Temperature Service

service to detect temperature and humidity based on geo position

Table of content

• Quick start
• Unit test
  • Unit test reports
• API documentation
• Temperature and humidity algorithm

Quick start

• install node and yarn. Install yarn using below command.

npm install -g yarn

• clone the repo from the github.

git clone "git@github.com:iAbhishek91/temperature-service-api.git"

• install the required packages

yarn

• quick start the application

yarn start

Unit test

• this microservice has 100% unit test coverage.
• also lint test are integrated.

yarn test

Unit test reports

post execution of unit test, following reports are generated.

• coverage report: available at ./coverage/Icov-report/index.html.
• unit test report: avialble at ./unitTestResult.html

Dockerize

docker build -t abdas81/temperature-service

API documentation

refer API documentation: <hosted-domain>/api/v1/docs

Temperature and humidity algorithm

for simplicity, I have divided earth into 3 zone (purly fictitious)

• tropical region (latitude between +20 and -20)
  • high temperature: 30 to 55 degree celcius
  • high humidity: between 60 and 90 %
• arctic region (latitude between +45 and 90 or -45 and -90)
  • low temperature: 0 to 15 degree celcius
  • low humidity: between 0 and 20 %
• between topical and arctic (latitude between +21 and 44 or -21 to -44)
  • medium temperature: 10 to 25 degree celcius
  • medium humidity: between 10 and 70 %

If longitude is +ve(east hemisphere) then the above calculated temperature and humidity are increased by 5

Valid values

• latitude: between -90 and +90
• longitude: between -180 and +180

If invalid values are passed the service throws HTTP 400

Example

latitude = 85.76868; longitude = 120.6876;
{
  temperature: 18,
  humidity: 20,
}

latitude = -95.; longitude = 120;
{
  error: 'error message......',
}