{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/semantic_chunk_analyzer.py",
"offset": 590,
"limit": 30
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/semantic_chunk_analyzer.py",
"content": "\n print(f\"Analysiere {len(chunks)} Chunks...\")\n\n success = 0\n failed = 0\n\n for i, chunk in enumerate(chunks, 1):\n print(f\"[{i}\/{len(chunks)}] Chunk #{chunk['id']}...\", end=\" \")\n\n try:\n result = self.analyze_chunk(chunk)\n if result[\"success\"]:\n print(f\"✓ {result.get('entities', 0)} Entitäten, {result.get('categories', [])}\")\n success += 1\n else:\n print(\"✗ Fehler\")\n failed += 1\n except Exception as e:\n print(f\"✗ {e}\")\n db.log(\"ERROR\", f\"Chunk {chunk['id']} failed: {e}\")\n failed += 1\n\n db.log(\"INFO\", f\"Analysis complete: {success} success, {failed} failed\")\n return {\"processed\": len(chunks), \"success\": success, \"failed\": failed}\n\n def status(self) -> dict:\n \"\"\"Zeige Status.\"\"\"\n return self.chunk_repo.get_stats()\n\n",
"numLines": 30,
"startLine": 590,
"totalLines": 678
}
}
}