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

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:

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=600

Params:

'bucket' : bucket # 运动数据汇总时间颗粒度,以秒为单位,最小取值为 60

Return :

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        ],         [            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      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,    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