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burn/17-se
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feat/92-kn
| Author | SHA1 | Date | |
|---|---|---|---|
| 20a59d0cb7 |
221
scripts/knowledge_staleness_check.py
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221
scripts/knowledge_staleness_check.py
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@@ -0,0 +1,221 @@
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#!/usr/bin/env python3
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"""
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Knowledge Store Staleness Detector
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Checks knowledge entries against their source files to detect staleness.
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An entry is stale when its source file has been modified since extraction.
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Usage:
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python3 scripts/knowledge_staleness_check.py knowledge/index.json
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python3 scripts/knowledge_staleness_check.py --repo /path/to/repo --index knowledge/index.json
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python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
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Expected index.json format:
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{
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"version": 1,
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"facts": [
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{
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"fact": "...",
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"category": "fact|pitfall|pattern|tool-quirk",
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"repo": "repo-name",
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"confidence": 0.8,
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"source_file": "path/to/file.py",
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"source_hash": "sha256:abcdef...",
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"extracted_at": "2026-04-13T20:00:00Z"
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}
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]
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}
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"""
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import argparse
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import hashlib
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import json
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import sys
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from pathlib import Path
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from typing import Optional
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def compute_file_hash(filepath: str) -> Optional[str]:
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"""Compute SHA-256 hash of a file. Returns None if file not found."""
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path = Path(filepath)
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if not path.exists():
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return None
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content = path.read_bytes()
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return hashlib.sha256(content).hexdigest()[:16]
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def check_staleness(index_path: str, repo_root: str = None) -> dict:
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"""Check all entries in the knowledge index for staleness."""
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index = Path(index_path)
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if not index.exists():
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return {"error": f"Index not found: {index_path}"}
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data = json.loads(index.read_text())
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facts = data.get("facts", [])
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if not facts:
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return {
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"total": 0,
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"stale": 0,
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"fresh": 0,
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"no_source": 0,
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"missing_files": 0,
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"stale_entries": [],
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}
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# Determine repo root
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if repo_root:
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root = Path(repo_root)
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else:
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root = index.parent.parent # knowledge/index.json -> repo root
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results = {
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"total": len(facts),
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"stale": 0,
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"fresh": 0,
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"no_source": 0,
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"missing_files": 0,
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"stale_entries": [],
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}
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for i, entry in enumerate(facts):
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source_file = entry.get("source_file")
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stored_hash = entry.get("source_hash")
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if not source_file:
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results["no_source"] += 1
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continue
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if not stored_hash:
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# Entry has source file but no hash — consider stale
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results["stale"] += 1
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results["stale_entries"].append({
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"index": i,
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"fact": entry.get("fact", "")[:100],
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"source_file": source_file,
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"reason": "no_hash",
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})
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continue
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# Compute current hash
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full_path = root / source_file
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current_hash = compute_file_hash(str(full_path))
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if current_hash is None:
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results["missing_files"] += 1
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results["stale_entries"].append({
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"index": i,
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"fact": entry.get("fact", "")[:100],
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"source_file": source_file,
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"reason": "file_missing",
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})
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elif current_hash != stored_hash:
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results["stale"] += 1
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results["stale_entries"].append({
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"index": i,
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"fact": entry.get("fact", "")[:100],
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"source_file": source_file,
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"stored_hash": stored_hash,
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"current_hash": current_hash,
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"reason": "hash_mismatch",
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})
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else:
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results["fresh"] += 1
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return results
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def add_hashes_to_index(index_path: str, repo_root: str = None) -> dict:
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"""Add source hashes to entries that are missing them."""
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index = Path(index_path)
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data = json.loads(index.read_text())
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facts = data.get("facts", [])
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if repo_root:
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root = Path(repo_root)
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else:
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root = index.parent.parent
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updated = 0
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skipped = 0
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for entry in facts:
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source_file = entry.get("source_file")
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if not source_file or entry.get("source_hash"):
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skipped += 1
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continue
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full_path = root / source_file
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file_hash = compute_file_hash(str(full_path))
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if file_hash:
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entry["source_hash"] = file_hash
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updated += 1
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if updated > 0:
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index.write_text(json.dumps(data, indent=2) + "\n")
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return {"updated": updated, "skipped": skipped, "total": len(facts)}
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def report_staleness(results: dict) -> str:
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"""Format staleness check results as a report."""
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lines = []
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lines.append("=" * 50)
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lines.append("KNOWLEDGE STORE STALENESS REPORT")
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lines.append("=" * 50)
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lines.append(f"Total entries: {results['total']}")
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lines.append(f"Fresh: {results['fresh']}")
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lines.append(f"Stale: {results['stale']}")
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lines.append(f"No source: {results['no_source']}")
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lines.append(f"Missing files: {results['missing_files']}")
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lines.append("")
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if results["stale_entries"]:
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lines.append("STALE ENTRIES:")
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lines.append("-" * 50)
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for entry in results["stale_entries"]:
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lines.append(f" [{entry['reason']}] {entry['source_file']}")
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lines.append(f" {entry['fact']}")
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if entry.get("stored_hash") and entry.get("current_hash"):
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lines.append(f" stored: {entry['stored_hash']}")
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lines.append(f" current: {entry['current_hash']}")
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lines.append("")
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if results["total"] > 0:
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staleness_pct = results["stale"] / results["total"] * 100
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lines.append(f"Staleness rate: {staleness_pct:.1f}%")
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else:
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lines.append("No entries to check.")
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return "\n".join(lines)
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def main():
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parser = argparse.ArgumentParser(description="Check knowledge store for stale entries")
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parser.add_argument("--index", default="knowledge/index.json", help="Path to index.json")
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parser.add_argument("--repo", help="Repository root (default: auto-detect from index path)")
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parser.add_argument("--fix", action="store_true", help="Add missing hashes to index")
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parser.add_argument("--json", action="store_true", help="Output JSON instead of report")
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args = parser.parse_args()
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if args.fix:
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result = add_hashes_to_index(args.index, args.repo)
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if args.json:
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print(json.dumps(result, indent=2))
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else:
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print(f"Updated {result['updated']} entries with source hashes.")
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print(f"Skipped {result['skipped']} (already had hashes or no source file).")
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else:
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results = check_staleness(args.index, args.repo)
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if "error" in results:
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print(f"Error: {results['error']}", file=sys.stderr)
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sys.exit(1)
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if args.json:
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print(json.dumps(results, indent=2))
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else:
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print(report_staleness(results))
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if __name__ == "__main__":
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main()
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@@ -1,353 +0,0 @@
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#!/usr/bin/env python3
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"""
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sampler.py — Score and rank sessions by harvest value.
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With 20k+ sessions on disk, we can't harvest all at once. This script
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scores each session by how likely it is to contain valuable knowledge,
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so the harvester processes the best ones first.
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Scoring strategy:
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- Recency: last 7d=3pts, last 30d=2pts, older=1pt
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- Length: >50 messages=3pts, >20=2pts, <20=1pt
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- Repo uniqueness: first session for a repo=5pts, otherwise=1pt
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- Outcome: failure=3pts (most to learn), success=2pts, unknown=1pt
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- Tool calls: >10 tool invocations=2pts (complex sessions)
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Usage:
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python3 sampler.py --count 100 # Top 100 sessions
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python3 sampler.py --repo the-nexus --count 20 # Top 20 for a repo
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python3 sampler.py --since 2026-04-01 # All sessions since date
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python3 sampler.py --count 50 --min-score 8 # Only high-value sessions
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python3 sampler.py --count 100 --output sample.json # Save to file
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"""
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import argparse
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import json
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import os
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import sys
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import time
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from datetime import datetime, timedelta, timezone
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from pathlib import Path
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from typing import Optional
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# --- Fast session scanning (no full parse) ---
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def scan_session_fast(path: str) -> dict:
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"""Extract scoring metadata from a session without parsing the full JSONL.
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Reads only: first line, last ~20 lines, and line count. This processes
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20k sessions in seconds instead of minutes.
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"""
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meta = {
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'path': path,
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'message_count': 0,
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'has_tool_calls': False,
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'tool_call_count': 0,
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'first_timestamp': '',
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'last_timestamp': '',
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'is_failure': False,
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'repos_mentioned': set(),
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'first_role': '',
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'last_content_preview': '',
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}
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try:
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file_size = os.path.getsize(path)
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if file_size == 0:
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return meta
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with open(path, 'r', encoding='utf-8', errors='replace') as f:
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# Read first line for timestamp + role
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first_line = f.readline().strip()
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if first_line:
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try:
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first_msg = json.loads(first_line)
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meta['first_timestamp'] = first_msg.get('timestamp', '')
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meta['first_role'] = first_msg.get('role', '')
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except json.JSONDecodeError:
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pass
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# Fast line count + collect tail lines
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# For the tail, seek to near end of file
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tail_lines = []
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line_count = 1 # already read first
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if file_size > 8192:
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# Seek to last 8KB for tail sampling
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f.seek(max(0, file_size - 8192))
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f.readline() # skip partial line
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for line in f:
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line = line.strip()
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if line:
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tail_lines.append(line)
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line_count += 1
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# We lost the exact count for big files — estimate from file size
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# Average JSONL line is ~500 bytes
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if line_count < 100:
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line_count = max(line_count, file_size // 500)
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else:
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# Small file — read all
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for line in f:
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line = line.strip()
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if line:
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tail_lines.append(line)
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line_count += 1
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meta['message_count'] = line_count
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# Parse tail lines for outcome, tool calls, repos
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for line in tail_lines[-30:]: # last 30 non-empty lines
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try:
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msg = json.loads(line)
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# Track last timestamp
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ts = msg.get('timestamp', '')
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if ts:
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meta['last_timestamp'] = ts
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# Count tool calls
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if msg.get('tool_calls'):
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meta['has_tool_calls'] = True
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meta['tool_call_count'] += len(msg['tool_calls'])
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# Detect failure signals in content
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content = ''
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if isinstance(msg.get('content'), str):
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content = msg['content'].lower()
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elif isinstance(msg.get('content'), list):
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for part in msg['content']:
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if isinstance(part, dict) and part.get('type') == 'text':
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content += part.get('text', '').lower()
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if content:
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meta['last_content_preview'] = content[:200]
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failure_signals = ['error', 'failed', 'cannot', 'unable',
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'exception', 'traceback', 'rejected', 'denied']
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if any(sig in content for sig in failure_signals):
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meta['is_failure'] = True
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# Extract repo references from tool call arguments
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if msg.get('tool_calls'):
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for tc in msg['tool_calls']:
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args = tc.get('function', {}).get('arguments', '')
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if isinstance(args, str):
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# Look for repo patterns
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for pattern in ['Timmy_Foundation/', 'Rockachopa/', 'compounding-intelligence', 'the-nexus', 'timmy-home', 'hermes-agent', 'the-beacon', 'the-door']:
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if pattern in args:
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repo = pattern.rstrip('/')
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meta['repos_mentioned'].add(repo)
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except json.JSONDecodeError:
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continue
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except (IOError, OSError):
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pass
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meta['repos_mentioned'] = list(meta['repos_mentioned'])
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return meta
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# --- Filename timestamp parsing ---
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def parse_session_timestamp(filename: str) -> Optional[datetime]:
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"""Parse timestamp from session filename.
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Common formats:
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session_20260413_123456_hash.jsonl
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20260413_123456_hash.jsonl
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"""
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stem = Path(filename).stem
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parts = stem.split('_')
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# Try session_YYYYMMDD_HHMMSS format
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for i, part in enumerate(parts):
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if len(part) == 8 and part.isdigit():
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date_part = part
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time_part = parts[i + 1] if i + 1 < len(parts) and len(parts[i + 1]) == 6 else '000000'
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try:
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return datetime.strptime(f"{date_part}_{time_part}", '%Y%m%d_%H%M%S').replace(tzinfo=timezone.utc)
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except ValueError:
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continue
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# Fallback: use file modification time
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return None
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# --- Scoring ---
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def score_session(meta: dict, now: datetime, seen_repos: set) -> tuple[int, dict]:
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"""Score a session for harvest value. Returns (score, breakdown)."""
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score = 0
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breakdown = {}
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# 1. Recency
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ts = parse_session_timestamp(os.path.basename(meta['path']))
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if ts is None:
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# Fallback to mtime
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try:
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ts = datetime.fromtimestamp(os.path.getmtime(meta['path']), tz=timezone.utc)
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||||
except OSError:
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ts = now - timedelta(days=365)
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age_days = (now - ts).days
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if age_days <= 7:
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recency = 3
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||||
elif age_days <= 30:
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recency = 2
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else:
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recency = 1
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score += recency
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breakdown['recency'] = recency
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||||
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||||
# 2. Length
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count = meta['message_count']
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||||
if count > 50:
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||||
length = 3
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||||
elif count > 20:
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||||
length = 2
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||||
else:
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||||
length = 1
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||||
score += length
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||||
breakdown['length'] = length
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||||
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||||
# 3. Repo uniqueness (first session mentioning a repo gets bonus)
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repo_score = 0
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for repo in meta.get('repos_mentioned', []):
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if repo not in seen_repos:
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seen_repos.add(repo)
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repo_score = max(repo_score, 5)
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else:
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repo_score = max(repo_score, 1)
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score += repo_score
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||||
breakdown['repo_unique'] = repo_score
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||||
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||||
# 4. Outcome
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if meta.get('is_failure'):
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outcome = 3
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||||
elif meta.get('last_content_preview', '').strip():
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||||
outcome = 2 # has some content = likely completed
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||||
else:
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||||
outcome = 1
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||||
score += outcome
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||||
breakdown['outcome'] = outcome
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||||
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||||
# 5. Tool calls
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||||
if meta.get('tool_call_count', 0) > 10:
|
||||
tool = 2
|
||||
else:
|
||||
tool = 0
|
||||
score += tool
|
||||
breakdown['tool_calls'] = tool
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||||
|
||||
return score, breakdown
|
||||
|
||||
|
||||
# --- Main ---
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Score and rank sessions for harvesting")
|
||||
parser.add_argument('--sessions-dir', default=os.path.expanduser('~/.hermes/sessions'),
|
||||
help='Directory containing session files')
|
||||
parser.add_argument('--count', type=int, default=100, help='Number of top sessions to return')
|
||||
parser.add_argument('--repo', default='', help='Filter to sessions mentioning this repo')
|
||||
parser.add_argument('--since', default='', help='Only score sessions after this date (YYYY-MM-DD)')
|
||||
parser.add_argument('--min-score', type=int, default=0, help='Minimum score threshold')
|
||||
parser.add_argument('--output', default='', help='Output file (JSON). Default: stdout')
|
||||
parser.add_argument('--format', choices=['json', 'paths', 'table'], default='table',
|
||||
help='Output format: json (full), paths (one per line), table (human)')
|
||||
parser.add_argument('--top-percent', type=float, default=0, help='Return top N%% instead of --count')
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
sessions_dir = Path(args.sessions_dir)
|
||||
if not sessions_dir.is_dir():
|
||||
print(f"ERROR: Sessions directory not found: {sessions_dir}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
# Find all JSONL files
|
||||
print(f"Scanning {sessions_dir}...", file=sys.stderr)
|
||||
t0 = time.time()
|
||||
|
||||
session_files = list(sessions_dir.glob('*.jsonl'))
|
||||
total = len(session_files)
|
||||
print(f"Found {total} session files", file=sys.stderr)
|
||||
|
||||
# Parse since date
|
||||
since_dt = None
|
||||
if args.since:
|
||||
since_dt = datetime.strptime(args.since, '%Y-%m-%d').replace(tzinfo=timezone.utc)
|
||||
|
||||
# Score all sessions
|
||||
now = datetime.now(timezone.utc)
|
||||
seen_repos = set() # Track repos for uniqueness scoring
|
||||
scored = []
|
||||
|
||||
for i, sf in enumerate(session_files):
|
||||
# Date filter (fast path: check filename first)
|
||||
if since_dt:
|
||||
ts = parse_session_timestamp(sf.name)
|
||||
if ts and ts < since_dt:
|
||||
continue
|
||||
|
||||
meta = scan_session_fast(str(sf))
|
||||
|
||||
# Repo filter
|
||||
if args.repo:
|
||||
repos = meta.get('repos_mentioned', [])
|
||||
if args.repo.lower() not in [r.lower() for r in repos]:
|
||||
# Also check filename
|
||||
if args.repo.lower() not in sf.name.lower():
|
||||
continue
|
||||
|
||||
score, breakdown = score_session(meta, now, seen_repos)
|
||||
|
||||
if score >= args.min_score:
|
||||
scored.append({
|
||||
'path': str(sf),
|
||||
'filename': sf.name,
|
||||
'score': score,
|
||||
'breakdown': breakdown,
|
||||
'message_count': meta['message_count'],
|
||||
'repos': meta['repos_mentioned'],
|
||||
'is_failure': meta['is_failure'],
|
||||
})
|
||||
|
||||
if (i + 1) % 5000 == 0:
|
||||
elapsed = time.time() - t0
|
||||
print(f" Scanned {i + 1}/{total} ({elapsed:.1f}s)", file=sys.stderr)
|
||||
|
||||
elapsed = time.time() - t0
|
||||
print(f"Scored {len(scored)} sessions in {elapsed:.1f}s", file=sys.stderr)
|
||||
|
||||
# Sort by score descending
|
||||
scored.sort(key=lambda x: x['score'], reverse=True)
|
||||
|
||||
# Apply count or percent
|
||||
if args.top_percent > 0:
|
||||
count = max(1, int(len(scored) * args.top_percent / 100))
|
||||
else:
|
||||
count = args.count
|
||||
scored = scored[:count]
|
||||
|
||||
# Output
|
||||
if args.output:
|
||||
with open(args.output, 'w', encoding='utf-8') as f:
|
||||
json.dump(scored, f, indent=2)
|
||||
print(f"Wrote {len(scored)} sessions to {args.output}", file=sys.stderr)
|
||||
elif args.format == 'json':
|
||||
json.dump(scored, sys.stdout, indent=2)
|
||||
elif args.format == 'paths':
|
||||
for s in scored:
|
||||
print(s['path'])
|
||||
else: # table
|
||||
print(f"{'SCORE':>5} {'MSGS':>5} {'REPOS':<25} {'FILE'}")
|
||||
print(f"{'-'*5} {'-'*5} {'-'*25} {'-'*40}")
|
||||
for s in scored:
|
||||
repos = ', '.join(s['repos'][:2]) if s['repos'] else '-'
|
||||
fail = ' FAIL' if s['is_failure'] else ''
|
||||
print(f"{s['score']:>5} {s['message_count']:>5} {repos:<25} {s['filename'][:40]}{fail}")
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
Reference in New Issue
Block a user