# ユーザープロパティ分析API
# User Feature Analysis API
As for the call method, please refer to the call method description in Open API
You can read the Composition in the user manual to understand the usage scenario.
# User feature analysis query
Interface URL
/open/user-prop-analyze?token=xxx
Request method
POST
Content-Type
application/json
Request Query Parameter
Parameter name | Sample value | Parameter type | Is required | Parameter description |
---|---|---|---|---|
token | xxx | String | Yes | token |
# Request Body Parameter
{
"eventView": {
"userCrowds": [
{
"crowdName": "female",
"filts": [
{
"columnDesc": "gender",
"columnName": "gender",
"comparator": "equal",
"filterType": "SIMPLE",
"ftv": [
"女"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"relation": "and"
},
{
"crowdName": "male",
"filts": [
{
"columnDesc": "gender",
"columnName": "gender",
"comparator": "equal",
"filterType": "SIMPLE",
"ftv": [
"male"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"relation": "and"
},
{
"crowdName": "gender unknown",
"filts": [
{
"columnDesc": "gender",
"columnName": "gender",
"comparator": "equal",
"filterType": "SIMPLE",
"ftv": [
"unknown"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"relation": "and"
}]
},
"events": [
{
"analysis": "SUM",
"analysisDesc": "sum",
"eventNameDisplay": "account balance",
"filts": [
{
"columnDesc": "balance",
"columnName": "accountbalance",
"comparator": "greater",
"filterType": "SIMPLE",
"ftv": [
"1"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"quota": "accountbalance",
"relation": "and",
"tableType": "user"
}],
"projectId": 377,
"limit": 10,
"timeoutSeconds": 10,
"useCache": true
}
# Request Parameter Description
$$Parameter name | Sample value | Parameter type | Is required | Parameter description |
---|---|---|---|---|
eventView | - | Object | Yes | Metrics common attribute part |
eventView.userCrowds | - | Object | No | Crowd |
eventView.userCrowds.crowdName | Female | String | Yes | Crowd name |
eventView.userCrowds.filts | - | List | Yes | Filter objects |
eventView.userCrowds.filts.columnDesc | Gender | String | No | Field display name |
eventView.userCrowds.filts.columnName | gender | String | Yes | Field name |
eventView.userCrowds.filts.comparator | equal | String | Yes | Reference: filtering expression of model query API |
eventView.userCrowds.filts.filterType | SIMPLE | String | No | Filter mode, SIMPLE: simple, COMPOUND: composite |
eventView.userCrowds.filts.ftv | ["Female"] | List | No | Property comparative with bound literial |
eventView.userCrowds.filts.specifiedClusterDate | 2022-01-27 | String | No | Historical tag version of specified date |
eventView.userCrowds.filts.tableType | user | String | Yes | Table type enumeration |
eventView.userCrowds.filts.timeUnit | String | No | Filter time unit | |
eventView.userCrowds.relation | and | String | Yes | Logical relationship, and: logical and, or: logical or |
events | - | List | Yes | Event metric list |
events.analysis | SUM | String | Yes | Analysis aspect for user feature aggregation for Aggregate type enumeration for user feature analysis |
events.analysisDesc | Sum | String | No | Analysis aspect description |
events.eventNameDisplay | Total balance | String | No | Self-defined metric display name |
events.filts | - | List | No | List of conditions |
events.filts.columnDesc | Balance | String | No | Field display name |
events.filts.columnName | accountbalance | String | Yes | Field name |
events.filts.comparator | greater | String | Yes | Reference: filtering expression of model query API |
events.filts.filterType | SIMPLE | String | No | Filter mode, SIMPLE: simple, COMPOUND: composite |
events.filts.ftv | ["1"] | List | No | Property comparative with bound literial |
events.filts.specifiedClusterDate | 2022-01-27 | String | No | Historical tag version of specified date |
events.filts.tableType | user | String | Yes | Table type enumeration |
events.filts.timeUnit | String | No | Filter time unit | |
events.quota | accountbalance | String | No | Metric property (combined with analysis, indicating the property involved and the analysis perspective) |
events.relation | and | String | No | Logical relationship, and: logical and, or: logical or |
events.tableType | user | String | Yes | Table type enumeration |
projectId | 377 | Integer | Yes | Project enumeric identity |
limit | 10 | Integer | No | Maximum number of groups per analysis object, optional parameters, default is 1000, maximum is 10000 |
timeoutSeconds | 10 | Integer | No | Request timed out parameter, timeout cancels query task |
useCache | true | Boolean | No | Use cache, optional parameter, default is true |
# Successful Response Example
{
"data": {
"data_list": [
{
"group_cols": [
"female"
],
"values": 1140523491
},
{
"group_cols": [
"male"
],
"values": 1141720850
},
{
"group_cols": [
"gender unknown"
],
"values": 227565607
}
],
"group_cols_sorted": [
[
"female",
"male",
"gender unknown"
]
],
"group_num": 0,
"result_generate_time": "2022-01-27 15:01:51",
"unit": ""
},
"return_code": 0,
"return_message": "success"
}
# Response Parameter Description
$$Parameter name | Sample value | Parameter type | Parameter description |
---|---|---|---|
return_code | 0 | Integer | Return code |
return_message | success | String | Return message |
data | - | Object | Return result |
data.data_list | - | List | Data List |
data.data_list.group_cols | ["Female"] | List | Group or crowd list |
data.data_list.values | 1140523491 | Integer | Number of users |
data.group_cols_sorted | ["Female"] | List | Full group or crowd order list |
data.group_num | 0 | Integer | Number of groupings |
data.result_generate_time | 2022-01-27 15:01:51 | String | Results generation time |
data.unit | String | Numerical attribute unit |
Error Response Example
{
"return_code": -1008,
"return_message": "The parameter (token) is empty"
}
Parameter name | Sample value | Parameter type | Parameter description |
---|---|---|---|
return_code | -1008 | Integer | Return code |
return_message | The parameter (token) is empty | String | Return message |
# User feature Analysis Full Data Download
Interface URL
/open/streaming-download/user-prop-analyze?token=xxx
Request method
POST
Content-Type
application/json
Request Query Parameter
Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
---|---|---|---|---|
token | xxx | String | Yes | Query key |
# Request Body parameter
{
"eventView": {
"userCrowds": [
{
"crowdName": "female",
"filts": [
{
"columnDesc": "gender",
"columnName": "gender",
"comparator": "equal",
"filterType": "SIMPLE",
"ftv": [
"女"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"relation": "and"
},
{
"crowdName": "male",
"filts": [
{
"columnDesc": "gender",
"columnName": "gender",
"comparator": "equal",
"filterType": "SIMPLE",
"ftv": [
"male"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"relation": "and"
},
{
"crowdName": "gender unknown",
"filts": [
{
"columnDesc": "gender",
"columnName": "gender",
"comparator": "equal",
"filterType": "SIMPLE",
"ftv": [
"unknown"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"relation": "and"
}]
},
"events": [
{
"analysis": "SUM",
"analysisDesc": "sum",
"eventNameDisplay": "account balance",
"filts": [
{
"columnDesc": "balance",
"columnName": "accountbalance",
"comparator": "greater",
"filterType": "SIMPLE",
"ftv": [
"1"],
"specifiedClusterDate": "2022-01-27",
"tableType": "user",
"timeUnit": ""
}],
"quota": "accountbalance",
"relation": "and",
"tableType": "user"
}],
"projectId": 390
}
# Request Parameter Description
$$ Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
---|---|---|---|---|
eventView | - | Object | Yes | Same parameters as User feature Analysis Query interface |
events | - | List | Yes | Same parameters as User feature Analysis Query interface |
projectId | 377 | Integer | Yes | Project numeric identity |
# Response
Same with the full data download of the User feature analysis of the TE system
# User Feature Analysis User List
Interface URL
/open/user-prop-user-list?token=xxx
Request method
POST
Content-Type
application/json
Request Query Parameter
Parameter name | Sample value | Parameter type | Is required | Parameter description |
---|---|---|---|---|
token | xxx | String | Yes | token |
projectId | 0 | Integer | Yes | Project ID |
# Request Body Parameter
{
"projectId": 0,
"events": [{
"analysis": "AVG",
"filts": [
{
"columnName": "latest_login_time",
"comparator": "relativeCurrentBetween",
"ftv": [
"7",
"1"
],
"tableType": "user"
}
],
"quota": "diamond_num",
"relation": "and",
"tableType": "user"
}],
"eventView": {
"groupBy": [
{
"columnName": "user_level",
"tableType": "user"
},
{
"columnName": "channel",
"tableType": "user"
}
]
},
"sliceGroupVal": [
"31",
"app store"
],
"timeoutSeconds": 10
}
# Request Parameter Description
$$Parameter name | Sample value | Parameter type | Is required | Parameter description |
---|---|---|---|---|
projectId | 0 | Integer | Yes | Project numeric identity |
events | - | List | Yes | Same parameters as User feature Analysis Query interface |
eventView | - | Object | Yes | Same parameters as User feature Analysis Query interface |
sliceGroupVal | ["31","app store"] | List | No | Go to detail by which group |
timeoutSeconds | 10 | Integer | No | Request timed out parameter, timeout cancels query task |
# Successful Response Example
{
"data": {
"datalist": [
{
"#account_id": "b6909071",
"#distinct_id": "b12831131",
"user_level": 31,
"register_time": "2019-09-23 09:33:31",
"diamond_num": 1250,
"first_recharge_time": "2019-11-18 08:50:33",
"latest_login_time": "2019-11-26 18:15:51",
"channel": "app store",
"#user_id": 2961031
},
{
"#account_id": "a6013000",
"#distinct_id": "a11167000",
"user_level": 31,
"register_time": "2019-09-02 19:15:08",
"diamond_num": 72,
"first_recharge_time": "2019-09-02 19:18:36",
"latest_login_time": "2019-11-24 10:02:38",
"channel": "app store",
"#user_id": 2577000
},
{
"#account_id": "j2614535",
"#distinct_id": "j4855535",
"user_level": 31,
"register_time": "2019-08-24 20:40:19",
"diamond_num": 820,
"latest_login_time": "2019-11-21 14:16:42",
"channel": "app store",
"#user_id": 1120535
}
],
"columMeta": {
"#account_id": "account ID",
"#distinct_id": "visitor ID",
"user_level": "user level",
"register_time": "register time",
"diamond_num": "diamond number",
"first_recharge_time": "first recharge time",
"latest_login_time": "lastest login time",
"channel": "channel"
}
},
"return_code": 0,
"return_message": "success"
}
# Response Parameter Description
$$Parameter name | Sample value | Parameter type | Parameter description |
---|---|---|---|
return_code | 0 | Integer | Return code |
return_message | success | String | Return message |
data | - | Object | Return result |
data.datalist | - | List | User Information |
data.columMeta | - | Map | Field meaning mapping |
Error Response Example
{
"return_code": -1008,
"return_message": "The parameter (token) is empty"
}
Parameter name | Sample value | Parameter type | Parameter description |
---|---|---|---|
return_code | -1008 | Integer | Return code |
return_message | The parameter (token) is empty | String | Return message |
# Download of User feature Analysis User List
Interface URL
/open/streaming-download/user-prop-user-list?token=xxx
Request method
POST
Content-Type
application/json
Request Query parameters
Parameter name | Sample value | Parameter type | Mandatory or not | Parameter description |
---|---|---|---|---|
token | xxx | String | Yes | Query key |
# Request Body Parameters
{
"events": [{
"analysis": "AVG",
"filts": [
{
"columnName": "latest_login_time",
"comparator": "relativeCurrentBetween",
"ftv": [
"7",
"1"
],
"tableType": "user"
}
],
"quota": "diamond_num",
"relation": "and",
"tableType": "user"
}],
"eventView": {
"groupBy": [
{
"columnName": "user_level",
"tableType": "user"
},
{
"columnName": "channel",
"tableType": "user"
}
]
},
"sliceGroupVal": [
"31",
"app store"
],
"projectId": 319,
"eventIndex": 0,
"selectedColumns": ["#account_id", "#distinct_id", "accountid"]
}
# Request Parameter Description
$$参数名 | 示例值 | 参数类型 | 是否必填 | 参数描述 |
---|---|---|---|---|
projectId | 0 | Integer | Yes | Project enumeric identity |
events | - | List | Yes | Same parameters as User feature Analysis Query interface |
eventView | - | Object | Yes | Same parameters as User feature Analysis Query interface |
sliceGroupVal | ["31","app store"] | List | No | Go to detail by which group |
eventIndex | 0 | Integer | Yes | Index of crowd, starting from 0 |
selectedColumns | ["#account_id"] | array | Yes | The columns to be downloaded |
# Response
Same with the download of the user feature analysis user list of the TE system.
# User Event List Query
Interface URL
/open/user-event-list?token=xxx
Request method
POST
Content-Type
application/json
Request Query Parameter
Parameter name | Sample value | Parameter type | Is required | Parameter description |
---|---|---|---|---|
token | xxx | String | Yes | token |
# Request Body Parameter
{
"eventNames": [
"payment",
"level_up",
"activity_attend",
"draw_card",
"register",
"logout",
"login",
"gold_get",
"gold_consume"
],
"pagerHeader": {
"pageNum": 1,
"pageSize": 2
},
"projectId": 377,
"startDateTime": ["2021-11-04 00:00:00"],
"dateFormat": "week",
"firstDayOfWeek": 1,
"userId": 795687603434164226,
"timeoutSeconds": 10,
"useCache": true
}
# Request Parameter Description
$$Parameter name | Sample value | Parameter type | Is required | Parameter description |
---|---|---|---|---|
eventNames | ["payment"] | List | Yes | List of events included |
pagerHeader | - | Object | Yes | Generic paging request header |
pagerHeader.pageNum | 1 | Long | No | Start page |
pagerHeader.pageSize | 2 | Long | No | Number per page |
projectId | 377 | Integer | Yes | Project ID |
startDateTime | ["2021-11-04 00:00:00"] | List | No | Start time list yyyy-MM-dd HH: mm: ss |
dateFormat | week | String | Yes |
Unit of the time period taken for analysis
|
firstDayOfWeek | 1 | Integer | No | First day of the week |
userId | 795687603434164226 | Long | Yes | User ID of the analysis target |
timeoutSeconds | 10 | Integer | No | Request timed out parameter, timeout cancels query task |
useCache | true | Boolean | No | Use cache, optional parameter, default is true |
# Successful Response Example
{
"data": {
"columnDescMeta": {
"network": "network type",
"ip": "IP",
"browser": "browser",
"browser_version": "browser version",
"manufacturer": "manufacturer",
"#lib": "SDK type",
"channel": "source channel",
"platform": "platform",
"serverid": "server ID",
"device_type": "device type",
"#lib_version": "SDK version",
"os_version": "operation version",
"app_version": "app version",
"os": "operation system",
"lib": "library",
"level": "user level",
"model": "model",
"screen_height": "screen height",
"carrier_name": "carrier name",
"vip_level": "VIP level",
"brand": "brand",
"currency_type": "currency type",
"pay_amount": "pay amount",
"diamond_get_amount": "diamond amount",
"payment_name": "payment name",
"is_first_pay": "first payment or not",
"#country_code": "country code",
"#ip": "service IP",
"#city": "city",
"#province": "province",
"#country": "country",
"screen_width": "screen width",
"device_id": "device ID",
"#zone_offset": "zone offset"
},
"eventNameDescMeta": {
"anyEvent": "any event",
"activity_attend": "attend activity",
"draw_card": "draw cards",
"gold_consume": "gold consume",
"gold_get": "get gold",
"level_up": "level up",
"login": "login",
"logout": "logout",
"payment": "payment",
"register": "register"
},
"resultGenerateTime": "2022-01-27 15:46:08",
"userEventSeqList": [
{
"event_name": "login",
"properties": {
"#event_time": "2021-11-04 15:59:39.179",
"network": "WIFI",
"ip": "27.17.30.245",
"browser": "Safari",
"browser_version": "Safari 11.0.3",
"manufacturer": "apple",
"#lib": "easydata",
"channel": "baidu",
"platform": "WeGame platform",
"serverid": "10",
"device_type": "desktop",
"#lib_version": "1.0",
"os_version": "iOS 11.4",
"app_version": "V1.0",
"os": "iOS",
"lib": "JS",
"level": "93",
"model": "iPhone X",
"screen_height": "681",
"carrier_name": "China telecom",
"vip_level": "1",
"brand": "apple",
"#country_code": "",
"#ip": "localhost",
"#city": "unknown",
"#province": "unknown",
"#country": "unknown",
"screen_width": "360",
"device_id": "47BjM",
"#zone_offset": "-5"
},
"time": "2021-11-04 15:59:39.179"
},
{
"event_name": "payment",
"properties": {
"#event_time": "2021-11-04 15:59:46.179",
"network": "WIFI",
"ip": "27.17.30.245",
"browser": "Safari",
"browser_version": "Safari 11.0.3",
"manufacturer": "apple",
"#lib": "easydata",
"channel": "baidu",
"platform": "WeGame platform",
"serverid": "10",
"device_type": "desktop",
"#lib_version": "1.0",
"os_version": "iOS 11.4",
"app_version": "V1.0",
"os": "iOS",
"lib": "JS",
"level": "93",
"model": "iPhone X",
"screen_height": "681",
"carrier_name": "China telecom",
"vip_level": "1",
"brand": "apple",
"currency_type": "coupon",
"pay_amount": "536",
"diamond_get_amount": "7485",
"payment_name": "honor package",
"is_first_pay": false,
"#country_code": "",
"#ip": "localhost",
"#city": "unknown",
"#province": "unknown",
"#country": "unknown",
"screen_width": "360",
"device_id": "47BjM",
"#zone_offset": "-5"
},
"time": "2021-11-04 15:59:46.179"
}
]
},
"return_code": 0,
"return_message": "success"
}
# Response Parameter Description
$$Parameter name | Sample value | Parameter type | Parameter description |
---|---|---|---|
return_code | 0 | Integer | Return code |
return_message | success | String | Return message |
data | - | Object | Return result |
data.columnDescMeta | - | Map | Attribute name mapping |
data.eventNameDescMeta | - | Map | Event name |
data.resultGenerateTime | 2022-01-27 15:46:08 | String | Results generation time |
data.userEventSeqList | - | List | User sequence list |
data.userEventSeqList.event_name | login | String | Event name |
data.userEventSeqList.properties | - | Map | Event property details |
data.userEventSeqList.time | 2021-11-04 15:59:46.179 | String | Time |
Error Response Example
{
"return_code": -1008,
"return_message": "The parameter (token) is empty"
}
Parameter name | Sample value | Parameter type | Parameter description |
---|---|---|---|
return_code | -1008 | Integer | Return code |
return_message | The parameter (token) is empty | String | Return information |
# Generic enumeration for user feature analysis
# Aggregate type enumeration for user feature analysis
Value | Description | Whether properties are required |
---|---|---|
TRIG_USER_NUM | Number of users triggered | No |
SUM | Sum of values | Yes |
AVG | Numerical average | Yes |
MAX | Maximum value | Yes |
MIN | Numerical minimum | Yes |
DISTINCT | Deduplicate number | Yes |
TRUE | True number | Yes |
FALSE | False number | Yes |
IS_NOT_EMPTY | Not an empty number | Yes |
IS_EMPTY | Null number | Yes |
ARRAY_DISTINCT | List overall deduplicate number | Yes |
ARRAY_SET_DISTINCT | Element collection deduplicate number | Yes |
ARRAY_ITEM_DISTINCT | List element deduplicate number | Yes |
MEDIAN | Median | Yes |
PERCENTILE | Percepentiles | Yes |