CN113360300B - Interface call link generation method, device, equipment and readable storage medium - Google Patents

Abstract

The application relates to the technical field of interface testing and blockchain, and provides a method, a device and equipment for generating an interface call link and a readable storage medium, wherein the method comprises the following steps: acquiring a first interface information list; inputting the first interface information list into a preset parameter type recognition model to obtain the parameter type of each parameter in the first interface information list, and updating each parameter in the first interface information list based on the parameter type of each parameter to obtain a second interface information list; acquiring target interface information, and screening interface information associated with the target interface information from a second interface information list to obtain an associated interface information set; and generating a target interface call link according to the target interface information and each interface information in the associated interface information set. The application can improve the efficiency and accuracy of interface call link generation.

Description

Interface call link generation method, device, equipment and readable storage medium

Technical field

The present application relates to the field of interface testing, and in particular to an interface call link generation method, device, equipment and readable storage medium.

Background technique

In the process of software project development, the front-end terminal device needs to be connected to the back-end server (such as the underlying database). The terminal device needs to communicate with the server through the underlying interface defined by the developer (such as API (Application Programming Interface)). Access to provide microservices externally.

At present, there may be multiple levels between the terminal device and the server, and each level has a corresponding interface. The terminal device calls the underlying interface in the server through layer-by-layer calls. However, as far as the existing technology is concerned, the interface In the process of calling layer by layer, the interface of the next layer needs to be searched and called every time, and the generated calling links need to be tested, which makes the calling of the interface inefficient and consumes a lot of resources and manpower. Therefore, how to quickly and accurately generate interface calling links is an issue that needs to be solved urgently.

Contents of the invention

The main purpose of this application is to provide an interface call link generation method, device, equipment and readable storage medium, aiming to improve the efficiency and accuracy of interface call link generation.

In the first aspect, this application provides an interface call link generation method, including:

Get the first interface information list;

Input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list, where the parameter category identification model is a pre-trained neural network model;

Based on the parameter category of each parameter, update each parameter in the first interface information list to obtain a second interface information list;

Obtain target interface information, and filter out interface information associated with the target interface information from the second interface information list to obtain an associated interface information set;

A target interface calling link is generated according to the target interface information and each interface information in the associated interface information set.

In a second aspect, this application also provides an interface call link generation device. The interface call link generation device includes: an acquisition module, a generation module, an update module and a filtering module, wherein:

The acquisition module is used to obtain the first interface information list;

The generation module is used to input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list;

The update module is configured to update each parameter in the first interface information list based on the parameter category of each parameter to obtain a second interface information list;

The acquisition module is also used to obtain target interface information;

The screening module is configured to filter the interface information associated with the target interface information from the second interface information list to obtain an associated interface information set;

The generating module is also configured to generate a target interface calling link according to the target interface information and each interface information in the associated interface information set.

In a third aspect, the present application also provides a computer device, which computer device includes a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program is When the processor executes, it implements the steps of calling the link generation method through the interface as mentioned above.

In a fourth aspect, the present application also provides a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the above-mentioned interface call link generation method is implemented. A step of.

This application provides an interface call link generation method, device, equipment and readable storage medium. This application obtains a first interface information list and then inputs the first interface information list into a preset parameter category identification model, which can accurately Obtain the parameter category of each parameter in the first interface information list, update each parameter in the first interface information list based on the parameter category, and obtain the second interface information list with clear parameter categories, so that The subsequent screening of associated interface information is more accurate, the target interface information is obtained, and the interface information associated with the target interface information is screened out from the second interface information list, and the associated interface information set can be accurately obtained. Through the target interface information and associated interface information The centralized information of each interface can accurately generate the target interface call link. Through the above solution, the efficiency and accuracy of interface call link generation can be improved.

Description of the drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present application, which are of great significance to this field. Ordinary technicians can also obtain other drawings based on these drawings without exerting creative work.

Figure 1 is a schematic flowchart of the steps of an interface call link generation method provided by an embodiment of the present application;

Figure 2 is a schematic flowchart of the sub-steps of the interface call link generation method in Figure 1;

Figure 3 is a schematic block diagram of an interface call link generation device provided by an embodiment of the present application;

Figure 4 is a schematic block diagram of a sub-module of the interface call link generation device in Figure 3;

FIG. 5 is a schematic structural block diagram of a computer device provided by an embodiment of the present application.

The realization of the purpose, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all contents and operations/steps, nor are they necessarily performed in the order described. For example, some operations/steps can also be decomposed, combined or partially merged, so the actual order of execution may change according to actual conditions.

Embodiments of the present application provide an interface call link generation method, device, equipment and readable storage medium. Among them, the interface call link generation method can be applied to terminal devices, which can be electronic devices such as mobile phones, tablet computers, notebook computers, desktop computers, personal digital assistants, and wearable devices.

Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The following embodiments and features in the embodiments may be combined with each other without conflict.

Please refer to FIG. 1 , which is a schematic flowchart of steps of an interface call link generation method provided by an embodiment of the present application.

As shown in Figure 1, the interface call link generation method includes steps S101 to S105.

Step S101: Obtain the first interface information list.

The first interface information list is an interface information list composed of interface parameters of each interface. The arrangement of the parameters in the first interface information list can be set according to the actual situation, and this application does not specifically limit this.

In an embodiment, as shown in Figure 2, step S101 includes sub-steps S1011 to sub-step S1013.

Sub-step S1011: Obtain at least one data packet.

When the terminal device is running, the data packets called during the operation of the terminal device are obtained through a preset packet capture tool, and at least one data packet is obtained. The preset packet capture tool can be selected according to the actual situation. For example, the preset packet capture tool can be the Fiddler packet capture tool. Through the preset packet capture tool, the data packets during the operation of the terminal device can be accurately obtained.

For example, when the computer is downloading data, the Fiddler packet capture tool is used to extract the data packets that the computer is downloading, and then at least one data packet when the computer is downloading is obtained. The number of data packets obtained can be set according to the actual situation. Set to obtain only one data packet, or you can set to obtain multiple data packets.

Sub-step S1012: Parse at least one of the data packets to obtain message information of at least one interface.

Convert the data packet into text format, obtain the data packet text, parse the data packet text, and obtain the message information of the interface. The message information includes the request method of the interface, URL (uniform resource locator, unified resource locating system) ), first header information, sending body information, second header information and return body information.

It should be noted that the amount of packet information generated for the interface is determined based on the number of interfaces and the number of data packets in the data packet. For example, if a data packet contains only one interface, only the message information of one interface can be parsed; if a data packet contains two interfaces, the message information of two interfaces can be parsed; if there are two data packets and each The data packet includes two interfaces, and the message information of the four interfaces is parsed.

Sub-step S1013: Generate a first interface information list according to the message information of at least one of the interfaces.

Parse the message information of at least one interface to obtain the request method, URL, first header information, sending body information, second header information and return body information of at least one interface; based on the request method, URL of at least one interface , the first header information, the sending body information, the second header information and the return body information, to generate a first interface information list. By parsing the message information, the interface's request method, URL, first header information, sending body information, second header information and return body information can be accurately obtained. According to the interface's request method, URL, first header information The first interface information list can be generated from the information, sending body information, second header information and return body information.

In one embodiment, the method of parsing the message information of at least one interface to obtain the request mode, URL, first header information, sending body information, second header information and return body information of at least one interface can be as follows : Obtain the request mode identifier, URL identifier, first header information identifier, sender information identifier, second header information identifier, and return body information identifier of the interface in the message information, and obtain the preset request method identifier, URL identifier, Between the first header information identifier, the sending body information identifier, the second header information identifier and the return body information identifier and the request method, URL, first header information, sending body information, second header information and return body information The mapping relationship table of the interface is obtained based on the mapping relationship table and the request mode identifier, URL identifier, first header information identifier, sender information identifier, second header information identifier, and return body information identifier of the interface in the message information. Request method, URL, first header information, sending body information, second header information and return body information. Among them, the mapping relationship table is established in advance. The message information can be accurately determined through the mapping relationship table and the request mode identifier, URL identifier, first header information identifier, sender information identifier, second header information identifier, and return body information identifier of the interface in the message information. Includes the request method, URL, first header information, sending body information, second header information and return body information of the interface.

In an embodiment, based on the request method, URL, first header information, sending body information, second header information and return body information of at least one interface, the method of generating the first interface information list may be: The request method, URL, first header information, sending body information, second header information and return body information are converted into key-value pair form, the key-value pair information of the interface is obtained, and the key-value pair information of the interface is parsed into dictionary form and stored in the interface information list to obtain the first interface information list. By performing format conversion on the parameters of the interface, the convenience of parameter storage is improved.

Step S102: Input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list, where the parameter category identification model is a pre-trained neural network Model.

Among them, the preset parameter category recognition model may include long short-term memory artificial neural network, convolutional neural network model, recurrent convolutional neural network and other neural network models. The parameter category includes the first parameter category, the second parameter category and the third parameter category. The first parameter category is the instruction parameter, the second parameter category is the parameters required by the user, such as user account and password, and the third parameter category is association. parameter.

In one embodiment, the preset parameter category recognition model includes an input layer, a hidden layer and an output layer. The input layer includes a first preset number of neural networks, the hidden layer includes a second preset number of neural networks, and the output layer includes a third preset number of neural networks. The first preset number, the second preset number and the third preset number can be set according to the actual situation. This application does not specifically limit this. For example, the first preset number can be 2, and the second preset number can be 2. The number can be 3, and the third preset number can be 2. When the neural network is a long short-term memory artificial neural network, the input layer includes a two-layer long short-term memory artificial neural network, and the hidden layer includes a three-layer long short-term memory artificial neural network. Neural network, the output layer includes a double-layer long short-term memory artificial neural network.

In one embodiment, the first interface information list is input to the input layer to obtain a first vector; the first vector is input to the hidden layer to obtain a second vector; the second vector is input to the output layer to obtain The parameter category of each parameter in the first interface information list. By inputting the first interface information list into the preset parameter category identification model, the parameter category of each parameter in the first interface information list can be accurately determined.

In one embodiment, the method of updating the parameters in the preset parameter category recognition model may be: inputting the first interface information list into the input layer to obtain the first vector, inputting the first vector into the hidden layer to obtain the second vector, Input the second vector to the output layer to obtain the parameter category of each parameter in the first interface information list, and determine the target based on each parameter in the first interface information list and the parameter category of each parameter in the first interface information list. Loss value, based on the target loss value, determine whether the preset parameter category recognition model has converged. If the preset parameter category recognition model has not converged, update the parameters of the preset parameter category recognition model and continue to train the updated preset Parameter categories identify the model until convergence.

In one embodiment, according to each parameter in the first interface information list and the parameter category of each parameter in the first interface information list, the method of determining the target loss value may be: adding each parameter in the first interface information list The parameters are input into the softmax function to get the first parameter, and the logarithm of the first parameter is taken to get the second parameter. The parameter category of each parameter in the first interface information list and the second parameter are added together to get each item. For the third parameter of the parameter, the third parameter is averaged and inverted to obtain the target loss value.

In one embodiment, the method of determining whether the preset parameter category recognition model has converged based on the target loss value may be: determining whether the target loss value is less than the preset threshold, and if the target loss value is less than the preset threshold, determining the preset parameter The category recognition model converges; if the target loss value is greater than or equal to the preset threshold, it is determined that the preset parameter category recognition model has not converged. The preset threshold can be set according to actual conditions, which is not specifically limited in this application. For example, the preset threshold can be set to 0.25. By determining whether the target loss value is less than the preset threshold, the convergence of the preset parameter category recognition model can be determined, improving the accuracy of model recognition.

Step S103: Update each parameter in the first interface information list based on the parameter category of each parameter to obtain a second interface information list.

After determining the parameter category of each parameter in the first interface information list, a preset parameter update rule is obtained, and based on the preset parameter update rule, each parameter in the first interface information list is updated to obtain the update The second interface information list after. Among them, the preset parameter update rules can be set according to actual conditions. Updating the parameters in the first interface information list through preset parameter update rules can improve the accuracy of subsequent generation of interface links.

For example, the preset parameter update rules are: parameters of the first parameter category retain their original parameter values, parameters of the second parameter category are updated to input_remark, and parameters of the third parameter category are updated to svrid. For example, each parameter in the first interface information list is {"page":1,"remark":"xxxx","svrid":111111}, where page is the parameter of the first parameter category and remark is the second parameter category. Parameters of the parameter category, svrid is a parameter of the third parameter category. According to the preset parameter update rules, the parameters in the first interface information list are updated, and each parameter in the updated second interface information list is obtained: {"page":1,"remark":input_remark,"svrid":svrid}.

Step S104: Obtain target interface information, and filter out interface information associated with the target interface information from the second interface information list to obtain an associated interface information set.

Wherein, the associated interface information set at least includes first associated interface information and second associated interface information, the first associated interface information is associated with the target interface information, the second associated interface information is associated with the first associated interface information, and the first associated interface information includes The associated parameters in the target interface information, the second associated interface information includes the associated parameters in the first associated interface information.

In an embodiment, the method of obtaining the target interface information may be: finding the last piece of interface information from the second interface information list, and using the last piece of interface information as the target interface information. Or obtain the interface call link request, extract the interface information from the interface call link request, and use the extracted interface information as the target interface information. Of course, there are other ways to obtain the target interface information, which are not specifically limited in the embodiments of this application. For example, you can also find the penultimate interface information from the second interface information list, and use the penultimate interface information as Target interface information.

In one embodiment, the interface information associated with the target interface information is filtered out from the second interface information list, and the associated interface information set is obtained by: extracting the associated parameters in the sender information of the target interface information, and associating The parameters are used as target parameters; based on the target parameters, the interface information associated with the target interface information is filtered from the second interface information list to obtain an associated interface information set. The associated interface information can be accurately found through the association parameters in the sender information of the target interface information.

In one embodiment, based on the target parameters, the interface information associated with the target interface information is filtered from the second interface information list. The method of obtaining the associated interface information set may be: filtering the return body information from the second interface information list. The interface information of the target parameters exists in the interface information, and the selected interface information is added to the associated interface information set to update the associated interface information set; the associated parameters in the sender information of the selected interface information are extracted, and the associated parameters are updated based on the updated target parameters, filter out the interface information with updated target parameters in the returned body information from the second interface information list, and add the selected interface information to the associated interface information set to update the associated interface information Set, traverse all the interface information in the second interface information list, until there is no identical associated parameter, then the associated interface information set has been updated. Through layer-by-layer recursion of the associated parameters of the target interface information, the interface information associated with the target interface information can be found, and the associated interface information set can be obtained.

Exemplarily, the second interface information list includes interface information 1, interface information 2, interface information 3, interface information 4, interface information 5, interface information 6, interface information 7, interface information 8, interface information 9 and interface information 10, Among them, interface information 2 is the target interface information, the associated parameter in the sender information of interface information 2 is associated parameter 2, and the returned body information of interface information 7 includes associated parameter 2, then interface information 7 is associated interface information, Add interface information 7 to the associated interface information set. The associated parameter in the sender information of interface information 7 is associated parameter 7. If it is found that the return body information of interface information 5 includes associated parameter 7, then interface information 5 is associated interface information. Add interface information 5 to the associated interface information set. The associated parameter in the sender information of interface information 5 is association parameter 5. If there is no interface information in the second interface information list, the return body information of the interface information includes association parameter 5, then the associated interface The information set has been updated, and the associated interface information set includes interface information 7 and interface information 5.

Step S105: Generate a target interface calling link according to the target interface information and each interface information in the associated interface information set.

After obtaining the associated interface information set, determine the splicing order of the target interface information and each interface information in the associated interface information set; according to the splicing order, splice the target interface information and each interface information in the associated interface information set to obtain the target interface Call link. By splicing the target interface information and each interface information in the associated interface information set, the target interface call link can be accurately obtained.

In one embodiment, the method of determining the splicing order of the target interface information and each interface information in the associated interface information set may be: obtaining the associated parameters of the sender information of the target interface; obtaining the sender information of each interface in the associated interface information set. The associated parameters of the body information and the associated parameters of the returned body information; determine the target interface based on the associated parameters of the sending body information of the target interface, the associated parameters of the sending body information of each interface in the associated interface information set, and the associated parameters of the returned body information. Information and the splicing order of each interface information in the associated interface information set.

Exemplarily, the associated interface information set includes interface information 7 and interface information 5, the target interface information is interface information 2, the sender information of interface information 2 includes association parameter 2, and the sender information of interface information 7 includes association parameter 7, The return body information includes association parameter 2, and the return information of interface information 5 includes 7. Therefore, the splicing order of interface information is interface information 5, interface information 7, and interface information 2.

In one embodiment, after obtaining the target interface call link, the target interface operation detection parameters are generated according to the target interface call link, the target interface information operation log is obtained, and the target is determined based on the target interface information operation log and the target interface operation detection parameters. Whether an error occurs during the operation of the interface. If an error occurs during the operation, an interface call error warning will be generated to remind the user that an error occurs in the interface information call. Detect the operation of the interface through the target interface call link to improve the accuracy and security of data transmission.

In one embodiment, based on the target interface information operation log and the target interface operation detection parameters, the method of determining whether an error occurs during the operation of the target interface may be: determining whether the operation parameters in the target interface information operation log and the target interface operation detection parameters are the same. , if the running parameters in the target interface information running log are the same as the target interface running detection parameters, then it is determined that no error occurred during the operation of the target interface. If the running parameters in the target interface information running log are different from the target interface running detection parameters, then the target is determined An error occurred while the interface was running.

The interface call link generation method provided in the above embodiment can accurately obtain each parameter in the first interface information list by obtaining the first interface information list and then inputting the first interface information list into the preset parameter category identification model. parameter category, based on the parameter category of each parameter, update each parameter in the first interface information list, obtain a second interface information list with clear parameter categories, obtain the target interface information, and obtain the target interface information from the second interface information list The interface information associated with the target interface information is screened out, and the associated interface information set can be accurately obtained. Through the target interface information and each interface information in the associated interface information set, the target interface call link can be accurately generated. Through the above solution, the efficiency and accuracy of interface call link generation can be improved.

Please refer to Figure 3. Figure 3 is a schematic block diagram of an interface call link generation device provided by an embodiment of the present application.

As shown in Figure 3, the interface call link generation device 200 includes: an acquisition module 210, a generation module 220, an update module 230 and a filtering module 240, where:

The obtaining module 210 is used to obtain the first interface information list;

The generation module 220 is configured to input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list;

The update module 230 is configured to update each parameter in the first interface information list based on the parameter category of each parameter to obtain a second interface information list;

The acquisition module 210 is also used to acquire target interface information;

The screening module 240 is configured to filter the interface information associated with the target interface information from the second interface information list to obtain an associated interface information set;

The generating module 220 is also configured to generate a target interface call link according to the target interface information and each interface information in the associated interface information set.

In one embodiment, as shown in Figure 4, the acquisition module 210 also includes an acquisition sub-module 211, a parsing module 212 and a generation sub-module 213, wherein:

The acquisition sub-module 211 is used to acquire at least one data packet;

The parsing module 212 is used to parse at least one of the data packets to obtain message information of at least one interface;

The generating sub-module 213 is configured to generate a first interface information list according to the message information of at least one of the interfaces.

In one embodiment, the generation module 220 is also used to:

Parse the message information of at least one of the interfaces to obtain the request method, URL, first header information, sending body information, second header information and return body information of at least one of the interfaces;

A first interface information list is generated based on the request mode, URL, first header information, sending body information, second header information and return body information of at least one of the interfaces.

In one embodiment, the associated interface information set includes at least first associated interface information and second associated interface information, the first associated interface information is associated with the target interface information, and the second associated interface information is associated with the target interface information. The first associated interface information is associated, the first associated interface information includes the associated parameters in the target interface information, and the second associated interface information includes the associated parameters in the first associated interface information.

In one embodiment, the generation module 220 is also used to:

Determine the splicing order of the target interface information and each interface information in the associated interface information set;

According to the splicing sequence, the target interface information and each interface information in the associated interface information set are spliced to obtain the target interface calling link.

In one embodiment, the generation module 220 is also used to:

Obtain the associated parameters of the sender information of the target interface;

Obtain the associated parameters of the sending body information and the associated parameters of the return body information of each interface in the associated interface information set;

According to the associated parameters of the sender information of the target interface, the associated parameters of the sender information of each interface in the associated interface information set, and the associated parameters of the return body information, determine the target interface information and the associated interface information set. The splicing order of each interface information.

In one embodiment, the preset parameter category recognition model includes an input layer, a hidden layer and an output layer. The generation module 220 is also used to:

Input the first interface information list to the input layer to obtain a first vector;

Input the first vector to the hidden layer to obtain a second vector;

Input the second vector to the output layer to obtain the parameter category of each parameter in the first interface information list.

It should be noted that those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the interface call link generation device described above can be referred to the corresponding steps in the embodiment of the interface call link generation method. The process will not be described again here.

Please refer to FIG. 5 , which is a schematic structural block diagram of a computer device provided by an embodiment of the present application.

As shown in Figure 5, the computer device includes a processor, a memory, and a communication interface connected through a system bus, where the memory may include a non-volatile storage medium and an internal memory.

Non-volatile storage media stores operating systems and computer programs. The computer program includes program instructions, which when executed, can cause the processor to execute any interface call link generation method.

The processor is used to provide computing and control capabilities to support the operation of the entire computer device.

The internal memory provides an environment for the execution of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, it can cause the processor to execute any interface call link generation method.

Those skilled in the art can understand that the structure shown in Figure 5 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. The specific computer equipment can May include more or fewer parts than shown, or combine certain parts, or have a different arrangement of parts.

It should be understood that the bus is, for example, an I2C (Inter-integrated Circuit) bus, the memory can be a Flash chip, a read-only memory (ROM, Read-Only Memory) disk, an optical disk, a U disk or a mobile hard disk, etc., and the processor can be Central processing unit (Central Processing Unit, CPU), the processor can also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable GateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general processor may be a microprocessor or the processor may be any conventional processor.

Wherein, in one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

Get the first interface information list;

Input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list, where the parameter category identification model is a pre-trained neural network model;

Based on the parameter category of each parameter, update each parameter in the first interface information list to obtain a second interface information list;

Obtain target interface information, and filter out interface information associated with the target interface information from the second interface information list to obtain an associated interface information set;

A target interface calling link is generated according to the target interface information and each interface information in the associated interface information set.

In one embodiment, when implementing the acquisition of the first interface information list, the processor is configured to implement:

Get at least one packet;

Parse at least one of the data packets to obtain message information of at least one interface;

Generate a first interface information list according to the message information of at least one of the interfaces.

In one embodiment, when generating the first interface information list based on the message information of at least one of the interfaces, the processor is configured to implement:

Parse the message information of at least one of the interfaces to obtain the request method, URL, first header information, sending body information, second header information and return body information of at least one of the interfaces;

A first interface information list is generated based on the request mode, URL, first header information, sending body information, second header information and return body information of at least one of the interfaces.

In one embodiment, the processor is also used to implement:

The associated interface information set at least includes first associated interface information and second associated interface information, the first associated interface information is associated with the target interface information, and the second associated interface information is associated with the first associated interface information. For association, the first association interface information includes association parameters in the target interface information, and the second association interface information includes association parameters in the first association interface information.

In one embodiment, when the processor generates a target interface call link based on the target interface information and each interface information in the associated interface information set, the processor is configured to:

Determine the splicing order of the target interface information and each interface information in the associated interface information set;

According to the splicing sequence, the target interface information and each interface information in the associated interface information set are spliced to obtain the target interface calling link.

In one embodiment, when determining the splicing order of the target interface information and each interface information in the associated interface information set, the processor is configured to:

Obtain the associated parameters of the sender information of the target interface;

Obtain the associated parameters of the sending body information and the associated parameters of the return body information of each interface in the associated interface information set;

According to the associated parameters of the sender information of the target interface, the associated parameters of the sender information of each interface in the associated interface information set, and the associated parameters of the return body information, determine the target interface information and the associated interface information set. The splicing order of each interface information.

In one embodiment, when the processor implements the preset parameter category identification model, it includes an input layer, a hidden layer and an output layer. The first interface information list is input into the preset parameter category identification model to obtain The parameter type of each parameter in the first interface information list is used to implement:

Input the first interface information list to the input layer to obtain a first vector;

Input the first vector to the hidden layer to obtain a second vector;

Input the second vector to the output layer to obtain the parameter category of each parameter in the first interface information list.

It should be noted that those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the computer device described above can be referred to the corresponding process in the foregoing interface call link generation method embodiment, here No longer.

Embodiments of the present application also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. The computer program includes program instructions. The method implemented when the program instructions are executed may refer to this document. The application interface calls various embodiments of the link generation method.

The computer-readable storage medium may be an internal storage unit of the computer device described in the previous embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), or a secure digital (SD) equipped on the computer device. card, flash card, etc.

Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, etc.; the storage data area may store data according to the blockchain Data created by the use of nodes, etc.

The blockchain referred to in the present invention is a new application model of computer technology such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, etc. Blockchain is essentially a decentralized database. It is a series of data blocks generated using cryptographic methods. Each data block contains a batch of network transaction information and is used to verify its Validity of information (anti-counterfeiting) and generation of the next block. Blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

It should be understood that the terminology used in the specification of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly dictates otherwise.

It will also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items. It should be noted that, as used herein, the terms "include", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or system that includes a list of elements not only includes those elements, but It also includes other elements not expressly listed or that are inherent to the process, method, article or system. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

The above serial numbers of the embodiments of the present application are only for description and do not represent the advantages and disadvantages of the embodiments. The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person familiar with the technical field can easily think of various equivalent methods within the technical scope disclosed in the present application. Modification or replacement, these modifications or replacements shall be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims (7)

1. An interface call link generation method, characterized by including: Get at least one packet; Parse at least one of the data packets to obtain message information of at least one interface; Parse the message information of at least one of the interfaces to obtain the request method, URL, first header information, sending body information, second header information and return body information of at least one of the interfaces; Generate a first interface information list based on the request method, URL, first header information, sending body information, second header information and return body information of at least one of the interfaces; Input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list, where the parameter category identification model is a pre-trained neural network model; Based on the parameter category of each parameter, update each parameter in the first interface information list to obtain a second interface information list; Obtain target interface information, and filter out interface information associated with the target interface information from the second interface information list to obtain an associated interface information set, which at least includes first associated interface information and second associated interface information. Associated interface information, the first associated interface information is associated with the target interface information, the second associated interface information is associated with the first associated interface information, and the first associated interface information includes the association in the target interface information Parameters, the second associated interface information includes the associated parameters in the first associated interface information; A target interface calling link is generated according to the target interface information and each interface information in the associated interface information set. 2. The method for generating an interface call link according to claim 1, wherein generating a target interface call link according to the target interface information and each interface information in the associated interface information set includes: Determine the splicing order of the target interface information and each interface information in the associated interface information set; According to the splicing sequence, the target interface information and each interface information in the associated interface information set are spliced to obtain the target interface calling link. 3. The interface call link generation method according to claim 2, wherein determining the splicing order of the target interface information and each interface information in the associated interface information set includes: Obtain the associated parameters of the sender information of the target interface; Obtain the associated parameters of the sending body information and the associated parameters of the return body information of each interface in the associated interface information set; According to the associated parameters of the sender information of the target interface, the associated parameters of the sender information of each interface in the associated interface information set, and the associated parameters of the return body information, determine the target interface information and the associated interface information set. The splicing order of each interface information. 4. The interface call link generation method according to any one of claims 1-3, wherein the preset parameter category recognition model includes an input layer, a hidden layer and an output layer, and the first layer is An interface information list is input into the preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list, including: Input the first interface information list to the input layer to obtain a first vector; Input the first vector to the hidden layer to obtain a second vector; Input the second vector to the output layer to obtain the parameter category of each parameter in the first interface information list. 5. An interface call link generation device, characterized in that the interface call link generation device includes: an acquisition module, a generation module, an update module and a filtering module, wherein: The acquisition module is used to obtain at least one data packet; parse at least one of the data packets to obtain message information of at least one interface; parse the message information of at least one of the interfaces to obtain at least one of the The request method, URL, first header information, sending body information, second header information and return body information of the interface; the request method, URL, first header information, sending body information, and the third based on at least one of the interfaces 2. header information and return body information to generate the first interface information list; The generation module is used to input the first interface information list into a preset parameter category identification model to obtain the parameter category of each parameter in the first interface information list; The update module is configured to update each parameter in the first interface information list based on the parameter category of each parameter to obtain a second interface information list; The acquisition module is also used to obtain target interface information; The screening module is configured to filter the interface information associated with the target interface information from the second interface information list to obtain an associated interface information set. The associated interface information set at least includes first associated interface information and a third associated interface information. Two associated interface information, the first associated interface information is associated with the target interface information, the second associated interface information is associated with the first associated interface information, and the first associated interface information includes the target interface information. Association parameters, the second association interface information includes association parameters in the first association interface information; The generating module is also configured to generate a target interface calling link according to the target interface information and each interface information in the associated interface information set. 6. A computer device, characterized in that the computer device includes a processor, a memory, and a computer program stored on the memory and executable by the processor, wherein the computer program is executed by the processor. When executed, the steps of the interface calling link generation method as described in any one of claims 1 to 4 are implemented. 7. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program according to any one of claims 1 to 4 is implemented. The steps for calling the link generation method through the interface described above.