43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import argparse
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import tempfile
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import polars as pl
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from pathlib import Path
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from pipeline.utils import download
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URL = "https://assets.publishing.service.gov.uk/media/691ded34513046b952c500bd/File_5_IoD2025_Scores_for_the_Indices_of_Deprivation.xlsx"
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def convert_to_parquet(xlsx_path: Path, parquet_path: Path) -> None:
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print("Reading Excel file (sheet 2)...")
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# Read the 2nd sheet (index 1) - IoD2025 Scores
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df = pl.read_excel(
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xlsx_path,
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sheet_id=2, # 1-indexed, so 2 = second sheet
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)
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print(f"Shape: {df.shape}")
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print(f"Columns: {df.columns}")
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df.write_parquet(parquet_path, compression="zstd")
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print(f"Saved to {parquet_path}")
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def main() -> None:
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parser = argparse.ArgumentParser(
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description="Download and convert Index of Deprivation data"
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)
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parser.add_argument(
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"--output", type=Path, required=True, help="Output parquet file path"
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)
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args = parser.parse_args()
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with tempfile.TemporaryDirectory() as cache_dir:
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xlsx_path = Path(cache_dir) / "IoD2025_Scores.xlsx"
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download(URL, xlsx_path, timeout=60)
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convert_to_parquet(xlsx_path, args.output)
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if __name__ == "__main__":
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main()
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