获取Jawbone UP中的个人数据（二）非官方API, Part 5

来源：互联网发布：百度网站排名优化编辑：程序博客网时间：2024/05/17 01:04

5. 锻炼情况细节——Workouts

锻炼使用户标注的某段时间的运动。通过“记录锻炼情况”菜单完成。

Meals

除了前面介绍的 user/%userXid%/social 等用户行为概述 API 之外，与锻炼相关的 API 还有以下几个：

user/%userXid%/workoutsworkouts/%evtXid%workouts/%evtXid%/snapshot

从 user/%userXid%/social 结果中的 "data"."feed"."xid"; 从 user/%userXid%/workouts 结果中的 "data"."items"."xid" 获得 %evtXid% ，用于调用 workouts/%evtXid% 和 workouts/%evtXid%/snapshot 。

并非所有的 workouts/%evtXid%/snapshot 都会返回详细的数据，一些锻炼方式，如：步行、跑步等，使用 snapshot 能够返回细节运动数据；而另一些锻炼方式，如：瑜伽，则没有细节运动数据。

Meals

user/%userXid%/workouts

这个 API 能够返回个人的锻炼概括数据列表。在Jawbone UP 的手机应用界面中并没有对应的界面输出。

Request：

GEThttps://jawbone.com/nudge/api/users/@me/workouts?start_time=1370707200&limit=100https://jawbone.com/nudge/api/users/RGaCBFg9CsDYVvm2kchbcw/workouts?start_time=1370707200&limit=100

Params：

'start_time' : startTime, #start_time为 long 型时间，即从1970年以来的秒数，可以不填'end_time' : endTime,     #end_time为 long 型时间，即从1970年以来的秒数，可以不填'limit' : limit           #最多返回结果条数限制

Return :

{    "meta": {        "code": 200,         "message": "OK",         "user_xid": "RGaCBFg9CsDYVvm2kchbcw",         "time": 1372472625    },     "data": {        "items": [            {                "user": {                    "xid": "RGaCBFg9CsDYVvm2kchbcw",                     "image": "user/image/i/51b4916b03eb185d1c1948a5_RGaCBFg9CsDYVvm2kchbcw_137078820345_2781804_photo.jpeg",                     "type": "user"                },                 "reaction": null,                 "time_completed": 1370730615,                 "xid": "EJpCkyAtwoPa1a-leTNHQg",                 "band_ids": [],                 "title": "\u745c\u4f3d",                 "snapshot_image": "",                 "route": "",                 "networks": [],                 "time_created": 1370728815,                 "sub_type": 6,                 "date": 20130609,                 "app_generated": false,                 "time_updated": 1370732478,                 "time_removed": 0,                 "image": "",                 "is_manual": true,                 "shared": true,                 "type": "workout",                 "is_complete": true,                 "details": {                    "tz": "Asia/Shanghai",                     "goal": 0,                     "calories": 89.4861169007,                     "km": 0.0,                     "bmr": 37.8849980137,                     "intensity": 1,                     "bg_calories": 0,                     "meters": 0,                     "time": 1800,                     "bg_active_time": 0,                     "steps": 0,                     "bmr_calories": 27.4861169007                }            },             {                "user": {                    "xid": "RGaCBFg9CsDYVvm2kchbcw",                     "image": "user/image/i/51b4916b03eb185d1c1948a5_RGaCBFg9CsDYVvm2kchbcw_137078820345_2781804_photo.jpeg",                     "type": "user"                },                 "reaction": null,                 "time_completed": 1371016848,                 "xid": "EJpCkyAtwoPXN30hjKufWg",                 "band_ids": [],                 "title": "\u6b65\u884c",                 "snapshot_image": "/nudge/image/e/1371044854/EJpCkyAtwoPXN30hjKufWg.png",                 "route": "",                 "networks": [],                 "time_created": 1371006048,                 "sub_type": 1,                 "date": 20130612,                 "app_generated": false,                 "time_updated": 1371044854,                 "time_removed": 0,                 "image": "",                 "is_manual": true,                 "shared": true,                 "type": "workout",                 "is_complete": true,                 "details": {                    "tz": "Asia/Shanghai",                     "goal": 0,                     "calories": 802.075100205,                     "km": 2.249,                     "bmr": 164.075100205,                     "intensity": 1,                     "bg_calories": 127.953000784,                     "meters": 2249,                     "time": 10800,                     "bg_active_time": 1871,                     "steps": 3372,                     "bmr_calories": 164.075100205                }            }        ],         "size": 2    }}

workouts/%evtXid%

从 user/%userXid%/social 结果中的 "data"."feed"."xid"; 从 user/%userXid%/workouts 结果中的"data"."items"."xid" 获得 %evtXid% ，用于调用 workouts/%evtXid% 。

Request：

GEThttps://jawbone.com/nudge/api/workouts/EJpCkyAtwoPa1a-leTNHQg

Params：

无

Return :

{    "meta": {        "code": 200,         "message": "OK",         "user_xid": "RGaCBFg9CsDYVvm2kchbcw",         "time": 1372431987    },     "data": {        "image": "",         "time_removed": 0,         "emotions": {            "items": [],             "size": 0        },         "snapshot_image": "/nudge/image/e/1371044854/EJpCkyAtwoPXN30hjKufWg.png",         "networks": [],         "time_completed": 1371016848,         "xid": "EJpCkyAtwoPXN30hjKufWg",         "title": "\u6b65\u884c",         "comments": {            "items": [],             "size": 0        },         "details": {            "tz": "Asia/Shanghai",             "goal": 0,             "calories": 802.075100205,             "km": 2.249,             "bmr": 164.075100205,             "intensity": 1,             "bg_calories": 127.953000784,             "meters": 2249,             "time": 10800,             "bg_active_time": 1871,             "steps": 3372,             "bmr_calories": 164.075100205        },         "shared": true,         "type": "workout",         "band_ids": [],         "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"        },         "date": 20130612,         "sub_type": 1,         "reaction": null,         "time_updated": 1371044854,         "route": "",         "app_generated": false,         "time_created": 1371006048,         "is_manual": true,         "is_complete": true,         "goals": {            "steps": 10000,             "workout_time": null        }    }}

workouts/%evtXid%/snapshot

从 user/%userXid%/social 结果中的 "data"."feed"."xid"; 从 user/%userXid%/workouts 结果中的"data"."items"."xid" 获得 %evtXid% ，用于调用 workouts/%evtXid%/snapshot 。

Request：

GEThttps://jawbone.com/nudge/api/workouts/EJpCkyAtwoPa1a-leTNHQg/snapshot  #瑜伽，无详情https://jawbone.com/nudge/api/workouts/EJpCkyAtwoPXN30hjKufWg/snapshot?bucket=600  #步行，有详情

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 :

无详情的“瑜伽”结果示例如下：

{    "meta": {        "code": 200,         "message": "OK",         "user_xid": "RGaCBFg9CsDYVvm2kchbcw",         "time": 1372473235    },     "data": []}

有详情的“步行”结果示例如下：

{    "meta": {        "code": 200,         "message": "OK",         "user_xid": "RGaCBFg9CsDYVvm2kchbcw",         "time": 1372473234    },     "data": [        [            1371006588,             0        ],         [            1371007188,             262.6        ],         [            1371007788,             356.4        ],         [            1371008388,             0        ],         [            1371008988,             537.0        ],         [            1371009588,             712.2        ],         [            1371010188,             320.8        ],         [            1371010788,             229.0        ],         [            1371011388,             0        ],         [            1371011988,             164.0        ],         [            1371012588,             115.4        ],         [            1371013188,             102.6        ],         [            1371013788,             38.2        ],         [            1371014388,             39.8        ],         [            1371014988,             292.0        ],         [            1371015588,             54.0        ],         [            1371016188,             0        ],         [            1371016788,             106.0        ],         [            1371017388,             42.0        ]    ]}