import argparse import tempfile import polars as pl from pathlib import Path from pipeline.utils import download, extract_zip # Ofcom Connected Nations 2025 - Fixed broadband performance (output area & local authority level) # Source: https://www.ofcom.org.uk/phones-and-broadband/coverage-and-speeds/connected-nations-20252/data-downloads-2025 PERFORMANCE_URL = "https://www.ofcom.org.uk/siteassets/resources/documents/research-and-data/multi-sector/infrastructure-research/connected-nations-2025/202507_fixed_broadband_coverage_r01.zip?v=407830" def convert_to_parquet(extract_dir: Path, parquet_path: Path) -> None: # Find CSV files in the extracted directory csv_files = list(extract_dir.rglob("*.csv")) if not csv_files: raise FileNotFoundError(f"No CSV files found in {extract_dir}") print(f"Found {len(csv_files)} CSV files: {[f.name for f in csv_files]}") frames = [] for csv_file in sorted(csv_files): print(f"Reading {csv_file.name}...") df = pl.read_csv(csv_file, infer_schema_length=10000, encoding="utf8-lossy") print(f" Shape: {df.shape}") frames.append(df) combined = pl.concat(frames, how="diagonal_relaxed") print(f"Combined shape: {combined.shape}") parquet_path.parent.mkdir(parents=True, exist_ok=True) combined.write_parquet(parquet_path, compression="zstd") print(f"Saved {parquet_path} ({combined.shape[0]} rows)") def main() -> None: parser = argparse.ArgumentParser( description="Download Ofcom broadband performance data" ) parser.add_argument( "--output", type=Path, required=True, help="Output parquet file path", ) args = parser.parse_args() with tempfile.TemporaryDirectory() as cache_dir: cache = Path(cache_dir) zip_path = cache / "broadband_performance.zip" extract_dir = cache / "extracted" extracted_again_dir = cache / "extracted-again" download(PERFORMANCE_URL, zip_path) extract_zip(zip_path, extract_dir) extract_zip( extract_dir / "202507_fixed_coverage_r01" / "202507_fixed_pc_coverage_r01.zip", extracted_again_dir, ) convert_to_parquet(extracted_again_dir, args.output) if __name__ == "__main__": main()