This project is the fourth project in the curriculum of Udacity’s Full Stack Web Developer Nanodegree. This project uses Python, Flask and SQLAlchemy to create a database of categories and items and a CRUD web application. It uses Google authentication and a local permission system for user authorization. The project was styled using Bootstrap.
You must have Python installed on your machine. Check your Python version by running python -V.
- Install VirtualBox
- Install Vagrant
- Install Git
- Download this repository. Click on the green
Clone or downloadbutton, then click onDownload ZIP. There's no need to log in or make a GitHub account. This will give you a directory namedfullstack-nanodegree-vm-master. You will most likely find it in yourDownloadsfolder. - Navigate to the
vagrantdirectory inside offullstack-nanodegree-vm-master. - Open the terminal app on your Mac or the command prompt on your Windows machine and run
vagrant up. This may take some time as it will install an OS on your machine. Don't be alarmed by the green and red lines showing on your screen. - Run
vagrant ssh. - Run
cd /vagrant. This will take you to the shared folder between your VM and host machine. - Download this repository (dmahely/item-catalog) and place its contents in
fullstack-nanodegree-vm-master/vagrant/. - Run
python db_setup. This command will create a file nameditems.dbin the same directory. - Run
python db_population.py. This command will populate the database with some items and categories. - Run
python webserver.py. This command will get the server up and running. - Go to http://localhost:5000/ in your browser.
You should see a webpage that has some categories and some items.
I wrote all of the code except for the gconnect and gdisconnect methods, which were provided to me in a course by Udacity. I was inspired by how Dustin D'Avignon styled his own web app and decided to use Bootstrap to style mine as well.