udacity-log-analysis's Introduction

Udacity Logs Analysis Project

This project is a simple CLI reporting tool based on tables in a PostgreSQL database.

The tool runs three reports for answers to the following 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?

Quick start

I recommend the user use a virtual machine to ensure they are using the same environment that this project was developed on, running on your computer. You can download Vagrant and VirtualBox to install and manage your virtual machine.
Then you must have the PostgreSQL newsdata.sql database running from the FSND virtual machine. Download the newsdata.sql provided by Udacity here. Unzip the file in order to extract newsdata.sql. This file should be inside the Vagrant folder.
From the 'vagrant' directory, run vagrant up.
SSH to the virtual machine with vagrant ssh.
Connect to the psql database with psql -d news -f newsdata.sql
Than we can be able to run the reporting tool as:

python log_analysis.py

Example output

What are the most popular three articles of all time?
    "Candidate is jerk, alleges rival" — 338647 views
    "Bears love berries, alleges bear" — 253801 views
    "Bad things gone, say good people" — 170098 views
Who are the most popular article authors of all time?
    Ursula La Multa — 507594 views
    Rudolf von Treppenwitz — 423457 views
    Anonymous Contributor — 170098 views
    Markoff Chaney — 84557 views
On which days did more than 1% of requests lead to errors?
    July 17, 2016 — 2.3% errors

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