Protokoll #32325

ID32325
Zeitstempel2026-01-02 03:52:54.211603
Clientroot
IP145.224.72.245
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens522 (Input: 43, Output: 479)
Dauer82 ms
Request-Zeit2026-01-02 03:52:54.211603
Response-Zeit2026-01-02 03:52:54.293790

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/var\/www\/migration\/content-pipeline\/src\/analyzers\/semantic_analyzer.py",
        "offset": 85,
        "limit": 40
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/migration\/content-pipeline\/src\/analyzers\/semantic_analyzer.py",
            "content": "        # Parse response using DRY utility\n        result = parse_semantic_response(response_text)\n\n        # Check if we got valid results\n        if result.get(\"summary\") or result.get(\"keywords\"):\n            cursor = db.execute(\n                \"\"\"INSERT INTO chunk_semantics\n                   (chunk_id, summary, keywords, sentiment, topics, language, analyzed_at, analysis_model)\n                   VALUES (%s, %s, %s, %s, %s, 'de', NOW(), %s)\n                   ON DUPLICATE KEY UPDATE\n                   summary = VALUES(summary), keywords = VALUES(keywords),\n                   sentiment = VALUES(sentiment), topics = VALUES(topics),\n                   analyzed_at = NOW(), analysis_model = VALUES(analysis_model)\"\"\",\n                (\n                    chunk_id,\n                    result.get(\"summary\", \"\"),\n                    json.dumps(result.get(\"keywords\", []), ensure_ascii=False),\n                    result.get(\"sentiment\", \"neutral\"),\n                    json.dumps(result.get(\"topics\", []), ensure_ascii=False),\n                    model_name,\n                ),\n            )\n            db.commit()\n            cursor.close()\n            return result\n\n        return None\n\n    except Exception as e:\n        db.log(\"ERROR\", f\"Chunk semantics analysis failed: {e}\")\n        return None\n\n\ndef analyze_chunks_semantics(document_id: int, client=None, progress=None) -> int:\n    \"\"\"Analyze all chunks of a document for semantics.\"\"\"\n    cursor = db.execute(\"SELECT id, content FROM chunks WHERE document_id = %s ORDER BY chunk_index\", (document_id,))\n    chunks = cursor.fetchall()\n    cursor.close()\n\n    total = len(chunks)",
            "numLines": 40,
            "startLine": 85,
            "totalLines": 142
        }
    }
}
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