{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/analyze.py",
"offset": 378,
"limit": 60
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/analyze.py",
"content": " progress.add_log(f\"Analyse: {len(entities)} Entitäten extrahiert\")\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()\n\n if term:\n cursor = db.execute(",
"numLines": 60,
"startLine": 378,
"totalLines": 658
}
}
}