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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
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海报API模型定义 - 使用 camelCase 命名约定
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"""
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from re import T
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from typing import List, Dict, Any, Optional
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from pydantic import BaseModel, Field
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class PosterGenerateRequest(BaseModel):
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"""海报生成请求模型"""
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templateId: str = Field("vibrant", description="模板ID")
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imagesBase64: Optional[str] = Field(None, description="图像base64编码")
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posterContent: Optional[Dict[str, Any]] = Field(None, description="海报内容,如果提供则直接使用此内容")
contentId: Optional[int] = Field(None, description="内容ID用于AI生成内容")
productId: Optional[int] = Field(None, description="产品ID用于AI生成内容")
scenicSpotId: Optional[int] = Field(None, description="景区ID用于AI生成内容")
numVariations: int = Field(3, description="要生成的海报变体数量, 默认为3", ge=1, le=5)
forceLlmGeneration: bool = Field(False, description="是否强制使用LLM重新生成内容")
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class Config:
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json_schema_extra = {
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"example": {
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"templateId": "vibrant",
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"imagesBase64": "",
"numVariations": 1,
"forceLlmGeneration":False,
"contentId":1,
"productId":1,
"scenicSpotId":1,
"posterContent":{
"title":"天津冒险湾",
"slogan":"天津冒险湾,让你体验不一样的冒险之旅"
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}
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}
}
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class TemplateInfo(BaseModel):
"""模板信息模型"""
id: str
name: str
description: str
handlerPath: str
className: str
isActive: bool
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class TemplateListResponse(BaseModel):
"""模板列表响应模型"""
templates: List[TemplateInfo]
totalCount: int
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class ImageUsageInfo(BaseModel):
"""图像使用信息模型"""
imageId: int
usageCount: int
firstUsedAt: str
lastUsedAt: str
usageContext: List[str]
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class PosterGenerateResponse(BaseModel):
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"""海报生成响应模型"""
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requestId: str
templateId: str
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resultImagesBase64: List[Dict[str, Any]] = Field(description="生成的海报图像(base64编码)列表")
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metadata: Dict[str, Any] = Field(default_factory=dict)
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class ImageUsageRequest(BaseModel):
"""图像使用查询请求模型"""
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imageIds: List[int]
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class ImageUsageResponse(BaseModel):
"""图像使用情况响应模型"""
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requestId: str
imageUsageInfo: List[ImageUsageInfo]
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summary: Dict[str, Any]