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# SaaS-in-a-Flask
[](https://codecov.io/gh/navanchauhan/SaaS-in-a-Flask)
[](https://github.com/navanchauhan/SaaS-in-a-Flask/actions/workflows/Flask-Tests.yaml)
[](https://heroku.com/deploy?template=https://github.com/navanchauhan/SaaS-in-a-Flask)
[](https://deepsource.io/gh/navanchauhan/SaaS-in-a-Flask/?ref=repository-badge)
In the wise words of @alectrocute:
> I've noticed SaaS bootstraps/boilerplates being sold upwards of $1,000 per year and I think that's fucking ridiculous.
## Features
- [x] **Landing Page:** Written in Bootstrap 5, compatible with [Bootswatch Themes](https://bootswatch.com)
- [x] **Database Management:** Using CLI or Superuser view
- **Authentication:** Using Flask-Login
- [x] Sign Up
- [x] Sign In
- [x] **OAuth2:** Using Authlib
- [ ] LDAP
- [ ] Forgot Password
- [x] Confirm Email
- [x] **Password Hashing:** Using Bcrypt (Flask-Bcrypt)
- [x] **Form Handling:** With Flask-WTF using WTForms
- [x] Dashboard
- [x] GitHub Workflows
- [ ] Admin Pages
- [ ] Role Support
- [ ] Team Management
- Error Handling
- [ ] Sentry Support
- [x] Error Code Handling
- [ ] Async AJAX Calls
- [x] **Tests:** Using PyTest
- [x] **Code Coverage:** Using CodeCov
- [ ] Delayed Jobs
- [ ] Logging
- [x] FastAPI Support
- Billing Handling
- [ ] Stripe
- [ ] GDPR Compliance / Data Export
- [x] Docker Images
- [x] **Automatic Deployments:** Using Heroku [https://saas-in-a-flask.herokuapp.com](Sample Deployment)
## Quick How-Tos
### Makefile
#### Install Dependencies using pip
```
make install
```
#### Initialise Database
```
make db
```
#### Run Development Server
```
make dev
```
### Running Tests
You need to be in the base directory of the repo to run tests.
#### Using Pipenv
```
pipenv run tests
```
#### Manually
```
python -m pytest
```
#### GitHub Workflow
The GitHub Workflow automatically installs all dependencies in the requirements.txt file and runs pytest on different Python 3 versions (3.7, 3.8 ,3.9). To generate the requirements.txt file from pipenv use `pipenv lock --dev -r > requirements.txt`
### Code Coverage
[Codecov](https://codecov.io) is used to automatically generate reports and upload to their website using a GitHub Action. Make sure to set up `CODECOV_TOKEN` secret in your repo to use the workflow.
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