A Streamlit app which fetches an overview data from the World Bank, specifically from the topics and their indicators defined in topics.json, and charts the data for selected countries.

• It makes heavy use of the asyncio Python native library to achieve concurrent I/O operations, namely API calls to World Bank.
• If Redis service available it will cache the data fetched in Redis, if not it will failover to caching in memory.

Take a look at the example.env, create your own .env file in the root of this repo and adjust the environment variables.

Create/activate virtual environment and install the app dependencies.

python3 -m venv .venv &&
source .venv/bin/activate &&
pip install --upgrade pip &&
pip install -r requirements.txt

Run the app out of the box.

streamlit run run.py --server.port 8080

If you want to make use of Docker use the the following command, which utilizes the compose.yaml file to spin the app and a Redis service in the background, which will make the app available on localhost:8080.

docker compose up --build --detach

You can check out the app logs with:

docker compose logs -f app