Python Flask Bootstrap UI for Mars InSight Raw Images from NASA's API. Check out my demo here: https://nasa-insight-api.herokuapp.com/
The details below will get this project up and running on your local machine for development. See deployment for notes on how to deploy the project on Heroku.
Understanding how Flask is setup is important when getting started and requires a /templates and /static folder for your html and css respectively. Your html will need to include specific Flask syntax in order for the python template engine called, jinja2 to render the page. Below is an example of the jinja2 syntax using a {{ url_for }} to obtain your folders for stylesheets.
Starting with app.py you'll see all imports and libraries used to get started. I created a class for user notifications which included validation with WTForms. Each route is to display /images, confirm /sms, and /email. The most important route for /images is a request to the InSightAPI for all images. Next feature will include a search option to search by date. The model.py was for my SQLite3 database setup however, I will be moving to Postgres as Heroku doesn't fully support SQLite3.
This application is deployed on Heroku which required a Procfile and runtime.txt file. I used a .env file for my Twilio API keys and utilized os.environ.get in my code for retrieval.
- InsightAPI - Python library
- Flask - Microframework
- Bootstrap - Styling
- WTForms - Forms
- Twilio - SMS messages to user
- Sqlite3 - DB to store user's phone and email (moving to Postgres)
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
I plan on implementing versioning when I deploy next features after DB is setup.
- Mariam Joan - Initial setup - MJOAN
This project is licensed under the MIT License - see the LICENSE.md file for details