shrutisheoran / log-analysis

Log Analysis

This project answers to the following questions using sql

• Most popular articles of all time
• Most popular authors of all time
• Date on which more than 1% requests lead to errors

To know answers follow the instructions

Meeting the Requirements

1. Configure virtual machine using vagrant

• Download vagrant from here
• Download configuration files from here
• Extract those files in a folder then open git bash in the folder.
• Run vagarant up in git bash.
• Then run winpty vagrant ssh or vagrant ssh to login.
• Now you have up and runnig postgresql in your system with python3 and newly created database news.

2. Tables and necessary python libraries.

• cd into vagrant by running cd /vagrant.
• Run sudo apt-get install psycopg2 if not installed.
• To create all the necessary tables download the newsdata.sql file from here.
• Then run this command psql -d news -f newsdata.sql.

Run Log Analysis

1. Clone or download the zip file of the repository.
2. Extract the files in a folder.
3. Open git bash in the folder.
4. Now to obtain the analysis run python3 reporting_tool.py or .\reporting_tool.py.
5. Open the following text files to see the output.

• popular_articles.txt
• popular_authors.txt
• status.txt