获取Jawbone UP中的个人数据（二）非官方API, Part 4
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4. 运动情况细节——Moves
在 Jawbone UP 的数据中， Move 指的是你的运动情况，Move 的数据是你从醒来之后到睡觉之间的所有运动。这有点废话。之所以这么说，是因为Jawbone UP 中还有一种行为叫做 workout ， 即锻炼，锻炼是对一段时间 Move 情况的一个标注。
除了前面介绍的 user/%userXid%/social 等用户行为概述 API 之外，与运动相关的 API 还有以下几个：
moves/%evtXid%moves/%evtXid%/snapshot从 user/%userXid%/social 结果中的 "data"."feed"."xid" 获得 %evtXid% ， 用于调用 moves/%evtXid% 和 moves/%evtXid%/snapshot 。
moves/%evtXid%
从 user/%userXid%/social 结果中的 "data"."feed"."xid" 获得 %evtXid% ， 用于调用 moves/%evtXid% 。
Request：
GEThttps://jawbone.com/nudge/api/moves/EJpCkyAtwoMwc2uwpORIFw/Params：
无Return :
{ "meta": { "code": 200, "message": "OK", "user_xid": "RGaCBFg9CsDYVvm2kchbcw", "time": 1372432000 }, "data": { "time_completed": 1371221340, "xid": "EJpCkyAtwoMwc2uwpORIFw", "details": { "distance": 4569, "tzs": [ [ 1371141660, "Asia/Shanghai" ] ], "wo_active_time": 0, "tz": "Asia/Shanghai", "active_time": 3436, "longest_idle": 8220, "calories": 229.194137503, "wo_count": 0, "wo_longest": 0, "bmr": 1194.78760804, "steps": 6602, "inactive_time": 27480, "km": 4.569, "wo_calories": 0, "bmr_day": 1259.45770371, "longest_active": 488, "wo_time": 0 }, "band_ids": [ "23424880A48CD061" ], "title": "6,602 \u6b65", "snapshot_image": "/nudge/image/e/1371266206/EJpCkyAtwoMwc2uwpORIFw.png", "comments": { "items": [], "size": 0 }, "time_updated": 1371266206, "emotions": { "items": [], "size": 0 }, "time_created": 1371141660, "date": 20130614, "shared": true, "type": "move", "networks": [], "goals": { "steps": 10000, "workout_time": null }, "user": { "xid": "RGaCBFg9CsDYVvm2kchbcw", "name": "Tester VisHealth", "short_name": "Tester", "image": "user/image/i/51b4916b03eb185d1c1948a5_RGaCBFg9CsDYVvm2kchbcw_137078820345_2781804_photo.jpeg", "last": "VisHealth", "type": "user", "first": "Tester" } }}moves/%evtXid%/snapshot
这个API应该是大家最感兴趣的内容了。
从 user/%userXid%/social 结果中的 "data"."feed"."xid" 获得 %evtXid% ， 用于调用 moves/%evtXid%/snapshot 。
Request：
GEThttps://jawbone.com/nudge/api/moves/EJpCkyAtwoMwc2uwpORIFw/snapshot?bucket=600Params：
'bucket' : bucket # 运动数据汇总时间颗粒度，以秒为单位，最小取值为 60Return :
运动详情以 bucket 参数设置的秒数为间隔，显示每段间隔内的运动数据。
{ "meta": { "code": 200, "message": "OK", "user_xid": "RGaCBFg9CsDYVvm2kchbcw", "time": 1372432001 }, "data": [ [ 1371142260, 21.0 ], [ 1371142860, 0 ], [ 1371143460, 0 ], [ 1371144060, 0 ], [ 1371144660, 0 ], [ 1371145260, 0 ], [ 1371145860, 0 ], [ 1371146460, 0 ], [ 1371147060, 0 ], [ 1371147660, 0 ], [ 1371148260, 0 ], [ 1371148860, 0 ], [ 1371149460, 0 ], [ 1371150060, 0 ], [ 1371150660, 0 ], [ 1371151260, 0 ], [ 1371151860, 0 ], [ 1371152460, 0 ], [ 1371153060, 0 ], [ 1371153660, 0 ], [ 1371154260, 0 ], [ 1371154860, 0 ], [ 1371155460, 0 ], [ 1371156060, 0 ], [ 1371156660, 0 ], [ 1371157260, 0 ], [ 1371157860, 0 ], [ 1371158460, 0 ], [ 1371159060, 0 ], [ 1371159660, 0 ], [ 1371160260, 0 ], [ 1371160860, 0 ], [ 1371161460, 0 ], [ 1371162060, 0 ], [ 1371162660, 0 ], [ 1371163260, 24.0 ], [ 1371163860, 24.0 ], [ 1371164460, 168.0 ], [ 1371165060, 154.0 ], [ 1371165660, 515.0 ], [ 1371166260, 100.0 ], [ 1371166860, 65.0 ], [ 1371167460, 166.0 ], [ 1371168060, 168.0 ], [ 1371168660, 498.0 ], [ 1371169260, 0 ], [ 1371169860, 0 ], [ 1371170460, 242.0 ], [ 1371171060, 0 ], [ 1371171660, 175.0 ], [ 1371172260, 0 ], [ 1371172860, 0 ], [ 1371173460, 0 ], [ 1371174060, 0 ], [ 1371174660, 0 ], [ 1371175260, 0 ], [ 1371175860, 0 ], [ 1371176460, 0 ], [ 1371177060, 0 ], [ 1371177660, 0 ], [ 1371178260, 0 ], [ 1371178860, 0 ], [ 1371179460, 0 ], [ 1371180060, 19.0 ], [ 1371180660, 0 ], [ 1371181260, 241.0 ], [ 1371181860, 360.0 ], [ 1371182460, 0 ], [ 1371183060, 215.0 ], [ 1371183660, 135.0 ], [ 1371184260, 77.0 ], [ 1371184860, 34.0 ], [ 1371185460, 0 ], [ 1371186060, 0 ], [ 1371186660, 108.0 ], [ 1371187260, 50.0 ], [ 1371187860, 168.0 ], [ 1371188460, 147.0 ], [ 1371189060, 0 ], [ 1371189660, 0 ], [ 1371190260, 0 ], [ 1371190860, 0 ], [ 1371191460, 292.0 ], [ 1371192060, 290.0 ], [ 1371192660, 178.0 ], [ 1371193260, 67.0 ], [ 1371193860, 0 ], [ 1371194460, 0 ], [ 1371195060, 0 ], [ 1371195660, 30.0 ], [ 1371196260, 0 ], [ 1371196860, 0 ], [ 1371197460, 0 ], [ 1371198060, 0 ], [ 1371198660, 0 ], [ 1371199260, 0 ], [ 1371199860, 0 ], [ 1371200460, 0 ], [ 1371201060, 0 ], [ 1371201660, 0 ], [ 1371202260, 212.0 ], [ 1371202860, 594.0 ], [ 1371203460, 150.0 ], [ 1371204060, 111.0 ], [ 1371204660, 61.0 ], [ 1371205260, 48.0 ], [ 1371205860, 112.0 ], [ 1371206460, 35.0 ], [ 1371207060, 0 ], [ 1371207660, 65.0 ], [ 1371208260, 19.0 ], [ 1371208860, 0 ], [ 1371209460, 0 ], [ 1371210060, 0 ], [ 1371210660, 0 ], [ 1371211260, 0 ], [ 1371211860, 0 ], [ 1371212460, 74.0 ], [ 1371213060, 0 ], [ 1371213660, 0 ], [ 1371214260, 0 ], [ 1371214860, 0 ], [ 1371215460, 0 ], [ 1371216060, 48.0 ], [ 1371216660, 49.0 ], [ 1371217260, 104.0 ], [ 1371217860, 0 ], [ 1371218460, 0 ], [ 1371219060, 0 ], [ 1371219660, 0 ], [ 1371220260, 0 ], [ 1371220860, 51.0 ] ]}- 获取Jawbone UP中的个人数据（二）非官方API, Part 4
- 获取Jawbone UP中的个人数据（二）非官方API , part 1
- 获取Jawbone UP中的个人数据（二）非官方API， part 2
- 获取Jawbone UP中的个人数据（二）非官方API, Part 3
- 获取Jawbone UP中的个人数据（二）非官方API, Part 5
- 获取Jawbone UP中的个人数据（二）非官方API, Part 6
- 获取Jawbone UP中的个人数据（二）非官方API, Part 7
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