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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"""
date: str = Field(..., description="选题日期格式为YYYY-MM-DD")
num_topics: int = Field(5, description="要生成的选题数量", ge=1, le=10)
style: Optional[str] = Field(None, description="内容风格,如'旅游攻略''亲子游'")
target_audience: Optional[str] = Field(None, description="目标受众,如'年轻人''家庭'")
class Config:
schema_extra = {
"example": {
"date": "2023-07-15",
"num_topics": 3,
"style": "旅游攻略",
"target_audience": "年轻人"
}
}
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_20230715_123456",
"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"
}
]
}
}
class ContentRequest(BaseModel):
"""内容生成请求模型"""
topic: Dict[str, Any] = Field(..., description="选题信息")
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"
}
}
}
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")
class Config:
schema_extra = {
"example": {
"request_id": "content_20230715_123456",
"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"]
}
}
}
class JudgeRequest(BaseModel):
"""内容审核请求模型"""
topic: Dict[str, Any] = Field(..., description="选题信息")
content: Dict[str, Any] = Field(..., description="要审核的内容")
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"]
}
}
}
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")
judged_content: Dict[str, Any] = Field(..., description="审核后的内容")
judge_success: bool = Field(..., description="审核是否成功")
class Config:
schema_extra = {
"example": {
"request_id": "judge_20230715_123456",
"topic_index": "1",
"judged_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"]
},
"judge_success": True
}
}
class PipelineRequest(BaseModel):
"""完整流程请求模型"""
date: str = Field(..., description="选题日期格式为YYYY-MM-DD")
num_topics: int = Field(5, description="要生成的选题数量", ge=1, le=10)
style: Optional[str] = Field(None, description="内容风格,如'旅游攻略''亲子游'")
target_audience: Optional[str] = Field(None, description="目标受众,如'年轻人''家庭'")
skip_judge: bool = Field(False, description="是否跳过内容审核步骤")
class Config:
schema_extra = {
"example": {
"date": "2023-07-15",
"num_topics": 3,
"style": "旅游攻略",
"target_audience": "年轻人",
"skip_judge": False
}
}
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_20230715_123456",
"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
}
}
}
}