nutritionist

This project is forked from a mutual project of Liron Blum & me. This project is identical to the original project we developed together but contains additional information (screenshots, presentation & background ) which will be presented by me at Reversim Summit 2018 - https://summit2018.reversim.com/session/5b0d4dfc4b330d00147e3374

Project Architecture:

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Background

As presented at the Revesim Summit 2018 presentation

When was the last time you wrote an algorithm to plan your diet?

Genetic Algorithm is known for being able to solve Constraint Satifaction Problems. Modeling our problem - what to eat in order to maintain a diat - as a Constraint Satifaction Problem helped to better understand the use of Genetic Algorithm.

After modeling our problem as CSP, we modeled the solutions as solutions of Genetic Algorithm:

finally, this is our Genetic Algorithm flow:

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Activation:

There are detailed activation instructions in each service Readme file. Here I will elborate on activating and getting results from the service 'planner' since this is the service which activates the Genetic Algorithm.

1. Download / clone project

2. Build & run planner container : cd planner /planner $ scripts/run.sh build /planner $ scripts/run.sh up

3. In order to make sure you did it all correctly go to the swaggerUI at this address: http://localhost:9122/docs/#/

   screenshot of planner swaggerUI:

   

For an example Activation - copy request from: planner ->test->testData->request.json and insert it to the swaggerUI. It should look like :

Then if everything works like expected your results should look like:

Activation of all microservices:

1. Build all microservices: $ ./runMeToBuildApp.sh
2. Start all microservices: $ cd planner $ docker-compose -f docker-compose-all.local.yml up
3. Load nutrition data to MongoDB:
   • follow the instructions in this repo: https://github.com/schirinos/nutrient-db