openmetadata-managed-apis 0.13.1.1

Airflow REST APIs to create and manage DAGS

OpenMetadata Airflow Managed DAGS Api

This is a plugin for Apache Airflow >= 1.10 and Airflow >=2.x that exposes REST APIs to deploy an OpenMetadata workflow definition and manage DAGS and tasks.

Development

You can run make branch=issue-3659-v2 test_up and specify any branch from OpenMetadata that you'd need to test the changes in the APIs. This will prepare a separated airflow container.

The command will build the image by downloading the branch changes inside the container. This helps us test the REST APIs using some ongoing changes on OpenMetadata as well.

Requirements

First, make sure that Airflow is properly installed with the latest version 2.3.3. From the docs:

Then, install following packages in your scheduler and webserver python env.

pip install openmetadata-airflow-managed-apis       

Configuration

Add the following section to airflow.cfg

[openmetadata_airflow_apis]
dag_generated_configs = {AIRFLOW_HOME}/dag_generated_configs

substitute AIRFLOW_HOME with your airflow installation home

Deploy

pip install "apache-airflow==2.3.3" --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-2.3.3/constraints-3.9.txt"

1. Install the package

2. mkdir -p {AIRFLOW_HOME}/dag_generated_configs

3. (re)start the airflow webserver and scheduler

   airflow webserver
   airflow scheduler
   

Validate

You can check that the plugin is correctly loaded by going to http://{AIRFLOW_HOST}:{AIRFLOW_PORT}/restapi, or accessing the REST_API_PLUGIN view through the Admin dropdown.

APIs

Enable JWT Auth tokens

Plugin enables JWT Token based authentication for Airflow versions 1.10.4 or higher when RBAC support is enabled.

Generating the JWT access token

curl -XPOST http://localhost:8080/api/v1/security/login -H "Content-Type: application/json" -d '{"username":"admin", "password":"admin", "refresh":true, "provider": "db"}'

Examples:

curl -X POST http://localhost:8080/api/v1/security/login -H "Content-Type: application/json" -d '{"username":"admin", "password":"admin", "refresh":true, "provider": "db"}'

Sample response which includes access_token and refresh_token.

{
 "access_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MDQyMTc4MzgsIm5iZiI6MTYwNDIxNzgzOCwianRpIjoiMTI4ZDE2OGQtMTZiOC00NzU0LWJiY2EtMTEyN2E2ZTNmZWRlIiwiZXhwIjoxNjA0MjE4NzM4LCJpZGVudGl0eSI6MSwiZnJlc2giOnRydWUsInR5cGUiOiJhY2Nlc3MifQ.xSWIE4lR-_0Qcu58OiSy-X0XBxuCd_59ic-9TB7cP9Y",
 "refresh_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MDQyMTc4MzgsIm5iZiI6MTYwNDIxNzgzOCwianRpIjoiZjA5NTNkODEtNWY4Ni00YjY0LThkMzAtYzg5NTYzMmFkMTkyIiwiZXhwIjoxNjA2ODA5ODM4LCJpZGVudGl0eSI6MSwidHlwZSI6InJlZnJlc2gifQ.VsiRr8_ulCoQ-3eAbcFz4dQm-y6732QR6OmYXsy4HLk"
}

By default, JWT access token is valid for 15 mins and refresh token is valid for 30 days. You can renew the access token with the help of refresh token as shown below.

Renewing the Access Token

curl -X POST "http://{AIRFLOW_HOST}:{AIRFLOW_PORT}/api/v1/security/refresh" -H 'Authorization: Bearer <refresh_token>'

Examples:

curl -X POST "http://localhost:8080/api/v1/security/refresh" -H 'Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MDQyMTc4MzgsIm5iZiI6MTYwNDIxNzgzOCwianRpIjoiZjA5NTNkODEtNWY4Ni00YjY0LThkMzAtYzg5NTYzMmFkMTkyIiwiZXhwIjoxNjA2ODA5ODM4LCJpZGVudGl0eSI6MSwidHlwZSI6InJlZnJlc2gifQ.VsiRr8_ulCoQ-3eAbcFz4dQm-y6732QR6OmYXsy4HLk'

sample response returns the renewed access token as shown below.

{
 "access_token":"eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MDQyODQ2OTksIm5iZiI6MTYwNDI4NDY5OSwianRpIjoiZDhhN2IzMmYtMWE5Zi00Y2E5LWFhM2ItNDEwMmU3ZmMyMzliIiwiZXhwIjoxNjA0Mjg1NTk5LCJpZGVudGl0eSI6MSwiZnJlc2giOmZhbHNlLCJ0eXBlIjoiYWNjZXNzIn0.qY2e-bNSgOY-YboinOoGqLfKX9aQkdRjo025mZwBadA"
}

Enable API requests with JWT

If the Authorization header is not added in the api request，response error:

{"msg":"Missing Authorization Header"}

Pass the additional Authorization:Bearer <access_token> header in the rest API request.

Examples:

curl -X GET -H 'Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MDQyODQ2OTksIm5iZiI6MTYwNDI4NDY5OSwianRpIjoiZDhhN2IzMmYtMWE5Zi00Y2E5LWFhM2ItNDEwMmU3ZmMyMzliIiwiZXhwIjoxNjA0Mjg1NTk5LCJpZGVudGl0eSI6MSwiZnJlc2giOmZhbHNlLCJ0eXBlIjoiYWNjZXNzIn0.qY2e-bNSgOY-YboinOoGqLfKX9aQkdRjo025mZwBadA' http://localhost:8080/rest_api/api\?api\=dag_state\&dag_id\=dag_test\&run_id\=manual__2020-10-28T17%3A36%3A28.838356%2B00%3A00

Using the API

Once you deploy the plugin and restart the webserver, you can start to use the REST API. Bellow you will see the endpoints that are supported.

Note: If enable RBAC, http://{AIRFLOW_HOST}:{AIRFLOW_PORT}/rest_api/
This web page will show the Endpoints supported and provide a form for you to test submitting to them.

• deploy_dag
• delete_dag

deploy_dag

Description:

• Deploy a new dag, and refresh dag to session.

Endpoint:

http://{AIRFLOW_HOST}:{AIRFLOW_PORT}/rest_api/api?api=deploy_dag

Method:

• POST

POST request Arguments:

{
	"workflow": {
		"name": "test_ingestion_x_35",
		"force": "true",
		"pause": "false",
		"unpause": "true",
		"dag_config": {
			"test_ingestion_x_35": {
				"default_args": {
					"owner": "harsha",
					"start_date": "2021-10-29T00:00:00.000Z",
					"end_date": "2021-11-05T00:00:00.000Z",
					"retries": 1,
					"retry_delay_sec": 300
				},
				"schedule_interval": "0 3 * * *",
				"concurrency": 1,
				"max_active_runs": 1,
				"dagrun_timeout_sec": 60,
				"default_view": "tree",
				"orientation": "LR",
				"description": "this is an example dag!",
				"tasks": {
					"task_1": {
						"operator": "airflow.operators.python_operator.PythonOperator",
						"python_callable_name": "metadata_ingestion_workflow",
						"python_callable_file": "metadata_ingestion.py",
						"op_kwargs": {
							"workflow_config": {
								"metadata_server": {
									"config": {
										"api_endpoint": "http://localhost:8585/api",
										"auth_provider_type": "no-auth"
									},
									"type": "metadata-server"
								},
								"sink": {
									"config": {
										"es_host": "localhost",
										"es_port": 9200,
										"index_dashboards": "true",
										"index_tables": "true",
										"index_topics": "true"
									},
									"type": "elasticsearch"
								},
								"source": {
									"config": {
										"include_dashboards": "true",
										"include_tables": "true",
										"include_topics": "true",
										"limit_records": 10
									},
									"type": "metadata"
								}
							}
						}
					}
				}
			}
		}
	}
}

Examples:

curl -H  'Authorization: Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpYXQiOjE2MzU2NTE1MDAsIm5iZiI6MTYzNTY1MTUwMCwianRpIjoiNWQyZTM3ZDYtNjdiYS00NGZmLThjOWYtMDM0ZTQyNGE3MTZiIiwiZXhwIjoxNjM1NjUyNDAwLCJpZGVudGl0eSI6MSwiZnJlc2giOnRydWUsInR5cGUiOiJhY2Nlc3MifQ.DRUYCAiMh5h2pk1MZZJ4asyVFC20pu35DuAANQ5GxGw' -H 'Content-Type: application/json' -d "@test_ingestion_config.json" -X POST http://localhost:8080/rest_api/api\?api\=deploy_dag```
##### response:
```json
{"message": "Workflow [test_ingestion_x_35] has been created", "status": "success"}

delete_dag

Description:

• Delete dag based on dag_id.

Endpoint:

http://{AIRFLOW_HOST}:{AIRFLOW_PORT}/rest_api/api?api=delete_dag&dag_id=value

Method:

• GET

GET request Arguments:

• dag_id - string - The id of dag.

Examples:

curl -X GET http://localhost:8080/rest_api/api?api=delete_dag&dag_id=dag_test

response:

{
  "message": "DAG [dag_test] deleted",
  "status": "success"
}