atul-astronomer opened a new issue, #63442:
URL: https://github.com/apache/airflow/issues/63442

   ### Apache Airflow version
   
   main (development)
   
   ### If "Other Airflow 3 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   ```typescript
   Error updating Task Instance state. Setting the task to failed. 
[airflow.api_fastapi.execution_api.routes.task_instances] 
correlation_id=019ce219-95ba-7385-a884-654528bf7b8a loc=task_instances.py:356 
paylo
   ad=TISuccessStatePayload(state=<TerminalTIState.SUCCESS: 'success'>, 
end_date=datetime.datetime(2026, 3, 12, 12, 50, 53, 497531, 
tzinfo=Timezone('UTC')), 
task_outlets=[AssetProfile(name='file://aip76/hourly_asset.csv', 
uri='file://aip76/hourly_a
   sset.csv', type='Asset')], outlet_events=[], rendered_map_index=None) 
ti_id=019ce219-8f39-7197-a3e5-03e7b52c48ff
   Traceback (most recent call last):
     File 
"/opt/airflow/airflow-core/src/airflow/api_fastapi/execution_api/routes/task_instances.py",
 line 346, in ti_update_state
       query, updated_state = _create_ti_state_update_query_and_update_state(
     File 
"/opt/airflow/airflow-core/src/airflow/api_fastapi/execution_api/routes/task_instances.py",
 line 425, in _create_ti_state_update_query_and_update_state
       TI.register_asset_changes_in_db(
     File "/opt/airflow/airflow-core/src/airflow/utils/session.py", line 98, in 
wrapper
       return func(*args, **kwargs)
     File "/opt/airflow/airflow-core/src/airflow/models/taskinstance.py", line 
1390, in register_asset_changes_in_db
       asset_manager.register_asset_change(
     File "/opt/airflow/airflow-core/src/airflow/assets/manager.py", line 295, 
in register_asset_change
       cls._queue_dagruns(
     File "/opt/airflow/airflow-core/src/airflow/assets/manager.py", line 355, 
in _queue_dagruns
       cls._queue_partitioned_dags(
     File "/opt/airflow/airflow-core/src/airflow/assets/manager.py", line 419, 
in _queue_partitioned_dags
       ).to_downstream(partition_key)
     File 
"/opt/airflow/airflow-core/src/airflow/partition_mappers/temporal.py", line 40, 
in to_downstream
       dt = datetime.strptime(key, self.input_format)
     File "/usr/python/lib/python3.10/_strptime.py", line 568, in 
_strptime_datetime
       tt, fraction, gmtoff_fraction = _strptime(data_string, format)
     File "/usr/python/lib/python3.10/_strptime.py", line 349, in _strptime
       raise ValueError("time data %r does not match format %r" %
   ValueError: time data '2026-01-01T00' does not match format 
'%Y-%m-%dT%H:%M:%S'
   ``` 
   
   ### What you think should happen instead?
   
   _No response_
   
   ### How to reproduce
   
   Trigger the below Dag with partition key '2026-01-01T00'
   
   ```python
   from datetime import datetime
   from airflow import DAG
   from airflow.sdk import Asset, CronPartitionTimetable, 
PartitionedAssetTimetable, HourlyMapper, DailyMapper, YearlyMapper
   from airflow.decorators import task
   from airflow.sdk import get_current_context
   
   hourly_asset = Asset(uri="file://aip76/hourly_asset.csv")
   
   with DAG(
       dag_id="test_hourly_mapper_producer",
       start_date=datetime(2026,1,1),
       schedule=CronPartitionTimetable("0 * * * *", timezone="UTC"),
       catchup=False,
   ) as producer:
   
       @task(outlets=[hourly_asset])
       def produce():
           ctx = get_current_context()
           print("Producer partition:", ctx["dag_run"].partition_key)
   
       produce()
   
   
   with DAG(
       dag_id="test_hourly_mapper_consumer",
       start_date=datetime(2026,1,1),
       schedule=PartitionedAssetTimetable(
           assets=hourly_asset,
           default_partition_mapper=YearlyMapper(),
       ),
       catchup=False,
   ) as consumer:
   
       @task
       def consume():
           ctx = get_current_context()
           print("Consumer partition:", ctx["dag_run"].partition_key)
   
       consume()
   
   ``` 
   
   ### Operating System
   
   Linux
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Other
   
   ### Deployment details
   
   _No response_
   
   ### Anything else?
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [ ] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [x] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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