/python-p4-validation-flask-sqlalchemy-validations-lab

Primary LanguagePythonOtherNOASSERTION

Flask-SQLAlchemy Validations Lab

Learning Goals

  • Define constraints and validations in data processing.
  • Ensure that only acceptable input is sent to the database using validations.

Key Vocab

  • Constraint: a rule enforced on the data columns of a table. Ensures that only appropriate data is saved to the database.
  • Validation: an automatic check to ensure that data entered is sensible and feasible.
  • Forms: A web form (or HTML form) is a place where users enter data or personal information that's then sent to a server for processing.

Introduction

This project has starter code for a couple of models, Author and Post. To get set up, run:

This is a test-driven lab. Run pipenv install to create your virtual environment and pipenv shell to enter the virtual environment.

To generate a database create the migration and , from server/ run:

$ flask db upgrade

Basic Validations

Add validations to these models such that...

  1. All authors have a name.
  2. No two authors have the same name.
  3. Author phone numbers are exactly ten digits.
  4. All posts have a title.
  5. Post content is at least 250 characters long.
  6. Post summary is a maximum of 250 characters.
  7. Post category is either Fiction or Non-Fiction.

Then run pytest -x to run your tests. Use these instructions and pytest's error messages to complete your work in the server/ folder.

Custom Validations

Finally, add a custom validator to the Post model that ensures the title is sufficiently clickbait-y. The validator should add a validation error if the title does not contain:

  • "Won't Believe"
  • "Secret"
  • "Top"
  • "Guess"

Resources