Launching

The app can be launched on different data and models, which are defined in a config file. Different config files are readily available in the repo, under config/.

TLDR to launch the app locally

Assuming you already installed poetry and yarn (See Initial Setup), you can run the app by performing:

make local_configs  # modify all configs for local usage
make CFG_PATH={path to config file} launch.local  # Start the backend.

{path to config file} should be the path in local_configs. Ex for clinc dummy: local_configs/development/clinc_dummy/conf.json

In another terminal:

cd webapp && yarn start # Starts the frontend.

Launching locally

When debugging, it is easier to launch the back end and the front end separately, as shown in the next two sections. However, it is also possible to launch both together using Docker, as shown in the third section below. It will just take longer, and does not allow for fast debugging.

Back End

Config files need to be regenerated for local development.
```
make local_configs
```
This will create a new folder /local_configs under the project root and will perform the necessary config updates to run locally.
You can then launch the back end using:
```
make CFG_PATH={path to config file} launch.local
```
- For {path to config file}, use the path to the file in local_configs rather than configs. With clinc_dummy, this will be:
```
make CFG_PATH=local_configs/development/clinc_dummy/conf.json launch.local
```
Error in the Back End?

If you get an error while launching the back end, common causes can be that the poetry has new dependencies or the configs were changed. Be sure to run:
```
poetry install --extras cpu
make local_configs
```
If you get No module named '_lzma'...

You may be missing the xz library (https://tukaani.org/xz/). That would result in a ModuleNotFoundError: No module named '_lzma' when you try to run locally. This may be corrected by using homebrew to install it. The following instructions are inspired from those.
```
brew install xz
pyenv uninstall 3.8.9  # If you already had it - otherwise directly go to the steps
pyenv install 3.8.9  # Reinstall (now with the lzma lib available)
pyenv local 3.8.9  # Set this version to always run in this directory
```

From this point, the back end will launch and compute the start-up task.

You can consult the openapi documentation at localhost:8091/docs. From there, you can consult the API documentation and try out the different endpoints. This can be useful for debugging.
Note that the back end will not reload automatically based on code changes.

Cleaning the Cache

If you make changes to back-end modules that result in different module responses, you will need to delete the cache, using:

make clean

As soon as you have an error in the start-up task, a good reflex is to use this command. Optionally, you can clean a single project by supplying the project name as an argument.

make TARGET=CLINC clean

will delete all cache folders beginning with CLINC.

Front End

You can then launch the front end using:

cd webapp
yarn        # Only needed when dependencies were updated.
yarn start

The front-end app will launch and automatically connect to the back-end API, assuming you launched it already.
The front end will hot reload automatically based on code changes.

Error in the Front End?

If you get an error while launching the front end, make sure that the dependencies were updated using yarn.

Launch Using Docker

Docker compose will build the images and connect them, using the following command.
```
make CFG_PATH=/config/examples/.../conf.json launch
```
Note that the path starts with /config as we mount ./config:/config.

Launch multiple instances

You can launch multiple instances of Azimuth (e.g., to compare effects of code changes) by specifying front-end and back-end ports.

To specify the back-end port, start the back end using:

make CFG_PATH={path to config file} PORT={back-end port} launch.local

To connect the front end to this back end, start the front end using:

REACT_APP_BACKEND_PORT={back-end port} PORT={front-end port} yarn start

Use appropriate port numbers

Make sure that your back-end ports match for both commands, and that you specify ports that are not already in use. When ports are not specified, the defaults are 8091 for the back end and 3000 for the front end.