"""Pydantic schemas。"""
from __future__ import annotations

from datetime import date, datetime
from typing import Any

from pydantic import BaseModel, Field


class LeagueOut(BaseModel):
    id: int
    code: str
    name: str
    country: str | None


class MatchOut(BaseModel):
    id: int
    league_code: str | None
    season: str | None
    home_team: str
    away_team: str
    home_team_zh: str | None
    away_team_zh: str | None
    match_date: datetime
    match_status: str
    home_goals: int | None
    away_goals: int | None
    match_stage: str | None
    home_xg: float | None = None
    away_xg: float | None = None
    # 比赛详细统计(bzzoiro /events/{id}/stats/),无统计为 None
    stats: dict | None = None
    # 该场比赛的最近预测摘要(按时间倒序,最多 5 条;无预测为空)
    recent_predictions: list[PredictionOut] = []


class MatchListOut(BaseModel):
    items: list[MatchOut]
    next_cursor: str | None
    has_more: bool


class PredictRequest(BaseModel):
    match_id: int
    provider: str | None = None
    model: str | None = None
    prompt_version: str | None = None
    mode: str = Field(
        "multi",
        description="multi(默认,5专家+终裁) | single(单次) | baseline(极简统计基线,不调用 LLM)",
    )
    use_cache: bool = True
    backtest: bool = False
    cutoff_at: str | None = Field(None, description="显式截止时间 ISO8601,用于回测防未来信息")


class PredictOut(BaseModel):
    prediction_id: int
    provider: str
    model: str
    prompt_version: str | None = None
    mode: str = "single"
    pred_home_goals: float | None
    pred_away_goals: float | None
    alt_pred_home_goals: int | None = None
    alt_pred_away_goals: int | None = None
    pred_1x2: str | None
    subjective_confidence: float | None
    reasoning: str | None
    status: str = "success"
    # 成本信息(可选;单次/多专家均有)
    latency_ms: int | None = None
    prompt_tokens: int | None = None
    completion_tokens: int | None = None
    # 限流提示:当请求被节流时告知用户剩余配额(可选)
    rate_limit_remaining: int | None = None
    agent_outputs: list[dict] | None = None
    agent_weights: dict | None = None
    context: str
    latency_ms: int | None


class PredictionOut(BaseModel):
    id: int
    match_id: int
    provider: str
    model: str
    prompt_version: str
    mode: str = "single"
    pred_home_goals: float | None
    pred_away_goals: float | None
    alt_pred_home_goals: int | None = None
    alt_pred_away_goals: int | None = None
    pred_1x2: str | None
    subjective_confidence: float | None
    reasoning: str | None
    status: str = "success"
    agent_outputs: list[dict] | None = None
    agent_weights: dict | None = None
    created_at: datetime
    actual_home_goals: int | None
    actual_away_goals: int | None
    settled: bool


class IngestBzzoiroRequest(BaseModel):
    leagues: list[str] = Field(default_factory=list, description="联赛代码列表,如 ['E0','SP1'];空 = 全部已知联赛")
    date_from: str | None = None
    date_to: str | None = None
    status: str | None = Field(None, description="finished/scheduled;空 = 两者都采集")
    task: str = Field("events", description="采集任务: events(比赛)/standings(积分榜)/stats(统计回填)/all")
    limit: int = Field(100, ge=1, le=500, description="stats 回填单次最大比赛数")
    season: str | None = Field(None, description="standings 赛季,如 '2026-2027';空 = 当前赛季")


class IngestResponse(BaseModel):
    leagues: dict
    total_inserted: int
    total_updated: int
    errors: list[str] = []


class SettleRequest(BaseModel):
    prediction_id: int
    home_goals: int = Field(ge=0, le=30)
    away_goals: int = Field(ge=0, le=30)


class EvalSummaryOut(BaseModel):
    summary: list[dict[str, Any]]
    total_settled: int
    filtered_settled: int
    evaluated: int
    skipped_degraded: int
    skipped_incomplete: int = 0