"""Pydantic 请求/响应 Schema 定义"""

from typing import Any

from pydantic import BaseModel, Field

# ==================== 数据采集 ====================


class BatchFetchRequest(BaseModel):
    """批量数据获取请求。"""

    symbols: list[str] = Field(..., description="品种合约代码列表")
    periods: list[str] = Field(default=["5min", "15min", "30min", "60min", "daily"], description="K线周期列表")
    data_type: str = Field(default="futures", description="数据类型: futures/stock")


class CandleItem(BaseModel):
    """单根K线数据。"""

    datetime: str = Field(..., description="K线时间")
    open: float = Field(..., description="开盘价")
    close: float = Field(..., description="收盘价")
    high: float = Field(..., description="最高价")
    low: float = Field(..., description="最低价")
    volume: float = Field(default=0, description="成交量")


class TimeframeData(BaseModel):
    """单个周期的K线数据集合。"""

    period: str = Field(..., description="周期")
    candles: list[CandleItem] = Field(default_factory=list, description="K线列表")
    candle_count: int = Field(default=0, description="K线数量")
    fetched_at: str = Field(default="", description="获取时间")


class SymbolDataResponse(BaseModel):
    """单个品种数据响应。"""

    symbol: str
    data_type: str
    current_price: float | None = None
    timeframes: list[TimeframeData] = Field(default_factory=list)
    source: str = Field(default="cache", description="数据来源: cache/live/live+cache")


class BatchFetchResponse(BaseModel):
    """批量获取响应。"""

    success: list[str] = Field(default_factory=list)
    failed: list[str] = Field(default_factory=list)
    details: dict[str, Any] = Field(default_factory=dict)


class LatestDataResponse(BaseModel):
    """最新数据响应。"""

    symbol: str
    data_type: str
    current_price: float | None = None
    timeframes: list[TimeframeData] = Field(default_factory=list)
    source: str = "cache"


# ==================== 定时任务 ====================


class CreateTaskRequest(BaseModel):
    """创建定时任务请求。"""

    symbol: str = Field(..., description="品种合约代码")
    data_type: str = Field(default="futures", description="数据类型")
    periods: list[str] = Field(default=["5min", "15min", "30min", "60min", "daily"], description="周期列表")
    interval_seconds: int = Field(default=300, description="轮询间隔(秒)")
    task_type: str = Field(default="interval", description="任务类型: interval/daily/once")
    run_time: str | None = Field(default=None, description="执行时间 HH:MM")


class TaskInfo(BaseModel):
    """任务信息。"""

    id: int
    symbol: str
    data_type: str
    periods: list[str]
    interval_seconds: int
    task_type: str = "interval"
    enabled: bool = True
    running: bool = False
    last_run: str | None = None
    last_status: str | None = None
    next_run: str | None = None
    created_at: str
    updated_at: str


class TaskListResponse(BaseModel):
    """任务列表响应。"""

    tasks: list[TaskInfo]
    total: int


# ==================== 用户认证 ====================


class LoginRequest(BaseModel):
    """登录请求。"""

    username: str
    password: str


class LoginResponse(BaseModel):
    """登录响应。"""

    success: bool
    token: str | None = None
    user: dict[str, Any] | None = None
    message: str | None = None


class UserInfo(BaseModel):
    """用户信息。"""

    id: int
    username: str
    role: str
    email: str | None = None


# ==================== AI 分析 ====================


class AIAnalysisRequest(BaseModel):
    """AI分析请求。"""

    symbol: str = Field(..., description="品种合约代码")
    force_refresh: bool = Field(default=False, description="是否强制刷新")


class AIAnalysisResponse(BaseModel):
    """AI分析响应。"""

    success: bool
    data: dict[str, Any] | None = None
    is_cached: bool = False
    error: str | None = None
    warning: str | None = None


# ==================== 复盘计划 ====================


class ReviewPlanRequest(BaseModel):
    """复盘计划生成请求。"""

    review_date: str = Field(..., description="复盘日期 YYYY-MM-DD")


class ReviewPlanResponse(BaseModel):
    """复盘计划响应。"""

    success: bool
    data: dict[str, Any] | None = None
    message: str | None = None