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#ask-ai
Title
# ask-ai
h

Henry Tareque

02/27/2024, 8:09 PM
@Scout is there a way to trigger a run via an API?
s

Scout

02/27/2024, 8:09 PM
Yes, there is a way to trigger a run via an API in Dagster. You can use the GraphQL API to launch a run. The documentation provides an example of how to use the
DagsterGraphQLClient
to send a GraphQL request to the Dagster instance, which triggers the desired pipeline run. Here's a basic example provided in the documentation:
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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'})
In this example, you need to 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 pipeline you want to trigger, and provide the appropriate environment configuration in the form of a dictionary as needed by your pipeline. Please ensure that your web server or the system from which you are making the API call has appropriate permissions and network access to communicate with the Dagster instance.
Yes, there is a way to trigger a run via an API in Dagster. You can use the GraphQL API to launch a run. The documentation provides an example of how to submit a run with the Python GraphQL client. Here's a basic outline of the process: 1. Set up the Dagster GraphQL client to communicate with your Dagster instance. 2. Use the client to send a GraphQL request to the Dagster instance, triggering the desired job run. For more detailed instructions and examples, you can refer to the [GraphQL API documentation](https://docs.dagster.io/concepts/webserver/graphql-client). Please note that you will need to ensure that your client has the appropriate permissions and network access to communicate with the Dagster instance, and you'll need to provide the necessary pipeline name and configuration for the run.
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