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=FORMAT: 1A
HOST: http://polls.apiblueprint.org/
# bookshop
Polls is a simple API allowing consumers to view polls and vote in them.
## 通用接口参数
如果没有特殊说明，接口request和response都采用json格式
request接口都必须带上如下参数： request接口以/data开头
+ Request (application/json)
{
"userId": 1243324,
"userName": "张三",
"shopIdList[]": [1],
"token": "1234124231", //MD5(tokenBaseKey+signTime)
"signTime": 234235423 //提交时间戳，自1970年1月1日至今经过的秒数秒数秒数
}
+ Response 200 (application/json)
{
"isOk": true, //true代表成功 false表示失败
"code": 200, //调用返回码
"message": "Success" //调用返回信息
}
如果需要分页，request接口都必须带上如下参数: request接口以/data开头
{
"queryList[pageNum]":1,
"queryList[pageSize]":10
}
返回数据 增加一个对象 格式如下：
{
,
"paginator":{
"currentPage":,
"maxEntries":,
"totalPage":4
}
}
改变当前店铺 /shop/shopChange [GET]
data: {
"id": 1 //需要切换的店铺id
}
改变当前公司 /company/companyChange [GET]
data: {
"id": 1 //需要切换的公司id
}
获取当前登录状态
+ Response 200 (application/json)
{
"getLogin":{
"loginStatus": 1, //当前登录状态，0为未登录，1为已登录，其他值视为未授权
"userId": "1",
"userToken": "dgdsfgasd",
"userName": "潘杉666",
"shopId": 1,
"companyId": 3,
"company[]":[
"companyId": "3",
"companyName": "商务印刷馆1",
"shop[]": [
{
"shopId": "1",
"shopName": "商务印刷馆1店铺1"
}
]
],
"auth[]": [
{
"controlIndex": "dashboard",
"secondAuth": {
"dashboard": 1
}
},
{
"controlIndex": "customerAnalysis",
"secondAuth": {
"rfmAnalysis": 1,
"customStructureAnalysis": 3,
"productAnalysis": 3,
"salesAnalysis": 3,
"crowdManagement": 3
}
},
{
"controlIndex": "activityManagement",
"secondAuth": {
"activityPlanManagement": 1,
"activityReportAnalysis": 3
}
},
{
"controlIndex": "managementBackend",
"secondAuth": {
"userManagement": 3,
"departmentManagement": 3,
"roleManagement": 3,
"shopManagement": 3
}
}
]
}
}
## 客户洞察模块
### RFM模型分析
#### R值分析 /rfm/rAnalysisList [GET]
+ Request (application/json)
{
"endTime":"2016-06-19", //分析截止时间
"durTime": 365, //分析周期
"shopIdList": [ //参与分析店铺id列表
1234234,
1231233,
1233244,
1232344
],
"rValue": 10, //r值
}
+ Response 200 (application/json) 结合页面商榷返回
{
"rAnalysisList": [{
"duringTime": "10-20天",
"customNum": 222, //参与分析客户数量
"customRate": 1.09%, //参与分析客户占比
"accuCustomRate": 7.01%, //参与分析客户累计占比
"f1": 11.1%,
"f2": 22.2%,
"f3": 11.1%,
"f4": 22.2%,
"f5tobig": 33.4%,
"pricePerCustom":"200.0",
"boughtTimes":"1.34",
"accumulateMoney":"43.0"
},{
}
]
}
#### F值分析 /rfm/fAnalysisList [GET]
+ Request (application/json)
{
"endTime": "2016-06-19", //分析截止时间
"durTime": 365, //分析周期
"shopIdList": [ //参与分析店铺id列表
123444,
124312,
214123,
123412
],
}
+ Response 200 (application/json) 结合页面商榷返回格式
{
"rAnalysisList": [{
"frequency": "1次",
"customNum": 222, //参与分析客户数量
"customRate": 1.09%, //参与分析客户占比
"accuCustomRate": 7.01%, //参与分析客户累计占比
"r1": 11.1%,
"r2": 22.2%,
"r3": 11.1%,
"r4": 22.2%,
"r5tobig": 33.4%,
"pricePerCustom":"280.343",
"boughtTimes":"2.0",
"accumulateMoney":"132.4"
},{
}
]
}
#### M值分析 /rfm/mAnalysisList [GET]
+ Request (application/json)
{
"endTime": "2016-06-19", //说明同上
"durTime": 365,
"shopIdList": [
1232134,
2143433,
1243244,
2132343
],
"mValue": 10,
}
+ Response 200 (application/json) 结合页面商榷返回格式
{
"mAnalysisList": [{
"duringMoney": "20元以下 ",
"customNum": 222,
"customRate": "1.09%",
"accuCustomRate": "7.01%",
"f1": "11.1%",
"f2": "22.2%",
"f3": "11.1%",
"f4": "22.2%",
"f5tobig": "33.4%",
"r1": "11.1%",
"r2": "22.2%",
"r3": "11.1%",
"r4": "22.2%",
"r5tobig": "33.4%",
},{
}
]
}
#### 获取RFM模型接口 /rfm/rfmModel [GET]
+ Request (application/json)
{
"endTime": "2016-06-19",
"durTime": 365,
"shopIdList": [
2134324,
2134324,
2132433,
1243433
],
"targetSelected":"customRate" //可取值：customRate,averageAccount,totalAmount
}
+ Response 200 (application/json)
{
"rfmModel": [[1,1,1,2,3,4], //返回二维数组，每个元素分别表示不同f和r值情况下的分析结果
[2,3,3,3,4,5],
[3,3,3,4,4,2],
[3,3,3,4,4,2],
[3,3,3,4,4,2],
[3,3,3,4,4,2]
],
"total": 1000 //总数
}
#### 回购周期分析接口 /rfm/cycleAnalysis [GET]
+ Request (application/json)
{
"endTime": "2016-06-19",
"durTime": 365,
"shopIdList": [
2134324,
2134324,
2132433,
1243433
],
"cycleValue":10,
"cycleType":firstCycle
}
+ Response 200 (application/json)
{
"isOk":true,
"code": 200,
"message": "处理成功",
"cycleAnalysisList": [
{
"duringTime": "0-9天",
"customNum": 2121,
"customRate": "52.92%",
"accuCustomRate": "52.92%",
"r1": "48.56%",
"r2": "51.44%",
"r3": "0.00%",
"r4": "0.00%",
"r5tobig": "0.00%",
"f2": "45.78%",
"f3": "21.97%",
"f4": "11.36%",
"f5tobig": "20.89%",
"pricePerCustom": "225.79",
"boughtTimes": "3.75",
"accumulateMoney": "846.52"
}
]
}
### 客户结构分析 /rfm/custStruct
#### 获取全体客户分析截至截止时间信息 /all/endTime
+ Request (application/json)
{
}
+ Response 200 (application/json)
{
"endTime":[
"2016-09-09",
"2016-08-09",
"2016-07-09"
]
}
#### 全体客户 /rfm/allCustStruct
+ Request (application/json)
{
"endTime": "2016-06-19",
"shopIdList": [
2134324,
2134324,
2132433,
1243433
],
"rValue": 90
}
+ Response 200 (application/json)
全体客户 key = 1，
累计成交客户 key = 2，
潜在客户 key = 3，
R<r key = 4，
r<=R<2r key = 5，
2r<=R<4r key = 6，
R>=4r key = 7，
新客户（r天之前没有买过，r天之内买过）key = 8，
老客户（r天之前买过）key = 9,
月/半年/季/年度（取决于r值30，90，180，360）保持用户（前r天到2r天买过，r天内没买过）key = 10,
月/半年/季/年度（取决于r值30，90，180，360）唤醒用户（前2r天到4r天买过，2r之类没有买过）key = 11,
月/半年/季/年度（取决于r值30，90，180，360）激活用户（4r天前买过）key = 12
{
"totalCustomer": 1900 //参与分析总人数
"rAnalysis": [ //分别对不同r值的情况进行分析，至少两大类 r=0，r>365,其他按照rVaule进行划分
{
"rNumber": 209,
"rRate": 0.97%,
"key": 1,
"label":"全体客户 ",
"customTend":[200,58,16,89], // 客户数
"description": "解释"
},
{
"rNumber": 16,
"rRate": 0.08%,
"key": 2,
"parent": 1,
"label":" 累计成交客户 ",
"customTend":[200,58,16,89], // 客户数
"description": "解释"
}
...
]
}
#### 获取活跃客户分析截至截止时间信息 /active/endTime
+ Request (application/json)
{
}
+ Response 200 (application/json)
{
"endTime":[
"2016-09-09",
"2016-08-09",
"2016-07-09"
]
}
####活跃客户 /rfm/activeCustStruct
+ Request (application/json)
{
"endTime": "2016-06-19",
"shopIdList": [
2134324,
2134324,
2132433,
1243433
],
"rValue": 90
}
+ Response 200 (application/json)
全体客户 key = 1，
新客户（r天之前没有买过，r天之内买过）key = 2，
老客户（r天之前买过）key = 3,
购买一次 key = 4,
购买多次 key = 5,
月/半年/季/年度（取决于r值30，90，180，360）保持用户（前r天到2r天买过，r天内没买过）key = 6,
月/半年/季/年度（取决于r值30，90，180，360）唤醒用户（前2r天到4r天买过，2r之类没有买过）key = 7,
月/半年/季/年度（取决于r值30，90，180，360）激活用户（4r天前买过）key = 8
{
"totalCustomer": 1900 //参与分析总人数
"rAnalysis": [ //分别对不同r值的情况进行分析，至少两大类 r=0，r>365,其他按照rVaule进行划分
{
"rNumber": 209, //客户数
"rRate": 7.97%, //客户保持率，客户唤醒率，重复购买率等各种
"key": 1,
"parent": 0,
"dealAmount": 100 ,// 成交额
"aveDealAmount": 1000 ,//人均成交额
"repeatCustNum": 22 ,//重复购买人数
"repeatDealAmount": 2222.98,//重复购买金额
"repeatRate": 20%,
"customTend":[200,58,16,89], // 客户数
"description": "解释",
"label":"活跃客户"
},
{
"rNumber": 109, //客户数
"rRate": 0.97%, //客户保持率，客户唤醒率，重复购买率等各种
"key": 1,
"dealAmount": 100 ,// 成交额
"aveDealAmount": 1000 ,//人均成交额
"repeatCustNum": 22 ,//重复购买人数
"repeatDealAmount": 2222.98//重复购买金额
"parent": 1,
"repeatRate": 20%,
"customTend":[200,58,16,89], // 客户数
"description": "解释",
"label":"新客户"
}
...
]
}
####会员客户 /rfm/memberLevel [GET]
+ Request (application/json)
{
"endTime": "2016-06-19",
"shopIdList": [
2134324,
2134324,
2132433,
1243433
],
"rValue": 90
}
+ Response 200 (application/json)
memberLevel 1-3 为会员等级，memberLevel 0 为总计
{
"member":[
{
"memberLevel": 1, //会员等级
"memberNum": 284, //会员人数
"activeMemberNum": 222, //活跃会员人数
"activeOrderNum": 45, //活跃会员订单数
"activeOrderAmount": 123 //活跃会员消费金额
"activeAveAmount": 80.3, //活跃会员人均累计成交
"activeAveNum": 2, //活跃会员人均购买次数
"activeAveGoodsNum": 2 //活跃会员人均每次成交
"memberOrderNum": 432, //会员总订单数
"memberOrderAmount": 9458.6, //会员总消费金额
"aveAmount": 80.3, //人均累计成交
"aveNum": 2, //人均购买次数
"aveGoodsNum": 2 //人均每次成交
},
{},
{}
]
}
## 商品分析
### 获取商品销售连带 /product/saleJoint [GET]
+ Request (application/json)
{
"smallSaleJointRate": 16.6, //最小连带购买率（连带购买率取值范围）
"bigSaleJointRate": 20.1, //最大连带购买率（连带购买率取值范围）
"smallRecommendablePeople": 190, //最小可推荐人数
"bigRecommendablePeople": 223, //最大可推荐人数
"smallSuccessPeople" : 1, //最小预计成功数
"bigSuccessPeople": 3, //最大预计成功数
"productA": "目送", //商品名称或关键字
"productB": "一句顶一万句",
"typeA": "文学", //商品类目
"typeB": "小说",
"shopIdList": [
213424,
123424,
214234,
123234
],
"recency": 7, //使用最近7的数据进行分析
"pageNum": 1 //当前页数
}
+ Response 200 (application/json)
{
"saleJoint": [{
"productAName": "目送",
"buyerA": 199,
"productBName": "一句顶一万句",
"buyerB": 221,
"collocationCorrelation": "?不知道这个字段有没有必要", //搭配关联
"salesJointRate": 0.46%, //购买连带率
"recommendablePeople": 215, //可推荐人数
"successPeolple": 2, //预计可成功人士
"totalPage": //分页总页数
"customerList": [{ //可推荐客户列表
"customerId": 213, //数组元素为customer实体
"customerPhone": 123214,
"customerEmail": "123@qq.com"
},{
}
]
},
{}]
}
### 导出推荐规则列表 /product/recommendRule [GET]
+ Response 200 (application/json)
{
}
### 选中客户名单下载/exportCustomList [GET]
+ Response 200 (application/json)
{
}
### 获取内页连带 /product/embeddedPagesJoint [GET]
+ Request (application/json)
{
"smallEmbeddedPagesJointRate": 16.6,
"bigEmbeddedPagesJointRate": 20.1,
"productA": "目送",
"productB": "一句顶一万句",
"typeA": "文学",
"typeB": "小说",
"shopIdList": [
12344432,
21342343,
21434322,
12343423
],
"pageNum": 1
}
+ Response 200 (application/json)
{
"embeddedPagesJoint": [{
"productAName": "目送",
"buyerA": 199,
"productBName": "一句顶一万句",
"buyerB": 221,
"collocationCorrelation": "?不知道这个字段有没有必要",
"embeddedPagesJointRate": 0.46%,
"totalPage": 23
},
{}]
}
### 获取访客价值 /product/visitorValue [GET]
+ Request (application/json)
{
"smallTransferRate": 16.6,
"bigTransferRate": 20.1,
"productA": "目送",
"productB": "一句顶一万句",
"typeA": "文学",
"typeB": "小说",
"shopIdList": [
23143,
32143,
21343,
23143
],
"pageNum": 1
}
+ Response 200 (application/json)
{
"visitorValue": [{
"productAName": "目送",
"buyerA": 199,
"productBName": "一句顶一万句",
"buyerB": 221,
"comsumeAmount" :987.4,
"collocationCorrelation": "?不知道这个字段有没有必要",
"transferRate": 0.46%,
"totalPage": 23
},
{}]
}
### 获取回购周期 /product/backCycle [GET]
+ Request (application/json)
{
"smallBuyer": 111,
"bigBuyer": 202,
"smallBuyBackCycle": 2,
"bigBuyBackCycle": 4,
"smallNotBuyerToday": 011,
"bigNotBuyerToday": 18,
"smallNotBuyerWeek": 121,
"bigNotBuyerWeek": 211,
"product": "目送",
"type": "文学",
"shopIdList": [
21312,
12313,
231321,
123123
],
"pageNum": 1
}
+ Response 200 (application/json)
{
"buyBackCycle": [{
"productName": "目送",
"buyer": 199,
"buyerBack": 221,
"buyBackRate" :0.49%,
"aveBuyBackPerPerson": 1.02,
"aveBuyBackCycle": 4,
"notBuyerToday": 11,
"notBuyerWeek": 222
"totalPage": 23
},
{}]
}
## 销售分析
### 获取销售分析截止时间信息 /salaAnalysis/endTime
+ Request (application/json)
{
}
+ Response 200 (application/json)
{
"endTime":[
"2016-09-09",
"2016-08-09",
"2016-07-09"
]
}
### 销售分析指标树 /saleAnalysis/saleAnalysisTree [GET]
1 成交金额 2 成交订单数 3 订单均价 4 首次购买订单数 5 回头购买订单数 6 关联销售订单占比 7 平均单件数
+ Request (application/json)
{
"type":1 //1 按周 2 按月 3 按天 4季度
"shopIdList": [
12345,
12354,
12334,
12341
],
"endTime": "2016-09-02"
}
+ Response 200 (application/json)
{
"tree":[
{
"amount": 20, //成交额
"orderNum": 20, //订单件数
"aveAmount": 20, //订单均价
"key": 1,
"trend":[1,2,3,4,5], //趋势
"description": 说明, //说明
"compareLast": -12%, //与上一个单位相比
"label": 成交额 //名称
"jointOrderRate": 10%, //关联订单的占比
"aveOrderNum": 20, //平均订单件数
},
{},{}
]
}
#### 获取类目中商品销售情况 /saleAnalysis/productsInfo
+ Request (application/json)
{
"type":1 , //1 按周 2 按月 3 按天
"shopIdList": [
12345,
12354,
12334,
12341
],
"endTime": "2016-09-02",
"dimension": 1 // 1 apg 2 cat 3 product //查看维度
}
+ Response 200 (application/json)
{
"time": "2016-11-02", //本次时间
"lastTime": "2016-05-05" //上次时间
"productSet": [
{
"productName": "Love Story", //商品名称
"dealMoney": 3300, //成交金额
"dealNum":33, //成交件数
"avePrice": 100, //件均价
"moneyRate": 10.00%, //环比成交额
"numRate": 10.00%, //环比成交件数
"priceRate": 10.00% //环比件单价
"lastDealMoney": 22, //上一次成交额
"lastDealNum": 23, //上一次成交件数
"lastAvePrice": 23 //上一次件单价
},
{},
{}
]
}
#### 获取首次/回头购买分析情况 /saleAnalysis/purchasingAnalysis
+ Request (application/json)
{
"type":1 , //1 按周 2 按月 3 按天
"shopIdList": [
12345,
12354,
12334,
12341
],
"endTime": "2016-09-02",
}
+ Response 200 (application/json)
{
"purchasingAnalysis":[
{
"time": 2016-12-12, //购买日期
"totalAmount": 40, //合计成交金额
"totalOrderNum": 45, //合计订单件数
"totalAveAmount": 56, //合计订单均价
"firstAmount": 40, //首次购买成交金额
"firstOrderNum": 45, //首次购买订单数
"firstAveAmount": 45, //首次购买订单均价
"backAmount": 56, //回头购买成交金额
"backOrderNum": 56, //回头购买订单数
"backAveAmount": 56 //回头购买订单均价
},
{},
{}
]
}
#### 获取店铺促销分析情况 /saleAnalysis/promotionAnalysis
+ Request (application/json)
{
"type":1 , //1 一天 3 三天 7 七天 11 十一天 18 十八天 30 一个月 90 一个季 180 半年 360 一年
"shopIdList": [
12345,
12354,
12334,
12341
],
"endTime": "2016-09-02"
}
+ Response 200 (application/json)
{
"time": "2016-11-02",
"lastTime": "2016-05-05",
"promotionSet": [
{
"promotionType": 1,
"promotionName":"天猫优惠券"
"promMoney": 3300, //优惠金额
"promNum":33, //优惠次数
"promAvePrice": 100, //平均优惠金额
"moneyRate": 10.00%, //环比优惠金额
"numRate": 10.00%, //环比优惠次数
"avePriceRate": 10.00% //环比平均优惠金额
"lastPromMoney": 22, //上一次优惠金额
"lastPromNum": 23, //上一次优惠次数
"lastPromAvePrice": 23 //上一次平均优惠金额
},
{},
{}
]
}
## 人群管理
### 人群规则管理
#### 获取人群规则 /crowd/crowdRule [get]
+ Request (application/json)
{
"ruleName":"人群规则名称"
}
+ Response 200 (application/json)
{
"crowdRules": [
{"id": 2677,
"createDate": "2017-03-29 14:49:02",
"ruleName": "人群创建于20170329144902",
"parameters":"{}",
"ruleType":71,
"shopId":1,
"supporter":"非系统",
"userName":"火数"
},
{"id": 2678,
"createDate": "2017-03-30 14:49:02",
"ruleName": "人群创建于20170330144902",
"parameters":"{}",
"ruleType":71,
"shopId":1,
"supporter":"非系统",
"userName":"火数"
}
]
}
#### 获取所有类目 /crowd/getCategory [get]
+Request (application/json)
{
}
+Response 200 (application/json)
{
"categories":
[
{"value": "A01",
"label": "A01-辭書及工具書"
},
{"value": "A02",
"label": "A02-語言文字"
}
]
}
#### 新建人群规则 /crowd/crowRule [POST]
+ Request (application/json)
{
"createDate": "2016-12-12 00:00:00",
"ruleName": "人群规则创建于1",
"ruleType": 71,
"parameters": "{'rule1':1, 'rule2':2, 'rule3':3, 'cond1':'and', 'cond2':'or'}",
"userId": 1,
"userName": "张三",
"shopIdList": [1],
"supporter": "2"
}
+ Response 200 (application/json)
{
}
##### ruleType70 类目偏好人群
+ Request (application/json)
{
"createDate": "2016-12-12 00:00:00",
"ruleName": "人群规则创建于1",
"ruleType": 70,
"parameters": "{'categories': '25,21', 'recency': '1|2|3|4|5|6'}",
"userId": 1,
"userName": "张三",
"shopIdList": [1],
"supporter": "2"
}
##### ruleType71 规则运算人群
+ Request (application/json)
{
"createDate": "2016-12-12 00:00:00",
"ruleName": "人群规则创建于1",
"ruleType": 71,
"parameters": "{'rule1':1, 'rule2':2, 'rule3':3, 'cond1':'and', 'cond2':'or'}",
"userId": 1,
"userName": "张三",
"shopIdList": [1],
"supporter": "2"
}
##### ruleType72 模型运算人群
+ Request (application/json)
{
"createDate": "2016-12-12 00:00:00",
"ruleName": "人群规则创建于1",
"ruleType": 72,
"parameters": "见下文",
"userId": 1,
"userName": "张三",
"shopIdList": [1],
"supporter": "2"
}
逻辑回归
+ Request (application/json)
{
"parameters":{
modelType:true,
crowdSize:1000,
rule:1,
testFactor:1,
trainFactor:4,
LRMaxIterate:100,
LRConvergeFactor: 0.00001,
LRLamda:0.3,
LRElasticNetParam:0.8
}
}
SVM
+ Request (application/json)
{
"parameters":{
modelType:false,
crowdSize:1000,
rule:32,
testFactor:2,
trainFactor:3,
SVMConvergeFactor:0.001,
SVMMaxIterate: 100,
SVMRegType: true|false,
SVMLamda:1,
SVMStepSize:1,
SVMMiniBatchFactor:1
}
}
#### 删除人群规则 /crowd/crowRule/id [DELETE]
+ Request (application/json)