{
  "context": "This criteria evaluates how well the engineer uses Apache Superset's dataset certification and documentation APIs to implement a certification manager. The focus is on proper usage of certification-related models, methods, and patterns from the superset.connectors.sqla.models and superset.datasets.api modules.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Dataset model usage",
      "description": "Uses superset.connectors.sqla.models.SqlaTable or BaseDatasource for dataset representation and management",
      "max_score": 25
    },
    {
      "name": "Certification property implementation",
      "description": "Properly implements certification status tracking using is_certified property and certification metadata fields (certified_by, certification_details)",
      "max_score": 25
    },
    {
      "name": "Dataset API integration",
      "description": "Uses superset.datasets.api.DatasetRestApi or equivalent API methods for dataset CRUD operations and certification management",
      "max_score": 20
    },
    {
      "name": "Timestamp handling",
      "description": "Correctly manages certification timestamps using SQLAlchemy datetime fields or similar date handling mechanisms",
      "max_score": 15
    },
    {
      "name": "Query and filtering",
      "description": "Implements proper querying/filtering of datasets by certification status using SQLAlchemy query methods or REST API filters",
      "max_score": 15
    }
  ]
}