Skip to main content

Netflix Conductor Python SDK

Project description

Netflix Conductor SDK - Python

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

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 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

Authentication Settings (Optional)

Configure the authentication settings 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 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.

Create and Run Task Workers

The next step is to create and run task workers.

Create Workflows using Code

Finally, you can create workflows using code.

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-1.0.69.tar.gz (82.2 kB view details)

Uploaded Source

Built Distribution

conductor_python-1.0.69-py3-none-any.whl (159.8 kB view details)

Uploaded Python 3

File details

Details for the file conductor-python-1.0.69.tar.gz.

File metadata

  • Download URL: conductor-python-1.0.69.tar.gz
  • Upload date:
  • Size: 82.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for conductor-python-1.0.69.tar.gz
Algorithm Hash digest
SHA256 06bed8ad91bac7319748cac88f8519d7c2bda07bcb5eb5488c583530043219a7
MD5 8f4da7cb95d92aebdbd0b6045b3010d0
BLAKE2b-256 27f63bd2224561c687998d4aa34edf4ed94920bf495553bb95b63d7c8b0fedcd

See more details on using hashes here.

File details

Details for the file conductor_python-1.0.69-py3-none-any.whl.

File metadata

File hashes

Hashes for conductor_python-1.0.69-py3-none-any.whl
Algorithm Hash digest
SHA256 ea8a0312ad2b409517998005b066ea02efd2178f6dae6bc741a074c3542017f8
MD5 a55945960ce9a188ac26734490e1e956
BLAKE2b-256 2340fba6b887083a95a850d8d8af732e6eda105d795b99ff8040dda861ffe172

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