Automated FMI open data scraper, processor and database

This is the backend used in the sataako-service.

Heroku: https://sataako2017.herokuapp.com/

• View rainfall map: https://sataako2017.herokuapp.com/rainmap
• Helsinki centrum rain data: https://sataako2017.herokuapp.com/forecast/24.938379/60.169856
• Kumpula campus rain data: https://sataako2017.herokuapp.com/forecast/24.961839/60.204419

Requires python 2.7 and pip. After installing them install required packages with pip install -r requirements.txt.

Set environment variables:

• FMI_API_KEY is a key for the weather data
• LD_LIBRARY_PATH should be appended with a path to the pyoptflow folder. For example LD_LIBRARY_PATH=${LD_LIBRARY_PATH}/path/to/pyoptflow:

Run the server with ./run_server.sh.

• Source: https://en.ilmatieteenlaitos.fi/open-data
• License: Creative Commons Attribution 4.0 International

• Source: http://www.naturalearthdata.com/
• License: Public domain