{
"event": "PreToolUse",
"tool_name": "mcp__mcp-tasks__tasks_result",
"tool_input": {
"id": 420,
"response": "## Phase 4 abgeschlossen: Async Semantic Queue Worker\n\n### Neue Dateien\n\n**semantic_worker.py**\n```python\nclass SemanticWorker:\n def process_batch(limit: int) -> dict # Batch verarbeiten\n def run_daemon(batch_size, sleep) # Daemon-Modus\n def get_status() -> dict # Queue-Status\n def retry_failed(max_retries) -> int # Fehlgeschlagene zurücksetzen\n def clear_stale(hours) -> int # Hängende Items zurücksetzen\n```\n\n**CLI-Optionen:**\n```bash\npython semantic_worker.py # Batch (5 Items)\npython semantic_worker.py --limit 10 # Batch (10 Items)\npython semantic_worker.py --daemon # Daemon-Modus\npython semantic_worker.py --status # Queue-Status\npython semantic_worker.py --retry # Fehlgeschlagene wiederholen\npython semantic_worker.py --clear-stale # Hängende zurücksetzen\npython semantic_worker.py --anthropic # Mit Anthropic statt Ollama\n```\n\n### Systemd Service\n\n**\/etc\/systemd\/system\/semantic-worker.service**\n- Läuft als Daemon im Hintergrund\n- Verarbeitet 5 Items pro Batch, 60s Pause bei leerer Queue\n- Auto-Restart bei Fehlern\n- Logging via journald\n\n### Helper Script\n\n**\/var\/www\/scripts\/semantic-queue.sh**\n```bash\nsemantic-queue.sh status # Status anzeigen\nsemantic-queue.sh process # Batch verarbeiten\nsemantic-queue.sh daemon # Daemon starten (Vordergrund)\nsemantic-queue.sh start # Systemd Service starten\nsemantic-queue.sh stop # Systemd Service stoppen\nsemantic-queue.sh logs # Logs anzeigen\nsemantic-queue.sh enable # Auto-Start aktivieren\n```\n\n### Test-Ergebnisse ✅\n```\n=== Semantic Queue Status ===\n\nQueue:\n Total: 0\n Pending: 0\n Completed: 0\n \nDocument Semantic Status:\n pending: 1\n```\n\n### Nutzung\n\n**Manuell (Cron):**\n```cron\n*\/5 * * * * \/var\/www\/scripts\/semantic-queue.sh process\n```\n\n**Als Service:**\n```bash\nsystemctl enable semantic-worker\nsystemctl start semantic-worker\n```",
"executor": "claude",
"executor_type": "claude",
"model_name": "claude-opus-4-5-20251101",
"status": "success"
}
}
{
"tool_response": [
{
"type": "text",
"text": "{\n \"success\": true,\n \"result\": {\n \"id\": 407,\n \"task_id\": 420,\n \"executor\": \"claude\",\n \"executor_type\": \"claude\",\n \"model_name\": \"claude-opus-4-5-20251101\",\n \"request\": null,\n \"response\": \"## Phase 4 abgeschlossen: Async Semantic Queue Worker\\n\\n### Neue Dateien\\n\\n**semantic_worker.py**\\n```python\\nclass SemanticWorker:\\n def process_batch(limit: int) -> dict # Batch verarbeiten\\n def run_daemon(batch_size, sleep) # Daemon-Modus\\n def get_status() -> dict # Queue-Status\\n def retry_failed(max_retries) -> int # Fehlgeschlagene zurücksetzen\\n def clear_stale(hours) -> int # Hängende Items zurücksetzen\\n```\\n\\n**CLI-Optionen:**\\n```bash\\npython semantic_worker.py # Batch (5 Items)\\npython semantic_worker.py --limit 10 # Batch (10 Items)\\npython semantic_worker.py --daemon # Daemon-Modus\\npython semantic_worker.py --status # Queue-Status\\npython semantic_worker.py --retry # Fehlgeschlagene wiederholen\\npython semantic_worker.py --clear-stale # Hängende zurücksetzen\\npython semantic_worker.py --anthropic # Mit Anthropic statt Ollama\\n```\\n\\n### Systemd Service\\n\\n**\/etc\/systemd\/system\/semantic-worker.service**\\n- Läuft...\",\n \"status\": \"success\",\n \"error_message\": null,\n \"tokens_input\": 0,\n \"tokens_output\": 0,\n \"tokens_total\": 0,\n \"cost_usd\": 0.0,\n \"duration_ms\": 1,\n \"created_at\": \"2025-12-27T00:20:31.079676\"\n },\n \"message\": \"Result saved for Task #420\"\n}"
}
]
}