This is a web application created to process a website's words frequency

Deployed in Azure Platform with Google Cloud Database Platform it can be access through the url:

http://html-analysis.azurewebsites.net/

As pre-requisites you will need git and docker up and running, then type:

git clone https://github.com/william-mendes/html-analysis.git
cd html-analysis
docker-compose up --build

Once the container is up and running go to: http://localhost:5000

• Finish implementation of Stanford NLP to get only nouns and verbs
• Clean Html properties from words list
• Enrich Docker-Compose Setup to proccess also a instance of MySql, to make the application run entirely local
• Implement a restricted admin section
• Performance improvements

• htmlanalysis/ClientApp railsjs application
• htmlanalysis/* .NETCore WebApi project
• htmlanalysis/Domain folder holdes (xml) documented classes with the domain
• htmlanalysis/Migrations holds EFCore Migrations

• DDD approach for design
• SOLID principles properly applied
• Unit tests covering most important routines
• Naming attempted created valid domain ubiqutuous language
• Slice tests ensuring sucessfull partial integration between critical components
• API + SPA segregation
• UI / Backend communication using REST-like/SOA approach
• EntityFrameworkCore - CodeFirst - used for persistence