Project Overview

Developed an application that provides a list of items within a variety of categories as well as provide a user registration and authentication system. Registered users will have the ability to post, edit and delete their own items.

Directory Structure

• Python module project.py runs the Flask application.
• A SQL database is created using the database_setup.py module and it was populated the with test data using lotsofbookswithuser.py.
• The Flask application uses the stored HTML templates in the templates folder & & CSS file in the static folder to build the front-end of the application.

Instructions to run the project

You will need

• Python
• Vagrant
• VirtualBox

Setup a Google Plus auth application

1. Go to https://console.developers.google.com/project and login with Google.
2. Create a new project
3. Name the project
4. Select "API's and Auth-> Credentials-> Create a new OAuth client ID" from the project menu
5. Select Web Application
6. On the consent screen, type in a product name and save.
7. In Authorized javascript origins add http://localhost:8000
8. Click create client ID
9. Click download JSON and save it into the root directory of this project.
10. Rename the JSON file "client_secret.json"
11. In login.html replace the 'data-clientid' value so that it uses your Client ID from the web applciation.

Setup a Facebook auth application

• Create an APP ID
• Go to your app on the Facebook Developers Page.
• Click + Add Product in the left column.
• Find Facebook Login in the Recommended Products list and click Set Up.
• Click Facebook Login that now appears in the left column.
• Add http://localhost:8000/ to the Valid OAuth redirect URIs section.
• Create a file called fb_client_secrets.json file in the root directory of the repository.
• Paste the following into the fb_client_secrets.json file:

{ "web": { "app_id": "ENTER_APP_ID_HERE", "app_secret": "ENTER_APP_SECRET_HERE" } }

Setup

• Install Python, Vagrant, and VirtualBox.
• Clone this repository.

To Run

1. From your terminal, go to the root directory of this repository.
2. Run the command vagrant up.
3. Once you got the shell prompt back, run the command vagrant ssh to log in to the Linux VM.
4. Run the command python database_setup.py.
5. Use the command python lotsofbookswithuser.py to load the data.
6. To execute the program, run the command python project.py.
7. Access and test the application by visiting http://localhost:8000.