An image on demand server for OpenWrt based distributions
Project description
Attendedsysupgrade Server for OpenWrt (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
.
It's called Attended SysUpgrade (ASU) because the upgrade process is not started automatically, but is initiated by a user who waits until it's done.
ASU is based on an API (described below) 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
- sysupgrade.openwrt.org
- asu.aparcar.org
chef.libremesh.org(CNAME
to asu.aparcar.org)
Run your own server
Redis is required to store image requests:
sudo apt install redis-server tar
Install asu:
pip install asu
Create a config.py
.
You can use misc/config.py
as an example.
Start the server via the following commands:
export FLASK_APP=asu.asu # set Flask app to asu
flask janitor update # download upstream profiles/packages - this runs forever
flask run # run development server - this runs forever
Start the worker via the following comand:
rq worker # this runs forever
Docker
Run the service inside multiple Docker containers. The services include the _
ASU_ server itself, a janitor service which fills the Redis database with
known packages and profiles as well as a rqworker
which actually builds
images.
Currently all services share the same folder and therefore a very "open" access is required. Suggestions on how to improve this setup are welcome.
mkdir -p ./asu-service/public/
chmod -R 777 ./asu-service/
cp ./misc/config.py ./asu-service/
docker-compose up
A webserver should proxy API calls to port 8000 of the server
service while
the asu/
folder should be file hosted as-is.
Production
It is recommended to run ASU via gunicorn
proxied by nginx
or
caddyserver
. Find a possible server configurations in the misc/
folder.
The ASU server will try $PWD/config.py
and /etc/asu/config.py
to find a
configuration. Find an example configuration in the misc/
folder.
pip install gunicorn
gunicorn "asu.asu:create_app()"
Ideally use the tool squid
to cache package indexes, which are reloaded every
time an image is built. Find a basic configuration in at misc/squid.conf
which should be copied to /etc/squid/squid.conf
.
If you want to use systemd
find the service files asu.service
and
worker@.service
in the misc
folder as well.
Development
After cloning this repository, create a Python virtual environment and install the dependencies:
python3 -m venv .direnv
source .direnv/bin/activate
pip install -r requirements.txt
export FLASK_APP=asu.asu # set Flask app to asu
export FLASK_APP=tests.conftest:mock_app FLASK_DEBUG=1 # run Flask in debug mode with mock data
flask run
API
The API is documented via OpenAPI and can be viewed interactively on the server:
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