Project: Log Analysis

The Log Analysis project is the first project in Udacity's full stack web development nanodegree program. The task was to build an internal reporting tool answering the following three questions:

• What are the most popular three articles of all time?
• Who are the most popular article authors of all time?
• On which days did more than 1% of requests lead to errors?

The webapp makes use of

• We are using a tools called Vagrant and VirtualBox to manage our VM.
• a newsdata.sql file provided by Udacity
• Flask
• Python
• PostgreSQL

Getting started

• To get started, install vagrant and VirtualBox. You'll find a detailed guide for installing here.
• Cd into the vagrant directory and create a folder called newsdata
• Download the files news.py, newsdb.py and newsdata.sql, unzip and put them into the newsdata directory.
• Start up the VM and login by using the commands vagrant up followed by vagrant ssh.
• On your virtual Linux machine, cd into /vagrant/newsdata and use the command psql -d news -f newsdata.sql. to load the data.
• Run the webapp with the command python news.py
• Open your favorite browser and go to localhost:8000
• Once the webapp has loaded, you'll see the Newsdata log including the three following sections:
  1. Top 3 articles by views
  2. Top 3 authors by article views
  3. Dates on which requests errors were above 1%
• To close the connection from the command line press ctrl + c, logout of the VM with the command ctrl + d and shutdown your VM with the command vagrant halt.

Author

• Kim Skovhus Andersen

Acknowledgement

• Udacity provided the training, review and feedback