Files
OLD-server-architecture/copernicus/main.py
Giuseppe Raffa 0ce879aa44 feat: Add new API endpoints and HTML pages for ML model management
- Implemented HTML pages for datasets, models, training, testing, and results.
- Created API endpoints for managing repositories, results, tests, and training sessions.
- Added functionality for streaming training progress via Server-Sent Events (SSE).
- Introduced a Dockerfile for the ML runner with necessary dependencies.
- Developed an SDK for user code execution within the runner container.
- Enhanced CSS styles for improved UI layout and navigation.
- Established a layout template for consistent HTML structure across pages.
- Added JavaScript for dynamic interactions on the models page.
- Implemented WebSocket handling for real-time communication with kiosk devices and controllers.
- Implemented model registration and management API at /api/models
- Added Gitea proxy API for repository interactions at /api/repos
- Created results API for listing and comparing training results at /api/results
- Developed training management API for enqueueing and retrieving training jobs at /api/trainings
- Introduced SSE endpoint for live training progress updates
- Added HTML pages for models, datasets, and training management
- Created a Dockerfile for the ML runner with necessary dependencies
- Developed SDK for user code execution within the runner container
- Enhanced CSS styles for improved UI/UX
- Implemented WebSocket communication for real-time device and controller interactions in the kiosk system
2026-04-28 09:24:38 +02:00

64 lines
1.5 KiB
Python

"""
Servizio reindirizzato: api.{domain}/marine/* (Traefik strips /marine prefix)
"""
import os
from contextlib import asynccontextmanager
from dotenv import load_dotenv
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
load_dotenv()
from routers import catalog, datasets, jobs
from core.cache import cache_stats, cache_sweep
@asynccontextmanager
async def lifespan(app: FastAPI):
api_url = os.getenv("API_SERVICE_URL", "http://api:3003")
# Pulizia voci scadute della cache su disco all'avvio
removed = cache_sweep()
if removed:
print(f"[Cache] Rimosse {removed} voci scadute dal disco")
yield
app = FastAPI(
title="MEB Marine Service",
description="Copernicus Marine data download and dataset management for the MEB platform",
version="1.0.0",
docs_url="/docs",
redoc_url="/redoc",
lifespan=lifespan,
root_path=""
)
app.add_middleware(
CORSMiddleware,
allow_origin_regex=r"https?://.*\.(localhost|mebboat\.it)(:\d+)?$",
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.include_router(catalog.router)
app.include_router(jobs.router)
app.include_router(datasets.router)
@app.get("/", tags=["health"])
async def root():
return {"service": "MEB Marine Service", "version": "1.0.0", "docs": "/docs"}
@app.get("/health", tags=["health"])
async def health():
return {"status": "healthy", "cache": cache_stats()}
@app.post("/cache/sweep", tags=["health"])
async def sweep():
return {"removed": cache_sweep()}