Otto
8783bb2db5
- Add generated columns and indexes for correctness and metadata fields - Optimize get_all() with keyset pagination - Add get_pending_for_review() for targeted queries - Update cron tasks to use optimized queries instead of full table scans - This fixes timeouts in review_brain and verify_pending_external (300s timeout) Fixes #35: Second-Brain in Takt bringen, Dedup, Pendings, Graph und Performance
92 lines
2.7 KiB
Python
92 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""
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Tägliche Zusammenfassung der Second Brain Aktivitäten.
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Erstellt ein Engramm mit Highlights des Vortags.
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"""
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from __future__ import annotations
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import json
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import sqlite3
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import sys
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from datetime import datetime, timezone, timedelta
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from pathlib import Path
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BRAIN_DIR = Path("/root/.openclaw/workspace/second-brain")
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DB_PATH = BRAIN_DIR / "data" / "brain.sqlite"
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def run():
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now = datetime.now(timezone.utc)
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yesterday = now - timedelta(days=1)
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date_str = yesterday.strftime("%Y-%m-%d")
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conn = sqlite3.connect(str(DB_PATH), timeout=60)
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conn.execute("PRAGMA busy_timeout=60000")
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conn.execute("PRAGMA journal_mode=WAL")
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conn.row_factory = sqlite3.Row
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c = conn.cursor()
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# Engramme von gestern (created_at innerhalb des Tages)
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c.execute("""
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SELECT id, content, metadata_json, created_at
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FROM engrams
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WHERE created_at >= ? AND created_at < ?
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""", (yesterday.isoformat(), now.isoformat()))
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rows = c.fetchall()
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total_yesterday = len(rows)
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sources = {}
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tags = {}
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for r in rows:
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meta = json.loads(r["metadata_json"] or "{}")
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src = meta.get("source", "unknown")
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sources[src] = sources.get(src, 0) + 1
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for t in meta.get("tags", []):
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tags[t] = tags.get(t, 0) + 1
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conn.close()
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# Zusammenfassung bauen
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top_sources = sorted(sources.items(), key=lambda x: x[1], reverse=True)[:5]
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top_tags = sorted(tags.items(), key=lambda x: x[1], reverse=True)[:5]
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content = f"""Daily Summary – {date_str}\n\n"""
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content += f"Neue Engramme: {total_yesterday}\n\n"
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if top_sources:
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content += "Top Quellen:\n" + "\n".join(f"- {src}: {cnt}" for src, cnt in top_sources) + "\n\n"
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if top_tags:
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content += "Top Tags:\n" + "\n".join(f"- {tag}: {cnt}" for tag, cnt in top_tags) + "\n\n"
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content += f"Generiert am {now.isoformat()}"
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# Engramm speichern
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sys.path.insert(0, str(BRAIN_DIR))
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from src.store import EngramStore
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from src.engram import Engram, Grounding
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store = EngramStore(str(DB_PATH))
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eg = Engram.create(
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content=content,
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source="system",
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tags=["daily-summary", "auto"],
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grounding=Grounding.ASSUMPTION,
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)
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eg.metadata.update({
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"title": f"📊 Summary {date_str}",
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"daily_summary": True,
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"date": date_str,
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"new_engrams_count": total_yesterday,
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"top_sources": dict(top_sources),
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"top_tags": dict(top_tags),
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})
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store.save(eg)
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print(json.dumps({
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"success": True,
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"date": date_str,
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"engram_id": str(eg.id),
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"new_engrams": total_yesterday,
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}, indent=2, ensure_ascii=False))
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if __name__ == "__main__":
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run()
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