feat(sdmx): Add utilities to discover SDMX data #1679
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Adds a data discovery feature to the SDMX client and CLI, allowing users to list, search, and view details of dataflows. Includes unit tests and sample scripts for OECD and Eurostat.
Summary of ChangesHello @SandeepTuniki, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces significant enhancements to the SDMX client and command-line interface by adding robust data discovery capabilities. Users can now easily explore available dataflows from various SDMX endpoints, search for specific datasets, and view their detailed metadata, streamlining the process of identifying and understanding statistical data sources. This feature aims to make the SDMX client more user-friendly and efficient for data exploration. Highlights
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Code Review
This pull request introduces a data discovery feature to the SDMX client and CLI, enabling users to list, search, and view details of dataflows. It includes new sample scripts for OECD and Eurostat and adds a new command to the CLI. The changes involve adding new files for the sample scripts and tests, and modifying the sdmx_cli.py and sdmx_client.py files to implement the new functionality. The code appears well-structured and includes error handling and logging.
Addresses review comments by adding a null check in the sdmx client and replacing print statements with logging in the cli.
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/gemini review |
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/gemini review |
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Code Review
This pull request adds a useful data discovery feature to the SDMX client and CLI. The implementation is mostly solid, with new methods for listing, searching, and getting details for dataflows, along with corresponding unit tests and sample scripts.
I've identified a bug in get_dataflow_details where it incorrectly handles the response from the pandaSDMX library, causing it to fail for valid dataflows. The associated unit tests are also a bit misleading and don't catch this bug, so I've suggested improvements for them as well. Additionally, I've recommended a change to how the discovered dataflows are displayed in the CLI for better user experience.
Overall, these are great additions. Once the feedback is addressed, this will be a strong feature.
| sdmx.add_source(custom_source, override=True) | ||
| return sdmx.Client(source_id) | ||
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| def list_dataflows(self) -> List[Dict[str, Any]]: |
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We also need a util to search/dump across series within a dataflow.
…actored `get_dataflow_details` to robustly handle both DataFrame and Series return types from `sdmx.to_pandas` and to gracefully catch `HTTPError` for non-existent dataflows. Updated `handle_discover_dataflows` to print DataFrame output to stdout. Adjusted `sdmx_client_test.py` to reflect these changes with accurate mocks and imports.
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Re-created this PR in #1698. Closing this. |
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Adds a data discovery feature to the SDMX client and CLI, allowing users to list, search, and view details of dataflows. Includes unit tests and sample scripts for OECD and Eurostat.