CN114237685A

CN114237685A - Data processing method and device, electronic equipment and storage medium

Info

Publication number: CN114237685A
Application number: CN202111560487.5A
Authority: CN
Inventors: 江海宏
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2021-12-20
Filing date: 2021-12-20
Publication date: 2022-03-25

Abstract

The embodiment of the application discloses a data processing method and device, electronic equipment and a storage medium, and is applied to the technical field of computers. The method can comprise the following steps: acquiring target code files of a target project under a target version, wherein each target code file corresponds to each functional module; analyzing a target warning item corresponding to each target code file according to the target code file; extracting historical warning items from the historical code file; generating a target statistical list according to the warning associated information of K dimensions corresponding to the target warning item and the warning associated information of K dimensions corresponding to the historical warning item; and sending the statistical information of each functional module in the target statistical list to a corresponding processing object. The method and the device can help to improve the efficiency of detecting the warning item of the target item. The embodiment of the application can also be applied to the technical field of block chains, such as historical warning items can be obtained from the block chains.

Description

Data processing method and device, electronic equipment and storage medium

Technical Field

The application is applied to the technical field of computers, and particularly relates to a data processing method and device, an electronic device and a storage medium.

Background

With the rapid development of computer technology, when a project is developed, such as developing a software or web page, it is usually necessary to detect whether a problem exists in a code file of the project. At present, whether a problem exists in a code file of an item is detected, generally, all files of the item are scanned, and then a warning item existing in the code file of the item is determined.

Disclosure of Invention

The embodiment of the application provides a data processing method and device, electronic equipment and a storage medium, and is beneficial to improving the detection efficiency of a warning item of a target item.

In one aspect, an embodiment of the present application discloses a data processing method, where the method includes:

acquiring target code files of a target item under a target version, wherein each target code file corresponds to each function module, and each function module is associated with a corresponding processing object;

analyzing a target warning item corresponding to each target code file according to the target code file, wherein the target warning item corresponds to warning associated information with K dimensions; k is a positive integer;

acquiring a history code file of the target item under a history version, and extracting history warning items from the history code file, wherein the history warning items correspond to warning associated information of K dimensions;

generating a target statistical list according to the warning associated information of K dimensions corresponding to the target warning item and the warning associated information of K dimensions corresponding to the historical warning item; the target statistics list includes statistics for each functional module;

and sending the statistical information of each functional module in the target statistical list to the corresponding processing object according to the processing object corresponding to the functional module corresponding to each target code file.

On the other hand, the embodiment of the present application discloses a data processing apparatus, the apparatus includes:

the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring target code files of target items under a target version, each target code file corresponds to each function module, and each function module is associated with a corresponding processing object;

the processing unit is used for analyzing a target warning item corresponding to each target code file according to the target code files, wherein the target warning item corresponds to warning associated information with K dimensions; k is a positive integer;

the acquisition unit is further used for acquiring a history code file of the target item under a history version and extracting history warning items from the history code file, wherein the history warning items correspond to warning associated information with K dimensions;

the processing unit is further configured to generate a target statistics list according to the warning association information of K dimensions corresponding to the target warning item and the warning association information of K dimensions corresponding to the historical warning item; the target statistics list includes statistics for each functional module;

and the sending unit is used for sending the statistical information of each functional module in the target statistical list to the corresponding processing object according to the processing object corresponding to the functional module corresponding to each target code file.

In yet another aspect, an embodiment of the present application provides an electronic device, which includes a processor and a memory, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to perform the following steps:

In another aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer program instructions are stored, and when executed by a processor, the computer program instructions are configured to perform the following steps:

In yet another aspect, embodiments of the present application disclose a computer program product or a computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and executes the computer instructions, so that the computer device executes the data processing method.

The application provides a data processing scheme, which can acquire target code files of a target project under a target version, wherein each target code file corresponds to each functional module, so that the target code file corresponding to the functional module needing to detect a warning item can be selected, and code detection of the target project is flexibly realized; then, a target warning item corresponding to each target code file is analyzed according to the target code files, historical warning items corresponding to the historical code files of the target items under the historical version are obtained, and then a target statistical list is generated according to warning associated information of K dimensions corresponding to the target warning items and warning associated information of K dimensions corresponding to the historical warning items, so that the difference between the detection results of the historical version and the target version can be detected; and then the statistical information of each functional module in the target statistical list is sent to the processing object corresponding to the functional module, so that the processing object corresponding to each functional module can perform subsequent processing based on the detection result of the corresponding functional module, and the task division in the multi-user cooperation project is facilitated. Therefore, the warning item detection of the code file of any functional module in the target project can be realized through the division of the functional modules of the target project, and the efficiency of detecting the warning item of the target project is improved.

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 are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a block diagram of a data processing system according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of a data processing method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of a data processing method according to an embodiment of the present application;

FIG. 4 is a diagram illustrating an effect of a target statistics list provided by an embodiment of the present application;

FIG. 5 is a diagram illustrating an effect of a target statistics list provided by an embodiment of the present application;

FIG. 6 is a diagram illustrating an effect of a target statistics list provided by an embodiment of the present application;

fig. 7 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In a possible implementation manner, the technical solution of the present application may be applied to a data processing system, please refer to fig. 1, where fig. 1 is a schematic structural diagram of a data processing system provided in an embodiment of the present application, and the data processing system may include a data processing device and a processing client. The data processing device can be used for executing the data processing scheme to detect the warning item of the target code file of the target item and send the statistical information corresponding to each functional module to the corresponding processing object. The target item may be an item corresponding to any application, web page, or product, for example, the target item may be a social application, an online payment application, an information platform, and the like, which is not limited herein. The target item may include M function modules, each of which may include at least one code file, where M is a positive integer. For example, for an item of a social application, the item may include a plurality of functional modules, for example, the functional module may be a functional module for displaying an information list, a functional module for displaying friend information, a functional module for displaying self-user information, and the like, which is not limited herein. The processing object may be a person who is used to process the warning item (e.g., repair the warning item in the code file), or may be a client corresponding to the person who is used to process the warning item, which is not limited herein. The processing client may be a client corresponding to the above-mentioned person for processing the warning item, that is, the above-mentioned processing object. In one scenario, when receiving the statistical information of the corresponding functional module, the processing client may display the statistical information, so that a processing person may determine a warning item existing in the code file of the corresponding functional module, and may repair the warning item. Therefore, each processing object can only receive the statistical information of the corresponding functional module, and the safety of the detected result data is improved.

It should be noted that, in the embodiments of the present application, except for the specific description, related data such as code files, warning associated information of warning items, user information, etc. are referred to, when the embodiments of the present application are applied to specific products or technologies, user permission or consent needs to be obtained, and the collection, use and processing of the related data need to comply with relevant laws and regulations and standards of relevant countries and regions.

The technical solution of the present application may be applied to an electronic device, where the electronic device may be a terminal, a server, or other devices for performing data processing, such as the above data processing device, and the present application is not limited thereto. And (4) optional. The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud storage, network service, middleware service, big data and artificial intelligence platforms and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like.

Based on the above description, the embodiments of the present application provide a data processing method. Referring to fig. 2, fig. 2 is a schematic flow chart of a data processing method according to an embodiment of the present disclosure. The method may be performed by the above mentioned electronic device. The method may include the following steps.

S201, acquiring an object code file of the object item under the object version.

Each object code file corresponds to each functional module, and each functional module is associated with a corresponding processing object. It is understood that one object code file has corresponding functional modules, and one or two object code files may be located under one functional module. The target version may be a version of a target item for which detection of a warning item is currently required. It will be appreciated that each version of the target item is associated with a corresponding version number to distinguish between different versions, with a greater number of version numbers indicating a newer version.

The object code file may be a code file that needs to be detected. There may be one or more target code files of the target project under the target version, which is not limited herein. It can be understood that, in the embodiment of the present application, all or part of a code file of a target project in a target version may be obtained as an object code file, which is not limited herein. The function module to which the object code file belongs may be referred to as an object function module. For example, the items may include a function module 1, a function module 2, a function module 3, and a function module 4, and if it is necessary to detect a warning item for the code files of the function module 1 and the function module 2, the code files under the function module 1 and the function module 2 may be acquired as object code files. In one possible implementation, when storing the respective code files of the target project, the code files of different functional modules may be stored in a classified manner. For example, under the project directory of the target project, a folder for each function module is constructed, and a code file of the corresponding function module is stored under the folder corresponding to each function module, for example, under the directory of the target project, there are a folder 1 for storing a code file corresponding to the function module 1, a folder 2 for storing a code file corresponding to the function module 2, a folder 3 for storing a code file corresponding to the function module 3, and a folder 4 for storing a code file corresponding to the function module 4, whereby classified storage of code files of respective function modules under the target project can be achieved. Further optionally, under each functional module, each code file may be divided more finely, that is, at least one subfolder may be further included under one functional module, each subfolder corresponds to one sub-functional module, and a code file for implementing a function of the corresponding sub-functional module may be stored in each subfolder.

S202, analyzing the target warning item corresponding to each target code file according to the target code file.

Wherein the target alert item may be an alert present in the target code file. The target alert item may be an alert generated after compiling the target code file. It is understood that the number of target warning items corresponding to each target code file may be zero, or may be one or more, and is not limited herein.

The target warning item corresponds to warning associated information of K dimensions, and K is a positive integer. The K dimensions of warning association information include one or more of: the type of the warning item, the address information of the target code file where the warning item is located, the function module to which the target code file where the warning item is located belongs, the position information of the warning item in the target code file, and the description information of the warning item. The type of the warning item may be a type to which the warning item belongs, for example, the type of the warning item may be: the types of the warning items can be generated through a preset warning item type mapping relation, and each warning item has a corresponding type. The address information of the target code file where the warning item is located may be a storage path of the target code file where the warning item is located in the target item, and for example, the address information may be: /xx1/xx 2/Module name/code File name. Location information of the warning item in the object code file indicating which row and column of the warning item appears in the object code file. The description information of the warning item is used to indicate the specific content of the warning, and the warning description information may describe what the warning item is generated because of. It can be understood that the analyzed target warning items and the warning association information corresponding to each warning item may be referred to as a detection result.

In one scenario, the target warning item corresponding to each target code file is analyzed, a corresponding attribute list file may be generated according to each target code file, and the warning item corresponding to each target code file and the warning associated information of K dimensions corresponding to the warning item are determined according to the attribute list file. The attribute list file may also be referred to as a Plist file, and the generation of the corresponding attribute list file may be performed by a static scanning tool, for example, the static scanning tool may be: clang Static Analyzer, OCLint, affer, etc., without limitation. The attribute list file may record the type of the warning item existing in the corresponding code file, the address information of the object code file where the warning item is located, the function module to which the object code file where the warning item is located belongs, the location information of the warning item in the object code file, the description information of the warning item, and the like, which are not limited herein, so that the warning associated information of K dimensions corresponding to the target warning item in the corresponding object code file may be determined according to the information recorded in the attribute list file.

S203, acquiring a history code file of the target item under the history version, and extracting a history warning item from the history code file.

The historical version may be a version of a target item developed before the target version, that is, the version number of the historical version is smaller than that of the target version. The historical code file is the code file under the target item of the historical version. The number of the history code files may be one or more, and is not limited herein. The history warning item is a warning existing in the history code file. It is understood that the number of target warning items corresponding to each history code file may be zero, or may be one or more, and is not limited herein.

The historical warning items correspond to warning associated information with K dimensions. The K-dimensional warning association information corresponding to the historical warning item may refer to the K-dimensional warning association information corresponding to the target warning item in step S202, that is, one or more of the following items may also be included: the type of the warning item, the address information of the target code file where the warning item is located, the function module to which the target code file where the warning item is located belongs, the position information of the warning item in the target code file, and the description information of the warning item.

The historical warning items for acquiring the historical version target items can be obtained by respectively generating corresponding attribute list files according to each historical code file, and determining warning items respectively corresponding to each historical code file and warning associated information of K dimensions corresponding to each warning item according to the attribute list files. In one scenario, before a target warning item corresponding to each target code file is parsed from a target code file, a code file of a historical version of the target item may be parsed, and then a detection result of the code file of the corresponding historical version (i.e., a warning item corresponding to each code file and warning association information of K dimensions corresponding to each warning item) may be stored in a storage area in association with a version number of the item, and when the historical warning item and the warning association information of the historical version need to be acquired, a version number of the historical version is determined, for example, a version number of a latest version in at least one version that has been parsed in the past is determined as the version number of the historical version, and a detection result of the historical version is acquired from the storage area according to the version number.

S204, generating a target statistic list according to the warning associated information of the K dimensions corresponding to the target warning item and the warning associated information of the K dimensions corresponding to the historical warning item.

Wherein the target statistics list comprises statistics information for each functional module. The statistical information may be generated based on the warning related information described above. For example, the statistical information may include the type of the warning item of the target warning item corresponding to each module, address information of the target code file where the warning item is located, the function module where the target code file where the warning item is located belongs, location information of the warning item in the target code file, and description information of the warning item. The statistical information may further include the number of target warning items corresponding to each function module of the target version (or the number of target warning items corresponding to all function modules that need to be detected), the number of types of each type of target warning items under each function module, and the like, which is not limited herein.

The target statistics list may be a statistics list generated from the statistics information. The target statistical list includes statistical information for each functional module, and the statistical information with the same meaning can be correspondingly displayed as a list of data. For example, a first column in the statistical list may be used to indicate each functional module, a second column may be used to indicate a file name of a code file to which a target warning item under the corresponding functional module belongs, a third column may be used to indicate address information of the target code file in which each warning item is located, a fourth column may be used to indicate a type of the warning item, a fifth column is used to indicate a number of target warning items corresponding to each module, and so on, which are not limited herein.

In a possible implementation, the statistical information may further include warning comparison information, which is used to indicate the difference between the warning items of the historical version and the current version. The process of determining a list of target statistics may comprise the steps of: according to the warning associated information of K dimensions corresponding to the target warning item and the warning associated information of K dimensions corresponding to the historical warning item, warning comparison information is determined. Wherein the warning contrast information comprises one or more of: the repaired historical warning item information and the newly added warning item information. The repaired history warning item information is used for indicating warning associated information of a reduced warning item under the functional module corresponding to the target version compared with the history version, and the newly added warning item information is used for indicating warning associated information of a warning item added under the functional module corresponding to the target version compared with the history version. It is to be understood that the repaired history warning item information may further include a counted number of repaired history warning items, and the newly added warning item information may further include a counted number of newly added warning items, which is not limited herein. And generating a target statistical list according to the warning associated information and the warning comparison information of the K dimensions corresponding to the target warning item. That is, the statistical information to be counted is determined according to the warning correlation information and the warning comparison information of the K dimensions corresponding to the target warning item, and then a target statistical list is generated according to each statistical information, which is not described herein again.

S205, according to the processing object corresponding to the functional module corresponding to each target code file, sending the statistical information of each functional module in the target statistical list to the corresponding processing object.

The statistical information in the target statistical list is classified according to the functional modules, so that the statistical information corresponding to each functional module can be rapidly determined from the first list, and then the statistical information of each functional module is respectively sent to the processing objects of the corresponding functional modules. Therefore, each processing object can only see the detection result of the corresponding functional module, and if the processing objects corresponding to each functional module are different, the detection result of the corresponding functional module can be protected from being known by other processing objects, so that the possibility of data leakage is reduced, and the safety of the detection result of each functional module is improved.

In one possible implementation, the processing object corresponding to the function module may be determined by obtaining an object mapping table. The object mapping table is used to indicate a corresponding relationship between each function module in the target item and the processing object, and if the function module 1 has three pieces of personnel performing related processing on the function module 1, the object mapping table may record an object identifier corresponding to the processing object of the function module 1 having three pieces of processing objects or an equipment identifier corresponding to the client corresponding to the processing object of the function module 1, which is not limited herein. Then, step S205 may specifically include the following steps: obtaining an object mapping table. The object mapping table may be stored in a corresponding storage area, and may be obtained according to a storage address of the object mapping table. It will be appreciated that the object mapping table may be maintained periodically to ensure that the object mapping table is the most up-to-date mapping table. Determining a processing object corresponding to the functional module corresponding to each target code file according to the object mapping table, and sending the statistical information of each functional module in the target statistical list to the processing object corresponding to the functional module. The processing object corresponding to the function module to which each object code file belongs is determined according to the object mapping table, and the function module and the processing object corresponding to the function module can be determined for each corresponding relationship in the object mapping table.

Referring to fig. 3, fig. 3 is a schematic flowchart of a data processing method according to an embodiment of the present application, and the data processing method is applied to the electronic device. The data processing method may include the following steps.

S301, acquiring an object code file of the object item under the object version.

In a possible implementation manner, as described above, all or part of the code file of the target project under the target version is acquired as the target code file, and then the instruction of which functional modules need to be acquired can be determined through the code acquisition instruction. If the target item includes M functional modules, where M is a positive integer, step S301 may specifically include the following steps: the method comprises the steps of obtaining a code processing instruction, wherein the code processing instruction is used for indicating to obtain code files corresponding to N target function modules, N is a positive integer and is smaller than or equal to M. And if N is less than or equal to M, the code processing instruction can be used for acquiring the code files corresponding to part or all of the functional modules of the target item. The target function module is the function module which needs to be analyzed and processed and is indicated by the code processing instruction. And secondly, respectively determining a target folder corresponding to each target function module according to the code processing instruction. And the target folder is used for storing the code file corresponding to the target function module. Determining the target folder may also be determining address information of the target folder, for example, the folder name of the folder of the target function module is: and if the folder 1 is in the target item, the address information of the folder corresponding to the target function module is as follows: and the/xx 1/folder 1 stores the code file corresponding to the function module under the path of the/xx 1/folder 1'. And thirdly, taking the code file in the target folder as a target code file. For example, the N target function modules include a function module 1, and the address information of the folder corresponding to the function module 1 is: the paths of the/xx 1/folder 1 and the/xx 1/folder 1 comprise code files file1, file2 and file3, and then the files 1, file2 and file3 can be used as target code files.

In one possible implementation, the code processing instructions may be generated in a variety of ways.

For example, a function module input operation is detected, and a code processing instruction is generated according to the N target function modules indicated by the function module input operation. The function module input operation is used to input module information of the N target function modules, for example, the module information may be folder names of folders corresponding to the target function modules, or address information of the folders corresponding to the target function modules. In a possible scenario, the module input operation may be performed based on a target page, where the target page is used to input information related to data to be processed, such as inputting a target function module to be processed (or a folder address of the function module to be processed) based on the target page, and inputting the above-mentioned object mapping table based on the target page, which is not limited herein. Further, when a confirmation operation based on the input information is detected (e.g., clicking a control for instructing confirmation of the input), the instruction is processed according to the generated code of the input target function module to indicate a problem in detecting the code file in the target function module.

For another example, the importance degree of each function module is determined, N target function modules are determined according to the importance degree of each function module, and a code processing instruction is generated according to the N target function modules. The importance level of the module is used for indicating the importance of the function of the module in the project, and the importance level of the module can be divided into a plurality of levels, such as different levels of medium level, high level, low level, and the like. If some functions are core functions of the project or key functions for maintaining the project operation, the importance degree of the functional modules of the functions is determined to be high, otherwise, the importance degree is determined to be medium or low. The N target function modules are determined according to the importance degree of each function module, and the function module with the preset importance degree can be determined as the target function module, where the preset importance degree can be the importance degree preset by the user, for example, the user can determine which function modules with the preset importance degree need to be processed through the target page, or the corresponding preset importance degree can be determined according to the size of the project, and the size of the project can be determined according to the number of code files included in the project. For example, if the item is large (the number of code files included in the item is greater than the number threshold), the function module with the highest importance level may be determined as the target function module for detection, and thus the detected data amount may be reduced.

S302, analyzing the target warning item corresponding to each target code file according to the target code file.

In a possible implementation manner, the type of the warning item to be detected can be preset, and when the target warning item corresponding to each target code file is analyzed according to at least one target code file, only at least one warning item corresponding to the preset type can be analyzed, so that the warning item in the code file can be detected in a more targeted manner.

S303, acquiring a history code file of the target item under the history version, and extracting a history warning item from the history code file.

For the relevant description of step S303, refer to step S203, which is not described herein.

S304, generating a target statistic list according to the warning associated information of the K dimensions corresponding to the target warning item and the warning associated information of the K dimensions corresponding to the historical warning item.

In a possible embodiment, the target statistics list may include at least one of the following embodiments.

For example, please refer to fig. 4, fig. 4 is a schematic diagram illustrating an effect of a target statistics list according to an embodiment of the present application. The target statistical list can be used for simply showing the position condition of the target warning item of each functional module, and is convenient for processing the position of the object quickly positioning the warning item for repairing. The target statistic list may include a module name (shown as 401 in fig. 4) of the function module, whether the history version is a newly added warning item (shown as 402 in fig. 4), a file name (shown as 403 in fig. 4) of a code file to which the warning item belongs, location information (shown as 404 in fig. 4) of the warning item, address information (shown as 405 in fig. 4) of a target code file in which the warning item is located, and description information (shown as 406 in fig. 4) of the warning item. Optionally, in the target statistics list, information of the newly added warning item compared with the historical version may be used for displaying through a special mark, for example, the information may be marked in different colors, different fonts, underlines, and the like, so that the newly added warning item may be highlighted, which is beneficial for the processing object to raise the vigilance of the newly added warning item.

For another example, please refer to fig. 5, where fig. 5 is a schematic diagram illustrating an effect of a target statistics list provided in an embodiment of the present application. The target statistic list can be used for simply showing the overall situation of the target warning item of each functional module, so that the processing object can quickly determine the warning distribution situation of each current code file. The target statistic list includes a name of each function module (as shown by 501 in fig. 5), a file name of a code file included in the function module (as shown by 502 in fig. 5), the number of warning items included in each code file (as shown by 503 in fig. 5), the number of newly added warning items (as shown by 504 in fig. 5), the number of repaired warning items (as shown by 505 in fig. 5), a corresponding processing object (as shown by 506 in fig. 5), and so on. Optionally, in the target statistics list, the number of newly added warning items and the number of repaired warning items may be displayed by different marks, for example, the number of newly added warning items is marked with one color, and the number of repaired warning items is marked with another color.

For another example, please refer to fig. 6, where fig. 6 is a schematic diagram illustrating an effect of a target statistics list provided in an embodiment of the present application. The target statistics list may be used to indicate the overall condition of the warning items sorted by warning type under each functional module. The target statistics list may include a module name (shown as 601 in fig. 6) of each functional module, a warning item number (shown as 603 in fig. 6) of each warning type (shown as 602 in fig. 6 as a warning item type) under each functional module, a newly added warning item number (shown as 604 in fig. 6) and a repaired warning item number (shown as 605 in fig. 6), a corresponding processing object (shown as 606 in fig. 6), and so on. Optionally, in the target statistics list, the number of newly added warning items and the number of repaired warning items may be displayed by different marks.

S305, according to the processing object corresponding to the functional module corresponding to each target code file, sending the statistical information of each functional module in the target statistical list to the corresponding processing object.

In a possible implementation manner, the statistical information of each functional module in the target statistical list of each display mode may be sent to the corresponding processing object. Thereby, the processing object can be enabled to view the information of each warning item from multiple aspects to facilitate the repair of the warning item.

S306, sequencing the target warning items corresponding to each functional module from high to low according to the risk level to obtain a warning item risk sequence of each functional module.

As described above, the target warning item is associated with a corresponding risk level. The risk level can be determined according to the probability that the problem indicated by the warning item affects the application in the subsequent application and the influence of the problem indicated by the warning item in the subsequent application process of the project, and the risk level is the level generated after risk evaluation is performed on various warning items. The risk level may be expressed as a plurality of levels, such as large, medium, and small levels, or may be expressed as a corresponding risk coefficient, which is not limited herein, and the risk coefficient may respectively determine corresponding risk values according to the probability that the warning item affects the application and the size of the effect of the warning item on the application in the subsequent application, and then determine the risk coefficient of the corresponding warning item according to each risk value. The warning item risk sequence may include target warning items, and the target warning items are arranged according to risk levels from large to small, and if the risk levels are the same, the target warning items with the same risk levels may be randomly arranged, which is not limited here.

S307, generating an alarm repairing strategy according to the alarm item risk sequence of each functional module.

The warning repair strategy indicates the repair sequence of the target warning items, and the repair sequence of each warning item can be according to the warning item risk sequence, wherein the more the warning item risk sequence is, the more the repair sequence is. For example, the warning item risk sequence is: warning item 1, warning item 2, warning item 3, warning item 4, and warning item 5, the generated warning repair policy may be used to indicate that the repair order for each target warning item is: warning item 1, warning item 2, warning item 3, warning item 4, warning item 5. In a possible implementation manner, the warning repair strategy can also comprise position information of a target warning item, so that the processing object can quickly locate the position of the warning item, and the warning item can be quickly repaired.

And S308, sending the warning repair strategy corresponding to each functional module to the corresponding processing object.

The warning repair strategy corresponding to each functional module is sent to the processing object corresponding to the functional module, an object mapping table can be obtained, then the processing object corresponding to each functional module is determined according to the object mapping table, and the warning repair strategy is sent to the processing object corresponding to the functional module. It is understood that the warning repair policy may be sent to the corresponding processing object at the same time as step S305, or may be sent to the corresponding processing object before or after step S305, and this is not limited herein.

The application provides a data processing scheme, which can acquire at least one target code file corresponding to a target version of a target project, wherein each target code file belongs to a corresponding functional module, so that at least one target code file corresponding to the functional module needing to detect a warning item can be selected, and the efficiency of code detection of the target project is improved; then, a target warning item corresponding to each target code file is analyzed according to at least one target code file, historical warning items corresponding to at least one historical code file of a historical version of each target item are obtained, and then a target statistical list is generated according to warning associated information of K dimensions corresponding to the target warning items and warning associated information of K dimensions corresponding to the historical warning items, so that the difference between detection results of the historical version and the target version can be detected; and then the statistical information of each functional module in the target statistical list is sent to the processing object corresponding to the functional module, so that the processing object corresponding to each functional module can perform subsequent processing based on the detection result of the corresponding functional module, and the task division in the multi-user cooperation project is facilitated. Therefore, the warning item detection of the code file of any functional module in the target project can be realized through the division of the functional modules of the target project, and the efficiency of detecting the warning item of the target project is improved.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present disclosure. Alternatively, the data processing apparatus may be disposed in the electronic device. As shown in fig. 7, the data processing apparatus described in the present embodiment may include:

an obtaining unit 701, configured to obtain object code files of an object item in an object version, where each object code file corresponds to each function module, and each function module is associated with a corresponding processing object;

a processing unit 702, configured to parse target warning items corresponding to each target code file according to the target code files, where the target warning items correspond to warning association information of K dimensions; k is a positive integer;

the obtaining unit 701 is further configured to obtain a history code file of the target item in a history version, and extract a history warning item from the history code file, where the history warning item corresponds to warning association information of K dimensions;

the processing unit 702 is further configured to generate a target statistics list according to the warning association information of K dimensions corresponding to the target warning item and the warning association information of K dimensions corresponding to the historical warning item; the target statistics list includes statistics for each functional module;

a sending unit 703, configured to send, according to a processing object corresponding to the functional module corresponding to each target code file, statistical information of each functional module in the target statistical list to the corresponding processing object.

In one implementation, the statistical information includes warning contrast information; the processing unit 702 is specifically configured to:

according to the warning associated information of K dimensions corresponding to the target warning item and the warning associated information of K dimensions corresponding to the historical warning item, determining warning comparison information, wherein the warning comparison information comprises one or more of the following items: repaired historical warning item information and newly added warning item information;

and generating a target statistical list according to the warning correlation information of the K dimensions corresponding to the target warning item and the warning comparison information.

In one implementation, the target item includes M functional modules, where M is a positive integer; the obtaining unit 701 is specifically configured to:

acquiring a code processing instruction, wherein the code processing instruction is used for instructing to acquire code files corresponding to N target function modules, N is a positive integer and is less than or equal to M;

respectively determining a target folder corresponding to each target function module according to the code processing instruction; the target folder is used for storing a code file corresponding to the target function module;

and taking the code file in the target folder as at least one target code file.

In an implementation manner, the obtaining unit 701 is specifically configured to:

detecting input operation of a functional module, and generating a code processing instruction according to N target functional modules indicated by the input operation of the functional module; the function module input operation is used for inputting module information of the N target function modules;

or determining the importance degree of each functional module, determining N target functional modules according to the importance degree of each functional module, and generating a code processing instruction according to the N target functional modules.

In an implementation manner, the processing unit 702 is specifically configured to:

acquiring an object mapping table; the object mapping table is used for indicating the corresponding relation between each functional module in the target item and a processing object;

and determining a processing object corresponding to the functional module corresponding to each target code file according to the object mapping table, and sending the statistical information of each functional module in the target statistical list to the corresponding processing object.

In one implementation, the target warning item is associated with a corresponding risk level; the processing unit 702 is further configured to:

sequencing the target warning items corresponding to each functional module from high to low according to the risk level to obtain a warning item risk sequence of each functional module;

generating an alert repair strategy according to the alert item risk sequence of each functional module, wherein the alert repair strategy indicates a repair sequence of the target alert items;

and sending the warning repair strategy corresponding to each functional module to the corresponding processing object.

In one implementation, the K dimensions of alert correlation information include one or more of: the type of the warning item, the address information of the target code file where the warning item is located, the function module to which the target code file where the warning item is located belongs, the position information of the warning item in the target code file, and the description information of the warning item.

Referring to fig. 8, fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device described in this embodiment includes: a processor 801 and a memory 802. Optionally, the electronic device may further include a network interface 803 or a power supply function module. Data may be exchanged between the processor 801, the memory 802, and the network interface 803.

The Processor 801 may be a Central Processing Unit (CPU), and may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The network interface 803 may include an input device such as a control panel, a microphone, a receiver, etc., and/or an output device such as a display screen, a transmitter, etc., to name but a few. For example, in an application embodiment, the network interface may include a receiver and a transmitter.

The memory 802, which may include both read-only memory and random-access memory, provides program instructions and data to the processor 801. A portion of the memory 802 may also include non-volatile random access memory. Wherein, the processor 801 is configured to execute, when calling the program instruction:

In one implementation, the statistical information includes warning contrast information; the processor 801 is specifically configured to:

In one implementation, the target item includes M functional modules, where M is a positive integer; the processor 801 is specifically configured to:

and taking the code file in the target folder as at least one target code file.

In one implementation, the processor 801 is specifically configured to:

In one implementation, the target warning item is associated with a corresponding risk level; the processor 801 is further configured to:

Optionally, the program instructions may also implement other steps of the method in the above embodiments when executed by the processor, and details are not described here.

The present application further provides a computer-readable storage medium, in which a computer program is stored, the computer program comprising program instructions, which, when executed by a processor, cause the processor to perform the above method, such as performing the above method performed by an electronic device, which is not described herein in detail.

Optionally, the storage medium, such as a computer-readable storage medium, referred to herein may be non-volatile or volatile.

Alternatively, 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, and the like; the storage data area may store data created according to the use of the blockchain node, and the like. The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

It should be noted that, for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts or combinations, but those skilled in the art should understand that the present application is not limited by the order of acts described, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and functional blocks referred to are not necessarily required for the application.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

Embodiments of the present application also provide a computer program product or computer program comprising computer instructions stored in a computer-readable storage medium. The computer instructions are read by a processor of a computer device from a computer-readable storage medium, and the computer instructions are executed by the processor to cause the computer device to perform the steps performed in the embodiments of the methods described above. For example, the computer device may be a terminal, or may be a server.

The foregoing detailed description is directed to a data processing method, an apparatus, an electronic device, and a storage medium provided in the embodiments of the present application, and specific examples are applied in the present application to explain the principles and implementations of the present application, and the descriptions of the foregoing embodiments are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A method of data processing, the method comprising:

2. The method of claim 1, wherein the statistical information comprises warning contrast information;

generating a target statistics list according to the warning associated information of the K dimensions corresponding to the target warning item and the warning associated information of the K dimensions corresponding to the historical warning item, including:

3. The method of claim 1, wherein the target item comprises M functional modules, M being a positive integer; the acquiring of the target code file of the target project under the target version comprises the following steps:

and taking the code file in the target folder as a target code file.

4. The method of claim 3, wherein the obtaining code processing instructions comprises:

5. The method according to claim 1, wherein the sending the statistical information of each functional module in the target statistical list to the corresponding processing object according to the processing object corresponding to the functional module corresponding to each target code file comprises:

6. The method of claim 1, wherein the target warning item is associated with a corresponding risk level; the method further comprises the following steps:

7. The method of claim 1, wherein the K dimensions of alert correlation information include one or more of: the type of the warning item, the address information of the target code file where the warning item is located, the function module to which the target code file where the warning item is located belongs, the position information of the warning item in the target code file, and the description information of the warning item.

8. A data processing apparatus, characterized in that the apparatus comprises:

9. An electronic device comprising a processor, a memory, wherein the memory is configured to store a computer program comprising program instructions, and wherein the processor is configured to invoke the program instructions to perform the method of any of claims 1-7.

10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions that, when executed by a processor, cause the processor to carry out the method according to any one of claims 1-7.