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#ask-ai
Title
# ask-ai
d

Drew Broadley

02/26/2024, 10:25 AM
How do I trigger Dagster job from a webhook
s

Scout

02/26/2024, 10:25 AM
To trigger a Dagster job from a webhook, you can set up an endpoint in a web service that receives the webhook's payload and then uses that information to trigger a job run in Dagster. Here's a step-by-step guide based on the documentation: 1. Set up a web service: Create a web service that can receive webhook requests. This could be done using frameworks like Flask, Django, FastAPI, or any other web framework of your choice. 2. Receive the webhook: Implement an endpoint in your web service that listens for incoming webhook requests. This endpoint will receive data from the service that sends the webhook. 3. Parse the webhook data: In the endpoint's handler function, parse the incoming webhook data to extract any necessary information that you might need to pass to the Dagster job as configuration. 4. Trigger the Dagster job: Use Dagster's
DagsterGraphQLClient
to send a GraphQL request to the Dagster instance, triggering the desired job run. Here's an example provided in the documentation:
Copy code
python    from dagster import DagsterGraphQLClient     # Set up the GraphQL client to communicate with your Dagster instance    dagster_client = DagsterGraphQLClient('<http://localhost:3000/graphql>')  # Replace with your Dagster instance URL     # Define a function to trigger a Dagster job    def trigger_dagster_job(pipeline_name, environment_dict):        try:            response = dagster_client.execute_plan(                pipeline_name=pipeline_name,                environment_dict=environment_dict,            )            # Process the response if needed            print(response)            return response        except Exception as e:            # Handle exceptions            print(f"Error triggering job: {e}")            return None     # Call the function to trigger the Dagster job    result = trigger_dagster_job('your_pipeline_name', {'config_key': 'config_value'})
Replace
'<http://localhost:3000/graphql>'
with the actual URL where your Dagster instance is running. Also, replace
'your_pipeline_name'
with the name of the job you want to trigger, and provide the appropriate configuration in the form of a dictionary as needed by your job. 5. Handle security: Ensure that your web service has appropriate authentication and authorization mechanisms to prevent unauthorized access to trigger Dagster jobs. By following these steps, you can set up a system where a webhook from an external service can trigger a job in Dagster. Remember to test your setup thoroughly to ensure that it works as expected and handles errors gracefully.
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