from pydantic import BaseModel, Field
from typing import Optional, Any, Dict, List, Generic, TypeVar
from datetime import datetime
from app.schemas.common import BaseSchema, PaginatedResponse

T = TypeVar('T')

class HealthResponse(BaseSchema):
    """Health check ответ"""
    status: str = "healthy"
    timestamp: datetime = Field(default_factory=datetime.utcnow)
    version: str = "1.0.0"
    database: str

class ValidationErrorDetail(BaseSchema):
    """Детали ошибки валидации"""
    field: str
    message: str
    value: Optional[Any] = None

class ValidationErrorResponse(BaseSchema):
    """Ответ с ошибками валидации"""
    error: str = "Validation Error"
    details: List[ValidationErrorDetail] = Field(default_factory=list)
    status_code: int = 422

class ExportResponse(BaseSchema):
    """Ответ на экспорт данных"""
    download_url: str
    file_name: str
    file_size: int
    expires_at: datetime
    format: str  # csv, xlsx, json

class AnalyticsFieldStats(BaseSchema):
    """Статистика по полю формы"""
    field_name: str
    field_label: str
    field_type: str
    total_responses: int
    filled_count: int
    empty_count: int
    fill_rate: float  # процент заполнения
    unique_values: int
    distribution: Dict[str, int]  # значение -> количество

class AnalyticsDailyStats(BaseSchema):
    """Ежедневная статистика"""
    date: str
    count: int
    avg_completion_time: Optional[float] = None

class FormAnalyticsResponse(BaseSchema):
    """Аналитика по форме"""
    form_id: int
    form_name: str
    total_submissions: int
    unique_submitters: int
    avg_completion_time: Optional[float]
    completion_rate: float  # процент завершенных
    fields_stats: List[AnalyticsFieldStats]
    daily_stats: List[AnalyticsDailyStats]
    peak_hours: Dict[int, int]  # час -> количество
    trend: str  # increasing, decreasing, stable
    last_submission_at: Optional[datetime]
    first_submission_at: Optional[datetime]