feat(sdmx): Add SDMX client with custom endpoint and usage samples#1601
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This commit adds a new SDMX tools module with utilities to fetch metadata and data from SDMX APIs. It also updates the requirements to include the sdmx1 package.
This commit refactors the SDMX utility functions to address review comments. It replaces print statements with logging, improves error handling by allowing exceptions to propagate, and adds type hints for better code clarity.
This commit addresses review comments by: - Renaming `utils.py` to `dataflow.py`. - Adding the request URL to the success logs. - Providing more context in error logs. - Generalizing a log message to be format-agnostic.
This commit adds a new `samples` directory to the `tools/sdmx` module. It includes scripts that demonstrate how to use the dataflow utilities to fetch data and metadata from both OECD and Eurostat, along with a README explaining how to run them.
This commit refactors the SDMX utilities to accept a REST endpoint URL instead of a `client_id`. This decouples the utilities from the `sdmx1` librarys internal source list, allowing them to be used with any SDMX-compliant API. The sample scripts have been updated to reflect this new, more flexible approach. A new sample for fetching Eurostat metadata has also been added.
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Summary of Changes
Hello @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 significantly enhances the flexibility of the SDMX data utility by enabling connections to arbitrary SDMX REST endpoints, moving beyond hardcoded client IDs. This change broadens the applicability of the module, allowing users to interact with a wider range of data sources. Additionally, a comprehensive set of sample scripts has been introduced to guide users on how to effectively utilize these newly generalized functions for various data fetching scenarios.
Highlights
- Custom SDMX Endpoints: The core SDMX utility functions,
fetch_and_save_metadataandfetch_and_save_data_as_csvintools/sdmx/dataflow.py, now accept a genericendpointURL parameter instead of a hardcodedclient_id. This refactoring allows the module to connect to any SDMX-compliant API by dynamically creatingsdmx.Clientsources. - New Sample Scripts: A new
tools/sdmx/samples/directory has been introduced, containing a set of example Python scripts. These scripts demonstrate how to fetch data and metadata from both OECD and Eurostat SDMX APIs, showcasing the flexibility of the newly generalized functions. - Improved Error Handling: The SDMX utility functions now include enhanced error handling. When an
HTTPErroroccurs during data or metadata fetching, the raw HTTP response content is saved to a local HTML file (e.g.,metadata_error_*.htmlordata_error_*.html) for easier debugging and inspection of the API's error message.
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Code Review
This pull request is a great enhancement, refactoring the SDMX utilities to support custom endpoints and adding helpful sample scripts. The code is well-structured and the changes align with the PR's goal. My review focuses on a few key areas:
- A potential bug in how SDMX clients are cached, which could lead to using incorrect endpoints.
- Improving the robustness of error handling by sanitizing filenames.
- Best practices for the new sample scripts, including managing output files and handling exceptions correctly to ensure proper exit codes on failure.
Overall, these are solid changes and the feedback below should help make the utilities and samples even more robust and maintainable.
This commit addresses review comments by: - Refactoring the client creation logic into a helper function to fix a caching bug and remove duplication. - Sanitizing the `dataflow_id` for use in filenames. - Modifying the sample scripts to write their output to a dedicated `output/` directory. - Removing redundant `try...except` blocks from the sample scripts and ensuring non-zero exit codes on failure.
This commit addresses all outstanding review comments by: - Refactoring the SDMX utilities into an `SdmxClient` class to improve design and remove duplication. - Sanitizing the `dataflow_id` for use in filenames. - Modifying the sample scripts to write their output to a dedicated `output/` directory within the samples folder. - Removing redundant `try...except` blocks from the sample scripts and ensuring non-zero exit codes on failure.
SandeepTuniki
changed the title
- Rename sdmx module to sdmx_import to avoid conflicts - Rename dataflow.py to sdmx_client.py - Rename methods in SdmxClient and update call sites - Add more logging to download_data_as_csv
2 participants
(Note: This PR is an alternate option for #1600. Only one of these is necessary)
This pull request introduces a
SdmxClientfor interacting with SDMX APIs and adds a set of sample scripts to demonstrate its use.This new approach also supports any custom SDMX REST endpoint and improves error handling.
Key Changes:
SdmxClientClass (tools/sdmx_import/sdmx_client.py):SdmxClientclass. This encapsulates the client creation logic, manages state, and provides a cleaner API.endpointandagency_id, making it capable of connecting to any SDMX-compliant source.Improved Error Handling:
dataflow_idcontains special characters (e.g.,@).Sample Scripts (
tools/sdmx_import/samples/):README.mdhas been added to thesamplesdirectory, explaining the purpose of each script and how to run them.