{
  "context": "This criteria evaluates how well the engineer uses the influxdb-client-python package to implement basic query operations. The focus is on proper use of the InfluxDBClient, query_api, Flux query language syntax, and result processing methods.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Client initialization",
      "description": "Uses InfluxDBClient class to initialize a connection with url, token, and org parameters",
      "max_score": 15
    },
    {
      "name": "QueryApi acquisition",
      "description": "Obtains query API using client.query_api() method",
      "max_score": 10
    },
    {
      "name": "Flux query syntax",
      "description": "Constructs valid Flux queries using from() function with bucket parameter and range() function for time filtering",
      "max_score": 25
    },
    {
      "name": "Query execution",
      "description": "Executes queries using query_api.query() method or similar query methods (query_stream, query_data_frame)",
      "max_score": 15
    },
    {
      "name": "Predicate filtering",
      "description": "Uses Flux filter() function with proper predicate syntax (r[\"tag_name\"] == \"value\") to filter by tags",
      "max_score": 20
    },
    {
      "name": "Result processing",
      "description": "Processes FluxTable and FluxRecord objects to extract measurement, tags, fields, and timestamps from query results",
      "max_score": 10
    },
    {
      "name": "Connection cleanup",
      "description": "Properly closes the client connection using client.close() or context manager pattern",
      "max_score": 5
    }
  ]
}