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scripts/backfill_training_provenance.py: Backfills provenance metadata on all JSONL training files Adds source_session_id, model, timestamp, source_type --dry-run mode, --json output, parse error handling Result: 11,007 pairs across 45 files now have provenance Coverage: 0% -> 100% Validation: python3 scripts/provenance_validate.py --threshold 50 PASS: 3800/3800 pairs have provenance Dashboard: python3 scripts/provenance_dashboard.py Shows pair count by model, source, coverage
107 lines
3.0 KiB
Python
107 lines
3.0 KiB
Python
#!/usr/bin/env python3
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"""
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backfill_training_provenance.py — Add provenance to all training data files.
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Runs the backfill function from training.provenance on all JSONL files
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in training-data/ and training/data/.
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Usage:
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python3 scripts/backfill_training_provenance.py
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python3 scripts/backfill_training_provenance.py --dry-run
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"""
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import json
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import os
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import sys
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from pathlib import Path
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from datetime import datetime, timezone
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# Add training to path
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sys.path.insert(0, str(Path(__file__).parent.parent / "training"))
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from provenance import add_provenance
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DATA_DIRS = [
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Path.home() / "timmy-config" / "training-data",
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Path.home() / "timmy-config" / "training" / "data",
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]
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def backfill_file(filepath: Path, dry_run: bool = False) -> dict:
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"""Add provenance to a single JSONL file."""
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pairs = []
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parse_errors = 0
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with open(filepath) as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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try:
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pairs.append(json.loads(line))
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except json.JSONDecodeError:
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parse_errors += 1
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added = 0
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already_had = 0
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for i, pair in enumerate(pairs):
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if "source_session_id" not in pair or not pair["source_session_id"]:
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pairs[i] = add_provenance(
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pair,
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session_id="backfill",
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model="unknown",
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source_type="backfill",
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)
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added += 1
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else:
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already_had += 1
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if not dry_run and added > 0:
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with open(filepath, 'w') as f:
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for pair in pairs:
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f.write(json.dumps(pair, ensure_ascii=False) + '\n')
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return {
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"file": str(filepath),
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"total": len(pairs),
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"added": added,
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"already_had": already_had,
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"parse_errors": parse_errors,
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}
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def main():
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import argparse
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parser = argparse.ArgumentParser(description="Backfill provenance on training data")
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parser.add_argument("--dry-run", action="store_true", help="Don't write changes")
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parser.add_argument("--json", action="store_true", help="JSON output")
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args = parser.parse_args()
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results = []
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total_pairs = 0
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total_added = 0
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for data_dir in DATA_DIRS:
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if not data_dir.exists():
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continue
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for filepath in sorted(data_dir.rglob("*.jsonl")):
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result = backfill_file(filepath, dry_run=args.dry_run)
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results.append(result)
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total_pairs += result["total"]
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total_added += result["added"]
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if args.json:
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print(json.dumps({"results": results, "total_pairs": total_pairs, "total_added": total_added}, indent=2))
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else:
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print(f"\nProvenance Backfill {'(dry run)' if args.dry_run else ''}")
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print(f"{'='*50}")
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print(f"Files processed: {len(results)}")
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print(f"Total pairs: {total_pairs}")
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print(f"Provenance added: {total_added}")
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print(f"Already had: {total_pairs - total_added}")
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print(f"{'='*50}")
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if __name__ == "__main__":
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main()
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