AGL SDK Quick Setup
This tutorial explains how to quickly setup an environment suitable to building and packaging AGL Applications using the SDK and a Docker container.
The current tutorial has been tested on Linux, but may work with a few adjustments for Windows or MacOS.
Step 1: install Docker
First install docker on your host, if not already done. General instructions for Linux are available on the Docker Site.
Add yourself to the docker group.
Step 2: setup persistent workspace
Docker images are pre-configured to use a particular uid:gid to enable the use of OpenEmbedded build system. They provide a dedicated user account devel which belong to uid=1664(devel) gid=1664(devel). (Note: password is devel)
The script ‘create_container’ presented below instantiates a new container and shares some volumes with the host:
- /xdt (the build directory inside the container) is stored in ~/ssd/xdt_$ID (specific to instance ID)
- /home/devel/mirror is stored in ~/ssd/localmirror_$ID (specific to instance ID)
- /home/devel/share => points to ~/devel/docker/share (shared by all containers)
Those shared volumes with the host needs the proper permissions to be accessible from the contained environment.
mkdir ~/ssd ~/devel chmod a+w ~/ssd ~/devel
- To gain access from your host on files created within the container, your host account requires to be added to group id 1664.
Step 3: install the “Generic AGL Worker” Docker Image
Get docker image
A pre-built image is available on automotivelinux download public site and can be used directly.
First, download and load the image in your local Docker instance:
wget -O - https://download.automotivelinux.org/AGL/snapshots/sdk/docker/docker_agl_worker-latest.tar.xz | docker load; docker images; REPOSITORY TAG IMAGE ID CREATED SIZE docker.automotivelinux.org/agl/worker-generic 5.99-95 6fcc19b4e0d7 2 weeks ago 1.56GB jenkins latest 55720d63e328 5 weeks ago 711.9 MB hello-world latest c54a2cc56cbb 5 months ago 1.848 kB
Identify the IMAGE_ID you just loaded. In the example above, this is 6fcc19b4e0d7
The Docker image for AGL Worker can be rebuilt using the scripts published here docker-worker-generator.
Then, use the ‘create_container’ script to start a new, fresh container based on the AGL Worker image:
- The password for the id ‘devel’ inside the docker image is ‘devel’.
git clone https://git.automotivelinux.org/AGL/docker-worker-generator; cd docker-worker-generator; ./contrib/create_container 0 $IMAGE_ID; docker ps; CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 4fb7c550ad75 6fcc19b4e0d7 "/usr/bin/wait_for_ne" 33 hours ago Up 33 hours 0.0.0.0:2222->22/tcp, 0.0.0.0:69->69/udp, 0.0.0.0:8000->8000/tcp, 0.0.0.0:10809->10809/tcp agl-worker-odin-0-sdx
Step 4: install the AGL SDK for your target
Here, we assume that we just built an image ‘agl-demo-platform-crosssdk’ using the Yocto build procedure documented in the Getting Started section of the documentation.
So we can copy such file to the shared volume.
For example, we could have built the SDK from another worker container listening with SSH on port 2223:
create_container 1; ssh -p 2223 email@example.com; ... [ prepare build environment ] ... bitbake agl-demo-platform-crosssdk; ... [ build happens in /xdt/build ] ... cp /xdt/build/tmp/deploy/sdk/poky-agl-glibc-x86_64-agl-demo-platform-crosssdk-cortexa15hf-neon-toolchain-3.0.0+snapshot.sh ~/share;
then login to the first “SDK Container” and install the SDK:
ssh -p 2222 firstname.lastname@example.org; install_sdk ~/share/poky-agl-glibc-x86_64-agl-demo-platform-crosssdk-cortexa15hf-neon-toolchain-3.0.0+snapshot.sh;
Step 5: build your application
First, you must source the SDK environment you wish to use (you MUST repeat this step each time you open a new shell):
You’re then ready to go: get the sources, run the builds …
git clone <your repo for your app>; cd <your app>; cmake; make; make package;