import zipfile import httpx import polars as pl from pathlib import Path from tqdm import tqdm URL = "https://www.arcgis.com/sharing/rest/content/items/077631e063eb4e1ab43575d01381ec33/data" BASE_DATA_PATH = Path("./data_sources") BASE_DATA_PATH.mkdir(exist_ok=True) DOWNLOAD_PATH = BASE_DATA_PATH / "arcgis_data.zip" EXTRACT_PATH = BASE_DATA_PATH / "arcgis_extracted" PARQUET_PATH = BASE_DATA_PATH / "arcgis_data.parquet" def download_with_progress(url: str, output_path: Path) -> None: with httpx.stream( "GET", url, follow_redirects=True, timeout=httpx.Timeout(30.0, read=None), ) as response: response.raise_for_status() # pyright: ignore[reportUnusedCallResult] total = int(response.headers.get("content-length", 0)) with ( open(output_path, "wb") as f, tqdm( total=total, unit="B", unit_scale=True, unit_divisor=1024, desc="Downloading", ) as pbar, ): for chunk in response.iter_bytes(chunk_size=8192): f.write(chunk) pbar.update(len(chunk)) return def extract_zip(zip_path: Path, extract_path: Path) -> None: extract_path.mkdir(exist_ok=True) with zipfile.ZipFile(zip_path, "r") as zf: zf.extractall(extract_path) def convert_to_parquet(data_path: Path, parquet_path: Path) -> None: df = pl.scan_csv(data_path / 'Data/NSPL_MAY_2025_UK.csv', try_parse_dates=True) print(f"Columns: {df.columns}") df.sink_parquet(parquet_path, compression="zstd") print(f"Saved to {parquet_path}") def main() -> None: if PARQUET_PATH.exists(): print(f"Parquet already exists at {PARQUET_PATH}, skipping") return if not DOWNLOAD_PATH.exists(): download_with_progress(URL, DOWNLOAD_PATH) else: print(f"File already exists at {DOWNLOAD_PATH}, skipping download") extract_zip(DOWNLOAD_PATH, EXTRACT_PATH) convert_to_parquet(EXTRACT_PATH, PARQUET_PATH) if __name__ == "__main__": main()