{
"event": "PreToolUse",
"tool_name": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/db.py",
"offset": 360,
"limit": 30
}
}
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/db.py",
"content": " if chunks is not None:\n data[\"chunks_created\"] = chunks\n if embeddings is not None:\n data[\"embeddings_created\"] = embeddings\n if data:\n self._update(**data)\n\n def add_log(self, message: str):\n \"\"\"Add log line and update log_tail.\"\"\"\n from datetime import datetime\n\n timestamp = datetime.now().strftime(\"%H:%M:%S\")\n self.log_lines.append(f\"[{timestamp}] {message}\")\n if len(self.log_lines) > self.max_log_lines:\n self.log_lines = self.log_lines[-self.max_log_lines :]\n self._update(log_tail=\"\\n\".join(self.log_lines))\n\n def complete(self, status: str = \"completed\", error: str = None):\n \"\"\"Mark run as complete or failed.\"\"\"\n from datetime import datetime\n\n data = {\n \"status\": status,\n \"completed_at\": datetime.now().strftime(\"%Y-%m-%d %H:%M:%S\"),\n \"current_step\": None,\n \"current_document\": None,\n }\n if error:\n data[\"error_log\"] = error\n self._update(**data)",
"numLines": 30,
"startLine": 360,
"totalLines": 414
}
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}