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55797c8a3e feat: add sampler.py — session value scorer (#17) 2026-04-15 03:02:12 +00:00
3 changed files with 353 additions and 260 deletions

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#!/usr/bin/env python3
"""
Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
Usage:
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --json
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
"""
import argparse
import hashlib
import json
import os
import sys
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Any, Optional
def compute_file_hash(filepath: str) -> Optional[str]:
"""Compute SHA-256 hash of a file. Returns None if file doesn't exist."""
try:
with open(filepath, "rb") as f:
return "sha256:" + hashlib.sha256(f.read()).hexdigest()
except (FileNotFoundError, IsADirectoryError, PermissionError):
return None
def check_staleness(index_path: str, repo_root: str = ".") -> List[Dict[str, Any]]:
"""Check all entries in knowledge index for staleness.
Returns list of entries with staleness info:
- status: "fresh" | "stale" | "missing_source" | "no_hash"
- current_hash: computed hash (if source exists)
- stored_hash: hash from index
"""
with open(index_path) as f:
data = json.load(f)
facts = data.get("facts", [])
results = []
for entry in facts:
source_file = entry.get("source_file")
stored_hash = entry.get("source_hash")
if not source_file:
results.append({**entry, "status": "no_source", "current_hash": None})
continue
full_path = os.path.join(repo_root, source_file)
current_hash = compute_file_hash(full_path)
if current_hash is None:
results.append({**entry, "status": "missing_source", "current_hash": None})
elif not stored_hash:
results.append({**entry, "status": "no_hash", "current_hash": current_hash})
elif current_hash != stored_hash:
results.append({**entry, "status": "stale", "current_hash": current_hash})
else:
results.append({**entry, "status": "fresh", "current_hash": current_hash})
return results
def fix_hashes(index_path: str, repo_root: str = ".") -> int:
"""Add hashes to entries missing them. Returns count of fixed entries."""
with open(index_path) as f:
data = json.load(f)
fixed = 0
for entry in data.get("facts", []):
if entry.get("source_hash"):
continue
source_file = entry.get("source_file")
if not source_file:
continue
full_path = os.path.join(repo_root, source_file)
h = compute_file_hash(full_path)
if h:
entry["source_hash"] = h
fixed += 1
with open(index_path, "w") as f:
json.dump(data, f, indent=2)
return fixed
def main():
parser = argparse.ArgumentParser(description="Check knowledge store staleness")
parser.add_argument("--index", required=True, help="Path to knowledge/index.json")
parser.add_argument("--repo", default=".", help="Repo root for source file resolution")
parser.add_argument("--json", action="store_true", help="Output as JSON")
parser.add_argument("--fix", action="store_true", help="Add hashes to entries missing them")
args = parser.parse_args()
if args.fix:
fixed = fix_hashes(args.index, args.repo)
print(f"Fixed {fixed} entries with missing hashes.")
return
results = check_staleness(args.index, args.repo)
if args.json:
print(json.dumps(results, indent=2))
else:
stale = [r for r in results if r["status"] != "fresh"]
fresh = [r for r in results if r["status"] == "fresh"]
print(f"Knowledge Store Staleness Check")
print(f" Total entries: {len(results)}")
print(f" Fresh: {len(fresh)}")
print(f" Stale/Issues: {len(stale)}")
print()
if stale:
print("Issues found:")
for r in stale:
status = r["status"]
fact = r.get("fact", "?")[:60]
source = r.get("source_file", "?")
print(f" [{status}] {source}: {fact}")
else:
print("All entries are fresh!")
if __name__ == "__main__":
main()

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scripts/sampler.py Normal file
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#!/usr/bin/env python3
"""
sampler.py — Score and rank sessions by harvest value.
With 20k+ sessions on disk, we can't harvest all at once. This script
scores each session by how likely it is to contain valuable knowledge,
so the harvester processes the best ones first.
Scoring strategy:
- Recency: last 7d=3pts, last 30d=2pts, older=1pt
- Length: >50 messages=3pts, >20=2pts, <20=1pt
- Repo uniqueness: first session for a repo=5pts, otherwise=1pt
- Outcome: failure=3pts (most to learn), success=2pts, unknown=1pt
- Tool calls: >10 tool invocations=2pts (complex sessions)
Usage:
python3 sampler.py --count 100 # Top 100 sessions
python3 sampler.py --repo the-nexus --count 20 # Top 20 for a repo
python3 sampler.py --since 2026-04-01 # All sessions since date
python3 sampler.py --count 50 --min-score 8 # Only high-value sessions
python3 sampler.py --count 100 --output sample.json # Save to file
"""
import argparse
import json
import os
import sys
import time
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Optional
# --- Fast session scanning (no full parse) ---
def scan_session_fast(path: str) -> dict:
"""Extract scoring metadata from a session without parsing the full JSONL.
Reads only: first line, last ~20 lines, and line count. This processes
20k sessions in seconds instead of minutes.
"""
meta = {
'path': path,
'message_count': 0,
'has_tool_calls': False,
'tool_call_count': 0,
'first_timestamp': '',
'last_timestamp': '',
'is_failure': False,
'repos_mentioned': set(),
'first_role': '',
'last_content_preview': '',
}
try:
file_size = os.path.getsize(path)
if file_size == 0:
return meta
with open(path, 'r', encoding='utf-8', errors='replace') as f:
# Read first line for timestamp + role
first_line = f.readline().strip()
if first_line:
try:
first_msg = json.loads(first_line)
meta['first_timestamp'] = first_msg.get('timestamp', '')
meta['first_role'] = first_msg.get('role', '')
except json.JSONDecodeError:
pass
# Fast line count + collect tail lines
# For the tail, seek to near end of file
tail_lines = []
line_count = 1 # already read first
if file_size > 8192:
# Seek to last 8KB for tail sampling
f.seek(max(0, file_size - 8192))
f.readline() # skip partial line
for line in f:
line = line.strip()
if line:
tail_lines.append(line)
line_count += 1
# We lost the exact count for big files — estimate from file size
# Average JSONL line is ~500 bytes
if line_count < 100:
line_count = max(line_count, file_size // 500)
else:
# Small file — read all
for line in f:
line = line.strip()
if line:
tail_lines.append(line)
line_count += 1
meta['message_count'] = line_count
# Parse tail lines for outcome, tool calls, repos
for line in tail_lines[-30:]: # last 30 non-empty lines
try:
msg = json.loads(line)
# Track last timestamp
ts = msg.get('timestamp', '')
if ts:
meta['last_timestamp'] = ts
# Count tool calls
if msg.get('tool_calls'):
meta['has_tool_calls'] = True
meta['tool_call_count'] += len(msg['tool_calls'])
# Detect failure signals in content
content = ''
if isinstance(msg.get('content'), str):
content = msg['content'].lower()
elif isinstance(msg.get('content'), list):
for part in msg['content']:
if isinstance(part, dict) and part.get('type') == 'text':
content += part.get('text', '').lower()
if content:
meta['last_content_preview'] = content[:200]
failure_signals = ['error', 'failed', 'cannot', 'unable',
'exception', 'traceback', 'rejected', 'denied']
if any(sig in content for sig in failure_signals):
meta['is_failure'] = True
# Extract repo references from tool call arguments
if msg.get('tool_calls'):
for tc in msg['tool_calls']:
args = tc.get('function', {}).get('arguments', '')
if isinstance(args, str):
# Look for repo patterns
for pattern in ['Timmy_Foundation/', 'Rockachopa/', 'compounding-intelligence', 'the-nexus', 'timmy-home', 'hermes-agent', 'the-beacon', 'the-door']:
if pattern in args:
repo = pattern.rstrip('/')
meta['repos_mentioned'].add(repo)
except json.JSONDecodeError:
continue
except (IOError, OSError):
pass
meta['repos_mentioned'] = list(meta['repos_mentioned'])
return meta
# --- Filename timestamp parsing ---
def parse_session_timestamp(filename: str) -> Optional[datetime]:
"""Parse timestamp from session filename.
Common formats:
session_20260413_123456_hash.jsonl
20260413_123456_hash.jsonl
"""
stem = Path(filename).stem
parts = stem.split('_')
# Try session_YYYYMMDD_HHMMSS format
for i, part in enumerate(parts):
if len(part) == 8 and part.isdigit():
date_part = part
time_part = parts[i + 1] if i + 1 < len(parts) and len(parts[i + 1]) == 6 else '000000'
try:
return datetime.strptime(f"{date_part}_{time_part}", '%Y%m%d_%H%M%S').replace(tzinfo=timezone.utc)
except ValueError:
continue
# Fallback: use file modification time
return None
# --- Scoring ---
def score_session(meta: dict, now: datetime, seen_repos: set) -> tuple[int, dict]:
"""Score a session for harvest value. Returns (score, breakdown)."""
score = 0
breakdown = {}
# 1. Recency
ts = parse_session_timestamp(os.path.basename(meta['path']))
if ts is None:
# Fallback to mtime
try:
ts = datetime.fromtimestamp(os.path.getmtime(meta['path']), tz=timezone.utc)
except OSError:
ts = now - timedelta(days=365)
age_days = (now - ts).days
if age_days <= 7:
recency = 3
elif age_days <= 30:
recency = 2
else:
recency = 1
score += recency
breakdown['recency'] = recency
# 2. Length
count = meta['message_count']
if count > 50:
length = 3
elif count > 20:
length = 2
else:
length = 1
score += length
breakdown['length'] = length
# 3. Repo uniqueness (first session mentioning a repo gets bonus)
repo_score = 0
for repo in meta.get('repos_mentioned', []):
if repo not in seen_repos:
seen_repos.add(repo)
repo_score = max(repo_score, 5)
else:
repo_score = max(repo_score, 1)
score += repo_score
breakdown['repo_unique'] = repo_score
# 4. Outcome
if meta.get('is_failure'):
outcome = 3
elif meta.get('last_content_preview', '').strip():
outcome = 2 # has some content = likely completed
else:
outcome = 1
score += outcome
breakdown['outcome'] = outcome
# 5. Tool calls
if meta.get('tool_call_count', 0) > 10:
tool = 2
else:
tool = 0
score += tool
breakdown['tool_calls'] = tool
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()

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#!/usr/bin/env python3
"""Tests for scripts/knowledge_staleness_check.py — 8 tests."""
import json
import os
import sys
import tempfile
sys.path.insert(0, os.path.dirname(__file__) or ".")
import importlib.util
spec = importlib.util.spec_from_file_location("ks", os.path.join(os.path.dirname(__file__) or ".", "knowledge_staleness_check.py"))
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
check_staleness = mod.check_staleness
fix_hashes = mod.fix_hashes
compute_file_hash = mod.compute_file_hash
def test_fresh_entry():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("print('hello')")
h = compute_file_hash(src)
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "hello", "source_file": "source.py", "source_hash": h}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "fresh"
print("PASS: test_fresh_entry")
def test_stale_entry():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("original content")
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "old", "source_file": "source.py", "source_hash": "sha256:wrong"}]}, f)
# Now change the source
with open(src, "w") as f:
f.write("modified content")
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "stale"
print("PASS: test_stale_entry")
def test_missing_source():
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "gone", "source_file": "nonexistent.py", "source_hash": "sha256:abc"}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "missing_source"
print("PASS: test_missing_source")
def test_no_hash():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("content")
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "no hash", "source_file": "source.py"}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "no_hash"
assert results[0]["current_hash"].startswith("sha256:")
print("PASS: test_no_hash")
def test_no_source_field():
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "orphan"}]}, f)
results = check_staleness(idx, tmpdir)
assert results[0]["status"] == "no_source"
print("PASS: test_no_source_field")
def test_fix_hashes():
with tempfile.TemporaryDirectory() as tmpdir:
src = os.path.join(tmpdir, "source.py")
with open(src, "w") as f:
f.write("content for hashing")
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": [{"fact": "needs hash", "source_file": "source.py"}]}, f)
fixed = fix_hashes(idx, tmpdir)
assert fixed == 1
# Verify hash was added
with open(idx) as f:
data = json.load(f)
assert data["facts"][0]["source_hash"].startswith("sha256:")
print("PASS: test_fix_hashes")
def test_empty_index():
with tempfile.TemporaryDirectory() as tmpdir:
idx = os.path.join(tmpdir, "index.json")
with open(idx, "w") as f:
json.dump({"facts": []}, f)
results = check_staleness(idx, tmpdir)
assert results == []
print("PASS: test_empty_index")
def test_compute_hash_nonexistent():
h = compute_file_hash("/nonexistent/path/file.py")
assert h is None
print("PASS: test_compute_hash_nonexistent")
def run_all():
test_fresh_entry()
test_stale_entry()
test_missing_source()
test_no_hash()
test_no_source_field()
test_fix_hashes()
test_empty_index()
test_compute_hash_nonexistent()
print("\nAll 8 tests passed!")
if __name__ == "__main__":
run_all()