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CyberGril/docs/r3/correction-proof-HEL-835.py
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Python

"""HEL-835 correction proof v2: full 21 PAIRS in a fresh isolated DB.
Zero real model calls (ControlledLLM only). Fixes the two evidence defects the
reviewer found in the first probe:
- old seed had no companion 'sent' rows, so fillers never entered the
production recent-turn window (JOIN companion x user, both 'sent');
- its fingerprint was sha256(b'null') because bazi_core was empty.
This proof: creates a real profile through the production endpoint (program
bazi computation, no persona model call with R2 off), seeds ONE target pair
plus TWENTY filler pairs (both roles 'sent'), then verifies through the real
create_app + ControlledLLM that the production recent-turn SQL excludes the
twenty filler turns, the target sits outside, the final prompt contains the
target memory block, the recent history does NOT contain the target's unique
answer, and the birth fingerprint (non-null source) is unchanged.
"""
import asyncio
import json
import sys
import tempfile
from pathlib import Path
from uuid import uuid4
sys.path.insert(0, str(Path(__file__).resolve().parents[2]))
sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "tests"))
from fastapi.testclient import TestClient # noqa: E402
from test_api import CREATE, ControlledLLM, events # noqa: E402
from cybergril.api.app import create_app # noqa: E402
from cybergril.life.persona import fingerprint # noqa: E402
from cybergril.life.runtime import LifeConfig # noqa: E402
from cybergril.think.router import build_router # noqa: E402
from cybergril.think.scenes import Tier # noqa: E402
PASS, FAIL = [], []
TARGET_TURN = "00000000-c0rr-0000-4000-8000-000000000000"
UNIQUE = "蓝灰色封面诗集"
def check(name, cond, detail=""):
(PASS if cond else FAIL).append(name)
print(("PASS" if cond else "FAIL"), name, detail)
class CaptureLLM(ControlledLLM):
"""ControlledLLM that records the full prompt of every call."""
def __init__(self):
super().__init__()
self.captured = []
async def stream(self, messages, **kwargs):
self.calls.append(messages)
self.captured.append(list(messages))
from cybergril.contracts import LLMDelta
yield LLMDelta(text="我在听。")
yield LLMDelta(done=True)
async def main_async():
tmp = Path(tempfile.mkdtemp(prefix="hel835-corr-"))
provider = CaptureLLM()
router = build_router(providers={t: provider for t in (Tier.HIGH, Tier.STANDARD, Tier.LOW)})
app = create_app(db_path=tmp / "corr.db", router=router,
life_config=LifeConfig(enabled=False))
with TestClient(app) as c:
r = c.post("/api/companion", json={"name": "补证", "birth": "2001-05-21", "hour": "午时", "relation": "朋友"})
check("profile created via production endpoint", r.status_code == 201)
s = app.state.store
fp_before = fingerprint(s)
check("fingerprint source non-null", fp_before != __import__("hashlib").sha256(b"null").hexdigest())
check("bazi_core populated", s.query_one("SELECT count(*) n FROM bazi_core")["n"] == 1)
# seed: 1 target pair (oldest) + 20 filler pairs, all both-roles sent
pairs = [(TARGET_TURN, f"我今天在巷口旧书店买了一本{UNIQUE}。", "谢谢你告诉我,听起来很安静。")]
for i in range(1, 21):
pairs.append((f"00000000-c0rr-0000-4000-8000-{i:012d}",
f"合成第{i}轮:雨天通勤和晚饭。", f"合成回复第{i}轮。"))
with s.conn:
for turn, user_text, comp_text in pairs:
uid = s.execute("INSERT INTO chat_message(ts,role,text,turn_id,status) VALUES(1,'user',?,?,'sent')",
(user_text, turn)).lastrowid
cid = s.execute("INSERT INTO chat_message(ts,role,text,turn_id,status) VALUES(2,'companion',?,?,'sent')",
(comp_text, turn)).lastrowid
s.execute("INSERT INTO mem_episodic(ts,role,raw,gist,salience,affect,source,accessibility,turn_id,message_id)"
" VALUES(1,'user',?,?,0.5,NULL,'chat',1,?,?)",
(user_text, f"用户在巷口旧书店买了{UNIQUE}。", turn, uid))
if turn == TARGET_TURN:
s.execute("INSERT INTO mem_episodic(ts,role,raw,gist,salience,affect,source,accessibility,turn_id,message_id)"
" VALUES(2,'companion',?,?,0.5,NULL,'chat',1,?,?)",
(comp_text, "她谢谢用户分享诗集。", turn, cid))
# (a) production recent-turn SQL over the seeded db
rows = s.query("""SELECT a.turn_id FROM chat_message a JOIN chat_message u
ON u.turn_id=a.turn_id AND u.role='user'
WHERE a.role='companion' AND a.status='sent' AND u.status='sent'
ORDER BY a.id DESC LIMIT 20""")
window = [r["turn_id"] for r in rows]
check("production window has exactly 20 pairs", len(window) == 20, str(len(window)))
check("target outside the window", TARGET_TURN not in window)
check("all fillers inside the window", all(t in window for t in window if t != TARGET_TURN))
# (b)(c) real chat turn -> captured prompt + retrieval log
import logging
caplog_stream = []
handler = logging.Handler()
handler.emit = lambda record: caplog_stream.append(record.getMessage())
log = logging.getLogger("cybergril.memory.episodic")
log.setLevel(logging.INFO)
log.addHandler(handler)
epoch = c.get("/api/health").json()["epoch"]
response = c.post("/api/chat", json={"text": f"还记得我在旧书店买的那本{UNIQUE[:-2]}吗",
"turn_id": str(uuid4()), "epoch": epoch})
final = events(response)[-1]
check("chat turn completed", final["t"] == "chat.final")
retrieval = next((line for line in caplog_stream if "mode" in line), None)
check("retrieval fired", retrieval is not None, retrieval or "")
if retrieval:
parsed = json.loads(retrieval)
check("retrieval hit target", any(h["turn_id"] == TARGET_TURN for h in parsed["hits"]),
str(parsed["hits"]))
check("mode phrase/trigram", parsed["mode"] in ("phrase", "trigram", "like"), parsed["mode"])
prompt = provider.captured[-1]
system_blob = "".join(m.content for m in prompt if m.role == "system")
history_msgs = [m for m in prompt[:-1] if m.role in ("user", "assistant")]
recent_blob = "".join(m.content for m in history_msgs)
check("memory block in system messages contains target gist", UNIQUE in system_blob)
check("recent user/assistant history does NOT contain the target answer", UNIQUE not in recent_blob)
kept_recent = sum(1 for m in prompt[1:] if m.role in ("user", "assistant"))
check("recent history actually delivered (non-empty)", kept_recent > 0, str(kept_recent))
check("filler recent turns present in prompt", "合成第20轮" in recent_blob or "合成第" in recent_blob)
fp_after = fingerprint(s)
check("birth fingerprint unchanged after chat+retrieval", fp_after == fp_before)
print(f"\n{len(PASS)} passed, {len(FAIL)} failed")
if FAIL:
print("FAILED:", FAIL)
sys.exit(1)
if __name__ == "__main__":
asyncio.run(main_async())