techtask.txt

THE CHALLENGE

 ✓  Any user can log in to the system with username and password.
    You can use generic views provided by Django to implement
    these features. Registering new users via the admin interface is
    enough. Note, you do not need to implement a user profile
    interface to support password change.

 ✓  Any logged-in user can create any number of data schemas to
    create datasets with fake data.

 ✓  Each such data schema has a name and the list of columns with
    names and specified data types.

 ✓  You need to implement different types of data (at least 5
    different types):
        Full name (a combination of first name and last name)
        Job
        Email
        Domain name
        Phone number
        Company name
        Text (with specified range for a number of sentences)
        Integer (with specified range)
        Address
        Date

 ~  Users can build the data schema with any number of columns
    with any type described above. Some types support extra
    arguments (like a range), others not.

 ✓  Each column also has its own name (which will be a column
    header in the CSV file) and order (just a number to manage
    column order).

 ✓  After creating the schema, the user should be able to input the
    number of records he/she needs to generate and press the
    “Generate data” button.

 ✓  After pressing the button, the system must use Celery to
    generate CSV file of specified structure, corresponding fake data
    and save the result in the file somewhere in the “media”
    directory.

 ✓  Build an online service for generating CSV files with fake(dummy)
    data using Python and Django:

 ✓  The interface should show a colored label of generation status
    for each dataset (processing/ready).

 ✓  Add a “Download” button for datasets available for download.

 ~  Completed application should be deployed to Heroku and be
    available online (HTTPS should be supported). Please, create a
    test user and provide us with the credentials.

 ✓  The source code should be committed to the repository on
    GitHub, Bitbucket, or GitLab.

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TECHNOLOGY STACK
Python 3
Django
Celery
Bootstrap, Bulma, UIKit or any other similar framework for UI

Use PEP8 for your Python code.

MOCKUP
The page structure can be seen here:

https://www.figma.com/file/GLah5wCMHIyw7hJI4Gekns/CSV-
fake-data-generator?node-id=24278%3A2