E-commerce website side project

See it live in production: https://www.tfnglun.com

Website for physical shop to provide more infomation about the shop's services, location, and available products.

• Home page - provides a basic landing page and a notice section to show users any new update/notice.

• Products page - contains list of all the products, provides a fast search bar that allows users to easily search for products.

  • Uses Algolia search to index all the products.
  • Uses Algolia InstantSearch.js for the front-end widgets in products page.
  • Uses Google Cloud Storage buckets to store the uploaded images.
  • Uses mongoDB-Atlas to store product information.

• Admin page - allows shop owner to easily perform CRUD operations on products / notices, without having to deal with any source code.

• Contacts page - shows the shop information, contact details and provides a contact form to allow users to send any enquiries.

  • A map showing the shop's location using Google Maps Javascript API
  • A simple google recaptcha widget is used to prevent any potential spamming of the contact form.
  • Once contact form is filled and submitted, the django backend uses Mailjet REST API to send the contact form via email to the shop's email address.

• SEO

  • Added meta tags in all pages (viewport, robots, HandheldFriendly, MobileOptimized, og:* tags)
  • Added favicons links/tags
  • Added canonical tags on all pages
  • Added robots.txt
  • Added sitemap.xml generated via django-sitemaps

Future Improvements

• Implement online payment solution using services like Stripe / Shopify.
• Migrate to AWS.

Technologies used

Python 3.7
Django 3.0.8
Google Maps API
Google App Engine
MongoDB Atlas
Google Cloud Storage
Algoliasearch
Algolia - InstantSearch.js
Mailjet Rest API
Bootstrap 4.5

Usage

Setup Environment

Install Git

Note: You will need this to clone this repository

• For Windows users, download and install from https://gitforwindows.org/
• For linux users, the distribution should already come installed with git.

Install Python (Miniconda/Anaconda)

Go to the following link to install Python in your system:

1. Download installer (Miniconda only):
   https://docs.conda.io/en/latest/miniconda.html
2. Follow installation instructions:
   https://conda.io/projects/conda/en/latest/user-guide/install/index.html
3. Once installed, run commands conda --version followed by pip list to verify installation. You should see something similar to the outputs below:

   # anywhere in command line, to verify installation
   conda --version
   # conda 4.8.3
   
   pip list
   # Package             Version
   # ------------------- -------------------
   # appdirs             1.4.4
   # asn1crypto          0.24.0
   # ...

4. Install pipenv package:

   pip install pipenv
   

Install Google Cloud SDK (required for deploying to GAE)

• Download/Install from https://cloud.google.com/sdk/install

• Follow this quickstart guide: https://cloud.google.com/sdk/docs/quickstart-windows

  Summary of quickstart guide:

  • Create GCP project (skip if already done)
  • Create billing account (skip if already done)
  • Install the App Engine Extension for Python 3

    gcloud components install app-engine-python
    

  • Run gcloud init, then you will be prompted to login to your google cloud account. Click "allow" to login.
  • Then you will prompted to select your cloud project on the command line.

Setup working directory

1. Clone/Download repository source code:
   Once Python is installed/setup, download/clone this repository to get the source code.

   git clone [email protected]:zckoh/ecommerce-fullstack.git

2. Install Python dependencies:
   Go to project directory, use pipenv to install the required packages:

   cd ecommerce-fullstack
   pipenv install django algoliasearch-django mailjet-rest djongo django-storages[google] django-cleanup Pillow dnspython

   This will install the required packages and generate the Pipfile and Pipfile.lock files in the project directory

   Then run the following command to save the dependencies list to website/requirements.txt:

   pipenv run pip freeze > website/requirements.txt

3. Setup secrets file:
   Use the following commands to create the 2 secrets files:

   touch website/secrets.txt
   touch website/secrets.yaml

   First add the following lines in the two files (we will fill in the values in the next step):

   • secrets.txt (Please save the file with LF line sequence) :

     export DJANGO_SECRET=""
     export ALGOLIA_ADMIN_API_KEY=""
     export MJ_APIKEY_PUBLIC=''
     export MJ_APIKEY_PRIVATE=''
     export MONGO_DB_USERNAME=''
     export MONGO_DB_PASSWORD=''
     export GS_CLOUD_KEY_FILENAME='path_to.json'

   • secrets.yaml (Please save the file with LF line sequence) :

     env_variables:
         DJANGO_SECRET: ''
         MJ_APIKEY_PUBLIC: ''
         MJ_APIKEY_PRIVATE: ''
         ALGOLIA_API_KEY: ''
         MONGO_DB_USERNAME: ''
         MONGO_DB_PASSWORD: ''
         GS_CLOUD_KEY_FILENAME: 'path_to.json'

   For DJANGO_SECRET, run the following command which will generate a string of random characters:

   python -c 'from django.core.management.utils import get_random_secret_key; print(get_random_secret_key())'
   

   Copy the string of random characters generated, and paste the string as the value of DJANGO_SECRET .

   For ALGOLIA_API_KEY, go to https://www.algolia.com/apps/PROJECTID/api-keys/all, and copy the Admin API Key and paste the API Key as the value of ALGOLIA_API_KEY.

   For MJ_APIKEY_PUBLIC and MJ_APIKEY_PRIVATE, login to Mailjet account, and head to "Account Settings", then click on "Master API Key & Sub API key management", there you will find the 2 keys. Copy and paste them into the two secrets file accordingly.

Now you are all set!

To run django locally:

cd ecommerce-fullstack
pipenv shell

### Use local_deploy script
./website/scripts/local_deploy.sh

### OR do it manually 

cd website
source secrets.txt

## NOTE: DON'T FORGET TO SET DEBUG = True in website/settings.py first when testing locally
python manage.py runserver

To deploy to Production/GAE (Google App Engine):

Use deploy.sh script:

cd website
./scripts/deploy.sh