# MATTER CHEF APP

The purpose of the chef app is to to:

1. Increase the coverage of device types in Matter
2. Provide a sample application that may have its data model easily configured.

Chef uses the shell app a starting point, but processes the data model defined
on ZAP files during build time. This procedure is handled by its unified build
script: `chef.py`.

When processing ZAP files as part of the build process, Chef places the
auto-generated zap artifacts under its `out` temporary folder. Chef uses
artifacts from `zzz_generated` for CI/CD.

All device types available (.zap files) are found inside the `devices` folder.

## Building your first sample

1. Make sure you have the toolchain installed for your desired target.
2. Run `chef.py` the first time to create a `config.yaml` configuration file. If
   you already have SDK environment variables such as IDF_PATH (esp32) and
   ZEPHYR_BASE (nrfconnect) it will use those values as default.
3. Update your the SDK paths on `config.yaml`. TTY is the path used by the
   platform to enumerate its device as a serial port. Typical values are:

```
    # ESP32 macOS

    TTY: /dev/tty.usbmodemXXXXXXX

    # ESP32 Linux

    TTY: /dev/ttyACM0

    # NRFCONNECT macOS

    TTY: /dev/tty.usbserial-XXXXX

    # NRFCONNECT Linux

    TTY: /dev/ttyUSB0
```

4. Run `$ chef.py -u` to update zap and the toolchain (on selected platforms).
5. Run `$ chef.py -gzbf -t <platform> -d lighting`. This command will run the
   ZAP GUI opening the `devices/lighting.zap` file and will allow editing. It
   will then generate the zap artifacts, place them on the `zap-generated`
   folder, run a build and flash the binary in your target.
6. Run `chef.py -h` to see all available commands.

## Creating a new device type in your device library

1. Run `$ chef.py -g -d <device>` to open in the ZAP GUI a device to be used as
   a starting point.
2. Edit your cluster configurations
3. Click on `Save As` and save the file with the name of your new device type
   into the `devices` folder. This device is now available for the script. See
   `chef.py -h` for a list of devices available.

## Folder Structure and Guidelines

-   `<platform>`: build system and `main.cpp` file for every supported platform.
    When porting a new platform, please minimize the source code in this folder,
    favoring the `common` folder for code that is not platform related.
-   `common`: contains code shared between different platforms. It may contain
    source code that enables specific features such as `LightingManager` class
    or `LockManager`, as long as the application dynamically identify the
    presence of the relevant cluster configurations and it doesn't break the use
    cases where chef is built without these clusters.
-   `devices`: contains the data models that may be used with chef. As of Matter
    1.0 the data models are defined using .zap files.
-   `out`: temporary folder used for placing ZAP generated artifacts.
-   `sample_app_util`: guidelines and scripts for generating file names for new
    device types committed to the `devices` folder.
-   `config.yaml`: contains general configuration for the `chef.py` script. As
    of Matter 1.0 this is used exclusively for toolchain and TTY interface
    paths.
-   `chef.py`: main script for generating samples. More info on its help
    `chef.py -h`.

## CI

All CI jobs for chef can be found in `.github/workflows/chef.yaml`.

These jobs use a platform-specific image with base `chip-build`. Such images
contain the toolchain for the respective platform under `/opt`.

CI jobs call chef with the options `--ci -t $PLATFORM`. The `--ci` option will
execute builds for all devices specified in `ci_allow_list` defined in
`cicd_config.json` (so long as these devices are also in `/devices`) on the
specified platform.

CI jobs also call the function `bundle_$PLATFORM` at the end of each example
build. This function should copy or move build output files from the build
output location into `_CD_STAGING_DIR`. Typically, the set of files touched is
the minimal set of files needed to flash a device. See the function
`bundle_esp32` for reference.

### Adding a platform

First, implement a `bundle_$PLATFORM` function.

Next, ensure that the examples in `ci_allow_list` build in a container using the
relevant platform image. You can simulate the workflow locally by mounting your
CHIP repo into a container and executing the CI command:

```shell
docker run -it --mount source=$(pwd),target=/workspace,type=bind connectedhomeip/chip-build-$PLATFORM:$VERSION
```

In the container:

```shell
chown -R $(whoami) /workspace
cd /workspace
source ./scripts/bootstrap.sh
source ./scripts/activate.sh
./examples/chef/chef.py --ci -t $PLATFORM
```

Once you are confident the CI examples build and bundle in a container, add a
new job to the chef workflow.

Replace all instances of `$PLATFORM` with the new platform. Replace `$VERSION`
with the image version used in the rest of the workflows, or update the image
version for all images in the workflow as needed.

```yaml
chef_$PLATFORM:
    name: Chef - $PLATFORM CI Examples
    runs-on: ubuntu-latest
    if: github.actor != 'restyled-io[bot]'

    container:
        image: connectedhomeip/chip-build-$PLATFORM:$VERSION
        options: --user root

    steps:
        - uses: Wandalen/wretry.action@v1.0.15
          name: Checkout
          with:
              action: actions/checkout@v3
              with: |
                  token: ${{ github.token }}
              attempt_limit: 3
              attempt_delay: 2000
        - name: Checkout submodules
          run: scripts/checkout_submodules.py --shallow --platform $PLATFORM
        - name: Bootstrap
          timeout-minutes: 10
          run: scripts/build/gn_bootstrap.sh
        - name: CI Examples $PLATFORM
          shell: bash
          run: |
              ./scripts/run_in_build_env.sh "./examples/chef/chef.py --ci -t $PLATFORM"
```

## CD

Once CI is enabled for a platform, the platform may also be integrated into
`integrations/cloudbuild/`, where chef builds are defined in `chef.yaml`. See
the `README` in this path for more information.

Note that the image used in `chef.yaml` is `chip-build-vscode`. See
`docker/images/chip-build-vscode/Dockerfile` for the source of this image. This
image is a combination of the individual toolchain images. Therefore, before a
platform is integrated into chef CD, the toolchain should be copied into
`chip-build-vscode` and `chef.yaml` should be updated to use the new image
version.

Finally, add the new platform to `cd_platforms` in `cicd_config.json`. The
configuration should follow the following schema:

```json
"$PLATFORM": {
    "output_archive_prefix_1": ["option_1", "option_2"],
    "output_archive_prefix_2": [],
}
```

Take note of the configuration for `linux`:

```json
"linux": {
    "linux_x86": ["--cpu_type", "x64"],
    "linux_arm64_ipv6only": ["--cpu_type", "arm64", "--ipv6only"]
},
```

This will produce output archives prefixed `linux_x86` and
`linux_arm_64_ipv6only` and will append the respective options to each build
command for these targets.

To test your configuration locally, you may employ a similar strategy as in CI:

```shell
docker run -it --mount source=$(pwd),target=/workspace,type=bind connectedhomeip/chip-build-vscode:$VERSION
```

In the container:

```shell
chown -R $(whoami) /workspace
cd /workspace
source ./scripts/bootstrap.sh
source ./scripts/activate.sh
./examples/chef/chef.py --build_all --keep_going
```

You may also use the Google Cloud Build local builder as detailed in the
`README` of `integrations/cloudbuild/`.

## Adding new devices

To add new devices for chef:

-   Execute `python sample_app_util.py zap <zap_file> --rename-file` to rename
    the example and place the new file in `examples/chef/devices`.
    -   See the `README` in `examples/chef/sample_app_util/` for more info.
-   Execute `scripts/tools/zap_regen_all.py`, commit `zzz_generated` and
    `examples/chef/devices`.
    -   This is gated by the workflow in `.github/workflows/zap_templates.yaml`.
-   All devices added to the repository are built in CD.