jason810496 opened a new pull request, #69816:
URL: https://github.com/apache/airflow/pull/69816

   - related: #67056
   
   ## Why
   
   #67056 decoupled remote logging from the hardcoded branches in 
`airflow_local_settings.py`: core and the Task SDK now resolve the handler via 
ProvidersManager dispatch on the `[logging] remote_base_log_folder` URL scheme, 
instantiating the provider class through a no-arg `from_config()` classmethod. 
This migrates the `cloudwatch` scheme.
   
   ## What
   
   - Add `CloudWatchRemoteLogIO.from_config()`, mirroring the legacy 
`airflow_local_settings.py` branch — parsing `log_group_arn` from the URL (with 
a clear `ValueError` when no ARN can be derived), merging `[logging] 
remote_task_handler_kwargs` IO-kwargs, and applying `expanduser` on 
`base_log_folder`, so behavior is unchanged for existing configs.
   - Register the `cloudwatch` scheme in the amazon `provider.yaml` 
`remote-logging:` section (with regenerated `get_provider_info.py`).
   - The legacy `_default_conn_name_from(AwsLogsHook)` side effect is 
intentionally not ported: per #67056, provider dispatch produces no default 
conn id — the IO's hook reads `[logging] remote_log_conn_id` directly.
   
   A sibling PR migrates the `s3` scheme the same way; whichever merges second 
needs a trivial rebase of the new `remote-logging:` section. If `from_config` 
raises on a bad config, the shared factory falls back to the legacy path, so 
this is not a breaking change.
   
   ---
   
   ##### Was generative AI tooling used to co-author this PR?
   
   - [x] Yes, with help of Claude Code Fable 5 following [the 
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
   


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