71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
import zipfile
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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 = "https://www.arcgis.com/sharing/rest/content/items/077631e063eb4e1ab43575d01381ec33/data"
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BASE_DATA_PATH = Path("./data_sources")
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BASE_DATA_PATH.mkdir(exist_ok=True)
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DOWNLOAD_PATH = BASE_DATA_PATH / "arcgis_data.zip"
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EXTRACT_PATH = BASE_DATA_PATH / "arcgis_extracted"
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PARQUET_PATH = BASE_DATA_PATH / "arcgis_data.parquet"
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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 extract_zip(zip_path: Path, extract_path: Path) -> None:
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extract_path.mkdir(exist_ok=True)
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with zipfile.ZipFile(zip_path, "r") as zf:
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zf.extractall(extract_path)
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def convert_to_parquet(data_path: Path, parquet_path: Path) -> None:
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df = pl.scan_csv(data_path / 'Data/NSPL_MAY_2025_UK.csv', try_parse_dates=True)
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print(f"Columns: {df.columns}")
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df.sink_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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if PARQUET_PATH.exists():
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print(f"Parquet already exists at {PARQUET_PATH}, skipping")
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return
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if not DOWNLOAD_PATH.exists():
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download_with_progress(URL, DOWNLOAD_PATH)
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else:
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print(f"File already exists at {DOWNLOAD_PATH}, skipping download")
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extract_zip(DOWNLOAD_PATH, EXTRACT_PATH)
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convert_to_parquet(EXTRACT_PATH, PARQUET_PATH)
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if __name__ == "__main__":
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main()
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