#!/usr/bin/env python3
"""Confirm all Engrams that originated from context-buffer topic-*.md files."""

import sys
import json
from pathlib import Path

BRAIN_DIR = Path("/root/.openclaw/workspace/second-brain")
sys.path.insert(0, str(BRAIN_DIR))
from src.store import EngramStore

DB_PATH = BRAIN_DIR / "data" / "brain.sqlite"
store = EngramStore(str(DB_PATH))

# Finde alle Engrams, deren filepath "topic-" enthält
cursor = store._conn.execute(
    "SELECT id, metadata_json FROM engrams WHERE metadata_json LIKE ?",
    ('%"filepath": "%topic-%',)
)
rows = cursor.fetchall()
print(f"Gefundene Context-Buffer Topics: {len(rows)}")

confirmed = 0
for eid, meta_json in rows:
    try:
        meta = json.loads(meta_json)
        filepath = meta.get("filepath", "")
        if "topic-" not in filepath:
            continue
        eg = store.get(eid)
        if eg is None:
            continue
        eg.correctness.confirmed = True
        eg.correctness.verdict = "confirmed_true"
        store.save(eg)
        confirmed += 1
    except Exception as e:
        print(f"Fehler bei {eid}: {e}")

print(f"Bestätigte Topics: {confirmed}")