Add modular Roblox buyer bot and documentation
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from dataclasses import dataclass, field
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from typing import Any
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@dataclass(slots=True)
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class RateConfig:
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name: str
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price: float
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min: int
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max: int
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type: str
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@classmethod
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def from_dict(cls, data: dict[str, Any]) -> "RateConfig":
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return cls(
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name=data.get("name", ""),
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price=float(data.get("price", 0.0)),
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min=int(data.get("min", 0)),
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max=int(data.get("max", 0)),
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type=data.get("type", "lifetime"),
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)
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def to_dict(self) -> dict[str, Any]:
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return {
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"name": self.name,
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"price": self.price,
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"min": self.min,
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"max": self.max,
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"type": self.type,
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}
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@dataclass(slots=True)
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class BotConfig:
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shop_enabled: bool = True
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bot_enabled: bool = True
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min_withdraw: float = 100.0
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treasury: float = 0.0
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referral_percent: int = 5
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rates: dict[str, RateConfig] = field(default_factory=dict)
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avg_min_cookies: int = 100
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avg_min_price: float = 2.0
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avg_max_price: float = 20.0
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@classmethod
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def default(cls) -> "BotConfig":
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return cls(
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shop_enabled=True,
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bot_enabled=True,
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min_withdraw=100.0,
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treasury=0.0,
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referral_percent=5,
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rates={
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"lifetime_low": RateConfig(
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name="Lifetime 200-399 R$",
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price=0.33,
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min=200,
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max=399,
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type="lifetime",
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),
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"lifetime_mid": RateConfig(
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name="Lifetime 400-4999 R$",
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price=3.10,
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min=400,
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max=4999,
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type="lifetime",
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),
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"lifetime_high": RateConfig(
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name="Lifetime 5000+ R$",
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price=8.88,
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min=5000,
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max=10**12,
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type="lifetime",
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),
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"year_mid": RateConfig(
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name="Year 1000-4999 R$",
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price=8.40,
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min=1000,
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max=4999,
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type="year",
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),
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"year_high": RateConfig(
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name="Year 5000+ R$",
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price=11.11,
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min=5000,
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max=10**12,
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type="year",
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),
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},
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avg_min_cookies=100,
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avg_min_price=2.0,
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avg_max_price=20.0,
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)
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@classmethod
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def from_dict(cls, data: dict[str, Any] | None) -> "BotConfig":
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data = data or {}
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rates = data.get("rates") or {}
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return cls(
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shop_enabled=bool(data.get("shop_enabled", True)),
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bot_enabled=bool(data.get("bot_enabled", True)),
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min_withdraw=float(data.get("min_withdraw", 100.0)),
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treasury=float(data.get("treasury", 0.0)),
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referral_percent=int(data.get("referral_percent", 5)),
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rates={
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key: RateConfig.from_dict(value)
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for key, value in rates.items()
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},
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avg_min_cookies=int(data.get("avg_min_cookies", 100)),
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avg_min_price=float(data.get("avg_min_price", 2.0)),
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avg_max_price=float(data.get("avg_max_price", 20.0)),
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)
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def to_dict(self) -> dict[str, Any]:
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return {
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"shop_enabled": self.shop_enabled,
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"bot_enabled": self.bot_enabled,
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"min_withdraw": self.min_withdraw,
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"treasury": self.treasury,
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"referral_percent": self.referral_percent,
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"rates": {key: value.to_dict() for key, value in self.rates.items()},
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"avg_min_cookies": self.avg_min_cookies,
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"avg_min_price": self.avg_min_price,
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"avg_max_price": self.avg_max_price,
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}
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