Drew Broadley
02/26/2024, 10:25 AMScout
02/26/2024, 10:25 AMDagsterGraphQLClient
to send a GraphQL request to the Dagster instance, triggering the desired job run. Here's an example provided in the documentation: 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.