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The Project serves the Engine API and handles state management of multiple Engine instances.
This project is based on a swagger-enabled Flask server using an *API First* approach. It also uses the [Connexion](https://github.com/zalando/connexion) library on top of Flask.
```bash
pip3 install -r requirements.txt
# Additional requirements for the chosen database
pip3 install -r contrib/mariadb-requirements.txt
# Create database and user (change password in script)
sudo mysql -u root -p < contrib/mariadb-database.sql
To run the server, please execute the following from the root directory:
./run.sh api
```
To run the API in an local development server execute:
## Running with Docker
To run the server on a Docker container, please execute the following from the root directory:
```bash
# Building the image
./run.sh docker:build
# Push the current image to dockerhub.com
./run.sh docker:push
# Starting up a container
./run.sh docker:api
```
## Using the API
Adding some entry to the playlog:
```bash
curl -d '{ "track_start": "2020-06-25 15:38:44", "track_artist": "Aphex Twin", "track_title": "Windowlicker", "log_source": 1 }' -H "Content-Type: application/json" -X POST http://localhost:8008/api/v1/playlog/store
```
The attribute `log_source` is a numeric presentation of the engine (`1` or `2`) where this log entry
is coming from. If you are using additional audio sources, such as automated music player, you can
define your own numeric id for such device.
All other API endpoints are listed in the interactive documentation: