from datetime import datetime
from typing import List, Optional

from pydantic import BaseModel, ConfigDict, Field


class UserTopicPreferenceCreate(BaseModel):
    """新增用户兴趣词请求体。"""
    interested_keyword: str = Field(..., min_length=1, max_length=100, description="用户感兴趣的关键词")


class UserTopicPreferenceResponse(BaseModel):
    """用户兴趣词响应体。"""
    id: int
    user_id: int
    interested_keyword: str
    created_at: datetime

    model_config = ConfigDict(from_attributes=True)


class EventMatchSemanticHit(BaseModel):
    """语义命中的明细。"""
    preference_keyword: str
    topic_keyword: str
    similarity: float


class MatchedEventResponse(BaseModel):
    """推荐事件响应体。"""
    event_id: int
    unified_title: str
    summary: Optional[str]
    hot_score: int
    created_at: datetime
    tags: List[str] = Field(default_factory=list)
    match_score: float
    exact_hits: List[str] = Field(default_factory=list)
    semantic_hits: List[EventMatchSemanticHit] = Field(default_factory=list)


class UserPreferenceRecommendationResponse(BaseModel):
    """用户兴趣推荐结果。"""
    user_id: int
    total: int
    data: List[MatchedEventResponse] = Field(default_factory=list)