{
  "context": "This criteria evaluates how well the engineer uses influxdb-client-python's custom data type serialization capabilities, specifically Point.from_dict() with field type specifications, automatic NamedTuple serialization, and automatic Dataclass serialization for ingesting sensor data.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Point.from_dict() usage",
      "description": "Uses Point.from_dict() to convert dictionary data to Point objects for temperature sensor data ingestion",
      "max_score": 25
    },
    {
      "name": "field_types parameter",
      "description": "Correctly specifies field_types parameter in Point.from_dict() to ensure pressure field is serialized as unsigned integer (uint) while temperature and humidity are floats",
      "max_score": 20
    },
    {
      "name": "NamedTuple serialization",
      "description": "Correctly writes NamedTuple data directly using write_api.write() which automatically serializes NamedTuple via _asdict() method",
      "max_score": 20
    },
    {
      "name": "Dataclass serialization",
      "description": "Correctly writes Dataclass instances directly using write_api.write() which automatically serializes dataclasses to InfluxDB format",
      "max_score": 20
    },
    {
      "name": "record_measurement_key parameter",
      "description": "Uses record_measurement_key parameter when calling Point.from_dict() or uses appropriate measurement name specification for structured data types",
      "max_score": 10
    },
    {
      "name": "write_api initialization",
      "description": "Properly obtains write_api instance from the InfluxDBClient using client.write_api() method with appropriate write options",
      "max_score": 5
    }
  ]
}