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tessl
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pypipkg:pypi/pydantic@2.11.x
tile.json

tessl/pypi-pydantic

tessl install tessl/pypi-pydantic@2.11.0

Data validation using Python type hints

Agent Success

Agent success rate when using this tile

90%

Improvement

Agent success rate improvement when using this tile compared to baseline

1.3x

Baseline

Agent success rate without this tile

69%

rubric.jsonevals/scenario-5/

{
  "context": "This criteria evaluates how well the engineer uses Pydantic's built-in type support including primitives (str, int, float, bool), collections (list, set, dict), and standard library types (UUID, datetime, date, Decimal, EmailStr) to validate and coerce data automatically.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "BaseModel Usage",
      "description": "Uses BaseModel as the base class for EventRegistration to enable automatic validation and type coercion",
      "max_score": 15
    },
    {
      "name": "UUID Type",
      "description": "Uses UUID type for event_id field, enabling automatic validation and conversion from string UUIDs",
      "max_score": 10
    },
    {
      "name": "EmailStr Type",
      "description": "Uses EmailStr or similar email validation type for the email field to validate email addresses",
      "max_score": 10
    },
    {
      "name": "date Type",
      "description": "Uses date type for registration_date field, enabling automatic conversion from string dates",
      "max_score": 10
    },
    {
      "name": "datetime Type",
      "description": "Uses datetime type for event_datetime field, enabling automatic conversion from ISO format strings",
      "max_score": 10
    },
    {
      "name": "PositiveInt Constraint",
      "description": "Uses PositiveInt or Field with gt=0 constraint for ticket_count to ensure positive integers",
      "max_score": 10
    },
    {
      "name": "Decimal Type",
      "description": "Uses Decimal type for total_cost to handle monetary values with precision",
      "max_score": 10
    },
    {
      "name": "Set Collection",
      "description": "Uses set type for tags field to handle unique collections automatically",
      "max_score": 5
    },
    {
      "name": "Dict Collection",
      "description": "Uses dict type with appropriate typing (e.g., dict[str, bool]) for preferences field",
      "max_score": 5
    },
    {
      "name": "Optional Type",
      "description": "Uses Optional type or default value for notes field to make it optional",
      "max_score": 5
    },
    {
      "name": "Serialization Methods",
      "description": "Uses model_dump() or model_dump_json() methods to serialize validated data to dictionary or JSON format",
      "max_score": 10
    }
  ]
}