from datetime import datetime
from decimal import Decimal
from pydantic import BaseModel
from typing import Optional
from datetime import datetime
from decimal import Decimal


class PredictionResult(BaseModel):
    feature_factor_frequency: str
    strategy_id: int
    oil_code: Optional[str] = 'CRUDE'
    oil_name: Optional[str] = '原油'
    data_date: Optional[datetime] = None
    market_price: Optional[Decimal] = None
    day_price: Optional[Decimal] = None
    week_price: Optional[Decimal] = None
    second_week_price: Optional[Decimal] = None
    next_week_price: Optional[Decimal] = None
    next_month_price: Optional[Decimal] = None
    next_february_price: Optional[Decimal] = None
    next_march_price: Optional[Decimal] = None
    next_april_price: Optional[Decimal] = None
    model_evaluation_id: int
    model_id: int
    tenant_code: Optional[str] = None
    reserved_str1: Optional[str] = None
    reserved_str2: Optional[str] = None
    reserved_str3: Optional[str] = None
    reserved_str4: Optional[str] = None
    reserved_str5: Optional[str] = None
    reserved_num1: Optional[Decimal] = None
    reserved_num2: Optional[Decimal] = None
    reserved_num3: Optional[Decimal] = None
    reserved_num4: Optional[Decimal] = None
    reserved_num5: Optional[Decimal] = None
    version_num: Decimal = Decimal(1)
    delete_flag: str = '0'
    create_user: Optional[str] = None
    create_date: Optional[datetime] = None
    update_user: Optional[str] = None
    update_date: Optional[datetime] = None