Vladless
123 lines
2.1 KiB
Python
123 lines
2.1 KiB
Python
from datetime import datetime
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from pydantic import BaseModel
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class PaymentBase(BaseModel):
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tg_id: int
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amount: float
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payment_system: str
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status: str
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class PaymentResponse(PaymentBase):
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id: int
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created_at: datetime
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class Config:
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from_attributes = True
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class ReferralResponse(BaseModel):
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referred_tg_id: int
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referrer_tg_id: int
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reward_issued: bool = False
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class Config:
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from_attributes = True
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class NotificationResponse(BaseModel):
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tg_id: int
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notification_type: str
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last_notification_time: datetime
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class Config:
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from_attributes = True
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class GiftBase(BaseModel):
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sender_tg_id: int
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recipient_tg_id: int | None = None
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selected_months: int
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expiry_time: datetime
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gift_link: str
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is_used: bool = False
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is_unlimited: bool = False
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max_usages: int | None = None
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tariff_id: int | None = None
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class GiftResponse(GiftBase):
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gift_id: str
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created_at: datetime
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class Config:
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from_attributes = True
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class GiftUsageResponse(BaseModel):
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gift_id: str
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tg_id: int
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used_at: datetime
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class Config:
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from_attributes = True
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class ManualBanResponse(BaseModel):
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tg_id: int
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banned_at: datetime
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reason: str
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banned_by: int
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until: datetime | None = None
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class Config:
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from_attributes = True
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class TemporaryDataResponse(BaseModel):
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tg_id: int
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state: str
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data: dict
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updated_at: datetime
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class Config:
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from_attributes = True
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class BlockedUserResponse(BaseModel):
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tg_id: int
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class Config:
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from_attributes = True
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class MonthlyStats(BaseModel):
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month: str
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registrations: int
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trials: int
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new_purchases_count: int
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new_purchases_amount: float
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repeat_purchases_count: int
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repeat_purchases_amount: float
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class TrackingSourceResponse(BaseModel):
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id: int
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name: str
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code: str
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type: str
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created_by: int
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created_at: datetime
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registrations: int = 0
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trials: int = 0
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payments: int = 0
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total_amount: float = 0.0
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monthly: list[MonthlyStats] = []
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class Config:
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from_attributes = True
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