forecastio

forecastio

A node.js client library for Forecast.io API.

For explanation and more detailed info about endpoints and response format see Forecast.IO API documentation

Installation

npm install forecastio

Usage

Say you need a forecast for London, UK:

var ForecastIo = require('forecastio');

var forecastIo = new ForecastIo('<apiKey>');
forecastIo.forecast('51.506', '-0.127', function(err, data) {
  if (err) throw err;
  console.log(JSON.stringify(data, null, 2));
});

"Time Machine" Requests

Forecast.io also supports Time Machine requests. Quoting official documentation you can make request for "60 years in the past to 10 years in the future" for "many places". Example:

// What was the weather like in London on January 1st 2008?
forecastIo.timeMachine('51.506', '-0.127', '2008-01-01T00:00:01Z', function(err, data) {
  if (err) throw err;
  console.log(JSON.stringify(data, null, 2));
});

Request Options

Both #forecast() and #timeMachine() methods support passing additional options. Below are some example, for all options consult Forecast.IO API documentation.

Example of requesting ad forecast in Si(metric) units with only 'daily' fields:

var options = {
  units: 'si',
  exclude: 'currently,hourly,flags'
};
forecastIo.forecast('49.844', '24.028', options, function(err, data) {
  if (err) throw err;
  console.log(JSON.stringify(data, null, 2));
});

"Time Machine" request in Si units and localized in Italian:

var options = {
  units: 'si',
  lang:  'it'
};
forecastIo.timeMachine('49.844', '24.028', '2008-01-01T00:00:01Z', options, function(err, data) {
  if (err) throw err;
  console.log(JSON.stringify(data, null, 2));
});

TODO

• Request timeout
• Logging (for debugging at least)
• Smarter API methods (accept Date object in #timeMachine() and convert it to string, for example)

Contributing

• Fork the repo & commit changes

• Make sure tests are not failing:

  $ env FORECASTIO_API_KEY=your_api_key npm test

• Create a pull request