{
"event": "PreToolUse",
"tool_name": "mcp__mcp-tasks__tasks_result",
"tool_input": {
"id": 340,
"response": "## Task #340 abgeschlossen: Python Pipeline SRP-Split\n\n### Durchgeführte Refactorings\n\n**1. generate.py (1132 LOC → 88 LOC Wrapper)**\n- Neues Package: `generators\/` mit 7 Modulen\n - `utils.py` (52 LOC) - JSON repair\n - `rag_context.py` (128 LOC) - RAG\/Semantic\/Taxonomy context\n - `config_loader.py` (221 LOC) - Prompts, configs, profiles\n - `persistence.py` (50 LOC) - Version\/source saving\n - `content_generator.py` (399 LOC) - LLM generation\n - `critic.py` (315 LOC) - Critique rounds\n - `__init__.py` (42 LOC) - Re-exports\n\n**2. analyze.py (984 LOC → 56 LOC Wrapper)**\n- Neues Package: `analyzers\/` mit 7 Modulen\n - `client.py` (26 LOC) - Anthropic client\n - `entity_extractor.py` (211 LOC) - Entity extraction + storage\n - `relation_extractor.py` (94 LOC) - Relation extraction\n - `taxonomy_classifier.py` (93 LOC) - Taxonomy classification\n - `semantic_analyzer.py` (102 LOC) - Chunk semantics\n - `statement_analyzer.py` (196 LOC) - SPO statements\n - `document_analyzer.py` (157 LOC) - Full document analysis\n\n**3. semantic_chunk_analyzer.py (677 LOC → 117 LOC Wrapper)**\n- Neues Package: `semantic_chunk\/` mit 6 Modulen\n - `models.py` (36 LOC) - Data classes\n - `ollama_service.py` (60 LOC) - LLM service\n - `analyzers.py` (211 LOC) - Analysis classes\n - `repositories.py` (179 LOC) - DB repositories\n - `pipeline.py` (111 LOC) - Pipeline orchestration\n\n**4. Verbleibende Dateien (keine Änderung nötig)**\n- db.py (568 LOC) - kohäsiv, Database class\n- chunk.py (407 LOC) - unter Limit\n- vision.py (388 LOC) - unter Limit\n- enrich.py (297 LOC) - unter Limit\n\n### Ergebnis\n- **3 große Dateien** (~2800 LOC) → **20 Module** + **3 Wrapper**\n- Alle Module unter 400 LOC\n- Backward-Kompatibilität erhalten\n- Import-Tests erfolgreich",
"executor": "claude-code",
"executor_type": "claude",
"status": "success"
}
}
{
"tool_response": [
{
"type": "text",
"text": "{\n \"success\": true,\n \"result\": {\n \"id\": 329,\n \"task_id\": 340,\n \"executor\": \"claude-code\",\n \"executor_type\": \"claude\",\n \"model_name\": null,\n \"request\": null,\n \"response\": \"## Task #340 abgeschlossen: Python Pipeline SRP-Split\\n\\n### Durchgeführte Refactorings\\n\\n**1. generate.py (1132 LOC → 88 LOC Wrapper)**\\n- Neues Package: `generators\/` mit 7 Modulen\\n - `utils.py` (52 LOC) - JSON repair\\n - `rag_context.py` (128 LOC) - RAG\/Semantic\/Taxonomy context\\n - `config_loader.py` (221 LOC) - Prompts, configs, profiles\\n - `persistence.py` (50 LOC) - Version\/source saving\\n - `content_generator.py` (399 LOC) - LLM generation\\n - `critic.py` (315 LOC) - Critique rounds\\n - `__init__.py` (42 LOC) - Re-exports\\n\\n**2. analyze.py (984 LOC → 56 LOC Wrapper)**\\n- Neues Package: `analyzers\/` mit 7 Modulen\\n - `client.py` (26 LOC) - Anthropic client\\n - `entity_extractor.py` (211 LOC) - Entity extraction + storage\\n - `relation_extractor.py` (94 LOC) - Relation extraction\\n - `taxonomy_classifier.py` (93 LOC) - Taxonomy classification\\n - `semantic_analyzer.py` (102 LOC) - Chunk semantics\\n - `statement_analyzer.py` (196 LOC) - SPO statements\\n - `document_analyzer.py` (157 L...\",\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\": 0,\n \"created_at\": \"2025-12-25T14:06:17.536634\"\n },\n \"message\": \"Result saved for Task #340\"\n}"
}
]
}