Jellyfin - 开源媒体服务器,Emby分叉版本,.NET+C#开发,电影电视音乐照片播客,Netflix私有化部署

[客户端（Web / Android / iOS / Kodi）]
               │
               │ HTTPS / DLNA / Cast
               ▼
[Jellyfin Server（.NET 8 / ASP.NET Core）]
               │
     ┌─────────┼─────────┐
     ▼         ▼         ▼
[SQLite]   [FFmpeg]   [插件 Host]

docker run -d \
  --name=jellyfin \
  -e PUID=1000 \
  -e PGID=1000 \
  -e TZ=Asia/Shanghai \
  -p 8096:8096 \
  -p 8920:8920 \
  -p 7359:7359/udp \
  -p 1900:1900/udp \
  -v ./jellyfin-config:/config \
  -v ./jellyfin-cache:/cache \
  -v /data/media/movies:/data/movies \
  -v /data/media/tvshows:/data/tvshows \
  -v /data/media/music:/data/music \
  --restart=unless-stopped \
  lscr.io/linuxserver/jellyfin:latest

version: "3.8"

services:
  jellyfin:
    image: lscr.io/linuxserver/jellyfin:latest
    container_name: jellyfin
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Asia/Shanghai
      - JELLYFIN_PublishedServerUrl=https://jellyfin.example.com
      # NVIDIA 驱动相关（可选）
      - NVIDIA_VISIBLE_DEVICES=all
      - NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
    volumes:
      - ./config:/config
      - ./cache:/cache
      - /data/media/movies:/data/movies:ro
      - /data/media/tvshows:/data/tvshows:ro
      - /data/media/music:/data/music:ro
      - /data/media/photos:/data/photos:ro
    ports:
      - "8096:8096"        # HTTP Web UI
      - "8920:8920"      # HTTPS Web UI
      - "7359:7359/udp"  # 客户端自动发现
      - "1900:1900/udp"   # SSDP/DLNA
    devices:
      # Intel VA-API 显卡直通（如果是 Intel 核显）
      - /dev/dri/renderD128:/dev/dri/renderD128
      - /dev/dri/card0:/dev/dri/card0
    runtime: nvidia          # NVIDIA GPU 加速（可选）
    restart: unless-stopped

# 1. 安装 .NET 8 SDK
wget https://dot.net/v1/dotnet-install.sh
bash dotnet-install.sh --channel 8.0
export PATH="$HOME/.dotnet:$PATH"

# 2. 安装 Node.js 18+ 和 FFmpeg
sudo apt install -y nodejs npm ffmpeg

# 3. 克隆仓库
git clone https://github.com/jellyfin/jellyfin.git
cd jellyfin
git submodule update --init --recursive

# 4. 构建
dotnet publish Jellyfin.Server --configuration Release
./.build/jellyfin --version

docker build -f Dockerfile -t jellyfin:local .
docker run -d -p 8096:8096 jellyfin:local

# 克隆插件模板
dotnet new -i MediaBrowser.Plugin.Templates
dotnet new jellyfinplugin -n MyPlugin
cd MyPlugin
dotnet build -c Release
# 将输出的 DLL 放入 Jellyfin 的 plugins 目录

# 登录获取 token
curl -X POST http://127.0.0.1:8096/Users/authenticatebyname \
  -H "Content-Type: application/json" \
  -d '{"Username":"admin","Pw":"your-password"}'

# 获取所有电影
curl -H "X-Emby-Token: <YOUR-API-TOKEN>" \
  "http://127.0.0.1:8096/Items?Recursive=true&IncludeItemTypes=Movie"

# 刷新媒体库
curl -X POST -H "X-Emby-Token: <YOUR-API-TOKEN>" \
  "http://127.0.0.1:8096/Library/Refresh"

services:
  jellyseerr:
    image: fallenbagel/jellyseerr:latest
    container_name: jellyseerr
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Asia/Shanghai
    ports:
      - "5055:5055"
    volumes:
      - ./jellyseerr:/app/config
    restart: unless-stopped

server {
    listen 443 ssl http2;
    server_name jellyfin.example.com;

    ssl_certificate     /etc/ssl/cert.pem;
    ssl_certificate_key /etc/ssl/key.pem;

    client_max_body_size 0;

    location / {
        proxy_pass http://127.0.0.1:8096;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
    }

    # 转码临时文件需要更大的缓冲区
    location /Videos {
        proxy_pass http://127.0.0.1:8096;
        proxy_buffering off;
    }
}

# 检查 NVIDIA 显卡
nvidia-smi

# 检查 Intel VA-API 设备
ls -la /dev/dri/
vainfo --display drm --device /dev/dri/renderD128

# 备份数据库与配置
cp -r /path/to/jellyfin/config /mnt/backup/jellyfin-$(date +%Y%m%d)

# 备份用户观看进度（watchdata.db）
sqlite3 /config/data/jellyfin.db ".backup /backup/watchdata-$(date +%Y%m%d).db"