# relay-sdk-python **Repository Path**: mirrors_puppetlabs/relay-sdk-python ## Basic Information - **Project Name**: relay-sdk-python - **Description**: Python SDK for integrating with Relay - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-08-18 - **Last Updated**: 2026-04-11 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README Relay Python SDK ================ Installation ------------ The SDK is available to install via `pip`: .. code-block:: console pip install relay-sdk If you use the `relaysh/core:latest-python `_ container image as your base image, it'll be pre-installed. Usage ----- The main purpose of the SDK is to provide helpers for interacting with Relay's metadata service. Each container that runs in Relay has access to this service, which allows the container to read and write key-value data, emit events, and generate logs. Accessing Data from the step spec --------------------------------- The `Interface class <./reference.html#module-relay_sdk.interface>`_ is the primary way to interact with the service. Import it and instantiate an object, then call methods on that object to access metadata, which comes from the ``spec`` section of the step and global Connection information. The ``Dynamic`` class provides syntactic sugar for getting data like connection credentials, workflow-specific parameters, and secrets. It represents nested data structures as dot-separated method accessors. .. code-block:: python from relay_sdk import Interface, Dynamic as D relay = Interface() azuresecret = relay.get(D.azure.connection.secret) # using Dynamic azureclient = relay.get('azure["connection"]["clientID"]') # same as above secret = relay.get(D.mysecret) relay.outputs.set("outputkey","This will be the value of outputkey") Running Workflows ----------------- The `Workflow class <./reference.html#module-relay_sdk.workflows>`_ offers the method ``run`` to run a workflow. Use the following to run the workflow ``my_workflow`` with parameter ``param_name`` and value ``param_value``: .. code-block:: python from relay_sdk import Interface relay = Interface() relay.workflows.run('my_workflow', parameters={'param_name':'param_value'}) Webhook Triggers ---------------- The `WebhookServer class <./reference.html#module-relay_sdk.webhook>`_ provides a helper that sets up a webserver to handle incoming requests for Trigger actions. This example, from the `Docker Hub integration `_, makes use of the Interface class to access the ``events.emit`` method, which will cause the workflow associated with this trigger to be run with the inline mapping of workflow parameters to values extracted from the webhook payload. The WebhookServer class can run any WSGI_ or ASGI_ application passed to it. The integrations the Relay team develops internally use the Quart_ web app framework. .. _WSGI: https://www.python.org/dev/peps/pep-3333/ .. _ASGI: https://asgi.readthedocs.io/en/latest/specs/main.html .. _Quart: https://pgjones.gitlab.io/quart/index.html .. code-block:: python from relay_sdk import Interface, WebhookServer from quart import Quart, request, jsonify, make_response relay = Interface() app = Quart('image-pushed') @app.route('/', methods=['POST']) async def handler(): event_payload = await request.get_json() if event_payload is None: return await make_response(jsonify(message='not a valid Docker Hub event'), 400) pd = event_payload['push_data'] rd = event_payload['repository'] relay.events.emit({ 'pushedAt': pd['pushed_at'], 'pusher': pd['pusher'], 'tag': pd['tag'], 'name': rd['repo_name'] }) return await make_response(jsonify(message='success'), 200) if __name__ == '__main__': WebhookServer(app).serve_forever()