68 lines
1.7 KiB
Nix
68 lines
1.7 KiB
Nix
{ config, containerCfg, pkgs, lib, builder, name, ... }:
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let
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serverCfg = config.syscfg.server;
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image = pkgs.dockerTools.streamLayeredImage { # pkgs.dockerTools.buildImage{#
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name = pkgs.jellyfin.name;
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tag = pkgs.jellyfin.version;
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contents = [
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pkgs.cacert
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];
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config = {
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Entrypoint = [ "${pkgs.jellyfin}/bin/jellyfin" ];
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ExposedPorts = { "8096/tcp" = { }; };
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};
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};
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in {
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paths = [
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{
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path = "${serverCfg.dataPath}/media/";
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mode = "0755";
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}
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{
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path = "${serverCfg.configPath}/jellyfin/";
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mode = "0755";
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}
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];
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containers = {
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server = builder.mkContainer {
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subdomain = containerCfg.subdomain;
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imageStream = image;
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# imageFile = image;
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port = 8096;
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# secret = name;
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extraEnv = {
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DOTNET_SYSTEM_GLOBALIZATION_INVARIANT = "1";
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# JELLYFIN_WEB_DIR = "${pkgs.jellyfin-web}/share/jellyfin-web";
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JELLYFIN_HttpListenerHost__BindAddress= "0.0.0.0"; #we can use settings.xml override
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};
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extraOptions = [
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"--tmpfs=/tmp:rw,noexec,nosuid,size=512m"
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];
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overrides = {
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cmd = [
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"--datadir" "/config/data"
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"--cachedir" "/config/cache"
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"--configdir" "/config/config"
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"--logdir" "/config/log"
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];
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volumes = [
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"${serverCfg.dataPath}/media:/media:ro"
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"${serverCfg.configPath}/jellyfin:/config"
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];
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# If you have an Intel/AMD GPU for transcoding, add the device:
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devices = lib.optionals (builtins.pathExists "/dev/dri") [ "/dev/dri:/dev/dri" ];
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};
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};
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};
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#LDAP_DC_DOMAIN = "dc=ldap,dc=helcel,dc=net"
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#HOST=...
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#LDAP_BIND_USER=ldap-sa
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#LDAP_BIND_PASSWORD=...
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#LDAP_GROUP=flix
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#LDAP_ADMIN=admin
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} |