92 lines
2.4 KiB
Python
92 lines
2.4 KiB
Python
import argparse
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import tempfile
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import httpx
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import polars as pl
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from pathlib import Path
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from tqdm import tqdm
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URL = "http://prod.publicdata.landregistry.gov.uk.s3-website-eu-west-1.amazonaws.com/pp-complete.csv"
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def download_with_progress(url: str, output_path: Path) -> None:
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with httpx.stream(
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"GET",
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url,
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follow_redirects=True,
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timeout=httpx.Timeout(30.0, read=None),
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) as response:
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response.raise_for_status() # pyright: ignore[reportUnusedCallResult]
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total = int(response.headers.get("content-length", 0))
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with (
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open(output_path, "wb") as f,
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tqdm(
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total=total,
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unit="B",
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unit_scale=True,
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unit_divisor=1024,
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desc="Downloading",
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) as pbar,
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):
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for chunk in response.iter_bytes(chunk_size=8192):
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f.write(chunk)
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pbar.update(len(chunk))
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return
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def convert_to_parquet(csv_path: Path, parquet_path: Path) -> None:
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"""Convert CSV to Parquet using Polars."""
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print("Converting to Parquet...")
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# https://www.gov.uk/guidance/about-the-price-paid-data
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# Land Registry CSV columns
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columns = [
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"transaction_id",
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"price",
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"date_of_transfer",
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"postcode",
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"property_type",
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"old_new",
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"duration",
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"paon",
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"saon",
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"street",
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"locality",
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"town_city",
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"district",
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"county",
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"ppd_category",
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"record_status",
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]
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df = pl.read_csv(
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csv_path,
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has_header=False,
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new_columns=columns,
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try_parse_dates=True,
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)
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parquet_path.parent.mkdir(parents=True, exist_ok=True)
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print(f"Columns: {df.collect_schema().names()}")
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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 Land Registry price-paid 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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csv_path = Path(cache_dir) / "price-paid-complete.csv"
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download_with_progress(URL, csv_path)
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convert_to_parquet(csv_path, args.output)
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if __name__ == "__main__":
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main()
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