Files
CASAN/AINative_OKR_CASAN5/packages/casan-harness/scripts/bash/hallucination-scan.py
T
thanhnvandClaude Opus 4.8 664bd1f00c feat(plan-01): Phase 1 — relocate harness code to packages/casan-harness (symlink facade)
Physically move the pure-code subtrees out of .specify into the package, leaving
compat symlinks at the old .specify/<dir> paths so every existing reference (internal
CASAN_HARNESS_ROOT + external CI/docker/mjs) keeps resolving. Runtime state stays put.

Moved (git mv): scripts/ tests/ security/ templates/ config/ governance/ memory/
  .specify/<dir>  ->  packages/casan-harness/<dir>   (+ .specify/<dir> symlink)
Stays in .specify (state/governance/domain, handled later): logs/ agentops/ level5/
  init-options.json traceability-map.json

Python `.resolve()` self-location followed the compat symlink into packages and lost
the app root; generate-casan-demo-context.py, generate-agentops-dashboard.py and
dashboard-server.py now walk UP for the `.specify` state marker instead of a fixed
parent depth (fixes "missing trace files" in run-casan4).

Full gate: PASS=64 FAIL=0 SKIP=3 (CASAN_CI_STEP_TIMEOUT_SEC=1200 — track-a ~450s runs
close to the 600s default and can tip over under load; this is timing variance, not a
regression — it passed cleanly with headroom). Runtime log/audit artifacts kept unstaged.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-08 00:06:00 +09:00

65 lines
1.8 KiB
Python
Executable File

#!/usr/bin/env python3
"""CASAN H6 hallucination signal detector.
Reads the quoted keyword markers from hallucination-tracking.yaml plus a set of
generic uncertainty markers, scans the agent output, and reports how many
hallucination signals were found. This turns hallucination-tracking.yaml from
dead config into a real, populated metric written to metrics.jsonl.
Usage: hallucination-scan.py <hallucination-tracking.yaml> <output-file>
Output (stdout): line 1 = integer signal count, line 2 = JSON list of matches.
"""
import json
import re
import sys
GENERIC_MARKERS = [
"maybe", "might be incorrect", "i am not sure", "uncertain",
"i think", "probably", "as far as i know",
]
def load_keywords(path):
keywords = []
try:
with open(path, encoding="utf-8") as fh:
for line in fh:
# Quoted list items are the hallucination keyword markers
# (unquoted list items are structured signal names, not text).
m = re.match(r'\s*-\s*"(.+)"\s*$', line)
if m:
keywords.append(m.group(1))
except OSError:
pass
return keywords
def main():
if len(sys.argv) < 3:
print(0)
print("[]")
return
keywords = load_keywords(sys.argv[1]) + GENERIC_MARKERS
try:
with open(sys.argv[2], encoding="utf-8") as fh:
text = fh.read().lower()
except OSError:
print(0)
print("[]")
return
matched = []
for kw in keywords:
k = kw.lower()
if not k:
continue
count = text.count(k)
if count:
matched.append({"marker": kw, "count": count})
total = sum(m["count"] for m in matched)
print(total)
print(json.dumps(matched))
if __name__ == "__main__":
main()