Files
CASAN/AINative_OKR_CASAN5/.specify/scripts/bash/hallucination-scan.py
T
2026-06-30 02:21:39 +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()