"""Pydantic schemas for image generation requests/results.""" from datetime import datetime from typing import Any from pydantic import BaseModel, ConfigDict, Field # ============================================================================= # ImageGeneration (request/result) Schemas # ============================================================================= class ImageGenerationCreate(BaseModel): """Schema for creating an image generation request.""" prompt: str = Field( ..., min_length=1, max_length=4000, description="A text description of the desired image(s)", ) model: str | None = Field( None, max_length=200, description="The model to use (e.g., 'dall-e-3', 'gpt-image-1'). Overrides the config model.", ) n: int | None = Field( None, ge=1, le=10, description="Number of images to generate (1-10).", ) quality: str | None = Field(None, max_length=50) size: str | None = Field(None, max_length=50) style: str | None = Field(None, max_length=50) response_format: str | None = Field(None, max_length=50) search_space_id: int = Field( ..., description="Search space ID to associate the generation with" ) image_gen_model_id: int | None = Field( None, description=( "Image generation model ID. " "0 = Auto mode, negative = GLOBAL model, positive = BYOK Model row. " "If not provided, uses the search space's image_gen_model_id preference." ), ) class ImageGenerationRead(BaseModel): """Schema for reading an image generation record.""" id: int prompt: str model: str | None = None n: int | None = None quality: str | None = None size: str | None = None style: str | None = None response_format: str | None = None image_gen_model_id: int | None = None response_data: dict[str, Any] | None = None error_message: str | None = None search_space_id: int created_at: datetime model_config = ConfigDict(from_attributes=True) class ImageGenerationListRead(BaseModel): """Lightweight schema for listing image generations (without full response_data).""" id: int prompt: str model: str | None = None n: int | None = None quality: str | None = None size: str | None = None search_space_id: int created_at: datetime is_success: bool image_count: int | None = None model_config = ConfigDict(from_attributes=True) @classmethod def from_orm_with_count(cls, obj: Any) -> "ImageGenerationListRead": """Create ImageGenerationListRead with computed fields.""" image_count = None if obj.response_data and isinstance(obj.response_data, dict): data = obj.response_data.get("data") if isinstance(data, list): image_count = len(data) return cls( id=obj.id, prompt=obj.prompt, model=obj.model, n=obj.n, quality=obj.quality, size=obj.size, search_space_id=obj.search_space_id, created_at=obj.created_at, is_success=obj.response_data is not None, image_count=image_count, )