本文档提供火山引擎增长分析中分群相关接口的说明。
分群相关接口能力包括:
注:当前导出分群的上限为300W。
Context-path: /datafinder
Path-parameters:
参数 | 类型 | 是否必选 | 示例值 | 描述 |
---|---|---|---|---|
app_id | int | 是 | 123456 | 应用id |
Response:
{ "code": 200, "message": "success" "data": xxx }
下文为您提供规则分群使用的DSL结构详细说明。
在分群配置页面中配置好规则,打开浏览器控制台;接着点击“预估人数”,查看overview接口的dsl_content字段。(注意:使用dsl_content的时候,最好把show_option节点整体删除)
分群DSL 整体结构跟查询API使用的整体结构是一致的,整体结构请参考: “查询API”->“DSL结构”说明。
分群的区别是在content的queries字段,扩展了相应的含义。整体结构:
{ "version": 3, # DSL的版本,本文档中全部为3 "app_ids": [], # 目标app "use_app_cloud_id": true, # app_ids参数中是否为app_cloud_id。请设置为true,false仅供内部使用 "periods": [], # 时间,分群这里固定为[] "content": {}, # 具体的查询内容字段 "option": {}, # json格式数据,请求相关的选项参数,分群不需要该字段 "show_option": {} # json格式数据,在结果中原样返回,分群不需要该字段 }
具体规则定义在 cotent字段中:
{ "content": { "query_type": "cohort_v3_idlist", # 固定使用这个类型 "queries":[ # 分群规则 [{query1},{query2}], [{query3},{query4}] ] "option":{}, # 分群参数 "profile_filters":[], # 固定为[] "profile_groups":[] # 固定为[] } }
{ "cohort": { "outer_logic": "and" } }
字段 | 取值与含义 | 是否必须 | 例子 |
---|---|---|---|
outer_logic | 最外层的逻辑关系:and/or | 否 | 默认and |
[ [{query1},{query2}], [{query3},{query4}] ... ]
queries 是一个二维数组,定义了每一个规则的关系。
当 outer_logic
为and
时:内层数组的关系为 or
,外层关系为 and
。比如:
"queries":[ # 分群规则 [{query1},{query2}], [{query3},{query4}] ] "option":{ "cohort": { "outer_logic": "and" } },
那么整体计算关系为:
[query1 or query2] and [query3 or query4]
当 outer_logic
为or 时:内层数组的关系为 and
,外层关系为 or
。比如:
"queries":[ # 分群规则 [{query1},{query2}], [{query3},{query4}] ] "option":{ "cohort": { "outer_logic": "or" } },
那么整体计算关系为:
[query1 and query2] or [query3 and query4]
整体结构,参考“查询API”->“DSL结构”->“content字段/queries”。
{ "event_name": "any_event", "event_id":1, "event_type": "origin", "show_name": "总次数", "groups_v2": [], "filters": [], "show_label": "A", "event_indicator": "events", "measure_info": {}, "condition":{}, "logic": true, "sequence_first":true, "next_query_lable":"B", }
新增字段含义说明:
字段 | 取值与含义 | 是否必须 | 例子 |
---|---|---|---|
condition | 分群的条件,结构同 DSL “condition” 结构 | 是 | |
logic | true表示用户做过、用户是;false 表示用户没做过、用户不是 | 是 | 注意:当logic为true的时候,并且用户做过,比如选择用户做过事件次数 大于 {n},n的值一定是一个大于0的值。如果要选择 “用户做过事件A次数=0”,请使用“用户没做过事件A 的条件” |
sequence_first | true表示是“依次做过”,并且是依次做过的第一个事件 | 否 | “依次做过”下是必须的 |
next_query_label | “依次做过”的下一个事件的show_label值 | 否 |
condition 结构:
整体结构,参考“查询API”->“DSL结构”->“content字段/condition”
{ "property_operation": ">", "property_values": [0], "period": {} }
新增字段含义说明:
字段 | 取值与含义 | 是否必须 | 例子 |
---|---|---|---|
period | 分群条件的时间范围,参考 DSL period结构 | 否 | 选择事件、或者all_value用户属性的时候一定需要时间 |
{ "periods": [], "version": 3, "use_app_cloud_id": true, "app_ids": [ 164314 ], "content": { "option": { "cohort": { "outer_logic": "and" } }, "query_type": "cohort_v3_idlist", "profile_filters": [], "profile_groups": [], "queries": [ [ { "show_label": "c06bed36-eede-4174-91bf-8f37eac3a8ee", "event_name": "any_event", "event_type": "origin", "logic": true, "event_indicator": "events", "measure_info": {}, "condition": { "property_operation": ">=", "property_values": [ 1 ], "period": { "granularity": "day", "type": "past_range", "spans": [ { "type": "past", "past": { "amount": 7, "unit": "day" } }, { "type": "past", "past": { "amount": 1, "unit": "day" } } ], "timezone": "Asia/Shanghai", "week_start": 1 } }, "filters": [ { "expression": { "logic": "and", "conditions": [] } } ] } ] ] } }
{ "periods": [], "version": 3, "use_app_cloud_id": true, "app_ids": [ 164314 ], "content": { "option": { "cohort": { "outer_logic": "and" } }, "query_type": "cohort_v3_idlist", "profile_filters": [], "profile_groups": [], "queries": [ [ { "show_label": "c06bed36-eede-4174-91bf-8f37eac3a8ee", "event_name": "any_event", "event_type": "origin", "logic": false, "event_indicator": "events", "measure_info": {}, "condition": { "property_operation": ">=", "property_values": [ 1 ], "period": { "granularity": "day", "type": "past_range", "spans": [ { "type": "past", "past": { "amount": 7, "unit": "day" } }, { "type": "past", "past": { "amount": 1, "unit": "day" } } ], "timezone": "Asia/Shanghai", "week_start": 1 } }, "filters": [ { "expression": { "logic": "and", "conditions": [] } } ] } ] ] } }
{ "periods": [], "version": 3, "use_app_cloud_id": true, "app_ids": [ 164314 ], "content": { "option": { "cohort": { "outer_logic": "and" } }, "query_type": "cohort_v3_idlist", "profile_filters": [], "profile_groups": [], "queries": [ [ { "show_label": "c06bed36-eede-4174-91bf-8f37eac3a8ee", "event_indicator": "events", "logic": true, "condition": { "period": { "granularity": "day", "type": "past_range", "spans": [ { "type": "past", "past": { "amount": 7, "unit": "day" } }, { "type": "past", "past": { "amount": 1, "unit": "day" } } ], "timezone": "Asia/Shanghai", "week_start": 1 }, "property_operation": ">", "property_values": [ 0 ] }, "filters": [ { "expression": { "logic": "and", "conditions": [ { "property_type": "profile", "property_name": "custom_Age", "property_compose_type": "origin", "property_operation": "=", "property_values": [ 35 ] } ] } } ] } ] ] } }
{ "periods": [], "version": 3, "use_app_cloud_id": true, "app_ids": [ 164314 ], "content": { "option": { "cohort": { "outer_logic": "and" } }, "query_type": "cohort_v3_idlist", "profile_filters": [], "profile_groups": [], "queries": [ [ { "show_label": "c06bed36-eede-4174-91bf-8f37eac3a8ee", "event_indicator": "events", "logic": false, "condition": { "period": { "granularity": "day", "type": "past_range", "spans": [ { "type": "past", "past": { "amount": 7, "unit": "day" } }, { "type": "past", "past": { "amount": 1, "unit": "day" } } ], "timezone": "Asia/Shanghai", "week_start": 1 }, "property_operation": ">", "property_values": [ 0 ] }, "filters": [ { "expression": { "logic": "and", "conditions": [ { "property_type": "profile", "property_name": "custom_Age", "property_compose_type": "origin", "property_operation": "=", "property_values": [ 35 ] } ] } } ] } ] ] } }
{ "periods": [], "version": 3, "use_app_cloud_id": true, "app_ids": [ 164314 ], "content": { "option": { "cohort": { "outer_logic": "and" } }, "query_type": "cohort_v3_idlist", "profile_filters": [], "profile_groups": [], "queries": [ [ { "show_label": "1c21dddc-bcc6-4389-90b2-09d6f66099b4", "event_name": "predefine_pageview", "event_id": 237198, "event_type": "origin", "logic": true, "event_indicator": "events", "sequence_first": true, "next_query_label": "e0edb616-3530-4316-9604-9141099db401", "condition": { "period": { "granularity": "day", "type": "past_range", "spans": [ { "type": "past", "past": { "amount": 7, "unit": "day" } }, { "type": "past", "past": { "amount": 1, "unit": "day" } } ], "timezone": "Asia/Shanghai", "week_start": 1 }, "property_operation": ">", "property_values": [ 0 ] }, "filters": [ { "expression": { "logic": "and", "conditions": [] } } ] }, { "show_label": "e0edb616-3530-4316-9604-9141099db401", "event_name": "order_pay_success", "event_id": 298968, "event_type": "origin", "logic": true, "event_indicator": "events", "sequence_first": false, "next_query_label": null, "condition": { "period": { "granularity": "day", "type": "past_range", "spans": [ { "type": "past", "past": { "amount": 7, "unit": "day" } }, { "type": "past", "past": { "amount": 1, "unit": "day" } } ], "timezone": "Asia/Shanghai", "week_start": 1 }, "property_operation": ">", "property_values": [ 0 ] }, "filters": [ { "expression": { "logic": "and", "conditions": [] } } ] } ] ] } }
API | 说明 |
---|---|
获取分群列表 | |
获取指定分群信息 | |
获取指定分群的用户列表信息 | |
下载指定分群用户列表信息(流式) | |
规则创建分群 | |
刷新分群 | |
上传文件创建分群 | |
删除创建分群 | |
修改创建分群 |