Python client for Conductor provides two sets of functions:
- Workflow management APIs (start, terminate, get workflow status etc.)
- Worker execution framework
NOTE: This repository has been forked from Netflix:conductor's
client/python
folder. Apart from the results of renaming the module fromconductor
topyconductor
, (as pip already contains aconductor
module), there are no code changes. This repository is mostly meant to act as an easy way to install the python client forNetflix:conductor
. There are also attempts made to add documentation to the client overall. As far as possible, the library will be kept in sync with the upstream branch.
pip install pyconductor
Python class WorkflowClient
provides client API calls to the conductor server to start manage the workflows.
import sys
from pyconductor import conductor
import json
def getStatus(workflowId):
workflowClient = conductor.WorkflowClient('http://localhost:8080/api')
workflow_json = workflowClient.getWorkflow(workflowId)
print json.dumps(workflow_json, indent=True, separators=(',', ': '))
return workflow_json
Task worker execution APIs facilitates execution of a task worker using python client. The API provides necessary mechanism to poll for task work at regular interval and executing the python worker in a separate threads.
The following python script demonstrates workers for the kitchensink workflow.
from pyconductor.ConductorWorker import ConductorWorker
def execute(task):
return {'status': 'COMPLETED', 'output': {'mod': 5, 'taskToExecute': 'task_1', 'oddEven': 0}, 'logs': ['one', 'two']}
def execute4(task):
forkTasks = [{"name": "task_1", "taskReferenceName": "task_1_1", "type": "SIMPLE"},{"name": "sub_workflow_4", "taskReferenceName": "wf_dyn", "type": "SUB_WORKFLOW", "subWorkflowParam": {"name": "sub_flow_1"}}];
input = {'task_1_1': {}, 'wf_dyn': {}}
return {'status': 'COMPLETED', 'output': {'mod': 5, 'taskToExecute': 'task_1', 'oddEven': 0, 'dynamicTasks': forkTasks, 'inputs': input}}
def main():
print 'Hello World'
cc = ConductorWorker('http://localhost:8080/api', 1, 0.1)
for x in range(1, 30):
if(x == 4):
cc.start('task_{0}'.format(x), execute4, False)
else:
cc.start('task_{0}'.format(x), execute, False)
cc.start('task_30', execute, True)
if __name__ == '__main__':
main()