Protokoll #7706

ID7706
Zeitstempel2025-12-23 08:26:50.538025
Clientroot
IP145.224.96.190
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens888 (Input: 34, Output: 854)
Dauer107 ms
Request-Zeit2025-12-23 08:26:50.538025
Response-Zeit2025-12-23 08:26:50.645500

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/opt\/scripts\/pipeline\/analyze.py",
        "offset": 350,
        "limit": 80
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/opt\/scripts\/pipeline\/analyze.py",
            "content": "            stored += 1\n\n        except Exception as e:\n            db.log(\"WARNING\", f\"Failed to store entity: {e}\")\n\n    return stored\n\n\ndef analyze_document(document_id, text, use_anthropic=True):\n    \"\"\"\n    Full semantic analysis of a document.\n    Extracts entities, relations, and taxonomy classification.\n    \"\"\"\n    db.log(\"INFO\", f\"Starting semantic analysis for document {document_id}\")\n\n    client = get_anthropic_client() if use_anthropic else None\n\n    # Extract entities\n    if client:\n        entities = extract_entities_anthropic(text, client)\n    else:\n        entities = extract_entities_ollama(text)\n\n    db.log(\"INFO\", f\"Extracted {len(entities)} entities\")\n\n    # Store entities\n    if entities:\n        stored = store_entities(document_id, entities)\n        db.log(\"INFO\", f\"Stored {stored} entities\")\n\n        # Extract relations\n        relations = extract_relations(text, entities, client)\n        db.log(\"INFO\", f\"Extracted {len(relations)} relations\")\n\n        # Store relations\n        for rel in relations:\n            try:\n                # Find entity IDs\n                cursor = db.execute(\"SELECT id FROM entities WHERE name = %s LIMIT 1\", (rel[\"source\"],))\n                source = cursor.fetchone()\n                cursor.close()\n\n                cursor = db.execute(\"SELECT id FROM entities WHERE name = %s LIMIT 1\", (rel[\"target\"],))\n                target = cursor.fetchone()\n                cursor.close()\n\n                if source and target:\n                    # Store in entity_relations (raw pipeline data)\n                    cursor = db.execute(\n                        \"\"\"INSERT IGNORE INTO entity_relations\n                           (source_entity_id, target_entity_id, relation_type, created_at)\n                           VALUES (%s, %s, %s, NOW())\"\"\",\n                        (source[\"id\"], target[\"id\"], rel[\"relation\"]),\n                    )\n                    db.commit()\n                    cursor.close()\n\n                    # Store in entity_ontology (for semantic explorer)\n                    cursor = db.execute(\n                        \"\"\"INSERT IGNORE INTO entity_ontology\n                           (source_entity_id, target_entity_id, relation_type, direction,\n                            strength, source_type, source_id, created_at)\n                           VALUES (%s, %s, %s, 'unidirectional', 1.0, 'document', %s, NOW())\"\"\",\n                        (source[\"id\"], target[\"id\"], rel[\"relation\"], document_id),\n                    )\n                    db.commit()\n                    cursor.close()\n            except Exception as e:\n                db.log(\"WARNING\", f\"Failed to store relation: {e}\")\n\n    # Taxonomy classification\n    taxonomy = classify_taxonomy(text, client)\n    db.log(\"INFO\", f\"Classified into {len(taxonomy.get('categories', []))} categories\")\n\n    # Store taxonomy assignments\n    for category in taxonomy.get(\"categories\", []):\n        try:\n            cursor = db.execute(\"SELECT id FROM taxonomy_terms WHERE name = %s LIMIT 1\", (category,))\n            term = cursor.fetchone()\n            cursor.close()",
            "numLines": 80,
            "startLine": 350,
            "totalLines": 653
        }
    }
}
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