airflow_client.client.ExperimentalApi

All URIs are relative to http://localhost

Method	HTTP request	Description
wait_dag_run_until_finished	GET /api/v2/dags/{dag_id}/dagRuns/{dag_run_id}/wait	Experimental: Wait for a dag run to complete, and return task results if requested.

wait_dag_run_until_finished

object wait_dag_run_until_finished(dag_id, dag_run_id, interval, result=result)

Experimental: Wait for a dag run to complete, and return task results if requested.

🚧 This is an experimental endpoint and may change or be removed without notice.Successful response are streamed as newline-delimited JSON (NDJSON). Each line is a JSON object representing the DAG run state.

Example

• OAuth Authentication (OAuth2PasswordBearer):
• Bearer Authentication (HTTPBearer):

import airflow_client.client
from airflow_client.client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = airflow_client.client.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

configuration.access_token = os.environ["ACCESS_TOKEN"]

# Configure Bearer authorization: HTTPBearer
configuration = airflow_client.client.Configuration(
    access_token = os.environ["BEARER_TOKEN"]
)

# Enter a context with an instance of the API client
with airflow_client.client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = airflow_client.client.ExperimentalApi(api_client)
    dag_id = 'dag_id_example' # str | 
    dag_run_id = 'dag_run_id_example' # str | 
    interval = 3.4 # float | Seconds to wait between dag run state checks
    result = ['result_example'] # List[str] | Collect result XCom from task. Can be set multiple times. (optional)

    try:
        # Experimental: Wait for a dag run to complete, and return task results if requested.
        api_response = api_instance.wait_dag_run_until_finished(dag_id, dag_run_id, interval, result=result)
        print("The response of ExperimentalApi->wait_dag_run_until_finished:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling ExperimentalApi->wait_dag_run_until_finished: %s\n" % e)

Parameters

Name	Type	Description	Notes
dag_id	str
dag_run_id	str
interval	float	Seconds to wait between dag run state checks
result	List[str]	Collect result XCom from task. Can be set multiple times.	[optional]

Return type

object

Authorization

OAuth2PasswordBearer, HTTPBearer

HTTP request headers

• Content-Type: Not defined
• Accept: application/json, application/x-ndjson

HTTP response details

Status code	Description	Response headers
200	Successful Response	-
401	Unauthorized	-
403	Forbidden	-
404	Not Found	-
422	Validation Error	-

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