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# Setting Up a Staging Environment for Dropship V2

This guide outlines the process of setting up a staging environment for the Dropship V2 project. A staging environment allows you to test changes in a production-like setting before deploying to the live site.

## Prerequisites

- A separate server or hosting environment for staging (e.g., a separate Heroku app)
- Access to a staging database (can be a separate database on the same server as production)

## Steps to Set Up Staging

1. Clone the repository on your staging server:
```
git clone https://github.com/CrzyHAX91/dropshipv2.git
cd dropshipv2
```

2. Create a new branch for staging:
```
git checkout -b staging
```

3. Set up environment variables for staging:
Create a .env file in the project root and add the following variables:
```
DEBUG=False
SECRET_KEY=your_staging_secret_key_here
DATABASE_URL=your_staging_database_url
ALLOWED_HOSTS=your-staging-domain.com
```

4. Install dependencies:
```
pip install -r requirements.txt
```

5. Run database migrations:
```
python manage.py migrate
```

6. Collect static files:
```
python manage.py collectstatic
```

7. Set up a process manager (e.g., Gunicorn) to run the application.

8. Configure your web server (e.g., Nginx) to serve the application.

## Deploying to Staging

1. Push changes to the staging branch:
```
git push origin staging
```

2. On your staging server, pull the changes:
```
git pull origin staging
```

3. Restart your application server.

## Testing in Staging

- Perform thorough testing of all features in the staging environment.
- Test with a copy of production data (be sure to anonymize sensitive information).
- Verify that all third-party integrations work correctly in the staging environment.

## Promoting Staging to Production

Once testing in staging is complete and successful:

1. Merge the staging branch into main:
```
git checkout main
git merge staging
git push origin main
```

2. Deploy the main branch to your production environment.

Remember to always test thoroughly in staging before deploying to production.

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