- Add validation framework (config, model, results, study validators) - Add Claude Code skills (create-study, run-optimization, generate-report, troubleshoot, analyze-model) - Add Atomizer Dashboard (React frontend + FastAPI backend) - Reorganize docs into structured directories (00-09) - Add neural surrogate modules and training infrastructure - Add multi-objective optimization support 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
"""
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Atomizer Dashboard - FastAPI Backend
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Real-time optimization monitoring and control
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"""
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from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse
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from pathlib import Path
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import sys
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# Add parent directory to path to import optimization_engine
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sys.path.append(str(Path(__file__).parent.parent.parent.parent))
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from api.routes import optimization
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from api.websocket import optimization_stream
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# Create FastAPI app
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app = FastAPI(
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title="Atomizer Dashboard API",
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description="Real-time optimization monitoring and control",
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version="1.0.0"
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)
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# Configure CORS for local development
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Allow all origins for local development
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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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# Include routers
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app.include_router(optimization.router, prefix="/api/optimization", tags=["optimization"])
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app.include_router(optimization_stream.router, prefix="/api/ws", tags=["websocket"])
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@app.get("/")
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async def root():
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"""Serve the enhanced dashboard HTML"""
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dashboard_path = Path(__file__).parent.parent.parent / "dashboard-enhanced.html"
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return FileResponse(dashboard_path)
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@app.get("/health")
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async def health_check():
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"""Health check endpoint"""
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return {"status": "healthy"}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"main:app",
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host="0.0.0.0",
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port=8000,
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reload=True,
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log_level="info"
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)
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