Protokoll #24775

ID24775
Zeitstempel2025-12-28 01:12:57.100039
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens309 (Input: 38, Output: 271)
Dauer94 ms
Request-Zeit2025-12-28 01:12:57.100039
Response-Zeit2025-12-28 01:12:57.194153

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/var\/www\/scripts\/pipeline\/step_entity_enrich.py",
        "offset": 110,
        "limit": 35
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/scripts\/pipeline\/step_entity_enrich.py",
            "content": "3. Falls relevant: Praktische Anwendung oder Beispiele\n\nSchreibe NUR die Beschreibung (3-5 Sätze), keine Überschriften oder Formatierung.\nSprache: Deutsch\"\"\"\n\n        return self.prompt_template\n\n    def _get_entities_to_enrich(self, limit=100):\n        \"\"\"Get entities with short or missing descriptions.\"\"\"\n        cursor = db.execute(\"\"\"\n            SELECT id, name, type, description\n            FROM entities\n            WHERE description IS NULL\n               OR CHAR_LENGTH(description) < %s\n            ORDER BY id\n            LIMIT %s\n        \"\"\", (MIN_DESCRIPTION_LENGTH, limit))\n        entities = cursor.fetchall()\n        cursor.close()\n        return entities\n\n    def _get_entity_context(self, entity_id, max_chunks=3):\n        \"\"\"Get context from chunks where this entity appears.\"\"\"\n        cursor = db.execute(\"\"\"\n            SELECT c.content",
            "numLines": 25,
            "startLine": 65,
            "totalLines": 235
        }
    }
}
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