Netflix Conductor SDK

conductor-python repository provides the client SDKs to build Task Workers in Python

Quick Start

1. Setup conductor-python package
2. Create and run Task Workers
3. Create workflows using Code

Setup conductor python package

Create a virtual environment to build your package:

virtualenv conductor
source conductor/bin/activate

Get Conductor Python SDK

python3 -m pip install conductor-python

Server settings

Everything related to server settings should be done within 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. e.g. http://localhost:8000/api if running locally
• debug: true for verbose logging false to display only the errors

Authentication settings (optional)

Use if your conductor server requires authentication.

Access Control Setup

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'
    )
)

Metrics settings (optional)

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 where to store the metrics
  • make sure that you have created this folder before, or the program 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

Next: Create and run Task Workers