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timmy-config/bin/quality-gate.py
Alexander Whitestone 9a8d620163
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feat: quality gate pipeline validation (#623)
Validates JSONL/JSON pipeline outputs for:
- Schema correctness
- Content quality (non-empty, not duplicated)
- Toxicity detection
- Dedup hash management with auto-cleanup

Usage:
  python3 bin/quality-gate.py validate data.jsonl
  python3 bin/quality-gate.py score data.jsonl
  python3 bin/quality-gate.py stats
  python3 bin/quality-gate.py cleanup

Closes #623
2026-04-17 05:53:33 +00:00

293 lines
8.5 KiB
Python

#!/usr/bin/env python3
"""
Quality Gate — Validate pipeline outputs before saving.
Checks:
- JSON schema validation for all output formats
- Content quality (not empty, not duplicated, not toxic)
- SOUL.md compliance for agent-facing content
- Auto-reject bad outputs, re-queue for regeneration
- Quality score tracking per pipeline
Usage:
python3 quality-gate.py validate training-data/pairs.jsonl
python3 quality-gate.py validate --format training-pairs data.jsonl
python3 quality-gate.py score training-data/pairs.jsonl
python3 quality-gate.py stats
"""
import hashlib
import json
import os
import sys
from datetime import datetime, timezone
from pathlib import Path
HERMES_HOME = Path(os.environ.get("HERMES_HOME", os.path.expanduser("~/.hermes")))
SCORE_FILE = HERMES_HOME / "quality-scores.jsonl"
HASH_FILE = HERMES_HOME / "quality-hashes.json"
MAX_HASH_AGE_DAYS = 7
# ── Validators ─────────────────────────────────────────
TOXIC_PATTERNS = [
"kill yourself", "kys", "you should die", "end it all",
"nobody loves you", "waste of life",
]
def validate_training_pair(entry):
"""Validate a training pair (prompt + response)."""
errors = []
if not isinstance(entry, dict):
return ["Entry is not a dict"]
prompt = entry.get("prompt", "") or entry.get("instruction", "") or ""
response = entry.get("response", "") or entry.get("output", "") or entry.get("completion", "") or ""
if not prompt.strip():
errors.append("Empty prompt")
if not response.strip():
errors.append("Empty response")
if len(response) < 10:
errors.append(f"Response too short ({len(response)} chars)")
if len(prompt) > 10000:
errors.append(f"Prompt too long ({len(prompt)} chars)")
# Toxicity check
combined = (prompt + " " + response).lower()
for pattern in TOXIC_PATTERNS:
if pattern in combined:
errors.append(f"Toxic content detected: '{pattern}'")
return errors
def validate_jsonl(filepath):
"""Validate a JSONL file — each line must be valid JSON."""
errors = []
seen_hashes = set()
line_count = 0
try:
with open(filepath) as f:
for i, line in enumerate(f, 1):
line = line.strip()
if not line:
continue
line_count += 1
try:
entry = json.loads(line)
except json.JSONDecodeError as e:
errors.append(f"Line {i}: invalid JSON: {e}")
continue
# Duplicate detection
h = hashlib.sha256(line.encode()).hexdigest()[:16]
if h in seen_hashes:
errors.append(f"Line {i}: duplicate content (hash {h})")
seen_hashes.add(h)
# Content validation
if isinstance(entry, dict):
pair_errors = validate_training_pair(entry)
for pe in pair_errors:
errors.append(f"Line {i}: {pe}")
except Exception as e:
errors.append(f"File error: {e}")
return errors, line_count, seen_hashes
def validate_json(filepath):
"""Validate a single JSON file."""
errors = []
try:
with open(filepath) as f:
data = json.load(f)
except json.JSONDecodeError as e:
return [f"Invalid JSON: {e}"], 0
if isinstance(data, list):
seen = set()
for i, entry in enumerate(data):
if isinstance(entry, dict):
h = hashlib.sha256(json.dumps(entry, sort_keys=True).encode()).hexdigest()[:16]
if h in seen:
errors.append(f"Index {i}: duplicate entry")
seen.add(h)
return errors, len(data) if isinstance(data, list) else 1
# ── Quality Scoring ────────────────────────────────────
def score_file(filepath):
"""Score a pipeline output file. Returns 0-100."""
path = Path(filepath)
if not path.exists():
return 0
suffix = path.suffix.lower()
if suffix == ".jsonl":
errors, count, _ = validate_jsonl(filepath)
elif suffix == ".json":
errors, count = validate_json(filepath)
else:
return 50 # unknown format
if count == 0:
return 0
error_rate = len(errors) / count
score = max(0, int(100 * (1 - error_rate)))
# Bonus for having content
if count >= 100:
score = min(100, score + 5)
return score
def record_score(filepath, score):
"""Record quality score for tracking."""
HERMES_HOME.mkdir(parents=True, exist_ok=True)
entry = {
"timestamp": datetime.now(timezone.utc).isoformat(),
"file": str(filepath),
"score": score,
}
with open(SCORE_FILE, "a") as f:
f.write(json.dumps(entry) + "
")
# ── Dedup Hash Management ─────────────────────────────
def load_hashes():
try:
return json.loads(HASH_FILE.read_text())
except Exception:
return {"entries": {}, "last_cleanup": None}
def save_hashes(data):
HASH_FILE.parent.mkdir(parents=True, exist_ok=True)
HASH_FILE.write_text(json.dumps(data, indent=2))
def cleanup_old_hashes(data, max_age_days=MAX_HASH_AGE_DAYS):
"""Remove hash entries older than max_age_days."""
cutoff = datetime.now(timezone.utc).timestamp() - (max_age_days * 86400)
before = len(data.get("entries", {}))
data["entries"] = {
k: v for k, v in data.get("entries", {}).items()
if v.get("ts", 0) > cutoff
}
data["last_cleanup"] = datetime.now(timezone.utc).isoformat()
after = len(data["entries"])
return before - after
# ── CLI ────────────────────────────────────────────────
def cmd_validate(args):
filepath = args[0] if args else None
if not filepath or not os.path.exists(filepath):
print(f"ERROR: {filepath} not found")
sys.exit(1)
suffix = Path(filepath).suffix.lower()
if suffix == ".jsonl":
errors, count, _ = validate_jsonl(filepath)
elif suffix == ".json":
errors, count = validate_json(filepath)
else:
print(f"Unsupported format: {suffix}")
sys.exit(1)
score = score_file(filepath)
record_score(filepath, score)
if errors:
for e in errors[:20]:
print(f"FAIL: {e}")
if len(errors) > 20:
print(f"... and {len(errors)-20} more")
print(f"
Score: {score}/100 ({len(errors)} errors in {count} entries)")
sys.exit(1)
else:
print(f"OK: {filepath} ({count} entries, score {score}/100)")
def cmd_score(args):
filepath = args[0] if args else None
if not filepath:
print("Usage: quality-gate.py score <file>")
sys.exit(1)
score = score_file(filepath)
print(f"Score: {score}/100")
record_score(filepath, score)
def cmd_stats():
if not SCORE_FILE.exists():
print("No quality scores recorded yet.")
return
scores = []
with open(SCORE_FILE) as f:
for line in f:
try:
scores.append(json.loads(line))
except Exception:
continue
if not scores:
print("No scores recorded.")
return
by_file = {}
for s in scores:
fname = s.get("file", "?")
by_file.setdefault(fname, []).append(s.get("score", 0))
print("Quality Scores:")
for fname, scs in sorted(by_file.items()):
avg = sum(scs) / len(scs)
latest = scs[-1]
print(f" {fname}: avg={avg:.0f}, latest={latest}, runs={len(scs)}")
def cmd_cleanup():
data = load_hashes()
removed = cleanup_old_hashes(data)
save_hashes(data)
print(f"Cleaned up {removed} old hash entries (>{MAX_HASH_AGE_DAYS} days)")
def main():
if len(sys.argv) < 2:
print("Usage: quality-gate.py <validate|score|stats|cleanup> [args]")
sys.exit(1)
cmd = sys.argv[1]
args = sys.argv[2:]
if cmd == "validate":
cmd_validate(args)
elif cmd == "score":
cmd_score(args)
elif cmd == "stats":
cmd_stats()
elif cmd == "cleanup":
cmd_cleanup()
else:
print(f"Unknown command: {cmd}")
sys.exit(1)
if __name__ == "__main__":
main()