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Updated README.md and dev.yml to match demo.yml

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Keannu Bernasol 2024-08-30 23:15:28 +08:00
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README.md
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@ -13,11 +13,11 @@ This is a Django template that I personally use for my projects. This covers the
- Selenium (Optional, for webscraping with support for Chrome and Firefox drivers) - Selenium (Optional, for webscraping with support for Chrome and Firefox drivers)
- Stripe Subscriptions (Optional, with regular and pro-rated subscription support) - Stripe Subscriptions (Optional, with regular and pro-rated subscription support)
- Notifications (via traditional RESTful endpoints) - Notifications (via traditional RESTful endpoints)
- CI/CD pipeline templating with Woodpecker for automated deployments - A working Woodpecker CI/CD template for automated deployments
A live API demo can be found [here](https://api.template.06222001.xyz/swagger) A live API demo can be found [here](https://api.template.06222001.xyz/swagger)
## Development ### Development
- Create a copy of the `.env.sample` file and name it as `.env` in the same directory - Create a copy of the `.env.sample` file and name it as `.env` in the same directory
- Populate .env with values - Populate .env with values
@ -25,10 +25,10 @@ A live API demo can be found [here](https://api.template.06222001.xyz/swagger)
Be sure to follow through the steps shown in the `stripe-listener` container for initial setup with Stripe! Be sure to follow through the steps shown in the `stripe-listener` container for initial setup with Stripe!
## URLs ### URLs
- [Django Admin](http://localhost:8000/admin) - [Django Admin Panel](http://localhost:8000/admin)
- [OpenAPI Swagger](http://localhost:8000/swagger) (For testing endpoints) - [OpenAPI Swagger](http://localhost:8000/swagger) (For documenting endpoints)
- [Inbucket](http://localhost:8025) (For email testing) - [Inbucket](http://localhost:8025) (For email testing)
- [Flower](http://localhost:5555/) (For task monitoring) - [Flower](http://localhost:5555/) (For monitoring Celery tasks)
- [Django Silk](http://localhost:8000/silk) (For performance profiling) - [Django Silk](http://localhost:8000/silk) (For performance profiling)

2
docker-compose.dev.yml
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@ -33,7 +33,7 @@ services:
- django - django
- postgres - postgres
- redis - redis
## Runs multiple worker instances # Runs multiple worker instances
scale: 4 scale: 4
# Django Celery Beat # Django Celery Beat