#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
内容整合API模型
"""

from typing import List, Optional, Dict, Any, Union
from pydantic import BaseModel, Field, field_validator, model_validator
from typing import Dict


class Base64Document(BaseModel):
    """Base64编码的文档模型"""
    filename: str = Field(..., description="文件名")
    content: str = Field(..., description="Base64编码的文件内容")
    mime_type: str = Field(..., description="文件MIME类型")


class ContentIntegrationRequest(BaseModel):
    """内容整合请求模型"""
    documents: Optional[List[Base64Document]] = Field(default=None, description="Base64编码的文档列表")
    keywords: Optional[List[str]] = Field(default=None, description="搜索关键词列表")
    cookies: Optional[str] = Field(default=None, description="小红书Cookie字符串")
    
    # 小红书搜索配置
    sort_type: Optional[int] = Field(default=2, ge=0, le=4, description="排序方式: 0综合排序, 1最新, 2最多点赞, 3最多评论, 4最多收藏")
    note_type: Optional[int] = Field(default=2, ge=0, le=2, description="笔记类型: 0不限, 1视频笔记, 2普通笔记")
    note_time: Optional[int] = Field(default=0, ge=0, le=3, description="笔记时间: 0不限, 1一天内, 2一周内, 3半年内")
    note_range: Optional[int] = Field(default=0, ge=0, le=3, description="笔记范围: 0不限, 1已看过, 2未看过, 3已关注")
    pos_distance: Optional[int] = Field(default=0, ge=0, le=2, description="位置距离: 0不限, 1同城, 2附近")
    query_num: Optional[int] = Field(default=10, ge=1, le=50, description="每个关键词搜索的笔记数量")
    
    # 文档校验
    @field_validator('documents')
    def validate_documents(cls, v):
        if v is not None and not v:
            raise ValueError("如果提供文档，列表不能为空")
        return v

    # 关键词校验
    @field_validator('keywords')
    def validate_keywords(cls, v):
        if v is not None:
            if not v:
                raise ValueError("如果提供关键词，列表不能为空")
            cleaned = list({k.strip() for k in v if k.strip()})
            if not cleaned:
                raise ValueError("关键词列表不能全为空")
            return cleaned
        return v

    # Cookie校验
    @field_validator('cookies')
    def validate_cookies(cls, v):
        if v is not None:
            if not v.strip():
                raise ValueError("如果提供Cookie，不能为空")
            return v.strip()
        return v

    # 跨字段校验
    @model_validator(mode='after')
    def validate_request(cls, values):
        has_documents = values.documents is not None
        has_keywords = values.keywords is not None
        has_cookies = values.cookies is not None

        if not has_documents and not (has_keywords and has_cookies):
            raise ValueError("必须提供文档或(关键词和Cookie)中的至少一项")

        if has_keywords and not has_cookies:
            raise ValueError("提供关键词时必须提供Cookie")

        if has_cookies and not has_keywords:
            raise ValueError("提供Cookie时必须提供关键词")

        return values

    class Config:
        json_schema_extra = {
            "example": {
                "documents": [
                    {
                        "filename": "travel_guide.pdf",
                        "content": "base64_encoded_content_here",
                        "mime_type": "application/pdf"
                    }
                ],
                "keywords": ["北京旅游", "故宫攻略", "长城一日游"],
                "cookies": "a1=your_cookie_value; web_session=your_session_value",
                "sort_type": 2,
                "note_type": 2,
                "note_time": 0,
                "note_range": 0,
                "pos_distance": 0,
                "query_num": 10
            }
        }


class DocumentInfo(BaseModel):
    """文档信息模型"""
    file_path: str = Field(..., description="文件路径")
    file_type: str = Field(..., description="文件类型")
    content_length: int = Field(..., description="内容长度")


class XHSInfo(BaseModel):
    """小红书信息模型"""
    total_notes: int = Field(..., description="笔记总数")
    authors: List[str] = Field(..., description="作者列表")
    total_interactions: int = Field(..., description="总互动数")


class SearchConfig(BaseModel):
    """搜索配置模型"""
    sort_type: int = Field(..., description="排序方式")
    note_type: int = Field(..., description="笔记类型")
    note_time: int = Field(..., description="笔记时间")
    note_range: int = Field(..., description="笔记范围")
    pos_distance: int = Field(..., description="位置距离")
    query_num: int = Field(..., description="每个关键词搜索的笔记数量")


class InputSummary(BaseModel):
    """输入摘要模型"""
    document_count: int = Field(..., description="文档数量")
    xhs_notes_count: int = Field(..., description="小红书笔记数量")
    keywords: List[str] = Field(..., description="关键词列表")


class DocumentInfoDetail(BaseModel):
    """详细文档信息模型"""
    documents: List[DocumentInfo] = Field(..., description="文档列表")
    integrated_text_length: int = Field(..., description="整合文本长度")


class ContentIntegrationResponse(BaseModel):
    """内容整合响应模型"""
    success: bool = Field(..., description="是否成功")
    timestamp: str = Field(..., description="时间戳")
    processing_time: str = Field(..., description="处理时间")
    
    # 成功时的字段
    input_summary: Optional[InputSummary] = Field(None, description="输入摘要")
    document_info: Optional[DocumentInfoDetail] = Field(None, description="文档信息")
    xhs_info: Optional[XHSInfo] = Field(None, description="小红书信息")
    integrated_content: Optional[str] = Field(None, description="整合后的内容")
    search_config: Optional[SearchConfig] = Field(None, description="搜索配置")
    
    # 失败时的字段
    error_message: Optional[str] = Field(None, description="错误信息")

    class Config:
        schema_extra = {
            "example": {
                "success": True,
                "timestamp": "20250715_143022",
                "processing_time": "45.32秒",
                "input_summary": {
                    "document_count": 2,
                    "xhs_notes_count": 25,
                    "keywords": ["北京旅游", "故宫攻略"]
                },
                "document_info": {
                    "documents": [
                        {
                            "file_path": "uploads/travel_guide.pdf",
                            "file_type": "pdf",
                            "content_length": 5420
                        }
                    ],
                    "integrated_text_length": 8650
                },
                "xhs_info": {
                    "total_notes": 25,
                    "authors": ["旅游达人小王", "北京导游张三"],
                    "total_interactions": 15420
                },
                "integrated_content": "# 北京旅游全攻略...",
                "search_config": {
                    "sort_type": 2,
                    "note_type": 2,
                    "note_time": 0,
                    "note_range": 0,
                    "pos_distance": 0,
                    "query_num": 10
                }
            }
        }