/Engineering-Challenge-Backend

Backend Engineering Challenge for Holmusk.

Primary LanguageJavaScript

Backend-Developer-Challenge

Name: Le Hong Trieu
Mobile: +6597547944
Email: hongtrieule@gmail.com
Git: https://github.com/lhtrieu87

Pre-conditions:

  • mongodb is installed and execute mongod to run mongodb at localhost:27017 (default port)
  • npm install sails -g
  • npm install

Commands:

In order to scrape myfitnesspal's foods and store them in a database, execute node scrape.js. The scraped food items are stored in myfitnesspal database and in collection fooditem. If you face TCP connection error, please try again, but scraped data so far should have been persisted into the db. Data scraping is implemented using Highland stream library and x-ray scraping library.

Apis:

  • To run the server: sails lift. By default, the server runs at http://localhost:1337
  • Search endpoint for autocomplete curl "http://localhost:1337/fooditems/search?searchKey=chicken". Replace 'chicken' with other search term. The search for autocomplete is implemented using Mongodb full text search. The approach is fast as it is optimized by the db. The limitation is that it is word based, not character based and does not support fuzzy matching. A better approach may be elastic search http://blog.mongodb.org/post/95839709598/how-to-perform-fuzzy-matching-with-mongo-connector.
  • Retrieve the nutritional information for a given food id curl "http://localhost:1337/fooditems/{foodId}"
  • Create manually a new food item curl -H "Content-Type: application/json" -X POST -d '{"name":"Testing food","company":"Test company","nutritionalTable":{"Vitamin A":"1%"}}' "http://localhost:1337/fooditems"