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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
文字内容API模型定义
"""
from typing import List, Dict, Any, Optional
from pydantic import BaseModel, Field
class TopicRequest(BaseModel):
"""选题生成请求模型"""
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dates: Optional[str] = Field(None, description="日期字符串,可能为单个日期、多个日期用逗号分隔或范围如'2023-01-01 to 2023-01-31'")
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num_topics: int = Field(5, description="要生成的选题数量", ge=1, le=10)
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styles: Optional[List[str]] = Field(None, description="风格列表")
audiences: Optional[List[str]] = Field(None, description="受众列表")
scenic_spots: Optional[List[str]] = Field(None, description="景区列表")
products: Optional[List[str]] = Field(None, description="产品列表")
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class Config:
schema_extra = {
"example": {
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"dates": "2023-07-01 to 2023-07-31",
"num_topics": 5,
"styles": ["旅游攻略", "亲子游"],
"audiences": ["年轻人", "家庭"],
"scenic_spots": ["故宫", "长城"],
"products": ["门票", "导游服务"]
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}
}
class TopicResponse(BaseModel):
"""选题生成响应模型"""
request_id: str = Field(..., description="请求ID")
topics: List[Dict[str, Any]] = Field(..., description="生成的选题列表")
class Config:
schema_extra = {
"example": {
"request_id": "topic-20240715-123456-a1b2c3d4",
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"topics": [
{
"index": "1",
"date": "2023-07-15",
"object": "北京故宫",
"product": "故宫门票",
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"product_logic": "套票包含水上碰碰船等消暑项目,契合夏季游玩需求",
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"style": "旅游攻略",
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"style_logic": "重点解析如何避开高温时段并高效游玩各园区",
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"target_audience": "年轻人",
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"target_audience_logic": "解决家长担心孩子中暑的问题,提供科学游玩方案",
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"logic": "暑期旅游热门景点推荐"
}
]
}
}
class ContentRequest(BaseModel):
"""内容生成请求模型"""
topic: Optional[Dict[str, Any]] = Field(None, description="选题信息")
styles: Optional[List[str]] = Field(None, description="风格列表")
audiences: Optional[List[str]] = Field(None, description="受众列表")
scenic_spots: Optional[List[str]] = Field(None, description="景区列表")
products: Optional[List[str]] = Field(None, description="产品列表")
auto_judge: bool = Field(False, description="是否自动进行内容审核")
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class Config:
schema_extra = {
"example": {
"topic": {
"index": "1",
"date": "2024-07-01",
"style": "攻略风",
"target_audience": "亲子向",
"object": "天津冒险湾",
"product": "冒险湾-2大2小套票"
},
"styles": ["攻略风", "种草风"],
"audiences": ["亲子向", "情侣向"],
"scenic_spots": ["天津冒险湾", "北京故宫"],
"products": ["冒险湾-2大2小套票", "故宫门票"],
"auto_judge": True
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}
}
class ContentResponse(BaseModel):
"""内容生成响应模型"""
request_id: str = Field(..., description="请求ID")
topic_index: str = Field(..., description="选题索引")
content: Dict[str, Any] = Field(..., description="生成的内容")
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judge_success: Optional[bool] = Field(None, description="审核是否成功(仅在启用自动审核时返回)")
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class Config:
schema_extra = {
"example": {
"request_id": "content-20240715-123456-a1b2c3d4",
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"topic_index": "1",
"content": {
"title": "【北京故宫】避开人潮的秘密路线90%的人都不知道!",
"content": "故宫,作为中国最著名的文化遗产之一...",
"tag": ["北京旅游", "故宫", "旅游攻略", "避暑胜地"]
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},
"judge_success": True
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}
}
class JudgeRequest(BaseModel):
"""内容审核请求模型"""
topic: Optional[Dict[str, Any]] = Field(None, description="选题信息")
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content: Dict[str, Any] = Field(..., description="要审核的内容")
styles: Optional[List[str]] = Field(None, description="风格列表")
audiences: Optional[List[str]] = Field(None, description="受众列表")
scenic_spots: Optional[List[str]] = Field(None, description="景区列表")
products: Optional[List[str]] = Field(None, description="产品列表")
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class Config:
schema_extra = {
"example": {
"topic": {
"index": "1",
"date": "2023-07-15",
"object": "北京故宫",
"product": "故宫门票",
"style": "旅游攻略",
"target_audience": "年轻人",
"logic": "暑期旅游热门景点推荐"
},
"content": {
"title": "【北京故宫】避开人潮的秘密路线90%的人都不知道!",
"content": "故宫,作为中国最著名的文化遗产之一...",
"tag": ["北京旅游", "故宫", "旅游攻略", "避暑胜地"]
},
"styles": ["旅游攻略"],
"audiences": ["年轻人"],
"scenic_spots": ["北京故宫"],
"products": ["故宫门票"]
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}
}
class JudgeResponse(BaseModel):
"""内容审核响应模型"""
request_id: str = Field(..., description="请求ID")
topic_index: str = Field(..., description="选题索引")
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content: Dict[str, Any] = Field(..., description="审核后的内容")
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judge_success: bool = Field(..., description="审核是否成功")
class Config:
schema_extra = {
"example": {
"request_id": "judge-20240715-123456-a1b2c3d4",
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"topic_index": "1",
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"content": {
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"title": "【北京故宫】避开人潮的秘密路线90%的人都不知道!",
"content": "故宫,作为中国最著名的文化遗产之一...",
"tag": ["北京旅游", "故宫", "旅游攻略", "避暑胜地"]
},
"judge_success": True
}
}
class PipelineRequest(BaseModel):
"""流水线请求模型"""
dates: Optional[str] = Field(None, description="日期范围,如:'2024-07-01 to 2024-07-31'")
num_topics: int = Field(5, description="要生成的选题数量")
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styles: Optional[List[str]] = Field(None, description="风格列表")
audiences: Optional[List[str]] = Field(None, description="受众列表")
scenic_spots: Optional[List[str]] = Field(None, description="景区列表")
products: Optional[List[str]] = Field(None, description="产品列表")
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skip_judge: bool = Field(False, description="是否跳过内容审核步骤")
auto_judge: bool = Field(False, description="是否在内容生成时进行内嵌审核")
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class Config:
schema_extra = {
"example": {
"dates": "2024-07-01 to 2024-07-31",
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"num_topics": 3,
"styles": ["攻略风", "种草风"],
"audiences": ["亲子向", "情侣向"],
"scenic_spots": ["天津冒险湾", "北京故宫"],
"products": ["冒险湾-2大2小套票", "故宫门票"],
"skip_judge": False,
"auto_judge": True
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}
}
class PipelineResponse(BaseModel):
"""完整流程响应模型"""
request_id: str = Field(..., description="请求ID")
topics: List[Dict[str, Any]] = Field(..., description="生成的选题列表")
contents: Dict[str, Dict[str, Any]] = Field(..., description="生成的内容,键为选题索引")
judged_contents: Dict[str, Dict[str, Any]] = Field(..., description="审核后的内容,键为选题索引")
class Config:
schema_extra = {
"example": {
"request_id": "pipeline-20240715-123456-a1b2c3d4",
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"topics": [
{
"index": "1",
"date": "2023-07-15",
"object": "北京故宫",
"product": "故宫门票",
"style": "旅游攻略",
"target_audience": "年轻人",
"logic": "暑期旅游热门景点推荐"
}
],
"contents": {
"1": {
"title": "【北京故宫】避开人潮的秘密路线90%的人都不知道!",
"content": "故宫,作为中国最著名的文化遗产之一..."
}
},
"judged_contents": {
"1": {
"title": "【北京故宫】避开人潮的秘密路线90%的人都不知道!",
"content": "故宫,作为中国最著名的文化遗产之一...",
"tag": ["北京旅游", "故宫", "旅游攻略", "避暑胜地"],
"judge_success": True
}
}
}
}