Protokoll #27813

ID27813
Zeitstempel2025-12-28 12:24:21.134749
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuspending
Tokens603 (Input: 603, Output: 0)
Dauer-
Request-Zeit2025-12-28 12:24:21.134749
Response-Zeit-

Request

{
    "event": "PostToolUse",
    "tool_name": "Read",
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/scripts\/pipeline\/pipeline.py",
            "content": "\n    # Phase 4: Textsemantik - Analyze chunks\n    if progress:\n        progress.add_log(\"Phase 4: Textsemantik...\")\n\n    # Prepare chunks for analysis\n    chunk_data = [{\"id\": c[\"id\"], \"content\": c[\"content\"]} for c in chunks]\n    analyzed_chunks = text_semantic_analyze.execute(chunk_data, {\"model\": \"mistral\"})\n\n    # Store text semantics\n    text_semantic_store.execute(analyzed_chunks, {})\n\n    if progress and progress.is_cancelled():\n        return \"cancelled\", len(chunks), 0\n\n    # Phase 5-6: Entity + Wissenssemantik\n    if progress:\n        progress.add_log(\"Phase 5-6: Entity-Extraktion + Wissenssemantik...\")\n\n    # Run standard semantic analysis (entities, relations, taxonomy)\n    semantic_step = SemanticStep(db, progress)\n    full_text = extract_step.get_full_text_from_extraction(extraction)\n\n    try:\n        semantic_step.execute(doc_id, full_text, use_anthropic=SEMANTIC_USE_ANTHROPIC)\n    except Exception as e:\n        db.log(\"WARNING\", f\"Semantic analysis failed for {file_name}: {e}\")\n        if progress:\n            progress.add_log(f\"Semantik-Warnung: {str(e)[:50]}\")\n\n    # Load entities for knowledge semantics\n    cursor = db.execute(\n        \"\"\"SELECT e.id, e.name, e.type, c.content as context\n           FROM entities e\n           JOIN chunk_entities ce ON e.id = ce.entity_id\n           JOIN chunks c ON ce.chunk_id = c.id\n           WHERE c.document_id = %s\n           GROUP BY e.id\"\"\",\n        (doc_id,),\n    )\n    entities = cursor.fetchall()\n    cursor.close()\n\n    if entities:\n        # Convert to list of dicts\n        entity_list = [\n            {\"id\": e[\"id\"], \"name\": e[\"name\"], \"type\": e[\"type\"], \"context\": e[\"context\"]}\n            for e in entities\n        ]\n\n        # Analyze knowledge semantics\n        analyzed_entities = knowledge_semantic_analyze.execute(entity_list, {\"model\": \"mistral\"})\n\n        # Store knowledge semantics\n        knowledge_semantic_store.execute(analyzed_entities, {})\n\n    if progress and progress.is_cancelled():\n        return \"cancelled\", len(chunks), 0\n\n    # Phase 10: Retrieval - Embeddings (AFTER semantics!)",
            "numLines": 60,
            "startLine": 235,
            "totalLines": 662
        }
    }
}

Response

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