Skip to main content

Netflix Conductor Python SDK

Project description

Conductor Python

Software Development Kit for Netflix Conductor, written on and providing support for Python.

Quick Guide

In case you have already set up Conductor and got it running, you can quickly onboard to it with these steps:

  1. Install Conductor Python SDK from pypi:
    $ python3 -m pip install conductor-python
    
  2. Run Conductor Python SDK:
    $ python3 -m conductor.client
    

Custom worker

In order to create a custom python worker, it should inherit from WorkerInterface and instantiate a TaskHandler object.

Here is an example:

  • Worker:
    • Details:
      from conductor.client.worker.worker_interface import WorkerInterface
      import multiprocessing
      import socket
      
      
      class SimplePythonWorker(WorkerInterface):
          def get_task_definition_name(self):
              return 'simple_python_worker'
      
          def execute(self, task_result):
              task_result.add_output_data('hostname', socket.gethostname())
              task_result.add_output_data('cpu_cores', multiprocessing.cpu_count())
              return task_result
      
          def get_polling_interval(self):
              return 3
      
      • Name: simple_python_worker
      • Input: None
      • Output: [hostname, cpu_cores]
      • Polling Interval: 3s
  • Main:
    from conductor.client.automator.task_handler import TaskHandler
    from conductor.client.worker.simple_python_worker import SimplePythonWorker
    
    
    def main():
        workers = [SimplePythonWorker()] * 1
        with TaskHandler(workers) as parallel_task_handler:
            parallel_task_handler.start()
    
    
    if __name__ == '__main__':
        main()
    
    • Single worker within TaskHandler

Full installation guide

Set up Conductor

  1. Clone Netflix Conductor repository: https://github.com/Netflix/conductor
    $ git clone https://github.com/Netflix/conductor.git
    
  2. Start Conductor server by running this command at the repo root folder (/conductor):
    $ ./gradlew bootRun
    
  3. Start Conductor UI by running this command at the UI folder (/conductor/ui):
    $ yarn install
    $ yarn run start
    

You should be able to access:

Run

Create new task

You need to define a Task within Conductor that your Python Worker is capable of running.

Make a POST request to /metadata/taskdefs endpoint at your conductor server.

  • URL example: http://localhost:8080/api/metadata/taskdefs
  • Task Definition example:
    [
      {
        "name": "simple_python_worker",
        "description": "Simple Python Worker",
        "retryCount": 3,
        "retryLogic": "FIXED",
        "retryDelaySeconds": 10,
        "timeoutSeconds": 300,
        "timeoutPolicy": "TIME_OUT_WF",
        "responseTimeoutSeconds": 180,
        "ownerEmail": "example@example.com"
      }
    ]
    
  • Command example:
    $ curl -X 'POST' \
        'http://localhost:8080/api/metadata/taskdefs' \
        -H 'accept: */*' \
        -H 'Content-Type: application/json' \
        -d '[
        {
          "name": "simple_python_worker",
          "description": "Simple Python Worker",
          "retryCount": 3,
          "retryLogic": "FIXED",
          "retryDelaySeconds": 10,
          "timeoutSeconds": 300,
          "timeoutPolicy": "TIME_OUT_WF",
          "responseTimeoutSeconds": 180,
          "ownerEmail": "example@example.com"
        }
      ]'
    

Create new workflow

You need to define a Workflow within Conductor that contains the Task you had just defined.

Make a POST request to /metadata/workflow endpoint at your conductor server.

  • URL example: http://localhost:8080/api/metadata/workflow
  • Workflow Definition example:
    {
      "createTime": 1634021619147,
      "updateTime": 1630694890267,
      "name": "simple_workflow_with_python_worker",
      "description": "Simple Workflow with Python Worker",
      "version": 1,
      "tasks": [
        {
          "name": "simple_python_worker",
          "taskReferenceName": "simple_python_worker_ref_1",
          "inputParameters": {},
          "type": "SIMPLE"
        }
      ],
      "inputParameters": [],
      "outputParameters": {
        "workerOutput": "${simple_python_worker_ref_1.output}"
      },
      "schemaVersion": 2,
      "restartable": true,
      "ownerEmail": "example@example.com",
      "timeoutPolicy": "ALERT_ONLY",
      "timeoutSeconds": 0
    }
    
  • Command example:
    $ curl -X 'POST' \
        'http://localhost:8080/api/metadata/workflow' \
        -H 'accept: */*' \
        -H 'Content-Type: application/json' \
        -d '{
        "createTime": 1634021619147,
        "updateTime": 1630694890267,
        "name": "simple_workflow_with_python_worker",
        "description": "Simple Workflow with Python Worker",
        "version": 1,
        "tasks": [
          {
            "name": "simple_python_worker",
            "taskReferenceName": "simple_python_worker_ref_1",
            "inputParameters": {},
            "type": "SIMPLE"
          }
        ],
        "inputParameters": [],
        "outputParameters": {
          "workerOutput": "${simple_python_worker_ref_1.output}"
        },
        "schemaVersion": 2,
        "restartable": true,
        "ownerEmail": "example@example.com",
        "timeoutPolicy": "ALERT_ONLY",
        "timeoutSeconds": 0
      }'
    

Start new workflow

Now that you have defined a Task and a Workflow within Conductor, you should be able to run it.

Make a POST request to /workflow/{name} endpoint at your conductor server.

  • URL example: http://localhost:8080/api/workflow/simple_workflow_with_python_worker
    • Priority should be empty
    • Request body should be empty, like: {}
  • Command example:
    $ curl -X 'POST' \
        'http://localhost:8080/api/workflow/simple_workflow_with_python_worker' \
        -H 'accept: text/plain' \
        -H 'Content-Type: application/json' \
        -d '{}'
    
  • Create a bunch of workflows:
    $ export CREATE_WORKFLOW_SHORTCUT="curl -X 'POST' \
        'http://localhost:8080/api/workflow/simple_workflow_with_python_worker' \
        -H 'accept: text/plain' \
        -H 'Content-Type: application/json' \
        -d '{}' \
        -s"
    
    $ for idx in {1..100}; do \
        echo "Creating workflow ${idx}"; \
        workflow_id=$(eval "${CREATE_WORKFLOW_SHORTCUT}"); \
        echo "workflow_id=${workflow_id}"; \
      done
    
    • Expected output example:
      Creating workflow 1
      workflow_id=6dd2c86b-5ce6-487a-9a65-632139da1345
      Creating workflow 2
      workflow_id=b0ddfdcf-0c4a-4fd3-892c-97fc38c46d63
      ...
      

You should receive a Workflow ID at the Response body

  • Workflow ID example: 8ff0bc06-4413-4c94-b27a-b3210412a914

See workflow execution

Now you must be able to see its execution through the UI.

  • URL:
    • prefix: http://localhost:5001/execution
    • suffix: ${workflow_id}
  • Example: http://localhost:5001/execution/8ff0bc06-4413-4c94-b27a-b3210412a914

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

conductor-python-1.0.4.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

conductor_python-1.0.4-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file conductor-python-1.0.4.tar.gz.

File metadata

  • Download URL: conductor-python-1.0.4.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.9

File hashes

Hashes for conductor-python-1.0.4.tar.gz
Algorithm Hash digest
SHA256 cdf61c963a15f538e98a8d3ba835c439b653ead387908a64e09a01e768394d00
MD5 5179b502da5eeeafca52e678e799d2c0
BLAKE2b-256 e148793df2ed52d3286f87770d47fdebedb6c4fa542cf10ff062ac859f8a6f30

See more details on using hashes here.

File details

Details for the file conductor_python-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: conductor_python-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 7.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.9

File hashes

Hashes for conductor_python-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f1975fd8f847d43ac0b24a9f1a2662f328c678e396de340a12cc4f903022f44e
MD5 3effdbc8babb856a5f6453144641fbb4
BLAKE2b-256 96523701981e6b1b3caf27fabe5072fd66d221edcdbcb6bed4a3a562b7e022f0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page