rizvansky / biproductive Goto Github PK

This possibility is required for testing and admin's usage. It is not expected to be available for ordinal users.

Add there info about

• fuctionality of our application
• licence
• info how to contribute

Application should generate the pdf report with tables of habit statistics, correlation analysis of habits and chart with brain activity during the time

See how to deploy to Heroku, if it's not very difficult, then make an automatic deployment to Heroku

If habit name is matches with one another, return in context message that {habit name} is already exists

Add Dockerfile to automate deploying django application and together with database
App should be deployed only with one command - docker-compose --build - so add to docker compose file info about docker file

1. Make an correlation analysis app
2. Make there a fuction that returns dataframe with correlations, like

|    | habits         |   correlation |
|---:|:---------------|--------------:|
|  0 | Drinking tea   |           0.9 |
|  1 | Smoking        |           0.4 |
|  2 | Making startup |          -0.4 |
|  3 | Drinking beer  |           0.5 |

3. Make a fuction that returns statictics about the habits (all statistics or during last month), like

|    | date       | Drinking tea   | Smoking   | Making startup   | Drinking beer   |
|---:|:-----------|:---------------|:----------|:-----------------|:----------------|
|  0 | 04.10.2021 | yes            | no        | yes              | yes             |
|  1 | 05.10.2021 | no             | yes       | yes              | yes             |
|  2 | 06.10.2021 | no             | yes       | yes              | yes             |
|  3 | 07.10.2021 | no             | yes       | yes              | yes             |
|  4 | 08.10.2021 | no             | yes       | yes              | yes             |
|  5 | 09.10.2021 | no             | yes       | yes              | yes             |

4. Make a function that returns a df with brain statistics, like

|    | labels     |   data |
|---:|:-----------|-------:|
|  0 | 04.10.2021 |     10 |
|  1 | 05.10.2021 |     20 |
|  2 | 06.10.2021 |     25 |
|  3 | 07.10.2021 |     30 |
|  4 | 08.10.2021 |     60 |
|  5 | 09.10.2021 |     50 |

Link to example to try: https://stackoverflow.com/questions/36487961/django-unit-testing-taking-a-very-long-time-to-create-test-database

Set debug=False and run 'python manage.py check --deploy' before deploy -- this check for leakage secrets

Создать django app для игры (игра передает по ссылке user_id/ мозговую активность - какое-то число

It could happen that right after the login the home page charts and tables could not render - check it after mergin into 12-add-front-end to dev

Add web page with adding habit and add backeng logic for it, make for it separate application in django, add tests for it

There should be status "No info" for the correlation analysis to work correctly

Reference: https://www.pluralsight.com/guides/work-with-ajax-django