Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners

Appendix Nike+ Fuelband Script to Retrieve Information

import groovyx.net.http.ContentType
import groovyx.net.http.RESTClient

def accessToken = ‘17269d534424f87dbfc99c6ac1ab6f4’
def nikePlusClient = new RESTClient(‘https://api.nike.com/me/sport/’)

def activities = []

def fetchAgain = true
def offset = 1
def count = 10
while (fetchAgain) {
    // grab the top-level activities list
    println “Fetching top-level activities for offset: ${offset}, count: ${count}”
    def resp = nikePlusClient.get(
    path:‘activities’,
    contentType : ContentType.JSON,
    headers: [
    appid : ‘fuelband’,
    Accept : ‘application/json’
    ],
    query:[
    access_token : accessToken,
    offset : offset,
    count : count
    ]
    )

    assert resp.status == 200

    resp.data.data.each() {
    println “Fetching details for: ${it.activityId}”
    def activityResp = nikePlusClient.get(
    path: “activities/${it.activityId}”,
    contentType : ContentType.JSON,
    headers: [
    appid : ‘fuelband’,
    Accept : ‘application/json’
    ],
    query: [
    access_token : accessToken
    ]
    )
     assert activityResp.status == 200     // add this data for this activity     activities.add([     activityResp.data.activityId,     activityResp.data.startTime,     activityResp.data.activityType,     activityResp.data.metricSummary.fuel,     activityResp.data.metricSummary.distance,     activityResp.data.metricSummary.duration,     activityResp.data.metricSummary.steps     ])     }     // ...