![]() ![]() You can get in contact with us by writing an issue, via twitter or email at. !!!WARNING THIS STEP WILL DELETE YOUR DATABASE!!! docker-compose down -volumes and then run docker-compose up db frontend backend Run docker-compose up db frontend backend again and check if your problem has been resolved.ĭocker-compose build -no-cache to rebuild all images and run docker-compose up db frontend backend again. Stop all running containers with Ctrl+C and run docker-compose down which will delete all containers (no data will be deleted). To restart your local development environment start with step 3. To shut down you local development environment head back to the terminal of step 3 and press Ctrl+C. DbVisualizer is a feature rich, intuitive and cross platform database tool for developers and DBAs providing a single powerful interface for a variety of databases. These crawlers run periodically in our production system. To run any crawler and add data into your database run docker-compose run crawler python crawl_risklayer_lk.py, docker-compose run crawler python crawl_rki_cases.py, docker-compose run crawler python crawl_divi_public.py. When you update any file in the frontend or backend code, the servers will restart and reload automatically. You can test API calls at localhost:5000/. Open your browser with URL localhost:4200 to see the frontend. Frontend/gis/src/environments/environment.ts the apiUrl is set to apiUrl: ' Leave this terminal open, you can check here for any log messages. The database will be automatically populated with the tables, however, no data will be available initially. Start a separate terminal and run docker-compose up db frontend backend to start all the services. ![]() Initial: Install docker and docker-compose on your system (Note: for Windows & Mac, docker-compose is already shipped with Docker Desktop). We are constantly seeking to expand our map and add more countries. If a country or region you know is providing similar data please let us know. Please note that we access publicly available data. ![]()
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