import argparse
import tempfile
import polars as pl
from pathlib import Path

from pipeline.utils import download

# Management information - state-funded schools - latest inspections (as at 28 Feb 2026)
# Source: https://www.gov.uk/government/statistical-data-sets/monthly-management-information-ofsteds-school-inspections-outcomes
URL = "https://assets.publishing.service.gov.uk/media/69c5269b4a06660f0854427b/Management_information_-_state-funded_schools_-_latest_inspections_as_at_28_Feb_2026.csv"


def convert_to_parquet(csv_path: Path, parquet_path: Path) -> None:
    print("Reading CSV...")

    df = pl.read_csv(
        csv_path,
        infer_schema_length=10000,
        encoding="utf8-lossy",
        null_values=["NULL", "Not applicable"],
    )

    print(f"Shape: {df.shape}")
    print(f"Columns: {df.columns}")

    df.write_parquet(parquet_path, compression="zstd")
    print(f"Saved to {parquet_path}")


def main() -> None:
    parser = argparse.ArgumentParser(
        description="Download Ofsted school inspection outcomes data"
    )
    parser.add_argument(
        "--output", type=Path, required=True, help="Output parquet file path"
    )
    args = parser.parse_args()

    with tempfile.TemporaryDirectory() as cache_dir:
        csv_path = Path(cache_dir) / "ofsted_latest_inspections.csv"
        download(URL, csv_path, timeout=60)
        convert_to_parquet(csv_path, args.output)


if __name__ == "__main__":
    main()