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# 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](https://docs.docker.com/engine/installation/linux/).
## 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.
```bash
mkdir ~/ssd ~/devel
chmod a+w ~/ssd ~/devel
```
**Note**:
* 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
#### Pre-built image
A pre-built image is available on [IoT.bzh](http://iot.bzh) public site and can be used directly.
First, download and load the image in your local Docker instance:
```bash
wget -O - http://iot.bzh/download/public/2016/docker/docker_agl_worker-3.0.tar.xz | sudo docker load;
docker images;
REPOSITORY TAG IMAGE ID CREATED SIZE
docker.automotivelinux.org/agl/worker 2.1 42009148bc03 6 days ago 926.9 MB
jenkins latest 55720d63e328 5 weeks ago 711.9 MB
hello-world latest c54a2cc56cbb 5 months ago 1.848 kB
```
#### Rebuilt image
The Docker image for AGL Worker can be rebuilt using the scripts published here [agl-docker-worker](https://github.com/iotbzh/agl-docker-worker).
### Start image
Then, use the 'create_container' script to start a new, fresh container based on the AGL Worker image:
**Note**:
* The password for the id 'devel' inside the docker image is 'devel'.
```bash
git clone https://github.com/iotbzh/agl-docker-worker;
cd agl-docker-worker;
./contrib/create_container 0;
docker ps;
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
4fb7c550ad75 docker.automotivelinux.org/agl/worker:2.1 "/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:
```bash
create_container 1;
ssh -p 2223 devel@mybuilder.local;
... [ 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:
```bash
ssh -p 2222 devel@mysdk.local;
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
You're ready to go: get the sources, run the builds ...
```bash
git clone <your repo for your app>;
cd <your app>;
cmake; make; make package;
```
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