CN117785982A - An online analysis and testing method for multiple data sources in credit scenarios - Google Patents
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Abstract
本发明公开了一种信贷场景下多数据源线上分析测试方法，包括以下步骤：S1：建立统一外部数据调试接口；S2：在用户发起交易时，按照配置的场景集合，额外做一次调用；S3：调用的决策流；S4：根据不同的场景编码，走到不同的决策流分支；S5：在每个不同的场景分支中，先去获取该场景下需要调试样本数量控制的配置；S6：在决策流调用数据源节点；S7：数据源返回相应查询结果，将结果赋值到决策流程中，并按需进行规则配置；S8：通过消息队列异步落库查询结果与中间变量数据。本发明将需要线上调试的数据源做统一的管理，可以快速统计出现有哪些数据源是在调试阶段提升便捷性。
The invention discloses an online analysis and testing method for multiple data sources in a credit scenario, which includes the following steps: S1: Establish a unified external data debugging interface; S2: When the user initiates a transaction, make an additional call according to the configured scenario set; S3: The called decision flow; S4: Go to different decision flow branches according to different scene encodings; S5: In each different scene branch, first obtain the configuration that needs to be debugged for sample number control in that scene; S6: Call the data source node in the decision-making flow; S7: The data source returns the corresponding query results, assigns the results to the decision-making process, and configures rules as needed; S8: Asynchronously drops the query results and intermediate variable data through the message queue. The present invention performs unified management of data sources that require online debugging, and can quickly count which data sources appear to improve convenience during the debugging phase.
Description
技术领域Technical field
本发明属于线上数据验证技术领域，特别是涉及一种信贷场景下多数据源线上分析测试方法。The present invention belongs to the technical field of online data verification, and in particular relates to an online analysis and testing method for multiple data sources in a credit scenario.
背景技术Background technique
根据《中华人民共和国中国人民银行法》《中华人民共和国个人信息保护法》等相关法律规定，金融机构不得与未取得合法征信业务资质的市场机构开展商业合作获取征信服务。因此在开展金融信贷业务时，如果需要使用新的厂商数源，就必须通过征信机构来接入，所以每次新增一个数源，就需要和厂商以及征信机构进行调试与线上验证，因此线上验证必须满足一定的生产样本数量，数据库存储足够多的数源数据样本。According to the relevant laws and regulations such as the Law of the People's Republic of China on the People's Bank of China and the Personal Information Protection Law of the People's Republic of China, financial institutions shall not engage in commercial cooperation with market institutions that have not obtained legal credit reporting qualifications to obtain credit reporting services. Therefore, when conducting financial credit business, if a new manufacturer's data source is needed, it must be accessed through a credit reporting agency. Therefore, every time a new data source is added, it is necessary to debug and verify online with the manufacturer and the credit reporting agency. Therefore, online verification must meet a certain number of production samples, and the database must store enough data source data samples.
目前，现有的数据源接入是在平台的每一条生产实时决策流中，嵌入数源模块，每条决策流都对应自己的需要调试的外数，当每个渠道的实时进件流量来的时候，调用对应渠道场景的决策流，并在决策流中实时调用外部数源后，跟随进件数据一起落库存储。但是这种方式存在以下问题：At present, the existing data source access is to embed the data source module in each real-time production decision-making flow of the platform. Each decision-making flow corresponds to its own external data that needs to be debugged. When the real-time incoming flow of each channel comes At that time, the decision-making flow corresponding to the channel scenario is called, and after calling the external data source in real-time in the decision-making flow, it is stored together with the incoming data. However, this approach has the following problems:
1、没有对需要线上调试的数据源做统一的管理，需要在系统的决策流中翻查，才可统计出现有哪些数据源是在调试阶段；1. There is no unified management of data sources that require online debugging. It is necessary to check in the system's decision-making flow to count which data sources are in the debugging stage;
2、调试数据源与生产实时决策流进件业务耦合在一起，当调试的数据源发生故障时，生产实时进件也会产生影响；2. The debugging data source is coupled with the production real-time decision flow input business. When the debugging data source fails, the production real-time input business will also be affected;
3、数据源用量使用监控缺失，容易造成数据费用超支；3. Lack of monitoring of data source usage can easily lead to data cost overspending;
4、配置缺乏灵活性，调试的数据源上下线操作复杂。4. The configuration lacks flexibility, and the online and offline operations of debugging data sources are complicated.
发明内容Summary of the invention
本发明主要解决的技术问题是目前方案没有对需要线上调试的数据源做统一的管理，同时调试数据源与生产实时决策流进件业务耦合在一起，容易造成数据费用超支，且配置缺乏灵活性，调试的数据源上下线操作复杂。The main technical problem solved by this invention is that the current solution does not provide unified management of data sources that require online debugging. At the same time, the debugging data sources are coupled with the production real-time decision-making flow input business, which easily causes data cost overruns and lacks flexible configuration. The debugging data source is complicated to operate online and offline.
为解决上述技术问题，本发明采用的一个技术方案是：In order to solve the above technical problems, one technical solution adopted by the present invention is:
一种信贷场景下多数据源线上分析测试方法，包括以下步骤：An online analysis and testing method for multiple data sources in a credit scenario, including the following steps:
S1)：建立统一外部数据调试接口：在风控类系统Controller模块内，新增一个可以统一调用固定决策流的接口，接收需要调试的外部数据源访问请求，并转发给对应的对策流接口；S1): Establish a unified external data debugging interface: In the Controller module of the risk control system, add an interface that can uniformly call the fixed decision flow, receive external data source access requests that need to be debugged, and forward them to the corresponding countermeasure flow interface;
S2)：在用户发起交易时，按照配置的场景集合，额外做一次调用：在信贷交易中，用户在客户端发起请求，通过前端系统的校验，发送到风控决策引擎系统的前置处理后，发送本身执行的决策流接口请求的同时，同时调用统一线上数据源调试决策流接口；S2): When the user initiates a transaction, an additional call is made according to the configured scenario set: In a credit transaction, the user initiates a request on the client, passes the verification of the front-end system, and is sent to the pre-processing of the risk control decision engine system Finally, while sending the decision flow interface request executed by itself, it also calls the unified online data source to debug the decision flow interface;
S3)：调用的决策流：将线上数据源调试决策流接口暴露，接收发送的请求参数到决策流中，其中应用模块为engine模块，由Controller模块调用、接收发送的请求参数到决策流中；S3): Called decision flow: Expose the online data source debugging decision flow interface and receive the sent request parameters into the decision flow. The application module is the engine module, which is called by the Controller module and receives the sent request parameters into the decision flow. ;
S4)：根据不同的场景编码，走到不同的决策流分支：统一线上数据源调试决策流配置了根据不同的场景编码配置不同的分支，Controller发送的请求参数中，带有businessCode，决策流根据对应的businessCode进入到不同的业务分支流程当中，并在当前分支下流转；S4): According to different scenario coding, go to different decision flow branches: Unify the online data source to debug the decision flow and configure different branches according to different scenario coding. The request parameters sent by the Controller include businessCode and decision flow. Enter different business branch processes according to the corresponding businessCode, and flow under the current branch;
S5)：在每个不同的场景分支中，通过系统流程中串行获取该场景下需要调试样本数量控制的配置；S5): In each different scenario branch, obtain the configuration that requires debugging sample number control in that scenario serially through the system process;
S6)：在决策流调用所需数据源节点：通过系统本身的HTTP调用外部数据源，在这笔调试数据源的流程中，仅仅会通过外部数据调用模块调用选中的数据源；S6): In the decision flow, call the required data source node: call the external data source through the system's own HTTP. In this debugging data source process, only the selected data source will be called through the external data call module;
S7)：数据源返回相应查询结果，将结果赋值到决策流程中，并按需进行规则配置；S7): The data source returns the corresponding query results, assigns the results to the decision-making process, and configures rules as needed;
S8)：通过消息队列异步落库查询结果与中间变量数据：从DSM查询到相关的外数调试信息后，会通过消息队列rocketMQ，消费端采用的数据库交互的模块为DBdata模块，再通过持久化组件mybatis与Oracle交互后，将需要存储的字段被结构化存储在oracle的数据表中。S8): Asynchronously store query results and intermediate variable data in the database through the message queue: After querying the relevant external data debugging information from DSM, it will be sent through the message queue rocketMQ. The database interaction module used by the consumer end is the DBdata module. After interacting with Oracle through the persistence component mybatis, the fields that need to be stored will be structured and stored in the Oracle data table.
进一步的，所述S1步骤中，所述调试接口还可以提供给应用内engine模块调用，所述决策流中，可以调用该接口进行调试还没有验证过的外部数据。Further, in the S1 step, the debugging interface can also be provided to the engine module in the application. In the decision-making flow, the interface can be called to debug external data that has not been verified.
进一步的，所述S2步骤中，前端系统的校验包括身份人信息、数据合法性。Further, in step S2, the verification of the front-end system includes identity information and data legitimacy.
进一步的，所述S4步骤中，businessCode分为以下几个分支：Further, in the S4 step, businessCode is divided into the following branches:
渠道1：授信；Channel 1: Credit;
渠道2：用信；Channel 2: Use credit;
渠道3：调额。Channel 3: Adjustment of quota.
进一步的，所述S5步骤中，进入到businessCode对应的分支流程后，首个节点是该分支所需要调试外部数源样本数量与到期时间的配置，当走到此节点即可获取本次需要配置的样本数量与到期时间以及批次信息。Furthermore, in the S5 step, after entering the branch process corresponding to businessCode, the first node is the configuration of the number and expiration time of external data source samples that need to be debugged by the branch. When you reach this node, you can obtain the required data for this time. Configured sample quantity and expiration time as well as batch information.
进一步的，所述S7步骤中，在执行到外部调试数据源调用节点时，智能决策引擎会调用thirdData模块，当配置为多个数据源时，通过线程池并发调用总时长即耗费时间最多的那个数据源。Further, in the S7 step, when executing the external debugging data source call node, the intelligent decision-making engine will call the thirdData module. When configured as multiple data sources, the total duration of concurrent calls through the thread pool is the one that consumes the most time. data source.
进一步的，所述外数调用的目的地址为统一的DSM，DSM接收到决策引擎的请求后，按照apiCode路由到不同的外数接口，再根据传送过来的客户信息，请求外数厂商接口，实时得到外数厂商提供的接口服务信息，并将该信息赋值到外数统一格式中并返回，其中信息还包括thirdData模块中传递过来的样本数量配置信息。Further, the destination address of the foreign number call is the unified DSM. After receiving the request from the decision engine, the DSM routes to different foreign number interfaces according to the apiCode, and then requests the foreign number manufacturer interface based on the transmitted customer information, in real time. Obtain the interface service information provided by the foreign number manufacturer, assign the information to the foreign number unified format and return it. The information also includes the sample number configuration information passed in the thirdData module.
进一步的，所述S8步骤中，生产者为决策引擎，传递的消息体包括查询的调试外部数据源信息和在决策流中所产生的中间变量。Further, in step S8, the producer is the decision engine, and the message body passed includes the queried debugging external data source information and the intermediate variables generated in the decision flow.
进一步的，所述S8步骤中通过应用组件并定义表字段，然后创建数据库表进行结构化存储。Further, in step S8, the components are applied and table fields are defined, and then a database table is created for structured storage.
本发明的有益效果：Beneficial effects of the present invention:
本发明将需要线上调试的数据源做统一的管理，可以快速统计出现有哪些数据源是在调试阶段提升便捷性，同时将调试数据源与生产实时决策流进件业务变成分支处理，当其中任何一个出现问题也不会影响其他的。This invention uniformly manages the data sources that require online debugging, and can quickly count which data sources appear to improve convenience during the debugging phase. At the same time, the debugging data sources and the production real-time decision-making flow input business are turned into branch processing. Problems with any one of them will not affect the others.
附图说明Description of the drawings
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without exerting creative efforts.
图1是本发明提供的系统模块调用流程示意图；Figure 1 is a schematic diagram of the system module calling flow provided by the present invention;
图2是本发明提供的线上数据源调试决策流流程示意图；Figure 2 is a schematic flow chart of the online data source debugging decision flow provided by the present invention;
具体实施方式Detailed ways
下面结合附图对本发明的较佳实施例进行详细阐述，以使本发明的优点和特征能更易于被本领域技术人员理解，从而对本发明的保护范围做出更为清楚明确的界定。The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, and the protection scope of the present invention can be more clearly defined.
具体实施例1：Specific embodiment 1:
如图1至图2所示，一种信贷场景下多数据源线上分析测试方法，包括包括以下步骤：As shown in FIG. 1 and FIG. 2 , a method for online analysis and testing of multiple data sources in a credit scenario includes the following steps:
S1)：建立统一外部数据调试接口：在风控类系统Controller模块(Java语法的一种函数)内，新增一个可以统一调用固定决策流的接口，接收需要调试的外部数据源访问请求，并转发给对应的对策流接口；具体的，所述调试接口还可以提供给应用内engine模块(Java语法的一种函数)调用，所述决策流中，可以调用该接口进行调试还没有验证过的外部数据；S1): Establish a unified external data debugging interface: In the risk control system Controller module (a function of Java syntax), add an interface that can uniformly call the fixed decision flow, receive external data source access requests that need to be debugged, and Forwarded to the corresponding countermeasure flow interface; specifically, the debugging interface can also be provided to the engine module (a function of Java syntax) in the application. In the decision flow, this interface can be called for debugging that has not yet been verified. external data;
S2)：在用户发起交易时，按照配置的场景集合，额外做一次调用：在信贷交易中，用户在客户端发起请求，通过前端系统的校验，发送到风控决策引擎系统的前置处理后，发送本身执行的决策流接口请求的同时，同时调用统一线上数据源调试决策流接口；具体的，前端系统的校验包括身份人信息、数据合法性；S2): When a user initiates a transaction, an additional call is made according to the configured scenario set: In a credit transaction, the user initiates a request on the client side, which is verified by the front-end system and sent to the risk control decision engine system for pre-processing. At the same time, the decision flow interface request for its own execution is sent, and the unified online data source debugging decision flow interface is called at the same time; specifically, the verification of the front-end system includes identity information and data legitimacy;
S3)：调用的决策流：将线上数据源调试决策流接口暴露，接收发送的请求参数到决策流中，其中应用模块为engine模块，由Controller模块调用、接收发送的请求参数到决策流中；S3): Called decision flow: Expose the online data source debugging decision flow interface and receive the sent request parameters into the decision flow. The application module is the engine module, which is called by the Controller module and receives the sent request parameters into the decision flow. ;
S4)：根据不同的场景编码，走到不同的决策流分支：统一线上数据源调试决策流配置了根据不同的场景编码配置不同的分支，Controller发送的请求参数中，带有businessCode(统一编号)，决策流根据对应的businessCode进入到不同的业务分支流程当中，并在当前分支下流转；具体的，所述S4步骤中，businessCode分为以下几个分支：S4): According to different scenario coding, go to different decision flow branches: the unified online data source debugging decision flow configuration configures different branches according to different scenario coding. The request parameters sent by the Controller include businessCode (unified number ), the decision flow enters different business branch processes according to the corresponding businessCode, and flows under the current branch; specifically, in the S4 step, the businessCode is divided into the following branches:
渠道1：授信；渠道2：用信；渠道3：调额。Channel 1: credit; Channel 2: credit; Channel 3: quota adjustment.
如businessCode为渠道1，那么，该笔调试外部数据源的请求，仅会走到渠道1所在的分支，并在分支1接下来的节点流转；If the businessCode is channel 1, then the request to debug the external data source will only go to the branch where channel 1 is located and flow to the node next to branch 1;
S5)：在每个不同的场景分支中，先去获取该场景下需要调试样本数量控制的配置；具体的，进入到businessCode对应的分支流程后，首个节点是该分支所需要调试外部数源样本数量与到期时间的配置，当走到此节点即可获取本次需要配置的样本数量与到期时间以及批次信息；S5): In each different scenario branch, first obtain the configuration that needs to be debugged for sample number control in that scenario; specifically, after entering the branch process corresponding to businessCode, the first node is the external data source that needs to be debugged for the branch. Configure the number of samples and expiration time. When you go to this node, you can get the number of samples, expiration time and batch information that need to be configured this time;
如apiCode＝WS_BR_035，count＝50000，expireTime＝20230731，batchNum＝1，继而将数据往下传递。For example, apiCode=WS_BR_035, count=50000, expireTime=20230731, batchNum=1, and then the data is passed down.
S6)：通过系统本身的HTTP(一种计算机协议)调用外部数据源，在这笔调试数据源的流程中，仅仅会通过外部数据调用模块调用选中的数据源；S6): Call external data sources through the system's own HTTP (a computer protocol). In this process of debugging data sources, only the selected data source will be called through the external data calling module;
S7)：数据源返回相应查询结果，将结果赋值到决策流程中，并按需进行规则配置；具体的，在执行到外部调试数据源调用节点时，智能决策引擎会调用thirdData模块(Java语法的一种函数)，当配置为多个数据源时，通过线程池并发调用总时长即耗费时间最多的那个数据源；所述外数调用的目的地址为统一的DSM(数字表面模型，digital surfacemodel)，DSM接收到决策引擎的请求后，按照apiCode路由到不同的外数接口，再根据传送过来的客户信息，请求外数厂商接口，实时得到外数厂商提供的接口服务信息，并将该信息赋值到外数统一格式中并返回，其中信息还包括thirdData模块中传递过来的样本数量配置信息；S7): The data source returns the corresponding query results, assigns the results to the decision-making process, and configures rules as needed; specifically, when executing the external debugging data source call node, the intelligent decision-making engine will call the thirdData module (Java syntax A function), when configured as multiple data sources, the total duration of concurrent calls through the thread pool is the data source that consumes the most time; the destination address of the foreign number call is a unified DSM (digital surface model, digital surface model) , after receiving the request from the decision engine, DSM routes to different foreign interfaces according to the apiCode, and then requests the foreign interface of the foreign manufacturer based on the transferred customer information, obtains the interface service information provided by the foreign manufacturer in real time, and assigns the information to the unified format of foreign numbers and returned. The information also includes the sample number configuration information passed in the thirdData module;
S8)：通过消息队列异步落库查询结果与中间变量数据：从DSM查询到相关的外数调试信息后，会通过消息队列rocketMQ(一种统一的处理消息引擎)，消费端采用的数据库交互的模块为DBdata模块(Java语法的一种函数)，再通过持久化组件mybatis(一种持久层框架)与Oracle(一种数据库)交互后，将需要存储的字段被结构化存储在oracle的数据表中。具体的，生产者为决策引擎，传递的消息体包括查询的调试外部数据源信息和在决策流中所产生的中间变量，其中，通过应用组件并定义表字段，然后创建数据库表进行结构化存储。S8): Query results and intermediate variable data asynchronously dropped into the database through the message queue: After querying the relevant foreign debugging information from the DSM, it will interact with the database used by the consumer through the message queue rocketMQ (a unified message processing engine) The module is the DBdata module (a function of Java syntax). After interacting with Oracle (a database) through the persistence component mybatis (a persistence layer framework), the fields that need to be stored are structured and stored in the Oracle data table. middle. Specifically, the producer is the decision engine, and the message body passed includes the debug external data source information of the query and the intermediate variables generated in the decision flow. Among them, the application component is used to define the table fields, and then a database table is created for structured storage. .
以上所述仅为本发明的实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。The above descriptions are only embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structural transformations made using the contents of the description and drawings of the present invention, or directly or indirectly applied in other related technical fields, are equally applicable. The principle is included in the patent protection scope of the present invention.
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