In a world where we are always striving to do better, and to continously improve, this server provides you with current metrics.
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To run in a Python 3 Virtual Env:
$ pip install -r requirements.txt; ./manage.py runserver; $ curl http://localhost:8000/ | jq
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Run a Redis docker container with the Redis Timeseries module. (See separate section for example command)
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To install the cron job with django-kronos, run:
./manage.py installtasks
.. and then peek in ./debug.log
Natrually, this app continues to improve.
An example of analysing of timeseries data can be found by running this notebook.
jupyter notebook utils/providers/strava/Monthly\ Kilometers\ Cycled\ timeseries\ exampe.ipynb
You'll need to have Redis with the Timeseries module accessible at localhost. Using docker, you can do:
docker run \
-p 6379:6379 \
-v /home/jon/docker-data:/data \
-d redislabs/redismod \
-- loadmodule /usr/lib/redis/modules/redistimeseries.so \
-- dir /data \
-- dbfilename dump.rdb
[ ] For each metric, write script that obtains the metric from the 3rd party and writes a new row to a csv in {metric}/data/{year}.csv
[ ] Have the view retrieve the most recent row of the csv in json response
[ ] Schedule get_metric() to repeat every 5 seconds / 1 minute with celery
[ ] Dockerize celery
[ ] Check output file named with year exists, if not create it
[ ] have a Jupyter notebook generate the chart from existing data for each metric
[ ] A frontend android widget displaying a nuxt generated static site with refresh button to update data from server: https://tinyurl.com/y6qt52sp
[ ] New metric: github contributions this week
[ ] New metric: KM Cycled this month