Attendedsysupgrade Server (GSoC 2017)
This project simplifies the sysupgrade process for upgrading the firmware of
devices running OpenWrt or distributions based on it. These tools offer an easy
way to reflash the router with a new firmware version
(including all packages) without the need to use opkg
.
ASU is based on an API to request custom firmware images with any selection of packages pre-installed. This avoids the need to set up a build environment, and makes it possible to create a custom firmware image even using a mobile device.
Clients of the Sysupgrade Server
OpenWrt Firmware Selector
Simple web interface using vanilla JavaScript currently developed by @mwarning. It offers a device search based on model names and show links either to official images or requests images via the asu API. Please join in the development at GitLab repository
LuCI app
The package
luci-app-attendedsysupgrade
offers a simple tool under System > Attended Sysupgrade
. It requests a new
firmware image that includes the current set of packages, waits until it's built
and flashes it. If "Keep Configuration" is checked in the GUI, the device
upgrades to the new firmware without any need to re-enter any configuration or
re-install any packages.
CLI
The auc
package
performs the same process as the luci-app-attendedsysupgrade
from SSH/the command line.
Server
The server listens for image requests and, if valid, automatically generates them. It coordinates several OpenWrt ImageBuilders and caches the resulting images in a Redis database. If an image is cached, the server can provide it immediately without rebuilding.
Active server
Run your own server
For security reasons each build happens inside a container so that one build can't affect another build. For this to work a Podman container runs an API service so workers can themselfs execute builds inside containers.
Please install Podman and test if it works:
podman run --rm -it docker.io/library/alpine:latest
Once Podman works, install podman-compose
:
pip install podman-compose
Now it's possible to run all services via podman-compose
:
mkdir -p ./asu-service/public/
podman-compose up -d
This will start the server, the Podman API container and two workers. The first
run needs a few minutes since available packages are parsed from teh upstream
server. Once the server is running, it's possible to request images via the API
on http://localhost:8000
. Modify podman-compose.yml
to change the port.
Production
For production it's recommended to use a reverse proxy like nginx
or caddy
.
System requirements
- 2 GB RAM (4 GB recommended)
- 2 CPU cores (4 cores recommended)
- 50 GB disk space (200 GB recommended)
Development
After cloning this repository, create a Python virtual environment and install the dependencies:
Running the server
poetry install
poetry run flask run
Running a worker
poetry run rq worker
API
The API is documented via OpenAPI and can be viewed interactively on the server: