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Shopify Django App Example

This project makes it easy to get a Shopify app up and running with Django and the Python Shopify API.

This project simply displays basic information about the shop's products and orders.

This project has the following structure

shopify_app an app which handles authentication (meant to be reusable)
home an app which contains the example code to demonstrate how to use the API (meant to be modified or replaced to create your Shopify App).
shopify_django_app project files for serving this app.

Get It Running

Create Your App Configuration

Log in to your partners dashboard
Navigate to your apps
Click Create App
Choose a custom app or public app
Fill in the app name
Set the Application Url http://localhost:8000/
Set Whitelisted redirection URL( http://localhost:8000/shopify/finalize/

You will then have access to your API key and API secret KEY, you will need these for the next steps.

Setup Environment

Copy over the .env.local file into a .env file and fill out the SHOPIFY_API_KEY and SHOPIFY_API_SECRET fields

cp .env.local .env

Generate a secret key and add it to .env by running the following in the command line:

python -c 'import random; print("".join([random.choice("abcdefghijklmnopqrstuvwxyz0123456789!@#$%^&*(-_=+)") for i in range(50)]))' >> .env

For PC Users: Run this command in GIT Bash or Windows Subsystem For Linux. Alternatively, you can generate a secret key using the Python interpreter. This requires you to manually add the Django secret key to your .env file by doing the following:

Open the python interpreter:

python

Inside the python interpreter, generate the secret key, copy it, and exit:

>>> import random
>>> print("".join([random.choice("abcdefghijklmnopqrstuvwxyz0123456789!@#$%^&*(-_=+)") for i in range(50)]))
>>> exit()

[Optional] you can add the api version and api scopes environment variables to the .env file:

SHOPIFY_API_VERSION default is unstable
SHOPIFY_API_SCOPE a comma-separated list of scopes, default is read_products,read_orders

Run the App

We use pipenv to get running faster. With the .env already created in the root directory, run the app:

pipenv install
pipenv run python manage.py migrate
pipenv run python manage.py runserver

Open http://localhost:8000 in your browser to view the example.