Set up local environment

Running parsers locally

1. Make sure you have installed the required modules as described in parsers/requirements.txt, and are using python 3.6 (consider using a virtual environment for python). To confirm this, run:

   pip install -r parsers/requirements.txt
   

2. From the root folder, use the test_parser.py command line utility:

   python test_parser.py FR price  # get latest price parser for France
   python test_parser.py FR  # defaults to production if no data type is given
   # test a specific datetime (parser needs to be able to fetch past datetimes)
   python test_parser.py DE --target_datetime 2018-01-01T08:00

Many of the tests require API keys of the data or web service providers, and therefore fail with an error message like

Exception: No ENTSOE_TOKEN found! Please add it into secrets.env!

In such cases, please browse the website related to the provider and ask for an API key. Once you get hold of the API key, make it an environment variable. This fixes the error.

Running the frontend map

1. Install docker

2. First, you need to compile the frontend. Open a terminal in the root directory and run:

   docker-compose build
   

3. 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.

4. Go to http://localhost:8000/ and you should now see the map!

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 displayed comes from a mock server providing dummy data from the state file.

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