CN114185536A - Credit investigation data processing method and device, computer equipment and storage medium - Google Patents
Credit investigation data processing method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN114185536A CN114185536A CN202111506628.5A CN202111506628A CN114185536A CN 114185536 A CN114185536 A CN 114185536A CN 202111506628 A CN202111506628 A CN 202111506628A CN 114185536 A CN114185536 A CN 114185536A
- Authority
- CN
- China
- Prior art keywords
- credit investigation
- generation
- message
- variable
- investigation message
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011835 investigation Methods 0.000 title claims abstract description 182
- 238000003672 processing method Methods 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 121
- 238000000034 method Methods 0.000 claims abstract description 37
- 238000004590 computer program Methods 0.000 claims abstract description 24
- 238000007781 pre-processing Methods 0.000 claims abstract description 24
- 230000006870 function Effects 0.000 claims description 55
- 238000004364 calculation method Methods 0.000 claims description 22
- 230000008569 process Effects 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 9
- 230000014509 gene expression Effects 0.000 description 13
- 238000010586 diagram Methods 0.000 description 11
- 238000013500 data storage Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004883 computer application Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/36—Software reuse
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to a credit investigation data processing method, a credit investigation data processing device, a computer device, a storage medium and a computer program product. The method comprises the following steps: preprocessing the second generation credit investigation message by acquiring the second generation credit investigation message to obtain an initial credit investigation message; acquiring a variable processing flow configured by a front-end component; and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable. The front-end component configures a corresponding processing flow in advance, after the second-generation credit investigation message is received, the initial credit investigation message obtained through preprocessing is correspondingly processed according to the processing flow configured by the front-end component, namely, corresponding processing can be carried out according to different configurations of different business personnel to obtain corresponding variables, the running speed of the variable processing flow is accelerated, and the variable generation efficiency is improved.
Description
Technical Field
The present application relates to the field of computer applications, and in particular, to a credit investigation data processing method, apparatus, computer device, and storage medium.
Background
The credit investigation variable processing refers to credit investigation reports based on a structured XML (extensible markup language) format, data on the reports are extracted, the extracted data are subjected to classification induction and sorting, and some variables are generated after simple or complex calculation or direct definition without calculation. The variables can be applied to a business decision engine system, and variable support is provided for business decisions. The process based on credit variables is a complex problem.
In the traditional technology, development of corresponding codes is carried out on variable processing according to business needs, for example, a business person A carries out a series of processing on a credit investigation report to obtain a variable M, and then a set of corresponding codes needs to be developed for realization; business personnel B perform additional processing on the credit investigation report to obtain a variable N, and need to develop another set of corresponding codes to implement the variable N, and often need to process to obtain thousands of variables in an actual application scene, and if corresponding codes are correspondingly developed to implement corresponding processing procedures, the efficiency of variable generation is low.
Disclosure of Invention
In view of the above, it is necessary to provide a credit investigation data processing method, apparatus, computer device, computer readable storage medium and computer program product capable of improving variable generation efficiency.
In a first aspect, the application provides a credit investigation data processing method. The method comprises the following steps:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In one embodiment, a method for configuring a variable processing flow by a front-end component includes:
acquiring a logic function component selected by a front-end component page and related to a second generation credit investigation message, wherein the logic function component comprises at least one of logic operation, condition conversion, field interception, time difference calculation, time point calculation, time conversion, array calculation and object analysis;
and generating a variable processing flow according to the selected logic function component.
In one embodiment, the generating a variable processing flow according to the selected logical function component includes:
and arranging the selected logic function components according to a preset sequence to generate a variable processing flow, wherein the output of the previous logic function component in the variable processing flow is used as the input of the next logic function component.
In one embodiment, the preprocessing the second generation credit investigation message to obtain an initial credit investigation message includes:
and extracting the JSON object in the second generation credit report, and extracting non-repeated fields to the outermost layer of the object to obtain an initial credit report.
In one embodiment, when the logical functional component includes a logical operation, the acquiring the logical functional component related to the second generation credit message selected in the front-end component page includes:
acquiring a logic operation template selected on a front-end component page, and entering a logic operation template configuration interface;
acquiring a trigger operation of adding an attribute control in the logic operation template configuration interface;
displaying a second-generation field search window according to the trigger operation;
acquiring a target credit investigation message field name selected from the credit investigation message field names displayed in the second-generation field search window;
and automatically filling the selected target credit investigation message field name into the input box corresponding to the attribute adding control.
In one embodiment, the obtaining a target credit investigation message field name selected from the credit investigation message field names displayed in the second generation field search window includes:
obtaining the selection operation of the classification field of the credit investigation message displayed in the second-generation field search window;
acquiring search words input in a search box of the second-generation field search window;
searching in the classification field selected by the selection operation according to the search word to obtain a candidate credit investigation message field name related to the search word;
and selecting the name of the target credit investigation message field from the candidate credit investigation message field names.
In a second aspect, the application further provides a credit investigation data processing device. The device comprises:
the preprocessing module is used for acquiring a second-generation credit investigation message and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
the acquisition module is used for acquiring the variable processing flow configured by the front-end component;
and the operation module is used for correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
According to the credit investigation data processing method, the device, the computer equipment, the storage medium and the computer program product, the second-generation credit investigation message is obtained and preprocessed to obtain the initial credit investigation message; acquiring a variable processing flow configured by a front-end component; and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable. According to the method and the device, the corresponding processing flow is configured in advance through the front end component, after the second-generation credit investigation message is received, the initial credit investigation message obtained through preprocessing is correspondingly processed according to the processing flow configured by the front end component, and corresponding variables can be obtained through corresponding processing according to different configurations of different business personnel, so that the operation speed of the variable processing flow is increased, and the variable generation efficiency is improved.
Drawings
FIG. 1 is a diagram of an application environment of a credit data processing method in one embodiment;
FIG. 2 is a flow chart illustrating a credit investigation data processing method according to an embodiment;
FIG. 3 is a flow diagram that illustrates the processing flow of configuration variables by the front-end component, according to one embodiment;
FIG. 4 is a flow chart illustrating step 302 according to one embodiment;
FIG. 5 is a schematic diagram that illustrates a front end component page in one embodiment;
FIG. 6 is a diagram illustrating a logical operation template configuration interface in accordance with an embodiment;
FIG. 7 is a diagram of a second generation field search window in one embodiment;
FIG. 8 is a flow chart illustrating step 408 in one embodiment;
FIG. 9 is a block diagram of a credit data processing apparatus in one embodiment;
FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The credit investigation data processing method provided by the embodiment of the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104, or may be located on the cloud or other network server. The server 104 acquires a second-generation credit investigation message, and pre-processes the second-generation credit investigation message to obtain an initial credit investigation message; acquiring a variable processing flow configured by a front-end component, wherein the front-end component can be understood as a terminal 102; the server 104 performs corresponding processing on the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart car-mounted devices, and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like. The server 104 may be implemented as a stand-alone server or as a server cluster comprised of multiple servers.
In one embodiment, as shown in fig. 2, a credit investigation data processing method is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
The second generation credit investigation message includes basic information, certificate information, credit information and the like of a person or an enterprise, and the related data hierarchy structure is complicated. After the server acquires the second-generation credit investigation message data, the second-generation credit investigation message data is preprocessed to obtain initial credit investigation message data. The server can obtain the second-generation credit investigation message data periodically or in real time, and then preprocesses the second-generation credit investigation message to obtain the initial credit investigation message. The preprocessing comprises hierarchical analysis, data format unification, message type identification and the like. The hierarchical analysis means that a structure of the second generation credit report in which the layers are nested is combed to obtain a preset hierarchical structure. The data format is unified, for example, different time formats in the message are uniformly converted into a millisecond time format. The message type identification means that the type attribute of the message is judged according to the keyword or preset information in the message.
The server obtains a variable processing flow configured by the front-end component. The front-end component, here understood to be the terminal. The terminal compiles the configuration data into a variable processing flow by receiving the configuration data input by the user, and then sends the variable processing flow to the server, and correspondingly, the server receives the corresponding variable processing flow and stores the corresponding variable processing flow in the database. The variable processing flow refers to that after the corresponding variable processing flow is executed on the initial credit investigation message, the corresponding variable can be obtained. Different configuration data are correspondingly input by different users, correspondingly, different configuration data are received by the terminal and compiled into different variable processing flows, the different variable processing flows are sent to the server by the terminal, and the server processes the initial credit investigation message according to the received different variable processing flows, so that different second-generation credit investigation variables can be obtained.
And step 206, carrying out corresponding processing on the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
The server correspondingly processes the initial credit investigation message according to the acquired variable processing flow configured by the front-end component, namely, the initial credit investigation message is used as input, and the corresponding variable processing flow is executed and operated, so that the second generation credit investigation variable is obtained.
According to the credit investigation data processing method, the second-generation credit investigation message is preprocessed by acquiring the second-generation credit investigation message, so that an initial credit investigation message is obtained; acquiring a variable processing flow configured by a front-end component; and carrying out corresponding processing on the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable. According to the method and the device, the corresponding processing flow is configured in advance through the front end component, after the second-generation credit investigation message is received, the initial credit investigation message obtained through preprocessing is correspondingly processed according to the processing flow configured by the front end component, and corresponding variables can be obtained through corresponding processing according to different configurations of different business personnel, so that the operation speed of the variable processing flow is increased, and the variable generation efficiency is improved.
In one embodiment, as shown in fig. 3, a method for configuring a variable processing flow by a front-end component includes:
The front-end component page is provided with a plurality of logic function components related to the second generation credit investigation message, wherein the logic function components can be understood as individual operational expressions, one logic function component represents one operational expression, and one logic function component is selected to represent the operational expression corresponding to the selected logic function component. The server acquires a logic function component which is selected by a front-end component page and related to the second generation credit investigation message, wherein the logic function component comprises one or more of logic operation, condition conversion, field interception, time difference calculation, time point calculation, time conversion, array calculation and object analysis.
The logic operation comprises operators of addition, subtraction, multiplication, division, modulus, logarithm, rounding-up, rounding-down, rounding-up, maximum value, minimum value, current time, random number and the like, corresponding logic operation can be customized according to business requirements, and corresponding logic expressions can be configured through combination of a plurality of operators.
And (4) performing condition conversion, judging according to the set conditions, and returning a specified result, wherein the set conditions can be greater than, less than, greater than or equal to, less than or equal to, unequal to, including, not including, belonging to, not belonging to and the like.
And field interception for intercepting the specified character string, wherein the field interception mode comprises interception according to a separator, interception according to a position, interception according to a regular expression and the like. Wherein, intercepting according to the separator means identifying the corresponding separator, and the content before or after the separator can be intercepted; intercepting according to the position can be to obtain the character string after the appointed position; the regular expression is a logic formula for operating on character strings, namely, specific characters defined in advance and a combination of the specific characters are used for forming a 'regular character string', and the 'regular character string' is used for expressing a filtering logic for the character strings. The corresponding field intercepting mode can be selected according to specific requirements. For example, in order to obtain the birth time information of the person involved in the message, the identification number may be obtained in the intercepting field, and the corresponding birth time information may be intercepted in a position intercepting manner, that is, the 7 th to 14 th digits in the identification number are selected as the corresponding birth time information.
And time difference calculation for calculating the time difference between two times, wherein the time units can be uniformly set to be milliseconds, seconds, minutes, hours, days, months, years and the like, and the time formats comprise yyyy-MM-dd, yyyy-MM-dd HH: MM: ss, yyyyyyMMdd, yyyyMMddHHmms, yyy-MM-dd HH: MM: ss.SSS and the like.
Time point calculation is used for acquiring the year or month or day or week or hour or minute of the specified time, such as acquiring the year of the birth date of the user.
And time conversion is used for carrying out format or numerical value conversion on the time field. For example, the time in the millisecond timestamp format is converted to the yyyy-MM-dd HH: MM: ss format, and the result is increased by 3 days.
And array calculation for processing the array in the initial message. Such as computing a maximum, minimum, average, sum, count, de-duplication count, sort, filter, etc. on an array.
And the object analysis is used for directly taking values of the object attributes. For example, the parsed expression uses a jsonnpath expression, and for objects { "a": { "b": { "c": 1"}, the value of the c field can be taken out after the attribute path is configured with a.b.c.
And step 304, generating a variable processing flow according to the selected logic function component.
And the server generates a corresponding variable processing flow according to the selected logic function component. In this embodiment, a variable processing flow may be understood as a mixed operation expression, where a mixed operation expression at least includes one operation expression, and different selected logic function components correspond to different mixed operation expressions, that is, correspond to different variable processing flows. For example, if the selected logic function component has logic operation, field interception and time point calculation, the corresponding variable processing flow is a; if the selected logic function component has conditional conversion and time difference calculation, the corresponding variable processing flow is B. The selected logic function components have different orders, and correspondingly generated variable processing flows are different.
In the above embodiment, the server is taken as an example for explanation, but the corresponding scheme is also applicable to an application scenario in which a terminal is taken as an execution subject.
In one embodiment, the step 304 of generating a variable process flow according to the selected logical function component includes:
and arranging the selected logic function components according to a preset sequence to generate a variable processing flow, wherein the output of the previous logic function component in the variable processing flow is used as the input of the next logic function component.
In a possible implementation manner, the terminal receives the selected first logic function component to process the initial credit investigation message, and a first result identifier is obtained; processing the initial credit investigation message at the selected second logic function component to obtain a second result identifier; when the selected third logic function component processes the initial credit investigation message, the first result identifier and the second result identifier can be selected as the input of the third logic function component to obtain a third result identifier, and the data corresponding to the third result identifier is the second generation credit investigation variable obtained by the current variable processing flow.
In another possible implementation manner, the server receives the selected first logic function component to process the initial credit investigation message, so as to obtain a first result, wherein the first result is stored in a position corresponding to the first result identifier; when the selected second logic function component processes the initial credit investigation message, the first result is used as input to obtain a second result; and when the selected third logic function component processes the initial credit investigation message, taking the second result as input to obtain a third result, wherein the third result is the second generation credit investigation variable obtained by the variable processing flow.
In the above embodiments, only the generation manner of generating the variable processing flow according to the selected logic function component is illustrated, the selected logic function components in the specific application scenario may be more, and the combination may also be more complex, and the specific logic function components may be correspondingly selected and combined according to the application scenario requirements.
In one embodiment, the step 202 of preprocessing the second generation credit investigation message to obtain the initial credit investigation message includes:
and extracting the JSON object in the second generation credit report, and extracting non-repeated fields to the outermost layer of the object to obtain an initial credit report.
JSON (JavaScript Object Notation), a lightweight data exchange format, stores and represents data in a text format completely independent of programming languages. That is, JSON can convert a set of data represented in a JavaScript object into a string, and then can pass the string between networks or programs and restore it to a data format supported by each programming language when necessary. In this embodiment, the server first converts the received second-generation credit investigation message into a JSON object, performs structure combing and field extraction on the JSON object with nested layer layers, extracts non-repetitive fields into the outermost layer of the object, and can also extract JSON arrays in the message into the outermost layer, and finally only retains one-layer nested structure of the object to obtain an initial credit investigation message, so that quick access and selection of fields searched in the message can be realized, and quick processing of the message as a whole can be realized.
In one embodiment, as shown in fig. 4, when the logic function component includes a logic operation, acquiring the logic function component related to the second generation credit message selected in the front-end component page includes:
In an optional embodiment, a plurality of components are included in the front-end component page, wherein one of the components is a second-generation credit investigation template component for associating with a logic function component related to the second-generation credit investigation message, and can also be, for example, a credit worthiness report template component, a report form template component, and the like.
After the second generation credit investigation template component is selected, the logic operation template selected in the front end component page can be obtained, and a logic operation template configuration interface is entered, and a schematic diagram of the front end component page is shown in fig. 5.
And 406, displaying the second generation field search window according to the triggering operation.
And step 410, automatically filling the selected target credit investigation message field name into the input box corresponding to the attribute adding control.
In an optional embodiment, the logic operation template configuration interface is as shown in fig. 6, and may obtain a trigger operation of adding an attribute control in the logic operation template configuration interface, display a second-generation field search window according to the trigger operation, where a schematic diagram of the second-generation field search window is as shown in fig. 7, obtain a target credit message field name selected from the credit message field names displayed in the second-generation field search window, automatically fill the selected target credit message field name into an input box corresponding to the attribute addition control, and after obtaining a selected corresponding operator, the operator and the target credit message field name together form a corresponding expression.
In one embodiment, as shown in fig. 8, the step 408 of obtaining the target credit investigation message field name selected from the credit investigation message field names displayed in the second generation field search window includes:
And 806, searching in the classification field selected by the selection operation according to the search word to obtain the candidate credit investigation message field name related to the search word.
In one example, the second generation field search window is schematically illustrated as fig. 7, and the operation of selecting the classification field of the credit investigation message displayed in the second generation field search window is obtained, for example, the selected classification field includes basic report information, basic personal information, information summary, credit transaction details, and the like. The method comprises the steps of obtaining a search word input in a search box of a second-generation field search window, searching in a classification field selected by a selection operation according to the search word to obtain a candidate credit investigation message field name related to the search word, and selecting a target credit investigation message field name such as a certificate type, a certificate number, report time and the like from the candidate credit investigation message field name.
Through the variable processing flow configured by the front-end component in the embodiment, different business personnel can configure different variable processing flows by using the same second-generation credit investigation template component, so that corresponding variables are obtained, the reusability of the logic function component in the second-generation credit investigation template component is increased, and the development cost of the variable processing flow is reduced.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a credit investigation data processing device for implementing the credit investigation data processing method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the credit investigation data processing device provided below can refer to the limitations on the credit investigation data processing method in the above, and details are not described herein again.
In one embodiment, as shown in fig. 9, there is provided a credit data processing device, including: a preprocessing module 902, an obtaining module 904, and an operation module 906, wherein:
the preprocessing module 902 is configured to obtain a second-generation credit investigation message, and preprocess the second-generation credit investigation message to obtain an initial credit investigation message;
an obtaining module 904, configured to obtain a variable processing flow configured by a front-end component;
and the operation module 906 is used for correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In one embodiment, the credit investigation data processing apparatus further includes a configuration module, configured to implement a processing procedure for configuring variables by the front-end component:
acquiring a logic function component selected by a front-end component page and related to a second generation credit investigation message, wherein the logic function component comprises at least one of logic operation, condition conversion, field interception, time difference calculation, time point calculation, time conversion, array calculation and object analysis;
and generating a variable processing flow according to the selected logic function component.
In one embodiment, the configuration module is further to:
and arranging the selected logic function components according to a preset sequence to generate a variable processing flow, wherein the output of the previous logic function component in the variable processing flow is used as the input of the next logic function component.
In one embodiment, the preprocessing module 902 is further configured to:
and extracting the JSON object in the second generation credit report, and extracting non-repeated fields to the outermost layer of the object to obtain an initial credit report.
In one embodiment, when the logic function component comprises a logic operation, the configuration module is further configured to:
acquiring a logic operation template selected on a front-end component page, and entering a logic operation template configuration interface;
acquiring a trigger operation of adding an attribute control in the logic operation template configuration interface;
displaying a second-generation field search window according to the trigger operation;
acquiring a target credit investigation message field name selected from the credit investigation message field names displayed in the second-generation field search window;
and automatically filling the selected target credit investigation message field name into the input box corresponding to the attribute adding control.
In one embodiment, the configuration module is further to:
obtaining the selection operation of the classification field of the credit investigation message displayed in the second-generation field search window;
acquiring search words input in a search box of the second-generation field search window;
searching in the classification field selected by the selection operation according to the search word to obtain a candidate credit investigation message field name related to the search word;
and selecting the name of the target credit investigation message field from the candidate credit investigation message field names.
The various modules in the credit data processing device can be wholly or partially implemented by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing variable processing flow data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a credit data processing method.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
It should be noted that, the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A credit investigation data processing method is characterized by comprising the following steps:
acquiring a second-generation credit investigation message, and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
acquiring a variable processing flow configured by a front-end component;
and correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
2. The method of claim 1, wherein configuring, by a front-end component, a variable process flow comprises:
acquiring a logic function component selected by a front-end component page and related to a second generation credit investigation message, wherein the logic function component comprises at least one of logic operation, condition conversion, field interception, time difference calculation, time point calculation, time conversion, array calculation and object analysis;
and generating a variable processing flow according to the selected logic function component.
3. The method of claim 2, wherein generating a variable process flow from the selected logical functional component comprises:
and arranging the selected logic function components according to a preset sequence to generate a variable processing flow, wherein the output of the previous logic function component in the variable processing flow is used as the input of the next logic function component.
4. The method according to claim 1, wherein the pre-processing the second generation credit report to obtain an initial credit report comprises:
and extracting the JSON object in the second generation credit report, and extracting non-repeated fields to the outermost layer of the object to obtain an initial credit report.
5. The method according to claim 1, wherein when the logical function component comprises a logical operation, the acquiring the logical function component related to the second generation credit message selected in the front-end component page comprises:
acquiring a logic operation template selected on a front-end component page, and entering a logic operation template configuration interface;
acquiring a trigger operation of adding an attribute control in the logic operation template configuration interface;
displaying a second-generation field search window according to the trigger operation;
acquiring a target credit investigation message field name selected from the credit investigation message field names displayed in the second-generation field search window;
and automatically filling the selected target credit investigation message field name into the input box corresponding to the attribute adding control.
6. The method according to claim 5, wherein the obtaining of the target credit message field name selected from the credit message field names displayed in the second generation field search window comprises:
obtaining the selection operation of the classification field of the credit investigation message displayed in the second-generation field search window;
acquiring search words input in a search box of the second-generation field search window;
searching in the classification field selected by the selection operation according to the search word to obtain a candidate credit investigation message field name related to the search word;
and selecting the name of the target credit investigation message field from the candidate credit investigation message field names.
7. A credit investigation data processing device, characterized in that the device comprises:
the preprocessing module is used for acquiring a second-generation credit investigation message and preprocessing the second-generation credit investigation message to obtain an initial credit investigation message;
the acquisition module is used for acquiring the variable processing flow configured by the front-end component;
and the operation module is used for correspondingly processing the initial credit investigation message according to the variable processing flow to obtain a second-generation credit investigation variable.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111506628.5A CN114185536A (en) | 2021-12-10 | 2021-12-10 | Credit investigation data processing method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111506628.5A CN114185536A (en) | 2021-12-10 | 2021-12-10 | Credit investigation data processing method and device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114185536A true CN114185536A (en) | 2022-03-15 |
Family
ID=80543048
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111506628.5A Pending CN114185536A (en) | 2021-12-10 | 2021-12-10 | Credit investigation data processing method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114185536A (en) |
-
2021
- 2021-12-10 CN CN202111506628.5A patent/CN114185536A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Das et al. | Real-time sentiment analysis of twitter streaming data for stock prediction | |
| EP3038002B1 (en) | Interactive user interfaces | |
| US10572822B2 (en) | Modular memoization, tracking and train-data management of feature extraction | |
| US8234248B2 (en) | Tracking changes to a business object | |
| US20160321405A1 (en) | Extracting clinical care pathways correlated with outcomes | |
| US10078843B2 (en) | Systems and methods for analyzing consumer sentiment with social perspective insight | |
| WO2013050958A1 (en) | A method and a system to generate a user interface for analytical models | |
| CN110019116B (en) | Data tracing method, device, data processing equipment and computer storage medium | |
| CN113168576A (en) | Learning attribute graph representations edge-by-edge | |
| CN110347724A (en) | Abnormal behaviour recognition methods, device, electronic equipment and medium | |
| CN114065750A (en) | Commodity information matching and publishing method and device, equipment, medium and product thereof | |
| CN116795859A (en) | Data analysis method, device, computer equipment and storage medium | |
| CN110895548B (en) | Method and apparatus for processing information | |
| Hung et al. | Term deposit subscription prediction using spark MLlib and ML packages | |
| CN117251777A (en) | Data processing method, device, computer equipment and storage medium | |
| US11003688B2 (en) | Systems and methods for comparing data across data sources and platforms | |
| CN112162905A (en) | Log processing method and device, electronic equipment and storage medium | |
| CN114185536A (en) | Credit investigation data processing method and device, computer equipment and storage medium | |
| CN115774672A (en) | Test case generation method, test case generation device, server and storage medium | |
| CN114495137A (en) | Bill abnormity detection model generation method and bill abnormity detection method | |
| Bhatnagar | Data mining-based big data analytics: parameters and layered framework | |
| CN113901077A (en) | Method and system for producing entity object label, storage medium and electronic equipment | |
| KR20230059364A (en) | Public opinion poll system using language model and method thereof | |
| CN114116761A (en) | Variable processing method, variable processing device, computer equipment and storage medium | |
| CN113724007A (en) | Patient population selection method, device, equipment and computer-readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Applicant after: Zhaolian Consumer Finance Co.,Ltd. Address before: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Applicant before: MERCHANTS UNION CONSUMER FINANCE Co.,Ltd. Country or region before: China |
|
| CB02 | Change of applicant information |