{
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"tool_name": "Read",
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"file_path": "\/var\/www\/scripts\/pipeline\/pipeline.py",
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"content": " return \"cancelled\", len(chunks), 0\n\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",
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