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)
54 lines
1.6 KiB
Python
54 lines
1.6 KiB
Python
from datetime import datetime
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from sqlalchemy import DateTime, Integer, JSON, 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 EventLog(Base):
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"""Logged game events for historical tracking and analytics."""
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__tablename__ = "event_log"
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id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
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event_type: 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="Type of event (e.g. 'combat', 'gathering', 'trade', 'level_up')",
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)
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event_data: Mapped[dict] = mapped_column(
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JSON,
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nullable=False,
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default=dict,
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comment="Arbitrary JSON payload with event details",
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)
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character_name: Mapped[str | None] = mapped_column(
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String(100),
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nullable=True,
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index=True,
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comment="Character associated with the event (if applicable)",
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)
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map_x: Mapped[int | None] = mapped_column(
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Integer,
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nullable=True,
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comment="X coordinate where the event occurred",
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)
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map_y: Mapped[int | None] = mapped_column(
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Integer,
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nullable=True,
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comment="Y coordinate where the event occurred",
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)
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created_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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)
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def __repr__(self) -> str:
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return (
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f"<EventLog(id={self.id}, type={self.event_type!r}, "
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f"character={self.character_name!r})>"
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)
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