5125b52583
- Introduced a new `spin_sessions` table to track user spin activities. - Updated the API to include a new endpoint for spinning games, allowing users to place bets and specify spin counts. - Enhanced game information structure and added validation for bets and spin counts. - Implemented the `Forest Fortune` slot game mechanics, including payline evaluation and scatter functionality. - Updated dependencies in `pyproject.toml` for development and added `httpx` for HTTP requests. - Added unit tests for the new slot mechanics and API endpoints to ensure functionality and reliability.
102 lines
2.1 KiB
Python
102 lines
2.1 KiB
Python
from datetime import datetime
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from decimal import Decimal
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from pydantic import BaseModel, ConfigDict, Field
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class DevLoginRequest(BaseModel):
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telegram_id: int = Field(default=100001, ge=1)
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username: str | None = "dev_user"
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first_name: str | None = "Traveler"
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class TelegramAuthRequest(BaseModel):
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init_data: str
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class TokenResponse(BaseModel):
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access_token: str
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token_type: str = "bearer"
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class UserResponse(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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telegram_id: int | None
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username: str | None
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first_name: str | None
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balance: Decimal
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agreement_accepted: bool
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agreement_accepted_at: datetime | None
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created_at: datetime
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class DepositRequest(BaseModel):
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amount: Decimal = Field(..., description="Allowed stub amounts: 100, 500, 1000")
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class DepositResponse(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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amount: Decimal
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created_at: datetime
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class WalletResponse(BaseModel):
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balance: Decimal
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deposits: list[DepositResponse]
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class GameInfo(BaseModel):
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slug: str
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title: str
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description: str
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status: str = "coming_soon"
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min_bet: Decimal = Decimal("1.00")
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max_bet: Decimal = Decimal("1000.00")
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min_spin_count: int = 1
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max_spin_count: int = 1000
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# Backwards-compatible alias
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GameStub = GameInfo
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class SpinRequest(BaseModel):
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bet: Decimal = Field(..., gt=0)
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spin_count: int = Field(..., ge=1, le=1000)
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class PaylineWinResponse(BaseModel):
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line_index: int
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symbol: str
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count: int
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amount: Decimal
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path: list[int]
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class SpinOutcomeResponse(BaseModel):
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index: int
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grid: list[list[str]]
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line_wins: list[PaylineWinResponse]
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scatter_count: int
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scatter_win: Decimal
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total_win: Decimal
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level: int
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multiplier: int
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meta_triggered: bool
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class SessionSpinResponse(BaseModel):
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slug: str
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bet: Decimal
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spin_count: int
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total_bet: Decimal
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total_win: Decimal
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max_level: int
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trigger_count: int
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balance: Decimal
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spins: list[SpinOutcomeResponse]
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