Set up local environment

Setup Python development environment

Ensure you are using Python Python 3.8 (We recommend using pyenv to handle different Python versions.)
Ensure you have the dependency management tool Poetry installed by this guide. The easiest is to do pip install poetry
Ensure you have the dependency tool tesseract installed, following the instructions in this guide.
From the root folder, install the dependencies in a virtual environment:
```
poetry install -E parsers
```

You can now run a few different commands:

poetry run lint # linting
poetry run test # run unit tests

You might need to have zlib and libjpeg installed on your machine.

First up, make sure you're using Python 3.8 (or 3.7). Also, see Troubleshooting for fixes to common issues.

If it's still not working, please create an issue where you include the output from poetry debug so that we can help debug it.

Install docker
First, you need to compile the frontend. Open a terminal in the root directory and run:
```
docker-compose build
```
Start the application by running:
```
docker-compose up
```
This will watch over source file changes, run nonstop and watch changes you make in the code to recompile the frontend if needed.
Go to http://localhost:8000/ and you should now see the map!
You can run the mockserver to color the map by running:
```
yarn run mockserver
```

Notes:

These steps only build with the English language (which will be faster as not all languages need to be built). To build all languages, change the command of the web-watch-en section of docker-compose.yml from command: npm run watch-en to command: npm run watch.
The backend handles the calculation of carbon emissions. The map data from the mock server provides dummy data from the state file.

See Troubleshooting for common issues and fixes when building the map locally.

Do you have a question or an idea for improvements? Open a new discussion here