Built as part of the Udacity's Full Stack Nanodegree this is a RESTful web application utilizing the Flask framework which accesses a SQL database that populates dream categories and their items. OAuth2 provides authentication for further CRUD functionality on the application.

1. Python3
2. Vagrant

• This is the software that configures the Virtual machine

3. Virtual Box

• This is the software that actually runs the virtual machine
• Allows you to share files between the VM filesystem and your host computer
• Install the platform package for your OS
• Don't launch after installing, Vagrant handles this for you

4. Udacity Vagrant Machine

1. Install Python3
2. Install Vagrant
3. Install Virtual Box
4. Download or clone the Udacity Vagrant Machine repository and place it in the vagrant directory

1. Inside the Vagrant directory downloaded from the full-stack-nanodegree-vm run this command in your terminal vagrant up
2. Log in to the VM vagrant ssh
3. Change directory to the files and look around cd /vagrant' 'ls'

1. Load the data in the local database python database_setup.py
2. Populate the database python dreamFiles.py

1. Log in to Google Dev Console
2. Go to Credentials
3. Select Create Crendentials > OAuth Client ID
4. Select Web Application
5. Enter name 'Dream Catalog'
6. Under 'Authorized Javascript Origins add' http://localhost:5000/
7. Authorized redirect URIs = 'http://localhost:5000/login' && 'http://localhost:5000/gconnect'
8. Click create client ID
9. Download JSON and save it as "client_secret.json" in the root directory (replace the existing)
10. In main.html replace the line "data-clientid="#####.apps.googleusercontent.com" so that it uses your Client ID from the web applciation.

1. Log in to Facebook Dev Console
2. Go to Dashboard
3. Click Add Product on the bottom left of the page
4. Add facebook login
5. Click Client OAuth
6. Add http://localhost:5000/ to the Valid OAuth redirect URIs section
7. Replace app_id and app_secret in fb_client_secrets.json file

1. From the vagrant direcotry inside the VM python project.py
2. Navigate to http://localhost:5000/ in your browser

To exit type control + D