Protokoll #10551
| ID | 10551 |
|---|---|
| Zeitstempel | 2025-12-23 15:28:06.745304 |
| Client | root |
| IP | Warning: Undefined array key "request_ip" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 Deprecated: htmlspecialchars(): Passing null to parameter #1 ($string) of type string is deprecated in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 |
| Modell | claude-sonnet-4-20250514 |
| Status | completed |
| Tokens | 386 (Input: 0, Output: 0) |
| Dauer | 118 ms |
| Request-Zeit | Warning: Undefined array key "request_timestamp" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 18 |
| Response-Zeit | - |
Warning: Undefined array key "error_message" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 22
Request
{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/analyze.py",
"offset": 380,
"limit": 30
}
}Response
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/analyze.py",
"content": " # Store entities\n if entities:\n stored = store_entities(document_id, entities)\n db.log(\"INFO\", f\"Stored {stored} entities\")\n if progress:\n progress.add_log(f\"Analyse: {stored} Entitäten gespeichert\")\n\n # Extract relations\n if progress:\n progress.add_log(\"Analyse: Extrahiere Relationen...\")\n relations = extract_relations(text, entities, client)\n db.log(\"INFO\", f\"Extracted {len(relations)} relations\")\n if progress:\n progress.add_log(f\"Analyse: {len(relations)} Relationen extrahiert\")\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(",
"numLines": 30,
"startLine": 380,
"totalLines": 672
}
}
}