├── .gitignore
├── LICENSE
├── README.md
├── pom.xml
└── src
└── main
├── java
└── com
│ └── example
│ └── riskcontrol
│ ├── RiskcontrolApplication.java
│ ├── conf
│ └── DruidConfiguration.java
│ ├── controller
│ ├── BlackListController.java
│ ├── ConfigController.java
│ ├── KieController.java
│ └── RiskController.java
│ ├── dao
│ ├── MongoDao.java
│ └── RedisDao.java
│ ├── mapper
│ ├── BlackListMapper.java
│ └── ConfigMapper.java
│ ├── model
│ ├── BlackList.java
│ ├── CodeMap.java
│ ├── Config.java
│ ├── EnumScene.java
│ ├── EnumTimePeriod.java
│ ├── Event.java
│ ├── LoginEvent.java
│ ├── RCRuntimeException.java
│ └── Result.java
│ ├── service
│ ├── BlackListService.java
│ ├── ConfigService.java
│ ├── DimensionService.java
│ └── KieService.java
│ └── util
│ ├── DocumentDecoder.java
│ └── EventFactory.java
└── resources
├── application.properties
├── import.sql
├── logback.xml
├── rules
├── 0_all_addevent.drl
├── 1_all_publish.drl
├── 98_login_ip.drl
└── 997_all_blackip.drl
└── static
└── index.html
/.gitignore:
--------------------------------------------------------------------------------
1 | *.iml
2 | /.idea/
3 | /.mvn/
4 | target/
5 | /logs/
6 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
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548 | to collect a royalty for further conveying from those to whom you convey
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551 |
552 | 13. Use with the GNU Affero General Public License.
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561 | combination as such.
562 |
563 | 14. Revised Versions of this License.
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565 | The Free Software Foundation may publish revised and/or new versions of
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568 | address new problems or concerns.
569 |
570 | Each version is given a distinguishing version number. If the
571 | Program specifies that a certain numbered version of the GNU General
572 | Public License "or any later version" applies to it, you have the
573 | option of following the terms and conditions either of that numbered
574 | version or of any later version published by the Free Software
575 | Foundation. If the Program does not specify a version number of the
576 | GNU General Public License, you may choose any version ever published
577 | by the Free Software Foundation.
578 |
579 | If the Program specifies that a proxy can decide which future
580 | versions of the GNU General Public License can be used, that proxy's
581 | public statement of acceptance of a version permanently authorizes you
582 | to choose that version for the Program.
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584 | Later license versions may give you additional or different
585 | permissions. However, no additional obligations are imposed on any
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587 | later version.
588 |
589 | 15. Disclaimer of Warranty.
590 |
591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
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598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
599 |
600 | 16. Limitation of Liability.
601 |
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603 | WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
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605 | GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
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609 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
610 | SUCH DAMAGES.
611 |
612 | 17. Interpretation of Sections 15 and 16.
613 |
614 | If the disclaimer of warranty and limitation of liability provided
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616 | reviewing courts shall apply local law that most closely approximates
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618 | Program, unless a warranty or assumption of liability accompanies a
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620 |
621 | END OF TERMS AND CONDITIONS
622 |
623 | How to Apply These Terms to Your New Programs
624 |
625 | If you develop a new program, and you want it to be of the greatest
626 | possible use to the public, the best way to achieve this is to make it
627 | free software which everyone can redistribute and change under these terms.
628 |
629 | To do so, attach the following notices to the program. It is safest
630 | to attach them to the start of each source file to most effectively
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632 | the "copyright" line and a pointer to where the full notice is found.
633 |
634 | {one line to give the program's name and a brief idea of what it does.}
635 | Copyright (C) {year} {name of author}
636 |
637 | This program is free software: you can redistribute it and/or modify
638 | it under the terms of the GNU General Public License as published by
639 | the Free Software Foundation, either version 3 of the License, or
640 | (at your option) any later version.
641 |
642 | This program is distributed in the hope that it will be useful,
643 | but WITHOUT ANY WARRANTY; without even the implied warranty of
644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
645 | GNU General Public License for more details.
646 |
647 | You should have received a copy of the GNU General Public License
648 | along with this program. If not, see .
649 |
650 | Also add information on how to contact you by electronic and paper mail.
651 |
652 | If the program does terminal interaction, make it output a short
653 | notice like this when it starts in an interactive mode:
654 |
655 | {project} Copyright (C) {year} {fullname}
656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
657 | This is free software, and you are welcome to redistribute it
658 | under certain conditions; type `show c' for details.
659 |
660 | The hypothetical commands `show w' and `show c' should show the appropriate
661 | parts of the General Public License. Of course, your program's commands
662 | might be different; for a GUI interface, you would use an "about box".
663 |
664 | You should also get your employer (if you work as a programmer) or school,
665 | if any, to sign a "copyright disclaimer" for the program, if necessary.
666 | For more information on this, and how to apply and follow the GNU GPL, see
667 | .
668 |
669 | The GNU General Public License does not permit incorporating your program
670 | into proprietary programs. If your program is a subroutine library, you
671 | may consider it more useful to permit linking proprietary applications with
672 | the library. If this is what you want to do, use the GNU Lesser General
673 | Public License instead of this License. But first, please read
674 | .
675 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | ## 该项目目前处于无人维护的状态,突然想起来,那就留个念想吧,来日再战。
2 |
3 | # 六道 —— 实时业务风控系统
4 | ## 背景
5 | 当前互联网企业存在很多业务风险,有些风险(比如薅羊毛)虽然没有sql注入漏洞利用来的直接,但是一直被羊毛党、刷单党光顾的企业长期生存下来的几率会很低!
6 |
7 | * 账号:垃圾注册、撞库、盗号等
8 | * 交易:盗刷、恶意占用资源、篡改交易金额等
9 | * 活动:薅羊毛
10 | * 短信:短信轰炸
11 |
12 | ## 项目介绍
13 | **实时业务风控系统是分析风险事件,根据场景动态调整规则,实现自动精准预警风险的系统。**
14 |
15 | > 本项目只提供实时风控系统框架基础和代码模板。
16 |
17 | ### 需要解决的问题
18 | * 哪些是风险事件,注册、登录、交易、活动等事件,需要业务埋点配合提供实时数据接入
19 | * 什么样的事件是有风险的,风险分析需要用到统计学,对异常用户的历史数据做统计分析,找出异于正常用户的特征
20 | * 实时性,风险事件的分析必须毫秒级响应,有些场景下需要尽快拦截,能够给用户止损挽回损失
21 | * 低误报,这需要人工风控经验,对各种场景风险阈值和评分的设置,需要长期不断的调整,所以灵活的规则引擎是很重要的
22 | * 支持对历史数据的回溯,能够发现以前的风险,或许能够找到一些特征供参考
23 |
24 | ### 项目关键字
25 | * 轻量级,可扩展,实时的Java业务风控系统
26 | * 基于Spring boot构建,配置文件能少则少
27 | * 使用drools规则引擎管理风控规则,原则上可以动态配置规则
28 | * 使用redis、mongodb做风控计算和事件储存,历史事件支持水平扩展
29 |
30 | ## 原理
31 | ### 统计学
32 | * 次数统计,比如1分钟内某账号的登录次数,可以用来分析盗号等
33 | * 频数统计,比如1小时内某ip上出现的账号,可以用来分析黄牛党等
34 | * 最大统计,比如用户交易金额比历史交易都大,可能有风险
35 | * 最近统计,比如最近一次交易才过数秒,可能机器下单
36 | * 行为习惯,比如用户常用登录地址,用户经常登录时间段,可以用来分析盗号等
37 |
38 | **抽象:某时间段,在条件维度(可以是多个维度复合)下,利用统计方法统计结果维度的值。充分发挥你的想象吧!**
39 |
40 | ### 实时计算
41 | 要将任意维度的历史数据(可能半年或更久)实时统计出结果,需要将数据提前安装特殊结果准备好(由于事件的维度数量不固定的,选取统计的维度也是随意的,所以不是在关系数据库中建几个索引就能搞定的),需要利用空间换时间,来降低时间复杂度。
42 |
43 | ### redis
44 | redis中数据结构sortedset,是个有序的集合,集合中只会出现最新的唯一的值。利用sortedset的天然优势,做频数统计非常有利。
45 |
46 | 比如1小时内某ip上出现的账号数量统计:
47 |
48 | * 保存维度
49 |
50 | ZADD key score member(时间复杂度:O(M*log(N)), N 是有序集的基数, M 为成功添加的新成员的数量),key=ip,score=时间(比如20160807121314),member=账号。存储时略耗性能。
51 | 结构如下:
52 |
53 | 1.1.1.1
54 | |--账号1 20160807121314
55 | |--账号2 20160807121315
56 | |--账号n 20160807121316
57 |
58 | 2.2.2.2
59 | |--账号3 20160807121314
60 | |--账号4 20160807121315
61 | |--账号m 20160807121316
62 |
63 | * 计算频数
64 |
65 | ZCOUNT key min max(时间复杂度:O(1)),key=ip,min=起始时间,max=截止时间。计算的性能消耗极少,优势明显
66 | * redis lua
67 |
68 | 把保存维度,计算频数,过期维度数据等操作,使用lua脚本结合在一起,可以减少网络IO,提高性能
69 |
70 |
71 | ### mongodb
72 | mongodb本身的聚合函数统计维度,支持很多比如:max,min,sum,avg,first,last,标准差,采样标准差,复杂的统计方法可以在基础聚合函数上建立,比如行为习惯:
73 |
74 | getDB().getCollection(collectionName).aggregate(
75 | Arrays.asList(
76 | match(match) --匹配条件维度
77 | , group("$" + field, Accumulators.sum("_count", 1)) --求值维度的次数
78 | , match(new Document("_count", new Document("$gte", minCount))) --过滤,超过minCount才统计
79 | , sort(new Document("_count", -1)) --对次数进行倒叙排列
80 | )
81 | );
82 |
83 | 建议在mongodb聚合的维度上建立索引,这样可以使用内存计算,速度较快。
84 |
85 | > redis性能优于mongodb,所以使用场景较多的频数计算默认在redis中运行,参考代码DimensionService.distinctCountWithRedis方法。但是redis为了性能牺牲了很多空间,数据重复存储,会占用很多内存。
86 |
87 | ### 风控流程
88 | 1. 黑名单
89 | 2. 白名单
90 | 3. 从细颗粒到粗颗粒,依次执行1和2,将所有黑白名单遍历
91 | 4. 风控规则
92 | 5. 阈值预警
93 | 6. 保存事件
94 |
95 | ## 环境准备
96 | * mysql,数据结构在import.sql中定义了
97 | * redis
98 | * mongodb,建议使用分片集群
99 |
100 | ## 项目配置
101 | * 应用配置:application.properties
102 | * 日志配置:logback.xml
103 | * 规则配置:rules/*.drl,规则都是用java语言编写。默认配置了登录事件的部分规则
104 |
105 |
106 | drl文件说明:
107 |
108 | package rules; --规则包路径
109 |
110 | import com.example.riskcontrol.model.LoginEvent --引入类
111 | import com.example.riskcontrol.service.DimensionService
112 | import com.example.riskcontrol.model.EnumTimePeriod
113 |
114 | global DimensionService dimensionService --引入外部服务
115 |
116 | rule "98_login_ip" --规则名称,全局唯一
117 | salience 98 --规则优先级,值越大越先执行
118 | lock-on-active true --事件不重复执行该规则
119 | when --条件判断,是否需要进入action
120 | event:LoginEvent() --判断事件对象是否是LoginEvent类
121 | then --action
122 | int count = dimensionService.distinctCount(event,new String[]{LoginEvent.OPERATEIP},EnumTimePeriod.LASTHOUR,LoginEvent.MOBILE); --近1小时内该事件ip上出现的mobile数量统计
123 | if(event.addScore(count,20,10,1)){ --如果统计结果超过20个,则记10分,并且结果每超1个,再多记1分
124 | dimensionService.insertRiskEvent(event,"近1小时内同ip出现多个mobile,count="+count); --记录风险事件日志
125 | }
126 | end --结束规则
127 |
128 | > drools的详细文档,请参考官方 [http://docs.jboss.org/drools/release/6.4.0.Final/drools-docs/html_single/index.html](http://docs.jboss.org/drools/release/6.4.0.Final/drools-docs/html_single/index.html)
129 |
130 | ## 部署
131 | 系统默认采用jar打包和运行,建议集群方式部署,然后使用反向代理做负载均衡。
132 | ### 打包
133 |
134 | mvn clean install
135 |
136 | ### 运行
137 | 建议jdk 8
138 |
139 | java -jar riskcontrol-*.jar
140 |
141 |
142 | ### war包部署
143 | 如果需要tomcat等容器部署,也可将配置打包方式修改成war包方式,修改pom.xml
144 |
145 | war
146 |
147 |
148 | ## 风控分析入口
149 | * 请求:http://domain/riskcontrol/req?json=JSON.toJsonString(LoginEvent)
150 | * 响应:score字段代码该事件的风险值(超过100分预警)
151 |
152 |
153 | ## TODO
154 | * 扩展黑白名单,ip,手机号,设备指纹等;
155 | * 扩展维度信息,比如手机号地域运营商,ip地域运营商,ip出口类型,设备指纹,Referer,ua,密码hash,征信等,维度越多,可以建立规则越多,风控越精准;
156 | * 扩展风控规则,针对需要解决的场景问题,添加特定规则,分值也应根据自身场景来调整。
157 | * 将用户的行为轨迹综合考虑,建立复合场景的规则条件。比如:登录->活动->订单->支付,将事件关联分析综合考虑;
158 | * **减少漏报和误报。当然,这将是个漫长的过程;**
159 |
160 | ## 献词
161 | 我把本项目献给我的阳
162 |
--------------------------------------------------------------------------------
/pom.xml:
--------------------------------------------------------------------------------
1 |
2 |
4 | 4.0.0
5 |
6 | com.example
7 | riskcontrol
8 | 0.0.1-SNAPSHOT
9 | jar
10 |
11 | riskcontrol
12 | risk control
13 |
14 |
15 | org.springframework.boot
16 | spring-boot-starter-parent
17 | 1.4.0.RELEASE
18 |
19 |
20 |
21 |
22 | UTF-8
23 | UTF-8
24 | 1.8
25 |
26 |
27 |
28 |
29 | org.springframework.boot
30 | spring-boot-starter-data-redis
31 |
32 |
33 | org.springframework.boot
34 | spring-boot-starter-web
35 |
36 |
37 | org.springframework.boot
38 | spring-boot-starter-data-mongodb
39 |
40 |
41 | mysql
42 | mysql-connector-java
43 | 5.1.39
44 |
45 |
46 | com.alibaba
47 | druid
48 | 1.0.23
49 |
50 |
51 | org.mybatis.spring.boot
52 | mybatis-spring-boot-starter
53 | 1.1.1
54 |
55 |
56 | org.drools
57 | drools-compiler
58 | 6.4.0.Final
59 | runtime
60 |
61 |
62 | org.kie
63 | kie-ci
64 | 6.4.0.Final
65 |
66 |
67 | org.mongodb
68 | mongodb-driver
69 | 3.2.2
70 |
71 |
72 |
73 |
74 | commons-lang
75 | commons-lang
76 | 2.6
77 |
78 |
79 | commons-beanutils
80 | commons-beanutils
81 | 1.9.2
82 |
83 |
84 | com.alibaba
85 | fastjson
86 | 1.2.30
87 |
88 |
89 | org.springframework.boot
90 | spring-boot-starter-tomcat
91 | provided
92 |
93 |
94 |
95 |
96 |
97 |
98 | org.springframework.boot
99 | spring-boot-maven-plugin
100 |
101 |
102 |
103 |
104 |
105 |
106 |
--------------------------------------------------------------------------------
/src/main/java/com/example/riskcontrol/RiskcontrolApplication.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol;
2 |
3 | import org.springframework.boot.SpringApplication;
4 | import org.springframework.boot.autoconfigure.SpringBootApplication;
5 |
6 | /**
7 | * Created by sunpeak on 2016/8/6.
8 | */
9 | @SpringBootApplication
10 | public class RiskcontrolApplication {
11 |
12 | public static void main(String[] args) {
13 | SpringApplication.run(RiskcontrolApplication.class, args);
14 | }
15 | }
16 |
--------------------------------------------------------------------------------
/src/main/java/com/example/riskcontrol/conf/DruidConfiguration.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.conf;
2 |
3 | import com.alibaba.druid.pool.DruidDataSource;
4 | import com.alibaba.druid.support.http.StatViewServlet;
5 | import com.alibaba.druid.support.http.WebStatFilter;
6 | import org.springframework.boot.bind.RelaxedPropertyResolver;
7 | import org.springframework.boot.web.servlet.FilterRegistrationBean;
8 | import org.springframework.boot.web.servlet.ServletRegistrationBean;
9 | import org.springframework.context.EnvironmentAware;
10 | import org.springframework.context.annotation.Bean;
11 | import org.springframework.context.annotation.Configuration;
12 | import org.springframework.core.env.Environment;
13 |
14 | import javax.sql.DataSource;
15 | import java.sql.SQLException;
16 |
17 | /**
18 | * Created by sunpeak on 2016/8/6.
19 | */
20 | @Configuration
21 | public class DruidConfiguration implements EnvironmentAware {
22 | private RelaxedPropertyResolver propertyResolver;
23 |
24 | @Override
25 | public void setEnvironment(Environment env) {
26 | this.propertyResolver = new RelaxedPropertyResolver(env, "spring.datasource.");
27 | }
28 |
29 |
30 | @Bean
31 | public ServletRegistrationBean druidServlet() {
32 | return new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
33 | }
34 |
35 | @Bean
36 | public DataSource druidDataSource() {
37 | DruidDataSource datasource = new DruidDataSource();
38 | datasource.setUrl(propertyResolver.getProperty("url"));
39 | datasource.setDriverClassName(propertyResolver.getProperty("driver-class-name"));
40 | datasource.setUsername(propertyResolver.getProperty("username"));
41 | datasource.setPassword(propertyResolver.getProperty("password"));
42 | datasource.setInitialSize(Integer.valueOf(propertyResolver.getProperty("initialSize")));
43 | datasource.setMinIdle(Integer.valueOf(propertyResolver.getProperty("minIdle")));
44 | datasource.setMaxWait(Long.valueOf(propertyResolver.getProperty("maxWait")));
45 | datasource.setMaxActive(Integer.valueOf(propertyResolver.getProperty("maxActive")));
46 | datasource.setPoolPreparedStatements(Boolean.valueOf(propertyResolver.getProperty("poolPreparedStatements")));
47 | datasource.setMaxPoolPreparedStatementPerConnectionSize(Integer.valueOf(propertyResolver.getProperty("maxPoolPreparedStatementPerConnectionSize")));
48 | try {
49 | datasource.setFilters(propertyResolver.getProperty("filters"));
50 | } catch (SQLException e) {
51 | e.printStackTrace();
52 | }
53 | return datasource;
54 | }
55 |
56 | @Bean
57 | public FilterRegistrationBean filterRegistrationBean() {
58 | FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
59 | filterRegistrationBean.setFilter(new WebStatFilter());
60 | filterRegistrationBean.addUrlPatterns("/*");
61 | filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
62 | return filterRegistrationBean;
63 | }
64 | }
--------------------------------------------------------------------------------
/src/main/java/com/example/riskcontrol/controller/BlackListController.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.controller;
2 |
3 | import com.example.riskcontrol.model.BlackList;
4 | import com.example.riskcontrol.model.CodeMap;
5 | import com.example.riskcontrol.model.RCRuntimeException;
6 | import com.example.riskcontrol.model.Result;
7 | import com.example.riskcontrol.service.BlackListService;
8 | import org.apache.commons.lang.StringUtils;
9 | import org.slf4j.Logger;
10 | import org.slf4j.LoggerFactory;
11 | import org.springframework.beans.factory.annotation.Autowired;
12 | import org.springframework.web.bind.annotation.RequestMapping;
13 | import org.springframework.web.bind.annotation.RequestMethod;
14 | import org.springframework.web.bind.annotation.RestController;
15 |
16 | import java.util.List;
17 |
18 | /**
19 | * Created by sunpeak on 2016/8/6.
20 | */
21 | @RestController
22 | @RequestMapping("/blacklist")
23 | public class BlackListController {
24 |
25 | private static Logger logger = LoggerFactory.getLogger(BlackListController.class);
26 |
27 | @Autowired
28 | private BlackListService blackListService;
29 |
30 |
31 | @RequestMapping(path = "/queryall", method = RequestMethod.GET)
32 | public Result> queryAll() {
33 | Result r = Result.success();
34 | try {
35 | r.setData(blackListService.queryAll());
36 | } catch (RCRuntimeException e) {
37 | r = Result.fail();
38 | r.setRetCode(e.getId());
39 | } catch (Exception e) {
40 | r = Result.fail();
41 | }
42 | return r;
43 | }
44 |
45 |
46 | @RequestMapping(value = "/add", method = RequestMethod.GET)
47 | public Result add(String dimension, String type, String value, String detail) {
48 | Result r = Result.success();
49 | try {
50 | if (StringUtils.isEmpty(dimension) || StringUtils.isEmpty(type) || StringUtils.isEmpty(value)) {
51 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
52 | }
53 |
54 | BlackList.EnumDimension enumDimension = BlackList.EnumDimension.valueOf(dimension.toUpperCase());
55 | if (enumDimension == null) {
56 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
57 | }
58 | BlackList.EnumType enumType = BlackList.EnumType.valueOf(type.toUpperCase());
59 | if (enumType == null) {
60 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
61 | }
62 |
63 | BlackList blackList = new BlackList();
64 | blackList.setDimension(enumDimension);
65 | blackList.setType(enumType);
66 | blackList.setValue(value);
67 | blackList.setDetail(detail);
68 | blackListService.pub(blackList);
69 | } catch (RCRuntimeException e) {
70 | r = Result.fail();
71 | r.setRetCode(e.getId());
72 | } catch (Exception e) {
73 | logger.error("添加黑名单失败", e);
74 | r = Result.fail();
75 | }
76 | return r;
77 | }
78 |
79 | }
80 |
--------------------------------------------------------------------------------
/src/main/java/com/example/riskcontrol/controller/ConfigController.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.controller;
2 |
3 | import com.example.riskcontrol.model.CodeMap;
4 | import com.example.riskcontrol.model.Config;
5 | import com.example.riskcontrol.model.RCRuntimeException;
6 | import com.example.riskcontrol.model.Result;
7 | import com.example.riskcontrol.service.ConfigService;
8 | import org.apache.commons.lang.StringUtils;
9 | import org.slf4j.Logger;
10 | import org.slf4j.LoggerFactory;
11 | import org.springframework.beans.factory.annotation.Autowired;
12 | import org.springframework.web.bind.annotation.RequestMapping;
13 | import org.springframework.web.bind.annotation.RequestMethod;
14 | import org.springframework.web.bind.annotation.ResponseBody;
15 | import org.springframework.web.bind.annotation.RestController;
16 |
17 | import java.util.List;
18 |
19 | /**
20 | * Created by sunpeak on 2016/8/6.
21 | */
22 | @RestController
23 | @RequestMapping("/config")
24 | public class ConfigController {
25 |
26 | private static Logger logger = LoggerFactory.getLogger(ConfigController.class);
27 |
28 | @Autowired
29 | private ConfigService configService;
30 |
31 | @RequestMapping(value = "/queryall", method = RequestMethod.GET)
32 | public Result> query() {
33 | Result r = Result.success();
34 | try {
35 | List configs = configService.queryAll();
36 | r.setData(configs);
37 | } catch (RCRuntimeException e) {
38 | r = Result.fail();
39 | r.setRetCode(e.getId());
40 | } catch (Exception e) {
41 | logger.error("查询配置失败", e);
42 | r = Result.fail();
43 | }
44 | return r;
45 | }
46 |
47 | @RequestMapping(value = "/update", method = RequestMethod.GET)
48 | public Result update(String key, String value) {
49 | Result r = Result.success();
50 | try {
51 | if (StringUtils.isEmpty(key) || StringUtils.isEmpty(value)) {
52 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
53 | }
54 |
55 | Config config = new Config();
56 | config.setKey(key);
57 | config.setValue(value);
58 | configService.pub(config);
59 | } catch (RCRuntimeException e) {
60 | r = Result.fail();
61 | r.setRetCode(e.getId());
62 | } catch (Exception e) {
63 | logger.error("配置更新失败", e);
64 | r = Result.fail();
65 | }
66 | return r;
67 | }
68 |
69 | }
70 |
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/src/main/java/com/example/riskcontrol/controller/KieController.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.controller;
2 |
3 | import com.example.riskcontrol.model.CodeMap;
4 | import com.example.riskcontrol.model.RCRuntimeException;
5 | import com.example.riskcontrol.model.Result;
6 | import com.example.riskcontrol.service.KieService;
7 | import org.apache.commons.lang.StringUtils;
8 | import org.slf4j.Logger;
9 | import org.slf4j.LoggerFactory;
10 | import org.springframework.beans.factory.annotation.Autowired;
11 | import org.springframework.web.bind.annotation.RequestMapping;
12 | import org.springframework.web.bind.annotation.RequestMethod;
13 | import org.springframework.web.bind.annotation.RestController;
14 |
15 | /**
16 | * Created by sunpeak on 2016/8/6.
17 | */
18 | @RestController
19 | @RequestMapping("/kie")
20 | public class KieController {
21 |
22 | private static Logger logger = LoggerFactory.getLogger(KieController.class);
23 |
24 | @Autowired
25 | private KieService kieService;
26 |
27 |
28 | @RequestMapping(value = "/addRule", method = RequestMethod.GET)
29 | public Result addRule(String rule) {
30 | Result r = Result.success();
31 | try {
32 | if (StringUtils.isEmpty(rule)) {
33 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
34 | }
35 | kieService.addRule("rules", rule);
36 | } catch (RCRuntimeException e) {
37 | r = Result.fail();
38 | r.setRetCode(e.getId());
39 | } catch (Exception e) {
40 | logger.error("添加规则失败", e);
41 | r = Result.fail();
42 | }
43 | return r;
44 | }
45 |
46 | @RequestMapping(value = "/removeRule", method = RequestMethod.GET)
47 | public Result removeRule(String rule) {
48 | Result r = Result.success();
49 | try {
50 | if (StringUtils.isEmpty(rule)) {
51 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
52 | }
53 | kieService.removeRule("rules", rule);
54 | } catch (RCRuntimeException e) {
55 | r = Result.fail();
56 | r.setRetCode(e.getId());
57 | } catch (Exception e) {
58 | logger.error("删除规则失败", e);
59 | r = Result.fail();
60 | }
61 | return r;
62 | }
63 | }
64 |
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/src/main/java/com/example/riskcontrol/controller/RiskController.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.controller;
2 |
3 | import com.example.riskcontrol.model.CodeMap;
4 | import com.example.riskcontrol.model.Event;
5 | import com.example.riskcontrol.model.RCRuntimeException;
6 | import com.example.riskcontrol.model.Result;
7 | import com.example.riskcontrol.service.ConfigService;
8 | import com.example.riskcontrol.service.KieService;
9 | import com.example.riskcontrol.util.EventFactory;
10 | import org.apache.commons.lang.StringUtils;
11 | import org.slf4j.Logger;
12 | import org.slf4j.LoggerFactory;
13 | import org.springframework.beans.factory.annotation.Autowired;
14 | import org.springframework.web.bind.annotation.RequestMapping;
15 | import org.springframework.web.bind.annotation.RequestMethod;
16 | import org.springframework.web.bind.annotation.RestController;
17 |
18 | /**
19 | * Created by sunpeak on 2016/8/6.
20 | */
21 | @RestController
22 | @RequestMapping("/riskcontrol")
23 | public class RiskController {
24 |
25 | private static Logger logger = LoggerFactory.getLogger(RiskController.class);
26 |
27 | @Autowired
28 | private KieService kieService;
29 |
30 | @Autowired
31 | private ConfigService configService;
32 |
33 |
34 | @RequestMapping(value = "/req", method = RequestMethod.GET)
35 | public Result req(String json) {
36 | Result r = Result.success();
37 | try {
38 | if (StringUtils.isEmpty(json)) {
39 | throw new RCRuntimeException(CodeMap.PARAM_ERROR);
40 | }
41 |
42 | Event event = EventFactory.build(json);
43 | if ("ON".equals(configService.query("SWITCH_RC"))) {
44 | kieService.execute(event);
45 | }
46 | r.setData(event);
47 | } catch (RCRuntimeException e) {
48 | r = Result.fail();
49 | r.setRetCode(e.getId());
50 | } catch (Exception e) {
51 | logger.error("业务风控分析失败", e);
52 | r = Result.fail();
53 | }
54 | return r;
55 | }
56 | }
57 |
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/src/main/java/com/example/riskcontrol/dao/MongoDao.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.dao;
2 |
3 | import com.mongodb.MongoClient;
4 | import com.mongodb.client.AggregateIterable;
5 | import com.mongodb.client.MongoCursor;
6 | import com.mongodb.client.MongoDatabase;
7 | import com.mongodb.client.model.Accumulators;
8 | import org.bson.Document;
9 | import org.springframework.beans.factory.annotation.Autowired;
10 | import org.springframework.beans.factory.annotation.Value;
11 | import org.springframework.stereotype.Repository;
12 |
13 | import java.util.Arrays;
14 | import java.util.LinkedHashMap;
15 | import java.util.List;
16 |
17 | import static com.mongodb.client.model.Accumulators.addToSet;
18 | import static com.mongodb.client.model.Aggregates.*;
19 |
20 | /**
21 | * Created by sunpeak on 2016/8/6.
22 | */
23 | @Repository
24 | public class MongoDao {
25 |
26 | @Autowired
27 | private MongoClient mongoClient;
28 |
29 | @Value("${spring.data.mongodb.database}")
30 | private String database;
31 |
32 | /**
33 | * 数据库连接
34 | *
35 | * @return
36 | */
37 | private MongoDatabase getDB() {
38 | return mongoClient.getDatabase(database);
39 | }
40 |
41 | /**
42 | * 新增document
43 | *
44 | * @param collectionName
45 | * @param document
46 | */
47 | public void insert(String collectionName, Document document) {
48 | getDB().getCollection(collectionName).insertOne(document);
49 | }
50 |
51 | /**
52 | * 统计次数
53 | *
54 | * @param collectionName
55 | * @param filter
56 | * @return
57 | */
58 | public int count(String collectionName, Document filter) {
59 | return (int) getDB().getCollection(collectionName).count(filter);
60 | }
61 |
62 | /**
63 | * 统计频数
64 | *
65 | * @param collectionName
66 | * @param match
67 | * @param distinctField
68 | * @return
69 | */
70 | public int distinctCount(String collectionName, Document match, String distinctField) {
71 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
72 | Arrays.asList(
73 | match(match)
74 | , group(null, addToSet("_array", "$" + distinctField))
75 | , project(new Document("_num", new Document("$size", "$_array")))
76 | )
77 | );
78 | Document first = aggregate.first();
79 | if (first != null) {
80 | return first.getInteger("_num");
81 | }
82 | return 0;
83 | }
84 |
85 | /**
86 | * 获取不一样的记录
87 | *
88 | * @param collectionName
89 | * @param match
90 | * @param distinctField
91 | * @return
92 | */
93 | public List distinct(String collectionName, Document match, String distinctField) {
94 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
95 | Arrays.asList(
96 | match(match)
97 | , group(null, addToSet("_array", "$" + distinctField))
98 | )
99 | );
100 | Document first = aggregate.first();
101 | if (first != null) {
102 | return (List) first.get("_array");
103 | }
104 | return null;
105 | }
106 |
107 |
108 | /**
109 | * 最大统计
110 | *
111 | * @param collectionName
112 | * @param match
113 | * @param maxField
114 | * @return
115 | */
116 | public Object max(String collectionName, Document match, String maxField) {
117 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
118 | Arrays.asList(
119 | match(match)
120 | , group(null, Accumulators.max("_max", "$" + maxField))
121 | )
122 | );
123 | Document first = aggregate.first();
124 | if (first != null) {
125 | return first.get("_max");
126 | }
127 | return null;
128 | }
129 |
130 | /**
131 | * 最小统计
132 | *
133 | * @param collectionName
134 | * @param match
135 | * @param minField
136 | * @return
137 | */
138 | public Object min(String collectionName, Document match, String minField) {
139 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
140 | Arrays.asList(
141 | match(match)
142 | , group(null, Accumulators.min("_min", "$" + minField))
143 | )
144 | );
145 | Document first = aggregate.first();
146 | if (first != null) {
147 | return first.get("_min");
148 | }
149 | return null;
150 | }
151 |
152 | /**
153 | * 合统计
154 | *
155 | * @param collectionName
156 | * @param match
157 | * @param sumField
158 | * @return
159 | */
160 | public Double sum(String collectionName, Document match, String sumField) {
161 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
162 | Arrays.asList(
163 | match(match)
164 | , group(null, Accumulators.sum("_sum", "$" + sumField))
165 | )
166 | );
167 | Document first = aggregate.first();
168 | if (first != null) {
169 | return first.getDouble("_sum");
170 | }
171 | return null;
172 | }
173 |
174 | /**
175 | * 平均统计
176 | *
177 | * @param collectionName
178 | * @param match
179 | * @param avgField
180 | * @return
181 | */
182 | public Double avg(String collectionName, Document match, String avgField) {
183 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
184 | Arrays.asList(
185 | match(match)
186 | , group(null, Accumulators.avg("_avg", "$" + avgField))
187 | )
188 | );
189 | Document first = aggregate.first();
190 | if (first != null) {
191 | return first.getDouble("_avg");
192 | }
193 | return null;
194 | }
195 |
196 |
197 | /**
198 | * 最早统计
199 | *
200 | * @param collectionName
201 | * @param match
202 | * @param firstField
203 | * @param sort
204 | * @return
205 | */
206 | public Object first(String collectionName, Document match, String firstField, Document sort) {
207 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
208 | Arrays.asList(
209 | match(match)
210 | , sort(sort)
211 | , group(null, Accumulators.first("_first", "$" + firstField))
212 | )
213 | );
214 | Document first = aggregate.first();
215 | if (first != null) {
216 | return first.get("_first");
217 | }
218 | return null;
219 | }
220 |
221 | /**
222 | * 最近统计
223 | *
224 | * @param collectionName
225 | * @param match
226 | * @param lastField
227 | * @param sort
228 | * @return
229 | */
230 | public Object last(String collectionName, Document match, String lastField, Document sort) {
231 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
232 | Arrays.asList(
233 | match(match)
234 | , sort(sort)
235 | , group(null, Accumulators.last("_last", "$" + lastField))
236 | )
237 | );
238 | Document first = aggregate.first();
239 | if (first != null) {
240 | return first.get("_last");
241 | }
242 | return null;
243 | }
244 |
245 |
246 | /**
247 | * 标准差统计
248 | *
249 | * @param collectionName
250 | * @param match
251 | * @param stdDevField
252 | * @return
253 | */
254 | public Double stdDevPop(String collectionName, Document match, String stdDevField) {
255 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
256 | Arrays.asList(
257 | match(match)
258 | , group(null, Accumulators.stdDevPop("_stdDev", "$" + stdDevField))
259 | )
260 | );
261 | Document first = aggregate.first();
262 | if (first != null) {
263 | return first.getDouble("_stdDev");
264 | }
265 | return null;
266 | }
267 |
268 |
269 | /**
270 | * 采样标准差统计
271 | *
272 | * @param collectionName
273 | * @param match
274 | * @param stdDevField
275 | * @param sampleSize
276 | * @return
277 | */
278 | public Double stdDevSamp(String collectionName, Document match, String stdDevField, int sampleSize) {
279 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
280 | Arrays.asList(
281 | match(match)
282 | , sample(sampleSize)
283 | , group(null, Accumulators.stdDevSamp("_stdDev", "$" + stdDevField))
284 | )
285 | );
286 | Document first = aggregate.first();
287 | if (first != null) {
288 | return first.getDouble("_stdDev");
289 | }
290 | return null;
291 | }
292 |
293 |
294 | /**
295 | * 根据统计字段计算统计结果(gte最小值)并排序
296 | *
297 | * @param collectionName 集合名
298 | * @param match match条件
299 | * @param field 统计字段
300 | * @param minCount 最小值
301 | * @return
302 | */
303 | public LinkedHashMap sortMap(String collectionName, Document match, String field, int minCount) {
304 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
305 | Arrays.asList(
306 | match(match)
307 | , group("$" + field, Accumulators.sum("_count", 1))
308 | , match(new Document("_count", new Document("$gte", minCount)))
309 | , sort(new Document("_count", -1))
310 | )
311 | );
312 |
313 | LinkedHashMap map = new LinkedHashMap();
314 | MongoCursor iterator = aggregate.iterator();
315 | while (iterator.hasNext()) {
316 | Document next = iterator.next();
317 | map.put(next.getString("_id"), next.getInteger("_count"));
318 | }
319 | return map;
320 | }
321 |
322 |
323 | /**
324 | * 统计值 是否在统计结果(gte最小值)中
325 | *
326 | * @param collectionName 集合名
327 | * @param match match条件
328 | * @param field 统计字段
329 | * @param value 统计值
330 | * @param minCount 最小值
331 | * @return
332 | */
333 | public boolean inSortMap(String collectionName, Document match, String field, Object value, int minCount) {
334 | AggregateIterable aggregate = getDB().getCollection(collectionName).aggregate(
335 | Arrays.asList(
336 | match(match.append(field, value))
337 | , group("$" + field, Accumulators.sum("_count", 1))
338 | , match(new Document("_count", new Document("$gte", minCount)))
339 | )
340 | );
341 |
342 | Document first = aggregate.first();
343 | return first == null ? false : true;
344 | }
345 |
346 | }
347 |
--------------------------------------------------------------------------------
/src/main/java/com/example/riskcontrol/dao/RedisDao.java:
--------------------------------------------------------------------------------
1 | package com.example.riskcontrol.dao;
2 |
3 | import org.springframework.dao.DataAccessException;
4 | import org.springframework.data.redis.connection.RedisConnection;
5 | import org.springframework.data.redis.core.RedisCallback;
6 | import org.springframework.data.redis.core.RedisTemplate;
7 | import org.springframework.stereotype.Repository;
8 | import redis.clients.jedis.Jedis;
9 | import redis.clients.jedis.JedisPubSub;
10 |
11 | import javax.annotation.Resource;
12 |
13 | /**
14 | * Created by sunpeak on 2016/8/6.
15 | */
16 | @Repository
17 | public class RedisDao {
18 |
19 | @Resource(name = "redisTemplate")
20 | private RedisTemplate redisTemplate;
21 |
22 |
23 | /**
24 | * 发布消息到指定的频道
25 | *
26 | * @param channel
27 | * @param message
28 | */
29 | public void publish(final String channel, final String message) {
30 | redisTemplate.execute(new RedisCallback