Time series caching

Sample dashboard application to demonstrate practical time series caching with Python and Redis. The app shows a plot of all BTC transactions for a specific Bitcoin wallet in a specific date range.

See roman.pt/posts/time-series-caching/ for more details and explanation of what's going on inside.

How to get started

Create a new virtual environment with Python3.9 or newer and install the dependencies.

python3.9 -m venv env
source env/bin/activate
python -m pip install -r requirements.txt

Create a new free account at https://www.anyblockanalytics.com/ that acts as the upstream data source.

Start a local Redis server with Docker compose:

docker-compose up

Copy .env.sample to .env and update the file with ElasticSearch requisites.

cp .env.sample .env
edit .env

Start a new cron job populating the cache in the background

python ./app.py cron

Start a web server.

python ./app.py server

Open the browser for the dashboard: http://127.0.0.1:8050/