{
  "context": "This evaluation assesses how effectively the engineer utilizes the @lightdash/common package for parsing dbt manifest files and extracting model metadata. The focus is on proper use of package-provided types, parsing functions, and data structures specific to dbt manifest handling.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Manifest Type Usage",
      "description": "Uses @lightdash/common's DbtManifest or similar manifest type definitions from the package instead of defining custom manifest types from scratch",
      "max_score": 25
    },
    {
      "name": "Model Node Types",
      "description": "Uses @lightdash/common's DbtNode, DbtModelNode, or equivalent type definitions for representing dbt models from the manifest nodes",
      "max_score": 20
    },
    {
      "name": "Column Metadata Types",
      "description": "Uses @lightdash/common's DbtColumn or similar column type definitions for extracting column metadata (name, type, description)",
      "max_score": 15
    },
    {
      "name": "Manifest Parsing Functions",
      "description": "Leverages any parsing utilities or helper functions from @lightdash/common for processing manifest structure rather than implementing custom JSON traversal logic",
      "max_score": 20
    },
    {
      "name": "Model Filtering Logic",
      "description": "Uses @lightdash/common utilities or type guards to correctly identify and filter model nodes from the manifest's nodes collection (models vs. other node types like tests, sources, etc.)",
      "max_score": 15
    },
    {
      "name": "Package Import Strategy",
      "description": "Properly imports relevant types and utilities from @lightdash/common using appropriate import statements",
      "max_score": 5
    }
  ]
}