.TopCatsSentiment

gd.validators.TopCatsSentiment

class glyphdeck.validators.TopCatsSentiment(

*,

top_categories: list,

sentiment_score: float,

)

Bases: BaseValidatorModel

Validation model for representing the top sub-categories with an associated overall sentiment score.

_field_count

The number of fields in the model.

Type:

int

top_categories

The top 1 to 5 sub-categories identified inside the input in order of relevance.

Type:

list

sentiment_score

The overall sentiment score.

Type:

float

model_fields: ClassVar[Dict[str, FieldInfo]] = {'sentiment_score': FieldInfo(annotation=float, required=True, description='A 2 decimal value that represents the overall sentiment of the input. Ranges from -1.00 (max negative sentiment) to 1.00 (max positive sentiment), with 0.00 indicating neutral sentiment. It must be between -1.00 and 1.00'), 'top_categories': FieldInfo(annotation=list, required=True, description='The top 1 to 5 sub-categories identified inside the input in order of relevance. Each category name should be concise.')}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

This replaces Model.__fields__ from Pydantic V1.

sentiment_score: float

top_categories: list