Data validation using Python type hints
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{
"context": "This criteria evaluates how well the engineer uses Pydantic's ConfigDict to configure model-wide validation behavior, specifically focusing on strict validation, assignment validation, extra field handling, and string transformations.",
"type": "weighted_checklist",
"checklist": [
{
"name": "ConfigDict usage",
"description": "The model uses ConfigDict (either as model_config class attribute or in the model definition) to configure model-wide behavior",
"max_score": 15
},
{
"name": "Strict validation",
"description": "ConfigDict includes strict=True to enable strict type validation and prevent type coercion",
"max_score": 20
},
{
"name": "Assignment validation",
"description": "ConfigDict includes validate_assignment=True to revalidate fields when attributes are reassigned after initialization",
"max_score": 20
},
{
"name": "Extra fields handling",
"description": "ConfigDict includes extra='forbid' to reject any undefined fields not present in the model schema",
"max_score": 20
},
{
"name": "String whitespace stripping",
"description": "ConfigDict includes str_strip_whitespace=True to automatically strip leading and trailing whitespace from string inputs",
"max_score": 20
},
{
"name": "Field constraints",
"description": "Uses Field with gt=0 constraint for max_connections to enforce positive integer requirement",
"max_score": 5
}
]
}Install with Tessl CLI
npx tessl i tessl/pypi-pydanticdocs
evals
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