Preparing your system for this workshop

Option 1 (recommended): VS Code devcontainer

Note: this requires Docker to be installed / running on your system

Download and install VS Code: https://code.visualstudio.com/download

After installing, open VS Code and clone this repo:

• press ctrl + shift + P
• type git clone and select the Git: Clone command
• paste the url for this repo in the prompt bar: https://github.com/robinmackaij/robocon-demo-api

Once the repo has been cloned, you can open it when prompted. After the repo opens, a dialog should pop up in the lower right corner asking if you want to install the recommended Extensions for this repo. After installing the recommended Extensions, you should be prompted again, this time with the question if you want to open the repo in a devcontainer. If this is not the case, press ctrl + shift + P and type reopen container which should find the command to build the devcontainer and open the repo in the container.

Once building the container has finished, you should be able to proceed to the section Running the API server using poetry and invoke to check if everything works as expected.

Option 2: Python + poetry in a local virtual environment

This repo uses poetry for Python environment isolation and package management. Before poetry can be installed, Python must be installed. The minimum version to be installed can be found in the pyproject.toml file. For this workshop Python 3.10 or higher is required. The appropriate download for your OS can be found here.

After installing Python, poetry can be installed. For OSX/ Linux / bashonwindows the command is:

curl -sSL https://install.python-poetry.org | python3 -

For Windows the PowerShell command is:

(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | py -

To ensure the install succeeded, you can open a new shell and run

poetry --version

Windows users: if this does not work, see https://python-poetry.org/docs/#installing-with-the-official-installer point 3

Next poetry can be configured to create virtual environments for repos within the repo (this makes it easy to locate the .venv for a given repo if you want to clean / delete it):

poetry config virtualenvs.in-project true

Now that poetry is set up, the project's Python dependencies can be installed:

poetry install

Optional (recommended): VS Code user settings and launch configuration

In the repo there is a .vscode folder with in it 2 example files. Copy both these files and rename them to launch.json and settings.json to have a default set of launch / debug configurations and base settings.

Running the API server using poetry and invoke

In addition to poetry, the invoke package is used to create tasks that can be ran on all platforms in the same manner. These tasks are defined in the tasks.py file in the root of the repo. To see which tasks are available, run

poetry run inv --list

If the .venv is activated in the current shell, this can be shortened to inv --list

Further information / documentation of the tasks (if available) can be shown using

poetry run inv --help <task_name>

To start the API server used for the workshop, simply run

poetry run inv start-api

Once the API server has started, you can connect to the Swagger UI at http://127.0.0.1:8000/docs#/