#!/usr/bin/env python3
"""
Brain-Regeln - Automatische Bestaetigungs- und Archivierungslogik.
Wird von Cron und Agent aufgerufen.
"""

import sys
sys.path.insert(0, "/root/.openclaw/workspace/second-brain")

from src.engram import Engram, Grounding
from src.store import EngramStore

DB = "/root/.openclaw/workspace/second-brain/data/brain.sqlite"


def apply_rules():
    store = EngramStore(DB)
    egs = store.get_all(limit=1000)
    actions = []

    for eg in egs:
        conf = eg.compute_confidence()
        age_days = eg._age_days(eg.metadata.get("created", ""))
        correct = eg.correctness

        # Regel 1: Triple-Confirm → Auto-Verifiziert
        if not correct.confirmed and correct.confirmations >= 3:
            correct.confirmed = True
            correct.confirmations += 1
            store.save(eg)
            actions.append(f"Auto-Confirm: {str(eg.id)[:8]} (3x confirmed)")

        # Regel 2: Lang unbestaetigt → ASSUMPTION Tag
        if age_days > 30 and not correct.confirmed and "archiviert" not in eg.metadata.get("tags", []):
            eg.metadata.setdefault("tags", []).append("archiviert")
            eg.metadata["archivgrund"] = f"Unbestaetigt seit {age_days} Tagen"
            store.save(eg)
            actions.append(f"Archiviert: {str(eg.id)[:8]} (Alter {age_days}d)")

        # Regel 3: Rejected mit 2+ Rejections → loeschen (Sanft: Tag statt rm)
        if correct.rejections >= 2:
            eg.metadata.setdefault("tags", []).append("deleted")
            store.save(eg)
            actions.append(f"Deleted-Tag: {str(eg.id)[:8]} ({correct.rejections}x rejected)")

    return actions


if __name__ == "__main__":
    actions = apply_rules()
    print("Brain-Regeln angewendet:")
    for a in actions or ["Keine Aktionen noetig"]:
        print(f"  {a}")