:py:mod:`airflow.providers.google.cloud.example_dags.example_functions`
=======================================================================

.. py:module:: airflow.providers.google.cloud.example_dags.example_functions

.. autoapi-nested-parse::

   Example Airflow DAG that displays interactions with Google Cloud Functions.
   It creates a function and then deletes it.

   This DAG relies on the following OS environment variables
   https://airflow.apache.org/concepts.html#variables

   * GCP_PROJECT_ID - Google Cloud Project to use for the Cloud Function.
   * GCP_LOCATION - Google Cloud Functions region where the function should be
     created.
   * GCF_ENTRYPOINT - Name of the executable function in the source code.
   * and one of the below:

       * GCF_SOURCE_ARCHIVE_URL - Path to the zipped source in Google Cloud Storage

       * GCF_SOURCE_UPLOAD_URL - Generated upload URL for the zipped source and GCF_ZIP_PATH - Local path to
         the zipped source archive

       * GCF_SOURCE_REPOSITORY - The URL pointing to the hosted repository where the function
         is defined in a supported Cloud Source Repository URL format
         https://cloud.google.com/functions/docs/reference/rest/v1/projects.locations.functions#SourceRepository


Module Contents
---------------

.. py:data:: GCP_PROJECT_ID
   

.. py:data:: GCP_LOCATION
   

.. py:data:: GCF_SHORT_FUNCTION_NAME
   

.. py:data:: FUNCTION_NAME
   

.. py:data:: GCF_SOURCE_ARCHIVE_URL
   

.. py:data:: GCF_SOURCE_UPLOAD_URL
   

.. py:data:: GCF_SOURCE_REPOSITORY
   

.. py:data:: GCF_ZIP_PATH
   

.. py:data:: GCF_ENTRYPOINT
   

.. py:data:: GCF_RUNTIME
   :annotation: = nodejs14

   
.. py:data:: GCP_VALIDATE_BODY
   

.. py:data:: body
   

.. py:data:: default_args
   :annotation: :Dict[str, Any]

   
.. py:data:: deploy_task