dazhuang
acd73431ae
Backend (FastAPI + SQLAlchemy + Claude API + RAG): - Config management with Pydantic v2 - Database engine with connection pooling and SQL injection prevention - AI engine with Claude API integration (support custom base URL) - RAG engine with ChromaDB and sentence-transformers - Requirement analysis service - Config generation service - Executor engine with SQL validation - REST API endpoints: /analyze, /generate, /execute Frontend (Vue 3 + Element Plus + Pinia): - Complete 3-step workflow: analyze → generate → execute - Step indicator with progress visualization - Analysis result display with field table - SQL preview with monospace font - Execute confirmation dialog with safety warning - Execution result display - State management with Pinia - API service integration Security: - SQL injection prevention with parameterized queries - Dangerous SQL operation blocking - Database password URL encoding - Transaction auto-rollback - Pydantic config validation Features: - Natural language requirement analysis - Automated SQL configuration generation - Safe execution with human review - LAN access support - Custom Claude API endpoint support Documentation: - README with quick start guide - Quick start guide - LAN access configuration - Dependency fixes guide - Claude API configuration - Git operation guide - Implementation report Dependencies fixed: - numpy<2.0.0 for chromadb compatibility - sentence-transformers==2.7.0 for huggingface_hub compatibility Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
78 lines
1.9 KiB
Python
78 lines
1.9 KiB
Python
"""FastAPI application entry point for ERP AI Assistant.
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This module creates and configures the main FastAPI application instance.
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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 app.config import get_settings
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from app.api import analyze, generate, execute
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# Get application settings
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settings = get_settings()
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# Create FastAPI application instance
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app = FastAPI(
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title=settings.APP_NAME,
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version="1.0.0",
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debug=settings.DEBUG,
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description="AI-powered assistant for ERP platform configuration"
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)
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# Configure CORS middleware for frontend communication
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# For development: allow all origins with port 5173
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# For production: configure specific origins in environment
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"] if settings.DEBUG else [
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"http://localhost:5173",
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"http://127.0.0.1:5173",
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],
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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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# Register API routers
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app.include_router(analyze.router, prefix="/api/v1", tags=["Analysis"])
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app.include_router(generate.router, prefix="/api/v1", tags=["Generation"])
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app.include_router(execute.router, prefix="/api/v1", tags=["Execution"])
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@app.get("/", tags=["Root"])
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async def root() -> dict:
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"""Root endpoint returning application info.
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Returns:
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Dictionary with application name, version, and status
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"""
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return {
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"message": settings.APP_NAME,
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"version": "1.0.0",
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"status": "running"
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}
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@app.get("/health", tags=["Health"])
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async def health_check() -> dict:
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"""Health check endpoint for monitoring.
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Returns:
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Dictionary with health status
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"""
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return {
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"status": "healthy",
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"version": "1.0.0"
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}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(
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"app.main:app",
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host="0.0.0.0",
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port=8000,
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reload=settings.DEBUG
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) |