这个事情从23年初开始说起，没想到最后会这么晚才开始弄。市面上群晖的nastools搭建方案都是极好的，弄我这改一改就可以直接用在k8s上了。由于nas-tool现在要求建BT站了，不打算一开始就弄这么麻烦，哥们一个季度三个月可能就看一部番。所以计划是先构建基础的媒体站，在这个基础上再搭PT（当然这个计划就不知道会咕多久了）。这样这个blog作为教程也可以循序渐进了。
旧版本的nas-tools我也进行了相对的尝试，折腾了很久但是作用不是很大。qbittorrent自己就可以实现rss解析，大部分的番剧站点也都支持rss，例如miobt，acgrip，蜜柑计划，动漫花园等等。（但是其他的例如国内的和美剧我似乎没有找到很靠谱的rss站点，可能只有后续在PT计划中弄了）。
qBittorrent 安装和配置
k8s
需要两个持久化，config和存储点，路径/media和/config
其中media需要RWM
开放6681的tcp和udp，开放8080
镜像 linuxserver/qbittorrent
做完这些之后直接进行端口暴露是有问题的，因为这个容器目前只允许8080的环回访问
直接编辑配置文件，重启后会被镜像恢复，我的做法是直接把qBittorrent.conf文件塞入只读configmap（但是这样会导致webui中进行的设置不可写入）参考上一篇文章关于configmap 独立条目作为文件被挂载且不隐藏文件夹中的其他文件 (maoyulong.club)
在[Preferences]上做下列配置
WebUI\HostHeaderValidation=false
WebUI\CSRFProtection=false
创建代理服务
大部分的BT站点，获取RSS是需要代理服务的，得益于k8s的网络结构，我们可以非常方便的通过service在集群内进行互联。
同namespace上构建好代理之后，我们暴露对应的http和socket端口。
用virtualIP或者coredns进行连接。
同时，在qBittorrent.conf文件进行配置
[Network]
PortForwardingEnabled=true
Proxy\AuthEnabled=false
Proxy\HostnameLookupEnabled=true
Proxy\IP=x.x.x.x
Proxy\Password=
Proxy\Port=@Variant(\0\0\0\x85\x1e\xd2)
Proxy\Profiles\BitTorrent=true
Proxy\Profiles\Misc=false
Proxy\Profiles\RSS=true
Proxy\Type=HTTP
Proxy\Username=
x.x.x.x 即为service IP，或者在ui界面进行配置
配置RSS
选项 -> rss 中打开 启用获取RSS订阅和启用RSS Torrent自动下载选项，添加RSS下载规则，我们可以设置一个最简单的规则，并把需要更新的RSS在"对以下订阅源应用规则"中勾选，如果网络连接顺利，则会立即下载未读的Torrent。
tips
在站点中，我们可能会早到多个字母组的结果，我们以acg.rip为例，搜索“猪肝记得煮熟再吃”。后，选择一个心仪的字幕组，可能他的标题如下
[LoliHouse] 猪肝记得煮熟再吃 / Buta no Liver wa Kanetsu Shiro - 06 [WebRip 1080p HEVC-10bit AAC][简繁内封字幕]直接复制发布的标题到集数之前进行搜索，例如
[LoliHouse] 猪肝记得煮熟再吃 / Buta no Liver wa Kanetsu Shiro有可能会有多种字幕发布，我们也可以跳过集数，这样搜索
[LoliHouse] 猪肝记得煮熟再吃 / Buta no Liver wa Kanetsu Shiro [WebRip 1080p HEVC-10bit AAC][简繁内封字幕]这样我们就得到一个干净的列表，获取RSS链接即可：
对于下载的番剧，Jellyfin需要去识别到每一个具体的番剧和集数，所以对于文件夹的命名有一些要求，具体的新番下载的配置，见下文。
Jellyfin 安装
安装amd驱动
我的b节点拥有一个amd的核显，这可以让播放器进行硬解，首先打上32位架构
sudo dpkg --add-architecture i386
sudo apt update
在amd官网下载安装包
Linux® Drivers for AMD Radeon™ and Radeon PRO™ Graphics | AMD
安装驱动包
sudo apt install ./amdgpu-install_xxx_all.deb
安装驱动
amdgpu-install -y
使用设备插件，Kubernetes 实现了设备插件（Device Plugin），让 Pod 可以访问类似 GPU 这类特殊的硬件功能特性。详见：调度 GPU | Kubernetes 关于三家的GPU设置方案，这里都有描述。
我们可以直接使用官方的yaml进行构建：
kubectl create -f https://raw.githubusercontent.com/RadeonOpenCompute/k8s-device-plugin/master/k8s-ds-amdgpu-dp.yaml
安装jellyfin
持久化，和qb挂载同一个media持久化至路径/media，挂载一个配置文件的持久化至/config，缓存持久化至/cache。
关于硬件加速，首先是在创建yaml的时候设置资源预留：
resources:
limits:
amd.com/gpu: '1'
deployment构建完成后，完成相关设置后进入控制台->播放->硬件加速：AMD AMF 即可
元数据
即metadata，当你通过qb下载了新番或者电视剧之后，可能是没有一个完整的剧集信息的，这时候就需要从一些信息源，一般是TMDB和Bangumi
Bangumi
bangumi插件更适合动漫的元数据刮削，而且网络连接上也可以直连，在 插件->存储库 添加如下网址：
https://jellyfin-plugin-bangumi.pages.dev/repository.json
然后在 目录->元数据 中添加Bangumi插件
豆瓣
同样的方法，添加如下连接：
https://raw.githubusercontent.com/caryyu/jellyfin-plugin-repo/master/manifest-us.json
这之后就可以获取数据了
创建媒体库
内容类型选择节目，元数据插件全部勾选，将Bangumi 排在首位，勾选 优先使用内置的剧集信息而不是文件名、媒体资料储存方式:Nfo、将媒体图像保存到媒体所在文件夹
选择好对应的文件夹之后，Jellyfin就会开始扫描了，建议按照如下的格式进行：
root@jellyfin-d755f9b68-clsbb:/media/video/anime# tree Sousou\ no\ Frieren/
Sousou no Frieren/
├── folder.jpg
├── S01
│ ├── folder.jpg
│ ├── [KitaujiSub] Sousou no Frieren [01][WebRip][HEVC_AAC][CHS_JP].mp4
│ ├── [KitaujiSub] Sousou no Frieren [01][WebRip][HEVC_AAC][CHS_JP].nfo
│ ├── [KitaujiSub] Sousou no Frieren [02][WebRip][HEVC_AAC][CHS_JP].mp4
│ ├── [KitaujiSub] Sousou no Frieren [02][WebRip][HEVC_AAC][CHS_JP].nfo
│ ├── [KitaujiSub] Sousou no Frieren [03][WebRip][HEVC_AAC][CHS_JP].mp4
│ ├── [KitaujiSub] Sousou no Frieren [03][WebRip][HEVC_AAC][CHS_JP].nfo
这里就可以看到，Jellyfin已经把nfo文件放置在里面了。
文件最外面是番剧的名字，然后是季度，最后是里面的文件。
对于没有nas-tools的情况下，我的解决办法是每个番创建一个下载规则，然后让其保存到其他目录来解决命名的问题。
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