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asu's Introduction

Attendedsysupgrade Server (GSoC 2017)

codecov PyPi

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

ofs

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.

luci

CLI

With OpenWrt SNAPSHOT-r26792 or newer the CLI app auc was replaced with owut as a more comprehensive CLI tool to provide an easy way to upgrade your device.

owut

The auc package performs the same process as the luci-app-attendedsysupgrade from SSH/the command line.

auc

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:

# where to store images and json files
echo "PUBLIC_PATH=$(pwd)/public" > .env
# absolute path to podman socket mounted into worker containers
echo "CONTAINER_SOCK=/run/user/1001/podman/podman.sock" >> .env
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 the 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 fastapi dev asu/main.py

Running a worker

# podman unix socket (not path), no need to mount anything
export CONTAINER_HOST=unix:///run/user/1001/podman/podman.sock
poetry run rq worker

Update targets

To update the list of available targets, run:

poetry run python3 misc/update_all_targets.py

This may be added to a cron job to update the targets regularly. The script must be changed in case you want to update the targets from a different source or run the server on a different port.

API

The API is documented via OpenAPI and can be viewed interactively on the server:

asu's People

Contributors

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