Protokoll #17003

ID17003
Zeitstempel2025-12-26 02:46:03.279801
Clientroot
IP145.224.72.140
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens1,334 (Input: 34, Output: 1,300)
Dauer84 ms
Request-Zeit2025-12-26 02:46:03.279801
Response-Zeit2025-12-26 02:46:03.363899

Request

{
    "event": "PreToolUse",
    "tool_name": "Read",
    "tool_input": {
        "file_path": "\/var\/www\/scripts\/pipeline\/db.py",
        "offset": 403,
        "limit": 160
    }
}

Response

{
    "tool_response": {
        "type": "text",
        "file": {
            "filePath": "\/var\/www\/scripts\/pipeline\/db.py",
            "content": "    def add_chunk_taxonomy(\n        self,\n        chunk_id: int,\n        term_id: int,\n        confidence: float = 0.7,\n        source: str = \"auto\",\n    ) -> int | None:\n        \"\"\"\n        Add taxonomy mapping for a chunk.\n\n        Args:\n            chunk_id: Chunk ID\n            term_id: Taxonomy term ID\n            confidence: Confidence score (0.0-1.0)\n            source: 'auto' or 'manual'\n\n        Returns:\n            Mapping ID or None if already exists\n        \"\"\"\n        # Check if mapping already exists\n        cursor = self.execute(\n            \"SELECT id FROM chunk_taxonomy WHERE chunk_id = %s AND taxonomy_term_id = %s\",\n            (chunk_id, term_id),\n        )\n        existing = cursor.fetchone()\n        cursor.close()\n\n        if existing:\n            return None\n\n        try:\n            cursor = self.execute(\n                \"\"\"INSERT INTO chunk_taxonomy (chunk_id, taxonomy_term_id, confidence, source, created_at)\n                   VALUES (%s, %s, %s, %s, NOW())\"\"\",\n                (chunk_id, term_id, confidence, source),\n            )\n            self.commit()\n            mapping_id = cursor.lastrowid\n            cursor.close()\n            return mapping_id\n        except Exception as e:\n            self.log(\"WARNING\", f\"Failed to add chunk taxonomy: {e}\")\n            return None\n\n    def get_chunk_taxonomies(self, chunk_id: int) -> list:\n        \"\"\"\n        Get all taxonomy mappings for a chunk.\n\n        Args:\n            chunk_id: Chunk ID\n\n        Returns:\n            List of taxonomy mappings with term details\n        \"\"\"\n        cursor = self.execute(\n            \"\"\"SELECT ct.*, tt.name as term_name, tt.path as term_path\n               FROM chunk_taxonomy ct\n               JOIN taxonomy_terms tt ON ct.taxonomy_term_id = tt.id\n               WHERE ct.chunk_id = %s\n               ORDER BY ct.confidence DESC\"\"\",\n            (chunk_id,),\n        )\n        results = cursor.fetchall()\n        cursor.close()\n        return results\n\n    # Entity Taxonomy Mapping\n    def add_entity_taxonomy(\n        self,\n        entity_id: int,\n        term_id: int,\n        relevance: float = 0.7,\n        validated: bool = False,\n    ) -> int | None:\n        \"\"\"\n        Add taxonomy mapping for an entity.\n\n        Args:\n            entity_id: Entity ID\n            term_id: Taxonomy term ID\n            relevance: Relevance score (0.0-1.0)\n            validated: Whether manually validated\n\n        Returns:\n            Mapping ID or None if already exists\n        \"\"\"\n        # Check if mapping already exists\n        cursor = self.execute(\n            \"SELECT id FROM entity_taxonomy_mapping WHERE entity_id = %s AND taxonomy_term_id = %s\",\n            (entity_id, term_id),\n        )\n        existing = cursor.fetchone()\n        cursor.close()\n\n        if existing:\n            return None\n\n        try:\n            cursor = self.execute(\n                \"\"\"INSERT INTO entity_taxonomy_mapping\n                   (entity_id, taxonomy_term_id, relevance, validated, created_at)\n                   VALUES (%s, %s, %s, %s, NOW())\"\"\",\n                (entity_id, term_id, relevance, 1 if validated else 0),\n            )\n            self.commit()\n            mapping_id = cursor.lastrowid\n            cursor.close()\n            return mapping_id\n        except Exception as e:\n            self.log(\"WARNING\", f\"Failed to add entity taxonomy: {e}\")\n            return None\n\n    def get_entity_taxonomies(self, entity_id: int) -> list:\n        \"\"\"\n        Get all taxonomy mappings for an entity.\n\n        Args:\n            entity_id: Entity ID\n\n        Returns:\n            List of taxonomy mappings with term details\n        \"\"\"\n        cursor = self.execute(\n            \"\"\"SELECT etm.*, tt.name as term_name, tt.path as term_path\n               FROM entity_taxonomy_mapping etm\n               JOIN taxonomy_terms tt ON etm.taxonomy_term_id = tt.id\n               WHERE etm.entity_id = %s\n               ORDER BY etm.relevance DESC\"\"\",\n            (entity_id,),\n        )\n        results = cursor.fetchall()\n        cursor.close()\n        return results\n\n    def get_taxonomy_terms(self) -> list:\n        \"\"\"\n        Get all taxonomy terms for matching.\n\n        Returns:\n            List of taxonomy terms with id, name, path\n        \"\"\"\n        cursor = self.execute(\n            \"SELECT id, name, path, parent_id FROM taxonomy_terms ORDER BY path\"\n        )\n        results = cursor.fetchall()\n        cursor.close()\n        return results\n\n    # Provenance Logging\n    def log_provenance(\n        self,\n        artifact_type: str,\n        artifact_id: int,\n        source_type: str,\n        source_id: int = None,\n        pipeline_run_id: int = None,\n        pipeline_step: str = None,\n        model_used: str = None,\n        prompt_version: str = None,\n    ) -> int:",
            "numLines": 160,
            "startLine": 403,
            "totalLines": 718
        }
    }
}
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