Moip has an application that sends webhooks to the ecommerce of its clients. These webhooks have information about payments (if they were authorized, canceled, etc).

This application generates quite large logs. We need to find out through the log who are the clients who receive the most webhooks and verify all the response status returned by the clients' servers.

The attached log file contains information about sending webhooks in format:

level=info response_body="" request_to"<url>" response_headers= response_status="<code>"

Where:

• url: it is the url to which the webhook was sent
• code: it is the status code returned by the client server
• The other information is irrelevant to this task.

You must parse the file and at the end show the following information in the output:

The top 3 urls (most called) with their quantity A table showing the amount of webhooks by status

e.g.:

• https://woodenoyster.com.br - 100

• https://grotesquemoon.de - 99

• https://notoriouslonesome.com - 90

• 200 - 100

• 201 - 99

ps: the above result is not the real one.

Create a repository on Github / Bitbucket with your solution and add documentation explaining how to run the program.

This task can be done using the programming language of your choice.

The evaluation will be based on:

• Line of thought (document what you deem important)
• Code design
• Efficiency
• Tests
• Correct answer

• ruby 2.3.3 @ Windows 10 64-bits
• rspec 3.5.0
• terminal-table 1.7.3

• I used Ruby because it's my favorite language. Simple like that.

• I handled the URL and Status Code data as a pair, saving them in a hash ({"url" => "https: // ...", "code" => 201 "}). Then I added each pair in an array.

• To manipulate the array of hashes, I create the following methods:

  • parse_line: to find in each log's line the URL and the status code, saving them in the array of hashes
  • top_three_url: to find the top 3 url in the array of hashes
  • count_status_code_table: to print a table with each status code and the amount of times they occurs

• Finally, I used RSpec because of my knowledge with the library

To run the code just type the following line in Terminal at project's root folder:

$ ruby main.rb

You can also run it with RSpec using the following line at project's root folder:

$ rspec spec/log_parser_spec.rb