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Download scripts/fetch_apollo_data.py from Wil2200/prefero: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Wil2200/prefero/resolve/main/scripts/fetch_apollo_data.py
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hf download hf://spaces/Wil2200/prefero/scripts/fetch_apollo_data.py
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curl -L -o fetch_apollo_data.py https://huggingface.co/spaces/Wil2200/prefero/resolve/main/scripts/fetch_apollo_data.py
1.74 kB
| #!/usr/bin/env python3 | |
| from __future__ import annotations | |
| import argparse | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parents[1] | |
| SRC = ROOT / "src" | |
| if str(SRC) not in sys.path: | |
| sys.path.insert(0, str(SRC)) | |
| from dce_analyzer.apollo import APOLLO_DATASETS, load_apollo_long # noqa: E402 | |
| def parse_args() -> argparse.Namespace: | |
| parser = argparse.ArgumentParser( | |
| description="Download Apollo example data and convert to long format." | |
| ) | |
| parser.add_argument( | |
| "--dataset", | |
| choices=sorted(APOLLO_DATASETS.keys()), | |
| default="swiss_route_choice", | |
| ) | |
| parser.add_argument( | |
| "--raw-out", | |
| type=Path, | |
| default=None, | |
| help="Optional raw CSV output path.", | |
| ) | |
| parser.add_argument( | |
| "--long-out", | |
| type=Path, | |
| default=None, | |
| help="Optional long CSV output path.", | |
| ) | |
| return parser.parse_args() | |
| def default_outputs(dataset: str) -> tuple[Path, Path]: | |
| raw = Path(f"data/raw/apollo_{dataset}.csv") | |
| long = Path(f"data/processed/apollo_{dataset}_long.csv") | |
| return raw, long | |
| def main() -> None: | |
| args = parse_args() | |
| raw_default, long_default = default_outputs(args.dataset) | |
| raw_out = args.raw_out or raw_default | |
| long_out = args.long_out or long_default | |
| long_df = load_apollo_long( | |
| dataset=args.dataset, | |
| raw_output_path=raw_out, | |
| long_output_path=long_out, | |
| ) | |
| print(f"Dataset: {args.dataset}") | |
| print(f"Saved raw Apollo file: {raw_out}") | |
| print(f"Saved long-format file: {long_out}") | |
| print(f"Long-format shape: {long_df.shape}") | |
| print("Columns:") | |
| print(", ".join(long_df.columns)) | |
| if __name__ == "__main__": | |
| main() | |