The conductor-python repository provides the client SDKs to build task workers in Python.

Building the task workers in Python mainly consists of the following steps:

1. Setup conductor-python package
2. Create and run task workers
3. Create workflows using code

• Create a virtual environment to build your package

virtualenv conductor
source conductor/bin/activate

• Get Conductor Python SDK

python3 -m pip install conductor-python

Everything related to server settings should be done within the Configuration class by setting the required parameter (when initializing an object) like this:

configuration = Configuration(
    server_api_url='https://play.orkes.io/api',
    debug=True
)

• server_api_url : Conductor server address. For example, if you are running locally, it would look like; http://localhost:8000/api.
• debug: It can take the values true/false. true for verbose logging false to display only the errors

Configure the authentication settings if your Conductor server requires authentication.

See Access Control for more details on role-based access control with Conductor and generating API keys for your environment.

configuration = Configuration(
    authentication_settings=AuthenticationSettings(
        key_id='key',
        key_secret='secret'
    )
)

Conductor uses Prometheus to collect metrics.

metrics_settings = MetricsSettings(
    directory='/path/to/folder',
    file_name='metrics_file_name.extension',
    update_interval=0.1,
)

• directory: Directory to store the metrics.
  • Ensure that you have already created this folder, or the program should have permission to create it for you.
• file_name: File where the metrics are stored.
  • example: metrics.log
• update_interval: Time interval in seconds to refresh metrics into the file.
  • example: 0.1 means metrics are updated every 0.1s or 100ms.

The next step is to create and run task workers.

Finally, you can create workflows using code.