LogAnalysis is an internal reporting tool that will use information from the database to discover what kind of articles the site's readers like.

LogAnalysis uses a number of tools to work properly:

• Python - an interpreted, high-level, general-purpose programming language.
• PostgreSql - free and open-source relational database management system (RDBMS)
• Oracle VirtualBox -free and open-source hosted hypervisor for x86 virtualization.

LogAnalysis requires Vagrant to run the virtual machine and Git Bash to execute commands.

LogAnalysis reporting tool consists of three parts represent three Sql queries which execute Sequentially and every query answers a question. Every part is coded as following:

• define Database connection variable.
• define Database cursor.
• using the cursor to execute the query.
• fetching the query result.
• define a (for) loop to print out the result.
• close the database connection.

All data is stored in PostgreSql database called (news). Before running the tool we must create two Views (most_articles , bad_req_days) to let our reporting tool runs.

from [Git Bash] enter vagrant file directory:

1- run the virtual machine:

$ vagrant up
$ vagrant ssh

2- enter the database:

$ psql -d news                           

3- create the views:

news=>create view most_articles as
select substr(path,10) article,count(path) as num from log where status = '200 OK' group by path order by num desc offset 1;

news=>create view bad_req_days as
select count(status) bad_req_sum , TO_CHAR(time,'Month DD,YYYY') as day from log where status ='404 NOT FOUND'
group by TO_CHAR(time,'Month DD,YYYY') order by count(status) desc;

4-exit from PostgreSql:

news=>Ctrl+d

/LogAnalysis: contains reporting tool (LogAnalysis.py)

$ cd /vagrant/LogAnalysis
$ python LogAnalysis.py