Summary:

Added a dataset_id parameter to rebuild_missing_dataset_files to rebuild a specific dataset.
Corrected a problem where the last datasets were not processed if the count was not a multiple of 5.

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This pull request adds support for processing a specific GTFS dataset by its stable ID in the dataset files rebuilding workflow. The changes update both the main logic and documentation, and introduce new tests to verify this functionality.

Feature: Process a specific dataset by ID

• Added a new dataset_id parameter to the payload for the dataset files rebuild function, allowing the process to target a single dataset and supersede the after_date and latest_only parameters. The documentation in README.md was updated to explain usage and behavior. [1] [2] [3]
• Updated the handler and main function in rebuild_missing_dataset_files.py to accept and forward the dataset_id parameter, and changed the dataset selection logic to query by stable ID when provided. [1] [2] [3]
• Modified message publishing logic to handle the case where only one dataset is processed, ensuring correct batching and logging. [1] [2]
• Updated the result summary to include the dataset_id parameter for clarity.

Testing improvements

• Added new unit tests in test_rebuild_missing_dataset_files.py to verify that the handler and main function correctly process the dataset_id parameter, including tests for payload forwarding and message publishing behavior when a specific dataset is targeted. [1] [2] [3]

These changes make the dataset files rebuilding workflow more flexible and testable, allowing targeted processing for debugging or special cases.

the tips AND to try anything they deem relevant outside the bounds of the testing tips.

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