11/19/2023 0 Comments Trigger airflow dag via apiI tried to configure it properly but I am still unsuccessful in this endeavor. With the new stable API, it is now impossible to disable the authentication mechanism.Īirflow enables you to define your own authentication backend which I did using the Google provided OpenID auth backend : The previous setup documented by Google was to disable the authentication on the experimental API and rely on the IAP security layer provided with Google ( ). So far I have been unable to find a working solution for correctly authenticating against the stable API. With Airflow 2 comes a new stable API as the "experimental" API is now deprecated. Airflow is deployed using Composer with its new preview version 2.0.1. I am currently trying to trigger an Airflow DAG via a Cloud Function call. For the most accurate and up-to-date information, I recommend checking the official Amazon MWAA documentation or reaching out to Amazon support directly.TLDR: What is the best way of authenticating the new API endpoint in GCP to trigger a Cloud Composer DAG from a Cloud Function? /api/v1/dags//dagRuns ![]() In the airflow CLI - you trigger a dag as follows: airflow dags trigger nameofthedag (glossing over authentication) I'm just getting to grips with scripts doing this via the REST API. To test Airflow API calls in a local Airflow environment running with the Astro CLI, see Test and Troubleshoot Locally. Please note that Amazon is continuously updating and improving their services, so it's possible that they may add support for the classic Airflow REST API in the future. In Airflow, these are datetimestamps, which theoretically are not unique across the whole system, but should be within a dag. For example, you can externally trigger a DAG run without accessing your Deployment directly by making an HTTP request in Python or cURL to the dagRuns endpoint in the Airflow REST API. However, this would mean you would need to handle all the infrastructure management, scaling, and maintenance tasks that MWAA handles for you. Check your environments networking configuration Enable APIs for your project Enable the Airflow REST API Allow API calls to Airflow REST API using. Parameters triggerdagid ( str) The dagid to trigger (templated). Example to trigger dag: import base64 import boto3 import requests MWAAENVIRONMENTNAME 'production-mwaa' dagname 'testparamdag' mwaaclicommand 'dags trigger. Usage example - DAG has one task that only prints the number sent inside the trigger request. If you need to use the classic Airflow REST API, you might need to consider running a self-managed Airflow setup. Triggers a DAG run for a specified dagid. I'm trying to trigger Airflow's DAG and send parameters inside the post request. ![]() The data orchestration software via the control plane does the rest to. The CLI endpoint is accessible at This endpoint allows you to interact with your MWAA environment using the Airflow CLI, which can be useful for tasks like triggering DAGs, checking the status of tasks, and more. Airflow utilizes directed acyclic graphs (DAGs) to manage the The EUs. Instead, MWAA provides a CLI endpoint that allows you to run Airflow CLI commands remotely. Use Params to Provide a Trigger UI Form¶ DAG level params are used to render a user friendly trigger form. As of the last update, Amazon Managed Workflows for Apache Airflow (MWAA) does not support the classic Airflow REST API endpoints like /dags or /variables.
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