Health scoring engine with 4 dimensions: Gateway stability (40%), config
completeness (25%), skill consistency (20%), and Cron success rate (15%).
Grades A(80-100) B(60-79) C(40-59) D(0-39) with detailed deduction items
and fix suggestions per dimension.
API endpoints:
- GET /health/scores — list all profiles with grade filter + sort
- GET /health/scores/{profile} — detail with deductions + suggestions
- POST /health/compare — multi-profile config/skill comparison
- POST /health/calculate — manual recalculation (owner only)
Frontend HealthPage: grade distribution cards, score table with expandable
detail rows, batch compare view with diff highlighting, grade/select/sort
filters, and owner-only recalculation.
Data sources use placeholders (TODO: hermes CLI / file reads) but the full
scoring logic is implemented end-to-end.
Co-Authored-By: Claude <noreply@anthropic.com>
45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
"""FastAPI 应用入口。"""
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from contextlib import asynccontextmanager
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.database import engine, Base
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from app.api import auth, users, audit, dashboard, gateway, health
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from app.middleware.audit import AuditMiddleware
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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yield
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await engine.dispose()
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app = FastAPI(
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title="Hive Manage v3",
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version="0.1.0",
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lifespan=lifespan,
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.add_middleware(AuditMiddleware)
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app.include_router(auth.router)
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app.include_router(users.router)
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app.include_router(audit.router)
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app.include_router(dashboard.router, prefix="/api/v1")
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app.include_router(gateway.router, prefix="/api/v1")
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app.include_router(health.router, prefix="/api/v1")
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@app.get("/api/v1/health")
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async def health_check():
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return {"status": "ok"}
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