Metadata-Version: 2.1
Name: aws-ecs-gcp-workload-identity-federation
Version: 0.0.1
Summary: aws-ecs-gcp-workload-identity-federation: This package solves Amazon ECS credential issues with AWS and GCP Workload Identity Federation.
Home-page: https://github.com/ohsawa0515/aws-ecs-gcp-workload-identity-federation
Author: Shuichi Ohsawa
Author-email: ohsawa0515@gmail.com
Maintainer: Shuichi Ohsawa
Maintainer-email: ohsawa0515@gmail.com
License: MIT
Download-URL: https://github.com/ohsawa0515/aws-ecs-gcp-workload-identity-federation
Description: # aws-ecs-gcp-workload-identity-federation
        
        AWS to GCP Workload Identity Federation in Amazon ECS.
        
        This is a package for working with [Workload Identity Federation](https://cloud.google.com/iam/docs/workload-identity-federation) on Amazon ECS (EC2 or Fargate).
        
        When you import this package, the ECS task role credentials are set as environment variables, so you can use them without any special awareness.
        
        ## Quick start
        
        Refer to the [documentation](https://cloud.google.com/iam/docs/configuring-workload-identity-federation#aws), set up Workload Identity federation and enable access to GCP resources from AWS.
        
        Download credential configuration file (e.g. `config-aws-provider.json`) and point it to the credential configuration file path.
        
        ```console
        $ export GOOGLE_APPLICATION_CREDENTIALS=/path/to/config-aws-provider.json
        ```
        
        For Amazon ECS, by task definitions, you can pass environment variables to a container ([documentation](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/taskdef-envfiles.html)).
        
        ## Example
        
        For example, when executing a query from AWS to BigQuery, it will be as follows.
        
        ```python
        import aws_ecs_gcp_workload_identity
        from google.cloud import bigquery
        
        project_id = 'my-workload-identity'
        bqclient = bigquery.Client(project=project_id)
        
        sql = """
        SELECT name, age
        FROM `my-data-project.my_dataset.my_table`
        """
        
        query_job = bqclient.query(sql)
        results = query_job.result()
        for row in results:
            print("{}, {}".format(row.name, row.age))
        ```
        
        ## Contribution
        
        1. Fork ([https://github.com/ohsawa0515/aws-ecs-gcp-workload-identity-federation/fork](https://github.com/ohsawa0515/aws-ecs-gcp-workload-identity-federation/fork))
        2. Create a feature branch
        3. Commit your changes
        4. Rebase your local changes against the master branch
        5. Create new Pull Request
        
        ## License
        
        See [LICENSE](https://github.com/ohsawa0515/aws-ecs-gcp-workload-identity-federation/blob/master/LICENSE).
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Description-Content-Type: text/markdown
