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#流量分析首页接口
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## 接口描述
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### 1、流量总览分析
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#### 请求参数
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| Param Name | Param Type | Required | Param Value | Desc |
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| :-- | --: | --: | --: | --: |
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| type | String | false |pc/wap/app/all| 客户端类类型(默认all)|
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| date | date | false |2016-12-26|时间类型(默认当天)|
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#### 请求方法
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post htttp://localhost:8080/flowsurvey/overview
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#### 请求内容json
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{
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"date": "2016-12-16",
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"type": "pc/wap/app/all"
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}
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#### 响应内容json
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{
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"over_view": {
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"type": "all",
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"date": "2016-12-16",
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"content": {
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"pv": "",
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"uv": "",
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"loss_rate": "",
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"avg_pv": "",
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"avg_stay": ""
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}
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}
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}
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### 2、流量趋势分析(现在默认近7天的数据)
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#### 请求参数
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| Param Name | Param Type | Required | Param Value | Desc |
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| :-- | --: | --: | --: | --: |
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| type | String | false |pc/wap/app/all| 客户端类类型(默认全部)|
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| index | Array | false | ["pv","uv","loss_rate","avg_pv","avg_stay"]|指标类型(默认[“pv”,”uv”])|
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### 请求方法
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post http://localhost:8080//flowsurvey/trend
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### 请求内容json
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{
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"type": "pc/wap/app/all",
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"index": [
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"pv",
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"uv",
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"loss_rate",
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"avg_pv",
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"avg_stay"
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]
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}
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#### 响应内容json
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{
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"trend": {
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"type": "pc",
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"content": [
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{
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"date": "2016-12-26",
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"pv": "",
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"uv": "",
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"loss_rate": "",
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"avg_pv": "",
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"avg_stay": ""
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},
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{
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"date": "2016-12-25",
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"pv": "",
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"uv": "",
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"loss_rate": "",
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"avg_pv": "",
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"avg_stay": ""
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},
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{
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"date": "2016-12-24",
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"pv": "",
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"uv": "",
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"loss_rate": "",
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"avg_pv": "",
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"avg_stay": ""
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}
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]
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}
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}
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### 3、来源排行分析
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#### 请求参数
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| Param Name | Param Type | Required | Param Value | Desc |
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| :-- | --: | --: | --: | --: |
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| type | String | true |pc/wireless| 客户端类类型|
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| date | date | false |2016-12-26|时间类型(默认当天)|
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#### 请求方法
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post htttp://localhost:8080/flowsurvey/resource_rank
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#### 请求内容json
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{
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"date": "2016-12-26",
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"type": "pc/wireless"
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}
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#### 响应内容json（结果已排序 index 从大到小排列）
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{
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"resource_rank": {
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"type": "pc",
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"date": "2016-12-26",
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"content": [
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{
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"index": 1,
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"name": "自然流量",
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"uv": 1,
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"order_rate": "12%",
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"order_rate_change": "+- 6%"
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},
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{
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"index": 2,
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"name": "搜索流量",
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"uv": 1,
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"order_rate": "12%",
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"order_rate_change": "+- 6%"
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}
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]
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}
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}
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### 4、访客行为分析
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#### 请求参数
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| Param Name | Param Type | Required | Param Value | Desc |
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| :-- | --: | --: | --: | --: |
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| type | String | true |brand/product| 排行分类|
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| date | date | false |2016-12-26|时间类型(默认当天)|
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| top | Int | false ||排名多少(默认前50)|
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#### 请求方法
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post htttp://localhost:8080/flowsurvey/action_rank
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#### 请求内容json
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{
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"date": "2016-12-16",
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"type": “brand/product”,
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“top”: 50
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}
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#### 响应内容json (同上 index 排序)
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{
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"action_rank": {
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"type": "brand",
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"date": "2016-12-26",
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"content": [
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{
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"index": "1",
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"name": "vans",
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"uv": 7000,
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"order_rate": "12%"
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},
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{
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"index": 2,
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"name": "adidas",
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"uv": 6000,
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"order_rate": "8%"
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}
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]
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}
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}
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### 5、用户特征分析
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#### 请求参数
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| Param Name | Param Type | Required | Param Value | Desc |
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| :-- | --: | --: | --: | --: |
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| type | String | true |terminal/city/gender/comp| 特征类型|
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| date | date | false |2016-12-26|时间类型(默认当天)|
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#### 请求方法
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post htttp://localhost:8080/flowsurvey/user_rank
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#### 请求内容json
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{
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"date": "2016-12-16",
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"type": “terminal/city/gender/comp"
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}
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#### 响应内容json
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#### terminal
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{
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"user_rank": {
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"type": "terminal",
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"date": "2016-12-26",
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"content": [
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{
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"pc": [
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{
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“time": 0,
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"pv": 1,
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"uv": 2
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},
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{
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“time": 1,
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"pv": 1,
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"uv": 2
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}
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],
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"wireless": [
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{
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“time": 0,
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"pv": 1,
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"uv": 2
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},
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{
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“time": 1,
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"pv": 1,
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"uv": 2
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}
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]
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}
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]
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}
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}
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#### city
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{
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"user_rank": {
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"type": "ciity",
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"date": "2016-12-26",
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"content": [
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{
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"index": 1,
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"name": "上海",
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"uv": 1,
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"order_rate": "5%"
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},
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{
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"index": 2,
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"name": "北京",
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"uv": 1,
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"order_rate": "5%"
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}
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]
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}
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}
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#### gender
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{
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"user_rank": {
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"type": "gender",
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"date": "2016-12-26",
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"content": [
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{
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"index": 1,
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"name": "男生",
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"uv": 1,
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"order_rate": "5%"
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},
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{
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"index": 2,
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"name": "女生",
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"uv": 1,
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"order_rate": "5%"
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},
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{
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"index": 3,
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"name": "其它",
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"uv": 1,
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"order_rate": "5%"
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}
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]
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}
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}
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#### comp 组成
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{
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"user_rank": {
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"type": "comp",
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"date": "2016-12-26",
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"content": [
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{
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"index": 1,
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"name": "新客",
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"uv": 1,
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"rate": "5%"
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},
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{
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"index": 2,
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"name": "老客",
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"uv": 1,
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"order_rate": "95%"
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}
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]
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}
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}
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...
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