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https://github.com/s0fft/sycloth-shop
Clothing-Shop — SSR Ecommerce Project on Django + API on Django REST Framework
https://github.com/s0fft/sycloth-shop
api-rest celery django django-rest-framework django-templates ecommerce layout postgresql postman python3 redis server-side-rendering unit-testing
Last synced: 1 day ago
JSON representation
Clothing-Shop — SSR Ecommerce Project on Django + API on Django REST Framework
- Host: GitHub
- URL: https://github.com/s0fft/sycloth-shop
- Owner: S0fft
- License: mit
- Created: 2023-03-24T12:00:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-07T14:51:19.000Z (9 days ago)
- Last Synced: 2024-11-07T15:45:47.905Z (9 days ago)
- Topics: api-rest, celery, django, django-rest-framework, django-templates, ecommerce, layout, postgresql, postman, python3, redis, server-side-rendering, unit-testing
- Language: Python
- Homepage:
- Size: 9.74 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# SyCloth
#### Clothing-Shop — SSR ecommerce project on Django + API on Django REST Framework
The online clothing store with registration/authorization, a
shopping cart, user-profile-settings, a configured admin
panel and order payment functionality (Stripe). Implemented
email-verification. Created API. Unit Tests are written. OAuth
2.0 added. For storage using PostgreSQL.
#### Stack:
- Pyhton
- Django
- Django REST Framework
- PostgreSQL
- Redis
- Celery
Additional libraries are specified in the `requirements.txt` file.
## Project Setup on Windows
### - Installing the Stack
To begin, install: [Python](https://www.python.org/downloads/) | [PostgreSQL](https://www.postgresql.org/) | [Redis](https://redis.io/)
Links are provided to the latest version of the tools.
### - Cloning a Project from GitHub
Create a root directory on your computer, then open it in your code editor or terminal.
Next, write this command into the command line:
```powershell
git clone https://github.com/S0fft/SyCloth-Shop.git .
```
You will see the project files appear in your directory.
### - Creating a Virtual Environment
Create a virtual environment:
```powershell
python -m venv .venv
```
And activate it:
```powershell
.venv\Scripts\Activate
```
### - Installing the Requirements
Next, install packages:
```powershell
python.exe -m pip install --upgrade pip
```
```powershell
pip install -r requirements.txt
```
### - Applying the Migrations and Fixture
Using Migrations to Create a Database Structure. Load data from fixture for products and appearance other information.
```powershell
python manage.py migrate
```
```powershell
python manage.py loaddata
```
### - Starting Redis and Celery
After, launch Redis and Celery using these commands:
```powershell
redis-server
```
```powershell
celery -A store worker --loglevel=INFO
```
### - Running the Server
Then, run server:
```powershell
python manage.py runserver
```
After starting the server, you can access the application by navigating to `http://127.0.0.1:8000` in your browser.
Project Setup on Unix-Like Systems
These commands do the same thing as described above:
### - Installing the Stack
To begin, install: [Python](https://www.python.org/downloads/) | [PostgreSQL](https://www.postgresql.org/) | [Redis](https://redis.io/)
Links are provided to the latest version of the tools.
### - Cloning a Project from GitHub
Create a root directory on your computer, then open it in your code editor or terminal.
Next, write this command into the command line:
```powershell
git clone https://github.com/S0fft/SyCloth-Shop.git
```
You will see the project files appear in your directory.
### - Creating a Virtual Environment
```bash
python3 -m pip install --upgrade pip
```
```bash
source ./venv/bin/activate
```
### - Installing the Requirements
```bash
pip install --upgrade pip
```
```bash
pip install -r requirements.txt
```
### - Applying the Migrations and Fixture
```bash
python3 manage.py migrate
```
```bash
python3 manage.py loaddata
```
### - Starting Redis and Celery
```bash
redis-server
```
```bash
celery -A store worker --loglevel=INFO
```
### - Running the Server
```bash
python3 manage.py runserver
```
After starting the server, you can access the application by navigating to `http://127.0.0.1:8000` in your browser.