f845647934
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Full-stack dashboard for controlling, automating, and analyzing Artifacts MMO characters via the game's HTTP API. Backend (FastAPI): - Async Artifacts API client with rate limiting and retry - 6 automation strategies (combat, gathering, crafting, trading, task, leveling) - Automation engine with runner, manager, cooldown tracker, pathfinder - WebSocket relay (game server -> frontend) - Game data cache, character snapshots, price history, analytics - 9 API routers, 7 database tables, 3 Alembic migrations - 108 unit tests Frontend (Next.js 15 + shadcn/ui): - Live character dashboard with HP/XP bars and cooldowns - Character detail with stats, equipment, inventory, skills, manual actions - Automation management with live log streaming - Interactive canvas map with content-type coloring and zoom/pan - Bank management, Grand Exchange with price charts - Events, logs, analytics pages with Recharts - WebSocket auto-reconnect with query cache invalidation - Settings page, error boundaries, dark theme Infrastructure: - Docker Compose (dev + prod) - GitHub Actions CI/CD - Documentation (Architecture, Automation, Deployment, API)
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
from datetime import datetime
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from sqlalchemy import DateTime, Float, Integer, String, func
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from sqlalchemy.orm import Mapped, mapped_column
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from app.database import Base
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class PriceHistory(Base):
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"""Captured Grand Exchange price snapshots over time."""
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__tablename__ = "price_history"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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item_code: Mapped[str] = mapped_column(
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String(100),
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nullable=False,
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index=True,
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comment="Item code from the Artifacts API",
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)
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buy_price: Mapped[float | None] = mapped_column(
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Float,
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nullable=True,
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comment="Best buy price at capture time",
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)
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sell_price: Mapped[float | None] = mapped_column(
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Float,
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nullable=True,
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comment="Best sell price at capture time",
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)
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volume: Mapped[int] = mapped_column(
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Integer,
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nullable=False,
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default=0,
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comment="Trade volume at capture time",
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)
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captured_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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server_default=func.now(),
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nullable=False,
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index=True,
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comment="Timestamp when the price was captured",
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)
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def __repr__(self) -> str:
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return (
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f"<PriceHistory(id={self.id}, item={self.item_code!r}, "
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f"buy={self.buy_price}, sell={self.sell_price})>"
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)
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