“KP工作台数据漏斗”的版本间的差异

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第149行： 第149行：
 
</source>
 
</source>
 
== 测试 ==
 
== 测试 ==
 +
=== 天 ===
 +
* hsf
 +
<source lang="json">
 +
[
 +
  "external/kpwork/overview",
 +
  {
 +
    "adminMemberSeq": "14",
 +
    "statDate": "2018-10-14",
 +
    "statisticsType": "day"
 +
  }
 +
]
 +
</source>
 
=== 周 ===
 
=== 周 ===
 
* oneService
 
* oneService
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]
 
]
 
</source>
 
</source>
 +
 
== alidataservice 包装接口测试 ==
 
== alidataservice 包装接口测试 ==
 
=== 天 ===
 
=== 天 ===

2018年11月14日 (三) 14:32的版本

描述

aone

aone

RPC接口

接口

需求

接口

external/kpwork/overview

sql

  • terminal_type: PC, TOTAL, WS
SELECT
    stat_date,
    imps_cnt_1d_027,
    clk_cnt_1d_092,
    uv_1d_169,
    fb_cnt_1d_013,
    fst_reply_rate_1m_003,
    terminal_type
FROM
    dwp_en_dm_comp_term_catelv2_eff_d
where
    ( stat_date="2018-10-8"
      or stat_date="2018-10-9" )
    and admin_mbr_seq="14"
    and is_main_cate="Y"
    and cate_lv2_id=100010695

展现的条目

  • （投）--- 未加工（投的钱）
  • （曝）imps_cnt_1d_027  : 最近1天排除联盟的搜索item和p4p商品曝光量
  • （访）uv_1d_169  : 最近1天访客数
  • （点）clk_cnt_1d_092 ： 最近1天排除联盟的搜索item和p4p商品相关点击次数
  • （反）fb_cnt_1d_013  : 最近1天有效MC询盘数
  • （？）fst_reply_rate_1m_003: 最近30天及时回复率

oneService

参数

  • statDate (根据statisticsType校验，返回相应错误) 
  • terminalType
  • statisticsType
  • adminMemberSeq

SQL配置

  • external.kpwork.overview
select
    ${returnFields}    
from
    <if test='statisticsType == "day"'> 
        dwp_en_dm_comp_term_catelv2_eff_d
    </if>  
    <if test='statisticsType == "week"'> 
        dwp_en_dm_comp_term_catelv2_eff_w
    </if>
    <if test='statisticsType == "month"'> 
        dwp_en_dm_comp_term_catelv2_eff_m
    </if>         
where
    ( stat_date = #{statDate} 
       or stat_date = #{prevDate} )
    and admin_mbr_seq = #{adminMemberSeq}
    and terminal_type = #{terminalType}
    and is_main_cate = #{isMainCate}
    and cate_lv2_id = #{cateLv2Id}

计算前一天/周/月

import java.text.SimpleDateFormat;
import org.apache.commons.lang.time.DateUtils;


SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
Date statDate = new Date(sdf.parse(statDateStr).getTime());
Date prevDate = statDate;
if ("day".equalsIgnoreCase(statisticsType)) {
    prevDate = DateUtils.addDays(statDate, -1);
} else if ("week".equalsIgnoreCase(statisticsType)) {
    prevDate = DateUtils.addWeeks(statDate, -1);
} else if ("month".equalsIgnoreCase(statisticsType)) {
    prevDate = DateUtils.addMonths(statDate, -1);
}

return sdf.format(prevDate);

计算2级主营类目ID (cateLv2Id)

---！鹊桥接口即将废弃，本函数可能会改

import com.alibaba.da.pbserver.client.dubbo.result.PBResult;
import com.alibaba.da.pbserver.client.service.PiebridgeHsfServicesLocator;
import com.alibaba.da.pbserver.server.dubbo.api.IPBHsfService;
import com.alibaba.data.alidataservice.infrastructure.util.ResultChecker;
import org.apache.commons.collections.MapUtils;
import java.text.SimpleDateFormat;
import java.util.Date;
import java.util.HashMap;
import java.util.Map;


String PBID_GET_OVERVIEW_MAIN_INDUSTRY = "1BDE5F7A0A7D35266592C87B492946E4";
IPBHsfService pbHsfService = PiebridgeHsfServicesLocator.getPiebridgeService();

SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
Date requestDate = new Date(sdf.parse(statDate).getTime());

Map<String, Object> params = new HashMap<>(2);
params.put("adminMemberSeq", adminMemberSeq);
params.put("statDate", requestDate);

PBResult<Map<String, Object>> mainCatePbResult = pbHsfService.queryForSingle(PBID_GET_OVERVIEW_MAIN_INDUSTRY, params);

Map<String, Object> mainCateResult = ResultChecker.checkAndReturnPbResult(mainCatePbResult);

Long industryId = -1L;
if (MapUtils.isNotEmpty(mainCateResult)) {
    industryId = (Long) mainCateResult.get("industryId");
}

return industryId;

新接口

http://oneservice.alibaba-inc.com/v2/view_service_unit.htm?spm=a1zad.8169555.0.0.616bfe14ofZa7f&logicTableId=1022295&sqlId=1001517 

select
    cateLv2Id as industryId,
    isMainCate 
from
    dwpEnDmCompCatelv2FilterD 
where
    adminMbrSeq=#{adminMemberSeq} 
    and statDate=#{statDate} 
order by
    rank limit 1
  • oneness
select
    ${returnFields}
from
    dwpEnDmCompCatelv2FilterD 
where
    adminMbrSeq=#{adminMemberSeq} 
    and statDate=#{statDate} 
order by
    rank limit 1

测试

天

  • hsf
[
  "external/kpwork/overview",
  {
    "adminMemberSeq": "14",
    "statDate": "2018-10-14",
    "statisticsType": "day"
  }
]

周

  • oneService
select
    stat_date as statDate,
    clk_cnt_1d_092 as searchClicks,
    imps_cnt_1d_027 as searchImps,
    fb_cnt_1d_013 as mcCnt,
    uv_1d_169 as visitUv,
    terminal_type as terminalType,
    fst_reply_rate_1m_003 as replyRate  
from
    dwp_en_dm_comp_term_catelv2_eff_w  
where
    (
        stat_date = '2018-11-10'          
        or stat_date = '2018-11-03'      
    )      
    and admin_mbr_seq = 14      
    and is_main_cate = 'Y'      
    and cate_lv2_id = 100010695 
order by
    stat_date desc
  • hsf
[
  "external/kpwork/overview",
  {
    "adminMemberSeq": "14",
    "statDate": "2018-11-10",
    "statisticsType": "week"
  }
]

月

  • oneService
select
    stat_date as statDate,
    clk_cnt_cm_092 as searchClicks,
    fb_cnt_cm_013 as mcCnt,
    imps_cnt_cm_027 as searchImps,
    uv_cm_169 as visitUv,
    terminal_type as terminalType,
    fst_reply_rate_1m_003 as replyRate 
from
    dwp_en_dm_comp_term_catelv2_eff_m 
where
    (
        stat_date = '2018-11-01' 
        or stat_date = '2018-10-01' 
    ) 
    and admin_mbr_seq = 14 
    and is_main_cate = 'Y' 
    and cate_lv2_id = 100010695
  • hsf
[
  "external/kpwork/overview",
  {
    "adminMemberSeq": "14",
    "statDate": "2018-11-01",
    "statisticsType": "month"
  }
]

alidataservice 包装接口测试

天

  • hsf
[
  "external/kpwork/overview",
  [
    ""
  ],
  {
    "admin_mbr_seq": 14,
    "adminMemberSeq": "14",
    "statDate": "2018-2-10",
    "statisticsType": "day"
  },
  {
    "appInfo": "kpwork",
    "appSecret": "O7QjaM7Orq",
    "class": "com.alibaba.data.alidataservice.api.common.dto.ClientInfo"
  }
]
取自“http://106.14.10.253:8190/index.php?title=KP工作台数据漏斗&oldid=752”