docker.videokonverter/app/server.py

"""Haupt-Server: HTTP + WebSocket + Templates in einer aiohttp-App"""
import asyncio
import logging
from pathlib import Path
from aiohttp import web
import aiohttp_jinja2
import jinja2
from app.config import Config
from app.services.queue import QueueService
from app.services.scanner import ScannerService
from app.services.encoder import EncoderService
from app.routes.ws import WebSocketManager
from app.services.library import LibraryService
from app.services.tvdb import TVDBService
from app.services.cleaner import CleanerService
from app.services.importer import ImporterService
from app.routes.api import setup_api_routes
from app.routes.library_api import setup_library_routes
from app.routes.pages import setup_page_routes


class VideoKonverterServer:
    """Haupt-Server - ein Port fuer HTTP, WebSocket und Admin-UI"""

    def __init__(self):
        self.config = Config()
        self.config.setup_logging()

        # Services
        self.ws_manager = WebSocketManager()
        self.scanner = ScannerService(self.config)
        self.queue_service = QueueService(self.config, self.ws_manager)
        self.ws_manager.set_queue_service(self.queue_service)

        # Bibliothek-Services
        self.library_service = LibraryService(self.config, self.ws_manager)
        self.tvdb_service = TVDBService(self.config)
        self.cleaner_service = CleanerService(self.config, self.library_service)
        self.importer_service = ImporterService(
            self.config, self.library_service, self.tvdb_service
        )

        # aiohttp App (50 GiB Upload-Limit fuer grosse Videodateien)
        self.app = web.Application(client_max_size=50 * 1024 * 1024 * 1024)
        self._setup_app()

    def _setup_app(self) -> None:
        """Konfiguriert die aiohttp-Application"""
        # Jinja2 Templates (request_processor macht request in Templates verfuegbar)
        template_dir = Path(__file__).parent / "templates"
        aiohttp_jinja2.setup(
            self.app,
            loader=jinja2.FileSystemLoader(str(template_dir)),
            context_processors=[aiohttp_jinja2.request_processor],
        )

        # WebSocket Route
        ws_path = self.config.server_config.get("websocket_path", "/ws")
        self.app.router.add_get(ws_path, self.ws_manager.handle_websocket)

        # API Routes
        setup_api_routes(
            self.app, self.config, self.queue_service, self.scanner,
            self.ws_manager
        )

        # Bibliothek API Routes
        setup_library_routes(
            self.app, self.config, self.library_service,
            self.tvdb_service, self.queue_service,
            self.cleaner_service, self.importer_service,
        )

        # Seiten Routes
        setup_page_routes(self.app, self.config, self.queue_service)

        # Statische Dateien
        static_dir = Path(__file__).parent / "static"
        if static_dir.exists():
            self.app.router.add_static(
                "/static/", path=str(static_dir), name="static"
            )

        # Startup/Shutdown Hooks
        self.app.on_startup.append(self._on_startup)
        self.app.on_shutdown.append(self._on_shutdown)

    async def _on_startup(self, app: web.Application) -> None:
        """Server-Start: GPU pruefen, Queue starten"""
        mode = self.config.encoding_mode

        # Auto-Detection
        if mode == "auto":
            gpu_ok = EncoderService.detect_gpu_available()
            if gpu_ok:
                gpu_ok = await EncoderService.test_gpu_encoding(
                    self.config.gpu_device
                )
            if gpu_ok:
                self.config.settings["encoding"]["mode"] = "gpu"
                self.config.settings["encoding"]["default_preset"] = "gpu_av1"
                logging.info(f"GPU erkannt ({self.config.gpu_device}), "
                             f"verwende GPU-Encoding")
            else:
                self.config.settings["encoding"]["mode"] = "cpu"
                self.config.settings["encoding"]["default_preset"] = "cpu_av1"
                logging.info("Keine GPU erkannt, verwende CPU-Encoding")
        else:
            logging.info(f"Encoding-Modus: {mode}")

        # Queue starten
        await self.queue_service.start()

        # Bibliothek starten
        await self.library_service.start()

        # DB-Pool mit anderen Services teilen
        if self.library_service._db_pool:
            self.tvdb_service.set_db_pool(self.library_service._db_pool)
            self.importer_service.set_db_pool(self.library_service._db_pool)

        # Zusaetzliche DB-Tabellen erstellen
        await self.tvdb_service.init_db()
        await self.importer_service.init_db()

        host = self.config.server_config.get("host", "0.0.0.0")
        port = self.config.server_config.get("port", 8080)
        logging.info(f"Server bereit auf http://{host}:{port}")

    async def _on_shutdown(self, app: web.Application) -> None:
        """Server-Stop: Queue und Library stoppen"""
        await self.queue_service.stop()
        await self.library_service.stop()
        logging.info("Server heruntergefahren")

    async def run(self) -> None:
        """Startet den Server"""
        host = self.config.server_config.get("host", "0.0.0.0")
        port = self.config.server_config.get("port", 8080)

        runner = web.AppRunner(self.app)
        await runner.setup()
        site = web.TCPSite(runner, host, port)
        await site.start()

        logging.info(
            f"VideoKonverter Server laeuft auf http://{host}:{port}\n"
            f"  Dashboard:  http://{host}:{port}/\n"
            f"  Bibliothek: http://{host}:{port}/library\n"
            f"  Admin:      http://{host}:{port}/admin\n"
            f"  Statistik:  http://{host}:{port}/statistics\n"
            f"  WebSocket:  ws://{host}:{port}/ws\n"
            f"  API:        http://{host}:{port}/api/convert (POST)"
        )

        # Endlos laufen bis Interrupt
        await asyncio.Event().wait()