raphaelauv

Results 99 issues of raphaelauv

### Apache Airflow version 2.9.0 ### What happened? on a KPO mapped task , the rendered template fail ![Screenshot from 2024-04-22 09-46-17](https://github.com/apache/airflow/assets/10202690/abb9c3fb-758a-4eb2-9a08-b2ce35f60901) ```log [2024-04-22T07:38:22.812+0000] {app.py:1744} ERROR - Exception on /extra_links...

kind:bug
Can't Reproduce
stale
pending-response
area:core
area:dynamic-task-mapping
needs-triage

connexion 3 is 6 month old

I would like to try rocksdb with IOUring ( async operations ) , did you not bump the version of rocksdb for a reason , or it's just not necessary...

would be great to be able to create a backup from python code WDYT ?

ubuntu 20.04 , python 3.8 ```python import aimrocks db_options = dict( create_if_missing=True, paranoid_checks=False, ) db_path = '/tmp/example_db2' rocks_db = aimrocks.DB(db_path, aimrocks.Options(**db_options), read_only=False) batch = aimrocks.WriteBatch() batch.put(b'key_1', b'value_1') batch.put(b'key_1', b'value_1') ......

### Apache Airflow version 2.9.1 ### What happened? ```python PythonOperator( task_id="test_2", python_callable=a, pool="pool_1", pool_slots="a", ) ``` airflow fail with ![Screenshot from 2024-05-15 14-34-18](https://github.com/apache/airflow/assets/10202690/1c3f581b-1d8e-433f-8024-ae9bebdb9566) but with ```python PythonOperator.partial( task_id="test", python_callable=a, pool="pool_1",...

kind:bug
area:dynamic-task-mapping

I would like to disable the tracking on specific endpoints with OTEL I would do ```python FastAPIInstrumentor.instrument_app(app=my_app, excluded_urls="/$,/health$,/openapi.json$") ``` but what is the equivalent with ```python newrelic.agent.initialize() ``` ? thank...

### Apache Airflow version 2.9.1 ### What happened? I tried with apache-airflow-providers-cncf-kubernetes 8.2.0 or 8.1.1 the KPO is missing some logs ( in defer or not ) example put this...

kind:bug
pending-response
area:core
needs-triage

currently the code is using the package `requests` and building manually the calls to the mlflow server there is a python MlflowClient part of the mlflow package that is wrapping...

enhancement

The package should only depend on `mlflow-skinny` by default to keep the package requirements minimals when using this airflow provider ```cfg install_requires = apache-airflow>=2.2.0 mlflow-skinny>=2.0 ```

enhancement