wowremywang/shopify_django_app

Get a Shopify app up and running with Django and Python Shopify API

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

1. Create a .env file in the root of your project and add to it the following contents

SHOPIFY_API_KEY=[your api key]
SHOPIFY_API_SECRET=[your api secret]

2. Generate a secret key and add it to .env by running the following in the command line: printf 'DJANGO_SECRET=' >> .env; 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. Or you can generate a secret key using the Python interpreter and manually add the Django secret key to your .env file:

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

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

• 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 runserver

You may get warnings about migrations, but they should not stop you.

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