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here is my dockerfile for building jellyfin latest RC, i want to download always the latests without having to specify the version.
here is the jellfyin ubuntu deb repo :
https://repo.jellyfin.org/?path=/server/ubuntu/latest-preview/amd64
To automatically fetch the latest release candidate (latest-preview) for Ubuntu 24.04 (ubu2404/noble) along with the newest compatible jellyfin-ffmpeg build during the Docker build process, you can parse the index page and GitHub API dynamically.
Here is the updated Dockerfile using curl, grep, and sed to scrape the URLs on the fly:
Dockerfile syntax=docker/dockerfile:1
FROM ghcr.io/linuxserver/baseimage-ubuntu:noble
set version label
ARG BUILD_DATE ARG VERSION LABEL build_version="Linuxserver.io version:- ${VERSION} Build-date:- ${BUILD_DATE}" LABEL maintainer="thelamer"
environment settings
ARG DEBIAN_FRONTEND="noninteractive" ENV NVIDIA_DRIVER_CAPABILITIES="compute,video,utility" ENV MALLOC_TRIM_THRESHOLD_=131072 ENV ATTACHED_DEVICES_PERMS="/dev/dri /dev/dvb /dev/vchiq /dev/vc-mem /dev/video1? -type c"
RUN
echo "**** install dependencies *" &&
apt-get update &&
apt-get install -y --no-install-recommends
at
libjemalloc2
mesa-va-drivers
xmlstarlet
curl &&
echo " dynamically resolve latest deb URLs *****" &&
BASE_REPO_URL="https://repo.jellyfin.org/files/server/ubuntu/latest-preview/amd64" && \
Fetch latest server deb filename for ubu2404
SERVER_DEB=$(curl -sL "${BASE_REPO_URL}/" | grep -oP 'jellyfin-server_[^"]+ubu2404_amd64.deb' | head -n 1) && \
Fetch latest web UI deb filename
WEB_DEB=$(curl -sL "${BASE_REPO_URL}/" | grep -oP 'jellyfin-web_[^"]+all.deb' | head -n 1) && \
Fetch latest jellyfin-ffmpeg release download URL for noble amd64 via GitHub API
FFMPEG_URL=$(curl -sL "https://api.github.com/repos/jellyfin/jellyfin-ffmpeg/releases/latest" | grep -oP 'https://[^"]+jellyfin-ffmpeg[^"]+noble_amd64.deb' | head -n 1) &&
echo "**** download custom jellyfin debs *" &&
curl -o /tmp/jellyfin-server.deb -L "${BASE_REPO_URL}/${SERVER_DEB}" &&
curl -o /tmp/jellyfin-web.deb -L "${BASE_REPO_URL}/${WEB_DEB}" &&
curl -o /tmp/jellyfin-ffmpeg.deb -L "${FFMPEG_URL}" &&
echo " install custom jellyfin debs *****" && \
Install them all at once to resolve dependencies cleanly
apt-get install -y
/tmp/jellyfin-ffmpeg.deb
/tmp/jellyfin-server.deb
/tmp/jellyfin-web.deb &&
echo "**** cleanup *" &&
rm -rf
/tmp/
/var/lib/apt/lists/
/var/tmp/
add local files
COPY root/ / Key Changes Made Dynamic HTML Scraping for Jellyfin Server/Web: It queries https://repo.jellyfin.org/files/server/ubuntu/latest-preview/amd64/ and extracts the newest .deb files for ubu2404 (Server) and all (Web UI).
Dynamic GitHub API Query for FFmpeg: It fetches the download link for the latest jellyfin-ffmpeg*_noble_amd64.deb package straight from the jellyfin/jellyfin-ffmpeg GitHub releases API endpoint.
Cache Busting Note: Docker caches RUN commands. If you re-build in the future, pass --no-cache to docker build to force Docker to re-run the curl lookup commands for newer packages.
make me a readme.md file with how to build that docker image and add a docker compose
. ├── Dockerfile ├── docker-compose.yml └── README.md
2. docker-compose.yml
services:
jellyfin-rc:
build:
context: .
dockerfile: Dockerfile
args:
BUILD_DATE: "${BUILD_DATE:-}"
VERSION: "latest-rc"
container_name: jellyfin-rc
network_mode: host
environment:
- PUID=1000
- PGID=1000
- TZ=Etc/UTC
- NVIDIA_VISIBLE_DEVICES=all # Optional: for NVIDIA GPU
- NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
volumes:
- ./config:/config
- /path/to/media/tvshows:/data/tvshows
- /path/to/media/movies:/data/movies
# Optional: Intel / AMD VA-API Hardware Transcoding
# devices:
# - /dev/dri:/dev/dri
restart: unless-stopped
3. Build & Run
To build the image and start the container:
Bash
docker compose up -d --build
🏗️ Building manually with Docker CLI
If you prefer building and running with standard Docker CLI commands:
Build Image
To ensure Docker fetches the latest RC packages rather than using build-cache, use the --no-cache flag:
Bash
docker build --no-cache -t jellyfin-rc:latest .
Run Container
Bash
docker run -d \\
--name=jellyfin-rc \\
--net=host \\
-e PUID=1000 \\
-e PGID=1000 \\
-e TZ=Etc/UTC \\
-v ./config:/config \\
-v /path/to/media:/data \\
--restart unless-stopped \\
jellyfin-rc:latest
🔄 Updating to the Newest Release Candidate
Because the Dockerfile dynamically fetches the latest .deb packages during the build step, you can pull and build new RC updates anytime by running:
Bash
docker compose build --no-cache
docker compose up -d
⚙️ Environment Variables & Configuration
Variable Default Description
PUID 1000 User ID for file permissions
PGID 1000 Group ID for file permissions
TZ Etc/UTC Container Timezone
NVIDIA_VISIBLE_DEVICES all Exposes GPUs for NVIDIA transcode
NVIDIA_DRIVER_CAPABILITIES compute,video,utility Enables NVENC/NVDEC capabilities
🍿 Hardware Acceleration (VA-API / NVENC)
Intel / AMD (VA-API / QuickSync):
Uncomment the devices: mapping in docker-compose.yml:
YAML
devices:
- /dev/dri:/dev/dri
NVIDIA GPU:
Ensure the NVIDIA Container Toolkit is installed on your host system and keep the NVIDIA_* environment variables enabled.
"""
with open("README.md", "w") as f:
f.write(readme_content)
print("FILE_CREATED: README.md")
```text?code_stdout&code_event_index=1
FILE_CREATED: README.md
Your README.md file has been generated.
Icône MD
README
MD
Ouvert
File Previews
docker-compose.yml
YAML
services:
jellyfin-rc:
build:
context: .
dockerfile: Dockerfile
args:
BUILD_DATE: "${BUILD_DATE:-}"
VERSION: "latest-rc"
container_name: jellyfin-rc
network_mode: host
environment:
- PUID=1000
- PGID=1000
- TZ=Etc/UTC
- NVIDIA_VISIBLE_DEVICES=all # Optional: for NVIDIA GPU
- NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
volumes:
- ./config:/config
- /path/to/media/tvshows:/data/tvshows
- /path/to/media/movies:/data/movies
# Optional: Intel / AMD VA-API Hardware Transcoding
# devices:
# - /dev/dri:/dev/dri
restart: unless-stopped
README.md Summary
The generated README.md includes:
Overview: Explanation of how dynamic package resolution works during the build.
docker-compose.yml Configuration: Copy-paste ready setup with optional GPU transcode mounts.
Build & Run Instructions: Commands for building with Docker Compose and standard Docker CLI (--no-cache recommendations so Docker checks for fresh RC versions).
Updating Workflow: Easy 2-step command to rebuild and restart when a new RC drops.
Hardware Acceleration Guidance: Setup steps for Intel/AMD (VA-API) and NVIDIA GPUs.
Gemini est une IA et peut se tromper.
# Jellyfin Latest RC (Preview) Docker Image
This repository contains a `Dockerfile` and `docker-compose.yml` to automatically build and run the latest Release Candidate (Preview) version of **Jellyfin Server**, **Jellyfin Web**, and **Jellyfin FFmpeg** for Ubuntu Noble (24.04).
Instead of pinning specific `.deb` package versions, the build process dynamically queries the official Jellyfin APT repository and GitHub Releases API to retrieve and install the newest available RC packages on every build.
---
## 🛠️ Features
- **Always Up-to-Date RC**: Fetches the latest candidate binaries from `repo.jellyfin.org` and `jellyfin-ffmpeg` GitHub releases automatically.
- **Hardware Acceleration Ready**: Configured for NVIDIA and VA-API GPU Passthrough.
- **LinuxServer.io Base**: Uses `ghcr.io/linuxserver/baseimage-ubuntu:noble` for reliable init scripts, user mapping (`PUID`/`PGID`), and clean process handling.
---
## 🚀 Quick Start with Docker Compose
### 1. File Structure
Ensure your directory contains the following files:
. ├── Dockerfile ├── docker-compose.yml └── README.md
### 2. `docker-compose.yml`
```yaml
services:
jellyfin-rc:
build:
context: .
dockerfile: Dockerfile
args:
BUILD_DATE: "${BUILD_DATE:-}"
VERSION: "latest-rc"
container_name: jellyfin-rc
network_mode: host
environment:
- PUID=1000
- PGID=1000
- TZ=Etc/UTC
- NVIDIA_VISIBLE_DEVICES=all # Optional: for NVIDIA GPU
- NVIDIA_DRIVER_CAPABILITIES=compute,video,utility
volumes:
- ./config:/config
- /path/to/media/tvshows:/data/tvshows
- /path/to/media/movies:/data/movies
# Optional: Intel / AMD VA-API Hardware Transcoding
# devices:
# - /dev/dri:/dev/dri
restart: unless-stopped
3. Build & Run
To build the image and start the container:
docker compose up -d --build
🏗️ Building manually with Docker CLI
If you prefer building and running with standard Docker CLI commands:
Build Image
To ensure Docker fetches the latest RC packages rather than using build-cache, use the --no-cache flag:
docker build --no-cache -t jellyfin-rc:latest .
Run Container
docker run -d \
--name=jellyfin-rc \
--net=host \
-e PUID=1000 \
-e PGID=1000 \
-e TZ=Etc/UTC \
-v ./config:/config \
-v /path/to/media:/data \
--restart unless-stopped \
jellyfin-rc:latest
🔄 Updating to the Newest Release Candidate
Because the Dockerfile dynamically fetches the latest .deb packages during the build step, you can pull and build new RC updates anytime by running:
docker compose build --no-cache
docker compose up -d
⚙️ Environment Variables & Configuration
| Variable | Default | Description |
|---|---|---|
PUID |
1000 |
User ID for file permissions |
PGID |
1000 |
Group ID for file permissions |
TZ |
Etc/UTC |
Container Timezone |
NVIDIA_VISIBLE_DEVICES |
all |
Exposes GPUs for NVIDIA transcode |
NVIDIA_DRIVER_CAPABILITIES |
compute,video,utility |
Enables NVENC/NVDEC capabilities |
🍿 Hardware Acceleration (VA-API / NVENC)
- Intel / AMD (VA-API / QuickSync):
Uncomment the
devices:mapping indocker-compose.yml:devices: - /dev/dri:/dev/dri - NVIDIA GPU:
Ensure the NVIDIA Container Toolkit is installed on your host system and keep the
NVIDIA_*environment variables enabled. README.md Affichage de README.md.