Flurry 分析 API 中文教程（Flurry Analyt

2019-07-13 本文已影响0人 cafeting

本文记录使用 API 获取 Flurry Analytics 报告的文档。

包含前期准备、API基础、数据详情、请求示例等

初期准备

获取 App Token
header 中必须包含：Authorization: Bearer + App Token
Flurry Analytics API Query Builder 查询器、调试器

示例：

Headers:

Authorization: Bearer xxxxxx

API 基础

API 地址：https://api-metrics.flurry.com/public/v1/data/

API 请求可以组合起来去查询分析数据的元素。 API 中的所有内容都区分大小写。

endPoint/table/timeGrain/dimension1/dimension2;show=all/dimension3{...}?metrics=[comma-separated-metrics]&dateTime=[..]&filters=[...]&topN=[..]&sort=[..]&having=[..]&format=[..]&timeZone=[..]

参数表及示例详见原文。

参数	必要	例子
endpoint	是	v1: https://api-metrics.flurry.com/public/v1/data/
table	是	<a href="#appUsage">appUsage</a>、<a href="#appEvent">appEvent</a>、 <a href="#eventParams">eventParams</a>、<a href="#realtime">realtime</a>
timeGrain	是	见表详情内容
dimension	否	见表详情内容
metrics	是	见表详情内容
dateTime	是	Format for Day, Week: YYYY-MM-DD/YYYY-MM-DD Format for Month: YYYY-MM/YYYY-MM Format for Hour: YYYY-MM-DDTHH/YYYY-MM-DDTHH (HH in 24- hour format) follows ISO 8601
filters	否	组合的一个或多个维度属性过滤器（使用 `AND`）以减少输出以匹配您的条件。 id和name可用于所有维度。一些维度具有在维度部分中调用的附加属性。格式: `dimension1	attribute-operator [ value(s) ], dimension2	attribute-operator [ value(s) ]`<br>运算符:`in, notin, contains, startsWith`<br>例如:`country	name-in [‘United States’,‘Canada’,’Mexico’] ,appVersion	name-in[‘2.3’]`
sort	否	指定一个或多个指标来排序结果。如果未指定顺序，则默认为降序。例如: `sort=sessions	desc,activeDevices	desc`
topN	否	减少结果以匹配此参数指定的数字。如果使用此参数，则还必须使用排序来指示必须计算顶点 n 的度量和顺序例如：`topN=5 & sort=sessions	desc`
having	否	减少结果以匹配指定的指标标准。您可以组合多个指标标准。格式：`metric-operator[value(s)]` 可用运算符：等于（eq），大于（gt），小于（lt），而不是版本例子：`sessions-gt[1000],activeDevices-gt[200]`
format	否	json (默认), csv
timeZone	否	默认的结果是UTC时区。要获取所需时区的结果，请使用此参数。例如: `America/New_York` 或 `America/Los_Angeles`

关于时区：https://en.wikipedia.org/wiki/List_of_tz_database_time_zones

Analytics Metrics 分析指标

以下是可用于报告的指标。

Metric 指标	描述
sessions	用户访问应用程序的次数
activeDevices	访问应用程序的唯一设备
newDevices	安装并启动应用程序的新设备
timeSpent	用户花在应用程序中的时间
averageTimePerDevice	平均每个用户在应用程序中花费的时间
averageTimePerSession	平均用户在应用程序每个会话中花费的时间

Analytics Dimensions 分析范围、维度

以下是可用于报告的维度和维度属性。

Dimensions范围、维度	描述	值
company	Flurry company account	id, name (默认)
app	Flurry app	id, name (默认), company\|id, apiKey, platform\|id, platform\|name
country	每个国家的维度总计	id, name (默认), iso
appVersion	应用程式的版本号，名称，公司编号，应用程式编号，已删除和筛选。删除和过滤是布尔值（0或1），并根据开发人员对Flurry开发人员门户的操作反映应用程序版本的当前状态	id, name (默认), company\|id, app\|id, deleted, filtered
language	Language id and name	id, name (默认)
region	地区：Region id and name	id, name (default)
category	分类： App category id and name	id, name (default)
event	仅适用于appEvent表; 事件ID，名称，应用ID，公司ID，删除和过滤。删除和过滤是布尔值（0或1），并根据开发人员对Flurry开发人员门户的操作反映应用程序事件的当前状态。	id, name (default) , company\|id, app\|id, deleted, filtered

在运行度量标准查询之前，您需要知道可能的维度值。例如：您公司帐户上所有应用的列表名称和api密钥：

https://api-metrics.flurry.com/public/v1/data/appUsage/day/company/app;show=name,apiKey?metrics=...

通常，要查看为给定维度返回的默认名称以外的值，请添加：

;show=all
or
;show=id  (any other value listed in the value column above for the given dimension

添加维度名称之后：

https://api-metrics.flurry.com/public/v1/data/appUsage/day/company/country;show=all/category?metrics=sessions,activeDevices,newDevices,timeSpent&dateTime=2017-05-01/2017-05-02

https://api-metrics.flurry.com/public/v1/data/appUsage/day/company/country;show=iso/category?metrics=sessions,activeDevices,newDevices,timeSpent&dateTime=2017-05-01/2017-05-02

App Usage Data 应用使用的数据

Table: <a id="appUsage">appUsage</a>

Metrics 指标	Dimensions 范围	Time Grain
sessions	company	day
activeDevices	app	week
newDevices	appVersion	month
timeSpent	country	all
averageTimePerDevice	language
averageTimePerSession	region
medianTimePerSession	category

示例：关键应用指标查询

对于所有应用程序，每日会话，每日活动设备，2 天的新设备：请注意，由于过滤器中没有应用信息，结果将包括您公司的所有应用程序。

Request 请求：

https://api-metrics.flurry.com/public/v1/data/appUsage/day/app?metrics=sessions,activeDevices,newDevices&dateTime=2016-07-01/2016-07-03

Response 响应：

{
        "rows": [{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 372,
                "activeDevices": 123,
                "newDevices": 32},
        {
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "bar",
                "sessions": 1120,
                "activeDevices": 487,
                "newDevices": 34},
        {
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 421,
                "activeDevices": 140,
                "newDevices": 12},
        {
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "bar",
                "sessions": 1164,
                "activeDevices": 453,
                "newDevices": 51}]
}

对于特定应用程序，每月会话，有效设备和新设备（2个月）：

Request using Flurry API key:

https://api-metrics.flurry.com/public/v1/data/appUsage/day?metrics=sessions,activeDevices,newDevices&dateTime=2016-06-01/2016-08-01&filters=app|apiKey-in[3WD7Q8329867K7MY6RNS]

Request using App name:

https://api-metrics.flurry.com/public/v1/data/appUsage/day?metrics=sessions,activeDevices,newDevices&dateTime=2016-06-01/2016-08-01&filters=app|name-in[appname]

Response:

{
        "rows": [{
                "dateTime": "2016-06-01 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 12744,
                "activeDevices": 6373,
                "newDevices": 6373
        },{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 13805,
                "activeDevices": 6882,
                "newDevices": 6882
        }]
}

App Events Data

Table: <a id="appEvent">appEvent</a>

Metrics 指标	Dimensions 范围	Time Grain
activeDevices	company	day
newDevices	app	week
eventDuration	appVersion	month
averageTimePerDevice	country	all
averageTimePerSession	language
medianTimePerSession	region
occurrences	category
	event

示例：关键应用事件指标查询

对于特定应用程序事件，应用程序版本的事件发生次数（2天）：

Request:

https://api-metrics.flurry.com/public/v1/data/appEvent/day/app/appVersion/event?metrics=occurrences&dateTime=2016-07-01/2016-07-03&filters=app|name-in[foo],event|name-in[login,register]

Response:

{
        "rows": [{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "occurrences": 293
        },{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "register",
                "occurrences": 57
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "occurrences": 146
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "register",
                "occurrences": 31
        }]
}

对于特定的应用程序事件，按活动设备排序的前5个国家的有效设备和新设备（2天）：

Request:

https://api-metrics.flurry.com/public/v1/data/appEvent/day/app/country?metrics=activeDevices,newDevices&dateTime=2016-07-01/2016-07-03&filters=app|name-in[foo],event|name-in[login]&topN=5&sort=activeDevices|desc

Response:

{
        "rows": [{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "United States",
                "occurrences": 515
        },{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "United Kingdom",
                "occurrences": 210
        },{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "Canada",
                "occurrences": 165
        },{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "Germany",
                "occurrences": 87
        },{
                "dateTime": "2016-07-01 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "France",
                "occurrences": 46
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "United States",
                "occurrences": 435
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "United Kingdom",
                "occurrences": 190
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "Canada",
                "occurrences": 127
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "Germany",
                "occurrences": 76
        },{
                "dateTime": "2016-07-02 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "country|name": "France",
                "occurrences": 39
        }]
}

App Event Parameter Data

Table: <a id="eventParams">eventParams</a>

Metrics	Dimensions	Time Grain
count	company	day
	app	week
	appVersion	month
	country	all
	language
	region
	category
	event
	paramName
	paramValue

示例：app 事件参数指标查询

对于特定的应用程序事件，提供1天的事件参数值细目：

Request:

https://api-metrics.flurry.com/public/v1/data/eventParams/day/app;show=all/event/paramName/paramValue?metrics=count&filters=app|name-in[foo],event|name-in[level_complete]&dateTime=2016-11-07/2016-11-08

Response:

{
        "rows": [{
                "dateTime": "2016-11-07 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "level_complete",
                "paramName|name": "level",
                "paramValue|name": "1",
                "count": 32
        },{
                "dateTime": "2016-11-07 00:00:00.000-07:00",
                "app|name": "foo",
                "event|name": "login",
                "paramName|name": "level",
                "paramValue|name": "2",
                "count": 15
        }]
}

Real Time App Data 实时数据

Table: <a id="realtime">realtime</a> (最近 48 小时)

Metrics	Dimensions	Time Grain
sessions	company	hour
activeDevices	app	day
	appVersion	all
	country

示例：实时指标查询，仅限48小时

对于特定应用程序，会话和活动设备在特定时间内：

Request:

https://api-metrics.flurry.com/public/v1/data/realtime/hour?metrics=sessions,activeDevices&dateTime=2016-08-27T12/2016-08-27T13&filters=app|name-in[foo]

Response:

{
        "rows": [{
                "dateTime": "2016-08-31 12:00:00.000-07:00",
                "app|name": "foo",
                "sessions": 145,
                "activeDevices": 90
        }]
}

对于特定应用程序，在特定24小时内（不是日期边界），区分应用程序版本的会话总数和活动设备：

Request:

https://api-metrics.flurry.com/public/v1/data/realtime/all/app/appVersion?metrics=sessions,activeDevices&dateTime=2016-08-31T12/2016-09-01T13&filters=app|name-in[appname]

Response:

{
        "rows": [{
                "dateTime": "2016-08-31 12:00:00.000-07:00",
                "app|name": "foo",
                "appVersion|name": "1.0",
                "sessions": 231,
                "activeDevices": 87
        },{
                "dateTime": "2016-08-31 12:00:00.000-07:00",
                "app|name": "foo",
                "appVersion|name": "1.1",
                "Sessions": 345,
                "activeDevices": 167
        }]
}

Error

详见原文。

官方文档：https://developer.yahoo.com/flurry/docs/api/code/analyticsapi/

如果有什么建议或者问题可以随时联系我，共同探讨学习：

Github： likfe

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微博：cafeting

Flurry 分析 API 中文教程（Flurry Analyt

初期准备

API 基础

Analytics Metrics 分析指标

Analytics Dimensions 分析范围、维度

App Usage Data 应用使用的数据

App Events Data

App Event Parameter Data

Real Time App Data 实时数据

Error

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