Remove all V1 architecture components and promote V2 to primary: - Delete all paddle_ocr_* table models (export, ocr, translation, user) - Delete legacy routers (auth, export, ocr, translation) - Delete legacy schemas and services - Promote user_v2.py to user.py as primary user model - Update all imports and dependencies to use V2 models only - Update main.py version to 2.0.0 Database changes: - Fix SQLAlchemy reserved word: rename audit_log.metadata to extra_data - Add migration to drop all paddle_ocr_* tables - Update alembic env to only import V2 models Frontend fixes: - Fix Select component exports in TaskHistoryPage.tsx - Update to use simplified Select API with options prop - Fix AxiosInstance TypeScript import syntax 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
144 lines
3.8 KiB
Python
144 lines
3.8 KiB
Python
"""
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Tool_OCR - FastAPI Application Entry Point (V2)
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Main application setup with CORS, routes, and startup/shutdown events
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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 contextlib import asynccontextmanager
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import logging
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from pathlib import Path
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from app.core.config import settings
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# Ensure log directory exists before configuring logging
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Path(settings.log_file).parent.mkdir(parents=True, exist_ok=True)
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# Configure logging
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logging.basicConfig(
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level=getattr(logging, settings.log_level),
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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handlers=[
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logging.FileHandler(settings.log_file),
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logging.StreamHandler(),
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],
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)
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logger = logging.getLogger(__name__)
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""Application lifespan events"""
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# Startup
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logger.info("Starting Tool_OCR V2 application...")
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# Ensure all directories exist
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settings.ensure_directories()
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logger.info("All directories created/verified")
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logger.info("Application startup complete")
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yield
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# Shutdown
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logger.info("Shutting down Tool_OCR application...")
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# Create FastAPI application
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app = FastAPI(
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title="Tool_OCR V2",
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description="OCR Processing System with External Authentication & Task Isolation",
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version="2.0.0",
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lifespan=lifespan,
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)
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# Configure CORS
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.cors_origins_list,
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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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# Health check endpoint
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@app.get("/health")
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async def health_check():
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"""Health check endpoint with GPU status"""
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from app.services.ocr_service import OCRService
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response = {
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"status": "healthy",
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"service": "Tool_OCR V2",
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"version": "2.0.0",
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}
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# Add GPU status information
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try:
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# Create temporary OCRService instance to get GPU status
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# In production, this should be a singleton service
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ocr_service = OCRService()
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gpu_status = ocr_service.get_gpu_status()
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response["gpu"] = {
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"available": gpu_status.get("gpu_available", False),
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"enabled": gpu_status.get("gpu_enabled", False),
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"device_name": gpu_status.get("device_name", "N/A"),
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"device_count": gpu_status.get("device_count", 0),
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"compute_capability": gpu_status.get("compute_capability", "N/A"),
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}
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# Add memory info if available
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if gpu_status.get("memory_total_mb"):
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response["gpu"]["memory"] = {
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"total_mb": round(gpu_status.get("memory_total_mb", 0), 2),
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"allocated_mb": round(gpu_status.get("memory_allocated_mb", 0), 2),
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"utilization_percent": round(gpu_status.get("memory_utilization", 0), 2),
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}
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# Add reason if GPU is not available
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if not gpu_status.get("gpu_available") and gpu_status.get("reason"):
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response["gpu"]["reason"] = gpu_status.get("reason")
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except Exception as e:
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logger.warning(f"Failed to get GPU status: {e}")
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response["gpu"] = {
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"available": False,
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"error": str(e),
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}
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return response
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# Root endpoint
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@app.get("/")
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async def root():
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"""Root endpoint with API information"""
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return {
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"message": "Tool_OCR API V2 - External Authentication",
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"version": "2.0.0",
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"docs_url": "/docs",
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"health_check": "/health",
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}
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# Include V2 API routers
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from app.routers import auth, tasks, admin
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app.include_router(auth.router)
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app.include_router(tasks.router)
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app.include_router(admin.router)
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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=settings.backend_port,
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reload=True,
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log_level=settings.log_level.lower(),
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)
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