WO2020006930A1

WO2020006930A1 - Data forgery method and apparatus, and computer storage medium

Info

Publication number: WO2020006930A1
Application number: PCT/CN2018/111112
Authority: WO
Inventors: 彭明强
Original assignee: 平安科技（深圳）有限公司
Priority date: 2018-07-05
Filing date: 2018-10-20
Publication date: 2020-01-09
Also published as: CN109086145B; CN109086145A

Abstract

A data forgery method and apparatus, and a computer storage medium, which relate to the field of information technology, and of which main objectives are to be able to effectively reduce generated codes of forged data, reduce the generation of code redundancy, and improve the reusability and readability of generated codes. The method comprises: when a forged data acquisition request sent by a front end is received, calling a data type parsing module according to a preset specification file to parse a data type of forged data corresponding to the acquisition request (101); according to the preset specification file, calling a forged data generation module corresponding to the data type (102), wherein the preset specification file defines different data types, and forged data generation modules separately corresponding to the different data types; utilizing the called forged data generation module to generate the forged data (103). The foregoing method is applicable to data forgery.

Description

Data forgery method, device and computer storage medium

This application claims priority from a Chinese patent application filed with the Chinese Patent Office on July 5, 2018, with application number 2018107321514, and with the application name "Data Forgery Method, Device and Computer Storage Medium", the entire contents of which are incorporated in the application by reference in.

Technical field

The present application relates to the field of information technology, and in particular, to a method and device for forging data and a computer storage medium.

Background technique

With the continuous development of information technology, the front-end and back-end of the application system are usually developed in a separate way. In order to avoid the front-end waiting for the background to complete the development of the real interface and then perform integration testing to reduce the coupling of the front-end and back-end, false service systems have emerged. The fake service system can fake data and feed it back to the front end according to the fake development interface of the pre-appointed interface document, so that the front end can use the produced fake data to process the page display first, without waiting for the background interface development to complete and feedback the accurate data for page display processing. Perform integration tests.

At present, when a fake service system performs data forgery, a series of generation operations are required for each forged data acquisition request on the front end, and corresponding generation code is written to generate the requested forged data. However, generating fake data in the above manner will result in more generated codes for the fake data, resulting in code expansion, poor reusability, and low readability.

Summary of the invention

The present application provides a data forgery method, device, and computer storage medium, which are mainly capable of effectively reducing the generated code of forged data, reducing the redundancy of the generated code, and improving the reusability and readability of the generated code.

According to a first aspect of the present application, a data forgery method is provided and applied to a fake service system, including:

When receiving a falsified data acquisition request sent by the front end, calling a data type analysis module according to a preset specification file to analyze the data type of the falsified data corresponding to the acquisition request;

Calling a fake data generation module corresponding to the data type according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types, respectively;

The forged data is generated by using the called forged data generation module.

According to a second aspect of the present application, a data forgery device is provided, including:

A parsing unit, configured to, when receiving a falsified data acquisition request sent by the front end, call a data type analysis module according to a preset specification file to parse a data type of the falsified data corresponding to the fetch request;

An invoking unit for invoking a fake data generation module corresponding to the data type according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types respectively ;

A generating unit is configured to generate the forged data by using the called forged data generating module.

According to a third aspect of the present application, a computer non-volatile readable storage medium is provided, on which computer-readable instructions are stored, and when the computer-readable instructions are executed by a processor, the following steps are implemented:

When receiving a falsified data acquisition request sent by the front end, a data type analysis module is invoked to analyze the data type of the falsified data corresponding to the acquisition request according to a preset specification file; A data generation module, the preset specification file defines different data types, and fake data generation modules corresponding to the different data types respectively; and the called fake data generation module is used to generate the fake data.

According to a fourth aspect of the present application, a computer device is provided, including a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. When the processor executes the computer-readable instructions, Implement the following steps:

When receiving a falsified data acquisition request sent by the front end, a data type analysis module is invoked to analyze the data type of the falsified data corresponding to the acquisition request according to a preset specification file; and a falsification corresponding to the data type is invoked according to the preset specification file. A data generation module, the preset specification file defines different data types, and fake data generation modules corresponding to the different data types respectively; and the called fake data generation module is used to generate the fake data.

A data forgery method, device, and computer storage medium provided by the present application. Compared with the current need for a series of generation operations for each forged data acquisition request of the front end, compared with writing corresponding generation code, the present application receives a front end When sending a falsified data acquisition request, a data type analysis module can be called according to a preset specification file to analyze the data type of the falsified data corresponding to the acquisition request. At the same time, a fake data generation module corresponding to the data type can be called according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types respectively And can use the called forged data generation module to generate the forged data, thereby enabling the fake service system to uniformly process the forged data of the same data type through the forged data generation module of the same data type, without the need for each forged data separately Processing can further effectively reduce the generated code of falsified data, reduce the redundancy of generated code, and improve the reusability and readability of generated code.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and the descriptions thereof are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

FIG. 1 shows a flowchart of a data forgery method provided by an embodiment of the present application;

FIG. 2 shows a flowchart of another data forgery method provided by an embodiment of the present application;

3 is a schematic structural diagram of a data forgery device according to an embodiment of the present application;

4 is a schematic structural diagram of another data forgery device according to an embodiment of the present application;

FIG. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.

detailed description

Hereinafter, the present application will be described in detail with reference to the drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

For example, at present, when a fake service system performs data falsification, a series of generation operations are required for each falsified data acquisition request of the front end, and corresponding generation code is written to generate the requested falsified data. However, generating fake data in the above manner will result in more generated codes for the fake data, resulting in code expansion, poor reusability, and low readability.

In order to solve the above problem, an embodiment of the present application provides a data forgery method, which is applied to a fake service system. As shown in FIG. 1, the method includes:

101. When a falsified data acquisition request sent by a front end is received, a data type analysis module is called to analyze a data type of the falsified data corresponding to the acquisition request according to a preset specification file.

The preset specification file may be a JSON Schema specification file. JSON Schema is a specification that defines a JSON data structure based on the JSON format. It is an easy-to-understand human- and machine-readable document. You can know the data object structure returned by the background interface, and then develop your own page display. The preset specification file may define a data type parsing module. Specifically, the data type parsing module may be developed for technicians to predefine in the preset specification file, the data type parsing module supports Data types can be enumerable and can hold data of different data types. The data type analysis module may extract a data type in the acquisition request as a data type of the falsified data. The data type may be a null character type, a Boolean type, a string type, an array type, an object type, or other custom data types. For example, if the data type extracted by the data type analysis module from the acquisition request is an object type, it may be confirmed that the data type of the fake data requested by the front end is an object type.

It should be noted that when the user triggers the front-end computer-readable instructions to display the operation buttons or keys of the page, the fake service system can receive a falsified data acquisition request, and the front-end can obtain the current mode information in the configuration file. If the current mode information is False mode can generate falsified data acquisition requests.

102. Call a forged data generation module corresponding to the data type according to the preset specification file.

The preset specification file defines different data types, and fake data generation modules corresponding to the different data types. Specifically, the preset specification file may define a null character type and its corresponding forged data generation module, a Boolean type and its corresponding forged data generation module, a number type and its corresponding forged data generation module, a string type, and Its corresponding fake data generating module, array type and its corresponding fake data generating module, object type and its corresponding fake data generating module, or other custom data types and its corresponding fake data generating module.

For example, if the data type of the forged data requested by the front end is parsed as a null character type, a dummy data generation module of a null character type may be called according to a preset specification file to generate a null character as the fake data. If the data type of the bogus data requested by the front end is parsed, the boolean data generation module may be called according to a preset specification file, and “true” or “false” may be randomly generated as the bogus data. If the data type of the forged data requested by the front end is parsed, the digital type forged data generation module can be called according to a preset specification file, and a number is randomly generated as the forged data. If the data type of the forged data requested by the front end is parsed, the forged data generation module of the string type can be called according to a preset specification file, and a character string is randomly generated as the forged data. If the data type of the forged data requested by the front end is parsed, the forged data generation module of the array type may be called according to a preset specification file to generate an array as the forged data. If the data type of the forged data requested by the front end is parsed, the forged data generation module of the object type may be called according to a preset specification file to generate an object as the forged data.

103. Generate the forged data by using the called forged data generation module.

A data forgery method provided by the embodiment of the present application requires a series of generation operations for each falsified data acquisition request of the front end. Compared with writing a corresponding generation code, the embodiment of the present application When a falsified data acquisition request is made, a data type analysis module can be called according to a preset specification file to analyze the data type of the falsified data corresponding to the acquisition request. At the same time, a fake data generation module corresponding to the data type can be called according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types respectively And can use the called forged data generation module to generate the forged data, thereby enabling the fake service system to uniformly process the forged data of the same data type through the forged data generation module of the same data type, without the need for each forged data separately Processing can further effectively reduce the generated code of falsified data, reduce the redundancy of generated code, and improve the reusability and readability of generated code.

Further, in order to better explain the above-mentioned data forgery process, as a refinement and extension of the foregoing embodiment, an embodiment of the present application provides another data forgery method. As shown in FIG. 2, the method includes:

201. When a falsified data acquisition request sent by a front end is received, a data type analysis module is called according to a preset specification file to parse a data type of the falsified data corresponding to the acquisition request.

For the embodiment of the present application, the step of invoking the data type analysis module according to a preset specification file to parse the data type of the falsified data corresponding to the acquisition request may specifically include calling the data type analysis module to extract the acquisition according to the preset specification file. The data type in the data structure carried in the request; determining the extracted data type as the data type of the fake data. Specifically, the data type analysis module may extract key-value pairs in a data structure, and the key of the key-value pair is "type", and the value of the key-value pair may be the extracted data type.

For example, if the data structure includes a key-value pair: "type": "object", the data type parsing module may extract a value "object" of the key-value pair and determine "object" as the data type of the fake data, The forged data type may be an object type; if the data structure includes a key-value pair: "type": "string", the data type parsing module may extract the value of the key-value pair "string" and convert the "string" Determined as the data type of the forged data, the forged data type may be a string type.

202. Find a forged data generation module identifier corresponding to the data type from the preset specification file.

The preset specification file defines different data types, and the fake data generation module identifiers corresponding to the different data types, respectively. The different data types and the identifiers of the fake data generation modules corresponding to the different data types may be predefined in the specification file. The forged data generating modules corresponding to the different data types may be developed in advance by a technician, specifically, may be developed for generating code corresponding to a series of generating operations for writing data. The forged data generation module identifier may be the name of the forged data generation module. For example, the boolean type forged data generation module identifier may be: Boolean-Generating module, the Boolean type defined by the preset specification file and the corresponding forged data generation module. The way can be:

"Type": Boolean; "Generating module": Boolean-Generating module.

203: Call a forged data generation module corresponding to the data type according to the forged data generation module identification.

For the embodiment of the present application, in order to call a fake data generation module corresponding to the data type, the method may further include: extracting front-end address information carried by the acquisition request, and calling a fake service corresponding to the front-end address information An interface; using the fake service interface to call a fake data generation module corresponding to the data type according to the preset specification file, the fake service interface is defined according to an interface document agreed in advance by the front end and the background. The correspondence between the front-end address information and the fake service interface may be predefined. Specifically, the fake service interface may be used to find the identifier of the fake data generation module corresponding to the data type from the preset specification file, so as to call the fake data generation module corresponding to the data type. The interface document may include pre-agreed request field information, return field information, data type field information, and the like. For example, if the front-end address information is http: //abc.123.456: 789 / A, and the data type of the fake data requested by the front-end is a string type, then the fake service interface 1 can be called, and the fake service interface 1 can be used from the The preset specification file searches for the identity of the forged data generation module of the character string type, and invokes the forged data generation module of the character string to generate a random-length character string as feedback to the front-end forged data.

204. Generate the forged data by using the called forged data generation module.

For the embodiment of the present application, the step 204 may specifically include:

1. If the data type is a null character type, a null character forged data generation module is used to generate the null character forged data. For example, if the data type is a null character type, the generated fake data may be "null" or "null".

2. If the data type is a Boolean type, use a Boolean type forged data generation module to generate true or false forged data. For example, if the data type is a Boolean type, the generated fake data may be "true", "false", "true", or "false".

3. If the data type is a digital type, digital forged data generation module is used to generate digital forged data. For example, if the data type is a numeric type, the generated fake data may be "1" or "2".

4. If the data type is a character string type, use a character string type forged data generation module to generate character string forged data. For example, if the data type is a string type, the generated fake data may be "randomstring", "randstring", and so on.

5. If the data type is an array type, use the array-type fake data generation module to call the data specification defined in the corresponding data specification object item to generate the array fake data. Specifically, the data specification object item may be

The data specification objects can be "item1" and "item2". "Item1" and "item2" can call digital-type fake data generation modules to randomly generate "1" and "2". Therefore, if the data type is a digital type, the generated fake data may be “1, 2” and the like.

6. If the data type is an object type, use a fake data generation module of the object type to call the data specification defined in the corresponding data specification object attribute to generate the object fake data. Specifically, the data specification object attribute

The data specification objects can be "status" and "complete". The "status" part can call a string-type fake data generation module to randomly generate "randomstring", and the "complete" part can call a boolean fake data generation module to generate " "true", so if the data type is an object type, the generated fake data can be {"status": "randomstring", "complete": true}, etc.

For the embodiment of the present application, in order to complete the development of the application system as soon as possible, avoid the deployment of a real test environment, and wait for the background interface to complete the integration test, saving labor costs and time costs. After step 204, the method may further include: : Sending the forged data to the front end, so that the front end uses the forged data for testing.

205. When a data forgery extension instruction is received, obtain a newly added data type included in the data forgery extension instruction.

206. Define the newly added data type and its corresponding forged data generation module into the preset specification file.

In the actual use process, if there are some custom data types, and the technical staff has developed a fake data generation module of the custom data type, the front end can send a data forgery extension of the newly added data type to the fake service system. Instructions, such as the new data type can be: phone number data type. The fake service system can define the phone number data type and its corresponding forged data generation module into a preset specification file. For example, after expanding the phone number data type, the following can be added to the preset specification file:

In addition, the data type analysis module may also add a phone number data type, so that when a forged data acquisition request is received, whether the data type of the forged data is a phone number data type or not. If the data type of the forged data is parsed as a phone number data type, the generated forged data may be "13888888888". Similarly, other custom data types are extended to the fake service system in the same way.

Another data forgery method provided by the embodiment of the present application requires a series of generation operations for each falsified data acquisition request of the front end, and writing a corresponding generation code. Compared with the method of writing the corresponding generation code, the embodiment of the present application When obtaining a falsified data request, the data type analysis module can be called according to a preset specification file to analyze the data type of the falsified data corresponding to the fetch request. At the same time, a fake data generation module corresponding to the data type can be called according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types respectively And can use the called forged data generation module to generate the forged data, thereby enabling the fake service system to uniformly process the forged data of the same data type through the forged data generation module of the same data type, without the need for each forged data separately Processing can further effectively reduce the generated code of falsified data, reduce the redundancy of generated code, and improve the reusability and readability of generated code.

Further, as a specific implementation of FIG. 1, an embodiment of the present application provides a data forgery device. As shown in FIG. 3, the device includes: a parsing unit 31, a calling unit 32, and a generating unit 33. The device may specifically Part of a false service system.

The parsing unit 31 may be configured to, when receiving a falsified data acquisition request sent by the front end, call a data type analysis module according to a preset specification file to analyze the data type of the falsified data corresponding to the fetch request. The parsing unit 31 is a main function module in the device that, when receiving a falsified data acquisition request sent by the front end, calls a data type analysis module according to a preset specification file to analyze the data type of the falsified data corresponding to the fetch request.

The calling unit 32 may be configured to call a fake data generation module corresponding to the data type according to the preset specification file. The preset specification file defines different data types, and the different data types correspond to Forged data generation module; the invoking unit 32 is a main function module of the device that invokes a forged data generation module corresponding to the data type according to the preset specification file, and is also a core module.

The generating unit 33 may be configured to generate the forged data by using a called forged data generating module. The generating unit 33 is a main function module for generating the forged data by using the called forged data generating module in the device.

For the embodiment of the present application, in order to call a fake data generating module corresponding to the data type, the calling unit 32 may be specifically configured to find a fake data generating module corresponding to the data type from the preset specification file. Identification, the preset specification file defines different data types, and identifiers of forged data generation modules corresponding to the different data types; and invokes a forged data generation module corresponding to the data type according to the forged data generation module identification.

In addition, the invoking unit 32 may be specifically configured to extract the front-end address information carried by the acquisition request, and invoke a fake service interface corresponding to the front-end address information; using the fake service interface according to the preset specification The file calls a fake data generation module corresponding to the data type, and the fake service interface is defined according to an interface document agreed in advance by the front end and the background.

For the embodiment of the present application, in order to analyze the data type of the falsified data corresponding to the acquisition request, the parsing unit 31 may be specifically configured to call a data type analysis module according to a preset specification file to extract the data structure carried in the acquisition request. Data type; determining the extracted data type as the data type of the fake data.

In a specific application scenario, the generating unit 33 may be specifically configured to generate a null character forged data by using a dummy data generation module if the data type is a null character type; or if the data type is Boolean Type, use a boolean forged data generation module to generate true or false forged data; or if the data type is a digital type, use a digital type forged data generation module to generate digital forged data; or if the data type is For a character string type, use a forged data generation module of the character string type to generate forged string data; or if the data type is an array type, use the forged data generation module of the array type to call data defined in the corresponding data specification object item Generate array-forged data in a standard manner; or if the data type is an object type, use a data-forgery generation module of the object type to call the data specification defined in the corresponding data specification object attribute to generate the object-forged data.

The embodiments of the present application can also support the functions of pre-defined preset specification files and extended forged data types. The device further includes a definition unit 34 and an acquisition unit 35, as shown in FIG. 4.

The definition unit 34 may be configured to define the different data types and the fake data generation modules corresponding to the different data types into the preset specification file. The definition unit 34 is a main function module in the device that defines the different data types and the fake data generation modules corresponding to the different data types to the preset specification file.

The acquiring unit 35 may be configured to acquire a new data type included in the data forgery extension instruction when the data forgery extension instruction is received. The acquiring unit 35 is a main function module for acquiring a new data type included in the data forgery extension instruction when the data forgery extension instruction is received in the device.

The definition unit 34 may be further configured to define the newly added data type and its corresponding fake data generation module into the preset specification file. The definition unit 34 is a main functional module in the device that defines the newly added data type and its corresponding forged data generation module to the preset specification file.

For the embodiment of the present application, in order to be able to complete the development of the application system as soon as possible, avoid the deployment of a real test environment, and wait for the background interface to complete the integration test, saving labor costs and time costs, the device may further include a sending unit 36.

The sending unit 36 may be configured to send the forged data to the front end, so that the front end uses the forged data for testing. The sending unit 36 sends the forged data to the front end in the device, so that the front end uses the forged data for testing.

It should be noted that, for other corresponding descriptions of the functional modules involved in the data forgery device provided in the embodiment of the present application, reference may be made to the corresponding description of the method shown in FIG. 1, and details are not described herein again.

Based on the method shown in FIG. 1, correspondingly, an embodiment of the present application further provides a computer non-volatile readable storage medium having computer-readable instructions stored thereon. When the computer-readable instructions are executed by a processor, Implement the following steps: when receiving a falsified data acquisition request sent by the front end, call a data type analysis module according to a preset specification file to parse the data type of the falsified data corresponding to the acquisition request; and call the data with the data according to the preset specification file Forged data generation module corresponding to the type, the preset specification file defines different data types and forged data generation modules corresponding to the different data types respectively; and the called forged data generation module is used to generate the forged data.

Based on the foregoing embodiment of the method shown in FIG. 1 and the data forgery device shown in FIG. 3, an embodiment of the present application further provides a physical structure diagram of a computer device. As shown in FIG. 5, the computer device includes a processor 41. A memory 42, and computer-readable instructions stored on the memory 42 and executable on a processor, wherein the memory 42 and the processor 41 are both provided on a bus 43 when the processor 41 executes the computer-readable instructions Implement the following steps: when receiving a falsified data acquisition request sent by the front end, call a data type analysis module according to a preset specification file to parse the data type of the falsified data corresponding to the acquisition request; and call the data with the data according to the preset specification file Forged data generation module corresponding to the type, the preset specification file defines different data types and forged data generation modules corresponding to the different data types respectively; and the called forged data generation module is used to generate the forged data. The computer device further includes a bus 43 configured to be coupled to the processor 41 and the memory 42.

According to the technical solution of the present application, upon receiving a falsified data acquisition request sent by the front end, a data type analysis module can be called according to a preset specification file to analyze the data type of the falsified data corresponding to the acquisition request. At the same time, a fake data generation module corresponding to the data type can be called according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types respectively And can use the called forged data generation module to generate the forged data, thereby enabling the fake service system to uniformly process the forged data of the same data type through the forged data generation module of the same data type, without the need for each forged data separately Processing can further effectively reduce the generated code of falsified data, reduce the redundancy of generated code, and improve the reusability and readability of generated code.

Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present application may be implemented by a general-purpose computing device, and they may be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Above, optionally, they may be implemented with computer-readable instruction code executable by a computing device, so that they may be stored in a storage device and executed by the computing device, and in some cases, may be different from this. The steps shown or described are performed in sequence, either by making them into individual integrated circuit modules, or by making multiple modules or steps into a single integrated circuit module. As such, this application is not limited to any particular combination of hardware and software.

The above description is only a preferred embodiment of the present application, and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, or improvement made within the spirit and principle of this application shall be included in the protection scope of this application.

Claims

A data forgery method, which is characterized in that it is applied to a fake service system and includes:

When receiving a falsified data acquisition request sent by the front end, calling a data type analysis module according to a preset specification file to analyze the data type of the falsified data corresponding to the acquisition request;

Calling a fake data generation module corresponding to the data type according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types, respectively;

The forged data is generated by using the called forged data generation module.
The method according to claim 1, wherein the invoking a fake data generation module corresponding to the data type according to the preset specification file comprises:

Searching for a fake data generation module identifier corresponding to the data type from the preset specification file, the preset specification file defines different data types, and the fake data generation module identifiers corresponding to the different data types respectively;

Calling a forged data generation module corresponding to the data type according to the forged data generation module identification.
The method according to claim 1, wherein the invoking a fake data generation module corresponding to the data type according to the preset specification file comprises:

Extracting the front-end address information carried in the acquisition request, and calling a fake service interface corresponding to the front-end address information;

Use the fake service interface to call a fake data generation module corresponding to the data type according to the preset specification file. The fake service interface is defined according to an interface document agreed in advance by the front end and the background.
The method according to claim 1, wherein the calling a data type analysis module according to a preset specification file to parse a data type of the falsified data corresponding to the acquisition request comprises:

Calling a data type analysis module according to a preset specification file to extract a data type in a data structure carried by the acquisition request;

The extracted data type is determined as the data type of the fake data.
The method according to claim 1, wherein the generating the forged data by using a called forged data generation module comprises:

If the data type is a null character type, a null character forged data generation module is used to generate the null character forged data; or

If the data type is a Boolean type, using a Boolean type forged data generating module to generate true or false forged data; or

If the data type is a digital type, using a digital type forged data generating module to generate digital forged data; or

If the data type is a character string type, using a character string type forged data generating module to generate character string forged data; or

If the data type is an array type, using the array-type fake data generation module to call the data specification defined in the corresponding data specification object item to generate the array fake data; or

If the data type is an object type, the forged data generation module of the object type is used to invoke the data specification defined in the corresponding data specification object attribute to generate the object forged data.
The method according to claim 1, further comprising:

Defining the different data types and the fake data generation modules corresponding to the different data types into the preset specification file;

When a data forgery extension instruction is received, acquiring a new data type included in the data forgery extension instruction;

The newly added data type and its corresponding forged data generation module are defined in the preset specification file.
The method according to claim 1, wherein after generating the forged data by using the called forged data generation module, the method further comprises:

Sending the forged data to the front end so that the front end uses the forged data for testing.
A data forgery device, comprising:

A parsing unit, configured to, when receiving a falsified data acquisition request sent by the front end, call a data type analysis module according to a preset specification file to parse a data type of the falsified data corresponding to the fetch request;

An invoking unit for invoking a fake data generation module corresponding to the data type according to the preset specification file, the preset specification file defines different data types, and the fake data generation modules corresponding to the different data types respectively ;

A generating unit is configured to generate the forged data by using the called forged data generating module.
The device according to claim 8, wherein the calling unit is specifically configured to find a fake data generation module identifier corresponding to the data type from the preset specification file, and the preset specification file defines There are different data types, and identifiers of the fake data generation modules corresponding to the different data types respectively; and according to the identifiers of the fake data generation modules, a fake data generation module corresponding to the data type is called.
The device according to claim 8, wherein the calling unit is further configured to extract the front-end address information carried by the acquisition request, and call a fake service interface corresponding to the front-end address information; using the The fake service interface calls a fake data generation module corresponding to the data type according to the preset specification file, and the fake service interface is defined according to an interface document agreed in advance by the front end and the background.
The apparatus according to claim 8, wherein the parsing unit is specifically configured to call a data type parsing module to extract a data type in a data structure carried by the acquisition request according to a preset specification file; and to extract the data type A data type of the fake data is determined.
The device according to claim 8, wherein the generating unit is specifically configured to generate a null character forged data by using a null character type forged data generation module if the data type is a null character type; or If the data type is a Boolean type, a boolean forged data generation module is used to generate true or false forged data; or if the data type is a digital type, a digital type forged data generation module is used to generate digital forged data; or if If the data type is a string type, then use the forged data generation module of the string type to generate string forged data; or if the data type is an array type, use the array type forged data generation module to call the corresponding data specification object The data specification defined in the project generates array falsified data; or if the data type is an object type, a fake data generation module of the object type is used to call the data specification defined in the corresponding data specification object attribute to generate the object fake data.
The apparatus according to claim 8, further comprising:

A definition unit, configured to define the different data types and the fake data generation modules corresponding to the different data types into the preset specification file;

An obtaining unit, configured to obtain a new data type included in the data forgery extension instruction when the data forgery extension instruction is received;

The definition unit is further configured to define the newly added data type and its corresponding forged data generation module into the preset specification file.
The device according to claim 8, further comprising: a sending unit, configured to send the forged data to the front end, so that the front end uses the forged data for testing.
A computer non-volatile readable storage medium having computer readable instructions stored thereon, characterized in that when the computer readable instructions are executed by a processor, a data falsification method is implemented, including:

When receiving a falsified data acquisition request sent by the front end, a data type analysis module is invoked to analyze the data type of the falsified data corresponding to the acquisition request according to a preset specification file; and a falsification corresponding to the data type is invoked according to the preset specification file. A data generation module, the preset specification file defines different data types, and fake data generation modules corresponding to the different data types respectively; and the called fake data generation module is used to generate the fake data.
The computer non-volatile readable storage medium according to claim 15, characterized in that, when the computer-readable instructions are executed by a processor, the calling according to the preset specification file corresponding to the data type is called. Fake data generation module, including:

Searching for a fake data generation module identifier corresponding to the data type from the preset specification file, where the preset specification file defines different data types, and the fake data generation module identifiers corresponding to the different data types, respectively; The forged data generation module identifies calling a forged data generation module corresponding to the data type.
The computer non-volatile readable storage medium according to claim 15, characterized in that, when the computer-readable instructions are executed by a processor, the calling according to the preset specification file corresponding to the data type is called. Fake data generation module, including:

Extracting the front-end address information carried by the acquisition request, and calling a fake service interface corresponding to the front-end address information; using the fake service interface to call a fake data generation module corresponding to the data type according to the preset specification file The fake service interface is defined according to an interface document agreed in advance by the front end and the background.
A computer device includes a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor, and is characterized in that when the computer-readable instructions are executed by the processor, a method of forging data is implemented, including:

When receiving a falsified data acquisition request sent by the front end, a data type analysis module is invoked to analyze the data type of the falsified data corresponding to the acquisition request according to a preset specification file; and a falsification corresponding to the data type is invoked according to the preset specification file. A data generation module, the preset specification file defines different data types, and fake data generation modules corresponding to the different data types respectively; and the called fake data generation module is used to generate the fake data.
The computer device according to claim 18, wherein when the processor executes the computer-readable instructions, the processor is configured to call the fake data generation module corresponding to the data type according to the preset specification file, comprising: :

Searching for a fake data generation module identifier corresponding to the data type from the preset specification file, where the preset specification file defines different data types, and the fake data generation module identifiers corresponding to the different data types, respectively; The forged data generation module identifies calling a forged data generation module corresponding to the data type.
The computer device according to claim 18, wherein when the processor executes the computer-readable instructions, the processor is configured to call the fake data generation module corresponding to the data type according to the preset specification file, comprising: :

Extracting the front-end address information carried by the acquisition request, and calling a fake service interface corresponding to the front-end address information; using the fake service interface to call a fake data generation module corresponding to the data type according to the preset specification file The fake service interface is defined according to an interface document agreed in advance by the front end and the background.