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Apache Airflow - OpenApi Client for Python

Results 21 airflow-client-python issues
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Response from API call via Postman - `'/dags?limit=1` ``` { "dag_id": "Disaster_Recovery", "description": null, "file_token": "Ii91c3IvbG9jYWwvYWlyZmxvdy9kYWdzL2NvbmNvcmRfZGFnc19kci5weSI.fWukEYmKdWxEz4D_qEy-F2BqCZw", "fileloc": "/usr/local/airflow/dags/concord_dags_dr.py", "is_active": true, "is_paused": false, "is_subdag": false, "owners": [ "Airflow" ], "root_dag_id": null,...

Calling `pool_client.get_pools()` I get this error: ``` Invalid inputs given to generate an instance of 'PoolCollectionAllOf'. The input data was invalid for the allOf schema 'PoolCollectionAllOf' in the composed schema...

Client version : 2.1.0 Code : ```with client.ApiClient(configuration) as api_client: api_instance = dag_api.DAGApi(api_client) dag_id = "dag_id_example" try: # Get a simplified representation of DAG api_response = api_instance.get_dag_details(dag_id) pprint(api_response) except client.ApiException...

Hi, The function does not return more than 100 dags even setting the limit to more than 100. So `get_dags(limit=500)` will only return max of 100 dags. I have to...

is there a way to increase this timeout? Does pulling data for other airflow instances affect it? I tried to use _request_timeout=180 but it didn't help

question

These were missed during the initial release

Using curl I can do the following: ``` $ curl -b ./cookies.txt https://url/api/v1/dag ``` How can I authorize using cookies file with airflow-client-python? Thank you. I think what I am...

**Issue:** I am using airflow client with our own authentication based in azure AD , API is throwing forbidden error as stated below. I think it is due to ssl...

My airflow backed authentication is set to auth_backend | airflow.composer.api.backend.composer_auth,airflow.api.auth.backend.session -- | -- can you give example for authentication

### Description Encountered an ApiValueError when attempting to retrieve the schedule_interval field using get_dag_details in the Airflow client. The error suggests inconsistent values for the schedule_interval property. ### Code Snippet...