Rules evaluator

Your mission if you choose to accept it, will be to write a rules evaluator to identify common patterns, also known as DLP

Requirements

Each rule should have conditions and actions, the condition defines what should be evaluated and the action defines what to do if the condition is met. Any rule must have 1 or more condition/action, each condition will have a matching action

• Use a logger so we can follow the logic
• Consider error handling
• Add tests
• We will try to load a very big data set of data, so consider performance

Condition explained

There should 2 type of conditions

1. Simple - textual match, as in the example SSN has certain validations, the condition should define them and the action should report if they match
2. Complex (This is optional) - evaluate an expression such as is number max length 10 digits ("len < 11")

Action

An action should be able to run any given code which is predefined in the rule and return true/false if the rule has a match

Accept as input new rules

You may read rules from a file in any format that you prefer (e.g.: json, xml ..), please provide 3 examples

Accept data as input

Accept as input a given block of text which is fetched only in runtime by the program from the internet (as input accept a url)

Report

Write a report containing all the matches found by the rules

Expected output for the home project

• A working Java solution
• Create and load a file in your chosen format for the 3 rules from the "Test DLP.docx" file
• Get a URL as input to the program (For Example: https://www.protecto.ai/wp-content/uploads/2020/08/Book1.xlsx-us-social-security-22-cvs.csv)
• Output to a file a report of the rules evaluation

Good luck# rule-engine