Sample Data
Is helpful when developing
Sample data scripts expose issues with data models
Querying in the shell
python3 manage.py shell
The interactive Python environment can be used to create records and query the database.
Import all necessary modules and models for the session.
Book.objects.all()
Outputs:
An empty query set was returned.
Add a book:
book.save()
Book.objects.all()
Outputs:
A book was successfully created. Importing everything in the beginning of the shell is painful.
Exit the the shell with exit()
Querying with shell_plus
Navigate to the same directory as requirements.txt.
shell_plus doesn’t come with Django out-of-the-box.
Add the new package to the list of installed packages.
Run pip freeze from the same directory as requirements.txt to update the file. Otherwise, you will create another requirements.txt.
Go to settings.py and register the extension in INSTALLED_APPS.
Then, navigate to the locallibrary directory where manage.py is located and run:
Now you can query without needing to import models manually.
Sample data script
Install the Faker library and add it to requirements.txt
pip freeze > requirements.txt
See create_sample_data.py at https://github.com/Samuel-Lubliner/local-library-django-tutorial/blob/main/locallibrary/create_sample_data.py
Run the sample data script:
To start querying run python3 manage.py shell_plus
