Poland census: move stat_var_mcf to root and update manifest

[abhishekjaisw]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @abhishekjaisw, 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 upgrades the Poland census data import by introducing a rich set of statistical variables, allowing for more granular analysis of population demographics based on age, gender, and residential location. Concurrently, it modernizes the data acquisition process by shifting the raw data source from a local file system to a Google Cloud Storage bucket, thereby improving the reliability and maintainability of the data pipeline.

Highlights

• New Statistical Variables: A new file, StatisticsPoland_output_stat_vars.mcf, has been added, defining a comprehensive set of statistical variables for Poland census data. These variables cover population counts segmented by various age groups, gender (male/female), and place of residence (rural/urban).
• Data Source Transition to GCS: The download_input_data.py script has been updated to fetch the raw Excel input file directly from a Google Cloud Storage (GCS) bucket using gsutil. This replaces the previous method of reading from a local file, enhancing the data pipeline's robustness and scalability.
• Manifest Update: The manifest.json file has been modified to include a reference to the newly added StatisticsPoland_output_stat_vars.mcf file. This ensures that the new statistical variable definitions are properly integrated into the data import process.

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[gemini-code-assist]

Code Review

This pull request moves the auto-generated statistical variable MCF file to the root of the import directory and updates the manifest accordingly, while also refactoring the download_input_data.py script to fetch source data from Google Cloud Storage. All original suggestions for improving code quality and robustness, including cleaning up auto-generated comments, using more specific exception handling, and ensuring temporary files are always cleaned up, remain valid and are recommended.

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statvar_imports/statistics_poland/StatisticsPoland_output_stat_vars.mcf (1)

The auto-generation comment includes a user-specific absolute path (/usr/local/google/home/abhishekjaisw/Desktop/data/...). This can be confusing and leaks information about the local environment. It's better to use relative paths or a more generic command in this comment. Consider updating the generation script to produce a cleaner path.

# Auto generated using command: "../../tools/statvar_importer/stat_var_processor.py --input_data=poland_input/StatisticsPoland_input.csv --pv_map=StatisticsPoland_pvmap.csv --config_file=Statistics_Poland_metadata.csv --output_path=poland_output/StatisticsPoland_output" on 2026-01-29 13:18:54.678653

statvar_imports/statistics_poland/download_input_data.py (30)

Catching a broad Exception is generally discouraged as it can hide bugs. It's better to catch more specific exceptions. In this case, subprocess.check_call can raise subprocess.CalledProcessError if the command returns a non-zero exit code, or FileNotFoundError if the gsutil command is not found. Consider catching these specific exceptions to make the error handling more robust.

    except (subprocess.CalledProcessError, FileNotFoundError) as e: