0ce879aa44
- 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
76 lines
2.4 KiB
Python
76 lines
2.4 KiB
Python
"""Pagine HTML servite direttamente da ml.mebboat.it.
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Layout:
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/ redirect a /datasets (o landing console)
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/datasets lista/upload dataset
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/models registro modelli
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/train avvia training
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/test esegue test su modello trainato
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/results storico e confronto risultati
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"""
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from __future__ import annotations
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from pathlib import Path
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from fastapi import APIRouter, Depends, Request
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from fastapi.responses import HTMLResponse, RedirectResponse
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from fastapi.templating import Jinja2Templates
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from core.auth import _verify
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from core.config import settings
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router = APIRouter(tags=["pages"])
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TEMPLATES_DIR = Path(__file__).resolve().parent.parent / "templates"
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templates = Jinja2Templates(directory=str(TEMPLATES_DIR))
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def _user_or_redirect(request: Request):
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"""Per le pagine, se non autenticato redirect al login. Ritorna user dict o RedirectResponse."""
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token = request.cookies.get("auth_token")
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auth = request.headers.get("authorization")
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if not token and auth and auth.startswith("Bearer "):
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token = auth[7:]
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user = _verify(token)
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if not user:
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target = str(request.url)
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return RedirectResponse(url=f"{settings.auth_login_url}?redirect={target}", status_code=302)
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return user
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def _render(request: Request, template: str, **ctx):
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user = _user_or_redirect(request)
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if isinstance(user, RedirectResponse):
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return user
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return templates.TemplateResponse(template, {"request": request, "user": user, **ctx})
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@router.get("/", response_class=HTMLResponse)
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async def home(request: Request):
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return RedirectResponse(url="/datasets")
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@router.get("/datasets", response_class=HTMLResponse)
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async def page_datasets(request: Request):
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return _render(request, "datasets.html", page="datasets")
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@router.get("/models", response_class=HTMLResponse)
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async def page_models(request: Request):
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return _render(request, "models.html", page="models")
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@router.get("/train", response_class=HTMLResponse)
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async def page_train(request: Request):
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return _render(request, "train.html", page="train")
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@router.get("/test", response_class=HTMLResponse)
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async def page_test(request: Request):
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return _render(request, "test.html", page="test")
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@router.get("/results", response_class=HTMLResponse)
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async def page_results(request: Request):
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return _render(request, "results.html", page="results")
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