"""Admin request/response schemas."""

from typing import Literal

from pydantic import BaseModel, Field


class UserManagement(BaseModel):
    """Schema for user access management."""
    has_access: bool


class PasswordReset(BaseModel):
    """Schema for resetting a user's password."""
    new_password: str = Field(..., min_length=6)


class CreateUserRequest(BaseModel):
    """Schema for admin-created user accounts."""
    username: str = Field(..., min_length=1)
    password: str = Field(..., min_length=6)
    role: str = Field(default="user", pattern=r"^(user|admin)$")
    has_access: bool = False


class RegistrationToggle(BaseModel):
    """Schema for toggling registration on/off."""
    enabled: bool


class SystemSettingUpdate(BaseModel):
    """Schema for updating a system setting."""
    value: str = Field(..., min_length=1)


class DataCleanupRequest(BaseModel):
    """Schema for data cleanup — delete records older than N days."""
    older_than_days: int = Field(..., gt=0)


class JobToggle(BaseModel):
    """Schema for enabling/disabling a scheduled job."""
    enabled: bool


class RecommendationConfigUpdate(BaseModel):
    high_confidence_threshold: float | None = Field(default=None, ge=0, le=100)
    moderate_confidence_threshold: float | None = Field(default=None, ge=0, le=100)
    confidence_diff_threshold: float | None = Field(default=None, ge=0, le=100)
    signal_alignment_weight: float | None = Field(default=None, ge=0, le=1)
    sr_strength_weight: float | None = Field(default=None, ge=0, le=1)
    momentum_technical_divergence_threshold: float | None = Field(default=None, ge=0, le=100)
    fundamental_technical_divergence_threshold: float | None = Field(default=None, ge=0, le=100)


class TickerUniverseUpdate(BaseModel):
    universe: Literal["sp500", "nasdaq100", "nasdaq_all"]


class ActivationConfigUpdate(BaseModel):
    """Activation gate: what counts as an actionable signal."""
    min_momentum_percentile: float | None = Field(default=None, ge=0, le=100)
    min_rr: float | None = Field(default=None, ge=0)
    min_confidence: float | None = Field(default=None, ge=0, le=100)
    require_high_conviction: bool | None = None
    exclude_conflicts: bool | None = None
    exclude_neutral: bool | None = None


class ScheduleConfigUpdate(BaseModel):
    """Cron schedule for the pipelines + fundamentals. Crons are 5-field
    (min hour dom month dow); timezone is an IANA name (e.g. Europe/Berlin)."""
    schedule_timezone: str | None = Field(default=None, max_length=64)
    schedule_daily_pipeline_cron: str | None = Field(default=None, max_length=120)
    schedule_intraday_pipeline_cron: str | None = Field(default=None, max_length=120)
    schedule_fundamentals_cron: str | None = Field(default=None, max_length=120)


class SentimentConfigUpdate(BaseModel):
    """Runtime sentiment LLM config. api_key is write-only; omit/empty to keep
    the stored key."""
    provider: Literal["openai", "gemini", "deepseek", "xai", "openai_compatible"] | None = None
    model: str | None = Field(default=None, max_length=100)
    api_key: str | None = Field(default=None, max_length=400)
    base_url: str | None = Field(default=None, max_length=300)


class SentimentTestRequest(BaseModel):
    ticker: str = Field(default="AAPL", max_length=10)


class AlertConfigUpdate(BaseModel):
    """Telegram alert config. bot_token is write-only; omit/empty to keep the
    stored token."""
    enabled: bool | None = None
    bot_token: str | None = Field(default=None, max_length=200)
    telegram_chat_id: str | None = Field(default=None, max_length=64)
    qualified_enabled: bool | None = None
    sr_proximity_enabled: bool | None = None
    score_drop_enabled: bool | None = None
    digest_enabled: bool | None = None
    regime_quadrant_enabled: bool | None = None
    trade_closed_enabled: bool | None = None