Spaces:
Running on Zero
Running on Zero
| """Download the prebuilt retrieval index from the Hugging Face Hub. | |
| The three index artefacts total ~455 MB -- far past GitHub's 100 MB per-file | |
| limit -- so they live in a Hub dataset repo instead of in git. The repo is | |
| private: the index carries the full extracted text of commercial textbooks, | |
| which is fine to hold locally and wrong to redistribute. Set HF_TOKEN (or run | |
| `huggingface-cli login`) with an account that can read it. | |
| Without the index the retriever has nothing to search. Building one from your | |
| own documents instead is `./run.sh --build-index`. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import os | |
| import sys | |
| from pathlib import Path | |
| from controlai_rag.index import INDEX_DIR | |
| REPO_ID = os.environ.get("CONTROLAI_INDEX_REPO", "atakankahya/controlai-rag-index") | |
| # chunks.json and bm25.pkl are the lexical side; embeddings.npz is the dense | |
| # side. Missing the last one degrades retrieval to BM25 silently, so it counts | |
| # as required here rather than optional. | |
| FILES = ("chunks.json", "bm25.pkl", "embeddings.npz") | |
| def fetch(index_dir: Path = INDEX_DIR, force: bool = False) -> Path: | |
| """Place the index files in `index_dir`, downloading what is missing.""" | |
| from huggingface_hub import hf_hub_download | |
| index_dir.mkdir(parents=True, exist_ok=True) | |
| for name in FILES: | |
| target = index_dir / name | |
| if target.exists() and not force: | |
| print(f" {name}: already present, skipping") | |
| continue | |
| print(f" {name}: downloading...", flush=True) | |
| cached = hf_hub_download( | |
| repo_id=REPO_ID, | |
| filename=name, | |
| repo_type="dataset", | |
| token=os.environ.get("HF_TOKEN"), | |
| ) | |
| # Copy rather than symlink into the cache: the index is mutated in place | |
| # by uploads (HybridRetriever.add_chunks) and by scripts/repair_*.py. | |
| target.write_bytes(Path(cached).read_bytes()) | |
| print(f" {name}: {target.stat().st_size / 1e6:.0f} MB") | |
| return index_dir | |
| def main() -> int: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument( | |
| "--force", action="store_true", help="re-download files that already exist" | |
| ) | |
| args = parser.parse_args() | |
| print(f"Fetching retrieval index from {REPO_ID}") | |
| try: | |
| fetch(force=args.force) | |
| except Exception as exc: # noqa: BLE001 - the message matters more than the type | |
| print(f"\nCould not fetch the index: {exc}", file=sys.stderr) | |
| print( | |
| "\nThe dataset repo is private. Authenticate with an account that can\n" | |
| "read it (`huggingface-cli login`, or set HF_TOKEN), or build your own\n" | |
| "index from data/user_docs/ with `./run.sh --build-index`.", | |
| file=sys.stderr, | |
| ) | |
| return 1 | |
| print("Index ready in", INDEX_DIR) | |
| return 0 | |
| if __name__ == "__main__": | |
| raise SystemExit(main()) | |