Change import to have configurable prefixes via set_options

docs/source/reference/api.md

@@ -50,3 +50,10 @@ For more details and examples, refer to the relevant chapters in the main part o
     :noindex:
     :special-members: __init__
 ```
+
+## Options for dataset attributes
+
+```{eval-rst}
+.. autoclass:: intake_esm.utils.set_options
+    :noindex:
+```

intake_esm/__init__.py

@@ -8,7 +8,7 @@
 from . import tutorial
 from .core import esm_datastore
 from .derived import DerivedVariableRegistry, default_registry
-from .utils import show_versions
+from .utils import set_options, show_versions
 
 try:
     __version__ = get_distribution(__name__).version

intake_esm/core.py

@@ -475,6 +475,10 @@ def to_dataset_dict(
         """
         Load catalog entries into a dictionary of xarray datasets.
 
+        Column values, dataset keys and requested variables are added as global
+        attributes on the returned datasets. The names of these attributes can be
+        customized with :py:class:`intake_esm.utils.set_options`.
+
         Parameters
         ----------
         xarray_open_kwargs : dict

intake_esm/source.py

@@ -8,7 +8,7 @@
 from intake.source.base import DataSource, Schema
 
 from .cat import Aggregation, DataFormat
-from .utils import INTAKE_ESM_ATTRS_PREFIX, INTAKE_ESM_DATASET_KEY, INTAKE_ESM_VARS_KEY
+from .utils import OPTIONS
 
 
 class ESMDataSourceError(Exception):
@@ -74,9 +74,9 @@ def _open_dataset(
         variable_intersection = set(requested_variables).intersection(set(varname))
         variables = [variable for variable in variable_intersection if variable in ds.data_vars]
         ds = ds[variables]
-        ds.attrs[INTAKE_ESM_VARS_KEY] = variables
+        ds.attrs[OPTIONS['vars_key']] = variables
     else:
-        ds.attrs[INTAKE_ESM_VARS_KEY] = varname
+        ds.attrs[OPTIONS['vars_key']] = varname
 
     ds = _expand_dims(expand_dims, ds)
     ds = _update_attrs(additional_attrs, ds)
@@ -87,15 +87,15 @@ def _update_attrs(additional_attrs, ds):
     additional_attrs = additional_attrs or {}
     if additional_attrs:
         additional_attrs = {
-            f'{INTAKE_ESM_ATTRS_PREFIX}/{key}': value for key, value in additional_attrs.items()
+            f"{OPTIONS['attrs_prefix']}/{key}": value for key, value in additional_attrs.items()
         }
     ds.attrs = {**ds.attrs, **additional_attrs}
     return ds
 
 
 def _expand_dims(expand_dims, ds):
     if expand_dims:
-        for variable in ds.attrs[INTAKE_ESM_VARS_KEY]:
+        for variable in ds.attrs[OPTIONS['vars_key']]:
             ds[variable] = ds[variable].expand_dims(**expand_dims)
 
     return ds
@@ -230,22 +230,22 @@ def _open_dataset(self):
                 datasets = sorted(
                     datasets,
                     key=lambda ds: tuple(
-                        f'{INTAKE_ESM_ATTRS_PREFIX}/{agg.attribute_name}'
+                        f"{OPTIONS['attrs_prefix']}/{agg.attribute_name}"
                         for agg in self.aggregations
                     ),
                 )
                 with dask.config.set(
                     {'scheduler': 'single-threaded', 'array.slicing.split_large_chunks': True}
                 ):  # Use single-threaded scheduler
                     datasets = [
-                        ds.set_coords(set(ds.variables) - set(ds.attrs[INTAKE_ESM_VARS_KEY]))
+                        ds.set_coords(set(ds.variables) - set(ds.attrs[OPTIONS['vars_key']]))
                         for ds in datasets
                     ]
                     self._ds = xr.combine_by_coords(
                         datasets, **self.xarray_combine_by_coords_kwargs
                     )
 
-            self._ds.attrs[INTAKE_ESM_DATASET_KEY] = self.key
+            self._ds.attrs[OPTIONS['dataset_key']] = self.key
 
         except Exception as exc:
             raise ESMDataSourceError(

intake_esm/utils.py

@@ -2,10 +2,6 @@
 import importlib
 import sys
 
-INTAKE_ESM_ATTRS_PREFIX = 'intake_esm_attrs'
-INTAKE_ESM_DATASET_KEY = 'intake_esm_dataset_key'
-INTAKE_ESM_VARS_KEY = 'intake_esm_vars'
-
 
 def _allnan_or_nonan(df, column: str) -> bool:
     """Check if all values in a column are NaN or not NaN
@@ -77,3 +73,71 @@ def show_versions(file=sys.stdout):  # pragma: no cover
     print('', file=file)
     for k, stat in sorted(deps_blob):
         print(f'{k}: {stat}', file=file)
+
+
+OPTIONS = {
+    'attrs_prefix': 'intake_esm_attrs',
+    'dataset_key': 'intake_esm_dataset_key',
+    'vars_key': 'intake_esm_vars',
+}
+
+
+class set_options:
+    """Set options for intake_esm in a controlled context.
+
+    Currently-supported options:
+
+    - ``attrs_prefix``:
+      The prefix to use in the names of attributes constructed from the catalog's columns
+      when returning xarray Datasets.
+      Default: ``intake_esm_attrs``.
+    - ``dataset_key``:
+      Name of the global attribute where to store the dataset's key.
+      Default: ``intake_esm_dataset_key``.
+    - ``vars_key``:
+      Name of the global attribute where to store the list of requested variables when
+      opening a dataset. Default: ``intake_esm_vars``.
+
+    Examples
+    --------
+    You can use ``set_options`` either as a context manager:
+
+    >>> import intake
+    >>> import intake_esm
+    >>> cat = intake.open_esm_datastore('catalog.json')
+    >>> with intake_esm.set_options(attrs_prefix='cat'):
+    ...     out = cat.to_dataset_dict()
+    ...
+
+    Or to set global options:
+
+    >>> intake_esm.set_options(attrs_prefix='cat', vars_key='cat_vars')
+    """
+
+    def __init__(self, **kwargs):
+        self.old = {}
+        for k, v in kwargs.items():
+            if k not in OPTIONS:
+                raise ValueError(
+                    f'argument name {k} is not in the set of valid options {set(OPTIONS)}'
+                )
+
+            if not isinstance(v, str):
+                raise ValueError(f'option {k} given an invalid value: {v}')
+
+            self.old[k] = OPTIONS[k]
+
+        self._update(kwargs)
+
+    def __enter__(self):
+        """Context management."""
+        return
+
+    def _update(self, kwargs):
+        """Update values."""
+        for k, v in kwargs.items():
+            OPTIONS[k] = v
+
+    def __exit__(self, type, value, traceback):
+        """Context management."""
+        self._update(self.old)

tests/test_core.py

@@ -461,5 +461,15 @@ class ChildCatalog(intake_esm.esm_datastore):
         pass
 
     cat = ChildCatalog(catalog_dict_records)
-    scat = cat.search(variable=['FOO', 'BAR'])
+    scat = cat.search(variable=['FLNS'])
     assert type(scat) is ChildCatalog
+
+
+def test_options():
+    cat = intake.open_esm_datastore(catalog_dict_records)
+    scat = cat.search(variable=['FLNS'])
+    with intake_esm.set_options(attrs_prefix='myprefix'):
+        _, ds = scat.to_dataset_dict(
+            xarray_open_kwargs={'backend_kwargs': {'storage_options': {'anon': True}}},
+        ).popitem()
+        assert ds.attrs['myprefix/component'] == 'atm'