From 494fdad26bbd9ba5e0f911156fbe18b7af99b582 Mon Sep 17 00:00:00 2001 From: Mat Date: Fri, 20 Oct 2023 09:48:04 +0100 Subject: [PATCH 01/64] DP-1833 First draft of the catalogue library (python 3.10) (#1960) * Initial commit of the catalogue library This uses python 3.10 since 3.11 doesn't work yet. * Add a minimal client class This creates the basic hierarchy of service/database/schema/table. To be extended later with optional metadata. * Add a gitignore * Add usage instructions * Lint * Set serviceType = Glue * Update documentation --- lib/datahub-client/.gitignore | 9 + lib/datahub-client/README.md | 46 + .../data_platform_catalogue/__init__.py | 1 + .../data_platform_catalogue/client.py | 161 ++ lib/datahub-client/diagram.png | Bin 0 -> 227322 bytes lib/datahub-client/poetry.lock | 2056 +++++++++++++++++ lib/datahub-client/pyproject.toml | 22 + lib/datahub-client/tests/__init__.py | 0 lib/datahub-client/tests/test_client.py | 196 ++ 9 files changed, 2491 insertions(+) create mode 100644 lib/datahub-client/.gitignore create mode 100644 lib/datahub-client/README.md create mode 100644 lib/datahub-client/data_platform_catalogue/__init__.py create mode 100644 lib/datahub-client/data_platform_catalogue/client.py create mode 100644 lib/datahub-client/diagram.png create mode 100644 lib/datahub-client/poetry.lock create mode 100644 lib/datahub-client/pyproject.toml create mode 100644 lib/datahub-client/tests/__init__.py create mode 100644 lib/datahub-client/tests/test_client.py diff --git a/lib/datahub-client/.gitignore b/lib/datahub-client/.gitignore new file mode 100644 index 00000000..b03b80e2 --- /dev/null +++ b/lib/datahub-client/.gitignore @@ -0,0 +1,9 @@ +.env +coverage/ +venv/ +env/ +.DS_STORE +.vscode +*.code-workspace +dist/ +__pycache__ diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md new file mode 100644 index 00000000..2be4d8b8 --- /dev/null +++ b/lib/datahub-client/README.md @@ -0,0 +1,46 @@ +# Data platform catalogue + +This library is part of the Ministry of Justice data platform. + +It provides functionality to publish object metadata to the OpenMetadata data catalogue +so that data products are discoverable. + +## How to install + +To install the package using `pip`, run: + +```shell +pip install data-platform-catalogue +``` + +## Topology + +- Each internal data platform catalogue is mapped to a database in the + OpenMetadata catalogue +- Each data product is mapped to a schema +- Each table is mapped to a table + +![Topology diagram](./diagram.png) + +## Example usage + +```python +from data_platform_catalogue import CatalogueClient + +client = CatalogueClient( + jwt_token="***", + api_uri="https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api" +) + +assert client.is_healthy() + +service_fqn = client.create_or_update_database_service(name="data_platform") +database_fqn = client.create_or_update_database(name="all_data_products", service_fqn=service_fqn) +schema_fqn = client.create_or_update_database(name="my_data_product", database_fqn=database_fqn) + +table_fqn = client.create_or_update_table( + name="my_table", + schema_fqn=schema_fqn, + column_types={"foo": "string", "bar": "int"} +) +``` diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py new file mode 100644 index 00000000..9df5f2ed --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/__init__.py @@ -0,0 +1 @@ +from .client import CatalogueClient # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client.py b/lib/datahub-client/data_platform_catalogue/client.py new file mode 100644 index 00000000..f8a1ea1c --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client.py @@ -0,0 +1,161 @@ +import json +import logging + +from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest +from metadata.generated.schema.api.data.createDatabaseSchema import ( + CreateDatabaseSchemaRequest, +) +from metadata.generated.schema.api.data.createTable import CreateTableRequest +from metadata.generated.schema.entity.data.table import Column +from metadata.generated.schema.entity.data.table import DataType as OpenMetadataDataType +from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import ( + OpenMetadataConnection, +) +from metadata.generated.schema.entity.services.databaseService import ( + DatabaseServiceType, +) +from metadata.generated.schema.security.client.openMetadataJWTClientConfig import ( + OpenMetadataJWTClientConfig, +) +from metadata.ingestion.ometa.ometa_api import OpenMetadata + +logger = logging.getLogger(__name__) + + +DATA_TYPE_MAPPING = { + "boolean": OpenMetadataDataType.BOOLEAN, + "tinyint": OpenMetadataDataType.TINYINT, + "smallint": OpenMetadataDataType.SMALLINT, + "int": OpenMetadataDataType.INT, + "integer": OpenMetadataDataType.INT, + "bigint": OpenMetadataDataType.BIGINT, + "double": OpenMetadataDataType.DOUBLE, + "float": OpenMetadataDataType.FLOAT, + "decimal": OpenMetadataDataType.DECIMAL, + "char": OpenMetadataDataType.CHAR, + "varchar": OpenMetadataDataType.VARCHAR, + "string": OpenMetadataDataType.STRING, + "date": OpenMetadataDataType.DATE, + "timestamp": OpenMetadataDataType.TIMESTAMP, +} + + +class CatalogueClient: + """ + Client for pushing metadata to the catalogue. + + Tables in the catalogue are arranged into the following hierarchy: + DatabaseService -> Database -> Schema -> Table + """ + + def __init__( + self, + jwt_token, + api_uri: str = "https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api", + ): + self.server_config = OpenMetadataConnection( + hostPort=api_uri, + securityConfig=OpenMetadataJWTClientConfig(jwtToken=jwt_token), + authProvider="openmetadata", + ) + self.metadata = OpenMetadata(self.server_config) + + def is_healthy(self) -> bool: + """ + Ping the catalogue health check and return True if healthy. + """ + return self.metadata.health_check() + + def create_or_update_database_service( + self, name: str = "data-platform", display_name: str = "Data platform" + ) -> str: + """ + Define a database service. + We have one service representing the connection to the data platform's internal + glue catalogue. + + Returns the fully qualified name of the metadata object in the catalogue. + """ + # Directly pass JSON as a workaround because in metadata.create_or_update won't let us pass + # an empty connection config if serviceType = Glue. + # This workaround can be removed when we update to OpenMetadata 1.2.0. + service = { + "name": name, + "displayName": display_name, + "serviceType": DatabaseServiceType.Glue.value, + "connection": {"config": {}}, + } + + logger.info(f"Creating {service}") + + response = self.metadata.client.put( + "/services/databaseServices", data=json.dumps(service) + ) + + return response["fullyQualifiedName"] + + def create_or_update_database(self, name: str, service_fqn: str): + """ + Define a database. + There should be one database per data platform catalogue. + """ + create_db = CreateDatabaseRequest( + name=name, + service=service_fqn, + ) + return self._create_or_update_entity(create_db) + + def create_or_update_schema(self, name: str, database_fqn: str): + """ + Define a database schema. + There should be one schema per data product. + """ + create_schema = CreateDatabaseSchemaRequest(name=name, database=database_fqn) + return self._create_or_update_entity(create_schema) + + def create_or_update_table( + self, name: str, column_types: dict[str, str], schema_fqn: str + ): + """ + Define a table. + There can be many tables per data product. + """ + columns = [ + Column(name=k, dataType=DATA_TYPE_MAPPING[v]) + for k, v in column_types.items() + ] + create_table = CreateTableRequest( + name=name, + databaseSchema=schema_fqn, + columns=columns, + ) + return self._create_or_update_entity(create_table) + + def _create_or_update_entity(self, data) -> str: + logger.info(f"Creating {data.json()}") + response = self.metadata.create_or_update(data=data) + return response.dict()["fullyQualifiedName"] + + def delete_database_service(self, fqn: str): + """ + Delete a database service. + """ + raise NotImplementedError + + def delete_database(self, fqn: str): + """ + Delete a database. + """ + raise NotImplementedError + + def delete_schema(self, fqn: str): + """ + Delete a schema + """ + raise NotImplementedError + + def delete_table(self, fqn: str): + """ + Delete a table. + """ + raise NotImplementedError diff --git a/lib/datahub-client/diagram.png b/lib/datahub-client/diagram.png new file mode 100644 index 0000000000000000000000000000000000000000..de5e82758dd7027968521747af7d7c7ebe84b88d GIT binary patch literal 227322 zcmaHT1zc2H+b;|tgET7L-3>#B^1*In394N>T~?(FfcHvU}q{{`=(Z*()U~_qS7<%YE z5C#B?1p^1YgN6RWgj&JC|GtNTp@v>zVBjDjFo@7A7W7Xk3-CX!faNT>|K8{PA{12> z1B0PgRTC#OGdpKXdlxoRG*oDC1+COHT{Pw8_)P3=nT<^Cjm?-nY#n}eff4ZFgWlSj zxfqdp*xJ}R^LYr8|EA!B-v4^cLQeXd#Kl^WTvJ|&RLtJVjFg+1m6?@X=s77VseqHI zIiHHSu(0v+^0Kh9v#_%>K`EG=J?&hKJecg9 zDgI*eKYYZ^oK2jp99*pI?MQ#|H8Qq$brB>d|0U?ZKY!_I=3(`>Bs=H-m<2VEmTu+d@0K2>l(F|8)Lm)C(k1z3JL_#Y1cE1JKbLc=NaT!7`jLqq6!!s{>$7#I;4u(+t22kgENqCb_y z_sirocXJCjix&h&?qFH$04m_KK%lYsd9sh>h=q7&^9tSO@k#GwI3cgtt#kKWh#z&%ZS}(;TKRsQz%T|52~vr>A!@QKVY%9Kge70mKD__>&p_ z&xOz*IPZNn=rqVRwH;^h?%?~2K#`T;b>rke$$otzH-w+35B$69Zwl4`ATDgCNEs7@ 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+[tool.poetry.dependencies] +python = "^3.10" +openmetadata-ingestion = "^1.1.7.0" + +# 1.5.4 doesn't install for some reason. Either way it will be removed from the next release of the ingestion package. +commonregex = "1.5.3" + +[tool.poetry.group.dev.dependencies] +requests-mock = "^1.11.0" +pytest = "^7.4.2" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/lib/datahub-client/tests/__init__.py b/lib/datahub-client/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/lib/datahub-client/tests/test_client.py b/lib/datahub-client/tests/test_client.py new file mode 100644 index 00000000..0feb189e --- /dev/null +++ b/lib/datahub-client/tests/test_client.py @@ -0,0 +1,196 @@ +import pytest +from data_platform_catalogue.client import CatalogueClient + + +class TestCatalogueClient: + def mock_service_response(self, fqn): + return { + "fullyQualifiedName": fqn, + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "name": "foo", + "serviceType": "Glue", + } + + def mock_database_response(self, fqn): + return { + "fullyQualifiedName": fqn, + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "name": "foo", + "service": { + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "type": "Glue", + }, + } + + def mock_schema_response(self, fqn): + return { + "fullyQualifiedName": fqn, + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "name": "foo", + "service": { + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "type": "Glue", + }, + "database": { + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "type": "", + }, + } + + def mock_table_response(self, fqn): + return { + "fullyQualifiedName": "some-table", + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "name": "foo", + "service": { + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "type": "Glue", + }, + "database": { + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "type": "", + }, + "databaseSchema": { + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + "type": "", + }, + "columns": [], + } + + @pytest.fixture + def client(self, requests_mock): + requests_mock.get( + "http://example.com/api/v1/system/version", + json={"version": "1.1.7.0", "revision": "1", "timestamp": 0}, + ) + + return CatalogueClient(jwt_token="abc", api_uri="http://example.com/api") + + def test_create_service(self, client, requests_mock): + requests_mock.put( + "http://example.com/api/v1/services/databaseServices", + json=self.mock_service_response("some-service"), + ) + + fqn = client.create_or_update_database_service() + + assert requests_mock.last_request.json() == { + "name": "data-platform", + "displayName": "Data platform", + "serviceType": "Glue", + "connection": {"config": {}}, + } + assert fqn == "some-service" + + def test_create_database(self, client, requests_mock): + requests_mock.put( + "http://example.com/api/v1/databases", + json=self.mock_database_response("some-db"), + ) + + fqn = client.create_or_update_database( + name="data-product", service_fqn="data-platform" + ) + assert requests_mock.last_request.json() == { + "name": "data-product", + "displayName": None, + "description": None, + "tags": None, + "owner": None, + "service": "data-platform", + "default": False, + "retentionPeriod": None, + "extension": None, + "sourceUrl": None, + } + assert fqn == "some-db" + + def test_create_schema(self, client, requests_mock): + requests_mock.put( + "http://example.com/api/v1/databaseSchemas", + json=self.mock_schema_response("some-schema"), + ) + + fqn = client.create_or_update_schema(name="schema", database_fqn="data-product") + assert requests_mock.last_request.json() == { + "name": "schema", + "displayName": None, + "description": None, + "owner": None, + "database": "data-product", + "tags": None, + "retentionPeriod": None, + "extension": None, + "sourceUrl": None, + } + assert fqn == "some-schema" + + def test_create_table(self, client, requests_mock): + requests_mock.put( + "http://example.com/api/v1/tables", + json=self.mock_table_response("some-table"), + ) + + fqn = client.create_or_update_table( + name="table", + schema_fqn="data-platform.data-product.schema", + column_types={"foo": "string", "bar": "int"}, + ) + assert requests_mock.last_request.json() == { + "name": "table", + "displayName": None, + "description": None, + "tableType": None, + "columns": [ + { + "name": "foo", + "displayName": None, + "dataType": "STRING", + "arrayDataType": None, + "dataLength": None, + "precision": None, + "scale": None, + "dataTypeDisplay": None, + "description": None, + "fullyQualifiedName": None, + "tags": None, + "constraint": None, + "ordinalPosition": None, + "jsonSchema": None, + "children": None, + "customMetrics": None, + "profile": None, + }, + { + "name": "bar", + "displayName": None, + "dataType": "INT", + "arrayDataType": None, + "dataLength": None, + "precision": None, + "scale": None, + "dataTypeDisplay": None, + "description": None, + "fullyQualifiedName": None, + "tags": None, + "constraint": None, + "ordinalPosition": None, + "jsonSchema": None, + "children": None, + "customMetrics": None, + "profile": None, + }, + ], + "tableConstraints": None, + "tablePartition": None, + "tableProfilerConfig": None, + "owner": None, + "databaseSchema": "data-platform.data-product.schema", + "tags": None, + "viewDefinition": None, + "retentionPeriod": None, + "extension": None, + "sourceUrl": None, + "fileFormat": None, + } + assert fqn == "some-table" From 3fdac18f97967ea2237f177dc0fc1bd1240b8ee0 Mon Sep 17 00:00:00 2001 From: Mat Date: Fri, 20 Oct 2023 15:45:20 +0100 Subject: [PATCH 02/64] Fix typo in package name to match pypi (#2011) * Fix typo in package name to match pypi * Install poetry before setup_python setup_python has a dependency on poetry if using the cache path. --- lib/datahub-client/README.md | 2 +- lib/datahub-client/pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 2be4d8b8..fabf84bd 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -10,7 +10,7 @@ so that data products are discoverable. To install the package using `pip`, run: ```shell -pip install data-platform-catalogue +pip install ministryofjustice-data-platform-catalogue ``` ## Topology diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 613a507c..8c824918 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,5 +1,5 @@ [tool.poetry] -name = "data-platform-catalogue" +name = "ministryofjustice-data-platform-catalogue" version = "0.1.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] From 014d20b98dd2144b5d125fc49153d619beabc7e2 Mon Sep 17 00:00:00 2001 From: Mat Date: Fri, 20 Oct 2023 16:03:41 +0100 Subject: [PATCH 03/64] Update paths since name of package has been renamed (#2013) --- lib/datahub-client/pyproject.toml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 8c824918..337108b6 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -5,9 +5,10 @@ description = "Library to integrate the MoJ data platform with the catalogue com authors = ["MoJ Data Platform Team "] license = "MIT" readme = "README.md" +packages = [{ include = "data_platform_catalogue" }] [tool.poetry.dependencies] -python = "^3.10" +python = "^3.10.0" openmetadata-ingestion = "^1.1.7.0" # 1.5.4 doesn't install for some reason. Either way it will be removed from the next release of the ingestion package. From 019540a81e98745b6a6b532790d782914eec9d09 Mon Sep 17 00:00:00 2001 From: Mat Date: Mon, 23 Oct 2023 15:06:09 +0100 Subject: [PATCH 04/64] Modify catalogue client to accept full metadata objects and hide internal exceptions (#2014) * Modify client to accept metadata objects This forces us to pass in: - name, description for database/schema/table - retention period at schema/table level - version, owner, email, dpi_required, domain at schema level We can also accept tags at any level. The tags must already exist within an OpenMetadata classification. Email, dpia_required, domain, versions are not yet passed through to the catalogue. These may require use of custom attributes. * Wrap exceptions from OpenMetadata This library is intended to present a catalogue-agnostic API to the rest of the ingestion service, so we should expose our own exception hierarchy instead of passing through OpenMetadata's. * lint * Bump version * Update codeowners for new library --- lib/datahub-client/README.md | 42 +++++-- .../data_platform_catalogue/__init__.py | 4 + .../data_platform_catalogue/client.py | 83 ++++++++++++-- .../data_platform_catalogue/entities.py | 30 +++++ lib/datahub-client/pyproject.toml | 2 +- lib/datahub-client/tests/test_client.py | 107 ++++++++++++++---- 6 files changed, 227 insertions(+), 41 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/entities.py diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index fabf84bd..4c75ea9a 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -25,7 +25,11 @@ pip install ministryofjustice-data-platform-catalogue ## Example usage ```python -from data_platform_catalogue import CatalogueClient +from data_platform_catalogue import ( + CatalogueClient, CatalogueMetadata, + DataProductMetadata, TableMetadata, + CatalogueError +) client = CatalogueClient( jwt_token="***", @@ -34,13 +38,35 @@ client = CatalogueClient( assert client.is_healthy() -service_fqn = client.create_or_update_database_service(name="data_platform") -database_fqn = client.create_or_update_database(name="all_data_products", service_fqn=service_fqn) -schema_fqn = client.create_or_update_database(name="my_data_product", database_fqn=database_fqn) -table_fqn = client.create_or_update_table( - name="my_table", - schema_fqn=schema_fqn, - column_types={"foo": "string", "bar": "int"} +catalogue = CatalogueMetadata( + name = "data_platform", + description = "All data products hosted on the data platform", +) + +data_product = DataProductMetadata( + name = "my_data_product", + description = "bla bla", + version = "v1.0.0", + owner = "7804c127-d677-4900-82f9-83517e51bb94", + email = "justice@justice.gov.uk", + retention_period_in_days = 365, + domain = "legal-aid", + dpia_required = False +) + +table = TableMetadata( + name = "my_table", + description = "bla bla", + column_types = {"foo": "string", "bar": "int"}, + retention_period_in_days = 365 ) + +try: + service_fqn = client.create_or_update_database_service(name="data_platform") + database_fqn = client.create_or_update_database(metadata=catalogue, service_fqn=service_fqn) + schema_fqn = client.create_or_update_schema(metadata=data_product, database_fqn=database_fqn) + table_fqn = client.create_or_update_table(metadata=table, schema_fqn=schema_fqn) +except CatalogueError: + print("oh no") ``` diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py index 9df5f2ed..1fcfe78f 100644 --- a/lib/datahub-client/data_platform_catalogue/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/__init__.py @@ -1 +1,5 @@ from .client import CatalogueClient # noqa: F401 +from .client import CatalogueError, ReferencedEntityMissing # noqa: F401 +from .entities import CatalogueMetadata # noqa: F401 +from .entities import DataProductMetadata # noqa: F401 +from .entities import TableMetadata # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client.py b/lib/datahub-client/data_platform_catalogue/client.py index f8a1ea1c..c2ba84fd 100644 --- a/lib/datahub-client/data_platform_catalogue/client.py +++ b/lib/datahub-client/data_platform_catalogue/client.py @@ -1,5 +1,6 @@ import json import logging +from http import HTTPStatus from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest from metadata.generated.schema.api.data.createDatabaseSchema import ( @@ -17,7 +18,17 @@ from metadata.generated.schema.security.client.openMetadataJWTClientConfig import ( OpenMetadataJWTClientConfig, ) -from metadata.ingestion.ometa.ometa_api import OpenMetadata +from metadata.generated.schema.type.basic import Duration +from metadata.generated.schema.type.entityReference import EntityReference +from metadata.generated.schema.type.tagLabel import ( + LabelType, + State, + TagLabel, + TagSource, +) +from metadata.ingestion.ometa.ometa_api import APIError, OpenMetadata + +from .entities import CatalogueMetadata, DataProductMetadata, TableMetadata logger = logging.getLogger(__name__) @@ -40,12 +51,28 @@ } +class CatalogueError(Exception): + """ + Base class for all errors. + """ + + +class ReferencedEntityMissing(CatalogueError): + """ + A referenced entity (such as a user or tag) does not yet exist when + attempting to create a new metadata resource in the catalogue. + """ + + class CatalogueClient: """ Client for pushing metadata to the catalogue. Tables in the catalogue are arranged into the following hierarchy: DatabaseService -> Database -> Schema -> Table + + If there is a problem communicating with the catalogue, methods will raise an instance of + CatalogueError. """ def __init__( @@ -94,38 +121,48 @@ def create_or_update_database_service( return response["fullyQualifiedName"] - def create_or_update_database(self, name: str, service_fqn: str): + def create_or_update_database(self, metadata: CatalogueMetadata, service_fqn: str): """ Define a database. There should be one database per data platform catalogue. """ create_db = CreateDatabaseRequest( - name=name, + name=metadata.name, + description=metadata.description, + tags=self._generate_tags(metadata.tags), service=service_fqn, ) return self._create_or_update_entity(create_db) - def create_or_update_schema(self, name: str, database_fqn: str): + def create_or_update_schema(self, metadata: DataProductMetadata, database_fqn: str): """ Define a database schema. There should be one schema per data product. """ - create_schema = CreateDatabaseSchemaRequest(name=name, database=database_fqn) + create_schema = CreateDatabaseSchemaRequest( + name=metadata.name, + description=metadata.description, + owner=EntityReference(id=metadata.owner, type="user"), + tags=self._generate_tags(metadata.tags), + retentionPeriod=self._generate_duration(metadata.retention_period_in_days), + database=database_fqn, + ) return self._create_or_update_entity(create_schema) - def create_or_update_table( - self, name: str, column_types: dict[str, str], schema_fqn: str - ): + def create_or_update_table(self, metadata: TableMetadata, schema_fqn: str): """ Define a table. There can be many tables per data product. """ columns = [ Column(name=k, dataType=DATA_TYPE_MAPPING[v]) - for k, v in column_types.items() + for k, v in metadata.column_types.items() ] create_table = CreateTableRequest( - name=name, + name=metadata.name, + description=metadata.description, + retentionPeriod=self._generate_duration(metadata.retention_period_in_days), + tags=self._generate_tags(metadata.tags), databaseSchema=schema_fqn, columns=columns, ) @@ -133,7 +170,17 @@ def create_or_update_table( def _create_or_update_entity(self, data) -> str: logger.info(f"Creating {data.json()}") - response = self.metadata.create_or_update(data=data) + + try: + response = self.metadata.create_or_update(data=data) + except APIError as exception: + if exception.status_code == HTTPStatus.NOT_FOUND: + raise ReferencedEntityMissing from exception + else: + raise CatalogueError from exception + except Exception as exception: + raise CatalogueError from exception + return response.dict()["fullyQualifiedName"] def delete_database_service(self, fqn: str): @@ -159,3 +206,17 @@ def delete_table(self, fqn: str): Delete a table. """ raise NotImplementedError + + def _generate_tags(self, tags: list[str]): + return [ + TagLabel( + tagFQN=tag, + labelType=LabelType.Automated, + source=TagSource.Classification, + state=State.Confirmed, + ) + for tag in tags + ] + + def _generate_duration(self, duration_in_days: int): + return Duration.parse_obj(f"P{duration_in_days}D") diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py new file mode 100644 index 00000000..e5b7b12a --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -0,0 +1,30 @@ +from dataclasses import dataclass, field + + +@dataclass +class CatalogueMetadata: + name: str + description: str + tags: list[str] = field(default_factory=list) + + +@dataclass +class DataProductMetadata: + name: str + description: str + version: str + owner: str + email: str + retention_period_in_days: int + domain: str + dpia_required: bool + tags: list[str] = field(default_factory=list) + + +@dataclass +class TableMetadata: + name: str + description: str + column_types: dict[str, str] + retention_period_in_days: int + tags: list[str] = field(default_factory=list) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 337108b6..4887d5a4 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.1.0" +version = "0.1.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_client.py b/lib/datahub-client/tests/test_client.py index 0feb189e..0f92f7eb 100644 --- a/lib/datahub-client/tests/test_client.py +++ b/lib/datahub-client/tests/test_client.py @@ -1,5 +1,10 @@ import pytest -from data_platform_catalogue.client import CatalogueClient +from data_platform_catalogue.client import CatalogueClient, ReferencedEntityMissing +from data_platform_catalogue.entities import ( + CatalogueMetadata, + DataProductMetadata, + TableMetadata, +) class TestCatalogueClient: @@ -57,6 +62,36 @@ def mock_table_response(self, fqn): "columns": [], } + @pytest.fixture + def catalogue(self): + return CatalogueMetadata( + name="data_platform", + description="All data products hosted on the data platform", + ) + + @pytest.fixture + def data_product(self): + return DataProductMetadata( + name="my_data_product", + description="bla bla", + version="v1.0.0", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="legal-aid", + dpia_required=False, + tags=["test"], + ) + + @pytest.fixture + def table(self): + return TableMetadata( + name="my_table", + description="bla bla", + column_types={"foo": "string", "bar": "int"}, + retention_period_in_days=365, + ) + @pytest.fixture def client(self, requests_mock): requests_mock.get( @@ -82,20 +117,20 @@ def test_create_service(self, client, requests_mock): } assert fqn == "some-service" - def test_create_database(self, client, requests_mock): + def test_create_database(self, client, requests_mock, catalogue): requests_mock.put( "http://example.com/api/v1/databases", json=self.mock_database_response("some-db"), ) fqn = client.create_or_update_database( - name="data-product", service_fqn="data-platform" + metadata=catalogue, service_fqn="data-platform" ) assert requests_mock.last_request.json() == { - "name": "data-product", + "name": "data_platform", "displayName": None, - "description": None, - "tags": None, + "description": "All data products hosted on the data platform", + "tags": [], "owner": None, "service": "data-platform", "default": False, @@ -105,41 +140,59 @@ def test_create_database(self, client, requests_mock): } assert fqn == "some-db" - def test_create_schema(self, client, requests_mock): + def test_create_schema(self, client, requests_mock, data_product): requests_mock.put( "http://example.com/api/v1/databaseSchemas", json=self.mock_schema_response("some-schema"), ) - fqn = client.create_or_update_schema(name="schema", database_fqn="data-product") + fqn = client.create_or_update_schema( + metadata=data_product, database_fqn="data-product" + ) assert requests_mock.last_request.json() == { - "name": "schema", + "name": "my_data_product", "displayName": None, - "description": None, - "owner": None, + "description": "bla bla", + "owner": { + "deleted": None, + "description": None, + "displayName": None, + "fullyQualifiedName": None, + "href": None, + "id": "2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + "name": None, + "type": "user", + }, "database": "data-product", - "tags": None, - "retentionPeriod": None, + "tags": [ + { + "description": None, + "href": None, + "labelType": "Automated", + "source": "Classification", + "state": "Confirmed", + "tagFQN": "test", + } + ], + "retentionPeriod": "P365D", "extension": None, "sourceUrl": None, } assert fqn == "some-schema" - def test_create_table(self, client, requests_mock): + def test_create_table(self, client, requests_mock, table): requests_mock.put( "http://example.com/api/v1/tables", json=self.mock_table_response("some-table"), ) fqn = client.create_or_update_table( - name="table", - schema_fqn="data-platform.data-product.schema", - column_types={"foo": "string", "bar": "int"}, + metadata=table, schema_fqn="data-platform.data-product.schema" ) assert requests_mock.last_request.json() == { - "name": "table", + "name": "my_table", "displayName": None, - "description": None, + "description": "bla bla", "tableType": None, "columns": [ { @@ -186,11 +239,23 @@ def test_create_table(self, client, requests_mock): "tableProfilerConfig": None, "owner": None, "databaseSchema": "data-platform.data-product.schema", - "tags": None, + "tags": [], "viewDefinition": None, - "retentionPeriod": None, + "retentionPeriod": "P365D", "extension": None, "sourceUrl": None, "fileFormat": None, } assert fqn == "some-table" + + def test_404_handling(self, client, requests_mock, table): + requests_mock.put( + "http://example.com/api/v1/tables", + status_code=404, + json={"code": "something", "message": "something"}, + ) + + with pytest.raises(ReferencedEntityMissing): + client.create_or_update_table( + metadata=table, schema_fqn="data-platform.data-product.schema" + ) From 61f3bc5043a44222d87c9ede12a67a6f2afef654 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 26 Oct 2023 15:26:29 +0100 Subject: [PATCH 05/64] Bump urllib3 from 2.0.6 to 2.0.7 in /python-libraries/data-platform-catalogue (#1997) Bump urllib3 in /python-libraries/data-platform-catalogue Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.0.6 to 2.0.7. - [Release notes](https://github.com/urllib3/urllib3/releases) - [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst) - [Commits](https://github.com/urllib3/urllib3/compare/2.0.6...2.0.7) --- updated-dependencies: - dependency-name: urllib3 dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- lib/datahub-client/poetry.lock | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index bacd1a24..8c63ee53 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -2006,13 +2006,13 @@ typing-extensions = ">=3.7.4" [[package]] name = "urllib3" -version = "2.0.6" +version = "2.0.7" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.7" files = [ - {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"}, - {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"}, + {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"}, + {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"}, ] [package.extras] From 5df2456a4c48305b992456fa81969180e1f393fb Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Fri, 3 Nov 2023 13:21:52 +0000 Subject: [PATCH 06/64] add functionality to `ministryofjustice-data-platform-catalogue` for metadata/schema pushes to openmetadata (#2176) * added `get_user_id` method and pass in column descriptions * add from dict methods to entities * add tests for get_user_id and new entity methods * upversion poetry * remove unused import from client * typo * correct type please * right upversion * lint * remove commented code * making entity args non optional --- .../data_platform_catalogue/client.py | 27 +- .../data_platform_catalogue/entities.py | 54 +- lib/datahub-client/poetry.lock | 766 +++++++++--------- lib/datahub-client/pyproject.toml | 6 +- lib/datahub-client/tests/test_client.py | 28 +- lib/datahub-client/tests/test_entities.py | 67 ++ 6 files changed, 534 insertions(+), 414 deletions(-) create mode 100644 lib/datahub-client/tests/test_entities.py diff --git a/lib/datahub-client/data_platform_catalogue/client.py b/lib/datahub-client/data_platform_catalogue/client.py index c2ba84fd..282dd1bc 100644 --- a/lib/datahub-client/data_platform_catalogue/client.py +++ b/lib/datahub-client/data_platform_catalogue/client.py @@ -15,6 +15,7 @@ from metadata.generated.schema.entity.services.databaseService import ( DatabaseServiceType, ) +from metadata.generated.schema.entity.teams.user import User from metadata.generated.schema.security.client.openMetadataJWTClientConfig import ( OpenMetadataJWTClientConfig, ) @@ -153,10 +154,16 @@ def create_or_update_table(self, metadata: TableMetadata, schema_fqn: str): """ Define a table. There can be many tables per data product. + columns are expected to be a list of dicts in the format + {"name": "column1", "type": "string", "description": "just an example"} """ columns = [ - Column(name=k, dataType=DATA_TYPE_MAPPING[v]) - for k, v in metadata.column_types.items() + Column( + name=column["name"], + dataType=DATA_TYPE_MAPPING[column["type"]], + description=column["description"], + ) + for column in metadata.column_details ] create_table = CreateTableRequest( name=metadata.name, @@ -183,6 +190,15 @@ def _create_or_update_entity(self, data) -> str: return response.dict()["fullyQualifiedName"] + def get_user_id(self, user_email: str): + """ + returns the user id from openmetadata when given a user's email + """ + username = user_email.split("@")[0] + user_id = self.metadata.get_by_name(entity=User, fqn=username).id + + return user_id + def delete_database_service(self, fqn: str): """ Delete a database service. @@ -218,5 +234,8 @@ def _generate_tags(self, tags: list[str]): for tag in tags ] - def _generate_duration(self, duration_in_days: int): - return Duration.parse_obj(f"P{duration_in_days}D") + def _generate_duration(self, duration_in_days: int | None): + if duration_in_days is None: + return None + else: + return Duration.parse_obj(f"P{duration_in_days}D") diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index e5b7b12a..5f5fbfbe 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -1,4 +1,5 @@ from dataclasses import dataclass, field +from typing import Any @dataclass @@ -20,11 +21,60 @@ class DataProductMetadata: dpia_required: bool tags: list[str] = field(default_factory=list) + @staticmethod + def from_data_product_metadata_dict(metadata: dict, version, owner_id: str): + """ + Expects a dict containing data product metatdata information as per the + required fields in the json schema at + https://github.com/ministryofjustice/modernisation-platform-environments/tree/main/terraform/environments/data-platform/data-product-metadata-json-schema + + and should be pass version and owner id as in openmetadata. + + Then populates a DataProductMetadata object with the given data. + """ + new_metadata = DataProductMetadata( + name=metadata["name"], + description=metadata["description"], + version=version, + owner=owner_id, + email=metadata["email"], + retention_period_in_days=metadata["retentionPeriod"], + domain=metadata["domain"], + dpia_required=metadata["dpiaRequired"], + tags=metadata.get("tags", []), + ) + + return new_metadata + @dataclass class TableMetadata: name: str description: str - column_types: dict[str, str] - retention_period_in_days: int + column_details: list + retention_period_in_days: int | None tags: list[str] = field(default_factory=list) + + @staticmethod + def from_data_product_schema_dict( + metadata: dict[str, Any], table_name, retention_period: int | None = None + ): + """ + Expects a dict containing data product table schema information as per the + required fields in the json schema at + https://github.com/ministryofjustice/modernisation-platform-environments/tree/main/terraform/environments/data-platform/data-product-table-schema-json-schema + + and should be passed table name and optionally a retention period + + Then populates a TableMetadata object with the given data. + """ + + new_metadata = TableMetadata( + name=table_name, + description=metadata["tableDescription"], + column_details=metadata["columns"], + retention_period_in_days=retention_period, + tags=metadata.get("tags", []), + ) + + return new_metadata diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index 8c63ee53..858010da 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -73,17 +73,17 @@ lxml = ["lxml"] [[package]] name = "boto3" -version = "1.28.64" +version = "1.28.76" description = "The AWS SDK for Python" optional = false python-versions = ">= 3.7" files = [ - 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platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"} [package.extras] -aiomysql = ["aiomysql", "greenlet (!=0.4.17)"] +aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"] aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"] asyncio = ["greenlet (!=0.4.17)"] asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"] @@ -1916,13 +1876,13 @@ widechars = ["wcwidth"] [[package]] name = "tblib" -version = "2.0.0" +version = "3.0.0" description = "Traceback serialization library." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "tblib-2.0.0-py3-none-any.whl", hash = "sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a"}, - {file = "tblib-2.0.0.tar.gz", hash = "sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7"}, + {file = "tblib-3.0.0-py3-none-any.whl", hash = "sha256:80a6c77e59b55e83911e1e607c649836a69c103963c5f28a46cbeef44acf8129"}, + {file = "tblib-3.0.0.tar.gz", hash = "sha256:93622790a0a29e04f0346458face1e144dc4d32f493714c6c3dff82a4adb77e6"}, ] [[package]] @@ -2052,5 +2012,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" -python-versions = "^3.10" -content-hash = "3417bef1d6d37b2d5e54e6d771526c308e732e5f54b3db4f038b046332bdb180" +python-versions = "^3.10.0" +content-hash = "d01687366c4750047425c9b7d9248b91b85fd277c9949d7149519b2a0c9c2892" diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 4887d5a4..f5d5a576 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.1.1" +version = "0.2.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" @@ -9,7 +9,9 @@ packages = [{ include = "data_platform_catalogue" }] [tool.poetry.dependencies] python = "^3.10.0" -openmetadata-ingestion = "^1.1.7.0" +# pinned to this version as was installing a later vesion and giving errors, seems a breaking +# change introduced inadvertently +openmetadata-ingestion = "1.1.7.0" # 1.5.4 doesn't install for some reason. Either way it will be removed from the next release of the ingestion package. commonregex = "1.5.3" diff --git a/lib/datahub-client/tests/test_client.py b/lib/datahub-client/tests/test_client.py index 0f92f7eb..f76c14ac 100644 --- a/lib/datahub-client/tests/test_client.py +++ b/lib/datahub-client/tests/test_client.py @@ -62,6 +62,12 @@ def mock_table_response(self, fqn): "columns": [], } + def mock_user_response(self, fqn): + return { + "email": "justice@justice.gov.uk", + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + } + @pytest.fixture def catalogue(self): return CatalogueMetadata( @@ -88,7 +94,10 @@ def table(self): return TableMetadata( name="my_table", description="bla bla", - column_types={"foo": "string", "bar": "int"}, + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], retention_period_in_days=365, ) @@ -204,7 +213,7 @@ def test_create_table(self, client, requests_mock, table): "precision": None, "scale": None, "dataTypeDisplay": None, - "description": None, + "description": "a", "fullyQualifiedName": None, "tags": None, "constraint": None, @@ -223,7 +232,7 @@ def test_create_table(self, client, requests_mock, table): "precision": None, "scale": None, "dataTypeDisplay": None, - "description": None, + "description": "b", "fullyQualifiedName": None, "tags": None, "constraint": None, @@ -259,3 +268,16 @@ def test_404_handling(self, client, requests_mock, table): client.create_or_update_table( metadata=table, schema_fqn="data-platform.data-product.schema" ) + + def test_get_user_id(self, requests_mock, client): + requests_mock.get( + "http://example.com/api/v1/users/name/justice", + json={ + "email": "justice@justice.gov.uk", + "name": "justice", + "id": "39b855e3-84a5-491e-b9a5-c411e626e340", + }, + ) + user_id = client.get_user_id("justice@justice.gov.uk") + + assert "39b855e3-84a5-491e-b9a5-c411e626e340" in str(user_id) diff --git a/lib/datahub-client/tests/test_entities.py b/lib/datahub-client/tests/test_entities.py new file mode 100644 index 00000000..d425aeae --- /dev/null +++ b/lib/datahub-client/tests/test_entities.py @@ -0,0 +1,67 @@ +import pytest +from data_platform_catalogue.entities import DataProductMetadata, TableMetadata + + +@pytest.fixture +def data_product(): + return DataProductMetadata( + name="my_data_product", + description="bla bla", + version="v1.0.0", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="legal-aid", + dpia_required=False, + tags=["test"], + ) + + +@pytest.fixture +def table(): + return TableMetadata( + name="my_table", + description="bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days=None, + tags=["test"], + ) + + +def test_from_data_product_metadata_dict(data_product): + data_product2 = DataProductMetadata.from_data_product_metadata_dict( + { + "name": "my_data_product", + "description": "bla bla", + "domain": "legal-aid", + "dataProductOwner": "justice@justice.gov.uk", + "dataProductOwnerDisplayName": "justice", + "email": "justice@justice.gov.uk", + "status": "draft", + "dpiaRequired": False, + "retentionPeriod": 365, + "tags": ["test"], + }, + "v1.0.0", + "2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + ) + assert data_product2 == data_product + + +def test_from_data_product_schema_dict(table): + table2 = TableMetadata.from_data_product_schema_dict( + { + "tableDescription": "bla bla", + "columns": [ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + "tags": ["test"], + }, + "my_table", + ) + + assert table2 == table From e3a0bfe37c4c9ab635ccd188a4147261d67b1a6a Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Fri, 10 Nov 2023 14:46:05 +0000 Subject: [PATCH 07/64] Dpl add owner attribute to create database (#2277) * add owner attribute to `CatalogueMetadata` entity * pass owner through `create_or_update_database()` * updates tests * upversion poetry * fix test * udate readme and diagram * update docstrings * correction readme example --- lib/datahub-client/README.md | 27 ++- .../data_platform_catalogue/client.py | 12 +- .../data_platform_catalogue/entities.py | 1 + lib/datahub-client/diagram.png | Bin 227322 -> 235822 bytes lib/datahub-client/poetry.lock | 216 +++++++++--------- lib/datahub-client/pyproject.toml | 2 +- lib/datahub-client/tests/test_client.py | 12 +- 7 files changed, 146 insertions(+), 124 deletions(-) diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 4c75ea9a..77406b1c 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -15,10 +15,9 @@ pip install ministryofjustice-data-platform-catalogue ## Topology -- Each internal data platform catalogue is mapped to a database in the - OpenMetadata catalogue -- Each data product is mapped to a schema -- Each table is mapped to a table +- Each moj data product is mapped to a database in the OpenMetadata catalogue +- We populate the schema level in openmetdata with a generic entry of `Tables` +- Each table is mapped to a table in openmetadata ![Topology diagram](./diagram.png) @@ -39,11 +38,6 @@ client = CatalogueClient( assert client.is_healthy() -catalogue = CatalogueMetadata( - name = "data_platform", - description = "All data products hosted on the data platform", -) - data_product = DataProductMetadata( name = "my_data_product", description = "bla bla", @@ -55,6 +49,17 @@ data_product = DataProductMetadata( dpia_required = False ) +data_product_schema = DataProductMetadata( + name = "Tables", + description = "All the tables contained within my_data_product", + version = "v1.0.0", + owner = "7804c127-d677-4900-82f9-83517e51bb94", + email = "justice@justice.gov.uk", + retention_period_in_days = 365, + domain = "legal-aid", + dpia_required = False +) + table = TableMetadata( name = "my_table", description = "bla bla", @@ -64,8 +69,8 @@ table = TableMetadata( try: service_fqn = client.create_or_update_database_service(name="data_platform") - database_fqn = client.create_or_update_database(metadata=catalogue, service_fqn=service_fqn) - schema_fqn = client.create_or_update_schema(metadata=data_product, database_fqn=database_fqn) + database_fqn = client.create_or_update_database(metadata=data_product, service_fqn=service_fqn) + schema_fqn = client.create_or_update_schema(metadata=data_product_schema, database_fqn=database_fqn) table_fqn = client.create_or_update_table(metadata=table, schema_fqn=schema_fqn) except CatalogueError: print("oh no") diff --git a/lib/datahub-client/data_platform_catalogue/client.py b/lib/datahub-client/data_platform_catalogue/client.py index 282dd1bc..634c2ad7 100644 --- a/lib/datahub-client/data_platform_catalogue/client.py +++ b/lib/datahub-client/data_platform_catalogue/client.py @@ -122,23 +122,29 @@ def create_or_update_database_service( return response["fullyQualifiedName"] - def create_or_update_database(self, metadata: CatalogueMetadata, service_fqn: str): + def create_or_update_database( + self, metadata: CatalogueMetadata | DataProductMetadata, service_fqn: str + ): """ Define a database. - There should be one database per data platform catalogue. + There should be one database per data product. """ create_db = CreateDatabaseRequest( name=metadata.name, description=metadata.description, tags=self._generate_tags(metadata.tags), service=service_fqn, + owner=EntityReference(id=metadata.owner, type="user"), ) return self._create_or_update_entity(create_db) def create_or_update_schema(self, metadata: DataProductMetadata, database_fqn: str): """ Define a database schema. - There should be one schema per data product. + There should be one schema per data product and for now flexibility is retained + and metadata is of type DataProductMetadata but we'd expect a uniform name and + description for each data product, e.g: + name="Tables", description="All the tables contained within {data_product_name}" """ create_schema = CreateDatabaseSchemaRequest( name=metadata.name, diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index 5f5fbfbe..74b953c0 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -6,6 +6,7 @@ class CatalogueMetadata: name: str description: str + owner: str tags: list[str] = field(default_factory=list) diff --git a/lib/datahub-client/diagram.png b/lib/datahub-client/diagram.png index de5e82758dd7027968521747af7d7c7ebe84b88d..827fdceb8889473f89075b14591b46a6dfcadbc4 100644 GIT binary patch literal 235822 zcmaHT1yo#1vo0D41Pwug!{9E#8C(W}Lx2Pg9)b?;PH?y2E(uNu?(XhxgS+dSZ+pqD}of|rO;4bqrkwxpn;^tm0@7uR-m73Mm9=6Vob9 z&vdALjdd6D|5b=cCl)#V7QFjY<85OS>++mXp`cwUX_rH3I(w$u%BIz0 z_l(L;1^q4c-n%!AaJUK9PT#VU8Yl&_`jy($Vk(({?7XvUmB!S#&rx)rV-)dHQMs|~ z%XpksF4t(xs0vxKmL4f2tSOC>&njj49j_P!6Ko|>l0V$1U%fdK;ToBdq)~_`dPQ{I zIZ7LetCQguOqfs>2+}N_Jv(}w)3GGVYac0}x>R=H(e?M9t%e9hmUgUG6w%e4P8Q`_ zGMO}_;a;VRPN(S$uy|X%c>Si`N$^c*7n|KutHc8_sl>-+#3{QAsGvU@X@HF7*wo67jSL+Ps$4-cRSi20xwm``c%WOkihAJAEf6 zOEBeMo&38WaU-ySt(mo*nUy8kuYUDETG`tPQc(OF=s!Py@oD5__TP~#!T*{Tbb>6u z-mtJSv$FheWOio8{|DKxH-C}+p4VT)3H<7ePtnZD=(DD{nFUm;P}YE4+;0Sa5A#3X z{Fl+cDAmA5wqjNmP(nN4f7S9Y;=jNAC*kiQHU2v!HwV|>hy2@{zfu000-u7d8FV!L zUor%;39$T+Xa8z1!17DLe-rp$+Wh?#s!kw^0Ly<&1BenQ8iWZ0BMbu)7g2SB-FHXw zqLTP=nUvya?8wDJsP713An>O87D48NuYXba1xUHV@$ni>fh{l}-x=d2{YQj}Kv=4f zjR9;f2xooF+1saO$J?pJw5CbN!;Z%Gw7Jyz#mTtaz1^Zx`BXkN%$6Wtu@+2Lgcq>? 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products hosted on the data platform", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", ) @pytest.fixture @@ -140,7 +141,16 @@ def test_create_database(self, client, requests_mock, catalogue): "displayName": None, "description": "All data products hosted on the data platform", "tags": [], - "owner": None, + "owner": { + "id": "2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + "type": "user", + "name": None, + "fullyQualifiedName": None, + "description": None, + "displayName": None, + "deleted": None, + "href": None, + }, "service": "data-platform", "default": False, "retentionPeriod": None, From d10bf95d12a4f66db1ede4d94d0ad886588b91e1 Mon Sep 17 00:00:00 2001 From: Mat Date: Mon, 13 Nov 2023 15:28:44 +0000 Subject: [PATCH 08/64] Update to latest OpenMetadata version (#2327) * Update to latest library version * Add an integration test we can run manually --- lib/datahub-client/CHANGELOG.md | 14 ++++ lib/datahub-client/README.md | 5 +- lib/datahub-client/poetry.lock | 81 ++++++++++--------- lib/datahub-client/pyproject.toml | 9 +-- lib/datahub-client/tests/test_client.py | 12 ++- .../tests/test_integration_with_server.py | 72 +++++++++++++++++ 6 files changed, 144 insertions(+), 49 deletions(-) create mode 100644 lib/datahub-client/CHANGELOG.md create mode 100644 lib/datahub-client/tests/test_integration_with_server.py diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md new file mode 100644 index 00000000..9325662c --- /dev/null +++ b/lib/datahub-client/CHANGELOG.md @@ -0,0 +1,14 @@ + + +# Changelog + +All notable changes to this project will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +## [Unreleased] + +## [0.3.1] 2023-11-13 + +- Updated to OpenMetadata 1.2 diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 77406b1c..2a52db22 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -63,7 +63,10 @@ data_product_schema = DataProductMetadata( table = TableMetadata( name = "my_table", description = "bla bla", - column_types = {"foo": "string", "bar": "int"}, + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], retention_period_in_days = 365 ) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index 1c98ae19..d65f4f50 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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"chardet (==4.0.0)", "collate-sqllineage (>=1.0.4)", "commonregex", "croniter (>=1.3.0,<1.4.0)", "cryptography", "email-validator (>=1.0.3)", "google (>=3.0.0)", "google-auth (>=1.33.0)", "grpcio-tools (>=1.47.2)", "idna (>=2.5,<3)", "importlib-metadata (>=4.13.0)", "jsonpatch (==1.32)", "jsonschema", "memory-profiler", "mypy-extensions (>=0.4.3)", "pydantic (>=1.10,<2.0)", "pymysql (>=1.0.2)", "python-dateutil (>=2.8.1)", "python-jose (>=3.3,<4.0)", "requests (>=2.23)", "requests-aws4auth (>=1.1,<2.0)", "setuptools (>=66.0.0,<66.1.0)", "sqlalchemy (>=1.4.0,<2)", "tabulate (==0.9.0)", "typing-compat (>=0.1.0,<0.2.0)", "typing-extensions (<=4.5.0)", "typing-inspect", "wheel (>=0.38.4,<0.39.0)"] +base = ["Jinja2 (>=2.11.3)", "PyYAML (>=6.0,<7.0)", "antlr4-python3-runtime (==4.9.2)", "avro (>=1.11,<2.0)", "boto3 (>=1.20,<2.0)", "cached-property (==1.5.2)", "chardet (==4.0.0)", "collate-sqllineage (>=1.0.4)", "croniter (>=1.3.0,<1.4.0)", "cryptography", "email-validator (>=1.0.3)", "google (>=3.0.0)", "google-auth (>=1.33.0)", "grpcio-tools (>=1.47.2)", "idna (>=2.5,<3)", "importlib-metadata (>=4.13.0)", "jsonpatch (==1.32)", "jsonschema", "memory-profiler", "mypy-extensions (>=0.4.3)", "pydantic (>=1.10,<2.0)", "pymysql (>=1.0.2)", "python-dateutil (>=2.8.1)", "python-jose (>=3.3,<4.0)", "requests (>=2.23)", "requests-aws4auth (>=1.1,<2.0)", "setuptools (>=66.0.0,<66.1.0)", "sqlalchemy (>=1.4.0,<2)", "tabulate (==0.9.0)", "typing-compat (>=0.1.0,<0.2.0)", "typing-extensions (<=4.5.0)", "typing-inspect", "wheel (>=0.38.4,<0.39.0)"] bigquery = ["cachetools", "google-cloud-datacatalog (>=3.6.2)", "google-cloud-logging", "pyarrow (>=10.0,<11.0)", "sqlalchemy-bigquery (>=1.2.2)"] clickhouse = ["clickhouse-driver (>=0.2,<1.0)", "clickhouse-sqlalchemy (>=0.2,<1.0)"] +couchbase = ["couchbase (>=4.1,<5.0)"] dagster = ["GeoAlchemy2 (>=0.12,<1.0)", "dagster-graphql (>=1.1,<2.0)", "psycopg2-binary", "pymysql (>=1.0.2)"] -data-insight = ["elasticsearch (==7.13.1)"] +data-insight = ["elasticsearch (==7.13.1)", "elasticsearch8 (>=8.9.0,<8.10.0)"] databricks = ["databricks-sdk (>=0.1,<1.0)", "sqlalchemy-databricks (>=0.1,<1.0)"] datalake-azure = ["adlfs (>=2022.2.0)", "azure-identity (>=1.12,<2.0)", "azure-storage-blob (>=12.14,<13.0)", "boto3 (>=1.20,<2.0)", "pandas (==1.3.5)", "pyarrow (>=10.0,<11.0)", "python-snappy (>=0.6.1,<0.7.0)"] datalake-gcs = ["boto3 (>=1.20,<2.0)", "gcsfs (==2022.11.0)", "google-cloud-storage (==1.43.0)", "pandas (==1.3.5)", "pyarrow (>=10.0,<11.0)", "python-snappy (>=0.6.1,<0.7.0)"] @@ -1055,21 +1055,22 @@ datalake-s3 = ["boto3 (>=1.20,<2.0)", "pandas (==1.3.5)", "pyarrow (>=10.0,<11.0 db2 = ["ibm-db-sa (>=0.3,<1.0)"] dbt = ["azure-identity (>=1.12,<2.0)", "azure-storage-blob (>=12.14,<13.0)", "boto3 (>=1.20,<2.0)", "dbt-artifacts-parser", "google-cloud", "google-cloud-storage (==1.43.0)"] deltalake = ["delta-spark (<=2.3.0)"] -dev = ["black (==22.3.0)", "datamodel-code-generator (==0.15.0)", "docker", "isort", "pre-commit", "pycln", "pylint", "twine"] +dev = ["black (==22.3.0)", "datamodel-code-generator (==0.22.0)", "docker", "isort", "pre-commit", "pycln", "pylint (>=3.0.0,<3.1.0)", "twine"] docker = ["python-on-whales (==0.55.0)"] domo = ["pydomo (>=0.3,<1.0)"] druid = ["pydruid (>=0.6.5)"] dynamodb = ["boto3 (>=1.20,<2.0)"] -elasticsearch = ["elasticsearch (==7.13.1)"] +e2e-test = ["pytest-base-url", "pytest-playwright"] +elasticsearch = ["elasticsearch (==7.13.1)", "elasticsearch8 (>=8.9.0,<8.10.0)"] glue = ["boto3 (>=1.20,<2.0)"] -great-expectations = ["great-expectations (>=0.16.0,<0.17.0)"] -hive = ["impyla (>=0.18.0,<0.19.0)", "presto-types-parser (>=0.0.2)", "pyhive (>=0.6,<1.0)", "sasl (>=0.3,<1.0)", "thrift (>=0.13,<1)", "thrift-sasl (>=0.4,<1.0)"] +great-expectations = ["great-expectations (>=0.17.0,<0.18.0)"] +hive = ["impyla (>=0.18.0,<0.19.0)", "presto-types-parser (>=0.0.2)", "pyhive (>=0.7,<1.0)", "sasl (>=0.3,<1.0)", "thrift (>=0.13,<1)", "thrift-sasl (>=0.4,<1.0)"] impala = ["impyla[kerberos] (>=0.18.0,<0.19.0)", "presto-types-parser (>=0.0.2)", "sasl (>=0.3,<1.0)", "thrift (>=0.13,<1)", "thrift-sasl (>=0.4,<1.0)"] kafka = ["avro (>=1.11,<2.0)", "confluent-kafka (==2.1.1)", "fastavro (>=1.2.0)", "grpcio-tools (>=1.47.2)", "protobuf"] kinesis = ["boto3 (>=1.20,<2.0)"] ldap-users = ["ldap3 (==2.9.1)"] -looker = ["lkml (>=1.3,<2.0)", "looker-sdk (>=22.20.0)"] -mlflow = ["alembic (>=1.10.2,<1.11.0)", "mlflow-skinny (>=1.30,<2.0)"] +looker = ["gitpython (>=3.1.34,<3.2.0)", "giturlparse", "lkml (>=1.3,<2.0)", "looker-sdk (>=22.20.0)"] +mlflow = ["alembic (>=1.10.2,<1.11.0)", "mlflow-skinny (>=2.3.0)"] mongo = ["pandas (==1.3.5)", "pymongo (>=4.3,<5.0)"] mssql = ["sqlalchemy-pytds (>=0.3,<1.0)"] mssql-odbc = ["pyodbc (>=4.0.35,<5)"] @@ -1081,8 +1082,8 @@ pii-processor = ["pandas (==1.3.5)", "presidio-analyzer (==2.2.32)", "spacy (==3 pinotdb = ["pinotdb (>=0.3,<1.0)"] postgres = ["GeoAlchemy2 (>=0.12,<1.0)", "packaging (==21.3)", "psycopg2-binary", "pymysql (>=1.0.2)"] powerbi = ["msal (>=1.2,<2.0)"] -presto = ["presto-types-parser (>=0.0.2)", "pyhive (>=0.6,<1.0)"] -pymssql = ["pymssql (==2.2.5)"] +presto = ["presto-types-parser (>=0.0.2)", "pyhive (>=0.7,<1.0)"] +pymssql = ["pymssql (>=2.2.0,<2.3.0)"] qliksense = ["websocket-client (>=1.6.1,<1.7.0)"] quicksight = ["boto3 (>=1.20,<2.0)"] redash = ["packaging (==21.3)"] @@ -1095,7 +1096,7 @@ singlestore = ["pymysql (>=1.0.2)"] sklearn = ["scikit-learn (>=1.0,<2.0)"] snowflake = ["snowflake-sqlalchemy (>=1.4,<2.0)"] tableau = ["tableau-api-lib (>=0.1,<1.0)"] -test = ["apache-airflow (==2.6.3)", "coverage", "dbt-artifacts-parser", "great-expectations (>=0.16.0,<0.17.0)", "moto (==4.0.8)", "pytest (==7.0.0)", "pytest-cov", "pytest-order"] +test = ["apache-airflow (==2.6.3)", "coverage", "databricks-sdk (>=0.1,<1.0)", "dbt-artifacts-parser", "elasticsearch8 (>=8.9.0,<8.10.0)", "giturlparse", "google (>=3.0.0)", "great-expectations (>=0.17.0,<0.18.0)", "lkml (>=1.3,<2.0)", "looker-sdk (>=22.20.0)", "moto (==4.0.8)", "pyarrow (>=10.0,<11.0)", "pydomo (>=0.3,<1.0)", "pyhive (>=0.7,<1.0)", "pymongo (>=4.3,<5.0)", "pytest (==7.0.0)", "pytest-cov", "pytest-order", "scikit-learn (>=1.0,<2.0)", "snowflake-sqlalchemy (>=1.4,<2.0)", "spacy (==3.5.0)", "sqlalchemy-databricks (>=0.1,<1.0)", "sqlalchemy-redshift (==0.8.12)", "tableau-api-lib (>=0.1,<1.0)", "trino[sqlalchemy]"] trino = ["trino[sqlalchemy]"] vertica = ["sqlalchemy-vertica[vertica-python] (>=0.0.5)"] @@ -2013,4 +2014,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.10.0" -content-hash = "d01687366c4750047425c9b7d9248b91b85fd277c9949d7149519b2a0c9c2892" +content-hash = "192a10b6c21e0925349c2e4583351c3dfd7fee33ea40806dcfb45bfa9e085143" diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 52b91605..4604829b 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.2.1" +version = "0.3.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" @@ -9,12 +9,7 @@ packages = [{ include = "data_platform_catalogue" }] [tool.poetry.dependencies] python = "^3.10.0" -# pinned to this version as was installing a later vesion and giving errors, seems a breaking -# change introduced inadvertently -openmetadata-ingestion = "1.1.7.0" - -# 1.5.4 doesn't install for some reason. Either way it will be removed from the next release of the ingestion package. -commonregex = "1.5.3" +openmetadata-ingestion = "~1.2.0.1" [tool.poetry.group.dev.dependencies] requests-mock = "^1.11.0" diff --git a/lib/datahub-client/tests/test_client.py b/lib/datahub-client/tests/test_client.py index 8821225a..f0fd2a6b 100644 --- a/lib/datahub-client/tests/test_client.py +++ b/lib/datahub-client/tests/test_client.py @@ -106,7 +106,7 @@ def table(self): def client(self, requests_mock): requests_mock.get( "http://example.com/api/v1/system/version", - json={"version": "1.1.7.0", "revision": "1", "timestamp": 0}, + json={"version": "1.2.0.1", "revision": "1", "timestamp": 0}, ) return CatalogueClient(jwt_token="abc", api_uri="http://example.com/api") @@ -139,6 +139,8 @@ def test_create_database(self, client, requests_mock, catalogue): assert requests_mock.last_request.json() == { "name": "data_platform", "displayName": None, + "domain": None, + "lifeCycle": None, "description": "All data products hosted on the data platform", "tags": [], "owner": { @@ -171,6 +173,8 @@ def test_create_schema(self, client, requests_mock, data_product): assert requests_mock.last_request.json() == { "name": "my_data_product", "displayName": None, + "domain": None, + "lifeCycle": None, "description": "bla bla", "owner": { "deleted": None, @@ -186,10 +190,13 @@ def test_create_schema(self, client, requests_mock, data_product): "tags": [ { "description": None, + "displayName": None, + "name": None, "href": None, "labelType": "Automated", "source": "Classification", "state": "Confirmed", + "style": None, "tagFQN": "test", } ], @@ -211,7 +218,10 @@ def test_create_table(self, client, requests_mock, table): assert requests_mock.last_request.json() == { "name": "my_table", "displayName": None, + "domain": None, + "lifeCycle": None, "description": "bla bla", + "dataProducts": None, "tableType": None, "columns": [ { diff --git a/lib/datahub-client/tests/test_integration_with_server.py b/lib/datahub-client/tests/test_integration_with_server.py new file mode 100644 index 00000000..06361d4f --- /dev/null +++ b/lib/datahub-client/tests/test_integration_with_server.py @@ -0,0 +1,72 @@ +""" +Integration test that runs against a development OpenMetadata server. + +Run with: +export API_URL='https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api' +export JWT_TOKEN=****** +poetry run pytest tests/test_integration_with_server.py +""" + +import os + +import pytest +from data_platform_catalogue import CatalogueClient, DataProductMetadata, TableMetadata + +jwt_token = os.environ.get("JWT_TOKEN") +api_url = os.environ.get("API_URL") +runs_on_development_server = pytest.mark.skipif("not jwt_token or not api_url") + + +@runs_on_development_server +def test_create_or_update_test_hierarchy(): + client = CatalogueClient(jwt_token=jwt_token, api_uri=api_url) + + assert client.is_healthy() + + data_product = DataProductMetadata( + name="my_data_product", + description="bla bla", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="legal-aid", + dpia_required=False, + ) + + data_product_schema = DataProductMetadata( + name="Tables", + description="All the tables contained within my_data_product", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="legal-aid", + dpia_required=False, + ) + + table = TableMetadata( + name="my_table", + description="bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days=365, + ) + + service_fqn = client.create_or_update_database_service(name="data_platform") + assert service_fqn == "data_platform" + + database_fqn = client.create_or_update_database( + metadata=data_product, service_fqn=service_fqn + ) + assert database_fqn == "data_platform.my_data_product" + + schema_fqn = client.create_or_update_schema( + metadata=data_product_schema, database_fqn=database_fqn + ) + assert schema_fqn == "data_platform.my_data_product.Tables" + + table_fqn = client.create_or_update_table(metadata=table, schema_fqn=schema_fqn) + assert table_fqn == "data_platform.my_data_product.Tables.my_table" From 1741697c0182801e12eb51e07facab61da63db8f Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 30 Nov 2023 13:20:35 +0000 Subject: [PATCH 09/64] Bump cryptography from 41.0.5 to 41.0.6 in /python-libraries/data-platform-catalogue (#2552) Bump cryptography in /python-libraries/data-platform-catalogue Bumps [cryptography](https://github.com/pyca/cryptography) from 41.0.5 to 41.0.6. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](https://github.com/pyca/cryptography/compare/41.0.5...41.0.6) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Jacob Woffenden --- lib/datahub-client/poetry.lock | 50 +++++++++++++++++----------------- 1 file changed, 25 insertions(+), 25 deletions(-) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index d65f4f50..d9c23f6c 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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[Release notes](https://github.com/pallets/jinja/releases) - [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst) - [Commits](https://github.com/pallets/jinja/compare/3.1.2...3.1.3) --- updated-dependencies: - dependency-name: jinja2 dependency-type: indirect ... 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<80110358+tom-webber@users.noreply.github.com> Date: Fri, 19 Jan 2024 14:41:57 +0000 Subject: [PATCH 11/64] Implement DataHub Catalogue client for dp-catalogue library (#2902) Generalise CatalogueClient and add datahub implementation - Convert CatalogueClient class into ABC base, so OMD and DataHub client classes can be inherited - implement DataHubCatalogueClient using DataHub gms - rename all `create_or_update_x` methods to `upsert_x` - add `create_domain` and `create_or_update_data_product` methods to DataHubCatalogueClient class - update `DataHubCatalogueClient.create_or_update_table` method to create domain and data product if they don't exist but are passed as `data_product_metadata` - associate tables with data products when created in DataHub --- lib/datahub-client/CHANGELOG.md | 18 + lib/datahub-client/README.md | 72 +- .../data_platform_catalogue/__init__.py | 6 +- .../client/__init__.py | 5 + .../data_platform_catalogue/client/base.py | 55 + .../data_platform_catalogue/client/datahub.py | 312 +++++ .../{client.py => client/openmetadata.py} | 133 +- .../data_platform_catalogue/entities.py | 13 + lib/datahub-client/diagram.png | Bin 235822 -> 0 bytes lib/datahub-client/poetry.lock | 1104 ++++++++++++++++- lib/datahub-client/pyproject.toml | 5 +- lib/datahub-client/tests/conftest.py | 50 + .../tests/snapshots/datahub_create_table.json | 70 ++ .../datahub_create_table_with_metadata.json | 129 ++ .../tests/test_client_datahub.py | 132 ++ ..._client.py => test_client_openmetadata.py} | 57 +- .../tests/test_helpers/graph_helpers.py | 137 ++ .../tests/test_helpers/mce_helpers.py | 417 +++++++ .../tests/test_helpers/type_helpers.py | 17 + .../test_integration_with_datahub_server.py | 61 + ...t_integration_with_openmetadata_server.py} | 22 +- 21 files changed, 2669 insertions(+), 146 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/__init__.py create mode 100644 lib/datahub-client/data_platform_catalogue/client/base.py create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub.py rename lib/datahub-client/data_platform_catalogue/{client.py => client/openmetadata.py} (74%) delete mode 100644 lib/datahub-client/diagram.png create mode 100644 lib/datahub-client/tests/conftest.py create mode 100644 lib/datahub-client/tests/snapshots/datahub_create_table.json create mode 100644 lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json create mode 100644 lib/datahub-client/tests/test_client_datahub.py rename lib/datahub-client/tests/{test_client.py => test_client_openmetadata.py} (84%) create mode 100644 lib/datahub-client/tests/test_helpers/graph_helpers.py create mode 100644 lib/datahub-client/tests/test_helpers/mce_helpers.py create mode 100644 lib/datahub-client/tests/test_helpers/type_helpers.py create mode 100644 lib/datahub-client/tests/test_integration_with_datahub_server.py rename lib/datahub-client/tests/{test_integration_with_server.py => test_integration_with_openmetadata_server.py} (70%) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 9325662c..750d886e 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -9,6 +9,24 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] +### Breaking changes + +- Changed `database_fqn`, `schema_fqn`, etc to a more generic + `location: DataLocation` argument on all methods. This captures information + about where a node in the metadata graph should be located, and what kind + of database it comes from. + +- Extracted `BaseCatalogueClient` base class from `CatalogueClient`. Use this + as a type annotation to avoid coupling to the OpenMetadata implementation. + +- Renamed the existing `CatalogueClient` implementation to + `OpenMetadataCatalogueClient`. + +### Added + +- Added `DataHubCatalogueClient` to support DataHub's GMS as the catalogue + implementation. + ## [0.3.1] 2023-11-13 - Updated to OpenMetadata 1.2 diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 2a52db22..3569fdcb 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -2,8 +2,11 @@ This library is part of the Ministry of Justice data platform. -It provides functionality to publish object metadata to the OpenMetadata data catalogue -so that data products are discoverable. +It publishes object metadata to a data catalogue, so that the +metadata can be made discoverable by consumers. + +Broadly speaking, a catalogue stores a _metadata graph_, consisting of +_data assets_. Data assets could be **tables**, **schemas** or **databases**. ## How to install @@ -13,30 +16,27 @@ To install the package using `pip`, run: pip install ministryofjustice-data-platform-catalogue ``` -## Topology - -- Each moj data product is mapped to a database in the OpenMetadata catalogue -- We populate the schema level in openmetdata with a generic entry of `Tables` -- Each table is mapped to a table in openmetadata +## Terminology -![Topology diagram](./diagram.png) +- **Data assets** - Any databases, tables, or schemas within the metadata graph +- **Data products** - Groupings of data assets that are published for + reuse across MOJ. In the data platform, the concepts of database and data + product are similar, but they may be represented as different entities in the + catalogue. +- **Domains** - allow metadata to be grouped into different service areas that have + their own governance, like HMCTS, HMPPS, OPG, etc. ## Example usage ```python from data_platform_catalogue import ( - CatalogueClient, CatalogueMetadata, + DataHubCatalogueClient, + BaseCatalogueClient, DataLocation, CatalogueMetadata, DataProductMetadata, TableMetadata, CatalogueError ) -client = CatalogueClient( - jwt_token="***", - api_uri="https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api" -) - -assert client.is_healthy() - +client: BaseCatalogueClient = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( name = "my_data_product", @@ -45,18 +45,7 @@ data_product = DataProductMetadata( owner = "7804c127-d677-4900-82f9-83517e51bb94", email = "justice@justice.gov.uk", retention_period_in_days = 365, - domain = "legal-aid", - dpia_required = False -) - -data_product_schema = DataProductMetadata( - name = "Tables", - description = "All the tables contained within my_data_product", - version = "v1.0.0", - owner = "7804c127-d677-4900-82f9-83517e51bb94", - email = "justice@justice.gov.uk", - retention_period_in_days = 365, - domain = "legal-aid", + domain = "HMCTS", dpia_required = False ) @@ -67,14 +56,31 @@ table = TableMetadata( {"name": "foo", "type": "string", "description": "a"}, {"name": "bar", "type": "int", "description": "b"}, ], - retention_period_in_days = 365 + retention_period_in_days = 365, + major_version = 1 ) try: - service_fqn = client.create_or_update_database_service(name="data_platform") - database_fqn = client.create_or_update_database(metadata=data_product, service_fqn=service_fqn) - schema_fqn = client.create_or_update_schema(metadata=data_product_schema, database_fqn=database_fqn) - table_fqn = client.create_or_update_table(metadata=table, schema_fqn=schema_fqn) + table_fqn = client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("test_data_product_v1"), + ) except CatalogueError: print("oh no") ``` + +## Catalogue Implementations + +### DataHub + +- Each data product within the MOJ data platform is created as a data product entity +- Each table is created as a dataset in DataHub +- Tables that reside in the same athena database (data_product_v1) should + be placed within the same DataHub container. + +## OpenMetadata + +- Each MOJ data product is mapped to a database in the OpenMetadata catalogue +- We populate the schema level in openmetdata with a generic entry of `Tables` +- Each table is mapped to a table in openmetadata diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py index 1fcfe78f..1489b0f3 100644 --- a/lib/datahub-client/data_platform_catalogue/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/__init__.py @@ -1,5 +1,5 @@ -from .client import CatalogueClient # noqa: F401 +from .client import DataHubCatalogueClient # noqa: F401 +from .client import OpenMetadataCatalogueClient # noqa: F401 from .client import CatalogueError, ReferencedEntityMissing # noqa: F401 -from .entities import CatalogueMetadata # noqa: F401 from .entities import DataProductMetadata # noqa: F401 -from .entities import TableMetadata # noqa: F401 +from .entities import CatalogueMetadata, DataLocation, TableMetadata # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/__init__.py b/lib/datahub-client/data_platform_catalogue/client/__init__.py new file mode 100644 index 00000000..e5becdb2 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/__init__.py @@ -0,0 +1,5 @@ +from .base import BaseCatalogueClient # noqa: F401 +from .base import CatalogueError # noqa: F401 +from .base import ReferencedEntityMissing # noqa: F401 +from .datahub import DataHubCatalogueClient # noqa: F401 +from .openmetadata import OpenMetadataCatalogueClient # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py new file mode 100644 index 00000000..31be915c --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -0,0 +1,55 @@ +import logging +from abc import ABC, abstractmethod + +from ..entities import ( + CatalogueMetadata, + DataLocation, + DataProductMetadata, + TableMetadata, +) + +logger = logging.getLogger(__name__) + + +class CatalogueError(Exception): + """ + Base class for all errors. + """ + + +class ReferencedEntityMissing(CatalogueError): + """ + A referenced entity (such as a user or tag) does not yet exist when + attempting to create a new metadata resource in the catalogue. + """ + + +class BaseCatalogueClient(ABC): + @abstractmethod + def upsert_database_service( + self, platform: str = "glue", display_name: str = "Data platform" + ) -> str: + pass + + @abstractmethod + def upsert_database( + self, + metadata: CatalogueMetadata | DataProductMetadata, + location: DataLocation, + ) -> str: + pass + + @abstractmethod + def upsert_schema( + self, metadata: DataProductMetadata, location: DataLocation + ) -> str: + pass + + @abstractmethod + def upsert_table( + self, + metadata: TableMetadata, + location: DataLocation, + data_product_metadata: DataProductMetadata | None = None, + ) -> str: + pass diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub.py b/lib/datahub-client/data_platform_catalogue/client/datahub.py new file mode 100644 index 00000000..d7afa9ef --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub.py @@ -0,0 +1,312 @@ +import datahub.emitter.mce_builder as mce_builder +import datahub.metadata.schema_classes as schema_classes +from data_platform_catalogue.client.base import ( + BaseCatalogueClient, + CatalogueError, + ReferencedEntityMissing, + logger, +) +from datahub.emitter.mce_builder import make_data_platform_urn +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph +from datahub.metadata.schema_classes import ( + ChangeTypeClass, + DataProductAssociationClass, + DataProductPropertiesClass, + DatasetPropertiesClass, + DomainPropertiesClass, + DomainsClass, + OtherSchemaClass, + SchemaFieldClass, + SchemaFieldDataTypeClass, + SchemaMetadataClass, +) + +from ..entities import ( + CatalogueMetadata, + DataLocation, + DataProductMetadata, + TableMetadata, +) + +DATAHUB_DATA_TYPE_MAPPING = { + "boolean": schema_classes.BooleanTypeClass(), + "tinyint": schema_classes.NumberTypeClass(), + "smallint": schema_classes.NumberTypeClass(), + "int": schema_classes.NumberTypeClass(), + "integer": schema_classes.NumberTypeClass(), + "bigint": schema_classes.NumberTypeClass(), + "double": schema_classes.NumberTypeClass(), + "float": schema_classes.NumberTypeClass(), + "decimal": schema_classes.NumberTypeClass(), + "char": schema_classes.StringTypeClass(), + "varchar": schema_classes.StringTypeClass(), + "string": schema_classes.StringTypeClass(), + "date": schema_classes.DateTypeClass(), + "timestamp": schema_classes.TimeTypeClass(), +} + + +class DataHubCatalogueClient(BaseCatalogueClient): + """Client for pushing metadata to the DataHub catalogue. + + Tables in the DataHub catalogue are arranged into the following hierarchy: + DataPlatform -> Dataset + + This client uses the General Metadata Service (GMS, https://datahubproject.io/docs/what/gms/) + of DataHub to create and update metadata within DataHub. This is implemented in the + python SDK as the 'python emitter' - https://datahubproject.io/docs/metadata-ingestion/as-a-library. + + If there is a problem communicating with the catalogue, methods will raise an + instance of CatalogueError. + """ + + def __init__(self, jwt_token, api_url: str, graph=None): + """Create a connection to the DataHub GMS endpoint for class methods to use. + + Args: + jwt_token: client token for interacting with the provided DataHub instance. + api_url (str, optional): GMS endpoint for the DataHub instance for the client object. + """ + if api_url.endswith("/"): + api_url = api_url[:-1] + if api_url.endswith("/api/gms") or api_url.endswith(":8080"): + self.gms_endpoint = api_url + elif api_url.endswith("/api"): + self.gms_endpoint = api_url + "/gms" + else: + raise CatalogueError("api_url is incorrectly formatted") + + self.server_config = DatahubClientConfig( + server=self.gms_endpoint, token=jwt_token + ) + self.graph = graph or DataHubGraph(self.server_config) + + def upsert_database_service(self, platform: str = "glue", *args, **kwargs) -> str: + """ + Define a DataHub 'Data Platform'. This is a type of connection, e.g. 'hive' or 'glue'. + + Returns the fully qualified name of the metadata object in the catalogue. + """ + + raise NotImplementedError + + def upsert_database( + self, metadata: CatalogueMetadata | DataProductMetadata, location: DataLocation + ) -> str: + """ + Define a database. Not implemented for DataHub, which uses Data Platforms + Datasets only. + """ + raise NotImplementedError + + def upsert_schema( + self, metadata: DataProductMetadata, location: DataLocation + ) -> str: + """ + Define a database. Not implemented for DataHub, which uses Data Platforms + Datasets only. + """ + raise NotImplementedError + + def create_domain( + self, domain: str, description: str = "", parentDomain: str | None = None + ) -> str: + """Create a Domain, a logical collection of Data assets (Data Products). + + Args: + metadata (DataProductMetadata): _description_ + """ + domain_properties = DomainPropertiesClass( + name=domain, description=description, parentDomain=parentDomain + ) + + domain_urn = mce_builder.make_domain_urn(domain=domain) + + metadata_event = MetadataChangeProposalWrapper( + entityType="domain", + changeType=ChangeTypeClass.UPSERT, + entityUrn=domain_urn, + aspect=domain_properties, + ) + self.graph.emit(metadata_event) + + return domain_urn + + def upsert_data_product(self, metadata: DataProductMetadata): + """ + Define a data product. Must belong to a domain + """ + metadata_dict = dict(metadata.__dict__) + metadata_dict.pop("version") + metadata_dict.pop("owner") + metadata_dict.pop("tags") + + name = metadata_dict.pop("name") + description = metadata_dict.pop("description") + + data_product_urn = "urn:li:dataProduct:" + "".join(name.split()) + + if metadata.domain: + domain = metadata_dict.pop("domain") + domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain) + + if domain_urn is None: + logger.info(f"creating new domain {domain} for {name}") + domain_urn = self.create_domain(domain=domain) + + data_product_domain = DomainsClass(domains=[domain_urn]) + metadata_event = MetadataChangeProposalWrapper( + entityType="dataproduct", + changeType=ChangeTypeClass.UPSERT, + entityUrn=data_product_urn, + aspect=data_product_domain, + ) + self.graph.emit(metadata_event) + logger.info(f"Data Product {name} associated with domain {domain}") + + data_product_properties = DataProductPropertiesClass( + customProperties={key: str(val) for key, val in metadata_dict.items()}, + description=description, + name=name, + ) + metadata_event = MetadataChangeProposalWrapper( + entityType="dataproduct", + changeType=ChangeTypeClass.UPSERT, + entityUrn=data_product_urn, + aspect=data_product_properties, + ) + self.graph.emit(metadata_event) + logger.info(f"Properties updated for Data Product {name} ") + + return data_product_urn + else: + raise ReferencedEntityMissing("Data Product must belong to a Domain") + + def upsert_table( + self, + metadata: TableMetadata, + location: DataLocation, + data_product_metadata: DataProductMetadata | None = None, + ) -> str: + """ + Define a table (a 'dataset' in DataHub parlance), a 'collection of data' + (https://datahubproject.io/docs/metadata-modeling/metadata-model#the-core-entities). + + There can be many tables per Data Product. + + Columns are expected to be a list of dicts in the format + {"name": "column1", "type": "string", "description": "just an example"} + + This method creates a schemaMetadata aspect object from the metadata object + (https://datahubproject.io/docs/generated/metamodel/entities/dataset/#schemametadata) + together with generating a unique reference name (URN) for the dataset used by DataHub. + These are then emitted to the rest.li api as a dataset creation/update event proposal. + + If tags are present in the metadata object, a second request is made to update the dataset + with these tags as a separate aspect. + + Args: + metadata (TableMetadata): metadata object. + platform (str, optional): DataHub data platform type. Defaults to "glue". + version (int, optional): Defaults to 1. + + Returns: + dataset_urn: the dataset URN + """ + if location.fully_qualified_name: + name = f"{location.fully_qualified_name}.{metadata.name}" + else: + name = metadata.name + + dataset_urn = mce_builder.make_dataset_urn( + platform=location.platform_id, name=name, env="PROD" + ) + + dataset_properties = DatasetPropertiesClass( + description=metadata.description, + # customProperties={"dpia_required": "yes"}, + ) + + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=dataset_properties, + ) + self.graph.emit(metadata_event) + + dataset_schema_properties = SchemaMetadataClass( + schemaName=metadata.name, + platform=make_data_platform_urn(platform=location.platform_id), + version=metadata.major_version, + hash="", + platformSchema=OtherSchemaClass(rawSchema=""), + fields=[ + SchemaFieldClass( + fieldPath=f"{column['name']}", + type=SchemaFieldDataTypeClass( + type=DATAHUB_DATA_TYPE_MAPPING[column["type"]] + ), + nativeDataType=column["type"], + description=column["description"], + ) + for column in metadata.column_details + ], + ) + + metadata_event = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=dataset_schema_properties, + ) + self.graph.emit(metadata_event) + + if metadata.tags: + tags_to_add = mce_builder.make_global_tag_aspect_with_tag_list( + tags=metadata.tags + ) + event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=tags_to_add, + ) + self.graph.emit(event) + + if data_product_metadata is not None: + data_product_urn = "urn:li:dataProduct:" + "".join( + data_product_metadata.name.split() + ) + data_product_exists = self.graph.exists(entity_urn=data_product_urn) + + if not data_product_exists: + data_product_urn = self.upsert_data_product( + metadata=data_product_metadata + ) + + data_product_existing_properties = self.graph.get_aspect( + entity_urn=data_product_urn, aspect_type=DataProductPropertiesClass + ) + + data_product_association = DataProductAssociationClass( + destinationUrn=dataset_urn, sourceUrn=data_product_urn + ) + + if ( + data_product_existing_properties is not None + and data_product_existing_properties.assets is not None + ): + assets = data_product_existing_properties.assets.append( + data_product_association + ) + else: + assets = [data_product_association] + data_product_properties = DataProductPropertiesClass(assets=assets) + + metadata_event = MetadataChangeProposalWrapper( + entityType="dataproduct", + changeType=ChangeTypeClass.UPSERT, + entityUrn=data_product_urn, + aspect=data_product_properties, + ) + self.graph.emit(metadata_event) + + return dataset_urn diff --git a/lib/datahub-client/data_platform_catalogue/client.py b/lib/datahub-client/data_platform_catalogue/client/openmetadata.py similarity index 74% rename from lib/datahub-client/data_platform_catalogue/client.py rename to lib/datahub-client/data_platform_catalogue/client/openmetadata.py index 634c2ad7..91ad4d46 100644 --- a/lib/datahub-client/data_platform_catalogue/client.py +++ b/lib/datahub-client/data_platform_catalogue/client/openmetadata.py @@ -1,7 +1,12 @@ import json -import logging from http import HTTPStatus +from data_platform_catalogue.client.base import ( + BaseCatalogueClient, + CatalogueError, + ReferencedEntityMissing, + logger, +) from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest from metadata.generated.schema.api.data.createDatabaseSchema import ( CreateDatabaseSchemaRequest, @@ -29,12 +34,14 @@ ) from metadata.ingestion.ometa.ometa_api import APIError, OpenMetadata -from .entities import CatalogueMetadata, DataProductMetadata, TableMetadata - -logger = logging.getLogger(__name__) - +from ..entities import ( + CatalogueMetadata, + DataLocation, + DataProductMetadata, + TableMetadata, +) -DATA_TYPE_MAPPING = { +OMD_DATA_TYPE_MAPPING = { "boolean": OpenMetadataDataType.BOOLEAN, "tinyint": OpenMetadataDataType.TINYINT, "smallint": OpenMetadataDataType.SMALLINT, @@ -52,22 +59,9 @@ } -class CatalogueError(Exception): - """ - Base class for all errors. - """ - - -class ReferencedEntityMissing(CatalogueError): - """ - A referenced entity (such as a user or tag) does not yet exist when - attempting to create a new metadata resource in the catalogue. - """ - - -class CatalogueClient: +class OpenMetadataCatalogueClient(BaseCatalogueClient): """ - Client for pushing metadata to the catalogue. + Client for pushing metadata to the OpenMetadata catalogue. Tables in the catalogue are arranged into the following hierarchy: DatabaseService -> Database -> Schema -> Table @@ -79,13 +73,13 @@ class CatalogueClient: def __init__( self, jwt_token, - api_uri: str = "https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api", + api_url: str, ): self.server_config = OpenMetadataConnection( - hostPort=api_uri, + hostPort=api_url, securityConfig=OpenMetadataJWTClientConfig(jwtToken=jwt_token), authProvider="openmetadata", - ) + ) # pyright: ignore[reportGeneralTypeIssues] self.metadata = OpenMetadata(self.server_config) def is_healthy(self) -> bool: @@ -94,7 +88,7 @@ def is_healthy(self) -> bool: """ return self.metadata.health_check() - def create_or_update_database_service( + def upsert_database_service( self, name: str = "data-platform", display_name: str = "Data platform" ) -> str: """ @@ -119,12 +113,14 @@ def create_or_update_database_service( response = self.metadata.client.put( "/services/databaseServices", data=json.dumps(service) ) + if response is not None: + return response["fullyQualifiedName"] + else: + raise ReferencedEntityMissing - return response["fullyQualifiedName"] - - def create_or_update_database( - self, metadata: CatalogueMetadata | DataProductMetadata, service_fqn: str - ): + def upsert_database( + self, metadata: CatalogueMetadata | DataProductMetadata, location: DataLocation + ) -> str: """ Define a database. There should be one database per data product. @@ -133,12 +129,16 @@ def create_or_update_database( name=metadata.name, description=metadata.description, tags=self._generate_tags(metadata.tags), - service=service_fqn, - owner=EntityReference(id=metadata.owner, type="user"), + service=location.fully_qualified_name, + owner=EntityReference( + id=metadata.owner, type="user" + ), # pyright: ignore[reportGeneralTypeIssues] ) - return self._create_or_update_entity(create_db) + return self._upsert_entity(create_db) - def create_or_update_schema(self, metadata: DataProductMetadata, database_fqn: str): + def upsert_schema( + self, metadata: DataProductMetadata, location: DataLocation + ) -> str: """ Define a database schema. There should be one schema per data product and for now flexibility is retained @@ -149,14 +149,22 @@ def create_or_update_schema(self, metadata: DataProductMetadata, database_fqn: s create_schema = CreateDatabaseSchemaRequest( name=metadata.name, description=metadata.description, - owner=EntityReference(id=metadata.owner, type="user"), + owner=EntityReference( + id=metadata.owner, type="user" + ), # pyright: ignore[reportGeneralTypeIssues] tags=self._generate_tags(metadata.tags), retentionPeriod=self._generate_duration(metadata.retention_period_in_days), - database=database_fqn, + database=location.fully_qualified_name, ) - return self._create_or_update_entity(create_schema) + return self._upsert_entity(create_schema) - def create_or_update_table(self, metadata: TableMetadata, schema_fqn: str): + def upsert_table( + self, + metadata: TableMetadata, + location: DataLocation, + *args, + **kwargs, + ) -> str: """ Define a table. There can be many tables per data product. @@ -166,9 +174,10 @@ def create_or_update_table(self, metadata: TableMetadata, schema_fqn: str): columns = [ Column( name=column["name"], - dataType=DATA_TYPE_MAPPING[column["type"]], + dataType=OMD_DATA_TYPE_MAPPING[column["type"]], description=column["description"], - ) + ) # pyright: ignore[reportGeneralTypeIssues] + # pyright is ignoring field(None,x) for column in metadata.column_details ] create_table = CreateTableRequest( @@ -176,12 +185,12 @@ def create_or_update_table(self, metadata: TableMetadata, schema_fqn: str): description=metadata.description, retentionPeriod=self._generate_duration(metadata.retention_period_in_days), tags=self._generate_tags(metadata.tags), - databaseSchema=schema_fqn, + databaseSchema=location.fully_qualified_name, columns=columns, - ) - return self._create_or_update_entity(create_table) + ) # pyright: ignore[reportGeneralTypeIssues] + return self._upsert_entity(create_table) - def _create_or_update_entity(self, data) -> str: + def _upsert_entity(self, data) -> str: logger.info(f"Creating {data.json()}") try: @@ -201,42 +210,22 @@ def get_user_id(self, user_email: str): returns the user id from openmetadata when given a user's email """ username = user_email.split("@")[0] - user_id = self.metadata.get_by_name(entity=User, fqn=username).id - - return user_id - - def delete_database_service(self, fqn: str): - """ - Delete a database service. - """ - raise NotImplementedError - - def delete_database(self, fqn: str): - """ - Delete a database. - """ - raise NotImplementedError - - def delete_schema(self, fqn: str): - """ - Delete a schema - """ - raise NotImplementedError - - def delete_table(self, fqn: str): - """ - Delete a table. - """ - raise NotImplementedError + user = self.metadata.get_by_name(entity=User, fqn=username) + if user is not None: + return user.id + else: + raise ReferencedEntityMissing def _generate_tags(self, tags: list[str]): + # TODO? update using the sdk logic: + # https://docs.open-metadata.org/v1.2.x/sdk/python/ingestion/tags#6-creating-the-classification return [ TagLabel( tagFQN=tag, labelType=LabelType.Automated, source=TagSource.Classification, state=State.Confirmed, - ) + ) # pyright: ignore[reportGeneralTypeIssues] for tag in tags ] diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index 74b953c0..a758f3d2 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -10,6 +10,18 @@ class CatalogueMetadata: tags: list[str] = field(default_factory=list) +@dataclass +class DataLocation: + """ + A representation of where the data can be found + (in our case, glue/athena) + """ + + fully_qualified_name: str + platform_type: str = "glue" + platform_id: str = "glue" + + @dataclass class DataProductMetadata: name: str @@ -55,6 +67,7 @@ class TableMetadata: column_details: list retention_period_in_days: int | None tags: list[str] = field(default_factory=list) + major_version: int = 1 @staticmethod def from_data_product_schema_dict( diff --git a/lib/datahub-client/diagram.png b/lib/datahub-client/diagram.png deleted file mode 100644 index 827fdceb8889473f89075b14591b46a6dfcadbc4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 235822 zcmaHT1yo#1vo0D41Pwug!{9E#8C(W}Lx2Pg9)b?;PH?y2E(uNu?(XhxgS+dSZ+pqD}of|rO;4bqrkwxpn;^tm0@7uR-m73Mm9=6Vob9 z&vdALjdd6D|5b=cCl)#V7QFjY<85OS>++mXp`cwUX_rH3I(w$u%BIz0 z_l(L;1^q4c-n%!AaJUK9PT#VU8Yl&_`jy($Vk(({?7XvUmB!S#&rx)rV-)dHQMs|~ z%XpksF4t(xs0vxKmL4f2tSOC>&njj49j_P!6Ko|>l0V$1U%fdK;ToBdq)~_`dPQ{I zIZ7LetCQguOqfs>2+}N_Jv(}w)3GGVYac0}x>R=H(e?M9t%e9hmUgUG6w%e4P8Q`_ zGMO}_;a;VRPN(S$uy|X%c>Si`N$^c*7n|KutHc8_sl>-+#3{QAsGvU@X@HF7*wo67jSL+Ps$4-cRSi20xwm``c%WOkihAJAEf6 zOEBeMo&38WaU-ySt(mo*nUy8kuYUDETG`tPQc(OF=s!Py@oD5__TP~#!T*{Tbb>6u z-mtJSv$FheWOio8{|DKxH-C}+p4VT)3H<7ePtnZD=(DD{nFUm;P}YE4+;0Sa5A#3X z{Fl+cDAmA5wqjNmP(nN4f7S9Y;=jNAC*kiQHU2v!HwV|>hy2@{zfu000-u7d8FV!L zUor%;39$T+Xa8z1!17DLe-rp$+Wh?#s!kw^0Ly<&1BenQ8iWZ0BMbu)7g2SB-FHXw zqLTP=nUvya?8wDJsP713An>O87D48NuYXba1xUHV@$ni>fh{l}-x=d2{YQj}Kv=4f zjR9;f2xooF+1saO$J?pJw5CbN!;Z%Gw7Jyz#mTtaz1^Zx`BXkN%$6Wtu@+2Lgcq>? 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a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 4604829b..f7addbb5 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -8,8 +8,11 @@ readme = "README.md" packages = [{ include = "data_platform_catalogue" }] [tool.poetry.dependencies] -python = "^3.10.0" +python = "^3.10" openmetadata-ingestion = "~1.2.0.1" +acryl-datahub = {extras = ["datahub-rest"], version = "^0.12.1.3"} +freezegun = "^1.4.0" +deepdiff = "^6.7.1" [tool.poetry.group.dev.dependencies] requests-mock = "^1.11.0" diff --git a/lib/datahub-client/tests/conftest.py b/lib/datahub-client/tests/conftest.py new file mode 100644 index 00000000..7752d91a --- /dev/null +++ b/lib/datahub-client/tests/conftest.py @@ -0,0 +1,50 @@ +from pathlib import Path +from typing import Any, Dict + +import pytest +from datahub.metadata.schema_classes import DomainPropertiesClass +from tests.test_helpers.graph_helpers import MockDataHubGraph +from tests.test_helpers.mce_helpers import check_golden_file + +FROZEN_TIME = "2023-04-14 07:00:00" + + +@pytest.fixture +def base_entity_metadata(): + return { + "urn:li:domain:12345": { + "domainProperties": DomainPropertiesClass( + name="Marketing", description="Marketing Domain" + ) + } + } + + +@pytest.fixture +def base_mock_graph( + base_entity_metadata: Dict[str, Dict[str, Any]] +) -> MockDataHubGraph: + return MockDataHubGraph(entity_graph=base_entity_metadata) + + +@pytest.fixture +def test_snapshots_dir(pytestconfig: pytest.Config) -> Path: + return pytestconfig.rootpath / "tests/snapshots" + + +@pytest.fixture +def check_snapshot(test_snapshots_dir, pytestconfig): + def _check_snapshot(name: str, output_file: Path): + last_snapshot = Path(test_snapshots_dir / name) + check_golden_file(pytestconfig, output_file, last_snapshot) + + return _check_snapshot + + +def pytest_addoption(parser): + parser.addoption( + "--update-golden-files", + action="store_true", + default=False, + ) + parser.addoption("--copy-output-files", action="store_true", default=False) diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json new file mode 100644 index 00000000..08236691 --- /dev/null +++ b/lib/datahub-client/tests/snapshots/datahub_create_table.json @@ -0,0 +1,70 @@ +[ +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetProperties", + "aspect": { + "json": { + "customProperties": {}, + "description": "bla bla", + "tags": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "schemaMetadata", + "aspect": { + "json": { + "schemaName": "my_table", + "platform": "urn:li:dataPlatform:glue", + "version": 1, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "foo", + "nullable": false, + "description": "a", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "bar", + "nullable": false, + "description": "b", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "int", + "recursive": false, + "isPartOfKey": false + } + ] + } + } +} +] diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json new file mode 100644 index 00000000..d6d2bd5f --- /dev/null +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -0,0 +1,129 @@ +[ +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetProperties", + "aspect": { + "json": { + "customProperties": {}, + "description": "bla bla", + "tags": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "schemaMetadata", + "aspect": { + "json": { + "schemaName": "my_table", + "platform": "urn:li:dataPlatform:glue", + "version": 1, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "foo", + "nullable": false, + "description": "a", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "bar", + "nullable": false, + "description": "b", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "int", + "recursive": false, + "isPartOfKey": false + } + ] + } + } +}, +{ + "entityType": "domain", + "entityUrn": "urn:li:domain:legal-aid", + "changeType": "UPSERT", + "aspectName": "domainProperties", + "aspect": { + "json": { + "name": "legal-aid", + "description": "" + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:legal-aid" + ] + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": { + "email": "justice@justice.gov.uk", + "retention_period_in_days": "365", + "dpia_required": "False" + }, + "name": "my_data_product", + "description": "bla bla" + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": {}, + "assets": [ + { + "sourceUrn": "urn:li:dataProduct:my_data_product", + "destinationUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" + } + ] + } + } +} +] diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/test_client_datahub.py new file mode 100644 index 00000000..583ac556 --- /dev/null +++ b/lib/datahub-client/tests/test_client_datahub.py @@ -0,0 +1,132 @@ +from pathlib import Path + +import pytest +from data_platform_catalogue.client import DataHubCatalogueClient +from data_platform_catalogue.entities import ( + CatalogueMetadata, + DataLocation, + DataProductMetadata, + TableMetadata, +) + + +class TestCatalogueClientWithDatahub: + """ + Test that the contract with DataHubGraph has not changed, using a mock. + + If this is the case, then the final metadata graph should match a snapshot we took earlier. + """ + + @pytest.fixture + def catalogue(self): + return CatalogueMetadata( + name="data_platform", + description="All data products hosted on the data platform", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + ) + + @pytest.fixture + def data_product(self): + return DataProductMetadata( + name="my_data_product", + description="bla bla", + version="v1.0.0", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="legal-aid", + dpia_required=False, + tags=["test"], + ) + + @pytest.fixture + def table(self): + return TableMetadata( + name="my_table", + description="bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days=365, + ) + + @pytest.fixture + def datahub_client(self, base_mock_graph) -> DataHubCatalogueClient: + return DataHubCatalogueClient( + jwt_token="abc", api_url="http://example.com/api/gms", graph=base_mock_graph + ) + + def test_create_table_datahub( + self, datahub_client, base_mock_graph, table, tmp_path, check_snapshot + ): + """ + Case where we just create a dataset (no data product) + """ + fqn = datahub_client.upsert_table( + metadata=table, + location=DataLocation(fully_qualified_name="my_database"), + ) + fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" + + assert fqn == fqn_out + + output_file = Path(tmp_path / "datahub_create_table.json") + base_mock_graph.sink_to_file(output_file) + check_snapshot("datahub_create_table.json", output_file) + + def test_create_table_with_metadata_datahub( + self, + datahub_client, + table, + data_product, + base_mock_graph, + tmp_path, + check_snapshot, + ): + """ + Case where we create a dataset, data product and domain + """ + fqn = datahub_client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("my_database"), + ) + fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" + + assert fqn == fqn_out + + output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") + base_mock_graph.sink_to_file(output_file) + check_snapshot("datahub_create_table_with_metadata.json", output_file) + + def test_create_table_and_metadata_idempotent_datahub( + self, + datahub_client, + table, + data_product, + base_mock_graph, + tmp_path, + check_snapshot, + ): + """ + `create_table` should work even if the entities already exist in the metadata graph. + """ + datahub_client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("my_database"), + ) + + fqn = datahub_client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("my_database"), + ) + fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" + + assert fqn == fqn_out + + output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") + base_mock_graph.sink_to_file(output_file) + check_snapshot("datahub_create_table_with_metadata.json", output_file) diff --git a/lib/datahub-client/tests/test_client.py b/lib/datahub-client/tests/test_client_openmetadata.py similarity index 84% rename from lib/datahub-client/tests/test_client.py rename to lib/datahub-client/tests/test_client_openmetadata.py index f0fd2a6b..e4d03003 100644 --- a/lib/datahub-client/tests/test_client.py +++ b/lib/datahub-client/tests/test_client_openmetadata.py @@ -1,13 +1,17 @@ import pytest -from data_platform_catalogue.client import CatalogueClient, ReferencedEntityMissing +from data_platform_catalogue.client import ( + OpenMetadataCatalogueClient, + ReferencedEntityMissing, +) from data_platform_catalogue.entities import ( CatalogueMetadata, + DataLocation, DataProductMetadata, TableMetadata, ) -class TestCatalogueClient: +class TestCatalogueClientWithOMD: def mock_service_response(self, fqn): return { "fullyQualifiedName": fqn, @@ -42,9 +46,9 @@ def mock_schema_response(self, fqn): }, } - def mock_table_response(self, fqn): + def mock_table_response_omd(self): return { - "fullyQualifiedName": "some-table", + "fullyQualifiedName": "my_table", "id": "39b855e3-84a5-491e-b9a5-c411e626e340", "name": "foo", "service": { @@ -103,21 +107,23 @@ def table(self): ) @pytest.fixture - def client(self, requests_mock): + def omd_client(self, requests_mock) -> OpenMetadataCatalogueClient: requests_mock.get( "http://example.com/api/v1/system/version", json={"version": "1.2.0.1", "revision": "1", "timestamp": 0}, ) - return CatalogueClient(jwt_token="abc", api_uri="http://example.com/api") + return OpenMetadataCatalogueClient( + jwt_token="abc", api_url="http://example.com/api" + ) - def test_create_service(self, client, requests_mock): + def test_create_service_omd(self, omd_client, requests_mock): requests_mock.put( "http://example.com/api/v1/services/databaseServices", json=self.mock_service_response("some-service"), ) - fqn = client.create_or_update_database_service() + fqn = omd_client.upsert_database_service() assert requests_mock.last_request.json() == { "name": "data-platform", @@ -127,14 +133,14 @@ def test_create_service(self, client, requests_mock): } assert fqn == "some-service" - def test_create_database(self, client, requests_mock, catalogue): + def test_create_database_omd(self, request, omd_client, requests_mock, catalogue): requests_mock.put( "http://example.com/api/v1/databases", json=self.mock_database_response("some-db"), ) - fqn = client.create_or_update_database( - metadata=catalogue, service_fqn="data-platform" + fqn: str = omd_client.upsert_database( + metadata=catalogue, location=DataLocation("data-platform") ) assert requests_mock.last_request.json() == { "name": "data_platform", @@ -161,14 +167,14 @@ def test_create_database(self, client, requests_mock, catalogue): } assert fqn == "some-db" - def test_create_schema(self, client, requests_mock, data_product): + def test_create_schema(self, request, omd_client, requests_mock, data_product): requests_mock.put( "http://example.com/api/v1/databaseSchemas", json=self.mock_schema_response("some-schema"), ) - fqn = client.create_or_update_schema( - metadata=data_product, database_fqn="data-product" + fqn = omd_client.upsert_schema( + metadata=data_product, location=DataLocation("data-product") ) assert requests_mock.last_request.json() == { "name": "my_data_product", @@ -206,15 +212,16 @@ def test_create_schema(self, client, requests_mock, data_product): } assert fqn == "some-schema" - def test_create_table(self, client, requests_mock, table): + def test_create_table_omd(self, request, omd_client, requests_mock, table): requests_mock.put( "http://example.com/api/v1/tables", - json=self.mock_table_response("some-table"), + json=self.mock_table_response_omd(), ) - fqn = client.create_or_update_table( - metadata=table, schema_fqn="data-platform.data-product.schema" + fqn = omd_client.upsert_table( + metadata=table, location=DataLocation("data-platform.data-product.schema") ) + assert requests_mock.called assert requests_mock.last_request.json() == { "name": "my_table", "displayName": None, @@ -275,9 +282,9 @@ def test_create_table(self, client, requests_mock, table): "sourceUrl": None, "fileFormat": None, } - assert fqn == "some-table" + assert fqn == "my_table" - def test_404_handling(self, client, requests_mock, table): + def test_404_handling_omd(self, request, omd_client, requests_mock, table): requests_mock.put( "http://example.com/api/v1/tables", status_code=404, @@ -285,11 +292,12 @@ def test_404_handling(self, client, requests_mock, table): ) with pytest.raises(ReferencedEntityMissing): - client.create_or_update_table( - metadata=table, schema_fqn="data-platform.data-product.schema" + omd_client.upsert_table( + metadata=table, + location=DataLocation("data-platform.data-product.schema"), ) - def test_get_user_id(self, requests_mock, client): + def test_get_user_id(self, request, requests_mock, omd_client): requests_mock.get( "http://example.com/api/v1/users/name/justice", json={ @@ -298,6 +306,7 @@ def test_get_user_id(self, requests_mock, client): "id": "39b855e3-84a5-491e-b9a5-c411e626e340", }, ) - user_id = client.get_user_id("justice@justice.gov.uk") + + user_id = omd_client.get_user_id("justice@justice.gov.uk") assert "39b855e3-84a5-491e-b9a5-c411e626e340" in str(user_id) diff --git a/lib/datahub-client/tests/test_helpers/graph_helpers.py b/lib/datahub-client/tests/test_helpers/graph_helpers.py new file mode 100644 index 00000000..ffa2cc64 --- /dev/null +++ b/lib/datahub-client/tests/test_helpers/graph_helpers.py @@ -0,0 +1,137 @@ +# from https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/tests/test_helpers/graph_helpers.py +# outputs MockDataHubGraph +from pathlib import Path +from typing import Any, Callable, Dict, Iterable, List, Optional, Type, Union + +from datahub.emitter.mce_builder import Aspect +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.emitter.mcp_builder import mcps_from_mce +from datahub.ingestion.api.common import PipelineContext +from datahub.ingestion.api.workunit import MetadataWorkUnit +from datahub.ingestion.graph.client import DataHubGraph +from datahub.ingestion.sink.file import write_metadata_file +from datahub.ingestion.source.file import FileSourceConfig, GenericFileSource +from datahub.metadata.com.linkedin.pegasus2avro.mxe import ( + MetadataChangeEvent, + MetadataChangeProposal, +) +from datahub.metadata.schema_classes import ( + ASPECT_NAME_MAP, + DomainPropertiesClass, + UsageAggregationClass, +) + + +class MockDataHubGraph(DataHubGraph): + def __init__( + self, entity_graph: Optional[Dict[str, Dict[str, Any]]] = None + ) -> None: + self.emitted: List[ + Union[ + MetadataChangeEvent, + MetadataChangeProposal, + MetadataChangeProposalWrapper, + ] + ] = [] + self.entity_graph = entity_graph or {} + + def import_file(self, file: Path) -> None: + """Imports metadata from any MCE/MCP file. Does not clear prior loaded data. + This function can be called repeatedly on the same + Mock instance to load up metadata from multiple files.""" + file_source: GenericFileSource = GenericFileSource( + ctx=PipelineContext(run_id="test"), config=FileSourceConfig(path=str(file)) + ) + for wu in file_source.get_workunits(): + if isinstance(wu, MetadataWorkUnit): + metadata = wu.get_metadata().get("metadata") + mcps: Iterable[ + Union[ + MetadataChangeProposal, + MetadataChangeProposalWrapper, + ] + ] + if isinstance(metadata, MetadataChangeEvent): + mcps = mcps_from_mce(metadata) + elif isinstance( + metadata, (MetadataChangeProposal, MetadataChangeProposalWrapper) + ): + mcps = [metadata] + else: + raise Exception( + f"Unexpected metadata type {type(metadata)}. Was expecting MCE, MCP or MCPW" + ) + + for mcp in mcps: + assert mcp.entityUrn + assert mcp.aspectName + assert mcp.aspect + if mcp.entityUrn not in self.entity_graph: + self.entity_graph[mcp.entityUrn] = {} + self.entity_graph[mcp.entityUrn][mcp.aspectName] = mcp.aspect + + def get_aspect( + self, entity_urn: str, aspect_type: Type[Aspect], version: int = 0 + ) -> Optional[Aspect]: + aspect_name = [v for v in ASPECT_NAME_MAP if ASPECT_NAME_MAP[v] == aspect_type][ + 0 + ] + result = self.entity_graph.get(entity_urn, {}).get(aspect_name, None) + if result is not None and isinstance(result, dict): + return aspect_type.from_obj(result) + else: + return result + + def get_domain_urn_by_name(self, domain_name: str) -> Optional[str]: + domain_metadata = { + urn: metadata + for urn, metadata in self.entity_graph.items() + if urn.startswith("urn:li:domain:") + } + domain_properties_metadata = { + urn: metadata["domainProperties"].name + for urn, metadata in domain_metadata.items() + if "domainProperties" in metadata + and isinstance(metadata["domainProperties"], DomainPropertiesClass) + } + urn_match = [ + urn + for urn, name in domain_properties_metadata.items() + if name == domain_name + ] + if urn_match: + return urn_match[0] + else: + return None + + def emit( + self, + item: Union[ + MetadataChangeEvent, + MetadataChangeProposal, + MetadataChangeProposalWrapper, + UsageAggregationClass, + ], + callback: Union[Callable[[Exception, str], None], None] = None, + ) -> None: + self.emitted.append(item) # type: ignore + + def emit_mce(self, mce: MetadataChangeEvent) -> None: + self.emitted.append(mce) + + def emit_mcp( + self, mcp: Union[MetadataChangeProposal, MetadataChangeProposalWrapper] + ) -> None: + self.emitted.append(mcp) + + def get_emitted( + self, + ) -> List[ + Union[ + MetadataChangeEvent, MetadataChangeProposal, MetadataChangeProposalWrapper + ] + ]: + return self.emitted + + def sink_to_file(self, file: Path) -> None: + write_metadata_file(file, self.emitted) diff --git a/lib/datahub-client/tests/test_helpers/mce_helpers.py b/lib/datahub-client/tests/test_helpers/mce_helpers.py new file mode 100644 index 00000000..dc0169e3 --- /dev/null +++ b/lib/datahub-client/tests/test_helpers/mce_helpers.py @@ -0,0 +1,417 @@ +# from https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/tests/test_helpers/mce_helpers.py + +import json +import logging +import os +import re +from typing import ( + Any, + Callable, + Dict, + List, + Optional, + Sequence, + Set, + Tuple, + Type, + Union, +) + +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.metadata.schema_classes import MetadataChangeEventClass +from datahub.testing.compare_metadata_json import ( + assert_metadata_files_equal, + load_json_file, +) +from datahub.utilities.urns.urn import Urn +from tests.test_helpers.type_helpers import PytestConfig + +logger = logging.getLogger(__name__) + +IGNORE_PATH_TIMESTAMPS = [ + # Ignore timestamps from the ETL pipeline. A couple examples: + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['created'\]\['time'\]", + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['lastModified'\]\['time'\]", + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['createStamp'\]\['time'\]", + r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['auditStamp'\]\['time'\]", +] + + +class MCEConstants: + PROPOSED_SNAPSHOT = "proposedSnapshot" + DATASET_SNAPSHOT_CLASS = ( + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot" + ) + + +class MCPConstants: + CHANGE_TYPE = "changeType" + ENTITY_URN = "entityUrn" + ENTITY_TYPE = "entityType" + ASPECT_NAME = "aspectName" + ASPECT_VALUE = "aspect" + + +class EntityType: + DATASET = "dataset" + PIPELINE = "dataFlow" + FLOW = "dataFlow" + TASK = "dataJob" + JOB = "dataJob" + USER = "corpuser" + GROUP = "corpGroup" + + +def clean_nones(value): + """ + Recursively remove all None values from dictionaries and lists, and returns + the result as a new dictionary or list. + """ + if isinstance(value, list): + return [clean_nones(x) for x in value if x is not None] + elif isinstance(value, dict): + return {key: clean_nones(val) for key, val in value.items() if val is not None} + else: + return value + + +def check_golden_file( + pytestconfig: PytestConfig, + output_path: Union[str, os.PathLike], + golden_path: Union[str, os.PathLike], + ignore_paths: Sequence[str] = (), +) -> None: + update_golden = pytestconfig.getoption("--update-golden-files") + copy_output = pytestconfig.getoption("--copy-output-files") + assert_metadata_files_equal( + output_path=output_path, + golden_path=golden_path, + update_golden=update_golden, + copy_output=copy_output, + ignore_paths=ignore_paths, + ) + + +def _get_field_for_entity_type_in_mce(entity_type: str) -> str: + """Returns the field to look for depending on the type of entity in the MCE""" + if entity_type == EntityType.DATASET: + return MCEConstants.DATASET_SNAPSHOT_CLASS + raise Exception(f"Not implemented for entity_type {entity_type}") + + +def _get_filter( + mce: bool = False, mcp: bool = False, entity_type: Optional[str] = None +) -> Callable[[Dict], bool]: + if mce: + # cheap way to determine if we are working with an MCE for the appropriate entity_type + if entity_type: + return ( + lambda x: MCEConstants.PROPOSED_SNAPSHOT in x + and _get_field_for_entity_type_in_mce(str(entity_type)) + in x[MCEConstants.PROPOSED_SNAPSHOT] + ) + else: + return lambda x: MCEConstants.PROPOSED_SNAPSHOT in x + if mcp: + # cheap way to determine if we are working with an MCP + return lambda x: MCPConstants.CHANGE_TYPE in x and ( + x[MCPConstants.ENTITY_TYPE] == entity_type if entity_type else True + ) + return lambda _: False + + +def _get_element(event: Dict[str, Any], path_spec: List[str]) -> Any: + try: + for p in path_spec: + if p not in event: + return None + else: + event = event.get(p, {}) + return event + except Exception as e: + print(event) + raise e + + +def _element_matches_pattern( + event: Dict[str, Any], path_spec: List[str], pattern: str +) -> Tuple[bool, bool]: + import re + + element = _get_element(event, path_spec) + if element is None: + return (False, False) + else: + return (True, re.search(pattern, str(element)) is not None) + + +def get_entity_urns(events_file: str) -> Set[str]: + events = load_json_file(events_file) + assert isinstance(events, list) + return _get_entity_urns(events) + + +def _get_entity_urns(events_list: List[Dict]) -> Set[str]: + entity_type = "dataset" + # mce urns + mce_urns = set( + [ + _get_element(x, _get_mce_urn_path_spec(entity_type)) + for x in events_list + if _get_filter(mce=True, entity_type=entity_type)(x) + ] + ) + mcp_urns = set( + [ + _get_element(x, _get_mcp_urn_path_spec()) + for x in events_list + if _get_filter(mcp=True, entity_type=entity_type)(x) + ] + ) + all_urns = mce_urns.union(mcp_urns) + return all_urns + + +def assert_mcp_entity_urn( + filter: str, entity_type: str, regex_pattern: str, file: str +) -> int: + def get_path_spec_for_urn() -> List[str]: + return [MCPConstants.ENTITY_URN] + + test_output = load_json_file(file) + if isinstance(test_output, list): + path_spec = get_path_spec_for_urn() + filter_operator = _get_filter(mcp=True, entity_type=entity_type) + filtered_events = [ + (x, _element_matches_pattern(x, path_spec, regex_pattern)) + for x in test_output + if filter_operator(x) + ] + failed_events = [y for y in filtered_events if not y[1][0] or not y[1][1]] + if failed_events: + raise Exception("Failed to match events", failed_events) + return len(filtered_events) + else: + raise Exception( + f"Did not expect the file {file} to not contain a list of items" + ) + + +def _get_mce_urn_path_spec(entity_type: str) -> List[str]: + if entity_type == EntityType.DATASET: + return [ + MCEConstants.PROPOSED_SNAPSHOT, + MCEConstants.DATASET_SNAPSHOT_CLASS, + "urn", + ] + raise Exception(f"Not implemented for entity_type: {entity_type}") + + +def _get_mcp_urn_path_spec() -> List[str]: + return [MCPConstants.ENTITY_URN] + + +def assert_mce_entity_urn( + filter: str, entity_type: str, regex_pattern: str, file: str +) -> int: + """Assert that all mce entity urns must match the regex pattern passed in. + + Return the number of events matched""" + + test_output = load_json_file(file) + if isinstance(test_output, list): + path_spec = _get_mce_urn_path_spec(entity_type) + filter_operator = _get_filter(mce=True) + filtered_events = [ + (x, _element_matches_pattern(x, path_spec, regex_pattern)) + for x in test_output + if filter_operator(x) + ] + failed_events = [y for y in filtered_events if not y[1][0] or not y[1][1]] + if failed_events: + raise Exception( + "Failed to match events: {json.dumps(failed_events, indent=2)}" + ) + return len(filtered_events) + else: + raise Exception( + f"Did not expect the file {file} to not contain a list of items" + ) + + +def assert_for_each_entity( + entity_type: str, + aspect_name: str, + aspect_field_matcher: Dict[str, Any], + file: str, + exception_urns: List[str] = [], +) -> int: + """Assert that an aspect name with the desired fields exists for each entity urn""" + test_output = load_json_file(file) + assert isinstance(test_output, list) + # mce urns + mce_urns = set( + [ + _get_element(x, _get_mce_urn_path_spec(entity_type)) + for x in test_output + if _get_filter(mce=True, entity_type=entity_type)(x) + ] + ) + mcp_urns = set( + [ + _get_element(x, _get_mcp_urn_path_spec()) + for x in test_output + if _get_filter(mcp=True, entity_type=entity_type)(x) + ] + ) + all_urns = mce_urns.union(mcp_urns) + # there should not be any None urns + assert None not in all_urns + aspect_map = {urn: None for urn in all_urns} + # iterate over all mcps + for o in [ + mcp + for mcp in test_output + if _get_filter(mcp=True, entity_type=entity_type)(mcp) + ]: + if o.get(MCPConstants.ASPECT_NAME) == aspect_name: + # load the inner aspect payload and assign to this urn + aspect_map[o[MCPConstants.ENTITY_URN]] = o.get( + MCPConstants.ASPECT_VALUE, {} + ).get("json") + + success: List[str] = [] + failures: List[str] = [] + for urn, aspect_val in aspect_map.items(): + if aspect_val is not None: + for f in aspect_field_matcher: + assert aspect_field_matcher[f] == _get_element( + aspect_val, [f] + ), f"urn: {urn} -> Field {f} must match value {aspect_field_matcher[f]}, found {_get_element(aspect_val, [f])}" # noqa: E501 + success.append(urn) + elif urn not in exception_urns: + print(f"Adding {urn} to failures") + failures.append(urn) + + if success: + print(f"Succeeded on assertion for urns {success}") + if failures: + raise AssertionError( + f"Failed to find aspect_name {aspect_name} for urns {json.dumps(failures, indent=2)}" + ) + + return len(success) + + +def assert_entity_mce_aspect( + entity_urn: str, aspect: Any, aspect_type: Type, file: str +) -> int: + # TODO: Replace with read_metadata_file() + test_output = load_json_file(file) + entity_type = Urn.create_from_string(entity_urn).get_type() + assert isinstance(test_output, list) + # mce urns + mces: List[MetadataChangeEventClass] = [ + MetadataChangeEventClass.from_obj(x) + for x in test_output + if _get_filter(mce=True, entity_type=entity_type)(x) + and _get_element(x, _get_mce_urn_path_spec(entity_type)) == entity_urn + ] + matches = 0 + for mce in mces: + for a in mce.proposedSnapshot.aspects: + if isinstance(a, aspect_type): + assert a == aspect + matches = matches + 1 + return matches + + +def assert_entity_mcp_aspect( + entity_urn: str, aspect_field_matcher: Dict[str, Any], aspect_name: str, file: str +) -> int: + # TODO: Replace with read_metadata_file() + test_output = load_json_file(file) + entity_type = Urn.create_from_string(entity_urn).get_type() + assert isinstance(test_output, list) + # mcps that match entity_urn + mcps: List[MetadataChangeProposalWrapper] = [ + MetadataChangeProposalWrapper.from_obj_require_wrapper(x) + for x in test_output + if _get_filter(mcp=True, entity_type=entity_type)(x) + and _get_element(x, _get_mcp_urn_path_spec()) == entity_urn + ] + matches = 0 + for mcp in mcps: + if mcp.aspectName == aspect_name: + assert mcp.aspect + aspect_val = mcp.aspect.to_obj() + for f in aspect_field_matcher: + assert aspect_field_matcher[f] == _get_element( + aspect_val, [f] + ), f"urn: {mcp.entityUrn} -> Field {f} must match value {aspect_field_matcher[f]}, found {_get_element(aspect_val, [f])}" # noqa: E501 + matches = matches + 1 + return matches + + +def assert_entity_urn_not_like(entity_type: str, regex_pattern: str, file: str) -> int: + """Assert that there are no entity urns that match the regex pattern passed in. + + Returns the total number of events in the file""" + + # TODO: Refactor common code with assert_entity_urn_like. + test_output = load_json_file(file) + assert isinstance(test_output, list) + # mce urns + mce_urns = set( + [ + _get_element(x, _get_mce_urn_path_spec(entity_type)) + for x in test_output + if _get_filter(mce=True, entity_type=entity_type)(x) + ] + ) + mcp_urns = set( + [ + _get_element(x, _get_mcp_urn_path_spec()) + for x in test_output + if _get_filter(mcp=True, entity_type=entity_type)(x) + ] + ) + all_urns = mce_urns.union(mcp_urns) + print(all_urns) + matched_urns = [u for u in all_urns if re.match(regex_pattern, u)] + if matched_urns: + raise AssertionError(f"urns found that match the deny list {matched_urns}") + return len(test_output) + + +def assert_entity_urn_like(entity_type: str, regex_pattern: str, file: str) -> int: + """Assert that there exist entity urns that match the regex pattern passed in. + + Returns the total number of events in the file""" + + test_output = load_json_file(file) + assert isinstance(test_output, list) + # mce urns + mce_urns = set( + [ + _get_element(x, _get_mce_urn_path_spec(entity_type)) + for x in test_output + if _get_filter(mce=True, entity_type=entity_type)(x) + ] + ) + mcp_urns = set( + [ + _get_element(x, _get_mcp_urn_path_spec()) + for x in test_output + if _get_filter(mcp=True, entity_type=entity_type)(x) + ] + ) + all_urns = mce_urns.union(mcp_urns) + print(all_urns) + matched_urns = [u for u in all_urns if re.match(regex_pattern, u)] + if matched_urns: + return len(matched_urns) + else: + raise AssertionError( + f"No urns found that match the pattern {regex_pattern}. Full list is {all_urns}" + ) diff --git a/lib/datahub-client/tests/test_helpers/type_helpers.py b/lib/datahub-client/tests/test_helpers/type_helpers.py new file mode 100644 index 00000000..d407a320 --- /dev/null +++ b/lib/datahub-client/tests/test_helpers/type_helpers.py @@ -0,0 +1,17 @@ +# from https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/tests/test_helpers/type_helpers.py + +from typing import Optional, TypeVar + +# The current PytestConfig solution is somewhat ugly and not ideal. +# However, it is currently the best solution available, as the type itself is not +# exported: https://docs.pytest.org/en/stable/reference.html#config. +# As pytest's type support improves, this will likely change. +# TODO: revisit pytestconfig as https://github.com/pytest-dev/pytest/issues/7469 progresses. +from _pytest.config import Config as PytestConfig # noqa: F401 + +_T = TypeVar("_T") + + +def assert_not_null(value: Optional[_T]) -> _T: + assert value is not None, "value is unexpectedly None" + return value diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py new file mode 100644 index 00000000..1dc89e74 --- /dev/null +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -0,0 +1,61 @@ +""" +Integration test that runs against a DataHub server + +Run with: +export API_URL='https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api' +export JWT_TOKEN=****** +poetry run pytest tests/test_integration_with_server.py +""" + +import os + +import pytest +from data_platform_catalogue import DataProductMetadata, TableMetadata +from data_platform_catalogue.client import DataHubCatalogueClient +from data_platform_catalogue.entities import DataLocation +from datahub.metadata.schema_classes import DatasetPropertiesClass, SchemaMetadataClass + +jwt_token = os.environ.get("JWT_TOKEN") +api_url = os.environ.get("API_URL", "") +runs_on_development_server = pytest.mark.skipif("not jwt_token or not api_url") + + +@runs_on_development_server +def test_upsert_test_hierarchy(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + data_product = DataProductMetadata( + name="test_data_product", + description="bla bla", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="Sample", + dpia_required=False, + ) + + table = TableMetadata( + name="test_table", + description="bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days=365, + tags=["test"], + ) + + table_fqn = client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("test_data_product_v2"), + ) + assert ( + table_fqn + == "urn:li:dataset:(urn:li:dataPlatform:glue,test_data_product_v2.test_table,PROD)" + ) + + # Ensure data went through + assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) + assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) diff --git a/lib/datahub-client/tests/test_integration_with_server.py b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py similarity index 70% rename from lib/datahub-client/tests/test_integration_with_server.py rename to lib/datahub-client/tests/test_integration_with_openmetadata_server.py index 06361d4f..11243a98 100644 --- a/lib/datahub-client/tests/test_integration_with_server.py +++ b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py @@ -10,16 +10,18 @@ import os import pytest -from data_platform_catalogue import CatalogueClient, DataProductMetadata, TableMetadata +from data_platform_catalogue import DataProductMetadata, TableMetadata +from data_platform_catalogue.client import OpenMetadataCatalogueClient +from data_platform_catalogue.entities import DataLocation jwt_token = os.environ.get("JWT_TOKEN") -api_url = os.environ.get("API_URL") +api_url = os.environ.get("API_URL", "") runs_on_development_server = pytest.mark.skipif("not jwt_token or not api_url") @runs_on_development_server -def test_create_or_update_test_hierarchy(): - client = CatalogueClient(jwt_token=jwt_token, api_uri=api_url) +def test_upsert_test_hierarchy(): + client = OpenMetadataCatalogueClient(jwt_token=jwt_token, api_url=api_url) assert client.is_healthy() @@ -55,18 +57,18 @@ def test_create_or_update_test_hierarchy(): retention_period_in_days=365, ) - service_fqn = client.create_or_update_database_service(name="data_platform") + service_fqn = client.upsert_database_service(name="data_platform") assert service_fqn == "data_platform" - database_fqn = client.create_or_update_database( - metadata=data_product, service_fqn=service_fqn + database_fqn = client.upsert_database( + metadata=data_product, location=DataLocation(service_fqn) ) assert database_fqn == "data_platform.my_data_product" - schema_fqn = client.create_or_update_schema( - metadata=data_product_schema, database_fqn=database_fqn + schema_fqn = client.upsert_schema( + metadata=data_product_schema, location=DataLocation(database_fqn) ) assert schema_fqn == "data_platform.my_data_product.Tables" - table_fqn = client.create_or_update_table(metadata=table, schema_fqn=schema_fqn) + table_fqn = client.upsert_table(metadata=table, location=DataLocation(schema_fqn)) assert table_fqn == "data_platform.my_data_product.Tables.my_table" From 2cc14f04755e57d2d6c0e31737ca90f6fff4f35b Mon Sep 17 00:00:00 2001 From: Mat Date: Tue, 23 Jan 2024 16:06:05 +0000 Subject: [PATCH 12/64] [DP-2782] Fix data product assets issue and bump the version (#3040) * Don't import openmetadata by default It's incompatable with python 3.11 which is really annoying. * Fix bug appending assets to a data product The list append() method returns None, so this was clearing the asset list every other time an asset was added. * Bump version --- lib/datahub-client/CHANGELOG.md | 4 +- .../data_platform_catalogue/__init__.py | 1 - .../client/__init__.py | 1 - .../data_platform_catalogue/client/datahub.py | 6 +- lib/datahub-client/pyproject.toml | 4 +- ...tahub_create_two_tables_with_metadata.json | 256 ++++++++++++++++++ .../tests/test_client_datahub.py | 47 ++++ .../tests/test_client_openmetadata.py | 6 +- ...st_integration_with_openmetadata_server.py | 2 +- 9 files changed, 314 insertions(+), 13 deletions(-) create mode 100644 lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 750d886e..d4b70d8b 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,7 +7,7 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [Unreleased] +## [0.4.0] 2024-01-19 ### Breaking changes @@ -16,6 +16,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 about where a node in the metadata graph should be located, and what kind of database it comes from. +- Renamed `create_or_update_*` methods to `upsert_*`. + - Extracted `BaseCatalogueClient` base class from `CatalogueClient`. Use this as a type annotation to avoid coupling to the OpenMetadata implementation. diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py index 1489b0f3..6e427eb8 100644 --- a/lib/datahub-client/data_platform_catalogue/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/__init__.py @@ -1,5 +1,4 @@ from .client import DataHubCatalogueClient # noqa: F401 -from .client import OpenMetadataCatalogueClient # noqa: F401 from .client import CatalogueError, ReferencedEntityMissing # noqa: F401 from .entities import DataProductMetadata # noqa: F401 from .entities import CatalogueMetadata, DataLocation, TableMetadata # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/__init__.py b/lib/datahub-client/data_platform_catalogue/client/__init__.py index e5becdb2..f19de51a 100644 --- a/lib/datahub-client/data_platform_catalogue/client/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/client/__init__.py @@ -2,4 +2,3 @@ from .base import CatalogueError # noqa: F401 from .base import ReferencedEntityMissing # noqa: F401 from .datahub import DataHubCatalogueClient # noqa: F401 -from .openmetadata import OpenMetadataCatalogueClient # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub.py b/lib/datahub-client/data_platform_catalogue/client/datahub.py index d7afa9ef..87966bd6 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub.py @@ -294,11 +294,11 @@ def upsert_table( data_product_existing_properties is not None and data_product_existing_properties.assets is not None ): - assets = data_product_existing_properties.assets.append( - data_product_association - ) + assets = data_product_existing_properties.assets[::] + assets.append(data_product_association) else: assets = [data_product_association] + data_product_properties = DataProductPropertiesClass(assets=assets) metadata_event = MetadataChangeProposalWrapper( diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index f7addbb5..c22ad548 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.3.1" +version = "0.4.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" @@ -10,7 +10,7 @@ packages = [{ include = "data_platform_catalogue" }] [tool.poetry.dependencies] python = "^3.10" openmetadata-ingestion = "~1.2.0.1" -acryl-datahub = {extras = ["datahub-rest"], version = "^0.12.1.3"} +acryl-datahub = { extras = ["datahub-rest"], version = "^0.12.1.3" } freezegun = "^1.4.0" deepdiff = "^6.7.1" diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json new file mode 100644 index 00000000..4d424eef --- /dev/null +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -0,0 +1,256 @@ +[ +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetProperties", + "aspect": { + "json": { + "customProperties": {}, + "description": "bla bla", + "tags": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "schemaMetadata", + "aspect": { + "json": { + "schemaName": "my_table", + "platform": "urn:li:dataPlatform:glue", + "version": 1, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "foo", + "nullable": false, + "description": "a", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "bar", + "nullable": false, + "description": "b", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "int", + "recursive": false, + "isPartOfKey": false + } + ] + } + } +}, +{ + "entityType": "domain", + "entityUrn": "urn:li:domain:legal-aid", + "changeType": "UPSERT", + "aspectName": "domainProperties", + "aspect": { + "json": { + "name": "legal-aid", + "description": "" + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:legal-aid" + ] + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": { + "email": "justice@justice.gov.uk", + "retention_period_in_days": "365", + "dpia_required": "False" + }, + "name": "my_data_product", + "description": "bla bla" + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": {}, + "assets": [ + { + "sourceUrn": "urn:li:dataProduct:my_data_product", + "destinationUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" + } + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetProperties", + "aspect": { + "json": { + "customProperties": {}, + "description": "this is a different table", + "tags": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)", + "changeType": "UPSERT", + "aspectName": "schemaMetadata", + "aspect": { + "json": { + "schemaName": "my_table2", + "platform": "urn:li:dataPlatform:glue", + "version": 1, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "boo", + "nullable": false, + "description": "spooky", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "boolean", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "yar", + "nullable": false, + "description": "shiver my timbers", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "isPartOfKey": false + } + ] + } + } +}, +{ + "entityType": "domain", + "entityUrn": "urn:li:domain:legal-aid", + "changeType": "UPSERT", + "aspectName": "domainProperties", + "aspect": { + "json": { + "name": "legal-aid", + "description": "" + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:legal-aid" + ] + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": { + "email": "justice@justice.gov.uk", + "retention_period_in_days": "365", + "dpia_required": "False" + }, + "name": "my_data_product", + "description": "bla bla" + } + } +}, +{ + "entityType": "dataproduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": {}, + "assets": [ + { + "sourceUrn": "urn:li:dataProduct:my_data_product", + "destinationUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)" + } + ] + } + } +} +] diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/test_client_datahub.py index 583ac556..27992b4e 100644 --- a/lib/datahub-client/tests/test_client_datahub.py +++ b/lib/datahub-client/tests/test_client_datahub.py @@ -51,6 +51,18 @@ def table(self): retention_period_in_days=365, ) + @pytest.fixture + def table2(self): + return TableMetadata( + name="my_table2", + description="this is a different table", + column_details=[ + {"name": "boo", "type": "boolean", "description": "spooky"}, + {"name": "yar", "type": "string", "description": "shiver my timbers"}, + ], + retention_period_in_days=1, + ) + @pytest.fixture def datahub_client(self, base_mock_graph) -> DataHubCatalogueClient: return DataHubCatalogueClient( @@ -100,6 +112,41 @@ def test_create_table_with_metadata_datahub( base_mock_graph.sink_to_file(output_file) check_snapshot("datahub_create_table_with_metadata.json", output_file) + def test_create_two_tables_with_metadata( + self, + datahub_client, + table, + table2, + data_product, + base_mock_graph, + tmp_path, + check_snapshot, + ): + """ + Case where we create a dataset, data product and domain + """ + fqn = datahub_client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("my_database"), + ) + fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" + + assert fqn == fqn_out + + fqn = datahub_client.upsert_table( + metadata=table2, + data_product_metadata=data_product, + location=DataLocation("my_database"), + ) + fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)" + + assert fqn == fqn_out + + output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") + base_mock_graph.sink_to_file(output_file) + check_snapshot("datahub_create_two_tables_with_metadata.json", output_file) + def test_create_table_and_metadata_idempotent_datahub( self, datahub_client, diff --git a/lib/datahub-client/tests/test_client_openmetadata.py b/lib/datahub-client/tests/test_client_openmetadata.py index e4d03003..d386a8d0 100644 --- a/lib/datahub-client/tests/test_client_openmetadata.py +++ b/lib/datahub-client/tests/test_client_openmetadata.py @@ -1,8 +1,6 @@ import pytest -from data_platform_catalogue.client import ( - OpenMetadataCatalogueClient, - ReferencedEntityMissing, -) +from data_platform_catalogue.client import ReferencedEntityMissing +from data_platform_catalogue.client.openmetadata import OpenMetadataCatalogueClient from data_platform_catalogue.entities import ( CatalogueMetadata, DataLocation, diff --git a/lib/datahub-client/tests/test_integration_with_openmetadata_server.py b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py index 11243a98..0337d631 100644 --- a/lib/datahub-client/tests/test_integration_with_openmetadata_server.py +++ b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py @@ -11,7 +11,7 @@ import pytest from data_platform_catalogue import DataProductMetadata, TableMetadata -from data_platform_catalogue.client import OpenMetadataCatalogueClient +from data_platform_catalogue.client.openmetadata import OpenMetadataCatalogueClient from data_platform_catalogue.entities import DataLocation jwt_token = os.environ.get("JWT_TOKEN") From e2f98d6efdb6cac5d0a80d0f13439d7c94327a08 Mon Sep 17 00:00:00 2001 From: Mat Date: Wed, 24 Jan 2024 13:06:38 +0000 Subject: [PATCH 13/64] [DP-2983] Add a method for search (#3051) * Add a method for search This method accepts a query and pagination variables, and returns the total number of results plus the results to display on the current page. For each search result, return: - the result type, DataSet or DataProduct - ID, name and description - tags - a dictionary of additional metadata fields (exactly what this will contain will depend on what tests well with users) - information about the properties which matched the search query - the time the metadata was last updated The raw responses from Datahub are logged at DEBUG level. For now I've excluded filters, facets, and sorting but these are supported by the underlying API. See - https://datahubproject.io/docs/graphql/inputObjects#facetfilterinput - https://datahubproject.io/docs/graphql/objects#facetmetadata - https://datahubproject.io/docs/graphql/inputObjects#searchsortinput * Parameterise result types in search queries --- .../data_platform_catalogue/__init__.py | 1 - .../client/__init__.py | 1 - .../data_platform_catalogue/client/base.py | 17 + .../client/datahub/__init__.py | 1 + .../{datahub.py => datahub/datahub_client.py} | 24 +- .../client/datahub/graphql/__init__.py | 0 .../client/datahub/graphql/search.graphql | 144 ++++++++ .../client/datahub/search.py | 182 +++++++++++ .../data_platform_catalogue/search_types.py | 27 ++ .../tests/test_client_datahub.py | 2 +- .../tests/test_datahub_search.py | 309 ++++++++++++++++++ .../test_integration_with_datahub_server.py | 34 +- 12 files changed, 737 insertions(+), 5 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py rename lib/datahub-client/data_platform_catalogue/client/{datahub.py => datahub/datahub_client.py} (94%) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/__init__.py create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/search.py create mode 100644 lib/datahub-client/data_platform_catalogue/search_types.py create mode 100644 lib/datahub-client/tests/test_datahub_search.py diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py index 6e427eb8..d0a34b65 100644 --- a/lib/datahub-client/data_platform_catalogue/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/__init__.py @@ -1,4 +1,3 @@ -from .client import DataHubCatalogueClient # noqa: F401 from .client import CatalogueError, ReferencedEntityMissing # noqa: F401 from .entities import DataProductMetadata # noqa: F401 from .entities import CatalogueMetadata, DataLocation, TableMetadata # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/__init__.py b/lib/datahub-client/data_platform_catalogue/client/__init__.py index f19de51a..44d4e8c7 100644 --- a/lib/datahub-client/data_platform_catalogue/client/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/client/__init__.py @@ -1,4 +1,3 @@ from .base import BaseCatalogueClient # noqa: F401 from .base import CatalogueError # noqa: F401 from .base import ReferencedEntityMissing # noqa: F401 -from .datahub import DataHubCatalogueClient # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 31be915c..5ab4f2e1 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -1,5 +1,6 @@ import logging from abc import ABC, abstractmethod +from typing import Sequence from ..entities import ( CatalogueMetadata, @@ -7,6 +8,7 @@ DataProductMetadata, TableMetadata, ) +from ..search_types import ResultType, SearchResponse logger = logging.getLogger(__name__) @@ -53,3 +55,18 @@ def upsert_table( data_product_metadata: DataProductMetadata | None = None, ) -> str: pass + + def search( + self, + query: str = "*", + count: int = 20, + page: str | None = None, + result_types: Sequence[ResultType] = ( + ResultType.DATA_PRODUCT, + ResultType.TABLE, + ), + ) -> SearchResponse: + """ + Wraps the catalogue's search function. + """ + raise NotImplementedError diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py b/lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py new file mode 100644 index 00000000..8b525dc1 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py @@ -0,0 +1 @@ +from .datahub_client import DataHubCatalogueClient # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py similarity index 94% rename from lib/datahub-client/data_platform_catalogue/client/datahub.py rename to lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 87966bd6..78b16204 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -1,3 +1,5 @@ +from typing import Sequence + import datahub.emitter.mce_builder as mce_builder import datahub.metadata.schema_classes as schema_classes from data_platform_catalogue.client.base import ( @@ -6,6 +8,7 @@ ReferencedEntityMissing, logger, ) +from data_platform_catalogue.search_types import ResultType, SearchResponse from datahub.emitter.mce_builder import make_data_platform_urn from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph @@ -22,12 +25,13 @@ SchemaMetadataClass, ) -from ..entities import ( +from ...entities import ( CatalogueMetadata, DataLocation, DataProductMetadata, TableMetadata, ) +from .search import SearchClient DATAHUB_DATA_TYPE_MAPPING = { "boolean": schema_classes.BooleanTypeClass(), @@ -81,6 +85,7 @@ def __init__(self, jwt_token, api_url: str, graph=None): server=self.gms_endpoint, token=jwt_token ) self.graph = graph or DataHubGraph(self.server_config) + self.search_client = SearchClient(self.graph) def upsert_database_service(self, platform: str = "glue", *args, **kwargs) -> str: """ @@ -310,3 +315,20 @@ def upsert_table( self.graph.emit(metadata_event) return dataset_urn + + def search( + self, + query: str = "*", + count: int = 20, + page: str | None = None, + result_types: Sequence[ResultType] = ( + ResultType.DATA_PRODUCT, + ResultType.TABLE, + ), + ) -> SearchResponse: + """ + Wraps the catalogue's search function. + """ + return self.search_client.search( + query=query, count=count, page=page, result_types=result_types + ) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/__init__.py b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql new file mode 100644 index 00000000..506ba0fb --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -0,0 +1,144 @@ +query Search( + $query: String! + $count: Int! + $start: Int! + $types: [EntityType!] +) { + searchAcrossEntities( + input: { types: $types, query: $query, start: $start, count: $count } + ) { + start + count + total + searchResults { + insights { + text + } + matchedFields { + name + value + } + entity { + type + ... on Dataset { + urn + type + platform { + name + } + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + name + properties { + name + qualifiedName + description + customProperties { + key + value + } + created + lastModified + } + editableProperties { + description + } + tags { + tags { + tag { + urn + properties { + name + description + } + } + } + } + lastIngested + domain { + domain { + urn + id + properties { + name + description + } + } + } + } + ... on DataProduct { + urn + type + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + properties { + name + description + customProperties { + key + value + } + numAssets + } + domain { + domain { + urn + id + properties { + name + description + } + } + } + tags { + tags { + tag { + urn + properties { + name + description + } + } + } + } + } + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py new file mode 100644 index 00000000..fdbe4894 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -0,0 +1,182 @@ +import json +import logging +from datetime import datetime +from importlib.resources import files +from typing import Any, Sequence + +from data_platform_catalogue.search_types import ( + ResultType, + SearchResponse, + SearchResult, +) +from datahub.configuration.common import GraphError +from datahub.ingestion.graph.client import DataHubGraph + +logger = logging.getLogger(__name__) + + +class SearchClient: + def __init__(self, graph: DataHubGraph): + self.graph = graph + self.search_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("search.graphql") + .read_text() + ) + + def search( + self, + query: str = "*", + count: int = 20, + page: str | None = None, + result_types: Sequence[ResultType] = ( + ResultType.DATA_PRODUCT, + ResultType.TABLE, + ), + ) -> SearchResponse: + """ + Wraps the catalogue's search function. + """ + if page is None: + start = 0 + else: + start = int(page) + + types = self._map_result_types(result_types) + + variables = {"count": count, "query": query, "start": start, "types": types} + + try: + response = self.graph.execute_graphql(self.search_query, variables) + except GraphError as e: + raise Exception("Unable to execute search") from e + + page_results = [] + response = response["searchAcrossEntities"] + + logger.debug(json.dumps(response, indent=2)) + + for result in response["searchResults"]: + entity = result["entity"] + entity_type = entity["type"] + matched_fields = { + i["name"]: i["value"] for i in result.get("matchedFields", []) + } + + if entity_type == "DATA_PRODUCT": + page_results.append(self._parse_data_product(entity, matched_fields)) + elif entity_type == "DATASET": + page_results.append(self._parse_dataset(entity, matched_fields)) + else: + raise ValueError(f"Unexpected entity type: {entity_type}") + + return SearchResponse( + total_results=response["total"], page_results=page_results + ) + + def _map_result_types(self, result_types: Sequence[ResultType]): + """ + Map result types to Datahub EntityTypes + """ + types = [] + if ResultType.DATA_PRODUCT in result_types: + types.append("DATA_PRODUCT") + if ResultType.TABLE in result_types: + types.append("DATASET") + return types + + def _parse_owner(self, entity: dict[str, Any]): + """ + Parse ownership information, if it is set. + """ + ownership = entity.get("ownership") or {} + owners = [i["owner"] for i in ownership.get("owners", [])] + if owners: + properties = owners[0].get("properties") or {} + owner_email = properties.get("email", "") + owner_name = properties.get("fullName", properties.get("displayName", "")) + else: + owner_email = "" + owner_name = "" + + return owner_email, owner_name + + def _parse_last_updated(self, entity: dict[str, Any]) -> datetime | None: + """ + Parse the last updated timestamp, if available + """ + timestamp = entity.get("lastIngested") + if timestamp is None: + return None + return datetime.utcfromtimestamp(timestamp / 1000) + + def _parse_tags(self, entity: dict[str, Any]) -> list[str]: + """ + Parse tag information into a flat list of strings for displaying + as part of the search result. + """ + outer_tags = entity.get("tags") or {} + tags = [] + for tag in outer_tags.get("tags", []): + properties = tag["tag"]["properties"] + if properties: + tags.append(properties["name"]) + return tags + + def _parse_properties(self, entity: dict[str, Any]) -> dict[str, Any]: + """ + Parse properties and editableProperties into a single dictionary. + """ + properties = entity["properties"] or {} + editable_properties = entity.get("editableProperties") or {} + properties.update(editable_properties) + return properties + + def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: + """ + Map a dataset entity to a SearchResult + """ + owner_email, owner_name = self._parse_owner(entity) + properties = self._parse_properties(entity) + tags = self._parse_tags(entity) + last_updated = self._parse_last_updated(entity) + name = entity["name"] + + return SearchResult( + id=entity["urn"], + result_type=ResultType.TABLE, + matches=matches, + name=properties.get("name", name), + description=properties.get("description", ""), + metadata={ + "owner": owner_name, + "owner_email": owner_email, + }, + tags=tags, + last_updated=last_updated, + ) + + def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: + """ + Map a data product entity to a SearchResult + """ + domain = entity["domain"]["domain"] + owner_email, owner_name = self._parse_owner(entity) + properties = self._parse_properties(entity) + tags = self._parse_tags(entity) + last_updated = self._parse_last_updated(entity) + + return SearchResult( + id=entity["urn"], + result_type=ResultType.DATA_PRODUCT, + matches=matches, + name=properties["name"], + description=properties.get("description", ""), + metadata={ + "owner": owner_name, + "owner_email": owner_email, + "domain": domain, + }, + tags=tags, + last_updated=last_updated, + ) diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py new file mode 100644 index 00000000..3baf4b70 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -0,0 +1,27 @@ +from dataclasses import dataclass, field +from datetime import datetime +from enum import Enum, auto +from typing import Any + + +class ResultType(Enum): + DATA_PRODUCT = auto() + TABLE = auto() + + +@dataclass +class SearchResult: + id: str + result_type: ResultType + name: str + description: str = "" + matches: dict[str, str] = field(default_factory=dict) + metadata: dict[str, Any] = field(default_factory=dict) + tags: list[str] = field(default_factory=list) + last_updated: datetime | None = None + + +@dataclass +class SearchResponse: + total_results: int + page_results: list[SearchResult] diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/test_client_datahub.py index 27992b4e..c56fe4be 100644 --- a/lib/datahub-client/tests/test_client_datahub.py +++ b/lib/datahub-client/tests/test_client_datahub.py @@ -1,7 +1,7 @@ from pathlib import Path import pytest -from data_platform_catalogue.client import DataHubCatalogueClient +from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient from data_platform_catalogue.entities import ( CatalogueMetadata, DataLocation, diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py new file mode 100644 index 00000000..d3c36dbd --- /dev/null +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -0,0 +1,309 @@ +from datetime import datetime +from unittest.mock import MagicMock + +import pytest +from data_platform_catalogue.client.datahub.search import SearchClient +from data_platform_catalogue.search_types import ( + ResultType, + SearchResponse, + SearchResult, +) + + +@pytest.fixture +def mock_graph(): + return MagicMock() + + +@pytest.fixture +def searcher(mock_graph): + return SearchClient(mock_graph) + + +def test_empty_search_results(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 0, + "total": 0, + "searchResults": [], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse(total_results=0, page_results=[]) + + +def test_one_search_result(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "entity": { + "type": "DATA_PRODUCT", + "urn": "urn:li:dataProduct:6cc5cbc4-c002-42c3-b80b-ed55df17d39f", + "ownership": None, + "properties": { + "name": "Use of force", + "description": "Prisons in England and Wales are required to record all instances of Use of Force within their establishment. Use of Force can be planned or unplanned and may involve various categories of control and restraint (C&R) techniques such as physical restraint or handcuffs.\n\nPlease refer to [PSO 1600](https://www.gov.uk/government/publications/use-of-force-in-prisons-pso-1600) for the current guidance.", # noqa E501 + "customProperties": [], + "numAssets": 7, + }, + "domain": { + "domain": { + "urn": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", + "id": "3dc18e48-c062-4407-84a9-73e23f768023", + "properties": { + "name": "HMPPS", + "description": "HMPPS is an executive agency that carries out sentences given by the courts, in custody and the community, and rehabilitates people through education and employment.", # noqa E501 + }, + } + }, + "tags": { + "tags": [ + { + "tag": { + "urn": "urn:li:tag:custody", + "properties": { + "name": "custody", + "description": "Data about prisons and prisoners. Not just NOMIS!", + }, + } + } + ] + }, + } + } + ], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataProduct:6cc5cbc4-c002-42c3-b80b-ed55df17d39f", + matches={}, + result_type=ResultType.DATA_PRODUCT, + name="Use of force", + description="Prisons in England and Wales are required to record all instances of Use of Force within their establishment. Use of Force can be planned or unplanned and may involve various categories of control and restraint (C&R) techniques such as physical restraint or handcuffs.\n\nPlease refer to [PSO 1600](https://www.gov.uk/government/publications/use-of-force-in-prisons-pso-1600) for the current guidance.", # noqa E501 + metadata={ + "domain": { + "id": "3dc18e48-c062-4407-84a9-73e23f768023", + "properties": { + "name": "HMPPS", + "description": "HMPPS is an executive agency that carries out sentences given by the courts, in custody and the community, and rehabilitates people through education and employment.", # noqa E501 + }, + "urn": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", + }, + "owner": "", + "owner_email": "", + }, + tags=["custody"], + ) + ], + ) + + +def test_full_page(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 3, + "total": 5, + "searchResults": [ + { + "insights": [], + "matchedFields": [], + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "platform": {"name": "bigquery"}, + "ownership": None, + "name": "calm-pagoda-323403.jaffle_shop.customers", + "properties": { + "name": "customers", + }, + "editableProperties": None, + "tags": None, + "lastIngested": 1705990502353, + }, + }, + { + "insights": [], + "matchedFields": [], + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", # noqa E501 + "name": "calm-pagoda-323403.jaffle_shop.customers2", + "properties": { + "name": "customers2", + }, + }, + }, + { + "insights": [], + "matchedFields": [], + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers3,PROD)", # noqa E501 + "name": "calm-pagoda-323403.jaffle_shop.customers3", + "properties": { + "name": "customers3", + }, + }, + }, + ], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=5, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers", + description="", + metadata={"owner": "", "owner_email": ""}, + tags=[], + last_updated=datetime(2024, 1, 23, 6, 15, 2, 353000), + ), + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers2", + description="", + metadata={"owner": "", "owner_email": ""}, + tags=[], + last_updated=None, + ), + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers3,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers3", + description="", + metadata={"owner": "", "owner_email": ""}, + tags=[], + last_updated=None, + ), + ], + ) + + +def test_query_match(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "insights": [], + "matchedFields": [ + { + "name": "urn", + "value": "urn:li:dataset:(urn:li:dataPlatform:looker,long_tail_companions.view.customer_focused,PROD)", # noqa E501 + }, + {"name": "name", "value": "customer_focused"}, + ], + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "name": "calm-pagoda-323403.jaffle_shop.customers", + "properties": { + "name": "customers", + }, + }, + } + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + matches={ + "urn": "urn:li:dataset:(urn:li:dataPlatform:looker,long_tail_companions.view.customer_focused,PROD)", # noqa E501 + "name": "customer_focused", + }, + result_type=ResultType.TABLE, + name="customers", + description="", + metadata={"owner": "", "owner_email": ""}, + tags=[], + ) + ], + ) + + +def test_result_with_owner(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "name": "calm-pagoda-323403.jaffle_shop.customers", + "ownership": { + "owners": [ + { + "owner": { + "urn": "urn:li:corpuser:shannon@longtail.com", + "properties": { + "fullName": "Shannon Lovett", + "email": "shannon@longtail.com", + }, + } + } + ] + }, + "properties": { + "name": "customers", + }, + }, + } + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers", + description="", + metadata={ + "owner": "Shannon Lovett", + "owner_email": "shannon@longtail.com", + }, + tags=[], + ) + ], + ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 1dc89e74..3ad1bbab 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -11,8 +11,9 @@ import pytest from data_platform_catalogue import DataProductMetadata, TableMetadata -from data_platform_catalogue.client import DataHubCatalogueClient +from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient from data_platform_catalogue.entities import DataLocation +from data_platform_catalogue.search_types import ResultType from datahub.metadata.schema_classes import DatasetPropertiesClass, SchemaMetadataClass jwt_token = os.environ.get("JWT_TOKEN") @@ -59,3 +60,34 @@ def test_upsert_test_hierarchy(): # Ensure data went through assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) + + +@runs_on_development_server +def test_search(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + response = client.search() + assert response.total_results > 20 + assert len(response.page_results) == 20 + + +@runs_on_development_server +def test_search_for_data_product(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + data_product = DataProductMetadata( + name="lfdskjflkjflkjsdflksfjds", + description="lfdskjflkjflkjsdflksfjds", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="Sample", + dpia_required=False, + ) + client.upsert_data_product(data_product) + + response = client.search( + query="lfdskjflkjflkjsdflksfjds", result_types=(ResultType.DATA_PRODUCT,) + ) + assert response.total_results >= 1 + assert response.page_results[0].id == "urn:li:dataProduct:lfdskjflkjflkjsdflksfjds" From 47ef4b1b6eb3beab856456baaebfa8a937f3db76 Mon Sep 17 00:00:00 2001 From: Mat Date: Wed, 24 Jan 2024 13:12:50 +0000 Subject: [PATCH 14/64] Bump version (#3059) --- lib/datahub-client/CHANGELOG.md | 6 ++++++ lib/datahub-client/pyproject.toml | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index d4b70d8b..2f17e26a 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.5.0] 2024-01-24 + +### Added + +- Search function + ## [0.4.0] 2024-01-19 ### Breaking changes diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index c22ad548..6e59cfc3 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.4.0" +version = "0.5.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" From 9d848ab12ce3636612456b6e48f151b086c8914f Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Thu, 25 Jan 2024 13:53:48 +0000 Subject: [PATCH 15/64] Added list data product method (#3068) * Added list data product method --- lib/datahub-client/CHANGELOG.md | 6 ++++++ lib/datahub-client/data_platform_catalogue/client/base.py | 3 +++ lib/datahub-client/pyproject.toml | 2 +- 3 files changed, 10 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 2f17e26a..91bf7ffb 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.6.0] 2024-01-24 + +### Added + +- BaseCatalogueClient.list_data_products() + ## [0.5.0] 2024-01-24 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 5ab4f2e1..0d534d67 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -70,3 +70,6 @@ def search( Wraps the catalogue's search function. """ raise NotImplementedError + + def list_data_products(self) -> SearchResponse: + return self.search(count=500, result_types=[ResultType.DATA_PRODUCT]) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 6e59cfc3..fb50e4b4 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.5.0" +version = "0.6.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" From 99c752b04e2319a23f5d61483762ec5e40ad7381 Mon Sep 17 00:00:00 2001 From: Mat Date: Fri, 26 Jan 2024 14:21:19 +0000 Subject: [PATCH 16/64] [DP-3074] Add filtering to search function (#3075) * Add parameter for search filters * Allow the search response to contain facet information Facets are the dynamic search filters that show how the search results break down across different dimensions. Returning these allows us to display only options that are relevant to the current result set and indicate the number of results matching each option. For most filters, we are expected to pass a URN as the value, so this is also the easiest way for the frontend to figure out what the possible values are. * Use relative imports throughout --- lib/datahub-client/CHANGELOG.md | 9 ++ lib/datahub-client/README.md | 20 ++++ .../data_platform_catalogue/client/base.py | 3 +- .../client/datahub/datahub_client.py | 16 +-- .../client/datahub/graphql/search.graphql | 34 +++++- .../client/datahub/search.py | 60 +++++++++- .../client/openmetadata.py | 7 +- .../data_platform_catalogue/search_types.py | 27 ++++- lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 108 ++++++++++++++++++ .../test_integration_with_datahub_server.py | 35 +++++- 11 files changed, 296 insertions(+), 25 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 91bf7ffb..a68d1609 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,15 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.7.0] 2024-01-25 + +### Added + +- Added filters param to the search function +- Return facets attribute to the search response. This is a dictionary mapping + fieldnames to `FacetOptions`, which expose values, display names and the + count of results with that value. + ## [0.6.0] 2024-01-24 ### Added diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 3569fdcb..4aeca66a 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -70,6 +70,26 @@ except CatalogueError: print("oh no") ``` +## Search example + +```python +response = client.search() + +# Total results across all pages +print(response.total_results) + +# Iterate over search results +for item in response.page_results: + print(item) + +# Iterate over facet options +for option in response.facets['domains']: + print(option) + +# Filter by domain +client.search(filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])]) +``` + ## Catalogue Implementations ### DataHub diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 0d534d67..8f02d228 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -8,7 +8,7 @@ DataProductMetadata, TableMetadata, ) -from ..search_types import ResultType, SearchResponse +from ..search_types import MultiSelectFilter, ResultType, SearchResponse logger = logging.getLogger(__name__) @@ -65,6 +65,7 @@ def search( ResultType.DATA_PRODUCT, ResultType.TABLE, ), + filters: Sequence[MultiSelectFilter] = (), ) -> SearchResponse: """ Wraps the catalogue's search function. diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 78b16204..e7402e92 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -2,13 +2,6 @@ import datahub.emitter.mce_builder as mce_builder import datahub.metadata.schema_classes as schema_classes -from data_platform_catalogue.client.base import ( - BaseCatalogueClient, - CatalogueError, - ReferencedEntityMissing, - logger, -) -from data_platform_catalogue.search_types import ResultType, SearchResponse from datahub.emitter.mce_builder import make_data_platform_urn from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph @@ -31,6 +24,8 @@ DataProductMetadata, TableMetadata, ) +from ...search_types import MultiSelectFilter, ResultType, SearchResponse +from ..base import BaseCatalogueClient, CatalogueError, ReferencedEntityMissing, logger from .search import SearchClient DATAHUB_DATA_TYPE_MAPPING = { @@ -325,10 +320,15 @@ def search( ResultType.DATA_PRODUCT, ResultType.TABLE, ), + filters: Sequence[MultiSelectFilter] = (), ) -> SearchResponse: """ Wraps the catalogue's search function. """ return self.search_client.search( - query=query, count=count, page=page, result_types=result_types + query=query, + count=count, + page=page, + result_types=result_types, + filters=filters, ) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql index 506ba0fb..18835f97 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -3,13 +3,45 @@ query Search( $count: Int! $start: Int! $types: [EntityType!] + $filters: [FacetFilterInput!] ) { searchAcrossEntities( - input: { types: $types, query: $query, start: $start, count: $count } + input: { + types: $types + query: $query + start: $start + count: $count + filters: $filters + } ) { start count total + facets { + field + displayName + aggregations { + value + count + entity { + ... on Domain { + properties { + name + } + } + ... on Tag { + properties { + name + } + } + ... on GlossaryTerm { + properties { + name + } + } + } + } + } searchResults { insights { text diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index fdbe4894..1c0ae129 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -2,15 +2,18 @@ import logging from datetime import datetime from importlib.resources import files -from typing import Any, Sequence +from typing import Any, Literal, Sequence -from data_platform_catalogue.search_types import ( +from datahub.configuration.common import GraphError +from datahub.ingestion.graph.client import DataHubGraph + +from ...search_types import ( + FacetOption, + MultiSelectFilter, ResultType, SearchResponse, SearchResult, ) -from datahub.configuration.common import GraphError -from datahub.ingestion.graph.client import DataHubGraph logger = logging.getLogger(__name__) @@ -33,6 +36,7 @@ def search( ResultType.DATA_PRODUCT, ResultType.TABLE, ), + filters: Sequence[MultiSelectFilter] = (), ) -> SearchResponse: """ Wraps the catalogue's search function. @@ -43,8 +47,15 @@ def search( start = int(page) types = self._map_result_types(result_types) + formatted_filters = self._map_filters(filters) - variables = {"count": count, "query": query, "start": start, "types": types} + variables = { + "count": count, + "query": query, + "start": start, + "types": types, + "filters": formatted_filters, + } try: response = self.graph.execute_graphql(self.search_query, variables) @@ -53,6 +64,7 @@ def search( page_results = [] response = response["searchAcrossEntities"] + facets = self._parse_facets(response.get("facets", [])) logger.debug(json.dumps(response, indent=2)) @@ -71,7 +83,7 @@ def search( raise ValueError(f"Unexpected entity type: {entity_type}") return SearchResponse( - total_results=response["total"], page_results=page_results + total_results=response["total"], page_results=page_results, facets=facets ) def _map_result_types(self, result_types: Sequence[ResultType]): @@ -85,6 +97,14 @@ def _map_result_types(self, result_types: Sequence[ResultType]): types.append("DATASET") return types + def _map_filters(self, filters: Sequence[MultiSelectFilter]): + result = [] + for filter in filters: + result.append( + {"field": filter.filter_name, "values": filter.included_values} + ) + return result + def _parse_owner(self, entity: dict[str, Any]): """ Parse ownership information, if it is set. @@ -180,3 +200,31 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: tags=tags, last_updated=last_updated, ) + + def _parse_facets( + self, facets: list[dict[str, Any]] + ) -> dict[ + Literal["domains", "tags", "customProperties", "glossaryTerms"], + list[FacetOption], + ]: + """ + Parse the facets and aggregate information from the query results + """ + results = {} + for facet in facets: + field = facet["field"] + if field not in ("domains", "tags", "customProperties", "glossaryTerms"): + continue + + options = [] + for aggregate in facet["aggregations"]: + value = aggregate["value"] + count = aggregate["count"] + entity = aggregate.get("entity") or {} + properties = entity.get("properties") or {} + label = properties.get("name", value) + options.append(FacetOption(value=value, label=label, count=count)) + + results[field] = options + + return results diff --git a/lib/datahub-client/data_platform_catalogue/client/openmetadata.py b/lib/datahub-client/data_platform_catalogue/client/openmetadata.py index 91ad4d46..989072dd 100644 --- a/lib/datahub-client/data_platform_catalogue/client/openmetadata.py +++ b/lib/datahub-client/data_platform_catalogue/client/openmetadata.py @@ -1,12 +1,6 @@ import json from http import HTTPStatus -from data_platform_catalogue.client.base import ( - BaseCatalogueClient, - CatalogueError, - ReferencedEntityMissing, - logger, -) from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest from metadata.generated.schema.api.data.createDatabaseSchema import ( CreateDatabaseSchemaRequest, @@ -40,6 +34,7 @@ DataProductMetadata, TableMetadata, ) +from .base import BaseCatalogueClient, CatalogueError, ReferencedEntityMissing, logger OMD_DATA_TYPE_MAPPING = { "boolean": OpenMetadataDataType.BOOLEAN, diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 3baf4b70..da9ca3ad 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -1,7 +1,7 @@ from dataclasses import dataclass, field from datetime import datetime from enum import Enum, auto -from typing import Any +from typing import Any, Literal class ResultType(Enum): @@ -9,6 +9,27 @@ class ResultType(Enum): TABLE = auto() +@dataclass +class MultiSelectFilter: + """ + Values to filter the result set by + """ + + filter_name: Literal["domains", "tags", "customProperties", "glossaryTerms"] + included_values: list[Any] + + +@dataclass +class FacetOption: + """ + A specific value that may be used to filter the search + """ + + value: str + label: str + count: int + + @dataclass class SearchResult: id: str @@ -25,3 +46,7 @@ class SearchResult: class SearchResponse: total_results: int page_results: list[SearchResult] + facets: dict[ + Literal["domains", "tags", "customProperties", "glossaryTerms"], + list[FacetOption], + ] = field(default_factory=dict) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index fb50e4b4..d7aa6a5a 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.6.0" +version = "0.7.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index d3c36dbd..acf00bdc 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -4,6 +4,8 @@ import pytest from data_platform_catalogue.client.datahub.search import SearchClient from data_platform_catalogue.search_types import ( + FacetOption, + MultiSelectFilter, ResultType, SearchResponse, SearchResult, @@ -307,3 +309,109 @@ def test_result_with_owner(mock_graph, searcher): ) ], ) + + +def test_filter(searcher, mock_graph): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 0, + "total": 0, + "searchResults": [], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search(filters=[MultiSelectFilter("domains", ["Abc", "Def"])]) + + assert response == SearchResponse( + total_results=0, + page_results=[], + ) + + +def test_facets(searcher, mock_graph): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 10, + "total": 10, + "searchResults": [], + "facets": [ + { + "field": "_entityType", + "displayName": "Type", + "aggregations": [ + {"value": "DATASET", "count": 1505, "entity": None} + ], + }, + { + "field": "glossaryTerms", + "displayName": "Glossary Term", + "aggregations": [ + { + "value": "urn:li:glossaryTerm:Classification.Sensitive", + "count": 1, + "entity": {"properties": {"name": "Sensitive"}}, + }, + { + "value": "urn:li:glossaryTerm:Silver", + "count": 1, + "entity": {"properties": None}, + }, + ], + }, + { + "field": "domains", + "displayName": "Domain", + "aggregations": [ + { + "value": "urn:li:domain:094dc54b-0ebc-40a6-a4cf-e1b75e8b8089", + "count": 7, + "entity": {"properties": {"name": "Pet Adoptions"}}, + }, + { + "value": "urn:li:domain:7186eeff-a860-4b0a-989f-69473a0c9c67", + "count": 4, + "entity": {"properties": {"name": "E-Commerce"}}, + }, + ], + }, + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + + assert response == SearchResponse( + total_results=10, + page_results=[], + facets={ + "glossaryTerms": [ + FacetOption( + value="urn:li:glossaryTerm:Classification.Sensitive", + label="Sensitive", + count=1, + ), + FacetOption( + value="urn:li:glossaryTerm:Silver", + label="urn:li:glossaryTerm:Silver", + count=1, + ), + ], + "domains": [ + FacetOption( + value="urn:li:domain:094dc54b-0ebc-40a6-a4cf-e1b75e8b8089", + label="Pet Adoptions", + count=7, + ), + FacetOption( + value="urn:li:domain:7186eeff-a860-4b0a-989f-69473a0c9c67", + label="E-Commerce", + count=4, + ), + ], + }, + ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 3ad1bbab..aa54791c 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -13,7 +13,7 @@ from data_platform_catalogue import DataProductMetadata, TableMetadata from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient from data_platform_catalogue.entities import DataLocation -from data_platform_catalogue.search_types import ResultType +from data_platform_catalogue.search_types import MultiSelectFilter, ResultType from datahub.metadata.schema_classes import DatasetPropertiesClass, SchemaMetadataClass jwt_token = os.environ.get("JWT_TOKEN") @@ -91,3 +91,36 @@ def test_search_for_data_product(): ) assert response.total_results >= 1 assert response.page_results[0].id == "urn:li:dataProduct:lfdskjflkjflkjsdflksfjds" + + +@runs_on_development_server +def test_search_by_domain(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + response = client.search( + filters=[MultiSelectFilter("domains", ["does-not-exist"])], + result_types=(ResultType.DATA_PRODUCT,), + ) + assert response.total_results == 0 + + +@runs_on_development_server +def test_domain_facets_are_returned(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + data_product = DataProductMetadata( + name="lfdskjflkjflkjsdflksfjds", + description="lfdskjflkjflkjsdflksfjds", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="Sample", + dpia_required=False, + ) + client.upsert_data_product(data_product) + + response = client.search() + assert response.facets["domains"] From 80ca8880aeeb1df39134c9e7d0c9736c3279030e Mon Sep 17 00:00:00 2001 From: Mat Date: Tue, 30 Jan 2024 12:09:53 +0000 Subject: [PATCH 17/64] [DP-3106] Enhance metadata returned with search results (#3124) * Remove restrictive filter type, and test urn example * Switch to non-deprecated syntax * Document possible filters * Add number_of_assets to data products metadata * Add data product to metadata of datasets --- lib/datahub-client/CHANGELOG.md | 13 +++ lib/datahub-client/README.md | 34 +++++++- .../client/datahub/graphql/search.graphql | 21 ++++- .../client/datahub/search.py | 17 ++-- .../data_platform_catalogue/search_types.py | 6 +- .../tests/test_datahub_search.py | 87 ++++++++++++++++++- .../test_integration_with_datahub_server.py | 70 ++++++++++++++- 7 files changed, 232 insertions(+), 16 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index a68d1609..8e20af5e 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,19 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.8.0] 2024-01-29 + +### Added + +Enhanced the metadata returned with search results: + +- Added `number_of_assets` to data product metadata +- Added `data_products` and `total_data_products` to dataset metadata + +### Changed + +- Replaced deprecated Datahub `filters` parameter with `orFilters` + ## [0.7.0] 2024-01-25 ### Added diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 4aeca66a..3f3c9d6b 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -86,10 +86,42 @@ for item in response.page_results: for option in response.facets['domains']: print(option) -# Filter by domain +# Include a filter client.search(filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])]) ``` +## Search filters + +### Datahub + +Basic filters: + +- urn +- customProperties +- browsePaths / browsePathsV2 +- deprecated (boolean) +- removed (boolean) +- typeNames +- name, qualifiedName +- description, hasDescription + +Timestamps: + +- lastOperationTime (datetime) +- createdAt (timestamp) +- lastModifiedAt (timestamp) + +URNs: + +- platform / platformInstance +- tags, hasTags +- glossaryTerms, hasGlossaryTerms +- domains, hasDomain +- siblings +- owners, hasOwners +- roles, hasRoles +- container + ## Catalogue Implementations ### DataHub diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql index 18835f97..c0c75dbd 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -11,7 +11,7 @@ query Search( query: $query start: $start count: $count - filters: $filters + orFilters: [{ and: $filters }] } ) { start @@ -58,6 +58,25 @@ query Search( platform { name } + relationships( + input: { + types: ["DataProductContains"] + direction: INCOMING + count: 10 + } + ) { + total + relationships { + entity { + urn + ... on DataProduct { + properties { + name + } + } + } + } + } ownership { owners { owner { diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 1c0ae129..d6cc66cd 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -2,7 +2,7 @@ import logging from datetime import datetime from importlib.resources import files -from typing import Any, Literal, Sequence +from typing import Any, Sequence from datahub.configuration.common import GraphError from datahub.ingestion.graph.client import DataHubGraph @@ -161,6 +161,13 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: tags = self._parse_tags(entity) last_updated = self._parse_last_updated(entity) name = entity["name"] + relationships = entity.get("relationships", {}) + total_data_products = relationships.get("total", 0) + data_products = relationships.get("relationships", []) + data_products = [ + {"id": i["entity"]["urn"], "name": i["entity"]["properties"]["name"]} + for i in data_products + ] return SearchResult( id=entity["urn"], @@ -171,6 +178,8 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: metadata={ "owner": owner_name, "owner_email": owner_email, + "total_data_products": total_data_products, + "data_products": data_products, }, tags=tags, last_updated=last_updated, @@ -196,6 +205,7 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: "owner": owner_name, "owner_email": owner_email, "domain": domain, + "number_of_assets": properties["numAssets"], }, tags=tags, last_updated=last_updated, @@ -203,10 +213,7 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: def _parse_facets( self, facets: list[dict[str, Any]] - ) -> dict[ - Literal["domains", "tags", "customProperties", "glossaryTerms"], - list[FacetOption], - ]: + ) -> dict[str, list[FacetOption],]: """ Parse the facets and aggregate information from the query results """ diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index da9ca3ad..1cf9fdef 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -1,7 +1,7 @@ from dataclasses import dataclass, field from datetime import datetime from enum import Enum, auto -from typing import Any, Literal +from typing import Any class ResultType(Enum): @@ -15,7 +15,7 @@ class MultiSelectFilter: Values to filter the result set by """ - filter_name: Literal["domains", "tags", "customProperties", "glossaryTerms"] + filter_name: str included_values: list[Any] @@ -47,6 +47,6 @@ class SearchResponse: total_results: int page_results: list[SearchResult] facets: dict[ - Literal["domains", "tags", "customProperties", "glossaryTerms"], + str, list[FacetOption], ] = field(default_factory=dict) diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index acf00bdc..fb602748 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -106,6 +106,7 @@ def test_one_search_result(mock_graph, searcher): }, "owner": "", "owner_email": "", + "number_of_assets": 7, }, tags=["custody"], ) @@ -176,7 +177,12 @@ def test_full_page(mock_graph, searcher): result_type=ResultType.TABLE, name="customers", description="", - metadata={"owner": "", "owner_email": ""}, + metadata={ + "owner": "", + "owner_email": "", + "data_products": [], + "total_data_products": 0, + }, tags=[], last_updated=datetime(2024, 1, 23, 6, 15, 2, 353000), ), @@ -186,7 +192,12 @@ def test_full_page(mock_graph, searcher): result_type=ResultType.TABLE, name="customers2", description="", - metadata={"owner": "", "owner_email": ""}, + metadata={ + "owner": "", + "owner_email": "", + "data_products": [], + "total_data_products": 0, + }, tags=[], last_updated=None, ), @@ -196,7 +207,12 @@ def test_full_page(mock_graph, searcher): result_type=ResultType.TABLE, name="customers3", description="", - metadata={"owner": "", "owner_email": ""}, + metadata={ + "owner": "", + "owner_email": "", + "data_products": [], + "total_data_products": 0, + }, tags=[], last_updated=None, ), @@ -248,7 +264,12 @@ def test_query_match(mock_graph, searcher): result_type=ResultType.TABLE, name="customers", description="", - metadata={"owner": "", "owner_email": ""}, + metadata={ + "owner": "", + "owner_email": "", + "data_products": [], + "total_data_products": 0, + }, tags=[], ) ], @@ -304,6 +325,8 @@ def test_result_with_owner(mock_graph, searcher): metadata={ "owner": "Shannon Lovett", "owner_email": "shannon@longtail.com", + "data_products": [], + "total_data_products": 0, }, tags=[], ) @@ -415,3 +438,59 @@ def test_facets(searcher, mock_graph): ], }, ) + + +def test_result_with_data_product(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "name": "calm-pagoda-323403.jaffle_shop.customers", + "relationships": { + "total": 1, + "relationships": [ + { + "entity": { + "urn": "urn:abc", + "properties": {"name": "abc"}, + } + } + ], + }, + "properties": { + "name": "customers", + }, + }, + } + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers", + description="", + metadata={ + "owner": "", + "owner_email": "", + "data_products": [{"id": "urn:abc", "name": "abc"}], + "total_data_products": 1, + }, + tags=[], + ) + ], + ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index aa54791c..f6fda7d1 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -83,6 +83,7 @@ def test_search_for_data_product(): retention_period_in_days=365, domain="Sample", dpia_required=False, + tags=["test"], ) client.upsert_data_product(data_product) @@ -108,8 +109,6 @@ def test_search_by_domain(): def test_domain_facets_are_returned(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - data_product = DataProductMetadata( name="lfdskjflkjflkjsdflksfjds", description="lfdskjflkjflkjsdflksfjds", @@ -119,8 +118,75 @@ def test_domain_facets_are_returned(): retention_period_in_days=365, domain="Sample", dpia_required=False, + tags=["test"], ) client.upsert_data_product(data_product) response = client.search() assert response.facets["domains"] + + +@runs_on_development_server +def test_filter_by_urn(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + data_product = DataProductMetadata( + name="lfdskjflkjflkjsdflksfjds", + description="lfdskjflkjflkjsdflksfjds", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="Sample", + dpia_required=False, + tags=["test"], + ) + urn = client.upsert_data_product(data_product) + + response = client.search( + filters=[MultiSelectFilter(filter_name="urn", included_values=[urn])] + ) + assert response.total_results == 1 + + +@runs_on_development_server +def test_fetch_dataset_belonging_to_data_product(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + data_product = DataProductMetadata( + name="test_data_product", + description="bla bla", + version="v1.0.0", + owner="7804c127-d677-4900-82f9-83517e51bb94", + email="justice@justice.gov.uk", + retention_period_in_days=365, + domain="Sample", + dpia_required=False, + ) + + table = TableMetadata( + name="test_table", + description="bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days=365, + tags=["test"], + ) + + urn = client.upsert_table( + metadata=table, + data_product_metadata=data_product, + location=DataLocation("test_data_product_v2"), + ) + + response = client.search( + filters=[MultiSelectFilter(filter_name="urn", included_values=[urn])] + ) + + assert response.total_results == 1 + + metadata = response.page_results[0].metadata + assert metadata["total_data_products"] == 1 + assert metadata["data_products"][0]["name"] == "test_data_product" From 86a818de7fadf33953030e1bec1ac88c0ee58e54 Mon Sep 17 00:00:00 2001 From: Mat Date: Tue, 30 Jan 2024 14:02:25 +0000 Subject: [PATCH 18/64] [DP-3106] Add a way to fetch lists of domains and other search facets (#3129) Add functionality for rendering search facets E.g. the domain multi-select --- lib/datahub-client/CHANGELOG.md | 2 + lib/datahub-client/README.md | 6 +- .../data_platform_catalogue/client/base.py | 16 ++- .../client/datahub/datahub_client.py | 18 ++- .../client/datahub/graphql/facets.graphql | 41 +++++++ .../client/datahub/search.py | 39 ++++++- .../data_platform_catalogue/search_types.py | 34 +++++- lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 106 ++++++++++++++++-- .../test_integration_with_datahub_server.py | 2 +- 10 files changed, 240 insertions(+), 26 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/facets.graphql diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 8e20af5e..862b6e2c 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -15,6 +15,8 @@ Enhanced the metadata returned with search results: - Added `number_of_assets` to data product metadata - Added `data_products` and `total_data_products` to dataset metadata +- Added separate search_facets method +- Added `SearchFacets`` class to make it easier to present facets ### Changed diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 3f3c9d6b..d8366bd6 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -83,8 +83,10 @@ for item in response.page_results: print(item) # Iterate over facet options -for option in response.facets['domains']: - print(option) +for option in response.facets.options('domains'): + print(option.label) + print(option.value) + print(option.count) # Include a filter client.search(filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])]) diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 8f02d228..e8a56ebd 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -8,7 +8,7 @@ DataProductMetadata, TableMetadata, ) -from ..search_types import MultiSelectFilter, ResultType, SearchResponse +from ..search_types import MultiSelectFilter, ResultType, SearchFacets, SearchResponse logger = logging.getLogger(__name__) @@ -72,5 +72,19 @@ def search( """ raise NotImplementedError + def search_facets( + self, + query: str = "*", + result_types: Sequence[ResultType] = ( + ResultType.DATA_PRODUCT, + ResultType.TABLE, + ), + filters: Sequence[MultiSelectFilter] = (), + ) -> SearchFacets: + """ + Returns facets that can be used to filter the search results. + """ + raise NotImplementedError + def list_data_products(self) -> SearchResponse: return self.search(count=500, result_types=[ResultType.DATA_PRODUCT]) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index e7402e92..c28e86a9 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -24,7 +24,7 @@ DataProductMetadata, TableMetadata, ) -from ...search_types import MultiSelectFilter, ResultType, SearchResponse +from ...search_types import MultiSelectFilter, ResultType, SearchFacets, SearchResponse from ..base import BaseCatalogueClient, CatalogueError, ReferencedEntityMissing, logger from .search import SearchClient @@ -332,3 +332,19 @@ def search( result_types=result_types, filters=filters, ) + + def search_facets( + self, + query: str = "*", + result_types: Sequence[ResultType] = ( + ResultType.DATA_PRODUCT, + ResultType.TABLE, + ), + filters: Sequence[MultiSelectFilter] = (), + ) -> SearchFacets: + """ + Returns facets that can be used to filter the search results. + """ + return self.search_client.search_facets( + query=query, result_types=result_types, filters=filters + ) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/facets.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/facets.graphql new file mode 100644 index 00000000..e9fa78eb --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/facets.graphql @@ -0,0 +1,41 @@ +query Facets( + $query: String! + $facets: [String!] + $types: [EntityType!] + $filters: [FacetFilterInput!] +) { + aggregateAcrossEntities( + input: { + types: $types + query: $query + facets: $facets + orFilters: [{ and: $filters }] + } + ) { + facets { + field + displayName + aggregations { + value + count + entity { + ... on Domain { + properties { + name + } + } + ... on Tag { + properties { + name + } + } + ... on GlossaryTerm { + properties { + name + } + } + } + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index d6cc66cd..9fc6c95d 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -11,6 +11,7 @@ FacetOption, MultiSelectFilter, ResultType, + SearchFacets, SearchResponse, SearchResult, ) @@ -60,7 +61,7 @@ def search( try: response = self.graph.execute_graphql(self.search_query, variables) except GraphError as e: - raise Exception("Unable to execute search") from e + raise Exception("Unable to execute search query") from e page_results = [] response = response["searchAcrossEntities"] @@ -86,6 +87,36 @@ def search( total_results=response["total"], page_results=page_results, facets=facets ) + def search_facets( + self, + query: str = "*", + result_types: Sequence[ResultType] = ( + ResultType.DATA_PRODUCT, + ResultType.TABLE, + ), + filters: Sequence[MultiSelectFilter] = (), + ) -> SearchFacets: + """ + Returns facets that can be used to filter the search results. + """ + types = self._map_result_types(result_types) + formatted_filters = self._map_filters(filters) + + variables = { + "query": query, + "facets": [], + "types": types, + "filters": formatted_filters, + } + + try: + response = self.graph.execute_graphql(self.search_query, variables) + except GraphError as e: + raise Exception("Unable to execute facets query") from e + + response = response["aggregateAcrossEntities"] + return self._parse_facets(response.get("facets", [])) + def _map_result_types(self, result_types: Sequence[ResultType]): """ Map result types to Datahub EntityTypes @@ -211,9 +242,7 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: last_updated=last_updated, ) - def _parse_facets( - self, facets: list[dict[str, Any]] - ) -> dict[str, list[FacetOption],]: + def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: """ Parse the facets and aggregate information from the query results """ @@ -234,4 +263,4 @@ def _parse_facets( results[field] = options - return results + return SearchFacets(results) diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 1cf9fdef..23c24997 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -42,11 +42,37 @@ class SearchResult: last_updated: datetime | None = None +@dataclass +class SearchFacets: + facets: dict[str, list[FacetOption]] = field(default_factory=dict) + + def options(self, field_name) -> list[FacetOption]: + """ + Return a list of FacetOptions to display in a search facet. + Each option includes label, value and count. + Returns an empty list if there are no options to display. + """ + return self.facets.get(field_name, []) + + def labels(self, field_name) -> list[str]: + """ + Return a list of labels to display in a search facet. + """ + return [f.label for f in self.options(field_name)] + + def lookup_label(self, field_name, label) -> FacetOption | None: + """ + Return the FacetOption matching a particular label. + """ + options = self.options(field_name) + for option in options: + if option.label == label: + return option + return None + + @dataclass class SearchResponse: total_results: int page_results: list[SearchResult] - facets: dict[ - str, - list[FacetOption], - ] = field(default_factory=dict) + facets: SearchFacets = field(default_factory=SearchFacets) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index d7aa6a5a..c8fcdd68 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.7.0" +version = "0.8.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index fb602748..08ba95c1 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -7,6 +7,7 @@ FacetOption, MultiSelectFilter, ResultType, + SearchFacets, SearchResponse, SearchResult, ) @@ -355,11 +356,7 @@ def test_filter(searcher, mock_graph): def test_facets(searcher, mock_graph): datahub_response = { - "searchAcrossEntities": { - "start": 0, - "count": 10, - "total": 10, - "searchResults": [], + "aggregateAcrossEntities": { "facets": [ { "field": "_entityType", @@ -406,12 +403,10 @@ def test_facets(searcher, mock_graph): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) - response = searcher.search() + response = searcher.search_facets() - assert response == SearchResponse( - total_results=10, - page_results=[], - facets={ + assert response == SearchFacets( + { "glossaryTerms": [ FacetOption( value="urn:li:glossaryTerm:Classification.Sensitive", @@ -436,7 +431,96 @@ def test_facets(searcher, mock_graph): count=4, ), ], - }, + } + ) + + +def test_search_results_with_facets(searcher, mock_graph): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 10, + "total": 10, + "searchResults": [], + "facets": [ + { + "field": "_entityType", + "displayName": "Type", + "aggregations": [ + {"value": "DATASET", "count": 1505, "entity": None} + ], + }, + { + "field": "glossaryTerms", + "displayName": "Glossary Term", + "aggregations": [ + { + "value": "urn:li:glossaryTerm:Classification.Sensitive", + "count": 1, + "entity": {"properties": {"name": "Sensitive"}}, + }, + { + "value": "urn:li:glossaryTerm:Silver", + "count": 1, + "entity": {"properties": None}, + }, + ], + }, + { + "field": "domains", + "displayName": "Domain", + "aggregations": [ + { + "value": "urn:li:domain:094dc54b-0ebc-40a6-a4cf-e1b75e8b8089", + "count": 7, + "entity": {"properties": {"name": "Pet Adoptions"}}, + }, + { + "value": "urn:li:domain:7186eeff-a860-4b0a-989f-69473a0c9c67", + "count": 4, + "entity": {"properties": {"name": "E-Commerce"}}, + }, + ], + }, + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + + assert response == SearchResponse( + total_results=10, + page_results=[], + facets=SearchFacets( + { + "glossaryTerms": [ + FacetOption( + value="urn:li:glossaryTerm:Classification.Sensitive", + label="Sensitive", + count=1, + ), + FacetOption( + value="urn:li:glossaryTerm:Silver", + label="urn:li:glossaryTerm:Silver", + count=1, + ), + ], + "domains": [ + FacetOption( + value="urn:li:domain:094dc54b-0ebc-40a6-a4cf-e1b75e8b8089", + label="Pet Adoptions", + count=7, + ), + FacetOption( + value="urn:li:domain:7186eeff-a860-4b0a-989f-69473a0c9c67", + label="E-Commerce", + count=4, + ), + ], + } + ), ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index f6fda7d1..3fe14ee7 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -123,7 +123,7 @@ def test_domain_facets_are_returned(): client.upsert_data_product(data_product) response = client.search() - assert response.facets["domains"] + assert response.facets.options("domains") @runs_on_development_server From 84b72800ed4ee30fe60bb236e6ebb260d7b93185 Mon Sep 17 00:00:00 2001 From: Mat Date: Tue, 30 Jan 2024 14:25:10 +0000 Subject: [PATCH 19/64] Fix bug with facets query (#3133) --- .../data_platform_catalogue/client/datahub/search.py | 7 ++++++- lib/datahub-client/pyproject.toml | 2 +- .../tests/test_integration_with_datahub_server.py | 1 + 3 files changed, 8 insertions(+), 2 deletions(-) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 9fc6c95d..815975a1 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -27,6 +27,11 @@ def __init__(self, graph: DataHubGraph): .joinpath("search.graphql") .read_text() ) + self.facets_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("facets.graphql") + .read_text() + ) def search( self, @@ -110,7 +115,7 @@ def search_facets( } try: - response = self.graph.execute_graphql(self.search_query, variables) + response = self.graph.execute_graphql(self.facets_query, variables) except GraphError as e: raise Exception("Unable to execute facets query") from e diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index c8fcdd68..24a6676f 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.8.0" +version = "0.8.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 3fe14ee7..6011fda3 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -124,6 +124,7 @@ def test_domain_facets_are_returned(): response = client.search() assert response.facets.options("domains") + assert client.search_facets().options("domains") @runs_on_development_server From e451a00203cc75a6228bf802812d05eb9b206ee9 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Wed, 31 Jan 2024 14:27:06 +0000 Subject: [PATCH 20/64] Dp 3127 add sorting in search (#3142) * Added the ability to sort graphQL queries * Added sort parameter to base client class * Added tests for sort parameter * Allowed NoneType for sort parameter * Corrections for linter * Satisfied black * Add method SortOption.format() and it's test * Chnaged indentation * Added whitespace for linter --- lib/datahub-client/CHANGELOG.md | 9 +++++++++ lib/datahub-client/README.md | 7 +++++-- .../data_platform_catalogue/client/base.py | 9 ++++++++- .../client/datahub/datahub_client.py | 10 +++++++++- .../client/datahub/graphql/search.graphql | 2 ++ .../client/datahub/search.py | 5 +++++ .../data_platform_catalogue/search_types.py | 16 +++++++++++++++ lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 20 +++++++++++++++++++ lib/datahub-client/tests/test_search_types.py | 13 ++++++++++++ 10 files changed, 88 insertions(+), 5 deletions(-) create mode 100644 lib/datahub-client/tests/test_search_types.py diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 862b6e2c..1b88eb29 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,15 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.9.0] 2024-01-31 + +### Added + +Added the ability to sort search results + +- Added class `SortOption` to allow sorting of search results +- Added parameter `sort` to `SearchClient.search()` + ## [0.8.0] 2024-01-29 ### Added diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index d8366bd6..3a2f60dc 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -88,8 +88,11 @@ for option in response.facets.options('domains'): print(option.value) print(option.count) -# Include a filter -client.search(filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])]) +# Include a filter and sort +client.search( + filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])], + sort=SortOption(field="name", ascending=False) +) ``` ## Search filters diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index e8a56ebd..5ec19358 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -8,7 +8,13 @@ DataProductMetadata, TableMetadata, ) -from ..search_types import MultiSelectFilter, ResultType, SearchFacets, SearchResponse +from ..search_types import ( + MultiSelectFilter, + ResultType, + SearchFacets, + SearchResponse, + SortOption, +) logger = logging.getLogger(__name__) @@ -66,6 +72,7 @@ def search( ResultType.TABLE, ), filters: Sequence[MultiSelectFilter] = (), + sort: SortOption | None = None, ) -> SearchResponse: """ Wraps the catalogue's search function. diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index c28e86a9..659fc0b7 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -24,7 +24,13 @@ DataProductMetadata, TableMetadata, ) -from ...search_types import MultiSelectFilter, ResultType, SearchFacets, SearchResponse +from ...search_types import ( + MultiSelectFilter, + ResultType, + SearchFacets, + SearchResponse, + SortOption, +) from ..base import BaseCatalogueClient, CatalogueError, ReferencedEntityMissing, logger from .search import SearchClient @@ -321,6 +327,7 @@ def search( ResultType.TABLE, ), filters: Sequence[MultiSelectFilter] = (), + sort: SortOption | None = None, ) -> SearchResponse: """ Wraps the catalogue's search function. @@ -331,6 +338,7 @@ def search( page=page, result_types=result_types, filters=filters, + sort=sort, ) def search_facets( diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql index c0c75dbd..737d6695 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -4,6 +4,7 @@ query Search( $start: Int! $types: [EntityType!] $filters: [FacetFilterInput!] + $sort: SearchSortInput ) { searchAcrossEntities( input: { @@ -12,6 +13,7 @@ query Search( start: $start count: $count orFilters: [{ and: $filters }] + sortInput: $sort } ) { start diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 815975a1..6f98f1f5 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -14,6 +14,7 @@ SearchFacets, SearchResponse, SearchResult, + SortOption, ) logger = logging.getLogger(__name__) @@ -43,6 +44,7 @@ def search( ResultType.TABLE, ), filters: Sequence[MultiSelectFilter] = (), + sort: SortOption | None = None, ) -> SearchResponse: """ Wraps the catalogue's search function. @@ -63,6 +65,9 @@ def search( "filters": formatted_filters, } + if sort: + variables.update({"sort": sort.format()}) + try: response = self.graph.execute_graphql(self.search_query, variables) except GraphError as e: diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 23c24997..706262a4 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -19,6 +19,22 @@ class MultiSelectFilter: included_values: list[Any] +@dataclass +class SortOption: + """Set the search result sorting.""" + + field: str + ascending: bool = True + + def format(self): + return { + "sortCriterion": { + "field": self.field, + "sortOrder": "ASCENDING" if self.ascending else "DESCENDING", + } + } + + @dataclass class FacetOption: """ diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 24a6676f..08a4a871 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.8.1" +version = "0.9.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index 08ba95c1..214093f5 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -10,6 +10,7 @@ SearchFacets, SearchResponse, SearchResult, + SortOption, ) @@ -354,6 +355,25 @@ def test_filter(searcher, mock_graph): ) +def test_sort(searcher, mock_graph): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 0, + "total": 0, + "searchResults": [], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search(sort=SortOption(field="name", ascending=False)) + + assert response == SearchResponse( + total_results=0, + page_results=[], + ) + + def test_facets(searcher, mock_graph): datahub_response = { "aggregateAcrossEntities": { diff --git a/lib/datahub-client/tests/test_search_types.py b/lib/datahub-client/tests/test_search_types.py new file mode 100644 index 00000000..bc3f5fb8 --- /dev/null +++ b/lib/datahub-client/tests/test_search_types.py @@ -0,0 +1,13 @@ +from data_platform_catalogue.search_types import SortOption + + +def test_format_sort_option(): + expected = { + "sortCriterion": { + "field": "test", + "sortOrder": "DESCENDING", + } + } + result = SortOption(field="test", ascending=False) + + assert result.format() == expected From 1c5af563c52541f4404d83fa2076322141ccf37d Mon Sep 17 00:00:00 2001 From: Mat Date: Thu, 1 Feb 2024 13:00:11 +0000 Subject: [PATCH 21/64] Add missing domain metadata to dataset search results, and add all available custom properties (#3134) * Add domain information for datasets. Previously datasets were not returning domain information. This adds that back in and parses out the ID and name. * lint * Add custom properties to search result metadata --- lib/datahub-client/CHANGELOG.md | 8 ++ .../client/datahub/search.py | 58 ++++++++---- lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 94 +++++++++++++++++-- 4 files changed, 135 insertions(+), 27 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 1b88eb29..a3fab307 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,14 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.10.0] 2024-02-01 + +### Changed + +- Custom properties are now added to the metadata of each search result +- Datasets return domain information +- Domain information is now returned as `domain_id` and `domain_name` metadata + ## [0.9.0] 2024-01-31 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 6f98f1f5..4fbfceb5 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -2,7 +2,7 @@ import logging from datetime import datetime from importlib.resources import files -from typing import Any, Sequence +from typing import Any, Sequence, Tuple from datahub.configuration.common import GraphError from datahub.ingestion.graph.client import DataHubGraph @@ -184,21 +184,38 @@ def _parse_tags(self, entity: dict[str, Any]) -> list[str]: tags.append(properties["name"]) return tags - def _parse_properties(self, entity: dict[str, Any]) -> dict[str, Any]: + def _parse_properties( + self, entity: dict[str, Any] + ) -> Tuple[dict[str, Any], dict[str, Any]]: """ Parse properties and editableProperties into a single dictionary. """ properties = entity["properties"] or {} editable_properties = entity.get("editableProperties") or {} properties.update(editable_properties) - return properties + custom_properties = { + i["key"]: i["value"] for i in properties.get("customProperties", []) + } + return properties, custom_properties + + def _parse_domain(self, entity: dict[str, Any]): + metadata = {} + domain = entity.get("domain") or {} + inner_domain = domain.get("domain") or {} + metadata["domain_id"] = inner_domain.get("urn", "") + if inner_domain: + domain_properties, _ = self._parse_properties(inner_domain) + metadata["domain_name"] = domain_properties.get("name", "") + else: + metadata["domain_name"] = "" + return metadata def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: """ Map a dataset entity to a SearchResult """ owner_email, owner_name = self._parse_owner(entity) - properties = self._parse_properties(entity) + properties, custom_properties = self._parse_properties(entity) tags = self._parse_tags(entity) last_updated = self._parse_last_updated(entity) name = entity["name"] @@ -210,18 +227,22 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: for i in data_products ] + metadata = { + "owner": owner_name, + "owner_email": owner_email, + "total_data_products": total_data_products, + "data_products": data_products, + } + metadata.update(self._parse_domain(entity)) + metadata.update(custom_properties) + return SearchResult( id=entity["urn"], result_type=ResultType.TABLE, matches=matches, name=properties.get("name", name), description=properties.get("description", ""), - metadata={ - "owner": owner_name, - "owner_email": owner_email, - "total_data_products": total_data_products, - "data_products": data_products, - }, + metadata=metadata, tags=tags, last_updated=last_updated, ) @@ -230,11 +251,17 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: """ Map a data product entity to a SearchResult """ - domain = entity["domain"]["domain"] owner_email, owner_name = self._parse_owner(entity) - properties = self._parse_properties(entity) + properties, custom_properties = self._parse_properties(entity) tags = self._parse_tags(entity) last_updated = self._parse_last_updated(entity) + metadata = { + "owner": owner_name, + "owner_email": owner_email, + "number_of_assets": properties["numAssets"], + } + metadata.update(self._parse_domain(entity)) + metadata.update(custom_properties) return SearchResult( id=entity["urn"], @@ -242,12 +269,7 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: matches=matches, name=properties["name"], description=properties.get("description", ""), - metadata={ - "owner": owner_name, - "owner_email": owner_email, - "domain": domain, - "number_of_assets": properties["numAssets"], - }, + metadata=metadata, tags=tags, last_updated=last_updated, ) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 08a4a871..08c3b2a5 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.9.0" +version = "0.10.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index 214093f5..8d4cc308 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -98,14 +98,8 @@ def test_one_search_result(mock_graph, searcher): name="Use of force", description="Prisons in England and Wales are required to record all instances of Use of Force within their establishment. Use of Force can be planned or unplanned and may involve various categories of control and restraint (C&R) techniques such as physical restraint or handcuffs.\n\nPlease refer to [PSO 1600](https://www.gov.uk/government/publications/use-of-force-in-prisons-pso-1600) for the current guidance.", # noqa E501 metadata={ - "domain": { - "id": "3dc18e48-c062-4407-84a9-73e23f768023", - "properties": { - "name": "HMPPS", - "description": "HMPPS is an executive agency that carries out sentences given by the courts, in custody and the community, and rehabilitates people through education and employment.", # noqa E501 - }, - "urn": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", - }, + "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", + "domain_name": "HMPPS", "owner": "", "owner_email": "", "number_of_assets": 7, @@ -116,6 +110,78 @@ def test_one_search_result(mock_graph, searcher): ) +def test_dataset_result(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "insights": [], + "matchedFields": [], + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "platform": {"name": "bigquery"}, + "ownership": None, + "name": "calm-pagoda-323403.jaffle_shop.customers", + "properties": { + "name": "customers", + "customProperties": [ + {"key": "StoredAsSubDirectories", "value": "False"}, + { + "key": "CreatedByJob", + "value": "moj-reg-prod-hmpps-assess-risks-and-needs-prod-glue-job", + }, + ], + }, + "domain": { + "domain": { + "urn": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", + "id": "3dc18e48-c062-4407-84a9-73e23f768023", + "properties": { + "name": "HMPPS", + "description": "HMPPS is an executive agency that ...", + }, + }, + "editableProperties": None, + "tags": None, + "lastIngested": 1705990502353, + }, + }, + } + ], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers", + description="", + metadata={ + "owner": "", + "owner_email": "", + "data_products": [], + "total_data_products": 0, + "domain_name": "HMPPS", + "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", + "StoredAsSubDirectories": "False", + "CreatedByJob": "moj-reg-prod-hmpps-assess-risks-and-needs-prod-glue-job", + }, + tags=[], + ), + ], + ) + + def test_full_page(mock_graph, searcher): datahub_response = { "searchAcrossEntities": { @@ -184,6 +250,8 @@ def test_full_page(mock_graph, searcher): "owner_email": "", "data_products": [], "total_data_products": 0, + "domain_name": "", + "domain_id": "", }, tags=[], last_updated=datetime(2024, 1, 23, 6, 15, 2, 353000), @@ -199,6 +267,8 @@ def test_full_page(mock_graph, searcher): "owner_email": "", "data_products": [], "total_data_products": 0, + "domain_name": "", + "domain_id": "", }, tags=[], last_updated=None, @@ -214,6 +284,8 @@ def test_full_page(mock_graph, searcher): "owner_email": "", "data_products": [], "total_data_products": 0, + "domain_name": "", + "domain_id": "", }, tags=[], last_updated=None, @@ -271,6 +343,8 @@ def test_query_match(mock_graph, searcher): "owner_email": "", "data_products": [], "total_data_products": 0, + "domain_id": "", + "domain_name": "", }, tags=[], ) @@ -329,6 +403,8 @@ def test_result_with_owner(mock_graph, searcher): "owner_email": "shannon@longtail.com", "data_products": [], "total_data_products": 0, + "domain_id": "", + "domain_name": "", }, tags=[], ) @@ -593,6 +669,8 @@ def test_result_with_data_product(mock_graph, searcher): "owner_email": "", "data_products": [{"id": "urn:abc", "name": "abc"}], "total_data_products": 1, + "domain_id": "", + "domain_name": "", }, tags=[], ) From d20f15cbb0bb1437606dc91e6cd28e63bae1f9a0 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Tue, 6 Feb 2024 16:26:41 +0000 Subject: [PATCH 22/64] Dp-3048-add-metadata-items (#3206) * Added additional metadata fields --- lib/datahub-client/CHANGELOG.md | 7 ++ .../client/datahub/datahub_client.py | 7 +- .../data_platform_catalogue/entities.py | 44 ++++++++++ lib/datahub-client/pyproject.toml | 2 +- .../tests/snapshots/datahub_create_table.json | 9 +- .../datahub_create_table_with_metadata.json | 19 ++++- ...tahub_create_two_tables_with_metadata.json | 43 +++++----- .../tests/test_client_datahub.py | 16 ++++ .../tests/test_client_openmetadata.py | 13 +++ lib/datahub-client/tests/test_entities.py | 31 ++++++- .../test_integration_with_datahub_server.py | 85 ++++++++++++++----- ...st_integration_with_openmetadata_server.py | 31 +++++-- 12 files changed, 252 insertions(+), 55 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index a3fab307..4a9f01c7 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,13 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.11.0] 2024-02-05 + +### Changed + +- Added data product level and table level metadata items +- Added metadata items to the datahub client + ## [0.10.0] 2024-02-01 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 659fc0b7..11d0051d 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -229,7 +229,12 @@ def upsert_table( dataset_properties = DatasetPropertiesClass( description=metadata.description, - # customProperties={"dpia_required": "yes"}, + customProperties={ + "sourceDatasetName": metadata.source_dataset_name, + "sourceDatasetLocation": metadata.source_dataset_location, + "sensitivityLevel": metadata.data_sensitivity_level, + "rowCount": "1177", + }, ) metadata_event = MetadataChangeProposalWrapper( diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index a758f3d2..a55c81c3 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -1,6 +1,10 @@ from dataclasses import dataclass, field +from datetime import datetime +from enum import Enum, auto from typing import Any +DATAHUB_DATE_FORMAT = "%Y%m%d" + @dataclass class CatalogueMetadata: @@ -22,16 +26,30 @@ class DataLocation: platform_id: str = "glue" +class DataProductStatus(Enum): + DRAFT = auto() + PUBLISHED = auto() + RETIRED = auto() + + @dataclass class DataProductMetadata: name: str description: str version: str owner: str + owner_display_name: str + maintainer: str | None + maintainer_display_name: str | None email: str retention_period_in_days: int domain: str dpia_required: bool + dpia_location: str | None + last_updated: datetime + creation_date: datetime + s3_location: str | None + status: DataProductStatus = DataProductStatus.DRAFT tags: list[str] = field(default_factory=list) @staticmethod @@ -50,22 +68,43 @@ def from_data_product_metadata_dict(metadata: dict, version, owner_id: str): description=metadata["description"], version=version, owner=owner_id, + owner_display_name=metadata["dataProductOwnerDisplayName"], + maintainer=metadata.get("dataProductMaintainer"), + maintainer_display_name=metadata.get("dataProductMaintainerDisplayName"), email=metadata["email"], + status=DataProductStatus[metadata["status"]], retention_period_in_days=metadata["retentionPeriod"], domain=metadata["domain"], dpia_required=metadata["dpiaRequired"], + dpia_location=metadata.get("dpiaLocation"), + last_updated=datetime.strptime( + metadata["lastUpdated"], DATAHUB_DATE_FORMAT + ), + creation_date=datetime.strptime( + metadata["creationDate"], DATAHUB_DATE_FORMAT + ), + s3_location=metadata.get("s3Location"), tags=metadata.get("tags", []), ) return new_metadata +class SecurityClassification(Enum): + OFFICIAL = auto() + SECRET = auto() + TOP_SECRET = auto() + + @dataclass class TableMetadata: name: str description: str column_details: list retention_period_in_days: int | None + source_dataset_name: str | None = None + source_dataset_location: str | None = None + data_sensitivity_level: SecurityClassification = SecurityClassification["OFFICIAL"] tags: list[str] = field(default_factory=list) major_version: int = 1 @@ -88,6 +127,11 @@ def from_data_product_schema_dict( description=metadata["tableDescription"], column_details=metadata["columns"], retention_period_in_days=retention_period, + source_dataset_name=metadata.get("sourceDatasetName"), + source_dataset_location=metadata.get("sourceDatasetLocation"), + data_sensitivity_level=SecurityClassification[ + metadata.get("securityClassification", "OFFICIAL") + ], tags=metadata.get("tags", []), ) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 08c3b2a5..a855ef7c 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.10.0" +version = "0.11.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json index 08236691..da0c017d 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table.json @@ -6,7 +6,12 @@ "aspectName": "datasetProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "sourceDatasetName": "my_source_table", + "sourceDatasetLocation": "s3://databucket/table1", + "sensitivityLevel": "TOP SECRET", + "rowCount": "1177" + }, "description": "bla bla", "tags": [] } @@ -67,4 +72,4 @@ } } } -] +] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json index d6d2bd5f..6af7728f 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -6,7 +6,12 @@ "aspectName": "datasetProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "sourceDatasetName": "my_source_table", + "sourceDatasetLocation": "s3://databucket/table1", + "sensitivityLevel": "TOP SECRET", + "rowCount": "1177" + }, "description": "bla bla", "tags": [] } @@ -100,9 +105,17 @@ "aspect": { "json": { "customProperties": { + "owner_display_name": "April Gonzalez", + "maintainer": "j.shelvey@digital.justice.gov.uk", + "maintainer_display_name": "Jonjo Shelvey", "email": "justice@justice.gov.uk", "retention_period_in_days": "365", - "dpia_required": "False" + "dpia_required": "False", + "dpia_location": "None", + "last_updated": "2020-05-17 00:00:00", + "creation_date": "2020-05-17 00:00:00", + "s3_location": "s3://databucket/", + "status": "DataProductStatus.DRAFT" }, "name": "my_data_product", "description": "bla bla" @@ -126,4 +139,4 @@ } } } -] +] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json index 4d424eef..49b8eaa0 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -6,7 +6,12 @@ "aspectName": "datasetProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "sourceDatasetName": "my_source_table", + "sourceDatasetLocation": "s3://databucket/table1", + "sensitivityLevel": "TOP SECRET", + "rowCount": "1177" + }, "description": "bla bla", "tags": [] } @@ -100,9 +105,17 @@ "aspect": { "json": { "customProperties": { + "owner_display_name": "April Gonzalez", + "maintainer": "j.shelvey@digital.justice.gov.uk", + "maintainer_display_name": "Jonjo Shelvey", "email": "justice@justice.gov.uk", "retention_period_in_days": "365", - "dpia_required": "False" + "dpia_required": "False", + "dpia_location": "None", + "last_updated": "2020-05-17 00:00:00", + "creation_date": "2020-05-17 00:00:00", + "s3_location": "s3://databucket/", + "status": "DataProductStatus.DRAFT" }, "name": "my_data_product", "description": "bla bla" @@ -133,7 +146,12 @@ "aspectName": "datasetProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "sourceDatasetName": "my_source_table", + "sourceDatasetLocation": "s3://databucket/table2", + "sensitivityLevel": "OFFICIAL", + "rowCount": "1177" + }, "description": "this is a different table", "tags": [] } @@ -219,23 +237,6 @@ } } }, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "email": "justice@justice.gov.uk", - "retention_period_in_days": "365", - "dpia_required": "False" - }, - "name": "my_data_product", - "description": "bla bla" - } - } -}, { "entityType": "dataproduct", "entityUrn": "urn:li:dataProduct:my_data_product", @@ -253,4 +254,4 @@ } } } -] +] \ No newline at end of file diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/test_client_datahub.py index c56fe4be..2c984ccd 100644 --- a/lib/datahub-client/tests/test_client_datahub.py +++ b/lib/datahub-client/tests/test_client_datahub.py @@ -1,3 +1,4 @@ +from datetime import datetime from pathlib import Path import pytest @@ -6,6 +7,7 @@ CatalogueMetadata, DataLocation, DataProductMetadata, + DataProductStatus, TableMetadata, ) @@ -32,10 +34,18 @@ def data_product(self): description="bla bla", version="v1.0.0", owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", tags=["test"], ) @@ -49,6 +59,9 @@ def table(self): {"name": "bar", "type": "int", "description": "b"}, ], retention_period_in_days=365, + source_dataset_name="my_source_table", + source_dataset_location="s3://databucket/table1", + data_sensitivity_level="TOP SECRET", ) @pytest.fixture @@ -61,6 +74,9 @@ def table2(self): {"name": "yar", "type": "string", "description": "shiver my timbers"}, ], retention_period_in_days=1, + source_dataset_name="my_source_table", + source_dataset_location="s3://databucket/table2", + data_sensitivity_level="OFFICIAL", ) @pytest.fixture diff --git a/lib/datahub-client/tests/test_client_openmetadata.py b/lib/datahub-client/tests/test_client_openmetadata.py index d386a8d0..4220784e 100644 --- a/lib/datahub-client/tests/test_client_openmetadata.py +++ b/lib/datahub-client/tests/test_client_openmetadata.py @@ -1,3 +1,5 @@ +from datetime import datetime + import pytest from data_platform_catalogue.client import ReferencedEntityMissing from data_platform_catalogue.client.openmetadata import OpenMetadataCatalogueClient @@ -5,6 +7,7 @@ CatalogueMetadata, DataLocation, DataProductMetadata, + DataProductStatus, TableMetadata, ) @@ -85,10 +88,18 @@ def data_product(self): description="bla bla", version="v1.0.0", owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", tags=["test"], ) @@ -102,6 +113,8 @@ def table(self): {"name": "bar", "type": "int", "description": "b"}, ], retention_period_in_days=365, + source_dataset_name="my_source_table", + source_dataset_location="s3://databucket/folder", ) @pytest.fixture diff --git a/lib/datahub-client/tests/test_entities.py b/lib/datahub-client/tests/test_entities.py index d425aeae..1e7debc8 100644 --- a/lib/datahub-client/tests/test_entities.py +++ b/lib/datahub-client/tests/test_entities.py @@ -1,5 +1,12 @@ +from datetime import datetime + import pytest -from data_platform_catalogue.entities import DataProductMetadata, TableMetadata +from data_platform_catalogue.entities import ( + DataProductMetadata, + DataProductStatus, + SecurityClassification, + TableMetadata, +) @pytest.fixture @@ -9,10 +16,18 @@ def data_product(): description="bla bla", version="v1.0.0", owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", tags=["test"], ) @@ -27,6 +42,9 @@ def table(): {"name": "bar", "type": "int", "description": "b"}, ], retention_period_in_days=None, + source_dataset_name="my_source_table", + source_dataset_location="s3://source-bucket/folder", + data_sensitivity_level=SecurityClassification.OFFICIAL, tags=["test"], ) @@ -38,11 +56,16 @@ def test_from_data_product_metadata_dict(data_product): "description": "bla bla", "domain": "legal-aid", "dataProductOwner": "justice@justice.gov.uk", - "dataProductOwnerDisplayName": "justice", + "dataProductOwnerDisplayName": "April Gonzalez", + "dataProductMaintainer": "j.shelvey@digital.justice.gov.uk", + "dataProductMaintainerDisplayName": "Jonjo Shelvey", "email": "justice@justice.gov.uk", - "status": "draft", + "status": "DRAFT", "dpiaRequired": False, "retentionPeriod": 365, + "lastUpdated": "20200517", + "creationDate": "20200517", + "s3Location": "s3://databucket/", "tags": ["test"], }, "v1.0.0", @@ -60,6 +83,8 @@ def test_from_data_product_schema_dict(table): {"name": "bar", "type": "int", "description": "b"}, ], "tags": ["test"], + "sourceDatasetName": "my_source_table", + "sourceDatasetLocation": "s3://source-bucket/folder", }, "my_table", ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 6011fda3..cd18ff25 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -8,11 +8,12 @@ """ import os +from datetime import datetime import pytest from data_platform_catalogue import DataProductMetadata, TableMetadata from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient -from data_platform_catalogue.entities import DataLocation +from data_platform_catalogue.entities import DataLocation, DataProductStatus from data_platform_catalogue.search_types import MultiSelectFilter, ResultType from datahub.metadata.schema_classes import DatasetPropertiesClass, SchemaMetadataClass @@ -26,14 +27,23 @@ def test_upsert_test_hierarchy(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( - name="test_data_product", + name="my_data_product", description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="Sample", + domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", + tags=["test"], ) table = TableMetadata( @@ -44,6 +54,8 @@ def test_upsert_test_hierarchy(): {"name": "bar", "type": "int", "description": "b"}, ], retention_period_in_days=365, + source_dataset_name="my_source_table", + source_dataset_location="s3://databucket/folder", tags=["test"], ) @@ -75,14 +87,22 @@ def test_search_for_data_product(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( - name="lfdskjflkjflkjsdflksfjds", - description="lfdskjflkjflkjsdflksfjds", + name="my_data_product", + description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="Sample", + domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", tags=["test"], ) client.upsert_data_product(data_product) @@ -110,14 +130,22 @@ def test_domain_facets_are_returned(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( - name="lfdskjflkjflkjsdflksfjds", - description="lfdskjflkjflkjsdflksfjds", + name="my_data_product", + description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="Sample", + domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", tags=["test"], ) client.upsert_data_product(data_product) @@ -132,14 +160,22 @@ def test_filter_by_urn(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( - name="lfdskjflkjflkjsdflksfjds", - description="lfdskjflkjflkjsdflksfjds", + name="my_data_product", + description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="Sample", + domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", tags=["test"], ) urn = client.upsert_data_product(data_product) @@ -155,14 +191,23 @@ def test_fetch_dataset_belonging_to_data_product(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( - name="test_data_product", + name="my_data_product", description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="Sample", + domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", + tags=["test"], ) table = TableMetadata( @@ -173,6 +218,8 @@ def test_fetch_dataset_belonging_to_data_product(): {"name": "bar", "type": "int", "description": "b"}, ], retention_period_in_days=365, + source_dataset_name="my_source_table", + source_dataset_location="s3://databucket/folder", tags=["test"], ) diff --git a/lib/datahub-client/tests/test_integration_with_openmetadata_server.py b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py index 0337d631..a34863a0 100644 --- a/lib/datahub-client/tests/test_integration_with_openmetadata_server.py +++ b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py @@ -8,11 +8,12 @@ """ import os +from datetime import datetime import pytest from data_platform_catalogue import DataProductMetadata, TableMetadata from data_platform_catalogue.client.openmetadata import OpenMetadataCatalogueClient -from data_platform_catalogue.entities import DataLocation +from data_platform_catalogue.entities import DataLocation, DataProductStatus jwt_token = os.environ.get("JWT_TOKEN") api_url = os.environ.get("API_URL", "") @@ -29,22 +30,40 @@ def test_upsert_test_hierarchy(): name="my_data_product", description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", + tags=["test"], ) data_product_schema = DataProductMetadata( - name="Tables", - description="All the tables contained within my_data_product", + name="my_data_product", + description="bla bla", version="v1.0.0", - owner="7804c127-d677-4900-82f9-83517e51bb94", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", + status=DataProductStatus.DRAFT, retention_period_in_days=365, domain="legal-aid", dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", + tags=["test"], ) table = TableMetadata( @@ -55,6 +74,8 @@ def test_upsert_test_hierarchy(): {"name": "bar", "type": "int", "description": "b"}, ], retention_period_in_days=365, + source_dataset_name="my_source_table", + source_dataset_location="s3://databucket/folder", ) service_fqn = client.upsert_database_service(name="data_platform") From 7aa60d8289cf553a84c19d17cb9ce90a2ed5c21c Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Wed, 7 Feb 2024 12:27:08 +0000 Subject: [PATCH 23/64] Bump aiohttp from 3.9.1 to 3.9.2 in /python-libraries/data-platform-catalogue (#3126) Bump aiohttp in /python-libraries/data-platform-catalogue Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.9.1 to 3.9.2. - [Release notes](https://github.com/aio-libs/aiohttp/releases) - [Changelog](https://github.com/aio-libs/aiohttp/blob/master/CHANGES.rst) - [Commits](https://github.com/aio-libs/aiohttp/compare/v3.9.1...v3.9.2) --- updated-dependencies: - dependency-name: aiohttp dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Gary <26419401+Gary-H9@users.noreply.github.com> --- lib/datahub-client/poetry.lock | 157 +++++++++++++++++---------------- 1 file changed, 79 insertions(+), 78 deletions(-) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index ddfcb8de..a6cd08df 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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(>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"] +test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"] test-randomorder = ["pytest-randomly"] [[package]] From df7c6dc3780f97ef5fd670333a53a9126a249dd1 Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Thu, 8 Feb 2024 14:15:23 +0000 Subject: [PATCH 25/64] Dpl 3207 data product metadata bug (#3235) * add fix to upsert_table to persist data product metadata * test data product metadata input * make tests pass and add check for product data persisting * updated snapshot golden files * Empty Commit * Empty Commit * remove to dot. * lint * update snapshot file for test * updates for new release --- lib/datahub-client/CHANGELOG.md | 6 ++ .../client/datahub/datahub_client.py | 7 ++- lib/datahub-client/pyproject.toml | 2 +- .../datahub_create_table_with_metadata.json | 7 ++- ...tahub_create_two_tables_with_metadata.json | 14 ++++- .../tests/test_client_datahub.py | 37 +++++++++++- .../golden_data_product_in.json | 59 +++++++++++++++++++ 7 files changed, 126 insertions(+), 6 deletions(-) create mode 100644 lib/datahub-client/tests/test_resources/golden_data_product_in.json diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 4a9f01c7..d739a33a 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.12.0] 2024-02-08 + +### Changed + +- Added fix so upsert_table does not overwrite data product metadata. + ## [0.11.0] 2024-02-05 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 11d0051d..49c331e4 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -310,7 +310,12 @@ def upsert_table( else: assets = [data_product_association] - data_product_properties = DataProductPropertiesClass(assets=assets) + data_product_properties = DataProductPropertiesClass( + description=data_product_existing_properties.description, + name=data_product_existing_properties.name, + customProperties=data_product_existing_properties.customProperties, + assets=assets, + ) metadata_event = MetadataChangeProposalWrapper( entityType="dataproduct", diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index a855ef7c..386dd587 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.11.0" +version = "0.12.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json index 6af7728f..9ca2cd54 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -129,7 +129,12 @@ "aspectName": "dataProductProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "version": "2.0", + "dpia": "false" + }, + "name": "my_data_product", + "description": "bla bla", "assets": [ { "sourceUrn": "urn:li:dataProduct:my_data_product", diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json index 49b8eaa0..c9da106a 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -129,7 +129,12 @@ "aspectName": "dataProductProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "version": "2.0", + "dpia": "false" + }, + "name": "my_data_product", + "description": "bla bla", "assets": [ { "sourceUrn": "urn:li:dataProduct:my_data_product", @@ -244,7 +249,12 @@ "aspectName": "dataProductProperties", "aspect": { "json": { - "customProperties": {}, + "customProperties": { + "version": "2.0", + "dpia": "false" + }, + "name": "my_data_product", + "description": "bla bla", "assets": [ { "sourceUrn": "urn:li:dataProduct:my_data_product", diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/test_client_datahub.py index 2c984ccd..0fe6ebc5 100644 --- a/lib/datahub-client/tests/test_client_datahub.py +++ b/lib/datahub-client/tests/test_client_datahub.py @@ -10,6 +10,7 @@ DataProductStatus, TableMetadata, ) +from datahub.metadata.schema_classes import DataProductPropertiesClass class TestCatalogueClientWithDatahub: @@ -85,12 +86,27 @@ def datahub_client(self, base_mock_graph) -> DataHubCatalogueClient: jwt_token="abc", api_url="http://example.com/api/gms", graph=base_mock_graph ) + @pytest.fixture + def golden_file_in(self): + return Path( + Path(__file__).parent / "test_resources/golden_data_product_in.json" + ) + def test_create_table_datahub( - self, datahub_client, base_mock_graph, table, tmp_path, check_snapshot + self, + datahub_client, + base_mock_graph, + table, + tmp_path, + check_snapshot, + golden_file_in, ): """ Case where we just create a dataset (no data product) """ + mock_graph = base_mock_graph + mock_graph.import_file(golden_file_in) + fqn = datahub_client.upsert_table( metadata=table, location=DataLocation(fully_qualified_name="my_database"), @@ -111,10 +127,14 @@ def test_create_table_with_metadata_datahub( base_mock_graph, tmp_path, check_snapshot, + golden_file_in, ): """ Case where we create a dataset, data product and domain """ + mock_graph = base_mock_graph + mock_graph.import_file(golden_file_in) + fqn = datahub_client.upsert_table( metadata=table, data_product_metadata=data_product, @@ -124,6 +144,12 @@ def test_create_table_with_metadata_datahub( assert fqn == fqn_out + # check data product properties persist + dp_properties = mock_graph.get_aspect( + "urn:li:dataProduct:my_data_product", aspect_type=DataProductPropertiesClass + ) + assert dp_properties.description == "bla bla" + assert dp_properties.customProperties == {"version": "2.0", "dpia": "false"} output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") base_mock_graph.sink_to_file(output_file) check_snapshot("datahub_create_table_with_metadata.json", output_file) @@ -137,10 +163,15 @@ def test_create_two_tables_with_metadata( base_mock_graph, tmp_path, check_snapshot, + golden_file_in, ): """ Case where we create a dataset, data product and domain """ + + mock_graph = base_mock_graph + mock_graph.import_file(golden_file_in) + fqn = datahub_client.upsert_table( metadata=table, data_product_metadata=data_product, @@ -171,10 +202,14 @@ def test_create_table_and_metadata_idempotent_datahub( base_mock_graph, tmp_path, check_snapshot, + golden_file_in, ): """ `create_table` should work even if the entities already exist in the metadata graph. """ + mock_graph = base_mock_graph + mock_graph.import_file(golden_file_in) + datahub_client.upsert_table( metadata=table, data_product_metadata=data_product, diff --git a/lib/datahub-client/tests/test_resources/golden_data_product_in.json b/lib/datahub-client/tests/test_resources/golden_data_product_in.json new file mode 100644 index 00000000..7cd57425 --- /dev/null +++ b/lib/datahub-client/tests/test_resources/golden_data_product_in.json @@ -0,0 +1,59 @@ +[ + { + "entityType": "dataProduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "dataProductProperties", + "aspect": { + "json": { + "customProperties": { + "version": "2.0", + "dpia": "false" + }, + "externalUrl": "https://github.com/datahub-project/datahub", + "name": "my_data_product", + "description": "bla bla", + "assets": [] + } + } + }, + { + "entityType": "dataProduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:legal-aid" + ] + } + } + }, + { + "entityType": "dataProduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [ + { + "tag": "urn:li:tag:awesome" + } + ] + } + } + }, + { + "entityType": "dataProduct", + "entityUrn": "urn:li:dataProduct:my_data_product", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } + } + ] From 5ff5989d8fe5f33a618dfd47e70d0634273cbeb8 Mon Sep 17 00:00:00 2001 From: Mitch Dawson <86007219+mitchdawson1982@users.noreply.github.com> Date: Thu, 15 Feb 2024 16:32:34 +0000 Subject: [PATCH 26/64] :sparkles: Add subdomain field to dataproduct metadata (#3304) * :sparkles: Add subdomain field to dataproduct metadata * remove openmetadata files, adds subdomain and updates domain and subdomain refferences. * resolve broken tests * resolve comments * resolve comments pt 2 --- lib/datahub-client/CHANGELOG.md | 11 + lib/datahub-client/README.md | 3 +- .../client/datahub/datahub_client.py | 78 +++-- .../client/openmetadata.py | 231 ------------- .../data_platform_catalogue/entities.py | 14 +- .../tests/snapshots/datahub_create_table.json | 4 +- .../datahub_create_table_with_metadata.json | 23 +- ...tahub_create_two_tables_with_metadata.json | 50 ++- .../tests/test_client_datahub.py | 12 +- .../tests/test_client_openmetadata.py | 323 ------------------ lib/datahub-client/tests/test_entities.py | 8 +- .../test_integration_with_datahub_server.py | 39 ++- ...st_integration_with_openmetadata_server.py | 95 ------ .../golden_data_product_in.json | 4 +- 14 files changed, 140 insertions(+), 755 deletions(-) delete mode 100644 lib/datahub-client/data_platform_catalogue/client/openmetadata.py delete mode 100644 lib/datahub-client/tests/test_client_openmetadata.py delete mode 100644 lib/datahub-client/tests/test_integration_with_openmetadata_server.py diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index d739a33a..478183b1 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,17 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.13.0] 2024-02-14 + +### Changed + +- Added subdomain property to dataproduct +- Renamed `source_dataset_location` to `where_to_access_dataset` + +### Removed + +- openmetadata code + ## [0.12.0] 2024-02-08 ### Changed diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index 3a2f60dc..ed3202dc 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -45,7 +45,8 @@ data_product = DataProductMetadata( owner = "7804c127-d677-4900-82f9-83517e51bb94", email = "justice@justice.gov.uk", retention_period_in_days = 365, - domain = "HMCTS", + domain = "LAA", + subdomain = "Legal Aid", dpia_required = False ) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 49c331e4..1a269b12 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -31,7 +31,7 @@ SearchResponse, SortOption, ) -from ..base import BaseCatalogueClient, CatalogueError, ReferencedEntityMissing, logger +from ..base import BaseCatalogueClient, CatalogueError, logger from .search import SearchClient DATAHUB_DATA_TYPE_MAPPING = { @@ -151,41 +151,51 @@ def upsert_data_product(self, metadata: DataProductMetadata): data_product_urn = "urn:li:dataProduct:" + "".join(name.split()) - if metadata.domain: - domain = metadata_dict.pop("domain") - domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain) + domain = metadata_dict.pop("domain") + domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain) - if domain_urn is None: - logger.info(f"creating new domain {domain} for {name}") - domain_urn = self.create_domain(domain=domain) + if domain_urn is None: + logger.info(f"creating new domain {domain} for {name}") + domain_urn = self.create_domain(domain=domain) - data_product_domain = DomainsClass(domains=[domain_urn]) - metadata_event = MetadataChangeProposalWrapper( - entityType="dataproduct", - changeType=ChangeTypeClass.UPSERT, - entityUrn=data_product_urn, - aspect=data_product_domain, - ) - self.graph.emit(metadata_event) - logger.info(f"Data Product {name} associated with domain {domain}") + subdomain_urn = None + if metadata.subdomain: + subdomain = metadata_dict.pop("subdomain") + subdomain_urn = self.graph.get_domain_urn_by_name(domain_name=subdomain) - data_product_properties = DataProductPropertiesClass( - customProperties={key: str(val) for key, val in metadata_dict.items()}, - description=description, - name=name, - ) - metadata_event = MetadataChangeProposalWrapper( - entityType="dataproduct", - changeType=ChangeTypeClass.UPSERT, - entityUrn=data_product_urn, - aspect=data_product_properties, - ) - self.graph.emit(metadata_event) - logger.info(f"Properties updated for Data Product {name} ") + if subdomain_urn is None: + logger.info(f"creating new subdomain {domain} for {name}") + domain_urn = self.create_domain( + domain=subdomain, parentDomain=domain_urn + ) - return data_product_urn - else: - raise ReferencedEntityMissing("Data Product must belong to a Domain") + data_product_domain = DomainsClass( + domains=[subdomain_urn if subdomain_urn else domain_urn] + ) + metadata_event = MetadataChangeProposalWrapper( + entityType="dataproduct", + changeType=ChangeTypeClass.UPSERT, + entityUrn=data_product_urn, + aspect=data_product_domain, + ) + self.graph.emit(metadata_event) + logger.info(f"Data Product {name} associated with domain {domain}") + + data_product_properties = DataProductPropertiesClass( + customProperties={key: str(val) for key, val in metadata_dict.items()}, + description=description, + name=name, + ) + metadata_event = MetadataChangeProposalWrapper( + entityType="dataproduct", + changeType=ChangeTypeClass.UPSERT, + entityUrn=data_product_urn, + aspect=data_product_properties, + ) + self.graph.emit(metadata_event) + logger.info(f"Properties updated for Data Product {name} ") + + return data_product_urn def upsert_table( self, @@ -231,8 +241,8 @@ def upsert_table( description=metadata.description, customProperties={ "sourceDatasetName": metadata.source_dataset_name, - "sourceDatasetLocation": metadata.source_dataset_location, - "sensitivityLevel": metadata.data_sensitivity_level, + "whereToAccessDataset": metadata.where_to_access_dataset, + "sensitivityLevel": metadata.data_sensitivity_level.name, "rowCount": "1177", }, ) diff --git a/lib/datahub-client/data_platform_catalogue/client/openmetadata.py b/lib/datahub-client/data_platform_catalogue/client/openmetadata.py deleted file mode 100644 index 989072dd..00000000 --- a/lib/datahub-client/data_platform_catalogue/client/openmetadata.py +++ /dev/null @@ -1,231 +0,0 @@ -import json -from http import HTTPStatus - -from metadata.generated.schema.api.data.createDatabase import CreateDatabaseRequest -from metadata.generated.schema.api.data.createDatabaseSchema import ( - CreateDatabaseSchemaRequest, -) -from metadata.generated.schema.api.data.createTable import CreateTableRequest -from metadata.generated.schema.entity.data.table import Column -from metadata.generated.schema.entity.data.table import DataType as OpenMetadataDataType -from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import ( - OpenMetadataConnection, -) -from metadata.generated.schema.entity.services.databaseService import ( - DatabaseServiceType, -) -from metadata.generated.schema.entity.teams.user import User -from metadata.generated.schema.security.client.openMetadataJWTClientConfig import ( - OpenMetadataJWTClientConfig, -) -from metadata.generated.schema.type.basic import Duration -from metadata.generated.schema.type.entityReference import EntityReference -from metadata.generated.schema.type.tagLabel import ( - LabelType, - State, - TagLabel, - TagSource, -) -from metadata.ingestion.ometa.ometa_api import APIError, OpenMetadata - -from ..entities import ( - CatalogueMetadata, - DataLocation, - DataProductMetadata, - TableMetadata, -) -from .base import BaseCatalogueClient, CatalogueError, ReferencedEntityMissing, logger - -OMD_DATA_TYPE_MAPPING = { - "boolean": OpenMetadataDataType.BOOLEAN, - "tinyint": OpenMetadataDataType.TINYINT, - "smallint": OpenMetadataDataType.SMALLINT, - "int": OpenMetadataDataType.INT, - "integer": OpenMetadataDataType.INT, - "bigint": OpenMetadataDataType.BIGINT, - "double": OpenMetadataDataType.DOUBLE, - "float": OpenMetadataDataType.FLOAT, - "decimal": OpenMetadataDataType.DECIMAL, - "char": OpenMetadataDataType.CHAR, - "varchar": OpenMetadataDataType.VARCHAR, - "string": OpenMetadataDataType.STRING, - "date": OpenMetadataDataType.DATE, - "timestamp": OpenMetadataDataType.TIMESTAMP, -} - - -class OpenMetadataCatalogueClient(BaseCatalogueClient): - """ - Client for pushing metadata to the OpenMetadata catalogue. - - Tables in the catalogue are arranged into the following hierarchy: - DatabaseService -> Database -> Schema -> Table - - If there is a problem communicating with the catalogue, methods will raise an instance of - CatalogueError. - """ - - def __init__( - self, - jwt_token, - api_url: str, - ): - self.server_config = OpenMetadataConnection( - hostPort=api_url, - securityConfig=OpenMetadataJWTClientConfig(jwtToken=jwt_token), - authProvider="openmetadata", - ) # pyright: ignore[reportGeneralTypeIssues] - self.metadata = OpenMetadata(self.server_config) - - def is_healthy(self) -> bool: - """ - Ping the catalogue health check and return True if healthy. - """ - return self.metadata.health_check() - - def upsert_database_service( - self, name: str = "data-platform", display_name: str = "Data platform" - ) -> str: - """ - Define a database service. - We have one service representing the connection to the data platform's internal - glue catalogue. - - Returns the fully qualified name of the metadata object in the catalogue. - """ - # Directly pass JSON as a workaround because in metadata.create_or_update won't let us pass - # an empty connection config if serviceType = Glue. - # This workaround can be removed when we update to OpenMetadata 1.2.0. - service = { - "name": name, - "displayName": display_name, - "serviceType": DatabaseServiceType.Glue.value, - "connection": {"config": {}}, - } - - logger.info(f"Creating {service}") - - response = self.metadata.client.put( - "/services/databaseServices", data=json.dumps(service) - ) - if response is not None: - return response["fullyQualifiedName"] - else: - raise ReferencedEntityMissing - - def upsert_database( - self, metadata: CatalogueMetadata | DataProductMetadata, location: DataLocation - ) -> str: - """ - Define a database. - There should be one database per data product. - """ - create_db = CreateDatabaseRequest( - name=metadata.name, - description=metadata.description, - tags=self._generate_tags(metadata.tags), - service=location.fully_qualified_name, - owner=EntityReference( - id=metadata.owner, type="user" - ), # pyright: ignore[reportGeneralTypeIssues] - ) - return self._upsert_entity(create_db) - - def upsert_schema( - self, metadata: DataProductMetadata, location: DataLocation - ) -> str: - """ - Define a database schema. - There should be one schema per data product and for now flexibility is retained - and metadata is of type DataProductMetadata but we'd expect a uniform name and - description for each data product, e.g: - name="Tables", description="All the tables contained within {data_product_name}" - """ - create_schema = CreateDatabaseSchemaRequest( - name=metadata.name, - description=metadata.description, - owner=EntityReference( - id=metadata.owner, type="user" - ), # pyright: ignore[reportGeneralTypeIssues] - tags=self._generate_tags(metadata.tags), - retentionPeriod=self._generate_duration(metadata.retention_period_in_days), - database=location.fully_qualified_name, - ) - return self._upsert_entity(create_schema) - - def upsert_table( - self, - metadata: TableMetadata, - location: DataLocation, - *args, - **kwargs, - ) -> str: - """ - Define a table. - There can be many tables per data product. - columns are expected to be a list of dicts in the format - {"name": "column1", "type": "string", "description": "just an example"} - """ - columns = [ - Column( - name=column["name"], - dataType=OMD_DATA_TYPE_MAPPING[column["type"]], - description=column["description"], - ) # pyright: ignore[reportGeneralTypeIssues] - # pyright is ignoring field(None,x) - for column in metadata.column_details - ] - create_table = CreateTableRequest( - name=metadata.name, - description=metadata.description, - retentionPeriod=self._generate_duration(metadata.retention_period_in_days), - tags=self._generate_tags(metadata.tags), - databaseSchema=location.fully_qualified_name, - columns=columns, - ) # pyright: ignore[reportGeneralTypeIssues] - return self._upsert_entity(create_table) - - def _upsert_entity(self, data) -> str: - logger.info(f"Creating {data.json()}") - - try: - response = self.metadata.create_or_update(data=data) - except APIError as exception: - if exception.status_code == HTTPStatus.NOT_FOUND: - raise ReferencedEntityMissing from exception - else: - raise CatalogueError from exception - except Exception as exception: - raise CatalogueError from exception - - return response.dict()["fullyQualifiedName"] - - def get_user_id(self, user_email: str): - """ - returns the user id from openmetadata when given a user's email - """ - username = user_email.split("@")[0] - user = self.metadata.get_by_name(entity=User, fqn=username) - if user is not None: - return user.id - else: - raise ReferencedEntityMissing - - def _generate_tags(self, tags: list[str]): - # TODO? update using the sdk logic: - # https://docs.open-metadata.org/v1.2.x/sdk/python/ingestion/tags#6-creating-the-classification - return [ - TagLabel( - tagFQN=tag, - labelType=LabelType.Automated, - source=TagSource.Classification, - state=State.Confirmed, - ) # pyright: ignore[reportGeneralTypeIssues] - for tag in tags - ] - - def _generate_duration(self, duration_in_days: int | None): - if duration_in_days is None: - return None - else: - return Duration.parse_obj(f"P{duration_in_days}D") diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index a55c81c3..0d28f3cd 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -44,6 +44,7 @@ class DataProductMetadata: email: str retention_period_in_days: int domain: str + subdomain: str | None dpia_required: bool dpia_location: str | None last_updated: datetime @@ -59,8 +60,6 @@ def from_data_product_metadata_dict(metadata: dict, version, owner_id: str): required fields in the json schema at https://github.com/ministryofjustice/modernisation-platform-environments/tree/main/terraform/environments/data-platform/data-product-metadata-json-schema - and should be pass version and owner id as in openmetadata. - Then populates a DataProductMetadata object with the given data. """ new_metadata = DataProductMetadata( @@ -75,6 +74,7 @@ def from_data_product_metadata_dict(metadata: dict, version, owner_id: str): status=DataProductStatus[metadata["status"]], retention_period_in_days=metadata["retentionPeriod"], domain=metadata["domain"], + subdomain=metadata.get("subdomain"), dpia_required=metadata["dpiaRequired"], dpia_location=metadata.get("dpiaLocation"), last_updated=datetime.strptime( @@ -102,9 +102,9 @@ class TableMetadata: description: str column_details: list retention_period_in_days: int | None - source_dataset_name: str | None = None - source_dataset_location: str | None = None - data_sensitivity_level: SecurityClassification = SecurityClassification["OFFICIAL"] + source_dataset_name: str = "" + where_to_access_dataset: str = "" + data_sensitivity_level: SecurityClassification = SecurityClassification.OFFICIAL tags: list[str] = field(default_factory=list) major_version: int = 1 @@ -127,8 +127,8 @@ def from_data_product_schema_dict( description=metadata["tableDescription"], column_details=metadata["columns"], retention_period_in_days=retention_period, - source_dataset_name=metadata.get("sourceDatasetName"), - source_dataset_location=metadata.get("sourceDatasetLocation"), + source_dataset_name=metadata.get("sourceDatasetName", ""), + where_to_access_dataset=metadata.get("sourceDatasetLocation", ""), data_sensitivity_level=SecurityClassification[ metadata.get("securityClassification", "OFFICIAL") ], diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json index da0c017d..14d6cd0a 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table.json @@ -8,8 +8,8 @@ "json": { "customProperties": { "sourceDatasetName": "my_source_table", - "sourceDatasetLocation": "s3://databucket/table1", - "sensitivityLevel": "TOP SECRET", + "whereToAccessDataset": "s3://databucket/table1", + "sensitivityLevel": "TOP_SECRET", "rowCount": "1177" }, "description": "bla bla", diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json index 9ca2cd54..fcc35275 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -8,8 +8,8 @@ "json": { "customProperties": { "sourceDatasetName": "my_source_table", - "sourceDatasetLocation": "s3://databucket/table1", - "sensitivityLevel": "TOP SECRET", + "whereToAccessDataset": "s3://databucket/table1", + "sensitivityLevel": "TOP_SECRET", "rowCount": "1177" }, "description": "bla bla", @@ -74,16 +74,29 @@ }, { "entityType": "domain", - "entityUrn": "urn:li:domain:legal-aid", + "entityUrn": "urn:li:domain:LAA", "changeType": "UPSERT", "aspectName": "domainProperties", "aspect": { "json": { - "name": "legal-aid", + "name": "LAA", "description": "" } } }, +{ + "entityType": "domain", + "entityUrn": "urn:li:domain:Legal Aid", + "changeType": "UPSERT", + "aspectName": "domainProperties", + "aspect": { + "json": { + "name": "Legal Aid", + "description": "", + "parentDomain": "urn:li:domain:LAA" + } + } +}, { "entityType": "dataproduct", "entityUrn": "urn:li:dataProduct:my_data_product", @@ -92,7 +105,7 @@ "aspect": { "json": { "domains": [ - "urn:li:domain:legal-aid" + "urn:li:domain:Legal Aid" ] } } diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json index c9da106a..00898550 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -8,8 +8,8 @@ "json": { "customProperties": { "sourceDatasetName": "my_source_table", - "sourceDatasetLocation": "s3://databucket/table1", - "sensitivityLevel": "TOP SECRET", + "whereToAccessDataset": "s3://databucket/table1", + "sensitivityLevel": "TOP_SECRET", "rowCount": "1177" }, "description": "bla bla", @@ -74,16 +74,29 @@ }, { "entityType": "domain", - "entityUrn": "urn:li:domain:legal-aid", + "entityUrn": "urn:li:domain:LAA", "changeType": "UPSERT", "aspectName": "domainProperties", "aspect": { "json": { - "name": "legal-aid", + "name": "LAA", "description": "" } } }, +{ + "entityType": "domain", + "entityUrn": "urn:li:domain:Legal Aid", + "changeType": "UPSERT", + "aspectName": "domainProperties", + "aspect": { + "json": { + "name": "Legal Aid", + "description": "", + "parentDomain": "urn:li:domain:LAA" + } + } +}, { "entityType": "dataproduct", "entityUrn": "urn:li:dataProduct:my_data_product", @@ -92,7 +105,7 @@ "aspect": { "json": { "domains": [ - "urn:li:domain:legal-aid" + "urn:li:domain:Legal Aid" ] } } @@ -153,7 +166,7 @@ "json": { "customProperties": { "sourceDatasetName": "my_source_table", - "sourceDatasetLocation": "s3://databucket/table2", + "whereToAccessDataset": "s3://databucket/table2", "sensitivityLevel": "OFFICIAL", "rowCount": "1177" }, @@ -217,31 +230,6 @@ } } }, -{ - "entityType": "domain", - "entityUrn": "urn:li:domain:legal-aid", - "changeType": "UPSERT", - "aspectName": "domainProperties", - "aspect": { - "json": { - "name": "legal-aid", - "description": "" - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "domains", - "aspect": { - "json": { - "domains": [ - "urn:li:domain:legal-aid" - ] - } - } -}, { "entityType": "dataproduct", "entityUrn": "urn:li:dataProduct:my_data_product", diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/test_client_datahub.py index 0fe6ebc5..2a2435a5 100644 --- a/lib/datahub-client/tests/test_client_datahub.py +++ b/lib/datahub-client/tests/test_client_datahub.py @@ -8,6 +8,7 @@ DataLocation, DataProductMetadata, DataProductStatus, + SecurityClassification, TableMetadata, ) from datahub.metadata.schema_classes import DataProductPropertiesClass @@ -41,7 +42,8 @@ def data_product(self): email="justice@justice.gov.uk", status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -61,8 +63,8 @@ def table(self): ], retention_period_in_days=365, source_dataset_name="my_source_table", - source_dataset_location="s3://databucket/table1", - data_sensitivity_level="TOP SECRET", + where_to_access_dataset="s3://databucket/table1", + data_sensitivity_level=SecurityClassification.TOP_SECRET, ) @pytest.fixture @@ -76,8 +78,8 @@ def table2(self): ], retention_period_in_days=1, source_dataset_name="my_source_table", - source_dataset_location="s3://databucket/table2", - data_sensitivity_level="OFFICIAL", + where_to_access_dataset="s3://databucket/table2", + data_sensitivity_level=SecurityClassification.OFFICIAL, ) @pytest.fixture diff --git a/lib/datahub-client/tests/test_client_openmetadata.py b/lib/datahub-client/tests/test_client_openmetadata.py deleted file mode 100644 index 4220784e..00000000 --- a/lib/datahub-client/tests/test_client_openmetadata.py +++ /dev/null @@ -1,323 +0,0 @@ -from datetime import datetime - -import pytest -from data_platform_catalogue.client import ReferencedEntityMissing -from data_platform_catalogue.client.openmetadata import OpenMetadataCatalogueClient -from data_platform_catalogue.entities import ( - CatalogueMetadata, - DataLocation, - DataProductMetadata, - DataProductStatus, - TableMetadata, -) - - -class TestCatalogueClientWithOMD: - def mock_service_response(self, fqn): - return { - "fullyQualifiedName": fqn, - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "name": "foo", - "serviceType": "Glue", - } - - def mock_database_response(self, fqn): - return { - "fullyQualifiedName": fqn, - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "name": "foo", - "service": { - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "type": "Glue", - }, - } - - def mock_schema_response(self, fqn): - return { - "fullyQualifiedName": fqn, - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "name": "foo", - "service": { - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "type": "Glue", - }, - "database": { - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "type": "", - }, - } - - def mock_table_response_omd(self): - return { - "fullyQualifiedName": "my_table", - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "name": "foo", - "service": { - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "type": "Glue", - }, - "database": { - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "type": "", - }, - "databaseSchema": { - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - "type": "", - }, - "columns": [], - } - - def mock_user_response(self, fqn): - return { - "email": "justice@justice.gov.uk", - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - } - - @pytest.fixture - def catalogue(self): - return CatalogueMetadata( - name="data_platform", - description="All data products hosted on the data platform", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - ) - - @pytest.fixture - def data_product(self): - return DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, - retention_period_in_days=365, - domain="legal-aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - - @pytest.fixture - def table(self): - return TableMetadata( - name="my_table", - description="bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days=365, - source_dataset_name="my_source_table", - source_dataset_location="s3://databucket/folder", - ) - - @pytest.fixture - def omd_client(self, requests_mock) -> OpenMetadataCatalogueClient: - requests_mock.get( - "http://example.com/api/v1/system/version", - json={"version": "1.2.0.1", "revision": "1", "timestamp": 0}, - ) - - return OpenMetadataCatalogueClient( - jwt_token="abc", api_url="http://example.com/api" - ) - - def test_create_service_omd(self, omd_client, requests_mock): - requests_mock.put( - "http://example.com/api/v1/services/databaseServices", - json=self.mock_service_response("some-service"), - ) - - fqn = omd_client.upsert_database_service() - - assert requests_mock.last_request.json() == { - "name": "data-platform", - "displayName": "Data platform", - "serviceType": "Glue", - "connection": {"config": {}}, - } - assert fqn == "some-service" - - def test_create_database_omd(self, request, omd_client, requests_mock, catalogue): - requests_mock.put( - "http://example.com/api/v1/databases", - json=self.mock_database_response("some-db"), - ) - - fqn: str = omd_client.upsert_database( - metadata=catalogue, location=DataLocation("data-platform") - ) - assert requests_mock.last_request.json() == { - "name": "data_platform", - "displayName": None, - "domain": None, - "lifeCycle": None, - "description": "All data products hosted on the data platform", - "tags": [], - "owner": { - "id": "2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - "type": "user", - "name": None, - "fullyQualifiedName": None, - "description": None, - "displayName": None, - "deleted": None, - "href": None, - }, - "service": "data-platform", - "default": False, - "retentionPeriod": None, - "extension": None, - "sourceUrl": None, - } - assert fqn == "some-db" - - def test_create_schema(self, request, omd_client, requests_mock, data_product): - requests_mock.put( - "http://example.com/api/v1/databaseSchemas", - json=self.mock_schema_response("some-schema"), - ) - - fqn = omd_client.upsert_schema( - metadata=data_product, location=DataLocation("data-product") - ) - assert requests_mock.last_request.json() == { - "name": "my_data_product", - "displayName": None, - "domain": None, - "lifeCycle": None, - "description": "bla bla", - "owner": { - "deleted": None, - "description": None, - "displayName": None, - "fullyQualifiedName": None, - "href": None, - "id": "2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - "name": None, - "type": "user", - }, - "database": "data-product", - "tags": [ - { - "description": None, - "displayName": None, - "name": None, - "href": None, - "labelType": "Automated", - "source": "Classification", - "state": "Confirmed", - "style": None, - "tagFQN": "test", - } - ], - "retentionPeriod": "P365D", - "extension": None, - "sourceUrl": None, - } - assert fqn == "some-schema" - - def test_create_table_omd(self, request, omd_client, requests_mock, table): - requests_mock.put( - "http://example.com/api/v1/tables", - json=self.mock_table_response_omd(), - ) - - fqn = omd_client.upsert_table( - metadata=table, location=DataLocation("data-platform.data-product.schema") - ) - assert requests_mock.called - assert requests_mock.last_request.json() == { - "name": "my_table", - "displayName": None, - "domain": None, - "lifeCycle": None, - "description": "bla bla", - "dataProducts": None, - "tableType": None, - "columns": [ - { - "name": "foo", - "displayName": None, - "dataType": "STRING", - "arrayDataType": None, - "dataLength": None, - "precision": None, - "scale": None, - "dataTypeDisplay": None, - "description": "a", - "fullyQualifiedName": None, - "tags": None, - "constraint": None, - "ordinalPosition": None, - "jsonSchema": None, - "children": None, - "customMetrics": None, - "profile": None, - }, - { - "name": "bar", - "displayName": None, - "dataType": "INT", - "arrayDataType": None, - "dataLength": None, - "precision": None, - "scale": None, - "dataTypeDisplay": None, - "description": "b", - "fullyQualifiedName": None, - "tags": None, - "constraint": None, - "ordinalPosition": None, - "jsonSchema": None, - "children": None, - "customMetrics": None, - "profile": None, - }, - ], - "tableConstraints": None, - "tablePartition": None, - "tableProfilerConfig": None, - "owner": None, - "databaseSchema": "data-platform.data-product.schema", - "tags": [], - "viewDefinition": None, - "retentionPeriod": "P365D", - "extension": None, - "sourceUrl": None, - "fileFormat": None, - } - assert fqn == "my_table" - - def test_404_handling_omd(self, request, omd_client, requests_mock, table): - requests_mock.put( - "http://example.com/api/v1/tables", - status_code=404, - json={"code": "something", "message": "something"}, - ) - - with pytest.raises(ReferencedEntityMissing): - omd_client.upsert_table( - metadata=table, - location=DataLocation("data-platform.data-product.schema"), - ) - - def test_get_user_id(self, request, requests_mock, omd_client): - requests_mock.get( - "http://example.com/api/v1/users/name/justice", - json={ - "email": "justice@justice.gov.uk", - "name": "justice", - "id": "39b855e3-84a5-491e-b9a5-c411e626e340", - }, - ) - - user_id = omd_client.get_user_id("justice@justice.gov.uk") - - assert "39b855e3-84a5-491e-b9a5-c411e626e340" in str(user_id) diff --git a/lib/datahub-client/tests/test_entities.py b/lib/datahub-client/tests/test_entities.py index 1e7debc8..99ec92ea 100644 --- a/lib/datahub-client/tests/test_entities.py +++ b/lib/datahub-client/tests/test_entities.py @@ -22,7 +22,8 @@ def data_product(): email="justice@justice.gov.uk", status=DataProductStatus.DRAFT, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -43,7 +44,7 @@ def table(): ], retention_period_in_days=None, source_dataset_name="my_source_table", - source_dataset_location="s3://source-bucket/folder", + where_to_access_dataset="s3://source-bucket/folder", data_sensitivity_level=SecurityClassification.OFFICIAL, tags=["test"], ) @@ -54,7 +55,8 @@ def test_from_data_product_metadata_dict(data_product): { "name": "my_data_product", "description": "bla bla", - "domain": "legal-aid", + "domain": "LAA", + "subdomain": "Legal Aid", "dataProductOwner": "justice@justice.gov.uk", "dataProductOwnerDisplayName": "April Gonzalez", "dataProductMaintainer": "j.shelvey@digital.justice.gov.uk", diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index cd18ff25..6419dc68 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -8,6 +8,7 @@ """ import os +import time from datetime import datetime import pytest @@ -35,9 +36,10 @@ def test_upsert_test_hierarchy(): maintainer="j.shelvey@digital.justice.gov.uk", maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, + status=DataProductStatus.DRAFT.name, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -55,7 +57,7 @@ def test_upsert_test_hierarchy(): ], retention_period_in_days=365, source_dataset_name="my_source_table", - source_dataset_location="s3://databucket/folder", + where_to_access_dataset="s3://databucket/folder", tags=["test"], ) @@ -95,9 +97,10 @@ def test_search_for_data_product(): maintainer="j.shelvey@digital.justice.gov.uk", maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, + status=DataProductStatus.DRAFT.name, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -108,10 +111,10 @@ def test_search_for_data_product(): client.upsert_data_product(data_product) response = client.search( - query="lfdskjflkjflkjsdflksfjds", result_types=(ResultType.DATA_PRODUCT,) + query="my_data_product", result_types=(ResultType.DATA_PRODUCT,) ) assert response.total_results >= 1 - assert response.page_results[0].id == "urn:li:dataProduct:lfdskjflkjflkjsdflksfjds" + assert response.page_results[0].id == "urn:li:dataProduct:my_data_product" @runs_on_development_server @@ -138,9 +141,10 @@ def test_domain_facets_are_returned(): maintainer="j.shelvey@digital.justice.gov.uk", maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, + status=DataProductStatus.DRAFT.name, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -168,9 +172,10 @@ def test_filter_by_urn(): maintainer="j.shelvey@digital.justice.gov.uk", maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, + status=DataProductStatus.DRAFT.name, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -199,9 +204,10 @@ def test_fetch_dataset_belonging_to_data_product(): maintainer="j.shelvey@digital.justice.gov.uk", maintainer_display_name="Jonjo Shelvey", email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, + status=DataProductStatus.DRAFT.name, retention_period_in_days=365, - domain="legal-aid", + domain="LAA", + subdomain="Legal Aid", dpia_required=False, dpia_location=None, last_updated=datetime(2020, 5, 17), @@ -219,7 +225,7 @@ def test_fetch_dataset_belonging_to_data_product(): ], retention_period_in_days=365, source_dataset_name="my_source_table", - source_dataset_location="s3://databucket/folder", + where_to_access_dataset="s3://databucket/folder", tags=["test"], ) @@ -228,13 +234,14 @@ def test_fetch_dataset_belonging_to_data_product(): data_product_metadata=data_product, location=DataLocation("test_data_product_v2"), ) + # Introduce sleep to combat race conditions with table association + time.sleep(2) response = client.search( filters=[MultiSelectFilter(filter_name="urn", included_values=[urn])] ) - assert response.total_results == 1 metadata = response.page_results[0].metadata assert metadata["total_data_products"] == 1 - assert metadata["data_products"][0]["name"] == "test_data_product" + assert metadata["data_products"][0]["name"] == "my_data_product" diff --git a/lib/datahub-client/tests/test_integration_with_openmetadata_server.py b/lib/datahub-client/tests/test_integration_with_openmetadata_server.py deleted file mode 100644 index a34863a0..00000000 --- a/lib/datahub-client/tests/test_integration_with_openmetadata_server.py +++ /dev/null @@ -1,95 +0,0 @@ -""" -Integration test that runs against a development OpenMetadata server. - -Run with: -export API_URL='https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api' -export JWT_TOKEN=****** -poetry run pytest tests/test_integration_with_server.py -""" - -import os -from datetime import datetime - -import pytest -from data_platform_catalogue import DataProductMetadata, TableMetadata -from data_platform_catalogue.client.openmetadata import OpenMetadataCatalogueClient -from data_platform_catalogue.entities import DataLocation, DataProductStatus - -jwt_token = os.environ.get("JWT_TOKEN") -api_url = os.environ.get("API_URL", "") -runs_on_development_server = pytest.mark.skipif("not jwt_token or not api_url") - - -@runs_on_development_server -def test_upsert_test_hierarchy(): - client = OpenMetadataCatalogueClient(jwt_token=jwt_token, api_url=api_url) - - assert client.is_healthy() - - data_product = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, - retention_period_in_days=365, - domain="legal-aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - - data_product_schema = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, - retention_period_in_days=365, - domain="legal-aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - - table = TableMetadata( - name="my_table", - description="bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days=365, - source_dataset_name="my_source_table", - source_dataset_location="s3://databucket/folder", - ) - - service_fqn = client.upsert_database_service(name="data_platform") - assert service_fqn == "data_platform" - - database_fqn = client.upsert_database( - metadata=data_product, location=DataLocation(service_fqn) - ) - assert database_fqn == "data_platform.my_data_product" - - schema_fqn = client.upsert_schema( - metadata=data_product_schema, location=DataLocation(database_fqn) - ) - assert schema_fqn == "data_platform.my_data_product.Tables" - - table_fqn = client.upsert_table(metadata=table, location=DataLocation(schema_fqn)) - assert table_fqn == "data_platform.my_data_product.Tables.my_table" diff --git a/lib/datahub-client/tests/test_resources/golden_data_product_in.json b/lib/datahub-client/tests/test_resources/golden_data_product_in.json index 7cd57425..4fc6a087 100644 --- a/lib/datahub-client/tests/test_resources/golden_data_product_in.json +++ b/lib/datahub-client/tests/test_resources/golden_data_product_in.json @@ -25,7 +25,7 @@ "aspect": { "json": { "domains": [ - "urn:li:domain:legal-aid" + "urn:li:domain:LAA" ] } } @@ -56,4 +56,4 @@ } } } - ] +] From 63c0eebcfd08c677dad21ad97925a32ace5b9023 Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Mon, 19 Feb 2024 10:12:07 +0000 Subject: [PATCH 27/64] Bug fix catalogue name and page search (#3381) * fix for getting correct page returned in search result * fix for dataset name add and not duplicate asset attach to data product * tests dataset properties return as expected * extra integration test for unique page results * updated golden files * add decorator... * poetry version and changelog * lint --- lib/datahub-client/CHANGELOG.md | 10 ++++++++ .../client/datahub/datahub_client.py | 4 ++- .../client/datahub/search.py | 2 +- lib/datahub-client/pyproject.toml | 2 +- .../tests/snapshots/datahub_create_table.json | 1 + .../datahub_create_table_with_metadata.json | 1 + ...tahub_create_two_tables_with_metadata.json | 2 ++ .../test_integration_with_datahub_server.py | 25 ++++++++++++++++++- 8 files changed, 43 insertions(+), 4 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 478183b1..2eb2e509 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,16 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.14.0] 2024-02-19 + +### Changed + +- bugfix - search now returns correct page results, where start is +individual search result index. +- bugfix - `upsert_table` client method now adds dataset name to datahub. +- bugfix - `upsert_table` client method no longer duplicates assets assocaited +with data product. + ## [0.13.0] 2024-02-14 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 1a269b12..6f85af16 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -238,6 +238,7 @@ def upsert_table( ) dataset_properties = DatasetPropertiesClass( + name=metadata.name, description=metadata.description, customProperties={ "sourceDatasetName": metadata.source_dataset_name, @@ -316,7 +317,8 @@ def upsert_table( and data_product_existing_properties.assets is not None ): assets = data_product_existing_properties.assets[::] - assets.append(data_product_association) + if data_product_association not in assets: + assets.append(data_product_association) else: assets = [data_product_association] diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 4fbfceb5..bac15997 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -52,7 +52,7 @@ def search( if page is None: start = 0 else: - start = int(page) + start = int(page) * count types = self._map_result_types(result_types) formatted_filters = self._map_filters(filters) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 386dd587..8edb982c 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.12.0" +version = "0.14.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json index 14d6cd0a..2f541e39 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table.json @@ -12,6 +12,7 @@ "sensitivityLevel": "TOP_SECRET", "rowCount": "1177" }, + "name": "my_table", "description": "bla bla", "tags": [] } diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json index fcc35275..3699dd72 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -12,6 +12,7 @@ "sensitivityLevel": "TOP_SECRET", "rowCount": "1177" }, + "name": "my_table", "description": "bla bla", "tags": [] } diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json index 00898550..6fb37172 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -12,6 +12,7 @@ "sensitivityLevel": "TOP_SECRET", "rowCount": "1177" }, + "name": "my_table", "description": "bla bla", "tags": [] } @@ -170,6 +171,7 @@ "sensitivityLevel": "OFFICIAL", "rowCount": "1177" }, + "name": "my_table2", "description": "this is a different table", "tags": [] } diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 6419dc68..39c27a25 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -4,7 +4,7 @@ Run with: export API_URL='https://catalogue.apps-tools.development.data-platform.service.justice.gov.uk/api' export JWT_TOKEN=****** -poetry run pytest tests/test_integration_with_server.py +poetry run pytest tests/test_integration_with_datahub_server.py """ import os @@ -75,6 +75,21 @@ def test_upsert_test_hierarchy(): assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) + dataset_properties = client.graph.get_aspect( + table_fqn, aspect_type=DatasetPropertiesClass + ) + # check properties been loaded to datahub dataset + assert dataset_properties.description == table.description + assert dataset_properties.name == table.name + assert ( + dataset_properties.customProperties["sourceDatasetName"] + == table.source_dataset_name + ) + assert ( + dataset_properties.customProperties["whereToAccessDataset"] + == table.where_to_access_dataset + ) + @runs_on_development_server def test_search(): @@ -245,3 +260,11 @@ def test_fetch_dataset_belonging_to_data_product(): metadata = response.page_results[0].metadata assert metadata["total_data_products"] == 1 assert metadata["data_products"][0]["name"] == "my_data_product" + + +@runs_on_development_server +def test_paginated_search_results_unique(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + results1 = client.search(page="1").page_results + results2 = client.search(page="2").page_results + assert not any(x in results1 for x in results2) From 98d1bad101fbf52b0ed642ce95193908951c3ce6 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 19 Feb 2024 15:07:32 +0000 Subject: [PATCH 28/64] Bump cryptography from 42.0.0 to 42.0.2 in /python-libraries/data-platform-catalogue (#3382) Bump cryptography in /python-libraries/data-platform-catalogue Bumps [cryptography](https://github.com/pyca/cryptography) from 42.0.0 to 42.0.2. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](https://github.com/pyca/cryptography/compare/42.0.0...42.0.2) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- lib/datahub-client/poetry.lock | 66 +++++++++++++++++----------------- 1 file changed, 33 insertions(+), 33 deletions(-) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index 675d8609..5949d5a8 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -665,43 +665,43 @@ python-dateutil = "*" [[package]] name = "cryptography" -version = "42.0.0" +version = "42.0.2" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = ">=3.7" files = [ - {file = "cryptography-42.0.0-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:c640b0ef54138fde761ec99a6c7dc4ce05e80420262c20fa239e694ca371d434"}, - {file = "cryptography-42.0.0-cp37-abi3-macosx_10_12_x86_64.whl", hash = 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add list_data_product_assets method to client * tests for list_data_product_assets * up changelog and poetry version * add listDataProductAssets graphql file * lint * suggestions for graphql query * search client suggestion * add data_product_list_assets to base client * lint --- lib/datahub-client/CHANGELOG.md | 6 ++ .../data_platform_catalogue/client/base.py | 7 ++ .../client/datahub/datahub_client.py | 8 ++ .../graphql/listDataProductAssets.graphql | 94 +++++++++++++++++++ .../client/datahub/search.py | 39 ++++++++ lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 64 +++++++++++++ .../test_integration_with_datahub_server.py | 9 ++ 8 files changed, 228 insertions(+), 1 deletion(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 2eb2e509..8e605c05 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.15.0] 2024-02-20 + +### Added + +- a list_data_product_assets method the the datahub client and SearchClient + ## [0.14.0] 2024-02-19 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 5ec19358..9bfcc0c7 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -95,3 +95,10 @@ def search_facets( def list_data_products(self) -> SearchResponse: return self.search(count=500, result_types=[ResultType.DATA_PRODUCT]) + + @abstractmethod + def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: + """ + returns a list of data product children + """ + pass diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 6f85af16..f2803ada 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -378,3 +378,11 @@ def search_facets( return self.search_client.search_facets( query=query, result_types=result_types, filters=filters ) + + def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: + """ + returns a list of data product children + """ + return self.search_client.list_data_product_assets( + urn=urn, count=count, start=start + ) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql new file mode 100644 index 00000000..d1000032 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql @@ -0,0 +1,94 @@ +query dataProductDetails($urn: String!, $query: String!, $count: Int!, $start: Int!) { + listDataProductAssets( + urn: $urn + input: {query: $query, start: $start, count: $count} + ) { + start + count + total + searchResults { + entity { + type + ... on Dataset { + urn + type + platform { + name + } + relationships( + input: {types: ["DataProductContains"], direction: INCOMING, count: 10} + ) { + total + relationships { + entity { + urn + ... on DataProduct { + properties { + name + } + } + } + } + } + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + name + properties { + name + qualifiedName + description + customProperties { + key + value + } + created + lastModified + } + editableProperties { + description + } + tags { + tags { + tag { + urn + properties { + name + description + } + } + } + } + lastIngested + domain { + domain { + urn + id + properties { + name + description + } + } + } + } + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index bac15997..2d48732f 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -34,6 +34,12 @@ def __init__(self, graph: DataHubGraph): .read_text() ) + self.data_product_asset_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("listDataProductAssets.graphql") + .read_text() + ) + def search( self, query: str = "*", @@ -127,6 +133,39 @@ def search_facets( response = response["aggregateAcrossEntities"] return self._parse_facets(response.get("facets", [])) + def list_data_product_assets( + self, urn: str, count: int, start: int = 0 + ) -> SearchResponse: + """ + returns a SearchResponse containing all assets in given data product (by urn) + """ + variables = { + "urn": urn, + "query": "*", + "start": start, + "count": count, + } + try: + response = self.graph.execute_graphql( + self.data_product_asset_query, variables + ) + except GraphError as e: + raise Exception("Unable to execute listDataProductAssets query") from e + page_results = [] + for result in response["listDataProductAssets"]["searchResults"]: + entity = result["entity"] + entity_type = entity["type"] + matched_fields: dict = {} + if entity_type == "DATASET": + page_results.append(self._parse_dataset(entity, matched_fields)) + else: + raise ValueError(f"Unexpected entity type: {entity_type}") + + return SearchResponse( + total_results=response["listDataProductAssets"]["total"], + page_results=page_results, + ) + def _map_result_types(self, result_types: Sequence[ResultType]): """ Map result types to Datahub EntityTypes diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 8edb982c..8ed0d853 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.14.0" +version = "0.15.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index 8d4cc308..7a16014b 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -676,3 +676,67 @@ def test_result_with_data_product(mock_graph, searcher): ) ], ) + + +def test_list_data_product_assets(mock_graph, searcher): + datahub_response = { + "listDataProductAssets": { + "start": 0, + "count": 20, + "total": 1, + "searchResults": [ + { + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "name": "calm-pagoda-323403.jaffle_shop.customers", + "relationships": { + "total": 1, + "relationships": [ + { + "entity": { + "urn": "urn:abc", + "properties": {"name": "abc"}, + } + } + ], + }, + "properties": { + "name": "customers", + "description": "just some customers", + }, + }, + } + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.list_data_product_assets( + urn="urn:li:dataProduct:test", + start=0, + count=20, + ) + + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + matches={}, + result_type=ResultType.TABLE, + name="customers", + description="just some customers", + metadata={ + "owner": "", + "owner_email": "", + "data_products": [{"id": "urn:abc", "name": "abc"}], + "total_data_products": 1, + "domain_id": "", + "domain_name": "", + }, + tags=[], + ) + ], + ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 39c27a25..7f91bf0c 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -268,3 +268,12 @@ def test_paginated_search_results_unique(): results1 = client.search(page="1").page_results results2 = client.search(page="2").page_results assert not any(x in results1 for x in results2) + + +@runs_on_development_server +def test_list_data_product_assets_returns(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + assets = client.list_data_product_assets( + urn="urn:li:dataProduct:my_data_product", count=20 + ) + assert assets From eeecbb258a5da30d49d261c2e4c93484e37b4596 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Thu, 22 Feb 2024 13:50:09 +0000 Subject: [PATCH 30/64] Bump cryptography from 42.0.2 to 42.0.4 in /python-libraries/data-platform-catalogue (#3408) Bump cryptography in /python-libraries/data-platform-catalogue Bumps [cryptography](https://github.com/pyca/cryptography) from 42.0.2 to 42.0.4. - [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst) - [Commits](https://github.com/pyca/cryptography/compare/42.0.2...42.0.4) --- updated-dependencies: - dependency-name: cryptography dependency-type: indirect ... 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method to get glossary terms * Bumped changelog for 0.16.0 * Linting fixes * Linting changes * Shortened some lines --- lib/datahub-client/CHANGELOG.md | 10 ++- .../client/datahub/datahub_client.py | 4 + .../datahub/graphql/getGlossaryTerms.graphql | 28 +++++++ .../client/datahub/search.py | 43 +++++++++++ .../data_platform_catalogue/search_types.py | 1 + lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 74 +++++++++++++++++++ .../test_integration_with_datahub_server.py | 7 ++ 8 files changed, 166 insertions(+), 3 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getGlossaryTerms.graphql diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 8e605c05..bbf00530 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.16.0] 2024-02-20 + +### Added + +- a get_glossary method in the datahub client and SearchClient + ## [0.15.0] 2024-02-20 ### Added @@ -18,10 +24,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Changed - bugfix - search now returns correct page results, where start is -individual search result index. + individual search result index. - bugfix - `upsert_table` client method now adds dataset name to datahub. - bugfix - `upsert_table` client method no longer duplicates assets assocaited -with data product. + with data product. ## [0.13.0] 2024-02-14 diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index f2803ada..67d64ecb 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -386,3 +386,7 @@ def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: return self.search_client.list_data_product_assets( urn=urn, count=count, start=start ) + + def get_glossary_terms(self, count: int = 1000) -> SearchResponse: + """Wraps the client's glossary terms query""" + return self.search_client.get_glossary_terms(count) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getGlossaryTerms.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getGlossaryTerms.graphql new file mode 100644 index 00000000..1df2e8c8 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getGlossaryTerms.graphql @@ -0,0 +1,28 @@ +query getGlossaryTerms($count: Int!) { + searchAcrossEntities( + input: { types: GLOSSARY_TERM, query: "*", start: 0, count: $count } + ) { + start + count + total + searchResults { + entity { + ... on GlossaryTerm { + urn + properties { + name + description + } + parentNodes { + nodes { + properties { + name + description + } + } + } + } + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 2d48732f..fbbd71f0 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -39,6 +39,11 @@ def __init__(self, graph: DataHubGraph): .joinpath("listDataProductAssets.graphql") .read_text() ) + self.get_glossary_terms_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("getGlossaryTerms.graphql") + .read_text() + ) def search( self, @@ -175,6 +180,8 @@ def _map_result_types(self, result_types: Sequence[ResultType]): types.append("DATA_PRODUCT") if ResultType.TABLE in result_types: types.append("DATASET") + if ResultType.GLOSSARY_TERM in result_types: + types.append("GLOSSARY_TERM") return types def _map_filters(self, filters: Sequence[MultiSelectFilter]): @@ -335,3 +342,39 @@ def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: results[field] = options return SearchFacets(results) + + def _parse_glossary_term(self, entity) -> SearchResult: + properties, custom_properties = self._parse_properties(entity) + metadata = {"parentNodes": entity["parentNodes"]["nodes"]} + + return SearchResult( + id=entity["urn"], + result_type=ResultType.GLOSSARY_TERM, + matches={}, + name=properties["name"], + description=properties.get("description", ""), + metadata=metadata, + tags=[], + last_updated=None, + ) + + def get_glossary_terms(self, count: int = 1000) -> SearchResponse: + "Get some number of glossary terms from DataHub" + variables = {"count": count} + try: + response = self.graph.execute_graphql( + self.get_glossary_terms_query, variables + ) + except GraphError as e: + raise Exception("Unable to execute getGlossaryTerms query") from e + + page_results = [] + response = response["searchAcrossEntities"] + logger.debug(json.dumps(response, indent=2)) + + for result in response["searchResults"]: + page_results.append(self._parse_glossary_term(entity=result["entity"])) + + return SearchResponse( + total_results=response["total"], page_results=page_results + ) diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 706262a4..9976471b 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -7,6 +7,7 @@ class ResultType(Enum): DATA_PRODUCT = auto() TABLE = auto() + GLOSSARY_TERM = auto() @dataclass diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 8ed0d853..bf3e84c0 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.15.0" +version = "0.16.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index 7a16014b..68a7fe34 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -740,3 +740,77 @@ def test_list_data_product_assets(mock_graph, searcher): ) ], ) + + +def test_get_glossary_terms(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 2, + "total": 2, + "searchResults": [ + { + "entity": { + "urn": "urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + "properties": { + "name": "IAO", + "description": "Information asset owner.\n", + }, + "parentNodes": { + "nodes": [ + { + "properties": { + "name": "Data protection terms", + "description": "Data protection terms", + } + } + ] + }, + } + }, + { + "entity": { + "urn": "urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", + "properties": { + "name": "Security classification", + "description": "Only data that is 'official'", + }, + "parentNodes": {"nodes": []}, + } + }, + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.get_glossary_terms(count=2) + print(response) + assert response == SearchResponse( + total_results=2, + page_results=[ + SearchResult( + id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + name="IAO", + description="Information asset owner.\n", + metadata={ + "parentNodes": [ + { + "properties": { + "name": "Data protection terms", + "description": "Data protection terms", + } + } + ] + }, + result_type=ResultType.GLOSSARY_TERM, + ), + SearchResult( + id="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", + name="Security classification", + description="Only data that is 'official'", + metadata={"parentNodes": []}, + result_type=ResultType.GLOSSARY_TERM, + ), + ], + ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 7f91bf0c..4392d1b2 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -277,3 +277,10 @@ def test_list_data_product_assets_returns(): urn="urn:li:dataProduct:my_data_product", count=20 ) assert assets + + +@runs_on_development_server +def test_get_glossary_terms_returns(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + assets = client.get_glossary_terms(count=20) + assert assets From 1f729a8d6fe29564dafaf1fd9fbd7fa593bc8fc5 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Tue, 27 Feb 2024 11:23:59 +0000 Subject: [PATCH 32/64] Added get_glossary_terms to ABC to fix test mocking (#3463) * Added get_glossary_terms as an abstract method to fix test mocking --- lib/datahub-client/CHANGELOG.md | 6 ++++++ lib/datahub-client/data_platform_catalogue/client/base.py | 7 +++++++ lib/datahub-client/pyproject.toml | 2 +- 3 files changed, 14 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index bbf00530..710c4600 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.16.1] 2024-02-20 + +### Added + +- a get_glossary_terms to catalogue ABC for mocking in pytest + ## [0.16.0] 2024-02-20 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 9bfcc0c7..0e3d9847 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -102,3 +102,10 @@ def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: returns a list of data product children """ pass + + @abstractmethod + def get_glossary_terms(self, count: int) -> SearchResponse: + """ + returns a searchresponse of glossary terms + """ + pass diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index bf3e84c0..7c4d0956 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.16.0" +version = "0.16.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" From 8cc363d7221572db74511b138dfb8cde5658a2be Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Thu, 29 Feb 2024 09:07:09 +0000 Subject: [PATCH 33/64] use fully qualified name in upsert_table (#3468) * use fully qualified name in upsert_table * new golden files and update server test * changelog and poetry version * ad * redo the tests for qualifiedname and name * redo changelog and poetry version --- lib/datahub-client/CHANGELOG.md | 7 +++++++ .../client/datahub/datahub_client.py | 1 + lib/datahub-client/pyproject.toml | 2 +- .../tests/snapshots/datahub_create_table.json | 1 + .../snapshots/datahub_create_table_with_metadata.json | 1 + .../snapshots/datahub_create_two_tables_with_metadata.json | 2 ++ .../tests/test_integration_with_datahub_server.py | 1 + 7 files changed, 14 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 710c4600..bfd4c742 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,13 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.17.0] 2024-02-28 + +### Added + +- upsert_table now sets datset name as single table name and + `qualifiedName` as the fully qualified name we define. + ## [0.16.1] 2024-02-20 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 67d64ecb..d132909a 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -239,6 +239,7 @@ def upsert_table( dataset_properties = DatasetPropertiesClass( name=metadata.name, + qualifiedName=name, description=metadata.description, customProperties={ "sourceDatasetName": metadata.source_dataset_name, diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 7c4d0956..d31d4b5f 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.16.1" +version = "0.17.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json index 2f541e39..089f8c98 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table.json @@ -13,6 +13,7 @@ "rowCount": "1177" }, "name": "my_table", + "qualifiedName": "my_database.my_table", "description": "bla bla", "tags": [] } diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json index 3699dd72..fbbcbcf8 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -13,6 +13,7 @@ "rowCount": "1177" }, "name": "my_table", + "qualifiedName": "my_database.my_table", "description": "bla bla", "tags": [] } diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json index 6fb37172..d810525e 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -13,6 +13,7 @@ "rowCount": "1177" }, "name": "my_table", + "qualifiedName": "my_database.my_table", "description": "bla bla", "tags": [] } @@ -172,6 +173,7 @@ "rowCount": "1177" }, "name": "my_table2", + "qualifiedName": "my_database.my_table2", "description": "this is a different table", "tags": [] } diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 4392d1b2..5e4f1d6d 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -80,6 +80,7 @@ def test_upsert_test_hierarchy(): ) # check properties been loaded to datahub dataset assert dataset_properties.description == table.description + assert dataset_properties.qualifiedName == f"test_data_product_v2.{table.name}" assert dataset_properties.name == table.name assert ( dataset_properties.customProperties["sourceDatasetName"] From 7d3f5034511e333866379e23efcca56515a5a8bb Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Tue, 5 Mar 2024 09:05:20 +0000 Subject: [PATCH 34/64] Dc 3512 fqn in catalogue search (#3556) * add fqn into parsers for dataset and data product * add `fully_qualified_name` to `SearchResult` class * update tests * changelog and poetry --- lib/datahub-client/CHANGELOG.md | 9 ++++++ .../client/datahub/search.py | 2 ++ .../data_platform_catalogue/search_types.py | 1 + lib/datahub-client/poetry.lock | 32 ------------------- lib/datahub-client/pyproject.toml | 2 +- .../tests/test_datahub_search.py | 11 +++++++ 6 files changed, 24 insertions(+), 33 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index bfd4c742..fac139b4 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,15 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.18.0] 2024-03-04 + +### Added + +- `SearchResult` now returns a fully qualified name along with name + for datasets and data products. This is implemented in the clients + `search` method. We default fully_qualified_name for a data product + entity to `name` + ## [0.17.0] 2024-02-28 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index fbbd71f0..0bc63663 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -287,6 +287,7 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: result_type=ResultType.TABLE, matches=matches, name=properties.get("name", name), + fully_qualified_name=properties.get("qualifiedName", name), description=properties.get("description", ""), metadata=metadata, tags=tags, @@ -314,6 +315,7 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: result_type=ResultType.DATA_PRODUCT, matches=matches, name=properties["name"], + fully_qualified_name=properties.get("qualifiedName", properties["name"]), description=properties.get("description", ""), metadata=metadata, tags=tags, diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 9976471b..89b88b9f 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -52,6 +52,7 @@ class SearchResult: id: str result_type: ResultType name: str + fully_qualified_name: str = "" description: str = "" matches: dict[str, str] = field(default_factory=dict) metadata: dict[str, Any] = field(default_factory=dict) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index 18520283..ccaa195d 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1493,16 +1493,6 @@ files = [ {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"}, {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"}, {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"}, - 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Use of Force can be planned or unplanned and may involve various categories of control and restraint (C&R) techniques such as physical restraint or handcuffs.\n\nPlease refer to [PSO 1600](https://www.gov.uk/government/publications/use-of-force-in-prisons-pso-1600) for the current guidance.", # noqa E501 metadata={ "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", @@ -128,6 +129,7 @@ def test_dataset_result(mock_graph, searcher): "name": "calm-pagoda-323403.jaffle_shop.customers", "properties": { "name": "customers", + "qualifiedName": "jaffle_shop.customers", "customProperties": [ {"key": "StoredAsSubDirectories", "value": "False"}, { @@ -165,6 +167,7 @@ def test_dataset_result(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers", + fully_qualified_name="jaffle_shop.customers", description="", metadata={ "owner": "", @@ -200,6 +203,7 @@ def test_full_page(mock_graph, searcher): "name": "calm-pagoda-323403.jaffle_shop.customers", "properties": { "name": "customers", + "qualifiedName": "jaffle_shop.customers", }, "editableProperties": None, "tags": None, @@ -244,6 +248,7 @@ def test_full_page(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers", + fully_qualified_name="jaffle_shop.customers", description="", metadata={ "owner": "", @@ -261,6 +266,7 @@ def test_full_page(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers2", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers2", description="", metadata={ "owner": "", @@ -278,6 +284,7 @@ def test_full_page(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers3", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers3", description="", metadata={ "owner": "", @@ -337,6 +344,7 @@ def test_query_match(mock_graph, searcher): }, result_type=ResultType.TABLE, name="customers", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="", metadata={ "owner": "", @@ -397,6 +405,7 @@ def test_result_with_owner(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="", metadata={ "owner": "Shannon Lovett", @@ -663,6 +672,7 @@ def test_result_with_data_product(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="", metadata={ "owner": "", @@ -727,6 +737,7 @@ def test_list_data_product_assets(mock_graph, searcher): matches={}, result_type=ResultType.TABLE, name="customers", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="just some customers", metadata={ "owner": "", From e3a2ace02c046a2992b98d611bf1b66afa7ccf9b Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Tue, 5 Mar 2024 19:34:51 +0000 Subject: [PATCH 35/64] Fix none fqn data catalogue (#3603) * do not let fqn equal `None` * update test * changelog and poetry --- lib/datahub-client/CHANGELOG.md | 8 ++++++++ .../client/datahub/search.py | 16 ++++++++++++++-- lib/datahub-client/pyproject.toml | 2 +- lib/datahub-client/tests/test_datahub_search.py | 4 +--- 4 files changed, 24 insertions(+), 6 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index fac139b4..a7df64ca 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,14 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.18.1] 2024-03-05 + +### Changed + +- `SearchResult.fully_qualified_name` now returns `name` if datahub metadata + property `qualifiedName` has a value of `None`, which it can do in the + case of dbt ingestions. + ## [0.18.0] 2024-03-04 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 0bc63663..f0ad4566 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -282,12 +282,18 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: metadata.update(self._parse_domain(entity)) metadata.update(custom_properties) + fqn = ( + properties.get("qualifiedName", name) + if properties.get("qualifiedName") is not None + else name + ) + return SearchResult( id=entity["urn"], result_type=ResultType.TABLE, matches=matches, name=properties.get("name", name), - fully_qualified_name=properties.get("qualifiedName", name), + fully_qualified_name=fqn, description=properties.get("description", ""), metadata=metadata, tags=tags, @@ -310,12 +316,18 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: metadata.update(self._parse_domain(entity)) metadata.update(custom_properties) + fqn = ( + properties.get("qualifiedName", properties["name"]) + if properties.get("qualifiedName") is not None + else properties["name"] + ) + return SearchResult( id=entity["urn"], result_type=ResultType.DATA_PRODUCT, matches=matches, name=properties["name"], - fully_qualified_name=properties.get("qualifiedName", properties["name"]), + fully_qualified_name=fqn, description=properties.get("description", ""), metadata=metadata, tags=tags, diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 2511ec47..d03b0bba 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.18.0" +version = "0.18.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/test_datahub_search.py index 10c6d17e..6d088f1f 100644 --- a/lib/datahub-client/tests/test_datahub_search.py +++ b/lib/datahub-client/tests/test_datahub_search.py @@ -217,9 +217,7 @@ def test_full_page(mock_graph, searcher): "type": "DATASET", "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", # noqa E501 "name": "calm-pagoda-323403.jaffle_shop.customers2", - "properties": { - "name": "customers2", - }, + "properties": {"name": "customers2", "qualifiedName": None}, }, }, { From 29cd9e71b822df5eae22a953663c6dbc9d93d86c Mon Sep 17 00:00:00 2001 From: Mat Date: Wed, 6 Mar 2024 15:54:57 +0000 Subject: [PATCH 36/64] Add method for fetching schema metadata (#3604) In order to display table schemas we need a way to lookup dataset metadata in Datahub. This method fetches the schemaMetadata aspect and transforms it into a simpler structure for presentation. --- lib/datahub-client/CHANGELOG.md | 14 +- .../data_platform_catalogue/client/base.py | 7 + .../client/datahub/datahub_client.py | 26 ++++ .../datahub/graphql/getDatasetDetails.graphql | 93 ++++++++++++ .../client/datahub/graphql_helpers.py | 136 ++++++++++++++++++ .../client/datahub/search.py | 96 +++---------- lib/datahub-client/pyproject.toml | 2 +- lib/datahub-client/tests/client/__init__.py | 0 .../tests/client/datahub/__init__.py | 0 .../datahub/test_datahub_client.py} | 105 +++++++++++++- .../client/datahub/test_graphql_helpers.py | 120 ++++++++++++++++ .../datahub/test_search.py} | 0 12 files changed, 516 insertions(+), 83 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py create mode 100644 lib/datahub-client/tests/client/__init__.py create mode 100644 lib/datahub-client/tests/client/datahub/__init__.py rename lib/datahub-client/tests/{test_client_datahub.py => client/datahub/test_datahub_client.py} (64%) create mode 100644 lib/datahub-client/tests/client/datahub/test_graphql_helpers.py rename lib/datahub-client/tests/{test_datahub_search.py => client/datahub/test_search.py} (100%) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index a7df64ca..5a400c30 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.19.0] 2024-03-06 + +### Added + +- `get_table_details(urn)` method to fetch table details including column level metadata + ## [0.18.1] 2024-03-05 ### Changed @@ -20,16 +26,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Added - `SearchResult` now returns a fully qualified name along with name - for datasets and data products. This is implemented in the clients - `search` method. We default fully_qualified_name for a data product - entity to `name` + for datasets and data products. This is implemented in the clients + `search` method. We default fully_qualified_name for a data product + entity to `name` ## [0.17.0] 2024-02-28 ### Added - upsert_table now sets datset name as single table name and - `qualifiedName` as the fully qualified name we define. + `qualifiedName` as the fully qualified name we define. ## [0.16.1] 2024-02-20 diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 0e3d9847..3c6cd4eb 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -109,3 +109,10 @@ def get_glossary_terms(self, count: int) -> SearchResponse: returns a searchresponse of glossary terms """ pass + + @abstractmethod + def get_table_details(self, urn) -> TableMetadata: + """ + returns the schema and detailed information about a table + """ + pass diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index d132909a..c2db12e8 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -1,7 +1,9 @@ +from importlib.resources import files from typing import Sequence import datahub.emitter.mce_builder as mce_builder import datahub.metadata.schema_classes as schema_classes +from datahub.configuration.common import GraphError from datahub.emitter.mce_builder import make_data_platform_urn from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph @@ -32,6 +34,7 @@ SortOption, ) from ..base import BaseCatalogueClient, CatalogueError, logger +from .graphql_helpers import parse_columns, parse_properties from .search import SearchClient DATAHUB_DATA_TYPE_MAPPING = { @@ -88,6 +91,12 @@ def __init__(self, jwt_token, api_url: str, graph=None): self.graph = graph or DataHubGraph(self.server_config) self.search_client = SearchClient(self.graph) + self.dataset_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("getDatasetDetails.graphql") + .read_text() + ) + def upsert_database_service(self, platform: str = "glue", *args, **kwargs) -> str: """ Define a DataHub 'Data Platform'. This is a type of connection, e.g. 'hive' or 'glue'. @@ -391,3 +400,20 @@ def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: def get_glossary_terms(self, count: int = 1000) -> SearchResponse: """Wraps the client's glossary terms query""" return self.search_client.get_glossary_terms(count) + + def get_table_details(self, urn) -> TableMetadata: + try: + response = self.graph.execute_graphql(self.dataset_query, {"urn": urn})[ + "data" + ]["dataset"] + properties, custom_properties = parse_properties(response) + columns = parse_columns(response) + + return TableMetadata( + name=properties["name"], + description=properties.get("description", ""), + column_details=columns, + retention_period_in_days=custom_properties.get("retentionPeriodInDays"), + ) + except GraphError as e: + raise Exception("Unable to execute getDataset query") from e diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql new file mode 100644 index 00000000..526e4f55 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql @@ -0,0 +1,93 @@ +query getDatasetDetails($urn: String!) { + dataset(urn: $urn) { + platform { + name + } + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + name + properties { + name + qualifiedName + description + customProperties { + key + value + } + created + lastModified { + actor + } + } + editableProperties { + description + } + tags { + tags { + tag { + urn + properties { + name + description + } + } + } + } + lastIngested + domain { + domain { + urn + id + properties { + name + description + } + } + } + schemaMetadata { + fields { + fieldPath + label + nullable + description + type + nativeDataType + } + primaryKeys + foreignKeys { + name + foreignFields { + fieldPath + } + foreignDataset { + urn + properties { + name + qualifiedName + } + } + sourceFields { + fieldPath + } + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py new file mode 100644 index 00000000..c40f3630 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py @@ -0,0 +1,136 @@ +from collections import defaultdict +from datetime import datetime +from typing import Any, Tuple + + +def parse_owner(entity: dict[str, Any]): + """ + Parse ownership information, if it is set. + """ + ownership = entity.get("ownership") or {} + owners = [i["owner"] for i in ownership.get("owners", [])] + if owners: + properties = owners[0].get("properties") or {} + owner_email = properties.get("email", "") + owner_name = properties.get("fullName", properties.get("displayName", "")) + else: + owner_email = "" + owner_name = "" + + return owner_email, owner_name + + +def parse_last_updated(entity: dict[str, Any]) -> datetime | None: + """ + Parse the last updated timestamp, if available + """ + timestamp = entity.get("lastIngested") + if timestamp is None: + return None + return datetime.utcfromtimestamp(timestamp / 1000) + + +def parse_tags(entity: dict[str, Any]) -> list[str]: + """ + Parse tag information into a flat list of strings for displaying + as part of the search result. + """ + outer_tags = entity.get("tags") or {} + tags = [] + for tag in outer_tags.get("tags", []): + properties = tag["tag"]["properties"] + if properties: + tags.append(properties["name"]) + return tags + + +def parse_properties(entity: dict[str, Any]) -> Tuple[dict[str, Any], dict[str, Any]]: + """ + Parse properties and editableProperties into a single dictionary. + """ + properties = entity["properties"] or {} + editable_properties = entity.get("editableProperties") or {} + properties.update(editable_properties) + custom_properties = { + i["key"]: i["value"] for i in properties.get("customProperties", []) + } + return properties, custom_properties + + +def parse_domain(entity: dict[str, Any]): + metadata = {} + domain = entity.get("domain") or {} + inner_domain = domain.get("domain") or {} + metadata["domain_id"] = inner_domain.get("urn", "") + if inner_domain: + domain_properties, _ = parse_properties(inner_domain) + metadata["domain_name"] = domain_properties.get("name", "") + else: + metadata["domain_name"] = "" + return metadata + + +def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: + """ + Parse the schema metadata from Datahub into a flattened list of column + information. + + Note: The format of each column is similar to but not the same + as the format used when ingesting table metadata. + - `type` refers to the Datahub type, not AWS glue type + - `nullable`, 'isPrimaryKey` and `foreignKeys` metadata is added + """ + result = [] + + schema_metadata = entity.get("schemaMetadata", {}) + if not schema_metadata: + return [] + + primary_keys = set(schema_metadata.get("primaryKeys", ())) + + foreign_keys = defaultdict(list) + + # Attempt to match foreign keys to the main fields. + # + # Assumptions: + # - A given field may have multiple foreign keys to other datasets + # - Some foreign keys will not match on fieldPath, because fields + # may be defined using STRUCT types and foreign keys can reference + # subfields within the struct. We will simply ignore these. + for foreign_key in schema_metadata.get("foreignKeys", ()): + if not foreign_key["sourceFields"] or not foreign_key["foreignFields"]: + continue + + source_path = foreign_key["sourceFields"][0]["fieldPath"] + foreign_path = foreign_key["foreignFields"][0]["fieldPath"] + foreign_table_id = foreign_key["foreignDataset"]["urn"] + foreign_table_name = foreign_key["foreignDataset"]["properties"]["name"] + foreign_keys[source_path].append( + { + "tableId": foreign_table_id, + "fieldName": foreign_path, + "tableName": foreign_table_name, + } + ) + + for field in schema_metadata.get("fields", ()): + foreign_keys_for_field = foreign_keys[field["fieldPath"]] + + # Work out if the field is primary. + # This is an oversimplification: in the case of a composite + # primary key, we report that each component field is primary. + is_primary_key = field["fieldPath"] in primary_keys + + result.append( + { + "name": field["fieldPath"], + "description": field["description"], + "type": field["type"], + "nullable": field["nullable"], + "isPrimaryKey": is_primary_key, + "foreignKeys": foreign_keys_for_field, + } + ) + + # Sort primary keys first, then sort alphabetically + return sorted(result, key=lambda c: (0 if c["isPrimaryKey"] else 1, c["name"])) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index f0ad4566..a4bc97d0 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -1,8 +1,7 @@ import json import logging -from datetime import datetime from importlib.resources import files -from typing import Any, Sequence, Tuple +from typing import Any, Sequence from datahub.configuration.common import GraphError from datahub.ingestion.graph.client import DataHubGraph @@ -16,6 +15,13 @@ SearchResult, SortOption, ) +from .graphql_helpers import ( + parse_domain, + parse_last_updated, + parse_owner, + parse_properties, + parse_tags, +) logger = logging.getLogger(__name__) @@ -192,78 +198,14 @@ def _map_filters(self, filters: Sequence[MultiSelectFilter]): ) return result - def _parse_owner(self, entity: dict[str, Any]): - """ - Parse ownership information, if it is set. - """ - ownership = entity.get("ownership") or {} - owners = [i["owner"] for i in ownership.get("owners", [])] - if owners: - properties = owners[0].get("properties") or {} - owner_email = properties.get("email", "") - owner_name = properties.get("fullName", properties.get("displayName", "")) - else: - owner_email = "" - owner_name = "" - - return owner_email, owner_name - - def _parse_last_updated(self, entity: dict[str, Any]) -> datetime | None: - """ - Parse the last updated timestamp, if available - """ - timestamp = entity.get("lastIngested") - if timestamp is None: - return None - return datetime.utcfromtimestamp(timestamp / 1000) - - def _parse_tags(self, entity: dict[str, Any]) -> list[str]: - """ - Parse tag information into a flat list of strings for displaying - as part of the search result. - """ - outer_tags = entity.get("tags") or {} - tags = [] - for tag in outer_tags.get("tags", []): - properties = tag["tag"]["properties"] - if properties: - tags.append(properties["name"]) - return tags - - def _parse_properties( - self, entity: dict[str, Any] - ) -> Tuple[dict[str, Any], dict[str, Any]]: - """ - Parse properties and editableProperties into a single dictionary. - """ - properties = entity["properties"] or {} - editable_properties = entity.get("editableProperties") or {} - properties.update(editable_properties) - custom_properties = { - i["key"]: i["value"] for i in properties.get("customProperties", []) - } - return properties, custom_properties - - def _parse_domain(self, entity: dict[str, Any]): - metadata = {} - domain = entity.get("domain") or {} - inner_domain = domain.get("domain") or {} - metadata["domain_id"] = inner_domain.get("urn", "") - if inner_domain: - domain_properties, _ = self._parse_properties(inner_domain) - metadata["domain_name"] = domain_properties.get("name", "") - else: - metadata["domain_name"] = "" - return metadata - def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: """ Map a dataset entity to a SearchResult """ - owner_email, owner_name = self._parse_owner(entity) - properties, custom_properties = self._parse_properties(entity) - tags = self._parse_tags(entity) - last_updated = self._parse_last_updated(entity) + owner_email, owner_name = parse_owner(entity) + properties, custom_properties = parse_properties(entity) + tags = parse_tags(entity) + last_updated = parse_last_updated(entity) name = entity["name"] relationships = entity.get("relationships", {}) total_data_products = relationships.get("total", 0) @@ -279,7 +221,7 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: "total_data_products": total_data_products, "data_products": data_products, } - metadata.update(self._parse_domain(entity)) + metadata.update(parse_domain(entity)) metadata.update(custom_properties) fqn = ( @@ -304,16 +246,16 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: """ Map a data product entity to a SearchResult """ - owner_email, owner_name = self._parse_owner(entity) - properties, custom_properties = self._parse_properties(entity) - tags = self._parse_tags(entity) - last_updated = self._parse_last_updated(entity) + owner_email, owner_name = parse_owner(entity) + properties, custom_properties = parse_properties(entity) + tags = parse_tags(entity) + last_updated = parse_last_updated(entity) metadata = { "owner": owner_name, "owner_email": owner_email, "number_of_assets": properties["numAssets"], } - metadata.update(self._parse_domain(entity)) + metadata.update(parse_domain(entity)) metadata.update(custom_properties) fqn = ( @@ -358,7 +300,7 @@ def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: return SearchFacets(results) def _parse_glossary_term(self, entity) -> SearchResult: - properties, custom_properties = self._parse_properties(entity) + properties, custom_properties = parse_properties(entity) metadata = {"parentNodes": entity["parentNodes"]["nodes"]} return SearchResult( diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index d03b0bba..c2fe6fe1 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.18.1" +version = "0.19.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/__init__.py b/lib/datahub-client/tests/client/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/lib/datahub-client/tests/client/datahub/__init__.py b/lib/datahub-client/tests/client/datahub/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/lib/datahub-client/tests/test_client_datahub.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py similarity index 64% rename from lib/datahub-client/tests/test_client_datahub.py rename to lib/datahub-client/tests/client/datahub/test_datahub_client.py index 2a2435a5..5ffd507e 100644 --- a/lib/datahub-client/tests/test_client_datahub.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -1,5 +1,6 @@ from datetime import datetime from pathlib import Path +from unittest.mock import MagicMock import pytest from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient @@ -91,7 +92,7 @@ def datahub_client(self, base_mock_graph) -> DataHubCatalogueClient: @pytest.fixture def golden_file_in(self): return Path( - Path(__file__).parent / "test_resources/golden_data_product_in.json" + Path(__file__).parent / "../../test_resources/golden_data_product_in.json" ) def test_create_table_datahub( @@ -230,3 +231,105 @@ def test_create_table_and_metadata_idempotent_datahub( output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") base_mock_graph.sink_to_file(output_file) check_snapshot("datahub_create_table_with_metadata.json", output_file) + + def test_get_dataset( + self, + datahub_client, + base_mock_graph, + ): + urn = "abc" + datahub_response = { + "data": { + "dataset": { + "platform": {"name": "datahub"}, + "ownership": None, + "name": "Dataset", + "properties": { + "name": "Dataset", + "qualifiedName": None, + "description": "Dataset", + }, + "editableProperties": None, + "tags": { + "tags": [ + {"tag": {"urn": "urn:li:tag:Entity", "properties": None}} + ] + }, + "lastIngested": 1709619407814, + "domain": None, + "schemaMetadata": { + "fields": [ + { + "fieldPath": "urn", + "label": None, + "nullable": False, + "description": "The primary identifier for the dataset entity.", + "type": "STRING", + "nativeDataType": "string", + }, + { + "fieldPath": "upstreamLineage", + "label": None, + "nullable": False, + "description": "Upstream lineage of a dataset", + "type": "STRUCT", + "nativeDataType": "upstreamLineage", + }, + ], + "primaryKeys": ["urn"], + "foreignKeys": [ + { + "name": "DownstreamOf", + "foreignFields": [{"fieldPath": "urn"}], + "foreignDataset": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + "properties": { + "name": "Dataset", + "qualifiedName": None, + }, + }, + "sourceFields": [{"fieldPath": "upstreamLineage"}], + }, + ], + }, + } + } + } + base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + dataset = datahub_client.get_table_details(urn) + + assert dataset == TableMetadata( + name="Dataset", + description="Dataset", + column_details=[ + { + "name": "urn", + "type": "STRING", + "description": "The primary identifier for the dataset entity.", + "isPrimaryKey": True, + "foreignKeys": [], + "nullable": False, + }, + { + "name": "upstreamLineage", + "type": "STRUCT", + "description": "Upstream lineage of a dataset", + "foreignKeys": [ + { + "tableId": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + "fieldName": "urn", + "tableName": "Dataset", + } + ], + "isPrimaryKey": False, + "nullable": False, + }, + ], + retention_period_in_days=None, + source_dataset_name="", + where_to_access_dataset="", + data_sensitivity_level=SecurityClassification.OFFICIAL, + tags=[], + major_version=1, + ) diff --git a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py new file mode 100644 index 00000000..8e27d397 --- /dev/null +++ b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py @@ -0,0 +1,120 @@ +from data_platform_catalogue.client.datahub.graphql_helpers import parse_columns + + +def test_parse_columns_with_primary_key_and_foreign_key(): + entity = { + "schemaMetadata": { + "fields": [ + { + "fieldPath": "urn", + "label": None, + "nullable": False, + "description": "The primary identifier for the dataset entity.", + "type": "STRING", + "nativeDataType": "string", + }, + { + "fieldPath": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", + "label": None, + "nullable": False, + "description": "Upstream lineage of a dataset", + "type": "STRUCT", + "nativeDataType": "upstreamLineage", + }, + ], + "primaryKeys": ["urn"], + "foreignKeys": [ + { + "name": "DownstreamOf", + "foreignFields": [{"fieldPath": "urn"}], + "foreignDataset": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + "properties": {"name": "Dataset", "qualifiedName": None}, + }, + "sourceFields": [ + { + "fieldPath": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage" + } + ], + } + ], + } + } + + assert parse_columns(entity) == [ + { + "name": "urn", + "type": "STRING", + "isPrimaryKey": True, + "foreignKeys": [], + "nullable": False, + "description": "The primary identifier for the dataset entity.", + }, + { + "name": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", + "type": "STRUCT", + "description": "Upstream lineage of a dataset", + "nullable": False, + "isPrimaryKey": False, + "foreignKeys": [ + { + "tableId": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + "fieldName": "urn", + "tableName": "Dataset", + } + ], + }, + ] + + +def test_parse_columns_with_no_keys(): + entity = { + "schemaMetadata": { + "fields": [ + { + "fieldPath": "urn", + "label": None, + "nullable": False, + "description": "The primary identifier for the dataset entity.", + "type": "STRING", + "nativeDataType": "string", + }, + { + "fieldPath": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", + "label": None, + "nullable": False, + "description": "Upstream lineage of a dataset", + "type": "STRUCT", + "nativeDataType": "upstreamLineage", + }, + ], + "primaryKeys": [], + "foreignKeys": [], + } + } + + assert parse_columns(entity) == [ + { + "name": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", + "type": "STRUCT", + "description": "Upstream lineage of a dataset", + "nullable": False, + "isPrimaryKey": False, + "foreignKeys": [], + }, + { + "name": "urn", + "type": "STRING", + "isPrimaryKey": False, + "foreignKeys": [], + "nullable": False, + "description": "The primary identifier for the dataset entity.", + }, + ] + + +def test_parse_columns_with_no_schema(): + entity = {} + + assert parse_columns(entity) == [] + assert parse_columns(entity) == [] diff --git a/lib/datahub-client/tests/test_datahub_search.py b/lib/datahub-client/tests/client/datahub/test_search.py similarity index 100% rename from lib/datahub-client/tests/test_datahub_search.py rename to lib/datahub-client/tests/client/datahub/test_search.py From 07f9d55b8f635c797ed1bc6978bce38fbface36d Mon Sep 17 00:00:00 2001 From: Mat Date: Thu, 7 Mar 2024 14:14:46 +0000 Subject: [PATCH 37/64] Fix dodgy getDataset query (#3637) * Fix dodgy getDataset query - lastModified is a long - I'm not sure why I had it as an object - added missing end to end test - handle query returning None for primary and foreign keys * words --- lib/datahub-client/CHANGELOG.md | 6 ++ .../client/datahub/datahub_client.py | 4 +- .../datahub/graphql/getDatasetDetails.graphql | 4 +- .../client/datahub/graphql_helpers.py | 4 +- lib/datahub-client/pyproject.toml | 2 +- .../client/datahub/test_datahub_client.py | 98 +++++++++---------- .../test_integration_with_datahub_server.py | 9 ++ 7 files changed, 68 insertions(+), 59 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 5a400c30..e0ce7a8f 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,12 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.19.1] 2024-03-07 + +### Changed + +- Fix error executing getDataset query and added end-to-end test + ## [0.19.0] 2024-03-06 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index c2db12e8..915ae7b2 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -404,8 +404,8 @@ def get_glossary_terms(self, count: int = 1000) -> SearchResponse: def get_table_details(self, urn) -> TableMetadata: try: response = self.graph.execute_graphql(self.dataset_query, {"urn": urn})[ - "data" - ]["dataset"] + "dataset" + ] properties, custom_properties = parse_properties(response) columns = parse_columns(response) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql index 526e4f55..771f62d9 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql @@ -33,9 +33,7 @@ query getDatasetDetails($urn: String!) { value } created - lastModified { - actor - } + lastModified } editableProperties { description diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py index c40f3630..97296463 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py @@ -86,7 +86,7 @@ def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: if not schema_metadata: return [] - primary_keys = set(schema_metadata.get("primaryKeys", ())) + primary_keys = set(schema_metadata.get("primaryKeys") or ()) foreign_keys = defaultdict(list) @@ -97,7 +97,7 @@ def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: # - Some foreign keys will not match on fieldPath, because fields # may be defined using STRUCT types and foreign keys can reference # subfields within the struct. We will simply ignore these. - for foreign_key in schema_metadata.get("foreignKeys", ()): + for foreign_key in schema_metadata.get("foreignKeys") or (): if not foreign_key["sourceFields"] or not foreign_key["foreignFields"]: continue diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index c2fe6fe1..ef545448 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.19.0" +version = "0.19.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 5ffd507e..8d15c068 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -239,60 +239,56 @@ def test_get_dataset( ): urn = "abc" datahub_response = { - "data": { - "dataset": { - "platform": {"name": "datahub"}, - "ownership": None, + "dataset": { + "platform": {"name": "datahub"}, + "ownership": None, + "name": "Dataset", + "properties": { "name": "Dataset", - "properties": { - "name": "Dataset", - "qualifiedName": None, - "description": "Dataset", - }, - "editableProperties": None, - "tags": { - "tags": [ - {"tag": {"urn": "urn:li:tag:Entity", "properties": None}} - ] - }, - "lastIngested": 1709619407814, - "domain": None, - "schemaMetadata": { - "fields": [ - { - "fieldPath": "urn", - "label": None, - "nullable": False, - "description": "The primary identifier for the dataset entity.", - "type": "STRING", - "nativeDataType": "string", - }, - { - "fieldPath": "upstreamLineage", - "label": None, - "nullable": False, - "description": "Upstream lineage of a dataset", - "type": "STRUCT", - "nativeDataType": "upstreamLineage", - }, - ], - "primaryKeys": ["urn"], - "foreignKeys": [ - { - "name": "DownstreamOf", - "foreignFields": [{"fieldPath": "urn"}], - "foreignDataset": { - "urn": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", - "properties": { - "name": "Dataset", - "qualifiedName": None, - }, + "qualifiedName": None, + "description": "Dataset", + }, + "editableProperties": None, + "tags": { + "tags": [{"tag": {"urn": "urn:li:tag:Entity", "properties": None}}] + }, + "lastIngested": 1709619407814, + "domain": None, + "schemaMetadata": { + "fields": [ + { + "fieldPath": "urn", + "label": None, + "nullable": False, + "description": "The primary identifier for the dataset entity.", + "type": "STRING", + "nativeDataType": "string", + }, + { + "fieldPath": "upstreamLineage", + "label": None, + "nullable": False, + "description": "Upstream lineage of a dataset", + "type": "STRUCT", + "nativeDataType": "upstreamLineage", + }, + ], + "primaryKeys": ["urn"], + "foreignKeys": [ + { + "name": "DownstreamOf", + "foreignFields": [{"fieldPath": "urn"}], + "foreignDataset": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + "properties": { + "name": "Dataset", + "qualifiedName": None, }, - "sourceFields": [{"fieldPath": "upstreamLineage"}], }, - ], - }, - } + "sourceFields": [{"fieldPath": "upstreamLineage"}], + }, + ], + }, } } base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 5e4f1d6d..25f81d1e 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -285,3 +285,12 @@ def test_get_glossary_terms_returns(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) assets = client.get_glossary_terms(count=20) assert assets + + +@runs_on_development_server +def test_get_dataset(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + table = client.get_table_details( + urn="urn:li:dataset:(urn:li:dataPlatform:glue,nomis.agency_release_beds,PROD)" + ) + assert table From e625bc23778d31bcb5dfa93c9639e98c732d88f6 Mon Sep 17 00:00:00 2001 From: Mitch Dawson <86007219+mitchdawson1982@users.noreply.github.com> Date: Mon, 11 Mar 2024 09:59:20 +0000 Subject: [PATCH 38/64] Support handling of customProperties in matched fields (#3641) * Updated changlog with test details * add method to handle returning matched fields * update tests with custom property field * update catalogue version --- lib/datahub-client/CHANGELOG.md | 11 +++++++++++ .../client/datahub/search.py | 16 +++++++++++++--- lib/datahub-client/pyproject.toml | 2 +- .../tests/client/datahub/test_search.py | 5 +++++ 4 files changed, 30 insertions(+), 4 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index e0ce7a8f..e00f4fa1 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,17 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.19.2] 2024-03-07 + +### Added + +- `_get_matched_fields` static method to return matched fields including logic + for the values of custom property fields. + +### Changed + +- changed query test matches to include a customProperties field with value + ## [0.19.1] 2024-03-07 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index a4bc97d0..475ebd4c 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -99,9 +99,7 @@ def search( for result in response["searchResults"]: entity = result["entity"] entity_type = entity["type"] - matched_fields = { - i["name"]: i["value"] for i in result.get("matchedFields", []) - } + matched_fields = self._get_matched_fields(result=result) if entity_type == "DATA_PRODUCT": page_results.append(self._parse_data_product(entity, matched_fields)) @@ -114,6 +112,18 @@ def search( total_results=response["total"], page_results=page_results, facets=facets ) + @staticmethod + def _get_matched_fields(result: dict) -> dict: + fields = result.get("matchedFields", []) + matched_fields = {} + for field in fields: + name = field.get("name") + value = field.get("value") + if name == "customProperties" and value != "": + name, value = value.split("=") + matched_fields[name] = value + return matched_fields + def search_facets( self, query: str = "*", diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index ef545448..024a5e1f 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.19.1" +version = "0.19.2" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 6d088f1f..436815bc 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -314,6 +314,10 @@ def test_query_match(mock_graph, searcher): "value": "urn:li:dataset:(urn:li:dataPlatform:looker,long_tail_companions.view.customer_focused,PROD)", # noqa E501 }, {"name": "name", "value": "customer_focused"}, + { + "name": "customProperties", + "value": "sensitivityLevel=OFFICIAL", + }, ], "entity": { "type": "DATASET", @@ -339,6 +343,7 @@ def test_query_match(mock_graph, searcher): matches={ "urn": "urn:li:dataset:(urn:li:dataPlatform:looker,long_tail_companions.view.customer_focused,PROD)", # noqa E501 "name": "customer_focused", + "sensitivityLevel": "OFFICIAL", }, result_type=ResultType.TABLE, name="customers", From a98deda8b5a3bab7b213d60deac7e8d34e1f1a19 Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Mon, 18 Mar 2024 11:51:08 +0000 Subject: [PATCH 39/64] Dc 175 add upsert athena methods (#3767) * add upsert athena methods * and correct metadata obj * entity changes and new `DatabaseStatus` enum * updated and new tests * poetry and changelog * one more test * sort types * lint * more lint * add bullet point * remove security classifications not used from entities --- lib/datahub-client/CHANGELOG.md | 18 ++ .../data_platform_catalogue/__init__.py | 9 +- .../client/datahub/datahub_client.py | 236 ++++++++++++++++++ .../data_platform_catalogue/entities.py | 42 +++- lib/datahub-client/pyproject.toml | 2 +- .../client/datahub/test_datahub_client.py | 140 ++++++++++- .../datahub_create_athena_table.json | 150 +++++++++++ ...hub_create_athena_table_with_metadata.json | 100 ++++++++ .../tests/snapshots/datahub_create_table.json | 2 +- .../datahub_create_table_with_metadata.json | 2 +- ...tahub_create_two_tables_with_metadata.json | 2 +- .../test_integration_with_datahub_server.py | 78 +++++- .../test_resources/golden_database_in.json | 59 +++++ 13 files changed, 817 insertions(+), 23 deletions(-) create mode 100644 lib/datahub-client/tests/snapshots/datahub_create_athena_table.json create mode 100644 lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json create mode 100644 lib/datahub-client/tests/test_resources/golden_database_in.json diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index e00f4fa1..f9611129 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,24 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.20.0] 2024-03-15 + +### Added + +- `upsert_athena_database` and `upsert_athena_table` methods to + `DataHubCatalogueClient` - to register/update databases or tables in + datahub. These methods do not create a domain if it does not exist. +- `DatabaseMetadata` class to `entities.py` - for defining metadata for an + athena database +- `DatabaseStatus` enum to `entities.py` +- 2 custom exceptions in `datahub_client.py` for invalid domains and missing metadata. + +### Changed + +- `entities.TableMetadata` to have some optional properties to the class - + `parent_database_name`, `domain`, `row_count` +- `entities.SecurityClassification` to remove classicifation we will not be using. + ## [0.19.2] 2024-03-07 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py index d0a34b65..4155a3e7 100644 --- a/lib/datahub-client/data_platform_catalogue/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/__init__.py @@ -1,3 +1,8 @@ from .client import CatalogueError, ReferencedEntityMissing # noqa: F401 -from .entities import DataProductMetadata # noqa: F401 -from .entities import CatalogueMetadata, DataLocation, TableMetadata # noqa: F401 +from .entities import ( # noqa: F401 + CatalogueMetadata, + DatabaseMetadata, + DataLocation, + DataProductMetadata, + TableMetadata, +) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 915ae7b2..5099583b 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -7,8 +7,15 @@ from datahub.emitter.mce_builder import make_data_platform_urn from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph +from datahub.ingestion.source.common.subtypes import ( + DatasetContainerSubTypes, + DatasetSubTypes, +) +from datahub.metadata.com.linkedin.pegasus2avro.common import DataPlatformInstance from datahub.metadata.schema_classes import ( ChangeTypeClass, + ContainerClass, + ContainerPropertiesClass, DataProductAssociationClass, DataProductPropertiesClass, DatasetPropertiesClass, @@ -18,10 +25,12 @@ SchemaFieldClass, SchemaFieldDataTypeClass, SchemaMetadataClass, + SubTypesClass, ) from ...entities import ( CatalogueMetadata, + DatabaseMetadata, DataLocation, DataProductMetadata, TableMetadata, @@ -55,6 +64,19 @@ } +class InvalidDomain(Exception): + """ + Exception thrown when a domain does not exist + """ + + +class MissingDatabaseMetadata(Exception): + """ + Exception thrown when a database is attempted to be ingested without + a given metadata specification + """ + + class DataHubCatalogueClient(BaseCatalogueClient): """Client for pushing metadata to the DataHub catalogue. @@ -97,6 +119,14 @@ def __init__(self, jwt_token, api_url: str, graph=None): .read_text() ) + def check_entity_exists_by_urn(self, urn: str | None): + if urn is not None: + exists = self.graph.exists(entity_urn=urn) + else: + exists = False + + return exists + def upsert_database_service(self, platform: str = "glue", *args, **kwargs) -> str: """ Define a DataHub 'Data Platform'. This is a type of connection, e.g. 'hive' or 'glue'. @@ -146,6 +176,212 @@ def create_domain( return domain_urn + def upsert_athena_database(self, metadata: DatabaseMetadata) -> str: + """ + Define a database. Must belong to a domain + """ + metadata_dict = dict(metadata.__dict__) + metadata_dict.pop("version") + metadata_dict.pop("owner") + metadata_dict.pop("tags") + + name = metadata_dict.pop("name") + description = metadata_dict.pop("description") + + database_urn = "urn:li:container:" + "".join(name.split()) + + domain = metadata_dict.pop("domain") + domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain) + + # domains are to be controlled and limited so we dont want to create one + # when it doesn't exist + domain_exists = self.check_entity_exists_by_urn(domain_urn) + if not domain_exists: + raise InvalidDomain( + f"{domain} does not exist in datahub - please align data to an existing domain" + ) + + database_domain = DomainsClass(domains=[domain_urn]) + + if domain_urn is not None: + metadata_event = MetadataChangeProposalWrapper( + entityType="container", + changeType=ChangeTypeClass.UPSERT, + entityUrn=database_urn, + aspect=database_domain, + ) + self.graph.emit(metadata_event) + logger.info(f"Database {name} associated with domain {domain}") + + database_properties = ContainerPropertiesClass( + customProperties={key: str(val) for key, val in metadata_dict.items()}, + description=description, + name=name, + ) + metadata_event = MetadataChangeProposalWrapper( + entityType="container", + changeType=ChangeTypeClass.UPSERT, + entityUrn=database_urn, + aspect=database_properties, + ) + self.graph.emit(metadata_event) + logger.info(f"Properties updated for Database {name} ") + + # set platform to athena + metadata_event = MetadataChangeProposalWrapper( + entityUrn=database_urn, + aspect=DataPlatformInstance( + platform="urn:li:dataPlatform:athena", + ), + ) + self.graph.emit(metadata_event) + logger.info(f"Platform updated for Database {name} ") + + # container type update + metadata_event = MetadataChangeProposalWrapper( + entityUrn=database_urn, + aspect=SubTypesClass(typeNames=[DatasetContainerSubTypes.DATABASE]), + ) + self.graph.emit(metadata_event) + logger.info(f"Type updated for Database {name} ") + + return database_urn + + def upsert_athena_table( + self, + metadata: TableMetadata, + database_metadata: DatabaseMetadata | None = None, + ) -> str: + if not metadata.parent_database_name: + raise ValueError("parent_database_name needs to be set in TableMetadata") + + fully_qualified_name = f"{metadata.parent_database_name}.{metadata.name}" + + dataset_urn = mce_builder.make_dataset_urn( + platform="athena", name=fully_qualified_name, env="PROD" + ) + # jscpd:ignore-start + dataset_properties = DatasetPropertiesClass( + name=metadata.name, + qualifiedName=fully_qualified_name, + description=metadata.description, + customProperties={ + "sourceDatasetName": metadata.source_dataset_name, + "whereToAccessDataset": metadata.where_to_access_dataset, + "sensitivityLevel": metadata.data_sensitivity_level.name, + **( + {"rowCount": str(metadata.row_count)} + if metadata.row_count is not None + else {} + ), + }, + ) + + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=dataset_properties, + ) + self.graph.emit(metadata_event) + + dataset_schema_properties = SchemaMetadataClass( + schemaName=metadata.name, + platform="urn:li:dataPlatform:athena", + version=metadata.major_version, + hash="", + platformSchema=OtherSchemaClass(rawSchema=""), + fields=[ + SchemaFieldClass( + fieldPath=f"{column['name']}", + type=SchemaFieldDataTypeClass( + type=DATAHUB_DATA_TYPE_MAPPING[column["type"]] + ), + nativeDataType=column["type"], + description=column["description"], + ) + for column in metadata.column_details + ], + ) + + metadata_event = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=dataset_schema_properties, + ) + self.graph.emit(metadata_event) + + # set dataset type to table + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=SubTypesClass(typeNames=[DatasetSubTypes.TABLE]), + ) + + self.graph.emit(metadata_event) + + if metadata.tags: + tags_to_add = mce_builder.make_global_tag_aspect_with_tag_list( + tags=metadata.tags + ) + event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=tags_to_add, + ) + self.graph.emit(event) + # jscpd:ignore-end + + database_urn = "urn:li:container:" + "".join( + metadata.parent_database_name.split() + ) + + database_exists = self.check_entity_exists_by_urn(urn=database_urn) + + if not database_exists and database_metadata: + database_urn = self.upsert_athena_database(metadata=database_metadata) + domain_urn = self.graph.get_domain_urn_by_name( + domain_name=database_metadata.domain + ) + elif not database_exists and not database_metadata: + raise MissingDatabaseMetadata( + "DatabaseMetadata object needs to be passed in to create a database" + ) + + # add dataset to database + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=ContainerClass(container=database_urn), + ) + + self.graph.emit(metadata_event) + + # add domain to table - tables inherit the domain of parent database if not given + if metadata.domain: + domain_urn = self.graph.get_domain_urn_by_name(domain_name=metadata.domain) + else: + domain_urn = self.graph.get_aspect( + entity_urn=database_urn, aspect_type=DomainsClass + ).domains[0] + + domain_exists = self.check_entity_exists_by_urn(domain_urn) + if not domain_exists: + raise InvalidDomain( + f"{metadata.domain} does not exist in datahub - please align data to an existing domain" + ) + + if domain_urn is not None: + table_domain = DomainsClass(domains=[domain_urn]) + metadata_event = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=table_domain, + ) + + self.graph.emit(metadata_event) + + return dataset_urn + def upsert_data_product(self, metadata: DataProductMetadata): """ Define a data product. Must belong to a domain diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index 0d28f3cd..895f46c5 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -32,6 +32,12 @@ class DataProductStatus(Enum): RETIRED = auto() +class DatabaseStatus(Enum): + PROD = auto() + PREPROD = auto() + DEV = auto() + + @dataclass class DataProductMetadata: name: str @@ -92,8 +98,6 @@ def from_data_product_metadata_dict(metadata: dict, version, owner_id: str): class SecurityClassification(Enum): OFFICIAL = auto() - SECRET = auto() - TOP_SECRET = auto() @dataclass @@ -102,11 +106,14 @@ class TableMetadata: description: str column_details: list retention_period_in_days: int | None + domain: str | None = None + parent_database_name: str | None = None source_dataset_name: str = "" where_to_access_dataset: str = "" data_sensitivity_level: SecurityClassification = SecurityClassification.OFFICIAL tags: list[str] = field(default_factory=list) major_version: int = 1 + row_count: int | None = None @staticmethod def from_data_product_schema_dict( @@ -136,3 +143,34 @@ def from_data_product_schema_dict( ) return new_metadata + + +# jscpd:ignore-start +@dataclass +class DatabaseMetadata: + """ + For source system databases - currently matches DataProductMetadata + but will need to be revisted and refined potentially + """ + + name: str + description: str + version: str + owner: str + owner_display_name: str + maintainer: str | None + maintainer_display_name: str | None + email: str + retention_period_in_days: int + domain: str + subdomain: str | None + dpia_required: bool + dpia_location: str | None + last_updated: datetime + creation_date: datetime + s3_location: str | None + status: DataProductStatus = DataProductStatus.DRAFT + tags: list[str] = field(default_factory=list) + + +# jscpd:ignore-end diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 024a5e1f..891e23d5 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.19.2" +version = "0.20.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 8d15c068..2c5aee16 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -1,11 +1,17 @@ from datetime import datetime from pathlib import Path -from unittest.mock import MagicMock +from unittest.mock import MagicMock, patch import pytest -from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient +from data_platform_catalogue.client.datahub.datahub_client import ( + DataHubCatalogueClient, + InvalidDomain, + MissingDatabaseMetadata, +) from data_platform_catalogue.entities import ( CatalogueMetadata, + DatabaseMetadata, + DatabaseStatus, DataLocation, DataProductMetadata, DataProductStatus, @@ -53,6 +59,29 @@ def data_product(self): tags=["test"], ) + @pytest.fixture + def database(self): + return DatabaseMetadata( + name="my_database", + description="little test db", + version="v1.0.0", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", + email="justice@justice.gov.uk", + status=DatabaseStatus.PROD.name, + retention_period_in_days=365, + domain="LAA", + subdomain="Legal Aid", + dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", + tags=["test"], + ) + @pytest.fixture def table(self): return TableMetadata( @@ -65,7 +94,9 @@ def table(self): retention_period_in_days=365, source_dataset_name="my_source_table", where_to_access_dataset="s3://databucket/table1", - data_sensitivity_level=SecurityClassification.TOP_SECRET, + data_sensitivity_level=SecurityClassification.OFFICIAL, + parent_database_name="my_database", + domain="LAA", ) @pytest.fixture @@ -90,11 +121,17 @@ def datahub_client(self, base_mock_graph) -> DataHubCatalogueClient: ) @pytest.fixture - def golden_file_in(self): + def golden_file_in_dp(self): return Path( Path(__file__).parent / "../../test_resources/golden_data_product_in.json" ) + @pytest.fixture + def golden_file_in_db(self): + return Path( + Path(__file__).parent / "../../test_resources/golden_database_in.json" + ) + def test_create_table_datahub( self, datahub_client, @@ -102,13 +139,13 @@ def test_create_table_datahub( table, tmp_path, check_snapshot, - golden_file_in, + golden_file_in_dp, ): """ Case where we just create a dataset (no data product) """ mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in) + mock_graph.import_file(golden_file_in_dp) fqn = datahub_client.upsert_table( metadata=table, @@ -130,13 +167,13 @@ def test_create_table_with_metadata_datahub( base_mock_graph, tmp_path, check_snapshot, - golden_file_in, + golden_file_in_dp, ): """ Case where we create a dataset, data product and domain """ mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in) + mock_graph.import_file(golden_file_in_dp) fqn = datahub_client.upsert_table( metadata=table, @@ -166,14 +203,14 @@ def test_create_two_tables_with_metadata( base_mock_graph, tmp_path, check_snapshot, - golden_file_in, + golden_file_in_dp, ): """ Case where we create a dataset, data product and domain """ mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in) + mock_graph.import_file(golden_file_in_dp) fqn = datahub_client.upsert_table( metadata=table, @@ -205,13 +242,13 @@ def test_create_table_and_metadata_idempotent_datahub( base_mock_graph, tmp_path, check_snapshot, - golden_file_in, + golden_file_in_dp, ): """ `create_table` should work even if the entities already exist in the metadata graph. """ mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in) + mock_graph.import_file(golden_file_in_dp) datahub_client.upsert_table( metadata=table, @@ -329,3 +366,82 @@ def test_get_dataset( tags=[], major_version=1, ) + + def test_create_athena_database_and_table( + self, + datahub_client, + base_mock_graph, + database, + table, + tmp_path, + check_snapshot, + golden_file_in_db, + ): + """ + Case where we create separate database and table + """ + mock_graph = base_mock_graph + mock_graph.import_file(golden_file_in_db) + with patch( + "data_platform_catalogue.client.datahub.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + ) as mock_exists: + mock_exists.return_value = True + fqn_db = datahub_client.upsert_athena_database(metadata=database) + fqn_t = datahub_client.upsert_athena_table(metadata=table) + + fqn_db_out = "urn:li:container:my_database" + assert fqn_db == fqn_db_out + + fqn_t_out = ( + "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)" + ) + assert fqn_t == fqn_t_out + + output_file = Path(tmp_path / "datahub_create_athena_table.json") + base_mock_graph.sink_to_file(output_file) + check_snapshot("datahub_create_athena_table.json", output_file) + + def test_create_athena_table_with_metadata( + self, + datahub_client, + table, + database, + base_mock_graph, + tmp_path, + check_snapshot, + golden_file_in_db, + ): + """ + Case where we create a dataset (athena table) and container (athena database) + via upsert_athena_table method + """ + mock_graph = base_mock_graph + mock_graph.import_file(golden_file_in_db) + + with patch( + "data_platform_catalogue.client.datahub.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + ) as mock_exists: + mock_exists.return_value = True + fqn = datahub_client.upsert_athena_table( + metadata=table, + database_metadata=database, + ) + fqn_out = ( + "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)" + ) + + assert fqn == fqn_out + + output_file = Path(tmp_path / "datahub_create_athena_table_with_metadata.json") + base_mock_graph.sink_to_file(output_file) + check_snapshot("datahub_create_athena_table_with_metadata.json", output_file) + + def test_domain_does_not_exist_error(self, datahub_client, database): + with pytest.raises(InvalidDomain): + datahub_client.upsert_athena_database(metadata=database) + + def test_database_not_exist_with_no_metadata_given_error( + self, datahub_client, table + ): + with pytest.raises(MissingDatabaseMetadata): + datahub_client.upsert_athena_table(metadata=table) diff --git a/lib/datahub-client/tests/snapshots/datahub_create_athena_table.json b/lib/datahub-client/tests/snapshots/datahub_create_athena_table.json new file mode 100644 index 00000000..906198e6 --- /dev/null +++ b/lib/datahub-client/tests/snapshots/datahub_create_athena_table.json @@ -0,0 +1,150 @@ +[ +{ + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "owner_display_name": "April Gonzalez", + "maintainer": "j.shelvey@digital.justice.gov.uk", + "maintainer_display_name": "Jonjo Shelvey", + "email": "justice@justice.gov.uk", + "retention_period_in_days": "365", + "subdomain": "Legal Aid", + "dpia_required": "False", + "dpia_location": "None", + "last_updated": "2020-05-17 00:00:00", + "creation_date": "2020-05-17 00:00:00", + "s3_location": "s3://databucket/", + "status": "PROD" + }, + "name": "my_database", + "description": "little test db" + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Database" + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetProperties", + "aspect": { + "json": { + "customProperties": { + "sourceDatasetName": "my_source_table", + "whereToAccessDataset": "s3://databucket/table1", + "sensitivityLevel": "OFFICIAL" + }, + "name": "my_table", + "qualifiedName": "my_database.my_table", + "description": "bla bla", + "tags": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "schemaMetadata", + "aspect": { + "json": { + "schemaName": "my_table", + "platform": "urn:li:dataPlatform:athena", + "version": 1, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "foo", + "nullable": false, + "description": "a", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "bar", + "nullable": false, + "description": "b", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "int", + "recursive": false, + "isPartOfKey": false + } + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Table" + ] + } + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:athena" + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:my_database" + } + } +} +] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json new file mode 100644 index 00000000..356be2f7 --- /dev/null +++ b/lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json @@ -0,0 +1,100 @@ +[ +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetProperties", + "aspect": { + "json": { + "customProperties": { + "sourceDatasetName": "my_source_table", + "whereToAccessDataset": "s3://databucket/table1", + "sensitivityLevel": "OFFICIAL" + }, + "name": "my_table", + "qualifiedName": "my_database.my_table", + "description": "bla bla", + "tags": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "schemaMetadata", + "aspect": { + "json": { + "schemaName": "my_table", + "platform": "urn:li:dataPlatform:athena", + "version": 1, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "foo", + "nullable": false, + "description": "a", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "string", + "recursive": false, + "isPartOfKey": false + }, + { + "fieldPath": "bar", + "nullable": false, + "description": "b", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "int", + "recursive": false, + "isPartOfKey": false + } + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Table" + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:my_database" + } + } +} +] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json index 089f8c98..75a4dd6b 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table.json @@ -9,7 +9,7 @@ "customProperties": { "sourceDatasetName": "my_source_table", "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "TOP_SECRET", + "sensitivityLevel": "OFFICIAL", "rowCount": "1177" }, "name": "my_table", diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json index fbbcbcf8..833a67bb 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json @@ -9,7 +9,7 @@ "customProperties": { "sourceDatasetName": "my_source_table", "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "TOP_SECRET", + "sensitivityLevel": "OFFICIAL", "rowCount": "1177" }, "name": "my_table", diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json index d810525e..d9fe0634 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json @@ -9,7 +9,7 @@ "customProperties": { "sourceDatasetName": "my_source_table", "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "TOP_SECRET", + "sensitivityLevel": "OFFICIAL", "rowCount": "1177" }, "name": "my_table", diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 25f81d1e..18e0b9b5 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -12,9 +12,13 @@ from datetime import datetime import pytest -from data_platform_catalogue import DataProductMetadata, TableMetadata +from data_platform_catalogue import DatabaseMetadata, DataProductMetadata, TableMetadata from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient -from data_platform_catalogue.entities import DataLocation, DataProductStatus +from data_platform_catalogue.entities import ( + DatabaseStatus, + DataLocation, + DataProductStatus, +) from data_platform_catalogue.search_types import MultiSelectFilter, ResultType from datahub.metadata.schema_classes import DatasetPropertiesClass, SchemaMetadataClass @@ -24,7 +28,7 @@ @runs_on_development_server -def test_upsert_test_hierarchy(): +def test_data_product_upsert_test_hierarchy(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) data_product = DataProductMetadata( @@ -294,3 +298,71 @@ def test_get_dataset(): urn="urn:li:dataset:(urn:li:dataPlatform:glue,nomis.agency_release_beds,PROD)" ) assert table + + +@runs_on_development_server +def test_athena_upsert_test_hierarchy(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + + database = DatabaseMetadata( + name="my_database", + description="testing", + version="v1.0.0", + owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + owner_display_name="April Gonzalez", + maintainer="j.shelvey@digital.justice.gov.uk", + maintainer_display_name="Jonjo Shelvey", + email="justice@justice.gov.uk", + status=DatabaseStatus.PROD.name, + retention_period_in_days=365, + domain="prison", + subdomain=None, + dpia_required=False, + dpia_location=None, + last_updated=datetime(2020, 5, 17), + creation_date=datetime(2020, 5, 17), + s3_location="s3://databucket/", + tags=["test"], + ) + + table = TableMetadata( + name="test_table", + parent_database_name="my_database", + description="bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days=365, + where_to_access_dataset="analytical_platform", + tags=["test"], + ) + + table_fqn = client.upsert_athena_table( + metadata=table, + database_metadata=database, + ) + assert ( + table_fqn + == "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.test_table,PROD)" + ) + + # Ensure data went through + assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) + assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) + + dataset_properties = client.graph.get_aspect( + table_fqn, aspect_type=DatasetPropertiesClass + ) + # check properties been loaded to datahub dataset + assert dataset_properties.description == table.description + assert dataset_properties.qualifiedName == f"{database.name}.{table.name}" + assert dataset_properties.name == table.name + assert ( + dataset_properties.customProperties["sourceDatasetName"] + == table.source_dataset_name + ) + assert ( + dataset_properties.customProperties["whereToAccessDataset"] + == table.where_to_access_dataset + ) diff --git a/lib/datahub-client/tests/test_resources/golden_database_in.json b/lib/datahub-client/tests/test_resources/golden_database_in.json new file mode 100644 index 00000000..64d93b96 --- /dev/null +++ b/lib/datahub-client/tests/test_resources/golden_database_in.json @@ -0,0 +1,59 @@ +[ + { + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "version": "2.0", + "dpia": "false" + }, + "externalUrl": "https://github.com/datahub-project/datahub", + "name": "my_database", + "description": "little test db", + "assets": [] + } + } + }, + { + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:LAA" + ] + } + } + }, + { + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [ + { + "tag": "urn:li:tag:awesome" + } + ] + } + } + }, + { + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } + } +] From 7faebfc353aac1ab7d8e62e141178fca36713936 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Tue, 19 Mar 2024 11:14:51 +0000 Subject: [PATCH 40/64] Fmd-149-charts (#3772) * Added charts to graphQL queries * Added ChartMetadata class * Added chart ResultType * Added chart parsing to search * Added get_chart_details method to DataHub client * Applied linting corrections * Removed stray print statements --- .../data_platform_catalogue/client/base.py | 8 +++ .../client/datahub/datahub_client.py | 23 +++++++ .../datahub/graphql/getChartDetails.graphql | 41 +++++++++++++ .../client/datahub/graphql/search.graphql | 36 +++++++++++ .../client/datahub/search.py | 21 +++++++ .../data_platform_catalogue/entities.py | 8 +++ .../data_platform_catalogue/search_types.py | 1 + .../client/datahub/test_datahub_client.py | 29 +++++++++ .../tests/client/datahub/test_search.py | 60 +++++++++++++++++++ .../test_integration_with_datahub_server.py | 7 +++ 10 files changed, 234 insertions(+) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index 3c6cd4eb..d5e8c10c 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -4,6 +4,7 @@ from ..entities import ( CatalogueMetadata, + ChartMetadata, DataLocation, DataProductMetadata, TableMetadata, @@ -116,3 +117,10 @@ def get_table_details(self, urn) -> TableMetadata: returns the schema and detailed information about a table """ pass + + @abstractmethod + def get_chart_details(self, urn) -> ChartMetadata: + """ + returns detailed information about a chart + """ + pass diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 5099583b..ceb72720 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -30,6 +30,7 @@ from ...entities import ( CatalogueMetadata, + ChartMetadata, DatabaseMetadata, DataLocation, DataProductMetadata, @@ -118,6 +119,11 @@ def __init__(self, jwt_token, api_url: str, graph=None): .joinpath("getDatasetDetails.graphql") .read_text() ) + self.chart_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("getChartDetails.graphql") + .read_text() + ) def check_entity_exists_by_urn(self, urn: str | None): if urn is not None: @@ -593,6 +599,7 @@ def search( result_types: Sequence[ResultType] = ( ResultType.DATA_PRODUCT, ResultType.TABLE, + ResultType.CHART, ), filters: Sequence[MultiSelectFilter] = (), sort: SortOption | None = None, @@ -615,6 +622,7 @@ def search_facets( result_types: Sequence[ResultType] = ( ResultType.DATA_PRODUCT, ResultType.TABLE, + ResultType.CHART, ), filters: Sequence[MultiSelectFilter] = (), ) -> SearchFacets: @@ -653,3 +661,18 @@ def get_table_details(self, urn) -> TableMetadata: ) except GraphError as e: raise Exception("Unable to execute getDataset query") from e + + def get_chart_details(self, urn) -> ChartMetadata: + try: + response = self.graph.execute_graphql(self.chart_query, {"urn": urn})[ + "chart" + ] + properties, custom_properties = parse_properties(response) + + return ChartMetadata( + name=properties["name"], + description=properties.get("description", ""), + external_url=properties["externalUrl"], + ) + except GraphError as e: + raise Exception("Unable to execute getDataset query") from e diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql new file mode 100644 index 00000000..65874bfa --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql @@ -0,0 +1,41 @@ +query getChartDetails($urn: String!) { + chart(urn: $urn) { + urn + type + platform { + name + } + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + properties { + name + description + externalUrl + customProperties { + key + value + } + lastModified { + time + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql index 737d6695..a6495efa 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -54,6 +54,42 @@ query Search( } entity { type + ... on Chart { + urn + type + platform { + name + } + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + properties { + name + description + externalUrl + customProperties { + key + value + } + } + } ... on Dataset { urn type diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 475ebd4c..65311cdb 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -59,6 +59,7 @@ def search( result_types: Sequence[ResultType] = ( ResultType.DATA_PRODUCT, ResultType.TABLE, + ResultType.CHART, ), filters: Sequence[MultiSelectFilter] = (), sort: SortOption | None = None, @@ -105,6 +106,8 @@ def search( page_results.append(self._parse_data_product(entity, matched_fields)) elif entity_type == "DATASET": page_results.append(self._parse_dataset(entity, matched_fields)) + elif entity_type == "CHART": + page_results.append(self._parse_chart(entity, matched_fields)) else: raise ValueError(f"Unexpected entity type: {entity_type}") @@ -198,6 +201,9 @@ def _map_result_types(self, result_types: Sequence[ResultType]): types.append("DATASET") if ResultType.GLOSSARY_TERM in result_types: types.append("GLOSSARY_TERM") + if ResultType.CHART in result_types: + types.append("CHART") + return types def _map_filters(self, filters: Sequence[MultiSelectFilter]): @@ -286,6 +292,21 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: last_updated=last_updated, ) + def _parse_chart(self, entity: dict[str, Any], matches) -> SearchResult: + properties, custom_properties = parse_properties(entity) + last_updated = parse_last_updated(entity) + + return SearchResult( + id=entity["urn"], + result_type=ResultType.CHART, + matches=matches, + name=properties["name"], + fully_qualified_name=properties["name"], + description=properties.get("description", ""), + metadata=custom_properties, + last_updated=last_updated, + ) + def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: """ Parse the facets and aggregate information from the query results diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index 895f46c5..af9d1fee 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -174,3 +174,11 @@ class DatabaseMetadata: # jscpd:ignore-end + + +@dataclass +class ChartMetadata: + name: str + description: str + external_url: str + tags: list[str] = field(default_factory=list) diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 89b88b9f..e3b6b2b0 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -8,6 +8,7 @@ class ResultType(Enum): DATA_PRODUCT = auto() TABLE = auto() GLOSSARY_TERM = auto() + CHART = auto() @dataclass diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 2c5aee16..e0c82533 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -10,6 +10,7 @@ ) from data_platform_catalogue.entities import ( CatalogueMetadata, + ChartMetadata, DatabaseMetadata, DatabaseStatus, DataLocation, @@ -367,6 +368,34 @@ def test_get_dataset( major_version=1, ) + def test_get_chart_details(self, datahub_client, base_mock_graph): + urn = "urn:li:chart:(justice-data,absconds)" + datahub_response = { + "chart": { + "urn": "urn:li:chart:(justice-data,absconds)", + "type": "CHART", + "platform": {"name": "justice-data"}, + "relationships": {"total": 0, "relationships": []}, + "ownership": None, + "properties": { + "name": "Absconds", + "externalUrl": "https://data.justice.gov.uk/prisons/public-protection/absconds", + "description": "a test description", + "customProperties": [], + "lastModified": {"time": 0}, + }, + }, + "extensions": {}, + } + base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + chart = datahub_client.get_chart_details(urn) + assert chart == ChartMetadata( + name="Absconds", + description="a test description", + external_url="https://data.justice.gov.uk/prisons/public-protection/absconds", + ) + def test_create_athena_database_and_table( self, datahub_client, diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 436815bc..9b328289 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -828,3 +828,63 @@ def test_get_glossary_terms(mock_graph, searcher): ), ], ) + + +def test_search_for_charts(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "insights": [], + "matchedFields": [ + { + "name": "urn", + "value": "urn:li:chart:(justice-data,absconds)", + }, + { + "name": "description", + "value": "test", + }, + {"name": "title", "value": "absconds"}, + {"name": "title", "value": "Absconds"}, + ], + "entity": { + "type": "CHART", + "urn": "urn:li:chart:(justice-data,absconds)", + "platform": {"name": "justice-data"}, + "ownership": None, + "properties": { + "name": "Absconds", + "description": "test", + "externalUrl": "https://data.justice.gov.uk/prisons/public-protection/absconds", + "customProperties": [], + }, + }, + } + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:chart:(justice-data,absconds)", + name="Absconds", + fully_qualified_name="Absconds", + description="test", + matches={ + "urn": "urn:li:chart:(justice-data,absconds)", + "description": "test", + "title": "Absconds", + }, + result_type=ResultType.CHART, + ) + ], + ) diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 18e0b9b5..3612b0d3 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -291,6 +291,13 @@ def test_get_glossary_terms_returns(): assert assets +@runs_on_development_server +def test_get_chart(): + client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + table = client.get_chart_details(urn="urn:li:chart:(justice-data,absconds)") + assert table + + @runs_on_development_server def test_get_dataset(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) From a312363e1b591ae61465f39c0437019ff4d5a022 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Tue, 19 Mar 2024 14:09:05 +0000 Subject: [PATCH 41/64] v0.21.0 (#3781) * v0.21.0 * Applied suggestions from code review --- lib/datahub-client/CHANGELOG.md | 14 ++++++++++++++ lib/datahub-client/pyproject.toml | 2 +- 2 files changed, 15 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index f9611129..19aaf5c0 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,20 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.21.0] 2023-03-19 + +### Added + +- A ChartMetadata class with very limited attributes +- ResultType.CHART +- A GraphQL query for chart details +- SearchClient._parse_chart, incorporated chart parsing into the normal search method +- DataHubCatalogueClient.get_chart_details for the chart display page + +### Changed + +- Altered GraphQL search query to include chart parsing + ## [0.20.0] 2024-03-15 ### Added diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 891e23d5..ccaeb2ab 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.20.0" +version = "0.21.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" From 5f655f27a53755afb6d9448e2600ee6a4f9e403b Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Thu, 21 Mar 2024 13:19:15 +0000 Subject: [PATCH 42/64] Dc 156 add container entities (#3790) * graphql query to list container entities * add ResultType.DATABASE enum * add container to search graphql query and entity sub type * add containers to search and new list_database_tables method to client * update test_search * handle when entity subtype returned is null * add more useful properties to getDatasetDetails.graphql * add `parse_relations()` to helpers * expand TableMetadata class to hold more useful properties * make `get_table_details` return more metadata properties for a tbale * `_parse_dataset()` made more generic to not be data product specific * update tests for search and client * some lint * changelog and poetry update * language * make the relationships TableMetadata property clearer * lint types * for suggestion re. relationships * make _parse_types_and_subtypes function re. suggestion * lint * reduce fqn duplication with function * whitespace suggestion * chaneglog update --- lib/datahub-client/CHANGELOG.md | 23 ++ .../data_platform_catalogue/client/base.py | 9 + .../client/datahub/datahub_client.py | 44 +++- .../datahub/graphql/getDatasetDetails.graphql | 51 ++++ .../graphql/listContainerEntities.graphql | 36 +++ .../client/datahub/graphql/search.graphql | 59 +++++ .../client/datahub/graphql_helpers.py | 21 ++ .../client/datahub/search.py | 136 ++++++++-- .../data_platform_catalogue/entities.py | 16 +- .../data_platform_catalogue/search_types.py | 1 + lib/datahub-client/pyproject.toml | 2 +- .../client/datahub/test_datahub_client.py | 23 +- .../client/datahub/test_graphql_helpers.py | 34 ++- .../tests/client/datahub/test_search.py | 233 ++++++++++++++++-- 14 files changed, 637 insertions(+), 51 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listContainerEntities.graphql diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 19aaf5c0..2e440a89 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,29 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.22.0] 2023-03-19 + +### Added + +- New GraphQL query, `listContainerEntities.graphql` that lists all datasets in a + given container +- `ResultType.DATABASE` enum to entities +- `RelationshipType` enum and `RelatedEntity` dataclass to entities +- The datahub container entity to the existing search GraphQL query +- new method to search.py, `SearchClient.list_database_tables` which uses + `listContainerEntities.graphql` +- `_parse_container` method to `search.SearchClient` +- `_parse_relations` function to `graphql_helpers` +- `_parse_types_and_sub_types` method to `search.SearchClient` +- `_get_fully_qualified_name` method to `search.SearchClient` +- `relationships`, `last_updated`, `owner`, `owner_email` to `entities.TableMetadata` + +### Changed + +- `parent_database_name` to `parent_entity_name` within `entities.TableMetadata` +- `search.graphql` query to return containers. +- `SearchClient.search` to return containers and subTypes within results + ## [0.21.0] 2023-03-19 ### Added diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py index d5e8c10c..6afc6c1a 100644 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ b/lib/datahub-client/data_platform_catalogue/client/base.py @@ -71,6 +71,8 @@ def search( result_types: Sequence[ResultType] = ( ResultType.DATA_PRODUCT, ResultType.TABLE, + ResultType.CHART, + ResultType.DATABASE, ), filters: Sequence[MultiSelectFilter] = (), sort: SortOption | None = None, @@ -124,3 +126,10 @@ def get_chart_details(self, urn) -> ChartMetadata: returns detailed information about a chart """ pass + + @abstractmethod + def list_database_tables(self, urn: str, count: int) -> SearchResponse: + """ + returns a list of entities within a datahub container + """ + pass diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index ceb72720..2de534ab 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -34,6 +34,7 @@ DatabaseMetadata, DataLocation, DataProductMetadata, + RelationshipType, TableMetadata, ) from ...search_types import ( @@ -44,7 +45,14 @@ SortOption, ) from ..base import BaseCatalogueClient, CatalogueError, logger -from .graphql_helpers import parse_columns, parse_properties +from .graphql_helpers import ( + parse_columns, + parse_domain, + parse_owner, + parse_properties, + parse_relations, + parse_tags, +) from .search import SearchClient DATAHUB_DATA_TYPE_MAPPING = { @@ -258,10 +266,10 @@ def upsert_athena_table( metadata: TableMetadata, database_metadata: DatabaseMetadata | None = None, ) -> str: - if not metadata.parent_database_name: - raise ValueError("parent_database_name needs to be set in TableMetadata") + if not metadata.parent_entity_name: + raise ValueError("parent_entity_name needs to be set in TableMetadata") - fully_qualified_name = f"{metadata.parent_database_name}.{metadata.name}" + fully_qualified_name = f"{metadata.parent_entity_name}.{metadata.name}" dataset_urn = mce_builder.make_dataset_urn( platform="athena", name=fully_qualified_name, env="PROD" @@ -338,7 +346,7 @@ def upsert_athena_table( # jscpd:ignore-end database_urn = "urn:li:container:" + "".join( - metadata.parent_database_name.split() + metadata.parent_entity_name.split() ) database_exists = self.check_entity_exists_by_urn(urn=database_urn) @@ -600,6 +608,7 @@ def search( ResultType.DATA_PRODUCT, ResultType.TABLE, ResultType.CHART, + ResultType.DATABASE, ), filters: Sequence[MultiSelectFilter] = (), sort: SortOption | None = None, @@ -652,12 +661,31 @@ def get_table_details(self, urn) -> TableMetadata: ] properties, custom_properties = parse_properties(response) columns = parse_columns(response) - + domain = parse_domain(response) + owner, owner_email = parse_owner(response) + tags = parse_tags(response) + + # A dataset can't have both a container and data product parent, but if we did + # start to use in that we'd need to change this + if response["container_relations"]["total"] > 0: + relations = parse_relations( + RelationshipType.PARENT, response["container_relations"] + ) + elif response["data_product_relations"]["total"] > 0: + relations = parse_relations( + RelationshipType.PARENT, response["data_product_relations"] + ) return TableMetadata( name=properties["name"], description=properties.get("description", ""), column_details=columns, retention_period_in_days=custom_properties.get("retentionPeriodInDays"), + relationships=relations, + domain=domain["domain_name"], + tags=tags, + last_updated=None, # we are not populating this and i think wouldn't refer to lastIngested + owner=owner, + owner_email=owner_email, ) except GraphError as e: raise Exception("Unable to execute getDataset query") from e @@ -676,3 +704,7 @@ def get_chart_details(self, urn) -> ChartMetadata: ) except GraphError as e: raise Exception("Unable to execute getDataset query") from e + + def list_database_tables(self, urn: str, count: int) -> SearchResponse: + """Wraps the client's listDatabaseEntities query""" + return self.search_client.list_database_tables(urn=urn, count=count) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql index 771f62d9..3c26e3df 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql @@ -3,6 +3,57 @@ query getDatasetDetails($urn: String!) { platform { name } + domain { + domain { + urn + id + properties { + name + description + } + } + } + subTypes { + typeNames + } + container_relations:relationships( + input: { + types: ["IsPartOf"] + direction: OUTGOING + count: 10 + } + ) { + total + relationships { + entity { + urn + ... on Container { + properties { + name + } + } + } + } + } + data_product_relations:relationships( + input: { + types: ["DataProductContains"] + direction: INCOMING + count: 10 + } + ) { + total + relationships { + entity { + urn + ... on DataProduct { + properties { + name + } + } + } + } + } ownership { owners { owner { diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listContainerEntities.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listContainerEntities.graphql new file mode 100644 index 00000000..74447e99 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listContainerEntities.graphql @@ -0,0 +1,36 @@ +query getContainerEntities( + $urn: String! + $start: Int! + $count: Int! +) { + container(urn: $urn) { + entities(input:{start:$start, count:$count}){ + total + searchResults { + entity { + type + ... on Dataset { + urn + type + subTypes { + typeNames + } + platform { + name + } + name + properties { + name + qualifiedName + description + customProperties { + key + value + } + } + } + } + } + } + } +} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql index a6495efa..05b887d9 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -96,6 +96,9 @@ query Search( platform { name } + subTypes { + typeNames + } relationships( input: { types: ["DataProductContains"] @@ -227,6 +230,62 @@ query Search( } } } + ... on Container { + urn + type + subTypes { + typeNames + } + ownership { + owners { + owner { + ... on CorpUser { + urn + properties { + fullName + email + } + } + ... on CorpGroup { + urn + properties { + displayName + email + } + } + } + } + } + properties { + name + description + customProperties { + key + value + } + } + domain { + domain { + urn + id + properties { + name + description + } + } + } + tags { + tags { + tag { + urn + properties { + name + description + } + } + } + } + } } } } diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py index 97296463..cc65c69d 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py @@ -2,6 +2,8 @@ from datetime import datetime from typing import Any, Tuple +from data_platform_catalogue.entities import RelatedEntity, RelationshipType + def parse_owner(entity: dict[str, Any]): """ @@ -134,3 +136,22 @@ def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: # Sort primary keys first, then sort alphabetically return sorted(result, key=lambda c: (0 if c["isPrimaryKey"] else 1, c["name"])) + + +def parse_relations( + relationship_type: RelationshipType, relations_dict: dict +) -> dict[RelationshipType, list[RelatedEntity]]: + """ + parse the relationships results returned from a graphql querys + """ + # # we may want to do soemthing with total realtion if we are returning child relations + # # and need to paginate through relations - 10 relations returned as is + # total_relations = relations_dict.get("total", 0) + parent_entities = relations_dict.get("relationships", []) + related_entities = [ + RelatedEntity(id=i["entity"]["urn"], name=i["entity"]["properties"]["name"]) + for i in parent_entities + ] + + relations_return = {relationship_type: related_entities} + return relations_return diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index 65311cdb..e0ec2ff4 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -3,6 +3,7 @@ from importlib.resources import files from typing import Any, Sequence +from data_platform_catalogue.entities import RelationshipType from datahub.configuration.common import GraphError from datahub.ingestion.graph.client import DataHubGraph @@ -20,6 +21,7 @@ parse_last_updated, parse_owner, parse_properties, + parse_relations, parse_tags, ) @@ -51,6 +53,12 @@ def __init__(self, graph: DataHubGraph): .read_text() ) + self.get_database_tables_query = ( + files("data_platform_catalogue.client.datahub.graphql") + .joinpath("listContainerEntities.graphql") + .read_text() + ) + def search( self, query: str = "*", @@ -60,6 +68,7 @@ def search( ResultType.DATA_PRODUCT, ResultType.TABLE, ResultType.CHART, + ResultType.DATABASE, ), filters: Sequence[MultiSelectFilter] = (), sort: SortOption | None = None, @@ -108,6 +117,8 @@ def search( page_results.append(self._parse_dataset(entity, matched_fields)) elif entity_type == "CHART": page_results.append(self._parse_chart(entity, matched_fields)) + elif entity_type == "CONTAINER": + page_results.append(self._parse_container(entity, matched_fields)) else: raise ValueError(f"Unexpected entity type: {entity_type}") @@ -176,7 +187,46 @@ def list_data_product_assets( except GraphError as e: raise Exception("Unable to execute listDataProductAssets query") from e page_results = [] - for result in response["listDataProductAssets"]["searchResults"]: + page_results = self._get_data_collection_page_results( + response, "listDataProductAssets" + ) + + return SearchResponse( + total_results=response["listDataProductAssets"]["total"], + page_results=page_results, + ) + + def list_database_tables( + self, urn: str, count: int, start: int = 0 + ) -> SearchResponse: + variables = { + "urn": urn, + "start": start, + "count": count, + } + + try: + response = self.graph.execute_graphql( + self.get_database_tables_query, variables + ) + except GraphError as e: + raise Exception("Unable to execute listDatabaseEntities query") from e + + page_results = self._get_data_collection_page_results( + response["container"], "entities" + ) + + return SearchResponse( + total_results=response["container"]["entities"]["total"], + page_results=page_results, + ) + + def _get_data_collection_page_results(self, response, key_for_results: str): + """ + for use by entities that hold collections of data, eg. data product and container + """ + page_results = [] + for result in response[key_for_results]["searchResults"]: entity = result["entity"] entity_type = entity["type"] matched_fields: dict = {} @@ -184,11 +234,7 @@ def list_data_product_assets( page_results.append(self._parse_dataset(entity, matched_fields)) else: raise ValueError(f"Unexpected entity type: {entity_type}") - - return SearchResponse( - total_results=response["listDataProductAssets"]["total"], - page_results=page_results, - ) + return page_results def _map_result_types(self, result_types: Sequence[ResultType]): """ @@ -203,6 +249,8 @@ def _map_result_types(self, result_types: Sequence[ResultType]): types.append("GLOSSARY_TERM") if ResultType.CHART in result_types: types.append("CHART") + if ResultType.DATABASE in result_types: + types.append("CONTAINER") return types @@ -223,28 +271,22 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: tags = parse_tags(entity) last_updated = parse_last_updated(entity) name = entity["name"] - relationships = entity.get("relationships", {}) - total_data_products = relationships.get("total", 0) - data_products = relationships.get("relationships", []) - data_products = [ - {"id": i["entity"]["urn"], "name": i["entity"]["properties"]["name"]} - for i in data_products - ] + + relations = parse_relations( + RelationshipType.PARENT, entity.get("relationships", {}) + ) metadata = { "owner": owner_name, "owner_email": owner_email, - "total_data_products": total_data_products, - "data_products": data_products, + "total_parents": entity.get("relationships", {}).get("total", 0), + "parents": relations[RelationshipType.PARENT], + "entity_types": self._parse_types_and_sub_types(entity, "Dataset"), } metadata.update(parse_domain(entity)) metadata.update(custom_properties) - fqn = ( - properties.get("qualifiedName", name) - if properties.get("qualifiedName") is not None - else name - ) + fqn = self._get_fully_qualified_name(properties, name) return SearchResult( id=entity["urn"], @@ -274,11 +316,7 @@ def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: metadata.update(parse_domain(entity)) metadata.update(custom_properties) - fqn = ( - properties.get("qualifiedName", properties["name"]) - if properties.get("qualifiedName") is not None - else properties["name"] - ) + fqn = self._get_fully_qualified_name(properties, properties["name"]) return SearchResult( id=entity["urn"], @@ -365,3 +403,51 @@ def get_glossary_terms(self, count: int = 1000) -> SearchResponse: return SearchResponse( total_results=response["total"], page_results=page_results ) + + def _parse_container(self, entity: dict[str, Any], matches) -> SearchResult: + """ + Map a Container entity to a SearchResult + """ + tags = parse_tags(entity) + last_updated = parse_last_updated(entity) + properties, custom_properties = parse_properties(entity) + owner_email, owner_name = parse_owner(entity) + + metadata = { + "owner": owner_name, + "owner_email": owner_email, + "entity_types": self._parse_types_and_sub_types(entity, "Container"), + } + + fqn = self._get_fully_qualified_name(properties, properties["name"]) + + metadata.update(parse_domain(entity)) + metadata.update(custom_properties) + + return SearchResult( + id=entity["urn"], + result_type=ResultType.DATABASE, + matches=matches, + name=properties["name"], + fully_qualified_name=fqn, + description=properties.get("description", ""), + metadata=metadata, + tags=tags, + last_updated=last_updated, + ) + + def _parse_types_and_sub_types(self, entity: dict, entity_type: str) -> dict: + entity_sub_type = ( + entity.get("subTypes", {}).get("typeNames", [entity_type]) + if entity.get("subTypes") is not None + else [entity_type] + ) + return {"entity_type": entity_type, "entity_sub_types": entity_sub_type} + + def _get_fully_qualified_name(self, entity_properties: dict, name: str) -> str: + fqn = ( + entity_properties.get("qualifiedName", name) + if entity_properties.get("qualifiedName") is not None + else name + ) + return fqn diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index af9d1fee..7d9f2d2d 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -38,6 +38,16 @@ class DatabaseStatus(Enum): DEV = auto() +class RelationshipType(Enum): + PARENT = auto() + + +@dataclass +class RelatedEntity: + id: str + name: str + + @dataclass class DataProductMetadata: name: str @@ -107,13 +117,17 @@ class TableMetadata: column_details: list retention_period_in_days: int | None domain: str | None = None - parent_database_name: str | None = None + parent_entity_name: str | None = None + relationships: dict[RelationshipType, list[RelatedEntity]] | None = None source_dataset_name: str = "" where_to_access_dataset: str = "" data_sensitivity_level: SecurityClassification = SecurityClassification.OFFICIAL tags: list[str] = field(default_factory=list) major_version: int = 1 row_count: int | None = None + last_updated: datetime | None = None + owner: str = "" + owner_email: str = "" @staticmethod def from_data_product_schema_dict( diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index e3b6b2b0..4a869038 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -9,6 +9,7 @@ class ResultType(Enum): TABLE = auto() GLOSSARY_TERM = auto() CHART = auto() + DATABASE = auto() @dataclass diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index ccaeb2ab..e6f61f7a 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.21.0" +version = "0.22.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index e0c82533..a0c85c04 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -16,6 +16,8 @@ DataLocation, DataProductMetadata, DataProductStatus, + RelatedEntity, + RelationshipType, SecurityClassification, TableMetadata, ) @@ -96,7 +98,7 @@ def table(self): source_dataset_name="my_source_table", where_to_access_dataset="s3://databucket/table1", data_sensitivity_level=SecurityClassification.OFFICIAL, - parent_database_name="my_database", + parent_entity_name="my_database", domain="LAA", ) @@ -280,6 +282,19 @@ def test_get_dataset( "dataset": { "platform": {"name": "datahub"}, "ownership": None, + "subTypes": None, + "container_relations": { + "total": 1, + "relationships": [ + { + "entity": { + "urn": "urn:li:container:databse", + "properties": {"name": "database"}, + } + } + ], + }, + "data_product_relations": {"total": 0, "relationships": []}, "name": "Dataset", "properties": { "name": "Dataset", @@ -366,6 +381,12 @@ def test_get_dataset( data_sensitivity_level=SecurityClassification.OFFICIAL, tags=[], major_version=1, + relationships={ + RelationshipType.PARENT: [ + RelatedEntity(id="urn:li:container:databse", name="database") + ] + }, + domain="", ) def test_get_chart_details(self, datahub_client, base_mock_graph): diff --git a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py index 8e27d397..a229932a 100644 --- a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py +++ b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py @@ -1,4 +1,8 @@ -from data_platform_catalogue.client.datahub.graphql_helpers import parse_columns +from data_platform_catalogue.client.datahub.graphql_helpers import ( + parse_columns, + parse_relations, +) +from data_platform_catalogue.entities import RelatedEntity, RelationshipType def test_parse_columns_with_primary_key_and_foreign_key(): @@ -118,3 +122,31 @@ def test_parse_columns_with_no_schema(): assert parse_columns(entity) == [] assert parse_columns(entity) == [] + + +def test_parse_relations(): + relations = { + "relationships": { + "total": 1, + "relationships": [ + { + "entity": { + "urn": "urn:li:dataProduct:test", + "properties": {"name": "test"}, + } + } + ], + } + } + result = parse_relations(RelationshipType.PARENT, relations["relationships"]) + assert result == { + RelationshipType.PARENT: [ + RelatedEntity(id="urn:li:dataProduct:test", name="test") + ] + } + + +def test_parse_relations_blank(): + relations = {"relationships": {"total": 0, "relationships": []}} + result = parse_relations(RelationshipType.PARENT, relations["relationships"]) + assert result == {RelationshipType.PARENT: []} diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 9b328289..551cc0ca 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -3,6 +3,7 @@ import pytest from data_platform_catalogue.client.datahub.search import SearchClient +from data_platform_catalogue.entities import RelatedEntity from data_platform_catalogue.search_types import ( FacetOption, MultiSelectFilter, @@ -172,12 +173,16 @@ def test_dataset_result(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [], - "total_data_products": 0, + "total_parents": 0, + "parents": [], "domain_name": "HMPPS", "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", "StoredAsSubDirectories": "False", "CreatedByJob": "moj-reg-prod-hmpps-assess-risks-and-needs-prod-glue-job", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], ), @@ -251,10 +256,14 @@ def test_full_page(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [], - "total_data_products": 0, + "parents": [], + "total_parents": 0, "domain_name": "", "domain_id": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], last_updated=datetime(2024, 1, 23, 6, 15, 2, 353000), @@ -269,10 +278,14 @@ def test_full_page(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [], - "total_data_products": 0, + "parents": [], + "total_parents": 0, "domain_name": "", "domain_id": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], last_updated=None, @@ -287,10 +300,14 @@ def test_full_page(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [], - "total_data_products": 0, + "parents": [], + "total_parents": 0, "domain_name": "", "domain_id": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], last_updated=None, @@ -352,10 +369,14 @@ def test_query_match(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [], - "total_data_products": 0, + "parents": [], + "total_parents": 0, "domain_id": "", "domain_name": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], ) @@ -413,10 +434,14 @@ def test_result_with_owner(mock_graph, searcher): metadata={ "owner": "Shannon Lovett", "owner_email": "shannon@longtail.com", - "data_products": [], - "total_data_products": 0, + "parents": [], + "total_parents": 0, "domain_id": "", "domain_name": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], ) @@ -644,6 +669,7 @@ def test_result_with_data_product(mock_graph, searcher): "type": "DATASET", "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 "name": "calm-pagoda-323403.jaffle_shop.customers", + "subType": None, "relationships": { "total": 1, "relationships": [ @@ -680,10 +706,14 @@ def test_result_with_data_product(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [{"id": "urn:abc", "name": "abc"}], - "total_data_products": 1, + "parents": [RelatedEntity(id="urn:abc", name="abc")], + "total_parents": 1, "domain_id": "", "domain_name": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], ) @@ -745,10 +775,14 @@ def test_list_data_product_assets(mock_graph, searcher): metadata={ "owner": "", "owner_email": "", - "data_products": [{"id": "urn:abc", "name": "abc"}], - "total_data_products": 1, + "parents": [RelatedEntity(id="urn:abc", name="abc")], + "total_parents": 1, "domain_id": "", "domain_name": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, }, tags=[], ) @@ -888,3 +922,170 @@ def test_search_for_charts(mock_graph, searcher): ) ], ) + + +def test_search_for_container(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 1, + "total": 1, + "searchResults": [ + { + "insights": [], + "matchedFields": [ + { + "name": "urn", + "value": "urn:li:container:test_db", + }, + { + "name": "description", + "value": "test", + }, + {"name": "name", "value": "test_db"}, + ], + "entity": { + "type": "CONTAINER", + "urn": "urn:li:container:test_db", + "platform": {"name": "athena"}, + "subTypes": {"typeNames": ["Database"]}, + "ownership": { + "owners": [ + { + "owner": { + "urn": "urn:li:corpuser:shannon@longtail.com", + "properties": { + "fullName": "Shannon Lovett", + "email": "shannon@longtail.com", + }, + } + } + ] + }, + "properties": { + "name": "test_db", + "description": "test", + "customProperties": [ + {"key": "dpia_required", "value": "False"}, + ], + }, + "domain": { + "domain": { + "urn": "urn:li:domain:testdom", + "id": "general", + "properties": {"name": "testdom", "description": ""}, + } + }, + "tags": { + "tags": [ + { + "tag": { + "urn": "urn:li:tag:test", + "properties": { + "name": "test", + "description": "test tag", + }, + } + } + ] + }, + }, + } + ], + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:container:test_db", + name="test_db", + fully_qualified_name="test_db", + description="test", + matches={ + "urn": "urn:li:container:test_db", + "description": "test", + "name": "test_db", + }, + result_type=ResultType.DATABASE, + metadata={ + "owner": "Shannon Lovett", + "owner_email": "shannon@longtail.com", + "domain_id": "urn:li:domain:testdom", + "domain_name": "testdom", + "dpia_required": "False", + "entity_types": { + "entity_type": "Container", + "entity_sub_types": ["Database"], + }, + }, + tags=["test"], + ) + ], + ) + + +def test_list_database_tables(mock_graph, searcher): + datahub_response = { + "container": { + "entities": { + "total": 1, + "searchResults": [ + { + "entity": { + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:athena,test_db.test_table,PROD)", + "platform": {"name": "athena"}, + "name": "test_db.test_table", + "subTypes": {"typeNames": ["Table"]}, + "properties": { + "name": "test_table", + "qualifiedName": "test_db.test_table", + "description": "just for test", + "customProperties": [ + { + "key": "whereToAccessDataset", + "value": "analytical_platform", + }, + {"key": "sensitivityLevel", "value": "OFFICIAL"}, + ], + }, + } + } + ], + } + } + } + + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + response = searcher.list_database_tables(urn="urn:li:athena:test", count=10) + assert response == SearchResponse( + total_results=1, + page_results=[ + SearchResult( + id="urn:li:dataset:(urn:li:dataPlatform:athena,test_db.test_table,PROD)", + name="test_table", + fully_qualified_name="test_db.test_table", + description="just for test", + result_type=ResultType.TABLE, + metadata={ + "owner": "", + "owner_email": "", + "domain_id": "", + "domain_name": "", + "whereToAccessDataset": "analytical_platform", + "sensitivityLevel": "OFFICIAL", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Table"], + }, + "total_parents": 0, + "parents": [], + }, + ) + ], + ) From df11b2c76370d50fadb5faa9c5c97e025f1b85d9 Mon Sep 17 00:00:00 2001 From: Mat Date: Tue, 26 Mar 2024 15:28:05 +0000 Subject: [PATCH 43/64] Add missing metadata when fetching datasets (#3722) * Test tags in dataset response * Return native types if available When presenting datasets in our UI, use the native data types if we have them. We suspect these will be more useful to the users. * Return qualifiedName in datasets if available * Return created and modified timestamps Return created and modified timestamps for datasets and search results. Previously we were returning the last ingested timestamp for search results, which is not exactly what we want to present to users. It gives an indication of whether metadata may be stale or not, but we shouldn't present that as when the metadata was last modified, or the user will conclude that there has been some change that never happened. Returning this for datasets as well means we can display it on the details page. * Bump version to 0.23.0 * Lint * Fall back to top level name attribute if missing from properties According to https://datahubproject.io/docs/graphql/objects/#dataset name is not supposed to be used anymore, but it seems like the dbt ingestion is populating this instead of properties.name. --- lib/datahub-client/CHANGELOG.md | 14 ++++- .../client/datahub/datahub_client.py | 11 +++- .../datahub/graphql/getDatasetDetails.graphql | 17 ++--- .../client/datahub/graphql_helpers.py | 20 +++++- .../client/datahub/search.py | 6 +- .../data_platform_catalogue/entities.py | 4 +- .../data_platform_catalogue/search_types.py | 1 + lib/datahub-client/pyproject.toml | 2 +- .../client/datahub/test_datahub_client.py | 63 +++++++++++++++++-- .../client/datahub/test_graphql_helpers.py | 20 ++++-- .../tests/client/datahub/test_search.py | 6 +- 11 files changed, 131 insertions(+), 33 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 2e440a89..be5ec4cd 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,18 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.23.0] 2024-03-26 + +### Changed + +- Use timezone aware timestamps when returning last updated values, and source + the information from `lastModified` in Datahub, not `lastIngested`. +- Prefer native data types to Datahub's type when returning schemas for datasets + +### Added + +- Return qualifiedName and tags for datasets if available + ## [0.22.0] 2023-03-19 ### Added @@ -37,7 +49,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - A ChartMetadata class with very limited attributes - ResultType.CHART - A GraphQL query for chart details -- SearchClient._parse_chart, incorporated chart parsing into the normal search method +- SearchClient.\_parse_chart, incorporated chart parsing into the normal search method - DataHubCatalogueClient.get_chart_details for the chart display page ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py index 2de534ab..8a639f95 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py @@ -47,6 +47,7 @@ from ..base import BaseCatalogueClient, CatalogueError, logger from .graphql_helpers import ( parse_columns, + parse_created_and_modified, parse_domain, parse_owner, parse_properties, @@ -664,6 +665,8 @@ def get_table_details(self, urn) -> TableMetadata: domain = parse_domain(response) owner, owner_email = parse_owner(response) tags = parse_tags(response) + name = properties.get("name", response.get("name")) + created, modified = parse_created_and_modified(properties) # A dataset can't have both a container and data product parent, but if we did # start to use in that we'd need to change this @@ -675,17 +678,21 @@ def get_table_details(self, urn) -> TableMetadata: relations = parse_relations( RelationshipType.PARENT, response["data_product_relations"] ) + else: + relations = {} return TableMetadata( - name=properties["name"], + name=name, + fully_qualified_name=properties.get("qualifiedName") or name, description=properties.get("description", ""), column_details=columns, retention_period_in_days=custom_properties.get("retentionPeriodInDays"), relationships=relations, domain=domain["domain_name"], tags=tags, - last_updated=None, # we are not populating this and i think wouldn't refer to lastIngested owner=owner, owner_email=owner_email, + first_created=created, + last_updated=modified, ) except GraphError as e: raise Exception("Unable to execute getDataset query") from e diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql index 3c26e3df..dd5b9409 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql @@ -3,6 +3,7 @@ query getDatasetDetails($urn: String!) { platform { name } + name # Deprecated - prefer properties.name domain { domain { urn @@ -16,12 +17,8 @@ query getDatasetDetails($urn: String!) { subTypes { typeNames } - container_relations:relationships( - input: { - types: ["IsPartOf"] - direction: OUTGOING - count: 10 - } + container_relations: relationships( + input: { types: ["IsPartOf"], direction: OUTGOING, count: 10 } ) { total relationships { @@ -35,12 +32,8 @@ query getDatasetDetails($urn: String!) { } } } - data_product_relations:relationships( - input: { - types: ["DataProductContains"] - direction: INCOMING - count: 10 - } + data_product_relations: relationships( + input: { types: ["DataProductContains"], direction: INCOMING, count: 10 } ) { total relationships { diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py index cc65c69d..10dae7d8 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py @@ -1,5 +1,5 @@ from collections import defaultdict -from datetime import datetime +from datetime import datetime, timezone from typing import Any, Tuple from data_platform_catalogue.entities import RelatedEntity, RelationshipType @@ -29,7 +29,21 @@ def parse_last_updated(entity: dict[str, Any]) -> datetime | None: timestamp = entity.get("lastIngested") if timestamp is None: return None - return datetime.utcfromtimestamp(timestamp / 1000) + return datetime.fromtimestamp(timestamp / 1000, timezone.utc) + + +def parse_created_and_modified( + properties: dict[str, Any] +) -> Tuple[datetime | None, datetime | None]: + created = properties.get("created") + modified = properties.get("lastModified") + + if created is not None: + created = datetime.fromtimestamp(created / 1000, timezone.utc) + if modified is not None: + modified = datetime.fromtimestamp(modified / 1000, timezone.utc) + + return created, modified def parse_tags(entity: dict[str, Any]) -> list[str]: @@ -127,7 +141,7 @@ def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: { "name": field["fieldPath"], "description": field["description"], - "type": field["type"], + "type": field.get("nativeDataType", field["type"]), "nullable": field["nullable"], "isPrimaryKey": is_primary_key, "foreignKeys": foreign_keys_for_field, diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py index e0ec2ff4..57428018 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/search.py @@ -17,6 +17,7 @@ SortOption, ) from .graphql_helpers import ( + parse_created_and_modified, parse_domain, parse_last_updated, parse_owner, @@ -288,6 +289,8 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: fqn = self._get_fully_qualified_name(properties, name) + created, modified = parse_created_and_modified(properties) + return SearchResult( id=entity["urn"], result_type=ResultType.TABLE, @@ -297,7 +300,8 @@ def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: description=properties.get("description", ""), metadata=metadata, tags=tags, - last_updated=last_updated, + last_updated=modified or last_updated, + first_created=created, ) def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index 7d9f2d2d..b9cb60ae 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -121,13 +121,15 @@ class TableMetadata: relationships: dict[RelationshipType, list[RelatedEntity]] | None = None source_dataset_name: str = "" where_to_access_dataset: str = "" + fully_qualified_name: str | None = None data_sensitivity_level: SecurityClassification = SecurityClassification.OFFICIAL tags: list[str] = field(default_factory=list) major_version: int = 1 row_count: int | None = None - last_updated: datetime | None = None owner: str = "" owner_email: str = "" + last_updated: datetime | None = None + first_created: datetime | None = None @staticmethod def from_data_product_schema_dict( diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 4a869038..9057cd0d 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -60,6 +60,7 @@ class SearchResult: metadata: dict[str, Any] = field(default_factory=dict) tags: list[str] = field(default_factory=list) last_updated: datetime | None = None + first_created: datetime | None = None @dataclass diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index e6f61f7a..683215ad 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.22.0" +version = "0.23.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index a0c85c04..84c671a2 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from pathlib import Path from unittest.mock import MagicMock, patch @@ -298,12 +298,23 @@ def test_get_dataset( "name": "Dataset", "properties": { "name": "Dataset", - "qualifiedName": None, + "qualifiedName": "Foo.Dataset", "description": "Dataset", + "customProperties": [ + {"key": "sensitivityLevel", "value": "OFFICIAL-SENSITIVE"} + ], + "lastModified": 1709619407814, }, "editableProperties": None, "tags": { - "tags": [{"tag": {"urn": "urn:li:tag:Entity", "properties": None}}] + "tags": [ + { + "tag": { + "urn": "urn:li:tag:Entity", + "properties": {"name": "some-tag"}, + } + } + ] }, "lastIngested": 1709619407814, "domain": None, @@ -351,10 +362,11 @@ def test_get_dataset( assert dataset == TableMetadata( name="Dataset", description="Dataset", + fully_qualified_name="Foo.Dataset", column_details=[ { "name": "urn", - "type": "STRING", + "type": "string", "description": "The primary identifier for the dataset entity.", "isPrimaryKey": True, "foreignKeys": [], @@ -362,7 +374,7 @@ def test_get_dataset( }, { "name": "upstreamLineage", - "type": "STRUCT", + "type": "upstreamLineage", "description": "Upstream lineage of a dataset", "foreignKeys": [ { @@ -379,7 +391,7 @@ def test_get_dataset( source_dataset_name="", where_to_access_dataset="", data_sensitivity_level=SecurityClassification.OFFICIAL, - tags=[], + tags=["some-tag"], major_version=1, relationships={ RelationshipType.PARENT: [ @@ -387,6 +399,45 @@ def test_get_dataset( ] }, domain="", + last_updated=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + ) + + def test_get_dataset_minimal_properties( + self, + datahub_client, + base_mock_graph, + ): + urn = "abc" + datahub_response = { + "dataset": { + "platform": {"name": "datahub"}, + "name": "notinproperties", + "properties": {}, + "container_relations": { + "total": 0, + }, + "data_product_relations": {"total": 0, "relationships": []}, + "schemaMetadata": {"fields": []}, + } + } + base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + dataset = datahub_client.get_table_details(urn) + + assert dataset == TableMetadata( + name="notinproperties", + fully_qualified_name="notinproperties", + description="", + column_details=[], + retention_period_in_days=None, + source_dataset_name="", + where_to_access_dataset="", + data_sensitivity_level=SecurityClassification.OFFICIAL, + tags=[], + major_version=1, + relationships={}, + domain="", + last_updated=None, ) def test_get_chart_details(self, datahub_client, base_mock_graph): diff --git a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py index a229932a..dadb57ff 100644 --- a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py +++ b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py @@ -1,5 +1,8 @@ +from datetime import datetime, timezone + from data_platform_catalogue.client.datahub.graphql_helpers import ( parse_columns, + parse_created_and_modified, parse_relations, ) from data_platform_catalogue.entities import RelatedEntity, RelationshipType @@ -48,7 +51,7 @@ def test_parse_columns_with_primary_key_and_foreign_key(): assert parse_columns(entity) == [ { "name": "urn", - "type": "STRING", + "type": "string", "isPrimaryKey": True, "foreignKeys": [], "nullable": False, @@ -56,7 +59,7 @@ def test_parse_columns_with_primary_key_and_foreign_key(): }, { "name": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", - "type": "STRUCT", + "type": "upstreamLineage", "description": "Upstream lineage of a dataset", "nullable": False, "isPrimaryKey": False, @@ -100,7 +103,7 @@ def test_parse_columns_with_no_keys(): assert parse_columns(entity) == [ { "name": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", - "type": "STRUCT", + "type": "upstreamLineage", "description": "Upstream lineage of a dataset", "nullable": False, "isPrimaryKey": False, @@ -108,7 +111,7 @@ def test_parse_columns_with_no_keys(): }, { "name": "urn", - "type": "STRING", + "type": "string", "isPrimaryKey": False, "foreignKeys": [], "nullable": False, @@ -150,3 +153,12 @@ def test_parse_relations_blank(): relations = {"relationships": {"total": 0, "relationships": []}} result = parse_relations(RelationshipType.PARENT, relations["relationships"]) assert result == {RelationshipType.PARENT: []} + + +def test_parse_created_and_modified(): + properties = {"created": 1710426920000, "lastModified": 1710426921000} + + created, modified = parse_created_and_modified(properties) + + assert created == datetime(2024, 3, 14, 14, 35, 20, tzinfo=timezone.utc) + assert modified == datetime(2024, 3, 14, 14, 35, 21, tzinfo=timezone.utc) diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 551cc0ca..6c9f57eb 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -1,4 +1,4 @@ -from datetime import datetime +from datetime import datetime, timezone from unittest.mock import MagicMock import pytest @@ -266,7 +266,9 @@ def test_full_page(mock_graph, searcher): }, }, tags=[], - last_updated=datetime(2024, 1, 23, 6, 15, 2, 353000), + last_updated=datetime( + 2024, 1, 23, 6, 15, 2, 353000, tzinfo=timezone.utc + ), ), SearchResult( id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", From f702593e872bd1c564d93296cace7f748ab2b845 Mon Sep 17 00:00:00 2001 From: Matt <38562764+LavMatt@users.noreply.github.com> Date: Fri, 12 Apr 2024 09:23:09 +0100 Subject: [PATCH 44/64] update lastModified property in data-platform-catalogue (#4024) * update 'lastModified` property * update poetry and changelog * add a space --- lib/datahub-client/CHANGELOG.md | 8 ++++++++ .../client/datahub/graphql/search.graphql | 5 ++++- lib/datahub-client/pyproject.toml | 2 +- 3 files changed, 13 insertions(+), 2 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index be5ec4cd..37e84a66 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,14 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.24.0] 2024-04-11 + +### Changed + +- `search.graphql` query to be compatible with Datahub v0.12.1, where the property + `lastModified` has changed type from `Long` to `AuditStamp` a nested structure + which contains a time (long) and an actor (string). + ## [0.23.0] 2024-03-26 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql index 05b887d9..cbd17b69 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql @@ -148,7 +148,10 @@ query Search( value } created - lastModified + lastModified { + time + actor + } } editableProperties { description diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 683215ad..fddd3c2b 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.23.0" +version = "0.24.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" From 6f319613b048dd3667721d712949d54adcfcd905 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Fri, 12 Apr 2024 11:31:33 +0100 Subject: [PATCH 45/64] Accounted for lastModified changing to nested structure (#4063) * Accounted for lastModified changing to nested structure * Bumped project version --- lib/datahub-client/CHANGELOG.md | 7 +++++++ .../client/datahub/graphql_helpers.py | 2 +- lib/datahub-client/pyproject.toml | 2 +- .../tests/client/datahub/test_datahub_client.py | 2 +- .../tests/client/datahub/test_graphql_helpers.py | 5 ++++- 5 files changed, 14 insertions(+), 4 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 37e84a66..588c3075 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,13 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.24.1] 2024-04-11 + +### Changed + +- `lastModified` should be handled as a dict and not as an int in the code. + These changes fix a bug where a dict was treated as an int. + ## [0.24.0] 2024-04-11 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py index 10dae7d8..ee25ccdc 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py @@ -36,7 +36,7 @@ def parse_created_and_modified( properties: dict[str, Any] ) -> Tuple[datetime | None, datetime | None]: created = properties.get("created") - modified = properties.get("lastModified") + modified = properties.get("lastModified", {}).get("time") if created is not None: created = datetime.fromtimestamp(created / 1000, timezone.utc) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index fddd3c2b..7e51e0ca 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.24.0" +version = "0.24.1" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 84c671a2..2ea4e91e 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -303,7 +303,7 @@ def test_get_dataset( "customProperties": [ {"key": "sensitivityLevel", "value": "OFFICIAL-SENSITIVE"} ], - "lastModified": 1709619407814, + "lastModified": {"time": 1709619407814}, }, "editableProperties": None, "tags": { diff --git a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py index dadb57ff..643d3f62 100644 --- a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py +++ b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py @@ -156,7 +156,10 @@ def test_parse_relations_blank(): def test_parse_created_and_modified(): - properties = {"created": 1710426920000, "lastModified": 1710426921000} + properties = { + "created": 1710426920000, + "lastModified": {"time": 1710426921000, "actor": "Shakira"}, + } created, modified = parse_created_and_modified(properties) From 4caacac0825d1ca79774b980792c33a92aa47de6 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 15 Apr 2024 13:59:06 +0100 Subject: [PATCH 46/64] Bump dnspython from 2.4.2 to 2.6.1 in /python-libraries/data-platform-catalogue (#4064) Bump dnspython in /python-libraries/data-platform-catalogue Bumps [dnspython](https://github.com/rthalley/dnspython) from 2.4.2 to 2.6.1. - [Release notes](https://github.com/rthalley/dnspython/releases) - [Changelog](https://github.com/rthalley/dnspython/blob/main/doc/whatsnew.rst) - [Commits](https://github.com/rthalley/dnspython/compare/v2.4.2...v2.6.1) --- updated-dependencies: - dependency-name: dnspython dependency-type: indirect ... Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- lib/datahub-client/poetry.lock | 55 +++++++++++++++++++++++++++------- 1 file changed, 44 insertions(+), 11 deletions(-) diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index ccaa195d..89eb2823 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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update instances of `lastModified` property in data-platform-catalogue (#4078) * update instances of `lastModified` property in data-platform-catalogue * update changelog text --- lib/datahub-client/CHANGELOG.md | 7 +++++++ .../datahub/graphql/getChartDetails.graphql | 1 + .../datahub/graphql/getDatasetDetails.graphql | 5 ++++- .../graphql/listDataProductAssets.graphql | 20 +++++++++++++++---- lib/datahub-client/pyproject.toml | 2 +- 5 files changed, 29 insertions(+), 6 deletions(-) diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 588c3075..431a693a 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,13 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [0.24.2] 2024-04-16 + +### Changed + +- `lastModified` syntax updated for getDatasetDetails, getChartDetails, + listDataProductAssets, as per `0.24.0` + ## [0.24.1] 2024-04-11 ### Changed diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql index 65874bfa..4409888c 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql @@ -35,6 +35,7 @@ query getChartDetails($urn: String!) { } lastModified { time + actor } } } diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql index dd5b9409..9f40e2aa 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql @@ -77,7 +77,10 @@ query getDatasetDetails($urn: String!) { value } created - lastModified + lastModified { + time + actor + } } editableProperties { description diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql index d1000032..6146c282 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql +++ b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql @@ -1,7 +1,12 @@ -query dataProductDetails($urn: String!, $query: String!, $count: Int!, $start: Int!) { +query dataProductDetails( + $urn: String! + $query: String! + $count: Int! + $start: Int! +) { listDataProductAssets( urn: $urn - input: {query: $query, start: $start, count: $count} + input: { query: $query, start: $start, count: $count } ) { start count @@ -16,7 +21,11 @@ query dataProductDetails($urn: String!, $query: String!, $count: Int!, $start: I name } relationships( - input: {types: ["DataProductContains"], direction: INCOMING, count: 10} + input: { + types: ["DataProductContains"] + direction: INCOMING + count: 10 + } ) { total relationships { @@ -60,7 +69,10 @@ query dataProductDetails($urn: String!, $query: String!, $count: Int!, $start: I value } created - lastModified + lastModified { + time + actor + } } editableProperties { description diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index 7e51e0ca..eae504b5 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.24.1" +version = "0.24.2" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" From c654278d8f6ad7fe0ea6f79166d1dc0715dea841 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Tue, 30 Apr 2024 09:39:28 +0100 Subject: [PATCH 48/64] Catalogue library refactor (#4115) ### Added - Pydantic entity types - `DataHubCatalogueClient`.`upsert_chart` ### Changes - Exceptions thrown by DatahubClient are now imported from `data_platform_catalogue.client.exceptions` - Upsert methods of `DatahubClient` simplified to `upsert_table`, `upsert_database` etc - Renamed `last_updated` to datahub-friendly `last_modified`. - Renamed `first_created` to datahub-friendly `created`. - Use `urn` rather than `id` in datahub related contexts. ### Removed - `BaseCatalogueClient` class - References to data products in methods and classes - `DataHubCatalogueClient`.`upsert_data_product` - `DataHubCatalogueClient`.`upsert_athena_table` - `DataHubCatalogueClient`.`upsert_athena_database` - `DataHubCatalogueClient`.`list_data_product_assets` - `DatabaseStatus` - `SecurityClassification` --- lib/datahub-client/.gitignore | 1 + lib/datahub-client/CHANGELOG.md | 32 +- lib/datahub-client/README.md | 11 - .../data_platform_catalogue/__init__.py | 8 - .../data_platform_catalogue/client/README.md | 133 ++ .../client/__init__.py | 3 - .../data_platform_catalogue/client/base.py | 135 -- .../client/datahub/__init__.py | 1 - .../client/datahub/datahub_client.py | 717 -------- .../graphql/listDataProductAssets.graphql | 106 -- .../client/datahub_client.py | 537 ++++++ .../client/exceptions.py | 29 + .../client/{datahub => }/graphql/__init__.py | 0 .../{datahub => }/graphql/facets.graphql | 0 .../graphql/getChartDetails.graphql | 0 .../graphql/getDatasetDetails.graphql | 0 .../graphql/getGlossaryTerms.graphql | 0 .../graphql/listContainerEntities.graphql | 0 .../{datahub => }/graphql/search.graphql | 0 .../client/{datahub => }/graphql_helpers.py | 119 +- .../client/{datahub => }/search.py | 261 ++- .../data_platform_catalogue/entities.py | 412 ++--- .../data_platform_catalogue/search_types.py | 11 +- lib/datahub-client/poetry.lock | 1471 ++--------------- lib/datahub-client/pyproject.toml | 17 +- .../client/datahub/test_datahub_client.py | 617 +++---- .../client/datahub/test_graphql_helpers.py | 147 +- .../tests/client/datahub/test_search.py | 445 ++--- lib/datahub-client/tests/conftest.py | 4 +- .../tests/snapshots/datahub_create_table.json | 77 - .../datahub_create_table_with_metadata.json | 162 -- ...tahub_create_two_tables_with_metadata.json | 259 --- ...h_metadata.json => test_upsert_table.json} | 70 +- ...on => test_upsert_table_and_database.json} | 107 +- lib/datahub-client/tests/test_entities.py | 94 -- .../tests/test_helpers/graph_helpers.py | 11 +- .../test_integration_with_datahub_server.py | 495 +++--- .../golden_data_product_in.json | 59 - 38 files changed, 2266 insertions(+), 4285 deletions(-) delete mode 100644 lib/datahub-client/data_platform_catalogue/__init__.py create mode 100644 lib/datahub-client/data_platform_catalogue/client/README.md delete mode 100644 lib/datahub-client/data_platform_catalogue/client/base.py delete mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py delete mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py delete mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql create mode 100644 lib/datahub-client/data_platform_catalogue/client/datahub_client.py create mode 100644 lib/datahub-client/data_platform_catalogue/client/exceptions.py rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/__init__.py (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/facets.graphql (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/getChartDetails.graphql (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/getDatasetDetails.graphql (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/getGlossaryTerms.graphql (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/listContainerEntities.graphql (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql/search.graphql (100%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/graphql_helpers.py (58%) rename lib/datahub-client/data_platform_catalogue/client/{datahub => }/search.py (60%) delete mode 100644 lib/datahub-client/tests/snapshots/datahub_create_table.json delete mode 100644 lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json delete mode 100644 lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json rename lib/datahub-client/tests/snapshots/{datahub_create_athena_table_with_metadata.json => test_upsert_table.json} (53%) rename lib/datahub-client/tests/snapshots/{datahub_create_athena_table.json => test_upsert_table_and_database.json} (58%) delete mode 100644 lib/datahub-client/tests/test_entities.py delete mode 100644 lib/datahub-client/tests/test_resources/golden_data_product_in.json diff --git a/lib/datahub-client/.gitignore b/lib/datahub-client/.gitignore index b03b80e2..127ff25c 100644 --- a/lib/datahub-client/.gitignore +++ b/lib/datahub-client/.gitignore @@ -7,3 +7,4 @@ env/ *.code-workspace dist/ __pycache__ +.idea/ diff --git a/lib/datahub-client/CHANGELOG.md b/lib/datahub-client/CHANGELOG.md index 431a693a..8ca25b67 100644 --- a/lib/datahub-client/CHANGELOG.md +++ b/lib/datahub-client/CHANGELOG.md @@ -7,6 +7,36 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [1.0.0] 2024-04-23 + +Large refactor of DatahubClient with breaking changes. + +### Added + +- Pydantic entity types +- `DataHubCatalogueClient`.`upsert_chart` + +### Changes + +- Exceptions thrown by DatahubClient are now imported from + `data_platform_catalogue.client.exceptions` +- Upsert methods of `DatahubClient` simplified to `upsert_table`, + `upsert_database` etc +- Renamed `last_updated` to datahub-friendly `last_modified`. +- Renamed `first_created` to datahub-friendly `created`. +- Use `urn` rather than `id` in datahub related contexts. + +### Removed + +- `BaseCatalogueClient` class +- References to data products in methods and classes +- `DataHubCatalogueClient`.`upsert_data_product` +- `DataHubCatalogueClient`.`upsert_athena_table` +- `DataHubCatalogueClient`.`upsert_athena_database` +- `DataHubCatalogueClient`.`list_data_product_assets` +- `DatabaseStatus` +- `SecurityClassification` + ## [0.24.2] 2024-04-16 ### Changed @@ -56,7 +86,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - `_parse_relations` function to `graphql_helpers` - `_parse_types_and_sub_types` method to `search.SearchClient` - `_get_fully_qualified_name` method to `search.SearchClient` -- `relationships`, `last_updated`, `owner`, `owner_email` to `entities.TableMetadata` +- `relationships`, `last_modified`, `owner`, `owner_email` to `entities.TableMetadata` ### Changed diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index ed3202dc..a06df70e 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -19,10 +19,6 @@ pip install ministryofjustice-data-platform-catalogue ## Terminology - **Data assets** - Any databases, tables, or schemas within the metadata graph -- **Data products** - Groupings of data assets that are published for - reuse across MOJ. In the data platform, the concepts of database and data - product are similar, but they may be represented as different entities in the - catalogue. - **Domains** - allow metadata to be grouped into different service areas that have their own governance, like HMCTS, HMPPS, OPG, etc. @@ -132,13 +128,6 @@ URNs: ### DataHub -- Each data product within the MOJ data platform is created as a data product entity - Each table is created as a dataset in DataHub - Tables that reside in the same athena database (data_product_v1) should be placed within the same DataHub container. - -## OpenMetadata - -- Each MOJ data product is mapped to a database in the OpenMetadata catalogue -- We populate the schema level in openmetdata with a generic entry of `Tables` -- Each table is mapped to a table in openmetadata diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py deleted file mode 100644 index 4155a3e7..00000000 --- a/lib/datahub-client/data_platform_catalogue/__init__.py +++ /dev/null @@ -1,8 +0,0 @@ -from .client import CatalogueError, ReferencedEntityMissing # noqa: F401 -from .entities import ( # noqa: F401 - CatalogueMetadata, - DatabaseMetadata, - DataLocation, - DataProductMetadata, - TableMetadata, -) diff --git a/lib/datahub-client/data_platform_catalogue/client/README.md b/lib/datahub-client/data_platform_catalogue/client/README.md new file mode 100644 index 00000000..8a3d715c --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/README.md @@ -0,0 +1,133 @@ +# Data platform catalogue + +This library is part of the Ministry of Justice data platform. + +It publishes object metadata to a data catalogue, so that the +metadata can be made discoverable by consumers. + +Broadly speaking, a catalogue stores a _metadata graph_, consisting of +_data assets_. Data assets could be **tables**, **schemas** or **databases**. + +## How to install + +To install the package using `pip`, run: + +```shell +pip install ministryofjustice-data-platform-catalogue +``` + +## Terminology + +- **Data assets** - Any databases, tables, or schemas within the metadata graph +- **Domains** - allow metadata to be grouped into different service areas that have + their own governance, like HMCTS, HMPPS, OPG, etc. + +## Example usage + +```python +from data_platform_catalogue import ( + DataHubCatalogueClient, + BaseCatalogueClient, DataLocation, CatalogueMetadata, + DataProductMetadata, TableMetadata, + CatalogueError +) + +client: BaseCatalogueClient = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + +data_product = DataProductMetadata( + name = "my_data_product", + description = "bla bla", + version = "v1.0.0", + owner = "7804c127-d677-4900-82f9-83517e51bb94", + email = "justice@justice.gov.uk", + retention_period_in_days = 365, + domain = "LAA", + subdomain = "Legal Aid", + dpia_required = False +) + +table = TableMetadata( + name = "my_table", + description = "bla bla", + column_details=[ + {"name": "foo", "type": "string", "description": "a"}, + {"name": "bar", "type": "int", "description": "b"}, + ], + retention_period_in_days = 365, + major_version = 1 +) + +try: + table_fqn = client.upsert_table( + table=table, + data_product_metadata=data_product, + location=DataLocation("test_data_product_v1"), + ) +except CatalogueError: + print("oh no") +``` + +## Search example + +```python +response = client.search() + +# Total results across all pages +print(response.total_results) + +# Iterate over search results +for item in response.page_results: + print(item) + +# Iterate over facet options +for option in response.facets.options('domains'): + print(option.label) + print(option.value) + print(option.count) + +# Include a filter and sort +client.search( + filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])], + sort=SortOption(field="name", ascending=False) +) +``` + +## Search filters + +### Datahub + +Basic filters: + +- urn +- customProperties +- browsePaths / browsePathsV2 +- deprecated (boolean) +- removed (boolean) +- typeNames +- name, qualifiedName +- description, hasDescription + +Timestamps: + +- lastOperationTime (datetime) +- createdAt (timestamp) +- lastModifiedAt (timestamp) + +URNs: + +- platform / platformInstance +- tags, hasTags +- glossaryTerms, hasGlossaryTerms +- domains, hasDomain +- siblings +- owners, hasOwners +- roles, hasRoles +- container + +## Catalogue Implementations + +### DataHub + +- Each table is created as a dataset in DataHub +- Tables that reside in the same athena database (data_product_v1) should + be placed within the same DataHub container. diff --git a/lib/datahub-client/data_platform_catalogue/client/__init__.py b/lib/datahub-client/data_platform_catalogue/client/__init__.py index 44d4e8c7..e69de29b 100644 --- a/lib/datahub-client/data_platform_catalogue/client/__init__.py +++ b/lib/datahub-client/data_platform_catalogue/client/__init__.py @@ -1,3 +0,0 @@ -from .base import BaseCatalogueClient # noqa: F401 -from .base import CatalogueError # noqa: F401 -from .base import ReferencedEntityMissing # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/base.py b/lib/datahub-client/data_platform_catalogue/client/base.py deleted file mode 100644 index 6afc6c1a..00000000 --- a/lib/datahub-client/data_platform_catalogue/client/base.py +++ /dev/null @@ -1,135 +0,0 @@ -import logging -from abc import ABC, abstractmethod -from typing import Sequence - -from ..entities import ( - CatalogueMetadata, - ChartMetadata, - DataLocation, - DataProductMetadata, - TableMetadata, -) -from ..search_types import ( - MultiSelectFilter, - ResultType, - SearchFacets, - SearchResponse, - SortOption, -) - -logger = logging.getLogger(__name__) - - -class CatalogueError(Exception): - """ - Base class for all errors. - """ - - -class ReferencedEntityMissing(CatalogueError): - """ - A referenced entity (such as a user or tag) does not yet exist when - attempting to create a new metadata resource in the catalogue. - """ - - -class BaseCatalogueClient(ABC): - @abstractmethod - def upsert_database_service( - self, platform: str = "glue", display_name: str = "Data platform" - ) -> str: - pass - - @abstractmethod - def upsert_database( - self, - metadata: CatalogueMetadata | DataProductMetadata, - location: DataLocation, - ) -> str: - pass - - @abstractmethod - def upsert_schema( - self, metadata: DataProductMetadata, location: DataLocation - ) -> str: - pass - - @abstractmethod - def upsert_table( - self, - metadata: TableMetadata, - location: DataLocation, - data_product_metadata: DataProductMetadata | None = None, - ) -> str: - pass - - def search( - self, - query: str = "*", - count: int = 20, - page: str | None = None, - result_types: Sequence[ResultType] = ( - ResultType.DATA_PRODUCT, - ResultType.TABLE, - ResultType.CHART, - ResultType.DATABASE, - ), - filters: Sequence[MultiSelectFilter] = (), - sort: SortOption | None = None, - ) -> SearchResponse: - """ - Wraps the catalogue's search function. - """ - raise NotImplementedError - - def search_facets( - self, - query: str = "*", - result_types: Sequence[ResultType] = ( - ResultType.DATA_PRODUCT, - ResultType.TABLE, - ), - filters: Sequence[MultiSelectFilter] = (), - ) -> SearchFacets: - """ - Returns facets that can be used to filter the search results. - """ - raise NotImplementedError - - def list_data_products(self) -> SearchResponse: - return self.search(count=500, result_types=[ResultType.DATA_PRODUCT]) - - @abstractmethod - def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: - """ - returns a list of data product children - """ - pass - - @abstractmethod - def get_glossary_terms(self, count: int) -> SearchResponse: - """ - returns a searchresponse of glossary terms - """ - pass - - @abstractmethod - def get_table_details(self, urn) -> TableMetadata: - """ - returns the schema and detailed information about a table - """ - pass - - @abstractmethod - def get_chart_details(self, urn) -> ChartMetadata: - """ - returns detailed information about a chart - """ - pass - - @abstractmethod - def list_database_tables(self, urn: str, count: int) -> SearchResponse: - """ - returns a list of entities within a datahub container - """ - pass diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py b/lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py deleted file mode 100644 index 8b525dc1..00000000 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/__init__.py +++ /dev/null @@ -1 +0,0 @@ -from .datahub_client import DataHubCatalogueClient # noqa: F401 diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py deleted file mode 100644 index 8a639f95..00000000 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/datahub_client.py +++ /dev/null @@ -1,717 +0,0 @@ -from importlib.resources import files -from typing import Sequence - -import datahub.emitter.mce_builder as mce_builder -import datahub.metadata.schema_classes as schema_classes -from datahub.configuration.common import GraphError -from datahub.emitter.mce_builder import make_data_platform_urn -from datahub.emitter.mcp import MetadataChangeProposalWrapper -from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph -from datahub.ingestion.source.common.subtypes import ( - DatasetContainerSubTypes, - DatasetSubTypes, -) -from datahub.metadata.com.linkedin.pegasus2avro.common import DataPlatformInstance -from datahub.metadata.schema_classes import ( - ChangeTypeClass, - ContainerClass, - ContainerPropertiesClass, - DataProductAssociationClass, - DataProductPropertiesClass, - DatasetPropertiesClass, - DomainPropertiesClass, - DomainsClass, - OtherSchemaClass, - SchemaFieldClass, - SchemaFieldDataTypeClass, - SchemaMetadataClass, - SubTypesClass, -) - -from ...entities import ( - CatalogueMetadata, - ChartMetadata, - DatabaseMetadata, - DataLocation, - DataProductMetadata, - RelationshipType, - TableMetadata, -) -from ...search_types import ( - MultiSelectFilter, - ResultType, - SearchFacets, - SearchResponse, - SortOption, -) -from ..base import BaseCatalogueClient, CatalogueError, logger -from .graphql_helpers import ( - parse_columns, - parse_created_and_modified, - parse_domain, - parse_owner, - parse_properties, - parse_relations, - parse_tags, -) -from .search import SearchClient - -DATAHUB_DATA_TYPE_MAPPING = { - "boolean": schema_classes.BooleanTypeClass(), - "tinyint": schema_classes.NumberTypeClass(), - "smallint": schema_classes.NumberTypeClass(), - "int": schema_classes.NumberTypeClass(), - "integer": schema_classes.NumberTypeClass(), - "bigint": schema_classes.NumberTypeClass(), - "double": schema_classes.NumberTypeClass(), - "float": schema_classes.NumberTypeClass(), - "decimal": schema_classes.NumberTypeClass(), - "char": schema_classes.StringTypeClass(), - "varchar": schema_classes.StringTypeClass(), - "string": schema_classes.StringTypeClass(), - "date": schema_classes.DateTypeClass(), - "timestamp": schema_classes.TimeTypeClass(), -} - - -class InvalidDomain(Exception): - """ - Exception thrown when a domain does not exist - """ - - -class MissingDatabaseMetadata(Exception): - """ - Exception thrown when a database is attempted to be ingested without - a given metadata specification - """ - - -class DataHubCatalogueClient(BaseCatalogueClient): - """Client for pushing metadata to the DataHub catalogue. - - Tables in the DataHub catalogue are arranged into the following hierarchy: - DataPlatform -> Dataset - - This client uses the General Metadata Service (GMS, https://datahubproject.io/docs/what/gms/) - of DataHub to create and update metadata within DataHub. This is implemented in the - python SDK as the 'python emitter' - https://datahubproject.io/docs/metadata-ingestion/as-a-library. - - If there is a problem communicating with the catalogue, methods will raise an - instance of CatalogueError. - """ - - def __init__(self, jwt_token, api_url: str, graph=None): - """Create a connection to the DataHub GMS endpoint for class methods to use. - - Args: - jwt_token: client token for interacting with the provided DataHub instance. - api_url (str, optional): GMS endpoint for the DataHub instance for the client object. - """ - if api_url.endswith("/"): - api_url = api_url[:-1] - if api_url.endswith("/api/gms") or api_url.endswith(":8080"): - self.gms_endpoint = api_url - elif api_url.endswith("/api"): - self.gms_endpoint = api_url + "/gms" - else: - raise CatalogueError("api_url is incorrectly formatted") - - self.server_config = DatahubClientConfig( - server=self.gms_endpoint, token=jwt_token - ) - self.graph = graph or DataHubGraph(self.server_config) - self.search_client = SearchClient(self.graph) - - self.dataset_query = ( - files("data_platform_catalogue.client.datahub.graphql") - .joinpath("getDatasetDetails.graphql") - .read_text() - ) - self.chart_query = ( - files("data_platform_catalogue.client.datahub.graphql") - .joinpath("getChartDetails.graphql") - .read_text() - ) - - def check_entity_exists_by_urn(self, urn: str | None): - if urn is not None: - exists = self.graph.exists(entity_urn=urn) - else: - exists = False - - return exists - - def upsert_database_service(self, platform: str = "glue", *args, **kwargs) -> str: - """ - Define a DataHub 'Data Platform'. This is a type of connection, e.g. 'hive' or 'glue'. - - Returns the fully qualified name of the metadata object in the catalogue. - """ - - raise NotImplementedError - - def upsert_database( - self, metadata: CatalogueMetadata | DataProductMetadata, location: DataLocation - ) -> str: - """ - Define a database. Not implemented for DataHub, which uses Data Platforms + Datasets only. - """ - raise NotImplementedError - - def upsert_schema( - self, metadata: DataProductMetadata, location: DataLocation - ) -> str: - """ - Define a database. Not implemented for DataHub, which uses Data Platforms + Datasets only. - """ - raise NotImplementedError - - def create_domain( - self, domain: str, description: str = "", parentDomain: str | None = None - ) -> str: - """Create a Domain, a logical collection of Data assets (Data Products). - - Args: - metadata (DataProductMetadata): _description_ - """ - domain_properties = DomainPropertiesClass( - name=domain, description=description, parentDomain=parentDomain - ) - - domain_urn = mce_builder.make_domain_urn(domain=domain) - - metadata_event = MetadataChangeProposalWrapper( - entityType="domain", - changeType=ChangeTypeClass.UPSERT, - entityUrn=domain_urn, - aspect=domain_properties, - ) - self.graph.emit(metadata_event) - - return domain_urn - - def upsert_athena_database(self, metadata: DatabaseMetadata) -> str: - """ - Define a database. Must belong to a domain - """ - metadata_dict = dict(metadata.__dict__) - metadata_dict.pop("version") - metadata_dict.pop("owner") - metadata_dict.pop("tags") - - name = metadata_dict.pop("name") - description = metadata_dict.pop("description") - - database_urn = "urn:li:container:" + "".join(name.split()) - - domain = metadata_dict.pop("domain") - domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain) - - # domains are to be controlled and limited so we dont want to create one - # when it doesn't exist - domain_exists = self.check_entity_exists_by_urn(domain_urn) - if not domain_exists: - raise InvalidDomain( - f"{domain} does not exist in datahub - please align data to an existing domain" - ) - - database_domain = DomainsClass(domains=[domain_urn]) - - if domain_urn is not None: - metadata_event = MetadataChangeProposalWrapper( - entityType="container", - changeType=ChangeTypeClass.UPSERT, - entityUrn=database_urn, - aspect=database_domain, - ) - self.graph.emit(metadata_event) - logger.info(f"Database {name} associated with domain {domain}") - - database_properties = ContainerPropertiesClass( - customProperties={key: str(val) for key, val in metadata_dict.items()}, - description=description, - name=name, - ) - metadata_event = MetadataChangeProposalWrapper( - entityType="container", - changeType=ChangeTypeClass.UPSERT, - entityUrn=database_urn, - aspect=database_properties, - ) - self.graph.emit(metadata_event) - logger.info(f"Properties updated for Database {name} ") - - # set platform to athena - metadata_event = MetadataChangeProposalWrapper( - entityUrn=database_urn, - aspect=DataPlatformInstance( - platform="urn:li:dataPlatform:athena", - ), - ) - self.graph.emit(metadata_event) - logger.info(f"Platform updated for Database {name} ") - - # container type update - metadata_event = MetadataChangeProposalWrapper( - entityUrn=database_urn, - aspect=SubTypesClass(typeNames=[DatasetContainerSubTypes.DATABASE]), - ) - self.graph.emit(metadata_event) - logger.info(f"Type updated for Database {name} ") - - return database_urn - - def upsert_athena_table( - self, - metadata: TableMetadata, - database_metadata: DatabaseMetadata | None = None, - ) -> str: - if not metadata.parent_entity_name: - raise ValueError("parent_entity_name needs to be set in TableMetadata") - - fully_qualified_name = f"{metadata.parent_entity_name}.{metadata.name}" - - dataset_urn = mce_builder.make_dataset_urn( - platform="athena", name=fully_qualified_name, env="PROD" - ) - # jscpd:ignore-start - dataset_properties = DatasetPropertiesClass( - name=metadata.name, - qualifiedName=fully_qualified_name, - description=metadata.description, - customProperties={ - "sourceDatasetName": metadata.source_dataset_name, - "whereToAccessDataset": metadata.where_to_access_dataset, - "sensitivityLevel": metadata.data_sensitivity_level.name, - **( - {"rowCount": str(metadata.row_count)} - if metadata.row_count is not None - else {} - ), - }, - ) - - metadata_event = MetadataChangeProposalWrapper( - entityUrn=dataset_urn, - aspect=dataset_properties, - ) - self.graph.emit(metadata_event) - - dataset_schema_properties = SchemaMetadataClass( - schemaName=metadata.name, - platform="urn:li:dataPlatform:athena", - version=metadata.major_version, - hash="", - platformSchema=OtherSchemaClass(rawSchema=""), - fields=[ - SchemaFieldClass( - fieldPath=f"{column['name']}", - type=SchemaFieldDataTypeClass( - type=DATAHUB_DATA_TYPE_MAPPING[column["type"]] - ), - nativeDataType=column["type"], - description=column["description"], - ) - for column in metadata.column_details - ], - ) - - metadata_event = MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_urn, - aspect=dataset_schema_properties, - ) - self.graph.emit(metadata_event) - - # set dataset type to table - metadata_event = MetadataChangeProposalWrapper( - entityUrn=dataset_urn, - aspect=SubTypesClass(typeNames=[DatasetSubTypes.TABLE]), - ) - - self.graph.emit(metadata_event) - - if metadata.tags: - tags_to_add = mce_builder.make_global_tag_aspect_with_tag_list( - tags=metadata.tags - ) - event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_urn, - aspect=tags_to_add, - ) - self.graph.emit(event) - # jscpd:ignore-end - - database_urn = "urn:li:container:" + "".join( - metadata.parent_entity_name.split() - ) - - database_exists = self.check_entity_exists_by_urn(urn=database_urn) - - if not database_exists and database_metadata: - database_urn = self.upsert_athena_database(metadata=database_metadata) - domain_urn = self.graph.get_domain_urn_by_name( - domain_name=database_metadata.domain - ) - elif not database_exists and not database_metadata: - raise MissingDatabaseMetadata( - "DatabaseMetadata object needs to be passed in to create a database" - ) - - # add dataset to database - metadata_event = MetadataChangeProposalWrapper( - entityUrn=dataset_urn, - aspect=ContainerClass(container=database_urn), - ) - - self.graph.emit(metadata_event) - - # add domain to table - tables inherit the domain of parent database if not given - if metadata.domain: - domain_urn = self.graph.get_domain_urn_by_name(domain_name=metadata.domain) - else: - domain_urn = self.graph.get_aspect( - entity_urn=database_urn, aspect_type=DomainsClass - ).domains[0] - - domain_exists = self.check_entity_exists_by_urn(domain_urn) - if not domain_exists: - raise InvalidDomain( - f"{metadata.domain} does not exist in datahub - please align data to an existing domain" - ) - - if domain_urn is not None: - table_domain = DomainsClass(domains=[domain_urn]) - metadata_event = MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_urn, - aspect=table_domain, - ) - - self.graph.emit(metadata_event) - - return dataset_urn - - def upsert_data_product(self, metadata: DataProductMetadata): - """ - Define a data product. Must belong to a domain - """ - metadata_dict = dict(metadata.__dict__) - metadata_dict.pop("version") - metadata_dict.pop("owner") - metadata_dict.pop("tags") - - name = metadata_dict.pop("name") - description = metadata_dict.pop("description") - - data_product_urn = "urn:li:dataProduct:" + "".join(name.split()) - - domain = metadata_dict.pop("domain") - domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain) - - if domain_urn is None: - logger.info(f"creating new domain {domain} for {name}") - domain_urn = self.create_domain(domain=domain) - - subdomain_urn = None - if metadata.subdomain: - subdomain = metadata_dict.pop("subdomain") - subdomain_urn = self.graph.get_domain_urn_by_name(domain_name=subdomain) - - if subdomain_urn is None: - logger.info(f"creating new subdomain {domain} for {name}") - domain_urn = self.create_domain( - domain=subdomain, parentDomain=domain_urn - ) - - data_product_domain = DomainsClass( - domains=[subdomain_urn if subdomain_urn else domain_urn] - ) - metadata_event = MetadataChangeProposalWrapper( - entityType="dataproduct", - changeType=ChangeTypeClass.UPSERT, - entityUrn=data_product_urn, - aspect=data_product_domain, - ) - self.graph.emit(metadata_event) - logger.info(f"Data Product {name} associated with domain {domain}") - - data_product_properties = DataProductPropertiesClass( - customProperties={key: str(val) for key, val in metadata_dict.items()}, - description=description, - name=name, - ) - metadata_event = MetadataChangeProposalWrapper( - entityType="dataproduct", - changeType=ChangeTypeClass.UPSERT, - entityUrn=data_product_urn, - aspect=data_product_properties, - ) - self.graph.emit(metadata_event) - logger.info(f"Properties updated for Data Product {name} ") - - return data_product_urn - - def upsert_table( - self, - metadata: TableMetadata, - location: DataLocation, - data_product_metadata: DataProductMetadata | None = None, - ) -> str: - """ - Define a table (a 'dataset' in DataHub parlance), a 'collection of data' - (https://datahubproject.io/docs/metadata-modeling/metadata-model#the-core-entities). - - There can be many tables per Data Product. - - Columns are expected to be a list of dicts in the format - {"name": "column1", "type": "string", "description": "just an example"} - - This method creates a schemaMetadata aspect object from the metadata object - (https://datahubproject.io/docs/generated/metamodel/entities/dataset/#schemametadata) - together with generating a unique reference name (URN) for the dataset used by DataHub. - These are then emitted to the rest.li api as a dataset creation/update event proposal. - - If tags are present in the metadata object, a second request is made to update the dataset - with these tags as a separate aspect. - - Args: - metadata (TableMetadata): metadata object. - platform (str, optional): DataHub data platform type. Defaults to "glue". - version (int, optional): Defaults to 1. - - Returns: - dataset_urn: the dataset URN - """ - if location.fully_qualified_name: - name = f"{location.fully_qualified_name}.{metadata.name}" - else: - name = metadata.name - - dataset_urn = mce_builder.make_dataset_urn( - platform=location.platform_id, name=name, env="PROD" - ) - - dataset_properties = DatasetPropertiesClass( - name=metadata.name, - qualifiedName=name, - description=metadata.description, - customProperties={ - "sourceDatasetName": metadata.source_dataset_name, - "whereToAccessDataset": metadata.where_to_access_dataset, - "sensitivityLevel": metadata.data_sensitivity_level.name, - "rowCount": "1177", - }, - ) - - metadata_event = MetadataChangeProposalWrapper( - entityUrn=dataset_urn, - aspect=dataset_properties, - ) - self.graph.emit(metadata_event) - - dataset_schema_properties = SchemaMetadataClass( - schemaName=metadata.name, - platform=make_data_platform_urn(platform=location.platform_id), - version=metadata.major_version, - hash="", - platformSchema=OtherSchemaClass(rawSchema=""), - fields=[ - SchemaFieldClass( - fieldPath=f"{column['name']}", - type=SchemaFieldDataTypeClass( - type=DATAHUB_DATA_TYPE_MAPPING[column["type"]] - ), - nativeDataType=column["type"], - description=column["description"], - ) - for column in metadata.column_details - ], - ) - - metadata_event = MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_urn, - aspect=dataset_schema_properties, - ) - self.graph.emit(metadata_event) - - if metadata.tags: - tags_to_add = mce_builder.make_global_tag_aspect_with_tag_list( - tags=metadata.tags - ) - event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( - entityType="dataset", - changeType=ChangeTypeClass.UPSERT, - entityUrn=dataset_urn, - aspect=tags_to_add, - ) - self.graph.emit(event) - - if data_product_metadata is not None: - data_product_urn = "urn:li:dataProduct:" + "".join( - data_product_metadata.name.split() - ) - data_product_exists = self.graph.exists(entity_urn=data_product_urn) - - if not data_product_exists: - data_product_urn = self.upsert_data_product( - metadata=data_product_metadata - ) - - data_product_existing_properties = self.graph.get_aspect( - entity_urn=data_product_urn, aspect_type=DataProductPropertiesClass - ) - - data_product_association = DataProductAssociationClass( - destinationUrn=dataset_urn, sourceUrn=data_product_urn - ) - - if ( - data_product_existing_properties is not None - and data_product_existing_properties.assets is not None - ): - assets = data_product_existing_properties.assets[::] - if data_product_association not in assets: - assets.append(data_product_association) - else: - assets = [data_product_association] - - data_product_properties = DataProductPropertiesClass( - description=data_product_existing_properties.description, - name=data_product_existing_properties.name, - customProperties=data_product_existing_properties.customProperties, - assets=assets, - ) - - metadata_event = MetadataChangeProposalWrapper( - entityType="dataproduct", - changeType=ChangeTypeClass.UPSERT, - entityUrn=data_product_urn, - aspect=data_product_properties, - ) - self.graph.emit(metadata_event) - - return dataset_urn - - def search( - self, - query: str = "*", - count: int = 20, - page: str | None = None, - result_types: Sequence[ResultType] = ( - ResultType.DATA_PRODUCT, - ResultType.TABLE, - ResultType.CHART, - ResultType.DATABASE, - ), - filters: Sequence[MultiSelectFilter] = (), - sort: SortOption | None = None, - ) -> SearchResponse: - """ - Wraps the catalogue's search function. - """ - return self.search_client.search( - query=query, - count=count, - page=page, - result_types=result_types, - filters=filters, - sort=sort, - ) - - def search_facets( - self, - query: str = "*", - result_types: Sequence[ResultType] = ( - ResultType.DATA_PRODUCT, - ResultType.TABLE, - ResultType.CHART, - ), - filters: Sequence[MultiSelectFilter] = (), - ) -> SearchFacets: - """ - Returns facets that can be used to filter the search results. - """ - return self.search_client.search_facets( - query=query, result_types=result_types, filters=filters - ) - - def list_data_product_assets(self, urn, count, start=0) -> SearchResponse: - """ - returns a list of data product children - """ - return self.search_client.list_data_product_assets( - urn=urn, count=count, start=start - ) - - def get_glossary_terms(self, count: int = 1000) -> SearchResponse: - """Wraps the client's glossary terms query""" - return self.search_client.get_glossary_terms(count) - - def get_table_details(self, urn) -> TableMetadata: - try: - response = self.graph.execute_graphql(self.dataset_query, {"urn": urn})[ - "dataset" - ] - properties, custom_properties = parse_properties(response) - columns = parse_columns(response) - domain = parse_domain(response) - owner, owner_email = parse_owner(response) - tags = parse_tags(response) - name = properties.get("name", response.get("name")) - created, modified = parse_created_and_modified(properties) - - # A dataset can't have both a container and data product parent, but if we did - # start to use in that we'd need to change this - if response["container_relations"]["total"] > 0: - relations = parse_relations( - RelationshipType.PARENT, response["container_relations"] - ) - elif response["data_product_relations"]["total"] > 0: - relations = parse_relations( - RelationshipType.PARENT, response["data_product_relations"] - ) - else: - relations = {} - return TableMetadata( - name=name, - fully_qualified_name=properties.get("qualifiedName") or name, - description=properties.get("description", ""), - column_details=columns, - retention_period_in_days=custom_properties.get("retentionPeriodInDays"), - relationships=relations, - domain=domain["domain_name"], - tags=tags, - owner=owner, - owner_email=owner_email, - first_created=created, - last_updated=modified, - ) - except GraphError as e: - raise Exception("Unable to execute getDataset query") from e - - def get_chart_details(self, urn) -> ChartMetadata: - try: - response = self.graph.execute_graphql(self.chart_query, {"urn": urn})[ - "chart" - ] - properties, custom_properties = parse_properties(response) - - return ChartMetadata( - name=properties["name"], - description=properties.get("description", ""), - external_url=properties["externalUrl"], - ) - except GraphError as e: - raise Exception("Unable to execute getDataset query") from e - - def list_database_tables(self, urn: str, count: int) -> SearchResponse: - """Wraps the client's listDatabaseEntities query""" - return self.search_client.list_database_tables(urn=urn, count=count) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql b/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql deleted file mode 100644 index 6146c282..00000000 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listDataProductAssets.graphql +++ /dev/null @@ -1,106 +0,0 @@ -query dataProductDetails( - $urn: String! - $query: String! - $count: Int! - $start: Int! -) { - listDataProductAssets( - urn: $urn - input: { query: $query, start: $start, count: $count } - ) { - start - count - total - searchResults { - entity { - type - ... on Dataset { - urn - type - platform { - name - } - relationships( - input: { - types: ["DataProductContains"] - direction: INCOMING - count: 10 - } - ) { - total - relationships { - entity { - urn - ... on DataProduct { - properties { - name - } - } - } - } - } - ownership { - owners { - owner { - ... on CorpUser { - urn - properties { - fullName - email - } - } - ... on CorpGroup { - urn - properties { - displayName - email - } - } - } - } - } - name - properties { - name - qualifiedName - description - customProperties { - key - value - } - created - lastModified { - time - actor - } - } - editableProperties { - description - } - tags { - tags { - tag { - urn - properties { - name - description - } - } - } - } - lastIngested - domain { - domain { - urn - id - properties { - name - description - } - } - } - } - } - } - } -} diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub_client.py new file mode 100644 index 00000000..3d41522f --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/datahub_client.py @@ -0,0 +1,537 @@ +import json +import logging +from importlib.resources import files +from typing import Sequence + +from data_platform_catalogue.client.exceptions import ( + AspectDoesNotExist, + CatalogueError, + EntityDoesNotExist, + InvalidDomain, + ReferencedEntityMissing, +) +from data_platform_catalogue.client.graphql_helpers import ( + parse_columns, + parse_created_and_modified, + parse_domain, + parse_owner, + parse_properties, + parse_relations, + parse_tags, +) +from data_platform_catalogue.client.search import SearchClient +from data_platform_catalogue.entities import ( + Chart, + CustomEntityProperties, + Database, + EntityRef, + Governance, + OwnerRef, + RelationshipType, + Table, +) +from data_platform_catalogue.search_types import ( + MultiSelectFilter, + ResultType, + SearchFacets, + SearchResponse, + SortOption, +) +from datahub.emitter import mce_builder +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph +from datahub.ingestion.source.common.subtypes import ( + DatasetContainerSubTypes, + DatasetSubTypes, +) +from datahub.metadata import schema_classes +from datahub.metadata.com.linkedin.pegasus2avro.common import DataPlatformInstance +from datahub.metadata.schema_classes import ( + ChangeTypeClass, + ContainerClass, + ContainerPropertiesClass, + DatasetPropertiesClass, + DomainPropertiesClass, + DomainsClass, + OtherSchemaClass, + SchemaFieldClass, + SchemaFieldDataTypeClass, + SchemaMetadataClass, + SubTypesClass, +) + +logger = logging.getLogger(__name__) + + +DATAHUB_DATA_TYPE_MAPPING = { + "boolean": schema_classes.BooleanTypeClass(), + "tinyint": schema_classes.NumberTypeClass(), + "smallint": schema_classes.NumberTypeClass(), + "int": schema_classes.NumberTypeClass(), + "integer": schema_classes.NumberTypeClass(), + "bigint": schema_classes.NumberTypeClass(), + "double": schema_classes.NumberTypeClass(), + "float": schema_classes.NumberTypeClass(), + "decimal": schema_classes.NumberTypeClass(), + "char": schema_classes.StringTypeClass(), + "varchar": schema_classes.StringTypeClass(), + "string": schema_classes.StringTypeClass(), + "date": schema_classes.DateTypeClass(), + "timestamp": schema_classes.TimeTypeClass(), +} + + +class DataHubCatalogueClient: + """Client for pushing metadata to the DataHub catalogue. + + Tables in the DataHub catalogue are arranged into the following hierarchy: + DataPlatform -> Dataset + + This client uses the General Metadata Service (GMS, https://datahubproject.io/docs/what/gms/) + of DataHub to create and update metadata within DataHub. This is implemented in the + python SDK as the 'python emitter' - https://datahubproject.io/docs/metadata-ingestion/as-a-library. + + If there is a problem communicating with the catalogue, methods will raise an + instance of CatalogueError. + """ + + def __init__(self, jwt_token, api_url: str, graph=None): + """Create a connection to the DataHub GMS endpoint for class methods to use. + + Args: + jwt_token: client token for interacting with the provided DataHub instance. + api_url (str, optional): GMS endpoint for the DataHub instance for the client object. + """ + if api_url.endswith("/"): + api_url = api_url[:-1] + if api_url.endswith("/api/gms") or api_url.endswith(":8080"): + self.gms_endpoint = api_url + elif api_url.endswith("/api"): + self.gms_endpoint = api_url + "/gms" + else: + raise CatalogueError("api_url is incorrectly formatted") + + self.server_config = DatahubClientConfig( + server=self.gms_endpoint, token=jwt_token + ) + self.graph = graph or DataHubGraph(self.server_config) + self.search_client = SearchClient(self.graph) + + self.dataset_query = ( + files("data_platform_catalogue.client.graphql") + .joinpath("getDatasetDetails.graphql") + .read_text() + ) + self.chart_query = ( + files("data_platform_catalogue.client.graphql") + .joinpath("getChartDetails.graphql") + .read_text() + ) + + def check_entity_exists_by_urn(self, urn: str | None): + if urn is not None: + exists = self.graph.exists(entity_urn=urn) + else: + exists = False + + return exists + + def create_domain( + self, domain: str, description: str = "", parent_domain: str | None = None + ) -> str: + """Create a Domain, a logical collection of entities + + Args: + domain (str): name of the new Domain + description (str, optional): Description of the new Domain. Defaults to "". + parent_domain (str | None, optional): Declared child relationship to existing Domains. + Defaults to None. + + Returns: + str: urn of the created Domain + """ + domain_properties = DomainPropertiesClass( + name=domain, description=description, parentDomain=parent_domain + ) + + domain_urn = mce_builder.make_domain_urn(domain=domain) + + metadata_event = MetadataChangeProposalWrapper( + entityType="domain", + changeType=ChangeTypeClass.UPSERT, + entityUrn=domain_urn, + aspect=domain_properties, + ) + self.graph.emit(metadata_event) + + return domain_urn + + def search( + self, + query: str = "*", + count: int = 20, + page: str | None = None, + result_types: Sequence[ResultType] = ( + ResultType.TABLE, + ResultType.CHART, + ResultType.DATABASE, + ), + filters: Sequence[MultiSelectFilter] = (), + sort: SortOption | None = None, + ) -> SearchResponse: + """ + Wraps the catalogue's search function. + """ + return self.search_client.search( + query=query, + count=count, + page=page, + result_types=result_types, + filters=filters, + sort=sort, + ) + + def search_facets( + self, + query: str = "*", + result_types: Sequence[ResultType] = ( + ResultType.TABLE, + ResultType.CHART, + ), + filters: Sequence[MultiSelectFilter] = (), + ) -> SearchFacets: + """ + Returns facets that can be used to filter the search results. + """ + return self.search_client.search_facets( + query=query, result_types=result_types, filters=filters + ) + + def get_glossary_terms(self, count: int = 1000) -> SearchResponse: + """Wraps the client's glossary terms query""" + return self.search_client.get_glossary_terms(count) + + def get_table_details(self, urn) -> Table: + if self.check_entity_exists_by_urn(urn): + response = self.graph.execute_graphql(self.dataset_query, {"urn": urn})[ + "dataset" + ] + platform_name = response["platform"]["name"] + properties, custom_properties = parse_properties(response) + columns = parse_columns(response) + domain = parse_domain(response) + owner = parse_owner(response) + tags = parse_tags(response) + name = properties.get("name", response.get("name")) + created, modified = parse_created_and_modified(properties) + + # A dataset can't have multiple parents, but if we did + # start to use in that we'd need to change this + if response["container_relations"]["total"] > 0: + relations = parse_relations( + RelationshipType.PARENT, response["container_relations"] + ) + else: + relations = {} + return Table( + urn=None, + display_name=properties.get("qualifiedName") or name, + name=name, + fully_qualified_name=properties.get("qualifiedName") or name, + description=properties.get("description", ""), + relationships=relations, + domain=domain, + governance=Governance( + data_owner=owner, + data_stewards=[owner], + ), + tags=tags, + last_modified=modified, + created=created, + column_details=columns, + custom_properties=custom_properties, + platform=EntityRef(display_name=platform_name, urn=platform_name), + ) + raise EntityDoesNotExist(f"Table with urn: {urn} does not exist") + + def get_chart_details(self, urn) -> Chart: + if self.check_entity_exists_by_urn(urn): + response = self.graph.execute_graphql(self.chart_query, {"urn": urn})[ + "chart" + ] + platform_name = response["platform"]["name"] + properties, custom_properties = parse_properties(response) + domain = parse_domain(response) + owner = parse_owner(response) + tags = parse_tags(response) + + return Chart( + urn=urn, + external_url=properties.get("externalUrl", ""), + description=properties.get("description", ""), + display_name=properties.get("displayName", properties.get("name")), + name=properties["name"], + fully_qualified_name=properties.get( + "qualifiedName", properties.get("name") + ), + domain=domain, + governance=Governance( + data_owner=owner, + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + tags=tags, + platform=EntityRef(display_name=platform_name, urn=platform_name), + custom_properties=custom_properties, + ) + + raise EntityDoesNotExist(f"Chart with urn: {urn} does not exist") + + # to expand on and replace `list_database_tables` will need new graphql query i expect + # but will be more equivelent to the get chart and table details methods. + def get_database_details(self, urn: str) -> Database: + raise NotImplementedError + + def upsert_table(self, table: Table) -> str: + """Define a table. Must belong to a domain.""" + parent_relationships = table.relationships.get(RelationshipType.PARENT, []) + if not parent_relationships: + raise ValueError("A parent entity needs to be included in relationships") + + parent_name = table.relationships[RelationshipType.PARENT][0].display_name + fully_qualified_name = generate_fqn( + parent_name=parent_name, dataset_name=table.name + ) + + dataset_urn = mce_builder.make_dataset_urn( + platform=table.platform.display_name, + name=fully_qualified_name, + env="PROD", + ) + # jscpd:ignore-start + dataset_properties = DatasetPropertiesClass( + name=table.name, + qualifiedName=fully_qualified_name, + description=table.description, + customProperties=self._get_custom_property_key_value_pairs( + table.custom_properties + ), + ) + + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=dataset_properties, + ) + self.graph.emit(metadata_event) + + dataset_schema_properties = SchemaMetadataClass( + schemaName=table.name, + platform=table.platform.urn, + version=1, + hash="", + platformSchema=OtherSchemaClass(rawSchema=""), + fields=[ + SchemaFieldClass( + fieldPath=f"{column.name}", + type=SchemaFieldDataTypeClass( + type=DATAHUB_DATA_TYPE_MAPPING[column.type] # type: ignore + ), + nativeDataType=column.type, + description=column.description, + ) + for column in table.column_details + ], + ) + + metadata_event = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=dataset_schema_properties, + ) + self.graph.emit(metadata_event) + + # set dataset type to table + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=SubTypesClass(typeNames=[DatasetSubTypes.TABLE]), + ) + + self.graph.emit(metadata_event) + + if table.tags: + tags_to_add = mce_builder.make_global_tag_aspect_with_tag_list( + tags=[str(tag.display_name) for tag in table.tags] + ) + event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=tags_to_add, + ) + self.graph.emit(event) + # jscpd:ignore-end + + database_urn = table.relationships[RelationshipType.PARENT][0].urn + + database_exists = self.check_entity_exists_by_urn(urn=database_urn) + + if not database_exists: + raise ReferencedEntityMissing( + f"Database referenced by urn {database_urn} does not exist" + ) + + # add dataset to database + metadata_event = MetadataChangeProposalWrapper( + entityUrn=dataset_urn, + aspect=ContainerClass(container=database_urn), + ) + + self.graph.emit(metadata_event) + + # add domain to table - tables inherit the domain of parent database if not given + if table.domain: + domain_urn = self.graph.get_domain_urn_by_name( + domain_name=table.domain.display_name + ) + else: + domain_aspect = self.graph.get_aspect( + entity_urn=database_urn, aspect_type=DomainsClass + ) + if not domain_aspect: + raise AspectDoesNotExist( + f"Aspect `domains` does not exist for entity with urn {database_urn}" + ) + domain_urn = domain_aspect.domains[0] + + domain_exists = self.check_entity_exists_by_urn(domain_urn) + if not domain_exists: + raise InvalidDomain( + f"{table.domain} does not exist in datahub - please align data to an existing domain" + ) + + if domain_urn is not None: + table_domain = DomainsClass(domains=[domain_urn]) + metadata_event = MetadataChangeProposalWrapper( + entityType="dataset", + changeType=ChangeTypeClass.UPSERT, + entityUrn=dataset_urn, + aspect=table_domain, + ) + + self.graph.emit(metadata_event) + + return dataset_urn + + def upsert_chart(self, chart: Chart) -> str: + raise NotImplementedError + + def upsert_database(self, database: Database): + """ + Define a database. Must belong to a domain + """ + name = database.name + description = database.description + + database_urn = "urn:li:container:" + "".join(name.split()) + + domain = database.domain + domain_urn = self.graph.get_domain_urn_by_name(domain_name=domain.display_name) + + # domains are to be controlled and limited so we dont want to create one + # when it doesn't exist + if not self.check_entity_exists_by_urn(domain_urn): + raise InvalidDomain( + f"{domain} does not exist in datahub - please align data to an existing domain" + ) + + database_domain = DomainsClass(domains=[domain_urn]) # type: ignore + + metadata_event = MetadataChangeProposalWrapper( + entityType="container", + changeType=ChangeTypeClass.UPSERT, + entityUrn=database_urn, + aspect=database_domain, + ) + self.graph.emit(metadata_event) + logger.info(f"Database {name} associated with domain {domain}") + + database_properties = ContainerPropertiesClass( + customProperties=self._get_custom_property_key_value_pairs( + database.custom_properties + ), + description=description, + name=name, + ) + metadata_event = MetadataChangeProposalWrapper( + entityType="container", + changeType=ChangeTypeClass.UPSERT, + entityUrn=database_urn, + aspect=database_properties, + ) + self.graph.emit(metadata_event) + logger.info(f"Properties updated for Database {name} ") + + # set platform + metadata_event = MetadataChangeProposalWrapper( + entityUrn=database_urn, + aspect=DataPlatformInstance( + platform=database.platform.urn, + ), + ) + self.graph.emit(metadata_event) + logger.info(f"Platform updated for Database {name} ") + + # container type update + metadata_event = MetadataChangeProposalWrapper( + entityUrn=database_urn, + aspect=SubTypesClass(typeNames=[DatasetContainerSubTypes.DATABASE]), + ) + self.graph.emit(metadata_event) + logger.info(f"Type updated for Database {name} ") + + return database_urn + + def list_database_tables(self, urn: str, count: int) -> SearchResponse: + """Wraps the client's listDatabaseEntities query""" + return self.search_client.list_database_tables(urn=urn, count=count) + + def _get_custom_property_key_value_pairs( + self, + custom_properties: CustomEntityProperties, + ) -> dict: + """ + get each custom property as an unnested key/value pair. + we cannot push nested structures to datahub custom properties + """ + custom_properties_dict = json.loads( + custom_properties.model_dump_json(), parse_int=str + ) + custom_properties_unnested = self._flatten_dict(custom_properties_dict) + custom_properties_unnested_all_string_values = { + key: str(value) + # if value is not None else value + for key, value in custom_properties_unnested.items() + } + + return custom_properties_unnested_all_string_values + + def _flatten_dict(self, d, custom_properties=None): + if custom_properties is None: + custom_properties = {} + for key, value in d.items(): + if isinstance(value, dict): + self._flatten_dict(dict(value.items()), custom_properties) + else: + custom_properties[key] = value + return custom_properties + + +def generate_fqn(parent_name, dataset_name) -> str: + """ + Generate a fully qualified name for a dataset + """ + return f"{parent_name}.{dataset_name}" diff --git a/lib/datahub-client/data_platform_catalogue/client/exceptions.py b/lib/datahub-client/data_platform_catalogue/client/exceptions.py new file mode 100644 index 00000000..c58ab218 --- /dev/null +++ b/lib/datahub-client/data_platform_catalogue/client/exceptions.py @@ -0,0 +1,29 @@ +class CatalogueError(Exception): + """ + Base class for catalogue-related errors. + """ + + +class ReferencedEntityMissing(CatalogueError): + """ + A referenced entity (such as a user or tag) does not yet exist when + attempting to create a new metadata resource in the catalogue. + """ + + +class InvalidDomain(CatalogueError): + """ + Domain does not exist + """ + + +class MissingDatabaseMetadata(Exception): + """""" + + +class EntityDoesNotExist(CatalogueError): + """""" + + +class AspectDoesNotExist(CatalogueError): + """""" diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/__init__.py b/lib/datahub-client/data_platform_catalogue/client/graphql/__init__.py similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/__init__.py rename to lib/datahub-client/data_platform_catalogue/client/graphql/__init__.py diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/facets.graphql b/lib/datahub-client/data_platform_catalogue/client/graphql/facets.graphql similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/facets.graphql rename to lib/datahub-client/data_platform_catalogue/client/graphql/facets.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/graphql/getChartDetails.graphql similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getChartDetails.graphql rename to lib/datahub-client/data_platform_catalogue/client/graphql/getChartDetails.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql b/lib/datahub-client/data_platform_catalogue/client/graphql/getDatasetDetails.graphql similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getDatasetDetails.graphql rename to lib/datahub-client/data_platform_catalogue/client/graphql/getDatasetDetails.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getGlossaryTerms.graphql b/lib/datahub-client/data_platform_catalogue/client/graphql/getGlossaryTerms.graphql similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/getGlossaryTerms.graphql rename to lib/datahub-client/data_platform_catalogue/client/graphql/getGlossaryTerms.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listContainerEntities.graphql b/lib/datahub-client/data_platform_catalogue/client/graphql/listContainerEntities.graphql similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/listContainerEntities.graphql rename to lib/datahub-client/data_platform_catalogue/client/graphql/listContainerEntities.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql b/lib/datahub-client/data_platform_catalogue/client/graphql/search.graphql similarity index 100% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql/search.graphql rename to lib/datahub-client/data_platform_catalogue/client/graphql/search.graphql diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py similarity index 58% rename from lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py rename to lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py index ee25ccdc..11ee28fc 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py @@ -2,27 +2,42 @@ from datetime import datetime, timezone from typing import Any, Tuple -from data_platform_catalogue.entities import RelatedEntity, RelationshipType - - -def parse_owner(entity: dict[str, Any]): +from data_platform_catalogue.entities import ( + AccessInformation, + Column, + ColumnRef, + CustomEntityProperties, + DataSummary, + DomainRef, + EntityRef, + OwnerRef, + RelationshipType, + TagRef, + UsageRestrictions, +) + + +def parse_owner(entity: dict[str, Any]) -> OwnerRef: """ Parse ownership information, if it is set. + If no owner information exists, return an OwnerRef populated with blank strings """ ownership = entity.get("ownership") or {} owners = [i["owner"] for i in ownership.get("owners", [])] if owners: properties = owners[0].get("properties") or {} - owner_email = properties.get("email", "") - owner_name = properties.get("fullName", properties.get("displayName", "")) + owner_details = OwnerRef( + display_name=properties.get("displayName", properties.get("fullName", "")), + email=properties.get("email", ""), + urn=owners[0].get("urn", ""), + ) else: - owner_email = "" - owner_name = "" + owner_details = OwnerRef(display_name="", email="", urn="") - return owner_email, owner_name + return owner_details -def parse_last_updated(entity: dict[str, Any]) -> datetime | None: +def parse_last_modified(entity: dict[str, Any]) -> datetime | None: """ Parse the last updated timestamp, if available """ @@ -46,7 +61,7 @@ def parse_created_and_modified( return created, modified -def parse_tags(entity: dict[str, Any]) -> list[str]: +def parse_tags(entity: dict[str, Any]) -> list[TagRef]: """ Parse tag information into a flat list of strings for displaying as part of the search result. @@ -54,39 +69,57 @@ def parse_tags(entity: dict[str, Any]) -> list[str]: outer_tags = entity.get("tags") or {} tags = [] for tag in outer_tags.get("tags", []): - properties = tag["tag"]["properties"] + properties = tag.get("tag", {}).get("properties", {}) if properties: - tags.append(properties["name"]) + tags.append( + TagRef( + display_name=properties.get("name", ""), + urn=tag.get("tag", {}).get("urn", ""), + ) + ) return tags -def parse_properties(entity: dict[str, Any]) -> Tuple[dict[str, Any], dict[str, Any]]: +def parse_properties( + entity: dict[str, Any] +) -> Tuple[dict[str, Any], CustomEntityProperties]: """ Parse properties and editableProperties into a single dictionary. """ properties = entity["properties"] or {} editable_properties = entity.get("editableProperties") or {} properties.update(editable_properties) - custom_properties = { + custom_properties_dict = { i["key"]: i["value"] for i in properties.get("customProperties", []) } + properties.pop("customProperties", None) + access_information = AccessInformation.model_validate(custom_properties_dict) + usage_restrictions = UsageRestrictions.model_validate(custom_properties_dict) + data_summary = DataSummary.model_validate(custom_properties_dict) + + custom_properties = CustomEntityProperties( + access_information=access_information, + usage_restrictions=usage_restrictions, + data_summary=data_summary, + ) + return properties, custom_properties -def parse_domain(entity: dict[str, Any]): - metadata = {} +def parse_domain(entity: dict[str, Any]) -> DomainRef: domain = entity.get("domain") or {} inner_domain = domain.get("domain") or {} - metadata["domain_id"] = inner_domain.get("urn", "") + domain_id = inner_domain.get("urn", "") if inner_domain: domain_properties, _ = parse_properties(inner_domain) - metadata["domain_name"] = domain_properties.get("name", "") + display_name = domain_properties.get("name", "") else: - metadata["domain_name"] = "" - return metadata + display_name = "" + return DomainRef(display_name=display_name, urn=domain_id) -def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: + +def parse_columns(entity: dict[str, Any]) -> list[Column]: """ Parse the schema metadata from Datahub into a flattened list of column information. @@ -119,14 +152,15 @@ def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: source_path = foreign_key["sourceFields"][0]["fieldPath"] foreign_path = foreign_key["foreignFields"][0]["fieldPath"] - foreign_table_id = foreign_key["foreignDataset"]["urn"] - foreign_table_name = foreign_key["foreignDataset"]["properties"]["name"] + + foreign_table = EntityRef( + urn=foreign_key["foreignDataset"]["urn"], + display_name=foreign_key["foreignDataset"]["properties"]["name"], + ) + + display_name = foreign_path.split(".")[-1] foreign_keys[source_path].append( - { - "tableId": foreign_table_id, - "fieldName": foreign_path, - "tableName": foreign_table_name, - } + ColumnRef(name=foreign_path, display_name=display_name, table=foreign_table) ) for field in schema_metadata.get("fields", ()): @@ -136,25 +170,28 @@ def parse_columns(entity: dict[str, Any]) -> list[dict[str, Any]]: # This is an oversimplification: in the case of a composite # primary key, we report that each component field is primary. is_primary_key = field["fieldPath"] in primary_keys + field_path = field["fieldPath"] + display_name = field_path.split(".")[-1] result.append( - { - "name": field["fieldPath"], - "description": field["description"], - "type": field.get("nativeDataType", field["type"]), - "nullable": field["nullable"], - "isPrimaryKey": is_primary_key, - "foreignKeys": foreign_keys_for_field, - } + Column( + name=field_path, + display_name=display_name, + description=field["description"], + type=field.get("nativeDataType", field["type"]), + nullable=field["nullable"], + is_primary_key=is_primary_key, + foreign_keys=foreign_keys_for_field, + ) ) # Sort primary keys first, then sort alphabetically - return sorted(result, key=lambda c: (0 if c["isPrimaryKey"] else 1, c["name"])) + return sorted(result, key=lambda c: (0 if c.is_primary_key else 1, c.name)) def parse_relations( relationship_type: RelationshipType, relations_dict: dict -) -> dict[RelationshipType, list[RelatedEntity]]: +) -> dict[RelationshipType, list[EntityRef]]: """ parse the relationships results returned from a graphql querys """ @@ -163,7 +200,9 @@ def parse_relations( # total_relations = relations_dict.get("total", 0) parent_entities = relations_dict.get("relationships", []) related_entities = [ - RelatedEntity(id=i["entity"]["urn"], name=i["entity"]["properties"]["name"]) + EntityRef( + urn=i["entity"]["urn"], display_name=i["entity"]["properties"]["name"] + ) for i in parent_entities ] diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py b/lib/datahub-client/data_platform_catalogue/client/search.py similarity index 60% rename from lib/datahub-client/data_platform_catalogue/client/datahub/search.py rename to lib/datahub-client/data_platform_catalogue/client/search.py index 57428018..a2488392 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/search.py @@ -3,28 +3,30 @@ from importlib.resources import files from typing import Any, Sequence -from data_platform_catalogue.entities import RelationshipType -from datahub.configuration.common import GraphError -from datahub.ingestion.graph.client import DataHubGraph - -from ...search_types import ( - FacetOption, - MultiSelectFilter, - ResultType, - SearchFacets, - SearchResponse, - SearchResult, - SortOption, +from data_platform_catalogue.client.exceptions import ( # pylint: disable=E0611 + CatalogueError, ) -from .graphql_helpers import ( +from data_platform_catalogue.client.graphql_helpers import ( parse_created_and_modified, parse_domain, - parse_last_updated, + parse_last_modified, parse_owner, parse_properties, parse_relations, parse_tags, ) +from data_platform_catalogue.entities import RelationshipType # pylint: disable=E0611 +from data_platform_catalogue.search_types import ( + FacetOption, + MultiSelectFilter, + ResultType, + SearchFacets, + SearchResponse, + SearchResult, + SortOption, +) +from datahub.configuration.common import GraphError # pylint: disable=E0611 +from datahub.ingestion.graph.client import DataHubGraph # pylint: disable=E0611 logger = logging.getLogger(__name__) @@ -33,29 +35,23 @@ class SearchClient: def __init__(self, graph: DataHubGraph): self.graph = graph self.search_query = ( - files("data_platform_catalogue.client.datahub.graphql") + files("data_platform_catalogue.client.graphql") .joinpath("search.graphql") .read_text() ) self.facets_query = ( - files("data_platform_catalogue.client.datahub.graphql") + files("data_platform_catalogue.client.graphql") .joinpath("facets.graphql") .read_text() ) - - self.data_product_asset_query = ( - files("data_platform_catalogue.client.datahub.graphql") - .joinpath("listDataProductAssets.graphql") - .read_text() - ) self.get_glossary_terms_query = ( - files("data_platform_catalogue.client.datahub.graphql") + files("data_platform_catalogue.client.graphql") .joinpath("getGlossaryTerms.graphql") .read_text() ) self.get_database_tables_query = ( - files("data_platform_catalogue.client.datahub.graphql") + files("data_platform_catalogue.client.graphql") .joinpath("listContainerEntities.graphql") .read_text() ) @@ -66,7 +62,6 @@ def search( count: int = 20, page: str | None = None, result_types: Sequence[ResultType] = ( - ResultType.DATA_PRODUCT, ResultType.TABLE, ResultType.CHART, ResultType.DATABASE, @@ -77,10 +72,8 @@ def search( """ Wraps the catalogue's search function. """ - if page is None: - start = 0 - else: - start = int(page) * count + + start = 0 if page is None else int(page) * count types = self._map_result_types(result_types) formatted_filters = self._map_filters(filters) @@ -99,33 +92,43 @@ def search( try: response = self.graph.execute_graphql(self.search_query, variables) except GraphError as e: - raise Exception("Unable to execute search query") from e + raise CatalogueError("Unable to execute search query") from e - page_results = [] response = response["searchAcrossEntities"] - facets = self._parse_facets(response.get("facets", [])) + if response["total"] == 0: + return SearchResponse(total_results=0, page_results=[]) logger.debug(json.dumps(response, indent=2)) + page_results = self._parse_search_results(response) + + return SearchResponse( + total_results=response["total"], + page_results=page_results, + facets=self._parse_facets(response.get("facets", [])), + ) + + def _parse_search_results(self, response): + page_results = [] for result in response["searchResults"]: entity = result["entity"] entity_type = entity["type"] matched_fields = self._get_matched_fields(result=result) - if entity_type == "DATA_PRODUCT": - page_results.append(self._parse_data_product(entity, matched_fields)) - elif entity_type == "DATASET": - page_results.append(self._parse_dataset(entity, matched_fields)) + if entity_type == "DATASET": + page_results.append( + self._parse_result(entity, matched_fields, ResultType.TABLE) + ) elif entity_type == "CHART": - page_results.append(self._parse_chart(entity, matched_fields)) + page_results.append( + self._parse_result(entity, matched_fields, ResultType.CHART) + ) elif entity_type == "CONTAINER": page_results.append(self._parse_container(entity, matched_fields)) else: raise ValueError(f"Unexpected entity type: {entity_type}") - return SearchResponse( - total_results=response["total"], page_results=page_results, facets=facets - ) + return page_results @staticmethod def _get_matched_fields(result: dict) -> dict: @@ -142,10 +145,7 @@ def _get_matched_fields(result: dict) -> dict: def search_facets( self, query: str = "*", - result_types: Sequence[ResultType] = ( - ResultType.DATA_PRODUCT, - ResultType.TABLE, - ), + result_types: Sequence[ResultType] = (ResultType.TABLE,), filters: Sequence[MultiSelectFilter] = (), ) -> SearchFacets: """ @@ -164,39 +164,11 @@ def search_facets( try: response = self.graph.execute_graphql(self.facets_query, variables) except GraphError as e: - raise Exception("Unable to execute facets query") from e + raise CatalogueError("Unable to execute facets query") from e response = response["aggregateAcrossEntities"] return self._parse_facets(response.get("facets", [])) - def list_data_product_assets( - self, urn: str, count: int, start: int = 0 - ) -> SearchResponse: - """ - returns a SearchResponse containing all assets in given data product (by urn) - """ - variables = { - "urn": urn, - "query": "*", - "start": start, - "count": count, - } - try: - response = self.graph.execute_graphql( - self.data_product_asset_query, variables - ) - except GraphError as e: - raise Exception("Unable to execute listDataProductAssets query") from e - page_results = [] - page_results = self._get_data_collection_page_results( - response, "listDataProductAssets" - ) - - return SearchResponse( - total_results=response["listDataProductAssets"]["total"], - page_results=page_results, - ) - def list_database_tables( self, urn: str, count: int, start: int = 0 ) -> SearchResponse: @@ -211,7 +183,7 @@ def list_database_tables( self.get_database_tables_query, variables ) except GraphError as e: - raise Exception("Unable to execute listDatabaseEntities query") from e + raise CatalogueError("Unable to execute listDatabaseEntities query") from e page_results = self._get_data_collection_page_results( response["container"], "entities" @@ -232,7 +204,9 @@ def _get_data_collection_page_results(self, response, key_for_results: str): entity_type = entity["type"] matched_fields: dict = {} if entity_type == "DATASET": - page_results.append(self._parse_dataset(entity, matched_fields)) + page_results.append( + self._parse_result(entity, matched_fields, ResultType.TABLE) + ) else: raise ValueError(f"Unexpected entity type: {entity_type}") return page_results @@ -242,8 +216,6 @@ def _map_result_types(self, result_types: Sequence[ResultType]): Map result types to Datahub EntityTypes """ types = [] - if ResultType.DATA_PRODUCT in result_types: - types.append("DATA_PRODUCT") if ResultType.TABLE in result_types: types.append("DATASET") if ResultType.GLOSSARY_TERM in result_types: @@ -256,97 +228,59 @@ def _map_result_types(self, result_types: Sequence[ResultType]): return types def _map_filters(self, filters: Sequence[MultiSelectFilter]): - result = [] - for filter in filters: - result.append( - {"field": filter.filter_name, "values": filter.included_values} - ) + result = [ + {"field": filter.filter_name, "values": filter.included_values} + for filter in filters + ] return result - def _parse_dataset(self, entity: dict[str, Any], matches) -> SearchResult: + def _parse_result( + self, entity: dict[str, Any], matches, result_type: ResultType + ) -> SearchResult: """ Map a dataset entity to a SearchResult """ - owner_email, owner_name = parse_owner(entity) + owner = parse_owner(entity) properties, custom_properties = parse_properties(entity) tags = parse_tags(entity) - last_updated = parse_last_updated(entity) - name = entity["name"] + last_modified = parse_last_modified(entity) + name = entity.get("name") relations = parse_relations( RelationshipType.PARENT, entity.get("relationships", {}) ) + domain = parse_domain(entity) metadata = { - "owner": owner_name, - "owner_email": owner_email, + "owner": owner.display_name, + "owner_email": owner.email, "total_parents": entity.get("relationships", {}).get("total", 0), "parents": relations[RelationshipType.PARENT], + "domain_name": domain.display_name, + "domain_id": domain.urn, "entity_types": self._parse_types_and_sub_types(entity, "Dataset"), } - metadata.update(parse_domain(entity)) - metadata.update(custom_properties) - - fqn = self._get_fully_qualified_name(properties, name) - created, modified = parse_created_and_modified(properties) - - return SearchResult( - id=entity["urn"], - result_type=ResultType.TABLE, - matches=matches, - name=properties.get("name", name), - fully_qualified_name=fqn, - description=properties.get("description", ""), - metadata=metadata, - tags=tags, - last_updated=modified or last_updated, - first_created=created, - ) + metadata.update(custom_properties.usage_restrictions.model_dump()) + metadata.update(custom_properties.access_information.model_dump()) + metadata.update(custom_properties.data_summary.model_dump()) - def _parse_data_product(self, entity: dict[str, Any], matches) -> SearchResult: - """ - Map a data product entity to a SearchResult - """ - owner_email, owner_name = parse_owner(entity) - properties, custom_properties = parse_properties(entity) - tags = parse_tags(entity) - last_updated = parse_last_updated(entity) - metadata = { - "owner": owner_name, - "owner_email": owner_email, - "number_of_assets": properties["numAssets"], - } - metadata.update(parse_domain(entity)) - metadata.update(custom_properties) + # TODO: the way we return name/display name/qualified name should be + # consistent with the upsert/get methods + fqn = properties.get("qualifiedName", name) - fqn = self._get_fully_qualified_name(properties, properties["name"]) + _, modified = parse_created_and_modified(properties) return SearchResult( - id=entity["urn"], - result_type=ResultType.DATA_PRODUCT, + urn=entity["urn"], + result_type=result_type, matches=matches, - name=properties["name"], + name=properties.get("name", name), fully_qualified_name=fqn, description=properties.get("description", ""), metadata=metadata, - tags=tags, - last_updated=last_updated, - ) - - def _parse_chart(self, entity: dict[str, Any], matches) -> SearchResult: - properties, custom_properties = parse_properties(entity) - last_updated = parse_last_updated(entity) - - return SearchResult( - id=entity["urn"], - result_type=ResultType.CHART, - matches=matches, - name=properties["name"], - fully_qualified_name=properties["name"], - description=properties.get("description", ""), - metadata=custom_properties, - last_updated=last_updated, + tags=[tag_str.display_name for tag_str in tags], + last_modified=modified or last_modified, ) def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: @@ -373,18 +307,18 @@ def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: return SearchFacets(results) def _parse_glossary_term(self, entity) -> SearchResult: - properties, custom_properties = parse_properties(entity) + properties, _ = parse_properties(entity) metadata = {"parentNodes": entity["parentNodes"]["nodes"]} return SearchResult( - id=entity["urn"], + urn=entity["urn"], result_type=ResultType.GLOSSARY_TERM, matches={}, name=properties["name"], description=properties.get("description", ""), metadata=metadata, tags=[], - last_updated=None, + last_modified=None, ) def get_glossary_terms(self, count: int = 1000) -> SearchResponse: @@ -395,7 +329,7 @@ def get_glossary_terms(self, count: int = 1000) -> SearchResponse: self.get_glossary_terms_query, variables ) except GraphError as e: - raise Exception("Unable to execute getGlossaryTerms query") from e + raise CatalogueError("Unable to execute getGlossaryTerms query") from e page_results = [] response = response["searchAcrossEntities"] @@ -413,31 +347,38 @@ def _parse_container(self, entity: dict[str, Any], matches) -> SearchResult: Map a Container entity to a SearchResult """ tags = parse_tags(entity) - last_updated = parse_last_updated(entity) + last_modified = parse_last_modified(entity) properties, custom_properties = parse_properties(entity) - owner_email, owner_name = parse_owner(entity) + domain = parse_domain(entity) + owner = parse_owner(entity) + + # TODO: the way we return name/display name/qualified name should be + # consistent with the upsert/get methods + fqn = properties.get("qualifiedName", properties["name"]) metadata = { - "owner": owner_name, - "owner_email": owner_email, + "owner": owner.display_name, + "owner_email": owner.email, + "domain_name": domain.display_name, + "domain_id": domain.urn, "entity_types": self._parse_types_and_sub_types(entity, "Container"), } - fqn = self._get_fully_qualified_name(properties, properties["name"]) - - metadata.update(parse_domain(entity)) + metadata.update(custom_properties.usage_restrictions.model_dump()) + metadata.update(custom_properties.access_information.model_dump()) + metadata.update(custom_properties.data_summary.model_dump()) metadata.update(custom_properties) return SearchResult( - id=entity["urn"], + urn=entity["urn"], result_type=ResultType.DATABASE, matches=matches, name=properties["name"], fully_qualified_name=fqn, description=properties.get("description", ""), metadata=metadata, - tags=tags, - last_updated=last_updated, + tags=[tag.display_name for tag in tags], + last_modified=last_modified, ) def _parse_types_and_sub_types(self, entity: dict, entity_type: str) -> dict: @@ -447,11 +388,3 @@ def _parse_types_and_sub_types(self, entity: dict, entity_type: str) -> dict: else [entity_type] ) return {"entity_type": entity_type, "entity_sub_types": entity_sub_type} - - def _get_fully_qualified_name(self, entity_properties: dict, name: str) -> str: - fqn = ( - entity_properties.get("qualifiedName", name) - if entity_properties.get("qualifiedName") is not None - else name - ) - return fqn diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index b9cb60ae..b94a2024 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -1,200 +1,244 @@ -from dataclasses import dataclass, field from datetime import datetime -from enum import Enum, auto -from typing import Any +from enum import Enum +from typing import Optional + +from pydantic import BaseModel, Field DATAHUB_DATE_FORMAT = "%Y%m%d" -@dataclass -class CatalogueMetadata: - name: str - description: str - owner: str - tags: list[str] = field(default_factory=list) +class RelationshipType(Enum): + PARENT = "PARENT" + PLATFORM = "PLATFORM" + + +class EntityRef(BaseModel): + """ + A reference to another entity in the metadata graph. + """ + + urn: str = Field(description="The identifier of the entity being linked to.") + display_name: str = Field( + description="Display name that can be used for link text." + ) -@dataclass -class DataLocation: +class ColumnRef(BaseModel): """ - A representation of where the data can be found - (in our case, glue/athena) + A reference to a column in a table """ - fully_qualified_name: str - platform_type: str = "glue" - platform_id: str = "glue" + name: str = Field(description="The column name as it appears in the table") + display_name: str = Field(description="A user-friendly version of the name") + table: EntityRef = Field(description="Reference to the table the column belongs to") -class DataProductStatus(Enum): - DRAFT = auto() - PUBLISHED = auto() - RETIRED = auto() +class Column(BaseModel): + """ + A column definition in a table + """ + name: str = Field( + pattern=r"^[\w.]+$", + description="The name of a column as it appears in the table.", + ) + display_name: str = Field(description="A user-friendly version of the name") + type: str = Field( + description="The data type of the column as it appears in the table", + ) + description: str = Field(description="A description of the column") + nullable: bool = Field(description="Whether the field is nullable or not") + is_primary_key: bool = Field( + description="Whether the field is part of the primary key" + ) + foreign_keys: list[ColumnRef] | None = Field( + description="References to columns in other tables" + ) + + +class OwnerRef(BaseModel): + """ + A reference to a named individual that performs some kind of governance + """ -class DatabaseStatus(Enum): - PROD = auto() - PREPROD = auto() - DEV = auto() + display_name: str = Field( + description="The full name of the user as it should be displayed" + ) + email: str = Field("Contact email for the user") + urn: str = Field("Unique identifier for the user") -class RelationshipType(Enum): - PARENT = auto() - - -@dataclass -class RelatedEntity: - id: str - name: str - - -@dataclass -class DataProductMetadata: - name: str - description: str - version: str - owner: str - owner_display_name: str - maintainer: str | None - maintainer_display_name: str | None - email: str - retention_period_in_days: int - domain: str - subdomain: str | None - dpia_required: bool - dpia_location: str | None - last_updated: datetime - creation_date: datetime - s3_location: str | None - status: DataProductStatus = DataProductStatus.DRAFT - tags: list[str] = field(default_factory=list) - - @staticmethod - def from_data_product_metadata_dict(metadata: dict, version, owner_id: str): - """ - Expects a dict containing data product metatdata information as per the - required fields in the json schema at - https://github.com/ministryofjustice/modernisation-platform-environments/tree/main/terraform/environments/data-platform/data-product-metadata-json-schema - - Then populates a DataProductMetadata object with the given data. - """ - new_metadata = DataProductMetadata( - name=metadata["name"], - description=metadata["description"], - version=version, - owner=owner_id, - owner_display_name=metadata["dataProductOwnerDisplayName"], - maintainer=metadata.get("dataProductMaintainer"), - maintainer_display_name=metadata.get("dataProductMaintainerDisplayName"), - email=metadata["email"], - status=DataProductStatus[metadata["status"]], - retention_period_in_days=metadata["retentionPeriod"], - domain=metadata["domain"], - subdomain=metadata.get("subdomain"), - dpia_required=metadata["dpiaRequired"], - dpia_location=metadata.get("dpiaLocation"), - last_updated=datetime.strptime( - metadata["lastUpdated"], DATAHUB_DATE_FORMAT - ), - creation_date=datetime.strptime( - metadata["creationDate"], DATAHUB_DATE_FORMAT - ), - s3_location=metadata.get("s3Location"), - tags=metadata.get("tags", []), - ) - - return new_metadata - - -class SecurityClassification(Enum): - OFFICIAL = auto() - - -@dataclass -class TableMetadata: - name: str - description: str - column_details: list - retention_period_in_days: int | None - domain: str | None = None - parent_entity_name: str | None = None - relationships: dict[RelationshipType, list[RelatedEntity]] | None = None - source_dataset_name: str = "" - where_to_access_dataset: str = "" - fully_qualified_name: str | None = None - data_sensitivity_level: SecurityClassification = SecurityClassification.OFFICIAL - tags: list[str] = field(default_factory=list) - major_version: int = 1 - row_count: int | None = None - owner: str = "" - owner_email: str = "" - last_updated: datetime | None = None - first_created: datetime | None = None - - @staticmethod - def from_data_product_schema_dict( - metadata: dict[str, Any], table_name, retention_period: int | None = None - ): - """ - Expects a dict containing data product table schema information as per the - required fields in the json schema at - https://github.com/ministryofjustice/modernisation-platform-environments/tree/main/terraform/environments/data-platform/data-product-table-schema-json-schema - - and should be passed table name and optionally a retention period - - Then populates a TableMetadata object with the given data. - """ - - new_metadata = TableMetadata( - name=table_name, - description=metadata["tableDescription"], - column_details=metadata["columns"], - retention_period_in_days=retention_period, - source_dataset_name=metadata.get("sourceDatasetName", ""), - where_to_access_dataset=metadata.get("sourceDatasetLocation", ""), - data_sensitivity_level=SecurityClassification[ - metadata.get("securityClassification", "OFFICIAL") - ], - tags=metadata.get("tags", []), - ) - - return new_metadata - - -# jscpd:ignore-start -@dataclass -class DatabaseMetadata: - """ - For source system databases - currently matches DataProductMetadata - but will need to be revisted and refined potentially - """ - - name: str - description: str - version: str - owner: str - owner_display_name: str - maintainer: str | None - maintainer_display_name: str | None - email: str - retention_period_in_days: int - domain: str - subdomain: str | None - dpia_required: bool - dpia_location: str | None - last_updated: datetime - creation_date: datetime - s3_location: str | None - status: DataProductStatus = DataProductStatus.DRAFT - tags: list[str] = field(default_factory=list) - - -# jscpd:ignore-end - - -@dataclass -class ChartMetadata: - name: str - description: str - external_url: str - tags: list[str] = field(default_factory=list) +class Governance(BaseModel): + """ + Governance model for an entity or domain + """ + + data_owner: OwnerRef = Field( + description="The senior individual responsible for the data." + ) + data_stewards: list[OwnerRef] = Field( + description="Experts who manage the data day-to-day." + ) + + +class DomainRef(BaseModel): + """ + Reference to a domain that entities belong to + """ + + display_name: str = Field( + description="Display name", json_schema_extra={"example": "HMPPS"} + ) + urn: str = Field( + description="The identifier of the domain.", + json_schema_extra={"example": "urn:li:domain:HMCTS"}, + ) + + +class TagRef(BaseModel): + """ + Reference to a tag + """ + + display_name: str = Field( + description="Human friendly tag name", json_schema_extra={"example": "PII"} + ) + urn: str = Field( + description="The identifier of the tag", + json_schema_extra={"example": "urn:li:tag:PII"}, + ) + + +class UsageRestrictions(BaseModel): + """ + Metadata about how entities may be used. + """ + + dpia_required: bool | str | None = Field( + description="Bool for if a data privacy impact assessment (DPIA) is required to access this database", + default=None, + ) + dpia_location: str | None = Field( + description="Where to find the DPIA document", default=None + ) + + +class AccessInformation(BaseModel): + """ + Any metadata about how to access a data entity. + The same data entity may be accessable via multiple means. + """ + + where_to_access_dataset: str = Field( + description="User-friendly description of where the data can be accessed", + default="", + ) + source_dataset_name: str = Field( + description="The name of a dataset this data was derived from", default="" + ) + s3_location: str | None = Field( + description="Location of the data in s3", default=None + ) + + +class DataSummary(BaseModel): + """ + Summarised information derived from the actual data. + """ + + row_count: int | str = Field( + description="Row count when the metadata was last updated", default="" + ) + + +class CustomEntityProperties(BaseModel): + """Custom entity properties not part of DataHub's entity model""" + + usage_restrictions: UsageRestrictions = Field( + description="Limitations on how the data may be used and accessed", + default_factory=UsageRestrictions, + ) + access_information: AccessInformation = Field( + description="Metadata about how to access a data entity", + default_factory=AccessInformation, + ) + data_summary: DataSummary = Field( + description="Summary of data stored in this table", default_factory=DataSummary + ) + + +class Entity(BaseModel): + """ + Any searchable data entity that is present in the metadata graph, which + may be related to other entities. + Examples include platforms, databases, tables + """ + + urn: str | None = Field( + "Unique identifier for the entity. Relates to Datahub's urn" + ) + display_name: str | None = Field("Display name of the entity") + name: str = Field("Actual name of the entity in its source platform") + fully_qualified_name: str | None = Field( + "Fully qualified name of the entity in its source platform" + ) + description: str = Field( + description="Detailed description about what functional area this entity is representing, what purpose it has" + " and business related information.", + ) + relationships: dict[RelationshipType, list[EntityRef]] = Field( + default={}, + description="References to related entities in the metadata graph, such as platform or parent entities", + ) + domain: DomainRef = Field(description="The domain this entity belongs to.") + governance: Governance = Field(description="Information about governance") + tags: list[TagRef] = Field( + default_factory=list, + description="Additional tags to add.", + ) + last_modified: Optional[datetime] = Field( + description="When the metadata was last updated in the catalogue", + default=None, + ) + created: Optional[datetime] = Field( + description="When the data entity was first created", + default=None, + ) + platform: EntityRef = Field( + description="The platform that an entity should belong to, e.g. Glue, Athena, DBT. Should exist in datahub", + ) + custom_properties: CustomEntityProperties = Field( + description="Fields to add to DataHub custom properties", + default_factory=CustomEntityProperties, + ) + + +class Database(Entity): + """For source system databases""" + + +class Table(Entity): + """A table in a database or a tabular dataset""" + + column_details: list[Column] = Field( + description="A list of objects which relate to columns in your data, each list item will contain, a name of" + " the column, data type of the column and description of the column." + ) + + +class Chart(Entity): + """A visualisation of a dataset""" + + external_url: str = Field("URL to view the chart") + + +class Domain(Entity): + """Datahub domain""" + + +# if __name__ == "__main__": +# import erdantic as erd + +# erd.draw(Database, out="database.png") +# erd.draw(Table, out="table.png") +# erd.draw(Chart, out="chart.png") diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index 9057cd0d..d3c04137 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -1,3 +1,5 @@ +"""Search types module.""" + from dataclasses import dataclass, field from datetime import datetime from enum import Enum, auto @@ -5,7 +7,8 @@ class ResultType(Enum): - DATA_PRODUCT = auto() + """Result type.""" + TABLE = auto() GLOSSARY_TERM = auto() CHART = auto() @@ -51,7 +54,7 @@ class FacetOption: @dataclass class SearchResult: - id: str + urn: str result_type: ResultType name: str fully_qualified_name: str = "" @@ -59,8 +62,8 @@ class SearchResult: matches: dict[str, str] = field(default_factory=dict) metadata: dict[str, Any] = field(default_factory=dict) tags: list[str] = field(default_factory=list) - last_updated: datetime | None = None - first_created: datetime | None = None + last_modified: datetime | None = None + created: datetime | None = None @dataclass diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index 89eb2823..dc0e795f 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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"pytest-timeout", "pytest-xdist"] -notebook = ["ipywidgets (>=6)"] -slack = ["slack-sdk"] -telegram = ["requests"] - -[[package]] -name = "typing-compat" -version = "0.1.0" -description = "Python typing compatibility library" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -files = [ - {file = "typing-compat-0.1.0.tar.gz", hash = "sha256:a7159db80406de342bc128ab315fae3afe1ddc87cbc2df7a023763090fdfe5d2"}, - {file = "typing_compat-0.1.0-py2.py3-none-any.whl", hash = "sha256:a8b94eb34c95982fbd34b8daa46fd78c43db33c075b98c79b6e1d77e8f7dd4d5"}, + {file = "typing_extensions-4.6.3-py3-none-any.whl", hash = "sha256:88a4153d8505aabbb4e13aacb7c486c2b4a33ca3b3f807914a9b4c844c471c26"}, + {file = "typing_extensions-4.6.3.tar.gz", hash = "sha256:d91d5919357fe7f681a9f2b5b4cb2a5f1ef0a1e9f59c4d8ff0d3491e05c0ffd5"}, ] [[package]] name = "typing-extensions" -version = "4.5.0" -description = "Backported and Experimental Type Hints for Python 3.7+" +version = "4.11.0" +description = "Backported and Experimental Type Hints for Python 3.8+" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"}, - {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"}, + {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"}, + {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"}, ] [[package]] @@ -2930,20 +1716,6 @@ secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17. socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] -[[package]] -name = "wheel" -version = "0.38.4" -description = "A built-package format for Python" -optional = false -python-versions = ">=3.7" -files = [ - {file = "wheel-0.38.4-py3-none-any.whl", hash = "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"}, - {file = "wheel-0.38.4.tar.gz", hash = "sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac"}, -] - -[package.extras] -test = ["pytest (>=3.0.0)"] - [[package]] name = "wrapt" version = "1.16.0" @@ -3126,22 +1898,7 @@ files = [ idna = ">=2.0" multidict = ">=4.0" -[[package]] -name = "zipp" -version = "3.17.0" -description = "Backport of pathlib-compatible object wrapper for zip files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, - {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] - [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "5efc740c64f8cf9732e86742152e6576a4231ad85cbdeae30350f8394a25a023" +content-hash = "3961dc21b5a8bab7e68d7e692051f52bed11968d359e023fdb75904707700fa3" diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index eae504b5..a2c9a4e2 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -1,6 +1,16 @@ +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.isort] +profile = "black" + +[tool.pylint] +max-line-length = 120 + [tool.poetry] name = "ministryofjustice-data-platform-catalogue" -version = "0.24.2" +version = "1.0.0" description = "Library to integrate the MoJ data platform with the catalogue component." authors = ["MoJ Data Platform Team "] license = "MIT" @@ -9,15 +19,12 @@ packages = [{ include = "data_platform_catalogue" }] [tool.poetry.dependencies] python = "^3.10" -openmetadata-ingestion = "~1.2.0.1" acryl-datahub = { extras = ["datahub-rest"], version = "^0.12.1.3" } freezegun = "^1.4.0" deepdiff = "^6.7.1" +pydantic = "2" [tool.poetry.group.dev.dependencies] requests-mock = "^1.11.0" pytest = "^7.4.2" -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 2ea4e91e..939afe12 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -3,25 +3,28 @@ from unittest.mock import MagicMock, patch import pytest -from data_platform_catalogue.client.datahub.datahub_client import ( +from data_platform_catalogue.client.datahub_client import ( DataHubCatalogueClient, InvalidDomain, - MissingDatabaseMetadata, ) +from data_platform_catalogue.client.exceptions import ReferencedEntityMissing from data_platform_catalogue.entities import ( - CatalogueMetadata, - ChartMetadata, - DatabaseMetadata, - DatabaseStatus, - DataLocation, - DataProductMetadata, - DataProductStatus, - RelatedEntity, + AccessInformation, + Chart, + Column, + ColumnRef, + CustomEntityProperties, + Database, + DataSummary, + DomainRef, + EntityRef, + Governance, + OwnerRef, RelationshipType, - SecurityClassification, - TableMetadata, + Table, + TagRef, + UsageRestrictions, ) -from datahub.metadata.schema_classes import DataProductPropertiesClass class TestCatalogueClientWithDatahub: @@ -31,90 +34,176 @@ class TestCatalogueClientWithDatahub: If this is the case, then the final metadata graph should match a snapshot we took earlier. """ - @pytest.fixture - def catalogue(self): - return CatalogueMetadata( - name="data_platform", - description="All data products hosted on the data platform", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - ) - - @pytest.fixture - def data_product(self): - return DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - @pytest.fixture def database(self): - return DatabaseMetadata( + return Database( name="my_database", description="little test db", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DatabaseStatus.PROD.name, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), + governance=Governance( + data_owner=OwnerRef( + urn="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + display_name="April Gonzalez", + email="abc@digital.justice.gov.uk", + ), + data_stewards=[ + OwnerRef( + urn="abc", + display_name="Jonjo Shelvey", + email="j.shelvey@digital.justice.gov.uk", + ) + ], + ), + domain=DomainRef(urn="LAA", display_name="LAA"), + last_modified=datetime(2020, 5, 17), creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], + access_information=AccessInformation( + s3_location="s3://databucket/", + ), + tags=[TagRef(urn="test", display_name="test")], + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + dpia_required=False, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="analytical_platform", + s3_location="s3://databucket/", + ), + ), ) @pytest.fixture def table(self): - return TableMetadata( - name="my_table", - description="bla bla", + return Table( + urn=None, + display_name="Foo.Dataset", + name="Dataset", + fully_qualified_name="Foo.Dataset", + description="Dataset", + relationships={ + RelationshipType.PARENT: [ + EntityRef( + urn="urn:li:container:my_database", display_name="database" + ) + ] + }, + domain=DomainRef(display_name="LAA", urn="LAA"), + governance=Governance( + data_owner=OwnerRef( + display_name="", email="Contact email for the user", urn="" + ), + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + tags=[TagRef(display_name="some-tag", urn="urn:li:tag:Entity")], + last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + created=None, column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=True, + foreign_keys=[ + ColumnRef( + name="urn", + display_name="urn", + table=EntityRef( + urn="urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + display_name="Dataset", + ), + ) + ], + ), ], - retention_period_in_days=365, - source_dataset_name="my_source_table", - where_to_access_dataset="s3://databucket/table1", - data_sensitivity_level=SecurityClassification.OFFICIAL, - parent_entity_name="my_database", - domain="LAA", + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties( + access_information=AccessInformation( + where_to_access_dataset="", source_dataset_name="", s3_location=None + ), + data_summary=DataSummary(row_count=5), + usage_restrictions=UsageRestrictions( + dpia_required=True, + dpia_location=None, + ), + ), ) @pytest.fixture def table2(self): - return TableMetadata( - name="my_table2", - description="this is a different table", + return Table( + urn=None, + display_name="Foo.Dataset", + name="Dataset", + fully_qualified_name="Foo.Dataset", + description="Dataset", + relationships={ + RelationshipType.PARENT: [ + EntityRef( + urn="urn:li:container:my_database", display_name="database" + ) + ] + }, + domain=DomainRef(display_name="LAA", urn="LAA"), + governance=Governance( + data_owner=OwnerRef( + display_name="", email="Contact email for the user", urn="" + ), + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + tags=[TagRef(display_name="some-tag", urn="urn:li:tag:Entity")], + last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + created=None, column_details=[ - {"name": "boo", "type": "boolean", "description": "spooky"}, - {"name": "yar", "type": "string", "description": "shiver my timbers"}, + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=True, + foreign_keys=[], + ), + Column( + name="upstreamLineage", + display_name="upstreamLineage", + type="upstreamLineage", + description="Upstream lineage of a dataset", + nullable=False, + is_primary_key=False, + foreign_keys=[ + ColumnRef( + name="urn", + display_name="urn", + table=EntityRef( + urn="urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + display_name="Dataset", + ), + ) + ], + ), ], - retention_period_in_days=1, - source_dataset_name="my_source_table", - where_to_access_dataset="s3://databucket/table2", - data_sensitivity_level=SecurityClassification.OFFICIAL, + platform=EntityRef(urn="athena", display_name="athena"), + custom_properties=CustomEntityProperties( + access_information=AccessInformation( + where_to_access_dataset="", source_dataset_name="", s3_location=None + ), + data_summary=DataSummary(row_count=5), + usage_restrictions=UsageRestrictions( + dpia_required=True, + dpia_location=None, + ), + ), ) @pytest.fixture @@ -135,143 +224,6 @@ def golden_file_in_db(self): Path(__file__).parent / "../../test_resources/golden_database_in.json" ) - def test_create_table_datahub( - self, - datahub_client, - base_mock_graph, - table, - tmp_path, - check_snapshot, - golden_file_in_dp, - ): - """ - Case where we just create a dataset (no data product) - """ - mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in_dp) - - fqn = datahub_client.upsert_table( - metadata=table, - location=DataLocation(fully_qualified_name="my_database"), - ) - fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" - - assert fqn == fqn_out - - output_file = Path(tmp_path / "datahub_create_table.json") - base_mock_graph.sink_to_file(output_file) - check_snapshot("datahub_create_table.json", output_file) - - def test_create_table_with_metadata_datahub( - self, - datahub_client, - table, - data_product, - base_mock_graph, - tmp_path, - check_snapshot, - golden_file_in_dp, - ): - """ - Case where we create a dataset, data product and domain - """ - mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in_dp) - - fqn = datahub_client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("my_database"), - ) - fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" - - assert fqn == fqn_out - - # check data product properties persist - dp_properties = mock_graph.get_aspect( - "urn:li:dataProduct:my_data_product", aspect_type=DataProductPropertiesClass - ) - assert dp_properties.description == "bla bla" - assert dp_properties.customProperties == {"version": "2.0", "dpia": "false"} - output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") - base_mock_graph.sink_to_file(output_file) - check_snapshot("datahub_create_table_with_metadata.json", output_file) - - def test_create_two_tables_with_metadata( - self, - datahub_client, - table, - table2, - data_product, - base_mock_graph, - tmp_path, - check_snapshot, - golden_file_in_dp, - ): - """ - Case where we create a dataset, data product and domain - """ - - mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in_dp) - - fqn = datahub_client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("my_database"), - ) - fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" - - assert fqn == fqn_out - - fqn = datahub_client.upsert_table( - metadata=table2, - data_product_metadata=data_product, - location=DataLocation("my_database"), - ) - fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)" - - assert fqn == fqn_out - - output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") - base_mock_graph.sink_to_file(output_file) - check_snapshot("datahub_create_two_tables_with_metadata.json", output_file) - - def test_create_table_and_metadata_idempotent_datahub( - self, - datahub_client, - table, - data_product, - base_mock_graph, - tmp_path, - check_snapshot, - golden_file_in_dp, - ): - """ - `create_table` should work even if the entities already exist in the metadata graph. - """ - mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in_dp) - - datahub_client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("my_database"), - ) - - fqn = datahub_client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("my_database"), - ) - fqn_out = "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" - - assert fqn == fqn_out - - output_file = Path(tmp_path / "datahub_create_table_with_metadata.json") - base_mock_graph.sink_to_file(output_file) - check_snapshot("datahub_create_table_with_metadata.json", output_file) - def test_get_dataset( self, datahub_client, @@ -288,7 +240,7 @@ def test_get_dataset( "relationships": [ { "entity": { - "urn": "urn:li:container:databse", + "urn": "urn:li:container:database", "properties": {"name": "database"}, } } @@ -301,7 +253,7 @@ def test_get_dataset( "qualifiedName": "Foo.Dataset", "description": "Dataset", "customProperties": [ - {"key": "sensitivityLevel", "value": "OFFICIAL-SENSITIVE"} + {"key": "sensitivityLevel", "value": "OFFICIAL"} ], "lastModified": {"time": 1709619407814}, }, @@ -328,14 +280,6 @@ def test_get_dataset( "type": "STRING", "nativeDataType": "string", }, - { - "fieldPath": "upstreamLineage", - "label": None, - "nullable": False, - "description": "Upstream lineage of a dataset", - "type": "STRUCT", - "nativeDataType": "upstreamLineage", - }, ], "primaryKeys": ["urn"], "foreignKeys": [ @@ -349,57 +293,70 @@ def test_get_dataset( "qualifiedName": None, }, }, - "sourceFields": [{"fieldPath": "upstreamLineage"}], + "sourceFields": [{"fieldPath": "urn"}], }, ], }, } } base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + with patch( + "data_platform_catalogue.client.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + ) as mock_exists: + mock_exists.return_value = True + dataset = datahub_client.get_table_details(urn) - dataset = datahub_client.get_table_details(urn) - - assert dataset == TableMetadata( + assert dataset == Table( + urn=None, + display_name="Foo.Dataset", name="Dataset", - description="Dataset", fully_qualified_name="Foo.Dataset", - column_details=[ - { - "name": "urn", - "type": "string", - "description": "The primary identifier for the dataset entity.", - "isPrimaryKey": True, - "foreignKeys": [], - "nullable": False, - }, - { - "name": "upstreamLineage", - "type": "upstreamLineage", - "description": "Upstream lineage of a dataset", - "foreignKeys": [ - { - "tableId": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", - "fieldName": "urn", - "tableName": "Dataset", - } - ], - "isPrimaryKey": False, - "nullable": False, - }, - ], - retention_period_in_days=None, - source_dataset_name="", - where_to_access_dataset="", - data_sensitivity_level=SecurityClassification.OFFICIAL, - tags=["some-tag"], - major_version=1, + description="Dataset", relationships={ RelationshipType.PARENT: [ - RelatedEntity(id="urn:li:container:databse", name="database") + EntityRef(urn="urn:li:container:database", display_name="database") ] }, - domain="", - last_updated=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + domain=DomainRef(display_name="", urn=""), + governance=Governance( + data_owner=OwnerRef(display_name="", email="", urn=""), + data_stewards=[OwnerRef(display_name="", email="", urn="")], + ), + tags=[TagRef(display_name="some-tag", urn="urn:li:tag:Entity")], + last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + created=None, + platform=EntityRef(urn="datahub", display_name="datahub"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + status=None, + dpia_required=None, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="", source_dataset_name="", s3_location=None + ), + data_summary=DataSummary(), + ), + column_details=[ + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=True, + foreign_keys=[ + ColumnRef( + name="urn", + display_name="urn", + table=EntityRef( + urn="urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + display_name="Dataset", + ), + ) + ], + ) + ], ) def test_get_dataset_minimal_properties( @@ -422,22 +379,40 @@ def test_get_dataset_minimal_properties( } base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) - dataset = datahub_client.get_table_details(urn) + with patch( + "data_platform_catalogue.client.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + ) as mock_exists: + mock_exists.return_value = True + dataset = datahub_client.get_table_details(urn) - assert dataset == TableMetadata( + assert dataset == Table( + urn=None, + display_name="notinproperties", name="notinproperties", fully_qualified_name="notinproperties", description="", - column_details=[], - retention_period_in_days=None, - source_dataset_name="", - where_to_access_dataset="", - data_sensitivity_level=SecurityClassification.OFFICIAL, - tags=[], - major_version=1, relationships={}, - domain="", - last_updated=None, + domain=DomainRef(display_name="", urn=""), + governance=Governance( + data_owner=OwnerRef(display_name="", email="", urn=""), + data_stewards=[OwnerRef(display_name="", email="", urn="")], + ), + tags=[], + last_modified=None, + created=None, + platform=EntityRef(urn="datahub", display_name="datahub"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + status=None, + dpia_required=None, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="", source_dataset_name="", s3_location=None + ), + data_summary=DataSummary(), + ), + column_details=[], ) def test_get_chart_details(self, datahub_client, base_mock_graph): @@ -461,14 +436,47 @@ def test_get_chart_details(self, datahub_client, base_mock_graph): } base_mock_graph.execute_graphql = MagicMock(return_value=datahub_response) - chart = datahub_client.get_chart_details(urn) - assert chart == ChartMetadata( + with patch( + "data_platform_catalogue.client.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + ) as mock_exists: + mock_exists.return_value = True + chart = datahub_client.get_chart_details(urn) + + assert chart == Chart( + urn="urn:li:chart:(justice-data,absconds)", + display_name="Absconds", name="Absconds", + fully_qualified_name="Absconds", description="a test description", + relationships={}, + domain=DomainRef(display_name="", urn=""), + governance=Governance( + data_owner=OwnerRef(display_name="", email="", urn=""), + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + tags=[], + last_modified=None, + created=None, + platform=EntityRef(urn="justice-data", display_name="justice-data"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + status=None, + dpia_required=None, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="", source_dataset_name="", s3_location=None + ), + data_summary=DataSummary(), + ), external_url="https://data.justice.gov.uk/prisons/public-protection/absconds", ) - def test_create_athena_database_and_table( + def test_upsert_table_and_database( self, datahub_client, base_mock_graph, @@ -481,68 +489,61 @@ def test_create_athena_database_and_table( """ Case where we create separate database and table """ - mock_graph = base_mock_graph - mock_graph.import_file(golden_file_in_db) + base_mock_graph.import_file(golden_file_in_db) with patch( - "data_platform_catalogue.client.datahub.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + "data_platform_catalogue.client.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" ) as mock_exists: mock_exists.return_value = True - fqn_db = datahub_client.upsert_athena_database(metadata=database) - fqn_t = datahub_client.upsert_athena_table(metadata=table) + fqn_db = datahub_client.upsert_database(database=database) + fqn_t = datahub_client.upsert_table(table=table) fqn_db_out = "urn:li:container:my_database" assert fqn_db == fqn_db_out - fqn_t_out = ( - "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)" - ) + fqn_t_out = "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)" assert fqn_t == fqn_t_out - output_file = Path(tmp_path / "datahub_create_athena_table.json") + output_file = Path(tmp_path / "test_upsert_table_and_database.json") base_mock_graph.sink_to_file(output_file) - check_snapshot("datahub_create_athena_table.json", output_file) + check_snapshot("test_upsert_table_and_database.json", output_file) - def test_create_athena_table_with_metadata( + def test_upsert_table( self, datahub_client, table, - database, base_mock_graph, tmp_path, check_snapshot, golden_file_in_db, ): """ - Case where we create a dataset (athena table) and container (athena database) - via upsert_athena_table method + Case where we create a dataset via upsert_table method """ mock_graph = base_mock_graph mock_graph.import_file(golden_file_in_db) with patch( - "data_platform_catalogue.client.datahub.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" + "data_platform_catalogue.client.datahub_client.DataHubCatalogueClient.check_entity_exists_by_urn" ) as mock_exists: mock_exists.return_value = True - fqn = datahub_client.upsert_athena_table( - metadata=table, - database_metadata=database, + fqn = datahub_client.upsert_table( + table=table, ) - fqn_out = ( - "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)" - ) + fqn_out = "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)" assert fqn == fqn_out - output_file = Path(tmp_path / "datahub_create_athena_table_with_metadata.json") + output_file = Path(tmp_path / "test_upsert_table.json") base_mock_graph.sink_to_file(output_file) - check_snapshot("datahub_create_athena_table_with_metadata.json", output_file) + check_snapshot("test_upsert_table.json", output_file) def test_domain_does_not_exist_error(self, datahub_client, database): with pytest.raises(InvalidDomain): - datahub_client.upsert_athena_database(metadata=database) + datahub_client.upsert_database(database=database) - def test_database_not_exist_with_no_metadata_given_error( - self, datahub_client, table - ): - with pytest.raises(MissingDatabaseMetadata): - datahub_client.upsert_athena_table(metadata=table) + def test_database_not_exist_given_error(self, datahub_client, table, database): + with pytest.raises(ReferencedEntityMissing): + datahub_client.upsert_table(table=table) + + def test_get_custom_property_key_value_pairs(self, datahub_client, database): + datahub_client._get_custom_property_key_value_pairs(database.custom_properties) diff --git a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py index 643d3f62..33276563 100644 --- a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py +++ b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py @@ -1,11 +1,21 @@ from datetime import datetime, timezone -from data_platform_catalogue.client.datahub.graphql_helpers import ( +from data_platform_catalogue.client.graphql_helpers import ( parse_columns, parse_created_and_modified, + parse_properties, parse_relations, ) -from data_platform_catalogue.entities import RelatedEntity, RelationshipType +from data_platform_catalogue.entities import ( + AccessInformation, + Column, + ColumnRef, + CustomEntityProperties, + DataSummary, + EntityRef, + RelationshipType, + UsageRestrictions, +) def test_parse_columns_with_primary_key_and_foreign_key(): @@ -21,7 +31,7 @@ def test_parse_columns_with_primary_key_and_foreign_key(): "nativeDataType": "string", }, { - "fieldPath": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", + "fieldPath": "upstream.upstreamLineage", "label": None, "nullable": False, "description": "Upstream lineage of a dataset", @@ -38,39 +48,40 @@ def test_parse_columns_with_primary_key_and_foreign_key(): "urn": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", "properties": {"name": "Dataset", "qualifiedName": None}, }, - "sourceFields": [ - { - "fieldPath": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage" - } - ], + "sourceFields": [{"fieldPath": "upstream.upstreamLineage"}], } ], } } assert parse_columns(entity) == [ - { - "name": "urn", - "type": "string", - "isPrimaryKey": True, - "foreignKeys": [], - "nullable": False, - "description": "The primary identifier for the dataset entity.", - }, - { - "name": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", - "type": "upstreamLineage", - "description": "Upstream lineage of a dataset", - "nullable": False, - "isPrimaryKey": False, - "foreignKeys": [ - { - "tableId": "urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", - "fieldName": "urn", - "tableName": "Dataset", - } + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=True, + foreign_keys=[], + ), + Column( + name="upstream.upstreamLineage", + display_name="upstreamLineage", + type="upstreamLineage", + description="Upstream lineage of a dataset", + nullable=False, + is_primary_key=False, + foreign_keys=[ + ColumnRef( + name="urn", + display_name="urn", + table=EntityRef( + urn="urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + display_name="Dataset", + ), + ) ], - }, + ), ] @@ -87,7 +98,7 @@ def test_parse_columns_with_no_keys(): "nativeDataType": "string", }, { - "fieldPath": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", + "fieldPath": "upstreamLineage", "label": None, "nullable": False, "description": "Upstream lineage of a dataset", @@ -101,22 +112,24 @@ def test_parse_columns_with_no_keys(): } assert parse_columns(entity) == [ - { - "name": "[version=2.0].[type=dataset].[type=UpstreamLineage].upstreamLineage", - "type": "upstreamLineage", - "description": "Upstream lineage of a dataset", - "nullable": False, - "isPrimaryKey": False, - "foreignKeys": [], - }, - { - "name": "urn", - "type": "string", - "isPrimaryKey": False, - "foreignKeys": [], - "nullable": False, - "description": "The primary identifier for the dataset entity.", - }, + Column( + name="upstreamLineage", + display_name="upstreamLineage", + type="upstreamLineage", + description="Upstream lineage of a dataset", + nullable=False, + is_primary_key=False, + foreign_keys=[], + ), + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=False, + foreign_keys=[], + ), ] @@ -144,7 +157,7 @@ def test_parse_relations(): result = parse_relations(RelationshipType.PARENT, relations["relationships"]) assert result == { RelationshipType.PARENT: [ - RelatedEntity(id="urn:li:dataProduct:test", name="test") + EntityRef(urn="urn:li:dataProduct:test", display_name="test") ] } @@ -165,3 +178,43 @@ def test_parse_created_and_modified(): assert created == datetime(2024, 3, 14, 14, 35, 20, tzinfo=timezone.utc) assert modified == datetime(2024, 3, 14, 14, 35, 21, tzinfo=timezone.utc) + + +def test_parse_properties(): + entity = { + "properties": { + "customProperties": [ + {"key": "dpia_required", "value": False}, + {"key": "dpia_location", "value": None}, + {"key": "data_sensitivity_level", "value": "OFFICIAL"}, + {"key": "where_to_access_dataset", "value": "analytical_platform"}, + {"key": "source_dataset_name", "value": ""}, + {"key": "s3_location", "value": "s3://databucket/"}, + {"key": "row_count", "value": 100}, + {"key": "Not_IN", "value": "dddd"}, + ], + "name": "test", + "description": "test description", + }, + "editableProperties": {"edit1": "q"}, + } + properties, custom_properties = parse_properties(entity) + + assert properties == { + "name": "test", + "description": "test description", + "edit1": "q", + } + + assert custom_properties == CustomEntityProperties( + usage_restrictions=UsageRestrictions( + dpia_required=False, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="analytical_platform", + source_dataset_name="", + s3_location="s3://databucket/", + ), + data_summary=DataSummary(row_count=100), + ) diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 6c9f57eb..8216084b 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -2,8 +2,12 @@ from unittest.mock import MagicMock import pytest -from data_platform_catalogue.client.datahub.search import SearchClient -from data_platform_catalogue.entities import RelatedEntity +from data_platform_catalogue.client.search import SearchClient +from data_platform_catalogue.entities import ( + AccessInformation, + DataSummary, + UsageRestrictions, +) from data_platform_catalogue.search_types import ( FacetOption, MultiSelectFilter, @@ -40,6 +44,26 @@ def test_empty_search_results(mock_graph, searcher): assert response == SearchResponse(total_results=0, page_results=[]) +def test_no_search_results(mock_graph, searcher): + datahub_response = { + "searchAcrossEntities": { + "start": 0, + "count": 0, + "total": 0, + "searchResults": [], + } + } + mock_graph.execute_graphql = MagicMock(return_value=datahub_response) + + response = searcher.search() + expected = SearchResponse( + total_results=0, + page_results=[], + facets=SearchFacets(facets={}), + ) + assert response == expected + + def test_one_search_result(mock_graph, searcher): datahub_response = { "searchAcrossEntities": { @@ -49,14 +73,17 @@ def test_one_search_result(mock_graph, searcher): "searchResults": [ { "entity": { - "type": "DATA_PRODUCT", - "urn": "urn:li:dataProduct:6cc5cbc4-c002-42c3-b80b-ed55df17d39f", + "type": "DATASET", + "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 + "platform": {"name": "bigquery"}, "ownership": None, + "name": "calm-pagoda-323403.jaffle_shop.customers", "properties": { - "name": "Use of force", - "description": "Prisons in England and Wales are required to record all instances of Use of Force within their establishment. Use of Force can be planned or unplanned and may involve various categories of control and restraint (C&R) techniques such as physical restraint or handcuffs.\n\nPlease refer to [PSO 1600](https://www.gov.uk/government/publications/use-of-force-in-prisons-pso-1600) for the current guidance.", # noqa E501 - "customProperties": [], - "numAssets": 7, + "name": "customers", + "qualifiedName": "jaffle_shop.customers", + "customProperties": [ + {"key": "dataSensitivity", "value": "OFFICIAL"}, + ], }, "domain": { "domain": { @@ -64,24 +91,14 @@ def test_one_search_result(mock_graph, searcher): "id": "3dc18e48-c062-4407-84a9-73e23f768023", "properties": { "name": "HMPPS", - "description": "HMPPS is an executive agency that carries out sentences given by the courts, in custody and the community, and rehabilitates people through education and employment.", # noqa E501 + "description": "HMPPS is an executive agency that ...", }, - } - }, - "tags": { - "tags": [ - { - "tag": { - "urn": "urn:li:tag:custody", - "properties": { - "name": "custody", - "description": "Data about prisons and prisoners. Not just NOMIS!", - }, - } - } - ] + }, + "editableProperties": None, + "tags": None, + "lastIngested": 1705990502353, }, - } + }, } ], } @@ -89,27 +106,42 @@ def test_one_search_result(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:dataProduct:6cc5cbc4-c002-42c3-b80b-ed55df17d39f", + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + result_type=ResultType.TABLE, + name="customers", + fully_qualified_name="jaffle_shop.customers", + description="", matches={}, - result_type=ResultType.DATA_PRODUCT, - name="Use of force", - fully_qualified_name="Use of force", - description="Prisons in England and Wales are required to record all instances of Use of Force within their establishment. Use of Force can be planned or unplanned and may involve various categories of control and restraint (C&R) techniques such as physical restraint or handcuffs.\n\nPlease refer to [PSO 1600](https://www.gov.uk/government/publications/use-of-force-in-prisons-pso-1600) for the current guidance.", # noqa E501 metadata={ - "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", - "domain_name": "HMPPS", "owner": "", "owner_email": "", - "number_of_assets": 7, + "total_parents": 0, + "parents": [], + "domain_name": "HMPPS", + "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, - tags=["custody"], + tags=[], + last_modified=None, + created=None, ) ], + facets=SearchFacets(facets={}), ) + assert response == expected def test_dataset_result(mock_graph, searcher): @@ -160,16 +192,16 @@ def test_dataset_result(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", - matches={}, + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", fully_qualified_name="jaffle_shop.customers", description="", + matches={}, metadata={ "owner": "", "owner_email": "", @@ -177,17 +209,25 @@ def test_dataset_result(mock_graph, searcher): "parents": [], "domain_name": "HMPPS", "domain_id": "urn:li:domain:3dc18e48-c062-4407-84a9-73e23f768023", - "StoredAsSubDirectories": "False", - "CreatedByJob": "moj-reg-prod-hmpps-assess-risks-and-needs-prod-glue-job", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Dataset"], }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, tags=[], - ), + last_modified=None, + created=None, + ) ], + facets=SearchFacets(facets={}), ) + assert response == expected def test_full_page(mock_graph, searcher): @@ -243,80 +283,104 @@ def test_full_page(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=5, page_results=[ SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", - matches={}, + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", fully_qualified_name="jaffle_shop.customers", description="", + matches={}, metadata={ "owner": "", "owner_email": "", - "parents": [], "total_parents": 0, + "parents": [], "domain_name": "", "domain_id": "", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Dataset"], }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, tags=[], - last_updated=datetime( + last_modified=datetime( 2024, 1, 23, 6, 15, 2, 353000, tzinfo=timezone.utc ), + created=None, ), SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", - matches={}, + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", result_type=ResultType.TABLE, name="customers2", - fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers2", + fully_qualified_name=None, description="", + matches={}, metadata={ "owner": "", "owner_email": "", - "parents": [], "total_parents": 0, + "parents": [], "domain_name": "", "domain_id": "", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Dataset"], }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, tags=[], - last_updated=None, + last_modified=None, + created=None, ), SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers3,PROD)", - matches={}, + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers3,PROD)", result_type=ResultType.TABLE, name="customers3", fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers3", description="", + matches={}, metadata={ "owner": "", "owner_email": "", - "parents": [], "total_parents": 0, + "parents": [], "domain_name": "", "domain_id": "", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Dataset"], }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, tags=[], - last_updated=None, + last_modified=None, + created=None, ), ], + facets=SearchFacets(facets={}), ) + assert response == expected + def test_query_match(mock_graph, searcher): datahub_response = { @@ -354,36 +418,46 @@ def test_query_match(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", + result_type=ResultType.TABLE, + name="customers", + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", + description="", matches={ "urn": "urn:li:dataset:(urn:li:dataPlatform:looker,long_tail_companions.view.customer_focused,PROD)", # noqa E501 "name": "customer_focused", "sensitivityLevel": "OFFICIAL", }, - result_type=ResultType.TABLE, - name="customers", - fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", - description="", metadata={ "owner": "", "owner_email": "", - "parents": [], "total_parents": 0, - "domain_id": "", + "parents": [], "domain_name": "", + "domain_id": "", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Dataset"], }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, tags=[], + last_modified=None, + created=None, ) ], + facets=SearchFacets(facets={}), ) + assert expected == response def test_result_with_owner(mock_graph, searcher): @@ -423,33 +497,44 @@ def test_result_with_owner(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", - matches={}, + urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="", + matches={}, metadata={ "owner": "Shannon Lovett", "owner_email": "shannon@longtail.com", - "parents": [], "total_parents": 0, - "domain_id": "", + "parents": [], "domain_name": "", + "domain_id": "", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Dataset"], }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, tags=[], + last_modified=None, + created=None, ) ], + facets=SearchFacets(facets={}), ) + assert response == expected + def test_filter(searcher, mock_graph): datahub_response = { @@ -659,139 +744,6 @@ def test_search_results_with_facets(searcher, mock_graph): ) -def test_result_with_data_product(mock_graph, searcher): - datahub_response = { - "searchAcrossEntities": { - "start": 0, - "count": 1, - "total": 1, - "searchResults": [ - { - "entity": { - "type": "DATASET", - "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 - "name": "calm-pagoda-323403.jaffle_shop.customers", - "subType": None, - "relationships": { - "total": 1, - "relationships": [ - { - "entity": { - "urn": "urn:abc", - "properties": {"name": "abc"}, - } - } - ], - }, - "properties": { - "name": "customers", - }, - }, - } - ], - } - } - - mock_graph.execute_graphql = MagicMock(return_value=datahub_response) - - response = searcher.search() - assert response == SearchResponse( - total_results=1, - page_results=[ - SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", - matches={}, - result_type=ResultType.TABLE, - name="customers", - fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", - description="", - metadata={ - "owner": "", - "owner_email": "", - "parents": [RelatedEntity(id="urn:abc", name="abc")], - "total_parents": 1, - "domain_id": "", - "domain_name": "", - "entity_types": { - "entity_type": "Dataset", - "entity_sub_types": ["Dataset"], - }, - }, - tags=[], - ) - ], - ) - - -def test_list_data_product_assets(mock_graph, searcher): - datahub_response = { - "listDataProductAssets": { - "start": 0, - "count": 20, - "total": 1, - "searchResults": [ - { - "entity": { - "type": "DATASET", - "urn": "urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", # noqa E501 - "name": "calm-pagoda-323403.jaffle_shop.customers", - "relationships": { - "total": 1, - "relationships": [ - { - "entity": { - "urn": "urn:abc", - "properties": {"name": "abc"}, - } - } - ], - }, - "properties": { - "name": "customers", - "description": "just some customers", - }, - }, - } - ], - } - } - - mock_graph.execute_graphql = MagicMock(return_value=datahub_response) - - response = searcher.list_data_product_assets( - urn="urn:li:dataProduct:test", - start=0, - count=20, - ) - - assert response == SearchResponse( - total_results=1, - page_results=[ - SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", - matches={}, - result_type=ResultType.TABLE, - name="customers", - fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", - description="just some customers", - metadata={ - "owner": "", - "owner_email": "", - "parents": [RelatedEntity(id="urn:abc", name="abc")], - "total_parents": 1, - "domain_id": "", - "domain_name": "", - "entity_types": { - "entity_type": "Dataset", - "entity_sub_types": ["Dataset"], - }, - }, - tags=[], - ) - ], - ) - - def test_get_glossary_terms(mock_graph, searcher): datahub_response = { "searchAcrossEntities": { @@ -840,7 +792,7 @@ def test_get_glossary_terms(mock_graph, searcher): total_results=2, page_results=[ SearchResult( - id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + urn="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", name="IAO", description="Information asset owner.\n", metadata={ @@ -856,7 +808,7 @@ def test_get_glossary_terms(mock_graph, searcher): result_type=ResultType.GLOSSARY_TERM, ), SearchResult( - id="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", + urn="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", name="Security classification", description="Only data that is 'official'", metadata={"parentNodes": []}, @@ -907,24 +859,48 @@ def test_search_for_charts(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:chart:(justice-data,absconds)", + urn="urn:li:chart:(justice-data,absconds)", + result_type=ResultType.CHART, name="Absconds", - fully_qualified_name="Absconds", + fully_qualified_name=None, description="test", matches={ "urn": "urn:li:chart:(justice-data,absconds)", "description": "test", "title": "Absconds", }, - result_type=ResultType.CHART, + metadata={ + "owner": "", + "owner_email": "", + "total_parents": 0, + "parents": [], + "domain_name": "", + "domain_id": "", + "entity_types": { + "entity_type": "Dataset", + "entity_sub_types": ["Dataset"], + }, + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", + }, + tags=[], + last_modified=None, + created=None, ) ], + facets=SearchFacets(facets={}), ) + assert expected == response + def test_search_for_container(mock_graph, searcher): datahub_response = { @@ -1000,11 +976,12 @@ def test_search_for_container(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.search() - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:container:test_db", + urn="urn:li:container:test_db", + result_type=ResultType.DATABASE, name="test_db", fully_qualified_name="test_db", description="test", @@ -1013,22 +990,41 @@ def test_search_for_container(mock_graph, searcher): "description": "test", "name": "test_db", }, - result_type=ResultType.DATABASE, metadata={ "owner": "Shannon Lovett", "owner_email": "shannon@longtail.com", - "domain_id": "urn:li:domain:testdom", "domain_name": "testdom", - "dpia_required": "False", + "domain_id": "urn:li:domain:testdom", "entity_types": { "entity_type": "Container", "entity_sub_types": ["Database"], }, + "dpia_required": "False", + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", + "usage_restrictions": UsageRestrictions( + status=None, + dpia_required="False", + dpia_location=None, + ), + "access_information": AccessInformation( + where_to_access_dataset="", + source_dataset_name="", + s3_location=None, + ), + "data_summary": DataSummary(), }, tags=["test"], + last_modified=None, + created=None, ) ], + facets=SearchFacets(facets={}), ) + assert response == expected def test_list_database_tables(mock_graph, searcher): @@ -1065,29 +1061,40 @@ def test_list_database_tables(mock_graph, searcher): mock_graph.execute_graphql = MagicMock(return_value=datahub_response) response = searcher.list_database_tables(urn="urn:li:athena:test", count=10) - assert response == SearchResponse( + expected = SearchResponse( total_results=1, page_results=[ SearchResult( - id="urn:li:dataset:(urn:li:dataPlatform:athena,test_db.test_table,PROD)", + urn="urn:li:dataset:(urn:li:dataPlatform:athena,test_db.test_table,PROD)", + result_type=ResultType.TABLE, name="test_table", fully_qualified_name="test_db.test_table", description="just for test", - result_type=ResultType.TABLE, + matches={}, metadata={ "owner": "", "owner_email": "", - "domain_id": "", + "total_parents": 0, + "parents": [], "domain_name": "", - "whereToAccessDataset": "analytical_platform", - "sensitivityLevel": "OFFICIAL", + "domain_id": "", "entity_types": { "entity_type": "Dataset", "entity_sub_types": ["Table"], }, - "total_parents": 0, - "parents": [], + "dpia_required": None, + "dpia_location": None, + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": None, + "row_count": "", }, + tags=[], + last_modified=None, + created=None, ) ], + facets=SearchFacets(facets={}), ) + + assert response == expected diff --git a/lib/datahub-client/tests/conftest.py b/lib/datahub-client/tests/conftest.py index 7752d91a..8878a6c5 100644 --- a/lib/datahub-client/tests/conftest.py +++ b/lib/datahub-client/tests/conftest.py @@ -12,9 +12,9 @@ @pytest.fixture def base_entity_metadata(): return { - "urn:li:domain:12345": { + "urn:li:domain:LAA": { "domainProperties": DomainPropertiesClass( - name="Marketing", description="Marketing Domain" + name="LAA", description="Legal Aid Authority" ) } } diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table.json b/lib/datahub-client/tests/snapshots/datahub_create_table.json deleted file mode 100644 index 75a4dd6b..00000000 --- a/lib/datahub-client/tests/snapshots/datahub_create_table.json +++ /dev/null @@ -1,77 +0,0 @@ -[ -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", - "changeType": "UPSERT", - "aspectName": "datasetProperties", - "aspect": { - "json": { - "customProperties": { - "sourceDatasetName": "my_source_table", - "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "OFFICIAL", - "rowCount": "1177" - }, - "name": "my_table", - "qualifiedName": "my_database.my_table", - "description": "bla bla", - "tags": [] - } - } -}, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", - "changeType": "UPSERT", - "aspectName": "schemaMetadata", - "aspect": { - "json": { - "schemaName": "my_table", - "platform": "urn:li:dataPlatform:glue", - "version": 1, - "created": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "lastModified": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "hash": "", - "platformSchema": { - "com.linkedin.schema.OtherSchema": { - "rawSchema": "" - } - }, - "fields": [ - { - "fieldPath": "foo", - "nullable": false, - "description": "a", - "type": { - "type": { - "com.linkedin.schema.StringType": {} - } - }, - "nativeDataType": "string", - "recursive": false, - "isPartOfKey": false - }, - { - "fieldPath": "bar", - "nullable": false, - "description": "b", - "type": { - "type": { - "com.linkedin.schema.NumberType": {} - } - }, - "nativeDataType": "int", - "recursive": false, - "isPartOfKey": false - } - ] - } - } -} -] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json deleted file mode 100644 index 833a67bb..00000000 --- a/lib/datahub-client/tests/snapshots/datahub_create_table_with_metadata.json +++ /dev/null @@ -1,162 +0,0 @@ -[ -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", - "changeType": "UPSERT", - "aspectName": "datasetProperties", - "aspect": { - "json": { - "customProperties": { - "sourceDatasetName": "my_source_table", - "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "OFFICIAL", - "rowCount": "1177" - }, - "name": "my_table", - "qualifiedName": "my_database.my_table", - "description": "bla bla", - "tags": [] - } - } -}, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", - "changeType": "UPSERT", - "aspectName": "schemaMetadata", - "aspect": { - "json": { - "schemaName": "my_table", - "platform": "urn:li:dataPlatform:glue", - "version": 1, - "created": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "lastModified": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "hash": "", - "platformSchema": { - "com.linkedin.schema.OtherSchema": { - "rawSchema": "" - } - }, - "fields": [ - { - "fieldPath": "foo", - "nullable": false, - "description": "a", - "type": { - "type": { - "com.linkedin.schema.StringType": {} - } - }, - "nativeDataType": "string", - "recursive": false, - "isPartOfKey": false - }, - { - "fieldPath": "bar", - "nullable": false, - "description": "b", - "type": { - "type": { - "com.linkedin.schema.NumberType": {} - } - }, - "nativeDataType": "int", - "recursive": false, - "isPartOfKey": false - } - ] - } - } -}, -{ - "entityType": "domain", - "entityUrn": "urn:li:domain:LAA", - "changeType": "UPSERT", - "aspectName": "domainProperties", - "aspect": { - "json": { - "name": "LAA", - "description": "" - } - } -}, -{ - "entityType": "domain", - "entityUrn": "urn:li:domain:Legal Aid", - "changeType": "UPSERT", - "aspectName": "domainProperties", - "aspect": { - "json": { - "name": "Legal Aid", - "description": "", - "parentDomain": "urn:li:domain:LAA" - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "domains", - "aspect": { - "json": { - "domains": [ - "urn:li:domain:Legal Aid" - ] - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "owner_display_name": "April Gonzalez", - "maintainer": "j.shelvey@digital.justice.gov.uk", - "maintainer_display_name": "Jonjo Shelvey", - "email": "justice@justice.gov.uk", - "retention_period_in_days": "365", - "dpia_required": "False", - "dpia_location": "None", - "last_updated": "2020-05-17 00:00:00", - "creation_date": "2020-05-17 00:00:00", - "s3_location": "s3://databucket/", - "status": "DataProductStatus.DRAFT" - }, - "name": "my_data_product", - "description": "bla bla" - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "version": "2.0", - "dpia": "false" - }, - "name": "my_data_product", - "description": "bla bla", - "assets": [ - { - "sourceUrn": "urn:li:dataProduct:my_data_product", - "destinationUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" - } - ] - } - } -} -] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json b/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json deleted file mode 100644 index d9fe0634..00000000 --- a/lib/datahub-client/tests/snapshots/datahub_create_two_tables_with_metadata.json +++ /dev/null @@ -1,259 +0,0 @@ -[ -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", - "changeType": "UPSERT", - "aspectName": "datasetProperties", - "aspect": { - "json": { - "customProperties": { - "sourceDatasetName": "my_source_table", - "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "OFFICIAL", - "rowCount": "1177" - }, - "name": "my_table", - "qualifiedName": "my_database.my_table", - "description": "bla bla", - "tags": [] - } - } -}, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)", - "changeType": "UPSERT", - "aspectName": "schemaMetadata", - "aspect": { - "json": { - "schemaName": "my_table", - "platform": "urn:li:dataPlatform:glue", - "version": 1, - "created": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "lastModified": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "hash": "", - "platformSchema": { - "com.linkedin.schema.OtherSchema": { - "rawSchema": "" - } - }, - "fields": [ - { - "fieldPath": "foo", - "nullable": false, - "description": "a", - "type": { - "type": { - "com.linkedin.schema.StringType": {} - } - }, - "nativeDataType": "string", - "recursive": false, - "isPartOfKey": false - }, - { - "fieldPath": "bar", - "nullable": false, - "description": "b", - "type": { - "type": { - "com.linkedin.schema.NumberType": {} - } - }, - "nativeDataType": "int", - "recursive": false, - "isPartOfKey": false - } - ] - } - } -}, -{ - "entityType": "domain", - "entityUrn": "urn:li:domain:LAA", - "changeType": "UPSERT", - "aspectName": "domainProperties", - "aspect": { - "json": { - "name": "LAA", - "description": "" - } - } -}, -{ - "entityType": "domain", - "entityUrn": "urn:li:domain:Legal Aid", - "changeType": "UPSERT", - "aspectName": "domainProperties", - "aspect": { - "json": { - "name": "Legal Aid", - "description": "", - "parentDomain": "urn:li:domain:LAA" - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "domains", - "aspect": { - "json": { - "domains": [ - "urn:li:domain:Legal Aid" - ] - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "owner_display_name": "April Gonzalez", - "maintainer": "j.shelvey@digital.justice.gov.uk", - "maintainer_display_name": "Jonjo Shelvey", - "email": "justice@justice.gov.uk", - "retention_period_in_days": "365", - "dpia_required": "False", - "dpia_location": "None", - "last_updated": "2020-05-17 00:00:00", - "creation_date": "2020-05-17 00:00:00", - "s3_location": "s3://databucket/", - "status": "DataProductStatus.DRAFT" - }, - "name": "my_data_product", - "description": "bla bla" - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "version": "2.0", - "dpia": "false" - }, - "name": "my_data_product", - "description": "bla bla", - "assets": [ - { - "sourceUrn": "urn:li:dataProduct:my_data_product", - "destinationUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table,PROD)" - } - ] - } - } -}, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)", - "changeType": "UPSERT", - "aspectName": "datasetProperties", - "aspect": { - "json": { - "customProperties": { - "sourceDatasetName": "my_source_table", - "whereToAccessDataset": "s3://databucket/table2", - "sensitivityLevel": "OFFICIAL", - "rowCount": "1177" - }, - "name": "my_table2", - "qualifiedName": "my_database.my_table2", - "description": "this is a different table", - "tags": [] - } - } -}, -{ - "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)", - "changeType": "UPSERT", - "aspectName": "schemaMetadata", - "aspect": { - "json": { - "schemaName": "my_table2", - "platform": "urn:li:dataPlatform:glue", - "version": 1, - "created": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "lastModified": { - "time": 0, - "actor": "urn:li:corpuser:unknown" - }, - "hash": "", - "platformSchema": { - "com.linkedin.schema.OtherSchema": { - "rawSchema": "" - } - }, - "fields": [ - { - "fieldPath": "boo", - "nullable": false, - "description": "spooky", - "type": { - "type": { - "com.linkedin.schema.BooleanType": {} - } - }, - "nativeDataType": "boolean", - "recursive": false, - "isPartOfKey": false - }, - { - "fieldPath": "yar", - "nullable": false, - "description": "shiver my timbers", - "type": { - "type": { - "com.linkedin.schema.StringType": {} - } - }, - "nativeDataType": "string", - "recursive": false, - "isPartOfKey": false - } - ] - } - } -}, -{ - "entityType": "dataproduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "version": "2.0", - "dpia": "false" - }, - "name": "my_data_product", - "description": "bla bla", - "assets": [ - { - "sourceUrn": "urn:li:dataProduct:my_data_product", - "destinationUrn": "urn:li:dataset:(urn:li:dataPlatform:glue,my_database.my_table2,PROD)" - } - ] - } - } -} -] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json b/lib/datahub-client/tests/snapshots/test_upsert_table.json similarity index 53% rename from lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json rename to lib/datahub-client/tests/snapshots/test_upsert_table.json index 356be2f7..da541768 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_athena_table_with_metadata.json +++ b/lib/datahub-client/tests/snapshots/test_upsert_table.json @@ -1,31 +1,34 @@ [ { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "datasetProperties", "aspect": { "json": { "customProperties": { - "sourceDatasetName": "my_source_table", - "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "OFFICIAL" + "dpia_required": "True", + "dpia_location": "None", + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": "None", + "row_count": "5" }, - "name": "my_table", - "qualifiedName": "my_database.my_table", - "description": "bla bla", + "name": "Dataset", + "qualifiedName": "database.Dataset", + "description": "Dataset", "tags": [] } } }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "schemaMetadata", "aspect": { "json": { - "schemaName": "my_table", + "schemaName": "Dataset", "platform": "urn:li:dataPlatform:athena", "version": 1, "created": { @@ -44,9 +47,9 @@ }, "fields": [ { - "fieldPath": "foo", + "fieldPath": "urn", "nullable": false, - "description": "a", + "description": "The primary identifier for the dataset entity.", "type": { "type": { "com.linkedin.schema.StringType": {} @@ -55,19 +58,6 @@ "nativeDataType": "string", "recursive": false, "isPartOfKey": false - }, - { - "fieldPath": "bar", - "nullable": false, - "description": "b", - "type": { - "type": { - "com.linkedin.schema.NumberType": {} - } - }, - "nativeDataType": "int", - "recursive": false, - "isPartOfKey": false } ] } @@ -75,7 +65,7 @@ }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "subTypes", "aspect": { @@ -88,7 +78,7 @@ }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "container", "aspect": { @@ -96,5 +86,33 @@ "container": "urn:li:container:my_database" } } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [ + { + "tag": "urn:li:tag:some-tag" + } + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:LAA" + ] + } + } } ] \ No newline at end of file diff --git a/lib/datahub-client/tests/snapshots/datahub_create_athena_table.json b/lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json similarity index 58% rename from lib/datahub-client/tests/snapshots/datahub_create_athena_table.json rename to lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json index 906198e6..903e8004 100644 --- a/lib/datahub-client/tests/snapshots/datahub_create_athena_table.json +++ b/lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json @@ -1,4 +1,17 @@ [ +{ + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:LAA" + ] + } + } +}, { "entityType": "container", "entityUrn": "urn:li:container:my_database", @@ -7,18 +20,12 @@ "aspect": { "json": { "customProperties": { - "owner_display_name": "April Gonzalez", - "maintainer": "j.shelvey@digital.justice.gov.uk", - "maintainer_display_name": "Jonjo Shelvey", - "email": "justice@justice.gov.uk", - "retention_period_in_days": "365", - "subdomain": "Legal Aid", "dpia_required": "False", "dpia_location": "None", - "last_updated": "2020-05-17 00:00:00", - "creation_date": "2020-05-17 00:00:00", + "where_to_access_dataset": "analytical_platform", + "source_dataset_name": "", "s3_location": "s3://databucket/", - "status": "PROD" + "row_count": "" }, "name": "my_database", "description": "little test db" @@ -38,33 +45,47 @@ } } }, +{ + "entityType": "container", + "entityUrn": "urn:li:container:my_database", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:athena" + } + } +}, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "datasetProperties", "aspect": { "json": { "customProperties": { - "sourceDatasetName": "my_source_table", - "whereToAccessDataset": "s3://databucket/table1", - "sensitivityLevel": "OFFICIAL" + "dpia_required": "True", + "dpia_location": "None", + "where_to_access_dataset": "", + "source_dataset_name": "", + "s3_location": "None", + "row_count": "5" }, - "name": "my_table", - "qualifiedName": "my_database.my_table", - "description": "bla bla", + "name": "Dataset", + "qualifiedName": "database.Dataset", + "description": "Dataset", "tags": [] } } }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "schemaMetadata", "aspect": { "json": { - "schemaName": "my_table", + "schemaName": "Dataset", "platform": "urn:li:dataPlatform:athena", "version": 1, "created": { @@ -83,9 +104,9 @@ }, "fields": [ { - "fieldPath": "foo", + "fieldPath": "urn", "nullable": false, - "description": "a", + "description": "The primary identifier for the dataset entity.", "type": { "type": { "com.linkedin.schema.StringType": {} @@ -94,19 +115,6 @@ "nativeDataType": "string", "recursive": false, "isPartOfKey": false - }, - { - "fieldPath": "bar", - "nullable": false, - "description": "b", - "type": { - "type": { - "com.linkedin.schema.NumberType": {} - } - }, - "nativeDataType": "int", - "recursive": false, - "isPartOfKey": false } ] } @@ -114,7 +122,7 @@ }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", "aspectName": "subTypes", "aspect": { @@ -126,24 +134,41 @@ } }, { - "entityType": "container", - "entityUrn": "urn:li:container:my_database", + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", - "aspectName": "dataPlatformInstance", + "aspectName": "container", "aspect": { "json": { - "platform": "urn:li:dataPlatform:athena" + "container": "urn:li:container:my_database" } } }, { "entityType": "dataset", - "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.my_table,PROD)", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", "changeType": "UPSERT", - "aspectName": "container", + "aspectName": "globalTags", "aspect": { "json": { - "container": "urn:li:container:my_database" + "tags": [ + { + "tag": "urn:li:tag:some-tag" + } + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:athena,database.Dataset,PROD)", + "changeType": "UPSERT", + "aspectName": "domains", + "aspect": { + "json": { + "domains": [ + "urn:li:domain:LAA" + ] } } } diff --git a/lib/datahub-client/tests/test_entities.py b/lib/datahub-client/tests/test_entities.py deleted file mode 100644 index 99ec92ea..00000000 --- a/lib/datahub-client/tests/test_entities.py +++ /dev/null @@ -1,94 +0,0 @@ -from datetime import datetime - -import pytest -from data_platform_catalogue.entities import ( - DataProductMetadata, - DataProductStatus, - SecurityClassification, - TableMetadata, -) - - -@pytest.fixture -def data_product(): - return DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - - -@pytest.fixture -def table(): - return TableMetadata( - name="my_table", - description="bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days=None, - source_dataset_name="my_source_table", - where_to_access_dataset="s3://source-bucket/folder", - data_sensitivity_level=SecurityClassification.OFFICIAL, - tags=["test"], - ) - - -def test_from_data_product_metadata_dict(data_product): - data_product2 = DataProductMetadata.from_data_product_metadata_dict( - { - "name": "my_data_product", - "description": "bla bla", - "domain": "LAA", - "subdomain": "Legal Aid", - "dataProductOwner": "justice@justice.gov.uk", - "dataProductOwnerDisplayName": "April Gonzalez", - "dataProductMaintainer": "j.shelvey@digital.justice.gov.uk", - "dataProductMaintainerDisplayName": "Jonjo Shelvey", - "email": "justice@justice.gov.uk", - "status": "DRAFT", - "dpiaRequired": False, - "retentionPeriod": 365, - "lastUpdated": "20200517", - "creationDate": "20200517", - "s3Location": "s3://databucket/", - "tags": ["test"], - }, - "v1.0.0", - "2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - ) - assert data_product2 == data_product - - -def test_from_data_product_schema_dict(table): - table2 = TableMetadata.from_data_product_schema_dict( - { - "tableDescription": "bla bla", - "columns": [ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - "tags": ["test"], - "sourceDatasetName": "my_source_table", - "sourceDatasetLocation": "s3://source-bucket/folder", - }, - "my_table", - ) - - assert table2 == table diff --git a/lib/datahub-client/tests/test_helpers/graph_helpers.py b/lib/datahub-client/tests/test_helpers/graph_helpers.py index ffa2cc64..64290591 100644 --- a/lib/datahub-client/tests/test_helpers/graph_helpers.py +++ b/lib/datahub-client/tests/test_helpers/graph_helpers.py @@ -40,7 +40,8 @@ def import_file(self, file: Path) -> None: This function can be called repeatedly on the same Mock instance to load up metadata from multiple files.""" file_source: GenericFileSource = GenericFileSource( - ctx=PipelineContext(run_id="test"), config=FileSourceConfig(path=str(file)) + ctx=PipelineContext(run_id="test"), + config=FileSourceConfig(path=str(file), file_extension=file.suffix), ) for wu in file_source.get_workunits(): if isinstance(wu, MetadataWorkUnit): @@ -79,8 +80,8 @@ def get_aspect( result = self.entity_graph.get(entity_urn, {}).get(aspect_name, None) if result is not None and isinstance(result, dict): return aspect_type.from_obj(result) - else: - return result + + return result def get_domain_urn_by_name(self, domain_name: str) -> Optional[str]: domain_metadata = { @@ -101,8 +102,8 @@ def get_domain_urn_by_name(self, domain_name: str) -> Optional[str]: ] if urn_match: return urn_match[0] - else: - return None + + return None def emit( self, diff --git a/lib/datahub-client/tests/test_integration_with_datahub_server.py b/lib/datahub-client/tests/test_integration_with_datahub_server.py index 3612b0d3..9eade49b 100644 --- a/lib/datahub-client/tests/test_integration_with_datahub_server.py +++ b/lib/datahub-client/tests/test_integration_with_datahub_server.py @@ -9,93 +9,33 @@ import os import time -from datetime import datetime +from datetime import datetime, timezone import pytest -from data_platform_catalogue import DatabaseMetadata, DataProductMetadata, TableMetadata -from data_platform_catalogue.client.datahub.datahub_client import DataHubCatalogueClient +from data_platform_catalogue.client.datahub_client import DataHubCatalogueClient from data_platform_catalogue.entities import ( - DatabaseStatus, - DataLocation, - DataProductStatus, + AccessInformation, + Column, + ColumnRef, + CustomEntityProperties, + Database, + DataSummary, + DomainRef, + EntityRef, + Governance, + OwnerRef, + RelationshipType, + Table, + TagRef, + UsageRestrictions, ) from data_platform_catalogue.search_types import MultiSelectFilter, ResultType -from datahub.metadata.schema_classes import DatasetPropertiesClass, SchemaMetadataClass jwt_token = os.environ.get("JWT_TOKEN") api_url = os.environ.get("API_URL", "") runs_on_development_server = pytest.mark.skipif("not jwt_token or not api_url") -@runs_on_development_server -def test_data_product_upsert_test_hierarchy(): - client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - - data_product = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT.name, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - - table = TableMetadata( - name="test_table", - description="bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days=365, - source_dataset_name="my_source_table", - where_to_access_dataset="s3://databucket/folder", - tags=["test"], - ) - - table_fqn = client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("test_data_product_v2"), - ) - assert ( - table_fqn - == "urn:li:dataset:(urn:li:dataPlatform:glue,test_data_product_v2.test_table,PROD)" - ) - - # Ensure data went through - assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) - assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) - - dataset_properties = client.graph.get_aspect( - table_fqn, aspect_type=DatasetPropertiesClass - ) - # check properties been loaded to datahub dataset - assert dataset_properties.description == table.description - assert dataset_properties.qualifiedName == f"test_data_product_v2.{table.name}" - assert dataset_properties.name == table.name - assert ( - dataset_properties.customProperties["sourceDatasetName"] - == table.source_dataset_name - ) - assert ( - dataset_properties.customProperties["whereToAccessDataset"] - == table.where_to_access_dataset - ) - - @runs_on_development_server def test_search(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) @@ -104,46 +44,13 @@ def test_search(): assert len(response.page_results) == 20 -@runs_on_development_server -def test_search_for_data_product(): - client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - - data_product = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT.name, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - client.upsert_data_product(data_product) - - response = client.search( - query="my_data_product", result_types=(ResultType.DATA_PRODUCT,) - ) - assert response.total_results >= 1 - assert response.page_results[0].id == "urn:li:dataProduct:my_data_product" - - @runs_on_development_server def test_search_by_domain(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) response = client.search( filters=[MultiSelectFilter("domains", ["does-not-exist"])], - result_types=(ResultType.DATA_PRODUCT,), + result_types=(ResultType.TABLE,), ) assert response.total_results == 0 @@ -152,27 +59,43 @@ def test_search_by_domain(): def test_domain_facets_are_returned(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - data_product = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT.name, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), + database = Database( + name="my_database", + description="little test db", + governance=Governance( + data_owner=OwnerRef( + urn="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + display_name="April Gonzalez", + email="abc@digital.justice.gov.uk", + ), + data_stewards=[ + OwnerRef( + urn="abc", + display_name="Jonjo Shelvey", + email="j.shelvey@digital.justice.gov.uk", + ) + ], + ), + domain=DomainRef(urn="LAA", display_name="LAA"), + last_modified=datetime(2020, 5, 17), creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], + access_information=AccessInformation( + s3_location="s3://databucket/", + ), + tags=[TagRef(urn="test", display_name="test")], + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + dpia_required=False, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="analytical_platform", + s3_location="s3://databucket/", + ), + ), ) - client.upsert_data_product(data_product) + client.upsert_database(database) response = client.search() assert response.facets.options("domains") @@ -183,27 +106,43 @@ def test_domain_facets_are_returned(): def test_filter_by_urn(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - data_product = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT.name, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), + database = Database( + name="my_database", + description="little test db", + governance=Governance( + data_owner=OwnerRef( + urn="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + display_name="April Gonzalez", + email="abc@digital.justice.gov.uk", + ), + data_stewards=[ + OwnerRef( + urn="abc", + display_name="Jonjo Shelvey", + email="j.shelvey@digital.justice.gov.uk", + ) + ], + ), + domain=DomainRef(urn="LAA", display_name="LAA"), + last_modified=datetime(2020, 5, 17), creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], + access_information=AccessInformation( + s3_location="s3://databucket/", + ), + tags=[TagRef(urn="test", display_name="test")], + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + dpia_required=False, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="analytical_platform", + s3_location="s3://databucket/", + ), + ), ) - urn = client.upsert_data_product(data_product) + urn = client.upsert_database(database) response = client.search( filters=[MultiSelectFilter(filter_name="urn", included_values=[urn])] @@ -215,45 +154,101 @@ def test_filter_by_urn(): def test_fetch_dataset_belonging_to_data_product(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - data_product = DataProductMetadata( - name="my_data_product", - description="bla bla", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DataProductStatus.DRAFT.name, - retention_period_in_days=365, - domain="LAA", - subdomain="Legal Aid", - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), + database = Database( + name="my_database", + description="little test db", + display_name="database", + governance=Governance( + data_owner=OwnerRef( + urn="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", + display_name="April Gonzalez", + email="abc@digital.justice.gov.uk", + ), + data_stewards=[ + OwnerRef( + urn="abc", + display_name="Jonjo Shelvey", + email="j.shelvey@digital.justice.gov.uk", + ) + ], + ), + domain=DomainRef(urn="LAA", display_name="LAA"), + last_modified=datetime(2020, 5, 17), creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], + access_information=AccessInformation( + s3_location="s3://databucket/", + ), + tags=[TagRef(urn="test", display_name="test")], + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties( + usage_restrictions=UsageRestrictions( + dpia_required=False, + dpia_location=None, + ), + access_information=AccessInformation( + where_to_access_dataset="analytical_platform", + s3_location="s3://databucket/", + ), + ), ) - - table = TableMetadata( - name="test_table", - description="bla bla", + client.upsert_database(database) + + table = Table( + urn=None, + display_name="Foo.Dataset", + name="Dataset", + fully_qualified_name="Foo.Dataset", + description="Dataset", + relationships={ + RelationshipType.PARENT: [ + EntityRef(urn="urn:li:container:my_database", display_name="database") + ] + }, + domain=DomainRef(display_name="", urn=""), + governance=Governance( + data_owner=OwnerRef( + display_name="", email="Contact email for the user", urn="" + ), + data_stewards=[ + OwnerRef(display_name="", email="Contact email for the user", urn="") + ], + ), + tags=[TagRef(display_name="some-tag", urn="urn:li:tag:Entity")], + last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + created=None, column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=True, + foreign_keys=[ + ColumnRef( + name="urn", + display_name="urn", + table=EntityRef( + urn="urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + display_name="Dataset", + ), + ) + ], + ), ], - retention_period_in_days=365, - source_dataset_name="my_source_table", - where_to_access_dataset="s3://databucket/folder", - tags=["test"], - ) - - urn = client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("test_data_product_v2"), + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties( + access_information=AccessInformation( + where_to_access_dataset="", source_dataset_name="", s3_location=None + ), + data_summary=DataSummary(row_count=5), + usage_restrictions=UsageRestrictions( + dpia_required=True, + dpia_location=None, + ), + ), ) + urn = client.upsert_table(table=table) # Introduce sleep to combat race conditions with table association time.sleep(2) @@ -276,9 +271,9 @@ def test_paginated_search_results_unique(): @runs_on_development_server -def test_list_data_product_assets_returns(): +def test_list_database_tables(): client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - assets = client.list_data_product_assets( + assets = client.list_database_tables( urn="urn:li:dataProduct:my_data_product", count=20 ) assert assets @@ -307,69 +302,69 @@ def test_get_dataset(): assert table -@runs_on_development_server -def test_athena_upsert_test_hierarchy(): - client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - - database = DatabaseMetadata( - name="my_database", - description="testing", - version="v1.0.0", - owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", - owner_display_name="April Gonzalez", - maintainer="j.shelvey@digital.justice.gov.uk", - maintainer_display_name="Jonjo Shelvey", - email="justice@justice.gov.uk", - status=DatabaseStatus.PROD.name, - retention_period_in_days=365, - domain="prison", - subdomain=None, - dpia_required=False, - dpia_location=None, - last_updated=datetime(2020, 5, 17), - creation_date=datetime(2020, 5, 17), - s3_location="s3://databucket/", - tags=["test"], - ) - - table = TableMetadata( - name="test_table", - parent_database_name="my_database", - description="bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days=365, - where_to_access_dataset="analytical_platform", - tags=["test"], - ) - - table_fqn = client.upsert_athena_table( - metadata=table, - database_metadata=database, - ) - assert ( - table_fqn - == "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.test_table,PROD)" - ) - - # Ensure data went through - assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) - assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) - - dataset_properties = client.graph.get_aspect( - table_fqn, aspect_type=DatasetPropertiesClass - ) - # check properties been loaded to datahub dataset - assert dataset_properties.description == table.description - assert dataset_properties.qualifiedName == f"{database.name}.{table.name}" - assert dataset_properties.name == table.name - assert ( - dataset_properties.customProperties["sourceDatasetName"] - == table.source_dataset_name - ) - assert ( - dataset_properties.customProperties["whereToAccessDataset"] - == table.where_to_access_dataset - ) +# @runs_on_development_server +# def test_athena_upsert_test_hierarchy(): +# client = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) + +# database = Database( +# name="my_database", +# description="testing", +# version="v1.0.0", +# owner="2e1fa91a-c607-49e4-9be2-6f072ebe27c7", +# owner_display_name="April Gonzalez", +# maintainer="j.shelvey@digital.justice.gov.uk", +# maintainer_display_name="Jonjo Shelvey", +# email="justice@justice.gov.uk", +# retention_period_in_days=365, +# domain="prison", +# subdomain=None, +# dpia_required=False, +# dpia_location=None, +# last_modified=datetime(2020, 5, 17), +# creation_date=datetime(2020, 5, 17), +# s3_location="s3://databucket/", +# tags=["test"], +# ) + +# table = Table( +# name="test_table", +# parent_database_name="my_database", +# description="bla bla", +# column_details=[ +# {"name": "foo", "type": "string", "description": "a"}, +# {"name": "bar", "type": "int", "description": "b"}, +# ], +# retention_period_in_days=365, +# where_to_access_dataset="analytical_platform", +# tags=["test"], +# ) + +# # This function doesn't exist after the refactor. Unsure if we still need the test. +# table_fqn = client.upsert_athena_table( +# metadata=table, +# database_metadata=database, +# ) +# assert ( +# table_fqn +# == "urn:li:dataset:(urn:li:dataPlatform:athena,my_database.test_table,PROD)" +# ) + +# # Ensure data went through +# assert client.graph.get_aspect(table_fqn, DatasetPropertiesClass) +# assert client.graph.get_aspect(table_fqn, SchemaMetadataClass) + +# dataset_properties = client.graph.get_aspect( +# table_fqn, aspect_type=DatasetPropertiesClass +# ) +# # check properties been loaded to datahub dataset +# assert dataset_properties.description == table.description +# assert dataset_properties.qualifiedName == f"{database.name}.{table.name}" +# assert dataset_properties.name == table.name +# assert ( +# dataset_properties.customProperties["sourceDatasetName"] +# == table.source_dataset_name +# ) +# assert ( +# dataset_properties.customProperties["whereToAccessDataset"] +# == table.where_to_access_dataset +# ) diff --git a/lib/datahub-client/tests/test_resources/golden_data_product_in.json b/lib/datahub-client/tests/test_resources/golden_data_product_in.json deleted file mode 100644 index 4fc6a087..00000000 --- a/lib/datahub-client/tests/test_resources/golden_data_product_in.json +++ /dev/null @@ -1,59 +0,0 @@ -[ - { - "entityType": "dataProduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "dataProductProperties", - "aspect": { - "json": { - "customProperties": { - "version": "2.0", - "dpia": "false" - }, - "externalUrl": "https://github.com/datahub-project/datahub", - "name": "my_data_product", - "description": "bla bla", - "assets": [] - } - } - }, - { - "entityType": "dataProduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "domains", - "aspect": { - "json": { - "domains": [ - "urn:li:domain:LAA" - ] - } - } - }, - { - "entityType": "dataProduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "globalTags", - "aspect": { - "json": { - "tags": [ - { - "tag": "urn:li:tag:awesome" - } - ] - } - } - }, - { - "entityType": "dataProduct", - "entityUrn": "urn:li:dataProduct:my_data_product", - "changeType": "UPSERT", - "aspectName": "status", - "aspect": { - "json": { - "removed": false - } - } - } -] From 11e6192b7397effac4bd1589c15bfdc82b5eb9f9 Mon Sep 17 00:00:00 2001 From: Mat Date: Wed, 1 May 2024 14:47:38 +0100 Subject: [PATCH 49/64] Consistently parse names from datahub (#4244) * Consistently parse names from datahub Previously, we were parsing names inconsistently, and there were edge cases where we would get unexpected None values or KeyErrors. Datahub has 4 possible names that might be set - name: Unique guid for dataset No longer to be used as the Dataset display name. Use properties.name instead - properties.name - properties.displayName - properties.qualifiedName These are used inconsistently by different ingestion sources. If we have displayName / qualifiedName it's unambiguous, but the top level name can be either. We expose 3 values: - `displayName` and `qualifiedName` align with the corresponding datahub names, and fall back to the generic name if not set. - `name` is probably redundant now, but I've kept it in to avoid breaking things further. * Lint * Add missing __init__.py * Disable pylint warnings for missing docstrings Not sure why this has suddenly started being checked, but we don't care right now. We will soon move this to a different repo and settle on a single linter. --- .../data_platform_catalogue/__init__.py | 0 .../client/datahub_client.py | 16 ++++----- .../client/graphql_helpers.py | 23 +++++++++++++ .../data_platform_catalogue/client/search.py | 33 +++++++++---------- .../data_platform_catalogue/search_types.py | 1 + lib/datahub-client/pyproject.toml | 1 - .../client/datahub/test_datahub_client.py | 2 +- .../tests/client/datahub/test_search.py | 18 ++++++++-- 8 files changed, 64 insertions(+), 30 deletions(-) create mode 100644 lib/datahub-client/data_platform_catalogue/__init__.py diff --git a/lib/datahub-client/data_platform_catalogue/__init__.py b/lib/datahub-client/data_platform_catalogue/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub_client.py index 3d41522f..c9450726 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub_client.py @@ -14,6 +14,7 @@ parse_columns, parse_created_and_modified, parse_domain, + parse_names, parse_owner, parse_properties, parse_relations, @@ -222,8 +223,8 @@ def get_table_details(self, urn) -> Table: domain = parse_domain(response) owner = parse_owner(response) tags = parse_tags(response) - name = properties.get("name", response.get("name")) created, modified = parse_created_and_modified(properties) + name, display_name, qualified_name = parse_names(response, properties) # A dataset can't have multiple parents, but if we did # start to use in that we'd need to change this @@ -235,9 +236,9 @@ def get_table_details(self, urn) -> Table: relations = {} return Table( urn=None, - display_name=properties.get("qualifiedName") or name, + display_name=display_name, name=name, - fully_qualified_name=properties.get("qualifiedName") or name, + fully_qualified_name=qualified_name, description=properties.get("description", ""), relationships=relations, domain=domain, @@ -264,16 +265,15 @@ def get_chart_details(self, urn) -> Chart: domain = parse_domain(response) owner = parse_owner(response) tags = parse_tags(response) + name, display_name, qualified_name = parse_names(response, properties) return Chart( urn=urn, external_url=properties.get("externalUrl", ""), description=properties.get("description", ""), - display_name=properties.get("displayName", properties.get("name")), - name=properties["name"], - fully_qualified_name=properties.get( - "qualifiedName", properties.get("name") - ), + name=name, + display_name=display_name, + fully_qualified_name=qualified_name, domain=domain, governance=Governance( data_owner=owner, diff --git a/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py index 11ee28fc..311b70f3 100644 --- a/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py @@ -106,6 +106,29 @@ def parse_properties( return properties, custom_properties +def parse_names( + entity: dict[str, Any], properties: dict[str, Any] +) -> Tuple[str, str, str]: + """ + Returns a tuple of 3 name values. + + The first value is the non-qualified version of the entity name, + and the second value is the human-friendly display name. + + Either of these can be used when showing the entity providing it is within + the context of its container. + + The third value is the fully qualified name (e.g. my_database.my_table), which + can be used to show the entity out of context. + """ + top_level_name = entity.get("name") + name = properties.get("name", top_level_name) + display_name = properties.get("displayName") or name + qualified_name = properties.get("qualifiedName") or top_level_name or name + + return name, display_name, qualified_name + + def parse_domain(entity: dict[str, Any]) -> DomainRef: domain = entity.get("domain") or {} inner_domain = domain.get("domain") or {} diff --git a/lib/datahub-client/data_platform_catalogue/client/search.py b/lib/datahub-client/data_platform_catalogue/client/search.py index a2488392..5521d134 100644 --- a/lib/datahub-client/data_platform_catalogue/client/search.py +++ b/lib/datahub-client/data_platform_catalogue/client/search.py @@ -3,19 +3,18 @@ from importlib.resources import files from typing import Any, Sequence -from data_platform_catalogue.client.exceptions import ( # pylint: disable=E0611 - CatalogueError, -) +from data_platform_catalogue.client.exceptions import CatalogueError from data_platform_catalogue.client.graphql_helpers import ( parse_created_and_modified, parse_domain, parse_last_modified, + parse_names, parse_owner, parse_properties, parse_relations, parse_tags, ) -from data_platform_catalogue.entities import RelationshipType # pylint: disable=E0611 +from data_platform_catalogue.entities import RelationshipType from data_platform_catalogue.search_types import ( FacetOption, MultiSelectFilter, @@ -244,7 +243,7 @@ def _parse_result( properties, custom_properties = parse_properties(entity) tags = parse_tags(entity) last_modified = parse_last_modified(entity) - name = entity.get("name") + name, display_name, qualified_name = parse_names(entity, properties) relations = parse_relations( RelationshipType.PARENT, entity.get("relationships", {}) @@ -265,18 +264,15 @@ def _parse_result( metadata.update(custom_properties.access_information.model_dump()) metadata.update(custom_properties.data_summary.model_dump()) - # TODO: the way we return name/display name/qualified name should be - # consistent with the upsert/get methods - fqn = properties.get("qualifiedName", name) - _, modified = parse_created_and_modified(properties) return SearchResult( urn=entity["urn"], result_type=result_type, matches=matches, - name=properties.get("name", name), - fully_qualified_name=fqn, + name=name, + display_name=display_name, + fully_qualified_name=qualified_name, description=properties.get("description", ""), metadata=metadata, tags=[tag_str.display_name for tag_str in tags], @@ -309,12 +305,15 @@ def _parse_facets(self, facets: list[dict[str, Any]]) -> SearchFacets: def _parse_glossary_term(self, entity) -> SearchResult: properties, _ = parse_properties(entity) metadata = {"parentNodes": entity["parentNodes"]["nodes"]} + name, display_name, qualified_name = parse_names(entity, properties) return SearchResult( urn=entity["urn"], result_type=ResultType.GLOSSARY_TERM, matches={}, - name=properties["name"], + name=name, + display_name=display_name, + fully_qualified_name=qualified_name, description=properties.get("description", ""), metadata=metadata, tags=[], @@ -351,10 +350,7 @@ def _parse_container(self, entity: dict[str, Any], matches) -> SearchResult: properties, custom_properties = parse_properties(entity) domain = parse_domain(entity) owner = parse_owner(entity) - - # TODO: the way we return name/display name/qualified name should be - # consistent with the upsert/get methods - fqn = properties.get("qualifiedName", properties["name"]) + name, display_name, qualified_name = parse_names(entity, properties) metadata = { "owner": owner.display_name, @@ -373,8 +369,9 @@ def _parse_container(self, entity: dict[str, Any], matches) -> SearchResult: urn=entity["urn"], result_type=ResultType.DATABASE, matches=matches, - name=properties["name"], - fully_qualified_name=fqn, + name=name, + fully_qualified_name=qualified_name, + display_name=display_name, description=properties.get("description", ""), metadata=metadata, tags=[tag.display_name for tag in tags], diff --git a/lib/datahub-client/data_platform_catalogue/search_types.py b/lib/datahub-client/data_platform_catalogue/search_types.py index d3c04137..19540d57 100644 --- a/lib/datahub-client/data_platform_catalogue/search_types.py +++ b/lib/datahub-client/data_platform_catalogue/search_types.py @@ -57,6 +57,7 @@ class SearchResult: urn: str result_type: ResultType name: str + display_name: str = "" fully_qualified_name: str = "" description: str = "" matches: dict[str, str] = field(default_factory=dict) diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index a2c9a4e2..d54a07c8 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -27,4 +27,3 @@ pydantic = "2" [tool.poetry.group.dev.dependencies] requests-mock = "^1.11.0" pytest = "^7.4.2" - diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 939afe12..9e97775c 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -308,7 +308,7 @@ def test_get_dataset( assert dataset == Table( urn=None, - display_name="Foo.Dataset", + display_name="Dataset", name="Dataset", fully_qualified_name="Foo.Dataset", description="Dataset", diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 8216084b..84bffb5e 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -113,6 +113,7 @@ def test_one_search_result(mock_graph, searcher): urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", + display_name="customers", fully_qualified_name="jaffle_shop.customers", description="", matches={}, @@ -199,6 +200,7 @@ def test_dataset_result(mock_graph, searcher): urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", + display_name="customers", fully_qualified_name="jaffle_shop.customers", description="", matches={}, @@ -291,6 +293,7 @@ def test_full_page(mock_graph, searcher): result_type=ResultType.TABLE, name="customers", fully_qualified_name="jaffle_shop.customers", + display_name="customers", description="", matches={}, metadata={ @@ -321,7 +324,8 @@ def test_full_page(mock_graph, searcher): urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers2,PROD)", result_type=ResultType.TABLE, name="customers2", - fully_qualified_name=None, + fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers2", + display_name="customers2", description="", matches={}, metadata={ @@ -351,6 +355,7 @@ def test_full_page(mock_graph, searcher): result_type=ResultType.TABLE, name="customers3", fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers3", + display_name="customers3", description="", matches={}, metadata={ @@ -425,6 +430,7 @@ def test_query_match(mock_graph, searcher): urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", + display_name="customers", fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="", matches={ @@ -504,6 +510,7 @@ def test_result_with_owner(mock_graph, searcher): urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,calm-pagoda-323403.jaffle_shop.customers,PROD)", result_type=ResultType.TABLE, name="customers", + display_name="customers", fully_qualified_name="calm-pagoda-323403.jaffle_shop.customers", description="", matches={}, @@ -794,6 +801,8 @@ def test_get_glossary_terms(mock_graph, searcher): SearchResult( urn="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", name="IAO", + display_name="IAO", + fully_qualified_name="IAO", description="Information asset owner.\n", metadata={ "parentNodes": [ @@ -810,6 +819,8 @@ def test_get_glossary_terms(mock_graph, searcher): SearchResult( urn="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", name="Security classification", + display_name="Security classification", + fully_qualified_name="Security classification", description="Only data that is 'official'", metadata={"parentNodes": []}, result_type=ResultType.GLOSSARY_TERM, @@ -866,7 +877,8 @@ def test_search_for_charts(mock_graph, searcher): urn="urn:li:chart:(justice-data,absconds)", result_type=ResultType.CHART, name="Absconds", - fully_qualified_name=None, + display_name="Absconds", + fully_qualified_name="Absconds", description="test", matches={ "urn": "urn:li:chart:(justice-data,absconds)", @@ -983,6 +995,7 @@ def test_search_for_container(mock_graph, searcher): urn="urn:li:container:test_db", result_type=ResultType.DATABASE, name="test_db", + display_name="test_db", fully_qualified_name="test_db", description="test", matches={ @@ -1068,6 +1081,7 @@ def test_list_database_tables(mock_graph, searcher): urn="urn:li:dataset:(urn:li:dataPlatform:athena,test_db.test_table,PROD)", result_type=ResultType.TABLE, name="test_table", + display_name="test_table", fully_qualified_name="test_db.test_table", description="just for test", matches={}, From a3b6de7c2937a24e9dfbb7a5c75ac680b9b372db Mon Sep 17 00:00:00 2001 From: Mat Date: Wed, 1 May 2024 15:05:49 +0100 Subject: [PATCH 50/64] Coerce descriptions and custom properties to string/empty string (#4256) * Coerce column description to string In some cases we column description is set to None, but we have defined it as a non-nullable string. For simplicity, we can treat None as empty string, as this is what we'll actually display in the frontend. Resolves https://github.com/ministryofjustice/find-moj-data/issues/296 * Simplify type of list field * Simplify types Custom properties values are always String in datahub, so using string throughout will make our lives easier. We can use empty string to indicate missing values here. See https://datahubproject.io/docs/graphql/objects/#custompropertiesentry dpia_required is a special case - it's still a string in datahub but we want it to be a boolean when we use it - since "False" is truthy in python. When setting custom properties, we take the string representation. This will serialize booleans to 'True' and 'False' which will fail pydantic's validation, so we need to explicitly convert this back to a boolean. https://docs.pydantic.dev/2.0/usage/types/booleans/ If dpia_required is unset, we should just pass empty string, rather than "None". --- .../client/datahub_client.py | 3 +- .../client/graphql_helpers.py | 10 +++- .../data_platform_catalogue/entities.py | 14 +++--- .../client/datahub/test_datahub_client.py | 29 ++++------- .../client/datahub/test_graphql_helpers.py | 35 ++++++++++++- .../tests/client/datahub/test_search.py | 49 +++++++++---------- .../tests/snapshots/test_upsert_table.json | 6 +-- .../test_upsert_table_and_database.json | 8 +-- 8 files changed, 88 insertions(+), 66 deletions(-) diff --git a/lib/datahub-client/data_platform_catalogue/client/datahub_client.py b/lib/datahub-client/data_platform_catalogue/client/datahub_client.py index c9450726..576da45f 100644 --- a/lib/datahub-client/data_platform_catalogue/client/datahub_client.py +++ b/lib/datahub-client/data_platform_catalogue/client/datahub_client.py @@ -512,8 +512,7 @@ def _get_custom_property_key_value_pairs( ) custom_properties_unnested = self._flatten_dict(custom_properties_dict) custom_properties_unnested_all_string_values = { - key: str(value) - # if value is not None else value + key: str(value) if value is not None else "" for key, value in custom_properties_unnested.items() } diff --git a/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py b/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py index 311b70f3..36b35397 100644 --- a/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py +++ b/lib/datahub-client/data_platform_catalogue/client/graphql_helpers.py @@ -90,8 +90,14 @@ def parse_properties( editable_properties = entity.get("editableProperties") or {} properties.update(editable_properties) custom_properties_dict = { - i["key"]: i["value"] for i in properties.get("customProperties", []) + i["key"]: i["value"] or "" for i in properties.get("customProperties", []) } + + if "dpia_required" in custom_properties_dict: + custom_properties_dict["dpia_required"] = ( + custom_properties_dict["dpia_required"] == "True" + ) + properties.pop("customProperties", None) access_information = AccessInformation.model_validate(custom_properties_dict) usage_restrictions = UsageRestrictions.model_validate(custom_properties_dict) @@ -200,7 +206,7 @@ def parse_columns(entity: dict[str, Any]) -> list[Column]: Column( name=field_path, display_name=display_name, - description=field["description"], + description=field.get("description") or "", type=field.get("nativeDataType", field["type"]), nullable=field["nullable"], is_primary_key=is_primary_key, diff --git a/lib/datahub-client/data_platform_catalogue/entities.py b/lib/datahub-client/data_platform_catalogue/entities.py index b94a2024..d7b4e880 100644 --- a/lib/datahub-client/data_platform_catalogue/entities.py +++ b/lib/datahub-client/data_platform_catalogue/entities.py @@ -51,8 +51,8 @@ class Column(BaseModel): is_primary_key: bool = Field( description="Whether the field is part of the primary key" ) - foreign_keys: list[ColumnRef] | None = Field( - description="References to columns in other tables" + foreign_keys: list[ColumnRef] = Field( + description="References to columns in other tables", default_factory=list ) @@ -114,12 +114,12 @@ class UsageRestrictions(BaseModel): Metadata about how entities may be used. """ - dpia_required: bool | str | None = Field( + dpia_required: bool | None = Field( description="Bool for if a data privacy impact assessment (DPIA) is required to access this database", default=None, ) - dpia_location: str | None = Field( - description="Where to find the DPIA document", default=None + dpia_location: str = Field( + description="Where to find the DPIA document", default="" ) @@ -136,9 +136,7 @@ class AccessInformation(BaseModel): source_dataset_name: str = Field( description="The name of a dataset this data was derived from", default="" ) - s3_location: str | None = Field( - description="Location of the data in s3", default=None - ) + s3_location: str = Field(description="Location of the data in s3", default="") class DataSummary(BaseModel): diff --git a/lib/datahub-client/tests/client/datahub/test_datahub_client.py b/lib/datahub-client/tests/client/datahub/test_datahub_client.py index 9e97775c..7158d8f0 100644 --- a/lib/datahub-client/tests/client/datahub/test_datahub_client.py +++ b/lib/datahub-client/tests/client/datahub/test_datahub_client.py @@ -64,7 +64,7 @@ def database(self): custom_properties=CustomEntityProperties( usage_restrictions=UsageRestrictions( dpia_required=False, - dpia_location=None, + dpia_location="", ), access_information=AccessInformation( where_to_access_dataset="analytical_platform", @@ -125,12 +125,12 @@ def table(self): platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), custom_properties=CustomEntityProperties( access_information=AccessInformation( - where_to_access_dataset="", source_dataset_name="", s3_location=None + where_to_access_dataset="", source_dataset_name="", s3_location="" ), data_summary=DataSummary(row_count=5), usage_restrictions=UsageRestrictions( dpia_required=True, - dpia_location=None, + dpia_location="", ), ), ) @@ -196,12 +196,12 @@ def table2(self): platform=EntityRef(urn="athena", display_name="athena"), custom_properties=CustomEntityProperties( access_information=AccessInformation( - where_to_access_dataset="", source_dataset_name="", s3_location=None + where_to_access_dataset="", source_dataset_name="", s3_location="" ), data_summary=DataSummary(row_count=5), usage_restrictions=UsageRestrictions( dpia_required=True, - dpia_location=None, + dpia_location="", ), ), ) @@ -326,17 +326,6 @@ def test_get_dataset( last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), created=None, platform=EntityRef(urn="datahub", display_name="datahub"), - custom_properties=CustomEntityProperties( - usage_restrictions=UsageRestrictions( - status=None, - dpia_required=None, - dpia_location=None, - ), - access_information=AccessInformation( - where_to_access_dataset="", source_dataset_name="", s3_location=None - ), - data_summary=DataSummary(), - ), column_details=[ Column( name="urn", @@ -405,10 +394,10 @@ def test_get_dataset_minimal_properties( usage_restrictions=UsageRestrictions( status=None, dpia_required=None, - dpia_location=None, + dpia_location="", ), access_information=AccessInformation( - where_to_access_dataset="", source_dataset_name="", s3_location=None + where_to_access_dataset="", source_dataset_name="", s3_location="" ), data_summary=DataSummary(), ), @@ -466,10 +455,10 @@ def test_get_chart_details(self, datahub_client, base_mock_graph): usage_restrictions=UsageRestrictions( status=None, dpia_required=None, - dpia_location=None, + dpia_location="", ), access_information=AccessInformation( - where_to_access_dataset="", source_dataset_name="", s3_location=None + where_to_access_dataset="", source_dataset_name="", s3_location="" ), data_summary=DataSummary(), ), diff --git a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py index 33276563..783406e0 100644 --- a/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py +++ b/lib/datahub-client/tests/client/datahub/test_graphql_helpers.py @@ -133,6 +133,37 @@ def test_parse_columns_with_no_keys(): ] +def test_parse_columns_with_null_descriptions(): + entity = { + "schemaMetadata": { + "fields": [ + { + "fieldPath": "urn", + "label": None, + "nullable": False, + "description": None, + "type": "STRING", + "nativeDataType": "string", + } + ], + "primaryKeys": [], + "foreignKeys": [], + } + } + + assert parse_columns(entity) == [ + Column( + name="urn", + display_name="urn", + type="string", + description="", + nullable=False, + is_primary_key=False, + foreign_keys=[], + ) + ] + + def test_parse_columns_with_no_schema(): entity = {} @@ -185,7 +216,7 @@ def test_parse_properties(): "properties": { "customProperties": [ {"key": "dpia_required", "value": False}, - {"key": "dpia_location", "value": None}, + {"key": "dpia_location", "value": ""}, {"key": "data_sensitivity_level", "value": "OFFICIAL"}, {"key": "where_to_access_dataset", "value": "analytical_platform"}, {"key": "source_dataset_name", "value": ""}, @@ -209,7 +240,7 @@ def test_parse_properties(): assert custom_properties == CustomEntityProperties( usage_restrictions=UsageRestrictions( dpia_required=False, - dpia_location=None, + dpia_location="", ), access_information=AccessInformation( where_to_access_dataset="analytical_platform", diff --git a/lib/datahub-client/tests/client/datahub/test_search.py b/lib/datahub-client/tests/client/datahub/test_search.py index 84bffb5e..fb518b07 100644 --- a/lib/datahub-client/tests/client/datahub/test_search.py +++ b/lib/datahub-client/tests/client/datahub/test_search.py @@ -129,10 +129,10 @@ def test_one_search_result(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -216,10 +216,10 @@ def test_dataset_result(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -308,10 +308,10 @@ def test_full_page(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -340,10 +340,10 @@ def test_full_page(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -370,10 +370,10 @@ def test_full_page(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -450,10 +450,10 @@ def test_query_match(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -526,10 +526,10 @@ def test_result_with_owner(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -897,10 +897,10 @@ def test_search_for_charts(mock_graph, searcher): "entity_sub_types": ["Dataset"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], @@ -1012,21 +1012,20 @@ def test_search_for_container(mock_graph, searcher): "entity_type": "Container", "entity_sub_types": ["Database"], }, - "dpia_required": "False", - "dpia_location": None, + "dpia_required": False, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", "usage_restrictions": UsageRestrictions( - status=None, - dpia_required="False", - dpia_location=None, + dpia_required=False, + dpia_location="", ), "access_information": AccessInformation( where_to_access_dataset="", source_dataset_name="", - s3_location=None, + s3_location="", ), "data_summary": DataSummary(), }, @@ -1097,10 +1096,10 @@ def test_list_database_tables(mock_graph, searcher): "entity_sub_types": ["Table"], }, "dpia_required": None, - "dpia_location": None, + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": None, + "s3_location": "", "row_count": "", }, tags=[], diff --git a/lib/datahub-client/tests/snapshots/test_upsert_table.json b/lib/datahub-client/tests/snapshots/test_upsert_table.json index da541768..729a212e 100644 --- a/lib/datahub-client/tests/snapshots/test_upsert_table.json +++ b/lib/datahub-client/tests/snapshots/test_upsert_table.json @@ -8,10 +8,10 @@ "json": { "customProperties": { "dpia_required": "True", - "dpia_location": "None", + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": "None", + "s3_location": "", "row_count": "5" }, "name": "Dataset", @@ -115,4 +115,4 @@ } } } -] \ No newline at end of file +] diff --git a/lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json b/lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json index 903e8004..ff6fdcca 100644 --- a/lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json +++ b/lib/datahub-client/tests/snapshots/test_upsert_table_and_database.json @@ -21,7 +21,7 @@ "json": { "customProperties": { "dpia_required": "False", - "dpia_location": "None", + "dpia_location": "", "where_to_access_dataset": "analytical_platform", "source_dataset_name": "", "s3_location": "s3://databucket/", @@ -65,10 +65,10 @@ "json": { "customProperties": { "dpia_required": "True", - "dpia_location": "None", + "dpia_location": "", "where_to_access_dataset": "", "source_dataset_name": "", - "s3_location": "None", + "s3_location": "", "row_count": "5" }, "name": "Dataset", @@ -172,4 +172,4 @@ } } } -] \ No newline at end of file +] From 5485ffa425372e86f605a97dc24e1cc4af7673ca Mon Sep 17 00:00:00 2001 From: Mat Moore Date: Thu, 2 May 2024 11:43:33 +0100 Subject: [PATCH 51/64] Configure pytest to test both projects --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index bce668c5..7ffe9a72 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -37,6 +37,7 @@ build-backend = "poetry.core.masonry.api" DJANGO_SETTINGS_MODULE = "core.settings" python_files = ["test_*.py", "*_test.py", "testing/python/*.py"] markers = ["slow: marks tests as slow (deselect with '-m \"not slow\"')"] +testpaths = ["tests", "lib/data_platform_catalogue/tests"] [tool.isort] profile = "black" From 9bad477a331e56d1c13d8380519b77999ae17bc7 Mon Sep 17 00:00:00 2001 From: Mat Moore Date: Wed, 1 May 2024 17:09:54 +0100 Subject: [PATCH 52/64] fix relative paths --- lib/datahub-client/tests/conftest.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/lib/datahub-client/tests/conftest.py b/lib/datahub-client/tests/conftest.py index 8878a6c5..a8c92c2e 100644 --- a/lib/datahub-client/tests/conftest.py +++ b/lib/datahub-client/tests/conftest.py @@ -3,6 +3,7 @@ import pytest from datahub.metadata.schema_classes import DomainPropertiesClass + from tests.test_helpers.graph_helpers import MockDataHubGraph from tests.test_helpers.mce_helpers import check_golden_file @@ -29,7 +30,8 @@ def base_mock_graph( @pytest.fixture def test_snapshots_dir(pytestconfig: pytest.Config) -> Path: - return pytestconfig.rootpath / "tests/snapshots" + rootpath = Path(__file__).parent + return rootpath / "snapshots" @pytest.fixture From 011bf5442a93699c05b7f5bd4948955cf1685daa Mon Sep 17 00:00:00 2001 From: Mat Moore Date: Thu, 2 May 2024 11:54:51 +0100 Subject: [PATCH 53/64] Fix post-merge incompatabilities between lib/datahub-client and the django app - Remove lib from gitignore - Update pydantic to latest version - Depend on relative path rather than pypi --- .gitignore | 1 - lib/datahub-client/poetry.lock | 197 ++- lib/datahub-client/pyproject.toml | 2 +- poetry.lock | 1865 +++++++---------------------- pyproject.toml | 4 +- 5 files changed, 503 insertions(+), 1566 deletions(-) diff --git a/.gitignore b/.gitignore index 48c5d70b..647dea36 100644 --- a/.gitignore +++ b/.gitignore @@ -14,7 +14,6 @@ dist/ downloads/ eggs/ .eggs/ -lib/ lib64/ parts/ sdist/ diff --git a/lib/datahub-client/poetry.lock b/lib/datahub-client/poetry.lock index dc0e795f..0b23519d 100644 --- a/lib/datahub-client/poetry.lock +++ b/lib/datahub-client/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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"virtualenv-20.26.1-py3-none-any.whl", hash = "sha256:7aa9982a728ae5892558bff6a2839c00b9ed145523ece2274fad6f414690ae75"}, + {file = "virtualenv-20.26.1.tar.gz", hash = "sha256:604bfdceaeece392802e6ae48e69cec49168b9c5f4a44e483963f9242eb0e78b"}, ] [package.dependencies] @@ -3541,23 +2525,9 @@ filelock = ">=3.12.2,<4" platformdirs = ">=3.9.1,<5" [package.extras] -docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] -[[package]] -name = "wheel" -version = "0.38.4" -description = "A built-package format for Python" -optional = false -python-versions = ">=3.7" -files = [ - {file = "wheel-0.38.4-py3-none-any.whl", hash = "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"}, - {file = "wheel-0.38.4.tar.gz", hash = "sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac"}, -] - -[package.extras] -test = ["pytest (>=3.0.0)"] - [[package]] name = "whitenoise" version = "6.6.0" @@ -3768,22 +2738,7 @@ files = [ idna = ">=2.0" multidict = ">=4.0" -[[package]] -name = "zipp" -version = "3.18.1" -description = "Backport of pathlib-compatible object wrapper for zip files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"}, - {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] - [metadata] lock-version = "2.0" python-versions = "^3.11" -content-hash = "002ce1725f0a0579216ac5c088ba971ea3a24106e2cedc78bd735c78908be49c" +content-hash = "9822ded7cc6b8c9077d5f01d0476c263e8a3832d6d4bb29a02108ce7c58487ea" diff --git a/pyproject.toml b/pyproject.toml index 7ffe9a72..254fdc14 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,16 +11,16 @@ django = "^5.0.1" pyyaml = "^6.0.1" gunicorn = "^21.2.0" whitenoise = "^6.6.0" -ministryofjustice-data-platform-catalogue = "^0.24.2" markdown = "^3.5.2" python-dotenv = "^1.0.1" markdown-headdown = "^0.1.3" nltk = "^3.8.1" +ministryofjustice-data-platform-catalogue = { path = "lib/datahub-client", develop = true } [tool.poetry.group.dev.dependencies] black = "^24.4.0" pre-commit = "^3.6.0" -selenium = "^4.17.2" +selenium = "~=4.17.0" flake8 = ">=6.1.0" pytest-django = "^4.8.0" pytest-cov = "^4.1.0" From 335ad0d6ad0676989fc9edf0d1896ffd504b0833 Mon Sep 17 00:00:00 2001 From: Murdo Moyse Date: Tue, 30 Apr 2024 16:51:55 +0100 Subject: [PATCH 54/64] Starting to fix from refactor --- .vscode/launch.json | 1 + .vscode/settings.json | 5 +++ home/service/base.py | 5 +-- home/service/details.py | 56 +--------------------------- home/service/search.py | 3 +- home/urls.py | 2 +- home/views.py | 35 +++++------------ templates/base/base.html | 2 +- templates/details_data_product.html | 6 +-- templates/details_database.html | 6 +-- templates/details_table.html | 10 ++--- templates/partial/search_result.html | 30 ++------------- tests/conftest.py | 14 +++---- tests/home/service/test_glossary.py | 6 +-- 14 files changed, 48 insertions(+), 133 deletions(-) create mode 100644 .vscode/settings.json diff --git a/.vscode/launch.json b/.vscode/launch.json index fbe6f6b8..9f959439 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -10,6 +10,7 @@ "request": "launch", "program": "${workspaceFolder}/manage.py", "args": ["runserver"], + "justMyCode": false, "django": true } ] diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 00000000..d969f962 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,5 @@ +{ + "python.testing.pytestArgs": ["tests"], + "python.testing.unittestEnabled": false, + "python.testing.pytestEnabled": true +} diff --git a/home/service/base.py b/home/service/base.py index 69945e65..7ead3f9c 100644 --- a/home/service/base.py +++ b/home/service/base.py @@ -1,11 +1,10 @@ -from data_platform_catalogue.client import BaseCatalogueClient -from data_platform_catalogue.client.datahub import DataHubCatalogueClient +from data_platform_catalogue.client.datahub_client import DataHubCatalogueClient from django.conf import settings class GenericService: @staticmethod - def _get_catalogue_client() -> BaseCatalogueClient: + def _get_catalogue_client() -> DataHubCatalogueClient: return DataHubCatalogueClient( jwt_token=settings.CATALOGUE_TOKEN, api_url=settings.CATALOGUE_URL ) diff --git a/home/service/details.py b/home/service/details.py index 135a26c7..5428da7c 100644 --- a/home/service/details.py +++ b/home/service/details.py @@ -5,54 +5,6 @@ from .base import GenericService -class DataProductDetailsService(GenericService): - def __init__(self, urn: str): - self.urn = urn - self.client = self._get_catalogue_client() - - filter_value = [MultiSelectFilter("urn", [urn])] - search_results = self.client.search(query="", page=None, filters=filter_value) - - if not search_results.page_results: - raise ObjectDoesNotExist(urn) - - self.result = search_results.page_results[0] - self.assets_in_data_product = self._get_data_product_entities() - self.context = self._get_context() - - def _get_data_product_entities(self): - # we might want to implement pagination for data product children - # details at some point - data_product_search = self.client.list_data_product_assets( - urn=self.urn, count=500 - ).page_results - - assets_in_data_product = [] - for result in data_product_search: - assets_in_data_product.append( - { - "name": result.name, - "urn": result.id, - "description": result.description, - "type": "TABLE", - } - ) - - assets_in_data_product = sorted(assets_in_data_product, key=lambda d: d["name"]) - - return assets_in_data_product - - def _get_context(self): - context = { - "result": self.result, - "result_type": "Data product", - "tables": self.assets_in_data_product, - "h1_value": "Details", - } - - return context - - class DatabaseDetailsService(GenericService): def __init__(self, urn: str): self.urn = urn @@ -80,7 +32,7 @@ def _get_database_entities(self): entities_in_database.append( { "name": result.name, - "urn": result.id, + "urn": result.urn, "description": result.description, "type": "TABLE", } @@ -122,11 +74,7 @@ def __init__(self, urn: str): # v0.12, assigning to multiple data products is not possible and we don't # have datasets with multiple parent containers. self.parent_entity = parents[0] - self.dataset_parent_type = ( - ResultType.DATABASE.name.lower() - if "container" in self.parent_entity.id.split(":") - else ResultType.DATA_PRODUCT.name.lower() - ) + self.dataset_parent_type = ResultType.DATABASE.name.lower() else: self.parent_entity = None self.dataset_parent_type = None diff --git a/home/service/search.py b/home/service/search.py index 12f16fde..54e8f95a 100644 --- a/home/service/search.py +++ b/home/service/search.py @@ -5,6 +5,7 @@ from data_platform_catalogue.search_types import ( MultiSelectFilter, ResultType, + SearchResponse, SortOption, ) from django.core.paginator import Paginator @@ -62,7 +63,7 @@ def _build_entity_types(_, entity_types: list[str]) -> tuple[ResultType]: ) return chosen_entities if chosen_entities else default_entities - def _get_search_results(self, page: str, items_per_page: int): + def _get_search_results(self, page: str, items_per_page: int) -> SearchResponse: if self.form.is_bound: form_data = self.form.cleaned_data else: diff --git a/home/urls.py b/home/urls.py index 06b85782..64f80151 100644 --- a/home/urls.py +++ b/home/urls.py @@ -9,7 +9,7 @@ path("search", views.search_view, name="search"), path("glossary", views.glossary_view, name="glossary"), path( - "details//", + "details//", views.details_view, name="details", ), diff --git a/home/views.py b/home/views.py index 7735251b..ae285e31 100644 --- a/home/views.py +++ b/home/views.py @@ -6,7 +6,6 @@ from home.service.details import ( ChartDetailsService, DatabaseDetailsService, - DataProductDetailsService, DatasetDetailsService, ) from home.service.glossary import GlossaryService @@ -19,24 +18,21 @@ def home_view(request): return render(request, "home.html", context) -def details_view(request, result_type, id): - if result_type == "data_product": - context = data_product_details(id) - return render(request, "details_data_product.html", context) +def details_view(request, result_type, urn): if result_type == "table": - context = dataset_details(id) + context = dataset_details(urn) return render(request, "details_table.html", context) if result_type == "database": - context = database_details(id) + context = database_details(urn) return render(request, "details_database.html", context) if result_type == "chart": - context = chart_details(id) + context = chart_details(urn) return render(request, "details_chart.html", context) -def data_product_details(id): +def database_details(urn): try: - service = DataProductDetailsService(id) + service = DatabaseDetailsService(urn) except ObjectDoesNotExist: raise Http404("Asset does not exist") @@ -45,9 +41,9 @@ def data_product_details(id): return context -def database_details(id): +def dataset_details(urn): try: - service = DatabaseDetailsService(id) + service = DatasetDetailsService(urn) except ObjectDoesNotExist: raise Http404("Asset does not exist") @@ -56,20 +52,9 @@ def database_details(id): return context -def dataset_details(id): +def chart_details(urn): try: - service = DatasetDetailsService(id) - except ObjectDoesNotExist: - raise Http404("Asset does not exist") - - context = service.context - - return context - - -def chart_details(id): - try: - service = ChartDetailsService(id) + service = ChartDetailsService(urn) except ObjectDoesNotExist: raise Http404("Asset does not exist") diff --git a/templates/base/base.html b/templates/base/base.html index dedfd337..aba4f625 100644 --- a/templates/base/base.html +++ b/templates/base/base.html @@ -11,7 +11,7 @@ {% block skiplinks %} Skip to main content {% endblock %} - + {% include "base/navigation.html" %}

diff --git a/templates/details_data_product.html b/templates/details_data_product.html index ae0ef3c8..de2d92d8 100644 --- a/templates/details_data_product.html +++ b/templates/details_data_product.html @@ -35,8 +35,8 @@

  • Last updated date: - {% if result.last_updated %} - {{result.last_updated | date:"jS F Y"}} ({{result.last_updated|naturaltime}}) + {% if result.last_modified %} + {{result.last_modified | date:"jS F Y"}} ({{result.last_modified|naturaltime}}) {% endif %}
    • @@ -93,7 +93,7 @@

    {{ table.description|markdown:3 }} {% endif %} - Table details + Table details {% endwith %} {% endfor %} diff --git a/templates/details_database.html b/templates/details_database.html index 3b057df8..34ac1199 100644 --- a/templates/details_database.html +++ b/templates/details_database.html @@ -35,8 +35,8 @@

    • Last updated date: - {% if result.last_updated %} - {{result.last_updated | date:"jS F Y"}} ({{result.last_updated|naturaltime}}) + {% if result.last_modified %} + {{result.last_modified | date:"jS F Y"}} ({{result.last_modified|naturaltime}}) {% endif %}
      • @@ -93,7 +93,7 @@

      {{ table.description|markdown:3 }} {% endif %} - Table details + Table details {% endwith %} {% endfor %} diff --git a/templates/details_table.html b/templates/details_table.html index f83a3242..2b180602 100644 --- a/templates/details_table.html +++ b/templates/details_table.html @@ -11,7 +11,7 @@ {% if parent_entity %}
    • - {{parent_entity.name}} + {{parent_entity.name}}
      • {% endif %}
    • @@ -42,8 +42,8 @@

      • Last updated date: - {% if table.last_updated %} - {{table.last_updated | date:"jS F Y"}} ({{table.last_updated|naturaltime}}) + {% if table.last_modified %} + {{table.last_modified | date:"jS F Y"}} ({{table.last_modified|naturaltime}}) {% endif %}
      • @@ -59,7 +59,7 @@

      • Domain: - {{table.domain}} + {{table.domain.display_name}}
      • Tags: @@ -69,7 +69,7 @@

- {% include "partial/contact_info.html" with data_owner=table.owner data_owner_email=table.owner_email %} + {% include "partial/contact_info.html" with data_owner=table..governance.data_owner.display_name data_owner_email=table..governance.data_owner.email %}
diff --git a/templates/partial/search_result.html b/templates/partial/search_result.html index a2da703e..27a46ea3 100644 --- a/templates/partial/search_result.html +++ b/templates/partial/search_result.html @@ -6,13 +6,9 @@

{% with result_type=result.result_type.name|lower %} - {{result.fully_qualified_name}} + {{result.fully_qualified_name}} {% endwith %} - {% if result.result_type.name == "DATA_PRODUCT" %} - - Data product - - {% elif result.result_type.name == "TABLE" %} + {% if result.result_type.name == "TABLE" %} Table @@ -38,43 +34,23 @@

{{result.metadata.maintainer_display_name}}

-
-
First created:
-
- {% if result.metadata.creation_date %} - {{result.metadata.creation_date | date:"jS F Y"}} ({{result.metadata.creation_date|naturaltime}}) - {% endif %} -
-
Refresh period:
TBC
-
-
Retention period:
-
- {{result.metadata.retention_period_in_days}} -
-
Domain name
{{result.metadata.domain_name}}
-
-
Tags
-
- {{ result.tags |join:", " }} -
-
{% if result.matches %}
Matched fields
- {{ result.matches|lookup:readable_match_reasons|join:", " }} + {{ result.matches|join:", " }}
{% endif %} diff --git a/tests/conftest.py b/tests/conftest.py index dd231345..f8b9d444 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -4,7 +4,7 @@ import pytest from data_platform_catalogue.client import BaseCatalogueClient -from data_platform_catalogue.entities import RelationshipType, TableMetadata +from data_platform_catalogue.entities import RelationshipType, Table from data_platform_catalogue.search_types import ( FacetOption, ResultType, @@ -66,22 +66,22 @@ def generate_table_metadata( relations=None, domain_name=None, tags=None, - last_updated=None, + last_modified=None, owner=None, owner_email=None, -) -> TableMetadata: +) -> Table: """ Generate a fake table metadata object """ - return TableMetadata( + return Table( + urn="urn:li:table:fake", name=name or fake.unique.name(), description=description or fake.paragraph(), column_details=columns_details or [], - retention_period_in_days=retention_period_in_days or 123, relationships=relations or {RelationshipType.PARENT: []}, domain=domain_name, tags=tags, - last_updated=last_updated, + last_modified=last_modified, owner=owner, owner_email=owner_email, ) @@ -155,7 +155,7 @@ def mock_list_database_tables_response(mock_catalogue, total_results, page_resul def mock_get_table_details_response(mock_catalogue): - mock_catalogue.get_table_details.return_value = TableMetadata( + mock_catalogue.get_table_details.return_value = Table( name="abc", description="abc", retention_period_in_days=0, diff --git a/tests/home/service/test_glossary.py b/tests/home/service/test_glossary.py index bd272b25..3df21e6b 100644 --- a/tests/home/service/test_glossary.py +++ b/tests/home/service/test_glossary.py @@ -29,7 +29,7 @@ def test_get_context(self): ] }, tags=[], - last_updated=None, + last_modified=None, ), SearchResult( id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", @@ -48,7 +48,7 @@ def test_get_context(self): ] }, tags=[], - last_updated=None, + last_modified=None, ), ], "description": "Data protection terms", @@ -64,7 +64,7 @@ def test_get_context(self): matches={}, metadata={"parentNodes": []}, tags=[], - last_updated=None, + last_modified=None, ) ], "description": "", From 851c5b4ef7d43c9c39772dceb8f407df066366ed Mon Sep 17 00:00:00 2001 From: Murdo Moyse Date: Wed, 1 May 2024 15:41:45 +0100 Subject: [PATCH 55/64] Fixing/deleting tests --- home/service/details.py | 2 +- tests/conftest.py | 164 +++++++++++++----------- tests/home/service/test_details.py | 63 ++++----- tests/home/service/test_glossary.py | 6 +- tests/selenium/test_search_scenarios.py | 21 +-- tests/test_views.py | 29 +---- 6 files changed, 120 insertions(+), 165 deletions(-) diff --git a/home/service/details.py b/home/service/details.py index 5428da7c..4525b792 100644 --- a/home/service/details.py +++ b/home/service/details.py @@ -21,7 +21,7 @@ def __init__(self, urn: str): self.context = self._get_context() def _get_database_entities(self): - # we might want to implement pagination for data product children + # we might want to implement pagination for database children # details at some point database_search = self.client.list_database_tables( urn=self.urn, count=500 diff --git a/tests/conftest.py b/tests/conftest.py index f8b9d444..86a03e8a 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,10 +1,11 @@ +from datetime import datetime, timezone from random import choice from typing import Any from unittest.mock import MagicMock, patch import pytest -from data_platform_catalogue.client import BaseCatalogueClient -from data_platform_catalogue.entities import RelationshipType, Table +from data_platform_catalogue.client.datahub_client import DataHubCatalogueClient +from data_platform_catalogue.entities import RelationshipType, Table, DomainRef, Governance, OwnerRef, TagRef, Column, ColumnRef, UsageRestrictions, EntityRef, CustomEntityProperties, DataSummary, AccessInformation from data_platform_catalogue.search_types import ( FacetOption, ResultType, @@ -20,7 +21,7 @@ from faker import Faker from home.forms.search import SearchForm -from home.service.details import DatabaseDetailsService, DataProductDetailsService +from home.service.details import DatabaseDetailsService from home.service.glossary import GlossaryService from home.service.search import SearchService @@ -37,7 +38,7 @@ def chromedriver_path(request): def generate_search_result( - result_type: ResultType | None = None, id=None, metadata=None + result_type: ResultType | None = None, urn=None, metadata=None ) -> SearchResult: """ Generate a random search result @@ -45,9 +46,9 @@ def generate_search_result( name = fake.name() return SearchResult( - id=id or fake.unique.name(), + urn=urn or fake.unique.name(), result_type=( - choice((ResultType.DATA_PRODUCT, ResultType.TABLE)) + choice((ResultType.DATABASE, ResultType.TABLE)) if result_type is None else result_type ), @@ -61,30 +62,55 @@ def generate_search_result( def generate_table_metadata( name=None, description=None, - columns_details=None, - retention_period_in_days=None, relations=None, - domain_name=None, - tags=None, - last_modified=None, - owner=None, - owner_email=None, ) -> Table: """ Generate a fake table metadata object """ return Table( - urn="urn:li:table:fake", - name=name or fake.unique.name(), - description=description or fake.paragraph(), - column_details=columns_details or [], - relationships=relations or {RelationshipType.PARENT: []}, - domain=domain_name, - tags=tags, - last_modified=last_modified, - owner=owner, - owner_email=owner_email, - ) + urn="urn:li:table:fake", + display_name="Foo.Dataset", + name=name or fake.unique.name(), + fully_qualified_name="Foo.Dataset", + description=description or fake.paragraph(), + relationships=relations or {RelationshipType.PARENT: []}, + domain=DomainRef(display_name="LAA", urn="LAA"), + governance=Governance( + data_owner=OwnerRef( + display_name="", email="Contact email for the user", urn="" + ), + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + tags=[TagRef(display_name="some-tag", urn="urn:li:tag:Entity")], + last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + created=None, + column_details=[ + Column( + name="urn", + display_name="urn", + type="string", + description="The primary identifier for the dataset entity.", + nullable=False, + is_primary_key=True, + foreign_keys=[ + ColumnRef( + name="urn", + display_name="urn", + table=EntityRef( + urn="urn:li:dataset:(urn:li:dataPlatform:datahub,Dataset,PROD)", + display_name="Dataset", + ), + ) + ], + ), + ], + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + custom_properties=CustomEntityProperties(), + ) def generate_page(page_size=20, result_type: ResultType | None = None): @@ -123,18 +149,13 @@ def client(): def mock_catalogue(): patcher = patch("home.service.base.GenericService._get_catalogue_client") mock_fn = patcher.start() - mock_catalogue = MagicMock(spec=BaseCatalogueClient) + mock_catalogue = MagicMock(spec=DataHubCatalogueClient) mock_fn.return_value = mock_catalogue mock_search_response( mock_catalogue, page_results=generate_page(), total_results=100 ) mock_search_facets_response(mock_catalogue, domains=generate_options()) mock_get_glossary_terms_response(mock_catalogue) - mock_list_data_product_response( - mock_catalogue, - page_results=generate_page(page_size=1, result_type=ResultType.TABLE), - total_results=1, - ) mock_list_database_tables_response( mock_catalogue, page_results=generate_page(page_size=1, result_type=ResultType.TABLE), @@ -156,17 +177,39 @@ def mock_list_database_tables_response(mock_catalogue, total_results, page_resul def mock_get_table_details_response(mock_catalogue): mock_catalogue.get_table_details.return_value = Table( - name="abc", - description="abc", - retention_period_in_days=0, - column_details=[ - { - "name": "foo", - "description": "description **with markdown**", - "type": "string", - } - ], - ) + urn="urn:li:table:fake", + display_name="abc", + name="abc", + fully_qualified_name="abc", + description="abc", + relationships={}, + domain=DomainRef(display_name="LAA", urn="LAA"), + governance=Governance( + data_owner=OwnerRef( + display_name="", email="Contact email for the user", urn="" + ), + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + tags=[TagRef(display_name="some-tag", urn="urn:li:tag:Entity")], + last_modified=datetime(2024, 3, 5, 6, 16, 47, 814000, tzinfo=timezone.utc), + created=None, + column_details=[ + Column( + name="foo", + display_name="foo", + type="string", + description="description **with markdown**", + nullable=False, + is_primary_key=True, + foreign_keys=None + ), + ], + platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), + ) def mock_search_response(mock_catalogue, total_results=0, page_results=()): @@ -180,31 +223,12 @@ def mock_search_facets_response(mock_catalogue, domains): mock_catalogue.search_facets.return_value = SearchFacets({"domains": domains}) -def mock_list_data_product_response(mock_catalogue, total_results, page_results=()): - search_response = SearchResponse( - total_results=total_results, page_results=page_results - ) - mock_catalogue.list_data_product_assets.return_value = search_response - - -def mock_get_dataproduct_aspect(mock_catalogue): - data_product_association = DataProductAssociationClass( - destinationUrn="urn:li:dataset:(urn:li:dataPlatform:glue,test.test,PROD)", - sourceUrn="urn:li:dataProduct:test", - ) - - response = DataProductPropertiesClass( - name="test", assets=[data_product_association], description="test" - ) - mock_catalogue.graph.get_aspect.return_value = response - - def mock_get_glossary_terms_response(mock_catalogue): mock_catalogue.get_glossary_terms.return_value = SearchResponse( total_results=3, page_results=[ SearchResult( - id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + urn="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", name="IAO", description="Information asset owner.\n", metadata={ @@ -220,7 +244,7 @@ def mock_get_glossary_terms_response(mock_catalogue): result_type="GLOSSARY_TERM", ), SearchResult( - id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + urn="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", name="Other term", description="Term description to test groupings work", metadata={ @@ -236,7 +260,7 @@ def mock_get_glossary_terms_response(mock_catalogue): result_type="GLOSSARY_TERM", ), SearchResult( - id="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", + urn="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", name="Security classification", description="Only data that is 'official'", metadata={"parentNodes": []}, @@ -274,18 +298,6 @@ def search_context(search_service): return search_service.context -@pytest.fixture -def detail_dataproduct_context(mock_catalogue): - mock_catalogue.search.return_value = SearchResponse( - total_results=1, - page_results=generate_page(page_size=1, result_type=ResultType.DATA_PRODUCT), - ) - - details_service = DataProductDetailsService(urn="urn:li:dataProduct:test") - context = details_service._get_context() - return context - - @pytest.fixture def detail_database_context(mock_catalogue): mock_catalogue.search.return_value = SearchResponse( @@ -313,7 +325,7 @@ def dataset_with_parent(mock_catalogue) -> dict[str, Any]: page_results=[ generate_search_result( result_type=ResultType.TABLE, - id="dataset-abc", + urn="dataset-abc", metadata={"data_products": [data_product]}, ) ], diff --git a/tests/home/service/test_details.py b/tests/home/service/test_details.py index aeb78e73..463b58eb 100644 --- a/tests/home/service/test_details.py +++ b/tests/home/service/test_details.py @@ -1,7 +1,10 @@ from data_platform_catalogue.entities import ( - ChartMetadata, - RelatedEntity, + Chart, + EntityRef, RelationshipType, + Governance, + DomainRef, + OwnerRef, ) from data_platform_catalogue.search_types import ResultType @@ -9,36 +12,6 @@ from tests.conftest import generate_table_metadata -class TestDetailsDataProductService: - def test_get_context_data_product(self, detail_dataproduct_context, mock_catalogue): - assert ( - detail_dataproduct_context["result"] - == mock_catalogue.search().page_results[0] - ) - result_type = ( - "Data product" - if mock_catalogue.search().page_results[0].result_type - == ResultType.DATA_PRODUCT - else "Table" - ) - assert detail_dataproduct_context["result_type"] == result_type - assert detail_dataproduct_context["h1_value"] == "Details" - - def test_get_context_data_product_tables( - self, detail_dataproduct_context, mock_catalogue - ): - name = mock_catalogue.list_data_product_assets().page_results[0].name - mock_table = { - "name": name, - "urn": mock_catalogue.list_data_product_assets().page_results[0].id, - "description": mock_catalogue.list_data_product_assets() - .page_results[0] - .description, - "type": "TABLE", - } - assert detail_dataproduct_context["tables"][0] == mock_table - - class TestDetailsDatasetService: def test_get_context_contains_table_metadata(self, dataset_with_parent): service = DatasetDetailsService(dataset_with_parent["urn"]) @@ -48,7 +21,7 @@ def test_get_context_contains_table_metadata(self, dataset_with_parent): def test_get_context_contains_parent(self, mock_catalogue): parent = { RelationshipType.PARENT: [ - RelatedEntity(id="urn:li:container:parent", name="parent") + EntityRef(urn="urn:li:container:parent", display_name="parent") ], } mock_table = generate_table_metadata(relations=parent) @@ -56,8 +29,8 @@ def test_get_context_contains_parent(self, mock_catalogue): service = DatasetDetailsService("urn:li:datsset:test") context = service.context - assert context["parent_entity"] == RelatedEntity( - id="urn:li:container:parent", name="parent" + assert context["parent_entity"] == EntityRef( + urn="urn:li:container:parent", display_name="parent" ) @@ -79,7 +52,7 @@ def test_get_context_database_tables(self, detail_database_context, mock_catalog name = mock_catalogue.list_database_tables().page_results[0].name mock_table = { "name": name, - "urn": mock_catalogue.list_database_tables().page_results[0].id, + "urn": mock_catalogue.list_database_tables().page_results[0].urn, "description": mock_catalogue.list_database_tables() .page_results[0] .description, @@ -90,8 +63,22 @@ def test_get_context_database_tables(self, detail_database_context, mock_catalog class TestDetailsChartService: def test_get_context(self, mock_catalogue): - chart_metadata = ChartMetadata( - name="test", description="test", external_url="https://www.test.com" + chart_metadata = Chart( + name="test", + description="test", + external_url="https://www.test.com", + domain=DomainRef(urn="LAA", display_name="LAA"), + governance=Governance( + data_owner=OwnerRef( + display_name="", email="Contact email for the user", urn="" + ), + data_stewards=[ + OwnerRef( + display_name="", email="Contact email for the user", urn="" + ) + ], + ), + platform=EntityRef(urn="", display_name="") ) mock_catalogue.get_chart_details.return_value = chart_metadata diff --git a/tests/home/service/test_glossary.py b/tests/home/service/test_glossary.py index 3df21e6b..bd31a55c 100644 --- a/tests/home/service/test_glossary.py +++ b/tests/home/service/test_glossary.py @@ -13,7 +13,7 @@ def test_get_context(self): "name": "Data protection terms", "members": [ SearchResult( - id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + urn="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", result_type="GLOSSARY_TERM", name="IAO", description="Information asset owner.\n", @@ -32,7 +32,7 @@ def test_get_context(self): last_modified=None, ), SearchResult( - id="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", + urn="urn:li:glossaryTerm:022b9b68-c211-47ae-aef0-2db13acfeca8", result_type="GLOSSARY_TERM", name="Other term", description="Term description to test groupings work", @@ -57,7 +57,7 @@ def test_get_context(self): "name": "Unsorted", "members": [ SearchResult( - id="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", + urn="urn:li:glossaryTerm:0eb7af28-62b4-4149-a6fa-72a8f1fea1e6", result_type="GLOSSARY_TERM", name="Security classification", description="Only data that is 'official'", diff --git a/tests/selenium/test_search_scenarios.py b/tests/selenium/test_search_scenarios.py index abc64d11..f7f221cf 100644 --- a/tests/selenium/test_search_scenarios.py +++ b/tests/selenium/test_search_scenarios.py @@ -43,25 +43,6 @@ def verify_glossary_link_from_homepage_works(self): self.click_on_the_glossary_link() self.verify_i_am_on_the_glossary_page() - def test_browse_to_first_item_data_product(self, mock_catalogue): - """ - Browses from the home page -> search -> details page - """ - # we need to mock search response to be data products - mock_search_response( - mock_catalogue=mock_catalogue, - page_results=generate_page(result_type=ResultType.DATA_PRODUCT), - total_results=100, - ) - - self.start_on_the_home_page() - self.click_on_the_search_link() - - self.verify_i_am_on_the_search_page() - self.verify_i_have_results() - item_name = self.click_on_the_first_result() - self.verify_i_am_on_the_details_page(item_name) - def test_search_with_query(self): """ Types a search query and press enter @@ -211,7 +192,7 @@ def test_search_to_details(self, mock_catalogue): """ mock_search_response( mock_catalogue=mock_catalogue, - page_results=generate_page(result_type=ResultType.DATA_PRODUCT), + page_results=generate_page(result_type=ResultType.DATABASE), total_results=100, ) self.start_on_the_search_page() diff --git a/tests/test_views.py b/tests/test_views.py index b8e34e0d..cc9cd82d 100644 --- a/tests/test_views.py +++ b/tests/test_views.py @@ -31,35 +31,10 @@ def test_bad_form(self, client): assert response.status_code == 400 -class TestDetailsView: - def test_details_data_product(self, client): - response = client.get( - reverse( - "home:details", - kwargs={ - "id": "urn:li:dataProduct:common-platform", - "result_type": "data_product", - }, - ) - ) - assert response.status_code == 200 - - def test_details_data_product_not_found(self, client, mock_catalogue): - mock_catalogue.search.return_value = SearchResponse( - total_results=0, page_results=[] - ) - response = client.get( - reverse( - "home:details", kwargs={"id": "fake", "result_type": "data_product"} - ) - ) - assert response.status_code == 404 - - class TestTableView: def test_table(self, client): response = client.get( - reverse("home:details", kwargs={"id": "fake", "result_type": "table"}) + reverse("home:details", kwargs={"urn": "fake", "result_type": "table"}) ) assert response.status_code == 200 @@ -67,7 +42,7 @@ def test_table(self, client): class TestChartView: def test_chart(self, client): response = client.get( - reverse("home:details", kwargs={"id": "fake", "result_type": "chart"}) + reverse("home:details", kwargs={"urn": "fake", "result_type": "chart"}) ) assert response.status_code == 200 From e363a258635d3c56cd8aa7a6c3aa76e3fbe3dbad Mon Sep 17 00:00:00 2001 From: Murdo Moyse Date: Wed, 1 May 2024 17:08:08 +0100 Subject: [PATCH 56/64] Foreign keys should be an empty list --- tests/conftest.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 86a03e8a..c4e69ce7 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -13,10 +13,6 @@ SearchResponse, SearchResult, ) -from datahub.metadata.schema_classes import ( - DataProductAssociationClass, - DataProductPropertiesClass, -) from django.test import Client from faker import Faker @@ -205,7 +201,7 @@ def mock_get_table_details_response(mock_catalogue): description="description **with markdown**", nullable=False, is_primary_key=True, - foreign_keys=None + foreign_keys=[] ), ], platform=EntityRef(urn="urn:li:dataPlatform:athena", display_name="athena"), From 484fa29ee2bcb5faa20be51ebd3775579857438a Mon Sep 17 00:00:00 2001 From: Mat Moore Date: Thu, 2 May 2024 14:47:59 +0100 Subject: [PATCH 57/64] Ensure the library is available to the builder The library was not being installed properly because it wasn't copied into the builder image. This results in an import error for data_platform_catalogue. Also, change the working dir for the runtime image - previously it was sticking everything in the root directory which might cause issues. --- Dockerfile | 3 +++ 1 file changed, 3 insertions(+) diff --git a/Dockerfile b/Dockerfile index 65c03dc4..6802994d 100644 --- a/Dockerfile +++ b/Dockerfile @@ -24,6 +24,7 @@ ENV POETRY_NO_INTERACTION=1 \ POETRY_CACHE_DIR=/tmp/poetry_cache COPY pyproject.toml poetry.lock ./ +COPY lib ./lib RUN poetry install --without dev --no-root && rm -rf $POETRY_CACHE_DIR RUN poetry run python -m nltk.downloader punkt @@ -31,6 +32,8 @@ RUN poetry run python -m nltk.downloader punkt # The runtime image, used to just run the code provided its virtual environment FROM python:3.11-slim-buster as runtime +WORKDIR /app + ENV VIRTUAL_ENV=/app/.venv \ PATH="/app/.venv/bin:$PATH" From 0cf31207a7b18b0c34d44c63432cebcdfab87888 Mon Sep 17 00:00:00 2001 From: Mat Moore Date: Thu, 2 May 2024 16:37:27 +0100 Subject: [PATCH 58/64] Clean up README --- lib/datahub-client/README.md | 123 ++-------------- .../data_platform_catalogue/client/README.md | 133 ------------------ lib/datahub-client/pyproject.toml | 2 +- 3 files changed, 11 insertions(+), 247 deletions(-) delete mode 100644 lib/datahub-client/data_platform_catalogue/client/README.md diff --git a/lib/datahub-client/README.md b/lib/datahub-client/README.md index a06df70e..6fc254d0 100644 --- a/lib/datahub-client/README.md +++ b/lib/datahub-client/README.md @@ -1,12 +1,8 @@ -# Data platform catalogue +# Datahub client for Find MOJ Data -This library is part of the Ministry of Justice data platform. +This library is part of the Ministry of Justice "Find MOJ Data" service. -It publishes object metadata to a data catalogue, so that the -metadata can be made discoverable by consumers. - -Broadly speaking, a catalogue stores a _metadata graph_, consisting of -_data assets_. Data assets could be **tables**, **schemas** or **databases**. +It pushes metadata to (and retrieves metadata from) a Datahub catalogue. ## How to install @@ -16,118 +12,19 @@ To install the package using `pip`, run: pip install ministryofjustice-data-platform-catalogue ``` -## Terminology - -- **Data assets** - Any databases, tables, or schemas within the metadata graph -- **Domains** - allow metadata to be grouped into different service areas that have - their own governance, like HMCTS, HMPPS, OPG, etc. - -## Example usage +## Getting started ```python from data_platform_catalogue import ( DataHubCatalogueClient, - BaseCatalogueClient, DataLocation, CatalogueMetadata, - DataProductMetadata, TableMetadata, - CatalogueError + Table ) -client: BaseCatalogueClient = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - -data_product = DataProductMetadata( - name = "my_data_product", - description = "bla bla", - version = "v1.0.0", - owner = "7804c127-d677-4900-82f9-83517e51bb94", - email = "justice@justice.gov.uk", - retention_period_in_days = 365, - domain = "LAA", - subdomain = "Legal Aid", - dpia_required = False -) - -table = TableMetadata( - name = "my_table", - description = "bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days = 365, - major_version = 1 -) - -try: - table_fqn = client.upsert_table( - metadata=table, - data_product_metadata=data_product, - location=DataLocation("test_data_product_v1"), - ) -except CatalogueError: - print("oh no") -``` - -## Search example - -```python -response = client.search() - -# Total results across all pages -print(response.total_results) +client = DataHubCatalogueClient(jwt_token='datahub-personal-token', api_url='https://your-datahub-instance') -# Iterate over search results -for item in response.page_results: - print(item) +# Search +client.search() -# Iterate over facet options -for option in response.facets.options('domains'): - print(option.label) - print(option.value) - print(option.count) - -# Include a filter and sort -client.search( - filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])], - sort=SortOption(field="name", ascending=False) -) +# Ingest a table +client.upsert_table(Table(name="Some table", description="A special table I want to share") ``` - -## Search filters - -### Datahub - -Basic filters: - -- urn -- customProperties -- browsePaths / browsePathsV2 -- deprecated (boolean) -- removed (boolean) -- typeNames -- name, qualifiedName -- description, hasDescription - -Timestamps: - -- lastOperationTime (datetime) -- createdAt (timestamp) -- lastModifiedAt (timestamp) - -URNs: - -- platform / platformInstance -- tags, hasTags -- glossaryTerms, hasGlossaryTerms -- domains, hasDomain -- siblings -- owners, hasOwners -- roles, hasRoles -- container - -## Catalogue Implementations - -### DataHub - -- Each table is created as a dataset in DataHub -- Tables that reside in the same athena database (data_product_v1) should - be placed within the same DataHub container. diff --git a/lib/datahub-client/data_platform_catalogue/client/README.md b/lib/datahub-client/data_platform_catalogue/client/README.md deleted file mode 100644 index 8a3d715c..00000000 --- a/lib/datahub-client/data_platform_catalogue/client/README.md +++ /dev/null @@ -1,133 +0,0 @@ -# Data platform catalogue - -This library is part of the Ministry of Justice data platform. - -It publishes object metadata to a data catalogue, so that the -metadata can be made discoverable by consumers. - -Broadly speaking, a catalogue stores a _metadata graph_, consisting of -_data assets_. Data assets could be **tables**, **schemas** or **databases**. - -## How to install - -To install the package using `pip`, run: - -```shell -pip install ministryofjustice-data-platform-catalogue -``` - -## Terminology - -- **Data assets** - Any databases, tables, or schemas within the metadata graph -- **Domains** - allow metadata to be grouped into different service areas that have - their own governance, like HMCTS, HMPPS, OPG, etc. - -## Example usage - -```python -from data_platform_catalogue import ( - DataHubCatalogueClient, - BaseCatalogueClient, DataLocation, CatalogueMetadata, - DataProductMetadata, TableMetadata, - CatalogueError -) - -client: BaseCatalogueClient = DataHubCatalogueClient(jwt_token=jwt_token, api_url=api_url) - -data_product = DataProductMetadata( - name = "my_data_product", - description = "bla bla", - version = "v1.0.0", - owner = "7804c127-d677-4900-82f9-83517e51bb94", - email = "justice@justice.gov.uk", - retention_period_in_days = 365, - domain = "LAA", - subdomain = "Legal Aid", - dpia_required = False -) - -table = TableMetadata( - name = "my_table", - description = "bla bla", - column_details=[ - {"name": "foo", "type": "string", "description": "a"}, - {"name": "bar", "type": "int", "description": "b"}, - ], - retention_period_in_days = 365, - major_version = 1 -) - -try: - table_fqn = client.upsert_table( - table=table, - data_product_metadata=data_product, - location=DataLocation("test_data_product_v1"), - ) -except CatalogueError: - print("oh no") -``` - -## Search example - -```python -response = client.search() - -# Total results across all pages -print(response.total_results) - -# Iterate over search results -for item in response.page_results: - print(item) - -# Iterate over facet options -for option in response.facets.options('domains'): - print(option.label) - print(option.value) - print(option.count) - -# Include a filter and sort -client.search( - filters=[MultiSelectFilter("domains", [response.facets['domains'][0].value])], - sort=SortOption(field="name", ascending=False) -) -``` - -## Search filters - -### Datahub - -Basic filters: - -- urn -- customProperties -- browsePaths / browsePathsV2 -- deprecated (boolean) -- removed (boolean) -- typeNames -- name, qualifiedName -- description, hasDescription - -Timestamps: - -- lastOperationTime (datetime) -- createdAt (timestamp) -- lastModifiedAt (timestamp) - -URNs: - -- platform / platformInstance -- tags, hasTags -- glossaryTerms, hasGlossaryTerms -- domains, hasDomain -- siblings -- owners, hasOwners -- roles, hasRoles -- container - -## Catalogue Implementations - -### DataHub - -- Each table is created as a dataset in DataHub -- Tables that reside in the same athena database (data_product_v1) should - be placed within the same DataHub container. diff --git a/lib/datahub-client/pyproject.toml b/lib/datahub-client/pyproject.toml index d676a12b..57b071c2 100644 --- a/lib/datahub-client/pyproject.toml +++ b/lib/datahub-client/pyproject.toml @@ -11,7 +11,7 @@ max-line-length = 120 [tool.poetry] name = "ministryofjustice-data-platform-catalogue" version = "1.0.0" -description = "Library to integrate the MoJ data platform with the catalogue component." +description = "Wrapper around Datahub supporting custom properties for the Find MOJ Data service." authors = ["MoJ Data Platform Team "] license = "MIT" readme = "README.md" From a893d750790aa4254b15024b1d04d1d4b0fedac9 Mon Sep 17 00:00:00 2001 From: Mat Moore Date: Thu, 2 May 2024 17:02:24 +0100 Subject: [PATCH 59/64] Handle the correct exception type --- home/views.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/home/views.py b/home/views.py index ae285e31..dc6ecf0b 100644 --- a/home/views.py +++ b/home/views.py @@ -1,4 +1,4 @@ -from django.core.exceptions import ObjectDoesNotExist +from data_platform_catalogue.client.exceptions import EntityDoesNotExist from django.http import Http404, HttpResponseBadRequest from django.shortcuts import render @@ -33,7 +33,7 @@ def details_view(request, result_type, urn): def database_details(urn): try: service = DatabaseDetailsService(urn) - except ObjectDoesNotExist: + except EntityDoesNotExist: raise Http404("Asset does not exist") context = service.context @@ -44,7 +44,7 @@ def database_details(urn): def dataset_details(urn): try: service = DatasetDetailsService(urn) - except ObjectDoesNotExist: + except EntityDoesNotExist: raise Http404("Asset does not exist") context = service.context @@ -55,7 +55,7 @@ def dataset_details(urn): def chart_details(urn): try: service = ChartDetailsService(urn) - except ObjectDoesNotExist: + except EntityDoesNotExist: raise Http404("Asset does not exist") context = service.context From 8e5a46b7e83ba2e8a014f30d00e2ec59889b939f Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Fri, 3 May 2024 10:47:39 +0100 Subject: [PATCH 60/64] Update .vscode/launch.json --- .vscode/launch.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.vscode/launch.json b/.vscode/launch.json index 9f959439..5716235a 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -10,7 +10,7 @@ "request": "launch", "program": "${workspaceFolder}/manage.py", "args": ["runserver"], - "justMyCode": false, + // "justMyCode": false, "django": true } ] From 5ba49dc924ef208bf52889931cacc4be53daca73 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Fri, 3 May 2024 10:47:44 +0100 Subject: [PATCH 61/64] Update templates/partial/search_result.html --- templates/partial/search_result.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/templates/partial/search_result.html b/templates/partial/search_result.html index 27a46ea3..44056a42 100644 --- a/templates/partial/search_result.html +++ b/templates/partial/search_result.html @@ -50,7 +50,7 @@

Matched fields
- {{ result.matches|join:", " }} + {{ result.matches|lookup:readable_match_reasons|join:", " }}
{% endif %} From a33943bfe076d9f3da880fe089a01d0482b9c8a2 Mon Sep 17 00:00:00 2001 From: Murdo <109604278+murdo-moj@users.noreply.github.com> Date: Fri, 3 May 2024 11:03:44 +0100 Subject: [PATCH 62/64] Update templates/details_table.html --- templates/details_table.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/templates/details_table.html b/templates/details_table.html index 2b180602..df83d040 100644 --- a/templates/details_table.html +++ b/templates/details_table.html @@ -69,7 +69,7 @@

- {% include "partial/contact_info.html" with data_owner=table..governance.data_owner.display_name data_owner_email=table..governance.data_owner.email %} + {% include "partial/contact_info.html" with data_owner=table.governance.data_owner.display_name data_owner_email=table.governance.data_owner.email %}
From 377f1e7f8691c8a11947b1931be3a5e9c14d3b35 Mon Sep 17 00:00:00 2001 From: Murdo Moyse Date: Fri, 3 May 2024 11:11:18 +0100 Subject: [PATCH 63/64] Added vscode default settings --- .gitignore | 2 ++ .vscode/launch.json.default | 13 +++++++++++++ 2 files changed, 15 insertions(+) create mode 100644 .vscode/launch.json.default diff --git a/.gitignore b/.gitignore index 647dea36..e0a21305 100644 --- a/.gitignore +++ b/.gitignore @@ -24,6 +24,8 @@ share/python-wheels/ .installed.cfg *.egg MANIFEST +.vscode/** +!.vscode/launch.json.default # PyInstaller # Usually these files are written by a python script from a template diff --git a/.vscode/launch.json.default b/.vscode/launch.json.default new file mode 100644 index 00000000..1c83283c --- /dev/null +++ b/.vscode/launch.json.default @@ -0,0 +1,13 @@ +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Django", + "type": "debugpy", + "request": "launch", + "program": "${workspaceFolder}/manage.py", + "args": ["runserver"], + "django": true + } + ] +} From 1bf464641b1ce9bf47dd83ff96e2720d485888b4 Mon Sep 17 00:00:00 2001 From: Murdo Moyse Date: Fri, 3 May 2024 11:13:39 +0100 Subject: [PATCH 64/64] Removed setting from git --- .vscode/launch.json | 17 ----------------- .vscode/settings.json | 5 ----- 2 files changed, 22 deletions(-) delete mode 100644 .vscode/launch.json delete mode 100644 .vscode/settings.json diff --git a/.vscode/launch.json b/.vscode/launch.json deleted file mode 100644 index 5716235a..00000000 --- a/.vscode/launch.json +++ /dev/null @@ -1,17 +0,0 @@ -{ - // Use IntelliSense to learn about possible attributes. - // Hover to view descriptions of existing attributes. - // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 - "version": "0.2.0", - "configurations": [ - { - "name": "Python Debugger: Django", - "type": "debugpy", - "request": "launch", - "program": "${workspaceFolder}/manage.py", - "args": ["runserver"], - // "justMyCode": false, - "django": true - } - ] -} diff --git a/.vscode/settings.json b/.vscode/settings.json deleted file mode 100644 index d969f962..00000000 --- a/.vscode/settings.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "python.testing.pytestArgs": ["tests"], - "python.testing.unittestEnabled": false, - "python.testing.pytestEnabled": true -}