AItools-showcase / models.py
charSLee013
Add example generation script and sample images with LFS support
4b828b4
from enum import Enum
from typing import Optional, Any
from datetime import datetime
from pydantic import BaseModel, Field, validator
import uuid
class TaskStatus(str, Enum):
QUEUED = "queued"
PROCESSING = "processing"
COMPLETED = "completed"
FAILED = "failed"
CANCELLED = "cancelled"
class UIState(str, Enum):
IDLE = "idle"
SUBMITTING = "submitting"
QUEUED = "queued"
PROCESSING = "processing"
COMPLETED = "completed"
ERROR = "error"
class TaskInfo(BaseModel):
task_id: str = Field(..., description="Unique task identifier")
status: TaskStatus = Field(..., description="Current task status")
position: int = Field(default=0, description="Queue position")
message: str = Field(default="", description="Status message")
result_url: Optional[str] = Field(default=None, description="Result image URL")
error_message: Optional[str] = Field(default=None, description="Error message if failed")
@validator('task_id')
@classmethod
def validate_task_id(cls, v):
try:
uuid.UUID(v)
return v
except ValueError:
raise ValueError(f"Invalid task ID format: {v}")
class Config:
frozen = True # Immutable
class UIStateInfo(BaseModel):
state: UIState = Field(..., description="Current UI state")
task_id: Optional[str] = Field(default=None, description="Associated task ID")
status_text: str = Field(default="", description="Display status text")
progress_text: str = Field(default="", description="Progress description")
show_image: bool = Field(default=False, description="Whether to show result image")
image_url: Optional[str] = Field(default=None, description="Result image URL")
submit_enabled: bool = Field(default=True, description="Submit button enabled")
cancel_enabled: bool = Field(default=False, description="Cancel button enabled")
timestamp: datetime = Field(default_factory=datetime.now, description="State timestamp")
class Config:
frozen = True # Immutable
class TaskSubmission(BaseModel):
prompt: str = Field(..., min_length=5, max_length=4096, description="Image generation prompt")
width: int = Field(default=1024, description="Image width")
height: int = Field(default=1024, description="Image height")
task_type: str = Field(default="text_to_image", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"task_type": self.task_type,
"input_params": {
"prompt": self.prompt,
"width": self.width,
"height": self.height
}
}
class ImageToImageSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded image data")
task_type: str = Field(default="image_to_image", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data
}
class PhotoStyleSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded image data")
style_preset: str = Field(..., description="Photography style preset")
task_type: str = Field(default="photo_style_transfer", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data,
"style_preset": self.style_preset
}
class InteriorDesignRenderingSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded white model image data")
design_style: str = Field(..., description="Interior design style")
task_type: str = Field(default="interior_design_rendering", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data,
"design_style": self.design_style
}
class WatermarkRemovalSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded image data")
task_type: str = Field(default="watermark_removal", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data
}
class LineArtConversionSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded image data")
task_type: str = Field(default="line_art_conversion", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data
}
class AnimeToRealSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded anime image data")
task_type: str = Field(default="anime_to_real", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data
}
class RealToAnimeSubmission(BaseModel):
image_data: str = Field(..., description="Base64 encoded real image data")
task_type: str = Field(default="real_to_anime", description="Task type")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data
}
class AppSession(BaseModel):
session_id: str = Field(default_factory=lambda: str(uuid.uuid4()), description="Session ID")
current_ui_state: UIStateInfo = Field(default_factory=lambda: UIStateInfo(state=UIState.IDLE), description="Current UI state")
active_task_id: Optional[str] = Field(default=None, description="Currently active task ID")
last_submission: Optional[TaskSubmission] = Field(default=None, description="Last task submission")
created_at: datetime = Field(default_factory=datetime.now, description="Session creation time")
def is_active_task(self, task_id: str) -> bool:
return self.active_task_id == task_id
def can_submit_new_task(self) -> bool:
"""Check if a new task can be submitted based on current UI state"""
current_state = self.current_ui_state
if hasattr(current_state, 'state'):
return current_state.state in {UIState.IDLE, UIState.COMPLETED, UIState.ERROR}
return True # Default to allowing submission if state is unclear
class Config:
frozen = False # Mutable for state updates
class ImageOutpaintingSubmission(BaseModel):
image_data: str = Field(..., description="Base64编码的图片数据")
expand_height: float = Field(default=0.2, description="扩展高度百分比")
expand_width: float = Field(default=0.2, description="扩展宽度百分比")
def to_api_payload(self) -> dict:
return {
"image_data": self.image_data,
"expand_height": self.expand_height,
"expand_width": self.expand_width
}
class FiveViewGenerationSubmission(BaseModel):
image_data: str = Field(..., description="Base64编码的图片数据")
def to_api_payload(self) -> dict:
return {
"image_data": self.image_data
}
class Figure3DSubmission(BaseModel):
image_data: str = Field(..., description="Base64编码的2D角色图片数据")
figure_style: str = Field(..., description="3D手办风格")
resolution: str = Field(
default="square - 1024x1024 (1:1)",
description="图像分辨率"
)
def to_api_payload(self) -> dict:
return {
"image_data": self.image_data,
"figure_style": self.figure_style,
"resolution": self.resolution
}
class CharacterFigureCollaborationSubmission(BaseModel):
image_data: str = Field(..., description="Base64编码的人物全身照片数据")
def to_api_payload(self) -> dict[str, Any]:
return {
"image_data": self.image_data
}