{
  "context": "This evaluation assesses how well the engineer uses influxdb-client-python's query API to retrieve data in different output formats (FluxTable, CSV, DataFrame). The focus is on correct usage of query_api methods and understanding of the different result format options provided by the library.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Query API initialization",
      "description": "Creates a query API instance using client.query_api() method",
      "max_score": 10
    },
    {
      "name": "FluxTable format usage",
      "description": "Uses query_api.query() method to retrieve results as FluxTable structures for the structured output format",
      "max_score": 25
    },
    {
      "name": "FluxRecord processing",
      "description": "Correctly iterates through FluxTable results and accesses FluxRecord properties (measurement, values dict, timestamp) to extract data",
      "max_score": 20
    },
    {
      "name": "CSV format usage",
      "description": "Uses query_api.query_csv() method to retrieve results as CSV for the csv output format",
      "max_score": 20
    },
    {
      "name": "DataFrame format usage",
      "description": "Uses query_api.query_data_frame() method to retrieve results as a Pandas DataFrame for the summary output format",
      "max_score": 15
    },
    {
      "name": "Flux query execution",
      "description": "Correctly passes a Flux query string to the query methods to retrieve temperature data from the specified bucket",
      "max_score": 10
    }
  ]
}