c762564d40
- Fix 71 invalid-syntax files (class-body newline-broken assignments) - Add from/None chain to 307 B904 raise-without-from sites - Add B008 ignore to ruff.toml (already in pyproject.toml) - Noqa F401 on __init__.py re-exports (137 sites) - Noqa E402 on deferred imports (63 sites) - Bulk-add stdlib/FastAPI/project imports for F821 (127 sites) - Replace ×→x, –→-, …→... in docstrings (4093 chars) - Manual refactor of 5 SIM103/SIM116 patterns Tests: 791 passed (66 deselected due to pre-existing Redis issues in test_rag.py) Co-authored-by: opencode <opencode@rugmunch.io>
113 lines
3.6 KiB
Python
113 lines
3.6 KiB
Python
#!/usr/bin/env python3
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"""Ingest research papers from /root/backend/data/papers/ into RAG forensic_reports."""
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import hashlib
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import json
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import os
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import httpx
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PAPERS_DIR = "/root/backend/data/papers"
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METADATA_FILE = f"{PAPERS_DIR}/papers_metadata.json"
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RAG_API = "http://localhost:8000/api/v1/rag/ingest"
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CHUNK_SIZE = 2500
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CHUNK_OVERLAP = 300
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def main():
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with open(METADATA_FILE) as f:
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metadata = json.load(f)
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pdfs = sorted([f for f in os.listdir(PAPERS_DIR) if f.endswith(".pdf")])
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print(f"Found {len(pdfs)} PDFs, {len(metadata)} metadata entries")
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ingested = 0
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chunks_total = 0
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errors = 0
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for pdf_file in pdfs:
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arxiv_id = pdf_file.replace(".pdf", "")
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meta = metadata.get(arxiv_id, {})
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# Extract text with pymupdf
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try:
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import fitz
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doc = fitz.open(os.path.join(PAPERS_DIR, pdf_file))
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text = ""
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for page in doc:
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text += page.get_text() + "\n"
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doc.close()
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except Exception as e:
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print(f" SKIP {arxiv_id}: extract failed: {e}")
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errors += 1
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continue
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if len(text.strip()) < 200:
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print(f" SKIP {arxiv_id}: too short ({len(text)} chars)")
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errors += 1
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continue
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# Chunk it
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chunks = []
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start = 0
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while start < len(text):
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end = min(start + CHUNK_SIZE, len(text))
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chunk_text = text[start:end].strip()
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if len(chunk_text) > 100:
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chunks.append(chunk_text)
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start += CHUNK_SIZE - CHUNK_OVERLAP
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# Ingest each chunk
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title = meta.get("title", arxiv_id)
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attack_types = meta.get("attack_types", [])
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authors_list = meta.get("authors", [])
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collection = meta.get("collection", "forensic_reports")
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success = 0
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for i, chunk in enumerate(chunks):
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doc_id = hashlib.sha256(f"{arxiv_id}:chunk:{i}".encode()).hexdigest()[:16]
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payload = {
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"collection": collection,
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"content": chunk,
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"metadata": {
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"arxiv_id": arxiv_id,
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"title": title,
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"authors": ", ".join(authors_list[:3]) if isinstance(authors_list, list) else str(authors_list),
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"attack_types": ", ".join(attack_types) if isinstance(attack_types, list) else str(attack_types),
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"chunk_index": i,
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"total_chunks": len(chunks),
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"source": "research_paper",
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"doc_id": doc_id,
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},
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}
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try:
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resp = httpx.post(RAG_API, json=payload, timeout=30)
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if resp.status_code == 200:
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success += 1
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else:
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if errors < 5:
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print(f" ERR {arxiv_id} chunk {i}: {resp.status_code} {resp.text[:100]}")
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errors += 1
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except Exception as e:
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if errors < 5:
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print(f" ERR {arxiv_id} chunk {i}: {e}")
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errors += 1
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chunks_total += success
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ingested += 1
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if arxiv_id not in metadata:
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metadata[arxiv_id] = {}
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metadata[arxiv_id]["ingested"] = True
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metadata[arxiv_id]["chunk_count"] = success
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print(f" {arxiv_id}: {len(chunks)} chunks, {success} ingested - {title[:50]}")
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# Save updated metadata
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with open(METADATA_FILE, "w") as f:
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json.dump(metadata, f, indent=2)
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print(f"\nDONE: {ingested} papers, {chunks_total} total chunks, {errors} errors")
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if __name__ == "__main__":
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main()
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