from typing import *
from pydantic import BaseModel, Field
[docs]
class UpdateMetricRequest(BaseModel):
"""
UpdateMetricRequest model
"""
model_config = {"populate_by_name": True, "validate_assignment": True}
name: Optional[str] = Field(validation_alias="name", default=None)
type: Optional[str] = Field(validation_alias="type", default=None)
criteria: Optional[str] = Field(validation_alias="criteria", default=None)
description: Optional[str] = Field(validation_alias="description", default=None)
return_type: Optional[str] = Field(validation_alias="return_type", default=None)
enabled_in_prod: Optional[bool] = Field(validation_alias="enabled_in_prod", default=None)
needs_ground_truth: Optional[bool] = Field(validation_alias="needs_ground_truth", default=None)
sampling_percentage: Optional[float] = Field(validation_alias="sampling_percentage", default=None)
model_provider: Optional[str] = Field(validation_alias="model_provider", default=None)
model_name: Optional[str] = Field(validation_alias="model_name", default=None)
scale: Optional[int] = Field(validation_alias="scale", default=None)
threshold: Optional[Dict[str, Any]] = Field(validation_alias="threshold", default=None)
categories: Optional[List[Any]] = Field(validation_alias="categories", default=None)
child_metrics: Optional[List[Any]] = Field(validation_alias="child_metrics", default=None)
filters: Optional[Dict[str, Any]] = Field(validation_alias="filters", default=None)
id: str = Field(validation_alias="id")