CN117648122A - Visual code warehouse optimization method, system, equipment and storage medium - Google Patents

Abstract

The invention provides a visual code warehouse optimization method, system, equipment and storage medium, including: providing a loading information configuration interface, including a first configuration area for configuring the code warehouse address, loading the code in the code warehouse to be optimized to Local; provides an analysis information configuration interface, including a second configuration area for analyzing function configuration and a third configuration area for displaying analysis results; analyzes the code and displays it in the third configuration area; provides an execution function configuration interface, including a third configuration area for performing deletion The fourth configuration area and the fifth configuration area for push execution; delete the code to be deleted and generate a change record; push the change record to the corresponding first server address of the code warehouse. The invention can simplify the operation complexity of the code warehouse, facilitate users to intuitively optimize the code warehouse according to different business needs, and at the same time save the storage cost of the code warehouse.

Description

A visual code warehouse optimization method, system, equipment and storage medium

Technical field

The present invention relates to the field of data processing technology, and in particular to a visual code warehouse optimization method, system, equipment and storage medium.

Background technique

Code management tools, also known as code hosting and collaboration tools, have increasingly become an important tool for modern software development companies to improve production efficiency and quality during the software development process, and have become an important choice for code management, version control, and collaborative development. At present, most companies' code warehouses use Git as version management. As a version management tool, all version files during the development process will be saved. As the team scale expands, the continuous iteration and addition of code repositories in the project will cause the Git repository to become larger and larger, resulting in tight storage space and increased repository download time. At this time, it is necessary to clean up those useless files with a long history in the warehouse. However, according to the current cleaning method, developers need to be familiar with Git operation commands and command line operation steps to perform the deletion step by step. The command line operation is complicated. , in addition, the operation of deleting code can only delete one at a time. Deleting multiple files requires repeated operations, which is extremely inefficient and requires high learning threshold and skill requirements for operators, as well as complicated installation and maintenance. question.

It should be noted that the information disclosed in the background art section above is only used to enhance understanding of the background of the present invention, and therefore may include information that does not constitute prior art known to those of ordinary skill in the art.

Contents of the invention

In view of the problems in the prior art, the purpose of the present invention is to provide a visual code warehouse optimization method, system, equipment and storage medium to replace the optimization of the code warehouse through the command line in the prior art.

An embodiment of the present invention also provides a visual code warehouse optimization method, which includes the following steps:

The client loading module provides a loading information configuration interface, and the loading information configuration page includes a first configuration area for configuring the code warehouse address;

Acquire the code repository to be optimized in response to the user's settings in the first configuration area, and load the code in the code repository to be optimized locally;

An analysis information configuration interface is provided in the client analysis module. The analysis information configuration interface includes a second configuration area for analysis function configuration and a third configuration area for displaying analysis results;

Respond to the user's settings in the second configuration area, analyze the code and display it in the third configuration area;

An execution function configuration interface is provided in the client execution module. The execution function configuration interface includes a fourth configuration area for deletion and a fifth configuration area for push execution;

In response to the user's selection operation of the code to be deleted in the third configuration area and the settings in the fourth configuration area, delete the code to be deleted and generate a change record;

In response to the user's settings in the fifth configuration area, the change record is pushed to the corresponding first server address of the code warehouse.

Further, the first configuration area includes server-side code repository configuration options, local code repository configuration options and scanning local folder configuration options.

Further, the server-side code warehouse configuration options include the server-side code warehouse address setting area. When the user configures the corresponding first server address of the code warehouse in the server-side code warehouse address setting area, the code warehouse to be optimized is set to be loaded by execution. Script implementation.

Further, the second configuration area includes an analysis option based on code file size, an analysis option based on code creation time, an analysis option based on code last call time, and an analysis option based on custom rules.

Further, responding to the user's settings in the second configuration area is implemented by executing an analysis script.

Further, in response to the user's selection operation of the code to be optimized in the third configuration area, it is set to perform a check box selection on the analyzed code to be optimized in the third configuration area.

Further, in response to the user's settings in the fifth configuration area, the push script is set to be called.

Further, the visual code warehouse optimization method also includes a code backup method, including the following steps:

After setting the fourth configuration area, a window pops up that requires the user to confirm the settings of the fourth configuration area again;

In response to the user confirming the settings of the fourth configuration area again, the code to be deleted in the third configuration area selected by the user is generated as a backup code;

Delete the code to be deleted and generate a change record.

Further, in response to the user's settings in the fifth configuration area, the backup code is pushed to a preset second server address.

Embodiments of the present invention also provide a visual code warehouse optimization system for implementing the visual code warehouse optimization method. The system includes a client and a server. The client includes a loading module, an analysis module and an execution module. , the server is provided with a second server address, and the server receives and stores the backup code sent by the execution module through the second server address.

An embodiment of the present invention also provides a visual code warehouse optimization device, including:

processor;

A memory in which executable instructions of the processor are stored;

Wherein, the processor is configured to execute the steps of the visual code warehouse optimization method by executing the executable instructions.

Embodiments of the present invention also provide a computer-readable storage medium for storing a program that implements the steps of the visual code warehouse optimization method when the program is executed by a processor.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

The visual code warehouse optimization method, system, equipment and storage medium of the present invention have the following beneficial effects:

The invention can simplify the complexity of code warehouse operations, facilitate users to intuitively optimize the code warehouse according to different business needs, simplify the code warehouse optimization process, improve operating efficiency, and save code warehouse storage costs.

Description of drawings

Other features, objects and advantages of the present invention will become more apparent upon reading the detailed description of the non-limiting embodiments with reference to the following drawings.

Figure 1 is a schematic structural diagram of a visual code warehouse optimization client according to an embodiment of the present invention;

Figure 2 is a flow chart of a visual code warehouse optimization method according to an embodiment of the present invention;

Figure 3 is a flow chart of the code backup method of the visual code warehouse optimization method according to an embodiment of the present invention;

Figure 4 is a schematic diagram of the loading information configuration interface of the visual code warehouse optimization client loading module according to an embodiment of the present invention;

Figure 5 is a schematic diagram of the first part of the analysis information configuration interface of the visual code warehouse optimization client analysis module according to an embodiment of the present invention;

Figure 6 is a schematic diagram of the second part of the analysis information configuration interface of the visual code warehouse optimization client analysis module and the execution function configuration interface of the execution module according to an embodiment of the present invention;

Figure 7 is a schematic diagram of the secondary confirmation interface of the visual code warehouse optimization client execution module according to an embodiment of the present invention;

Figure 8 is a schematic structural diagram of a visual code warehouse optimization device according to an embodiment of the present invention;

Figure 9 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in various forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concepts of the example embodiments. To those skilled in the art. The described features, structures or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and/or processor devices and/or microcontroller devices.

The flowcharts shown in the figures are illustrative only and do not necessarily include all steps. For example, some steps can be decomposed, and some steps can be combined or partially combined. Therefore, the actual execution order may change according to the actual situation.

As shown in Figure 1, an embodiment of the present invention provides a visual code warehouse optimization client, including a loading module M100, an analysis module M200, and an execution module M300. The loading module M100 is used to load the code in the code warehouse to be optimized to the local , the analysis module M200 is used to analyze the code and display the analysis results, and the execution module M300 is used to delete the code to be deleted, generate a change record and push it to the corresponding first server address of the code warehouse. Define the first server address as the server address where the code warehouse is located.

The loading module M100 is used to load the code in the local or remote code repository to be optimized, and pull the remote repository to the local operation.

The analysis module M200 is used to analyze and display the code repository specified to be analyzed according to preset rules, such as analysis according to code size, analysis according to code file name, analysis according to the time when the code file was created, or according to the update time of the code file. Analyze and display the analysis results to facilitate users to select the code to be deleted.

Optionally, the analysis module M200 can also perform analysis according to user-defined rules and save the custom rules for subsequent selection. For example, it provides attributes such as creation, update time, modification time, file size, etc., and combines logical operators to create customized analysis rules.

The execution module M300 is used to delete the code to be deleted, and provides a secondary confirmation function during the process to prevent users from misoperation. In addition, the execution module M300 is responsible for recording changes to the optimized code warehouse and pushing them back to the code warehouse to complete the optimization of the remote code warehouse.

Optionally, the execution module M300 has a code backup function. Since the optimization operation in the remote code warehouse is irrecoverable, in order to ensure traceability, the execution module M300 adds a backup operation for the code files to be deleted and generates a backup file. This backup file can be backed up locally.

Optionally, the execution module M300 has a sending function to send the backup file to the second server address that is the default of the client execution module M300 or set by the user, that is, other server addresses.

Optionally, the visual code warehouse optimization client can be implemented by developing a separate app, or each module of the client can be implemented as a plug-in in the existing git client.

As shown in Figure 2, this embodiment of the present invention provides a visual code warehouse optimization method, which includes the following steps:

S100: Provide a loading information configuration interface in the client loading module M100. The loading information configuration page includes a first configuration area for configuring the code warehouse address;

In this embodiment, the loading information configuration interface is an interface for configuring the address of the code warehouse, and the address of the code warehouse is configured in the first configuration area.

Optionally, the first configuration area includes server-side code repository configuration options, local code repository configuration options and scanning local folder configuration options.

In this embodiment, as shown in Figure 4, the first configuration area provides three configuration methods for obtaining the code warehouse address, namely, the server-side code warehouse configuration option is to clone from the URL, and the local code warehouse configuration option is to add an existing code warehouse. The local repository and scan local folder configuration options are to scan local folders. Clone from URL means to obtain the code repository from the first server address, which is the corresponding address of the code repository on the Git server. The method of adding an existing local repository is to obtain the code repository through the directory address of the code repository that the user has loaded into the local repository. Scanning the local folder means using the file search function provided by the running system where the client is located. There is no need to specify the directory address of the code warehouse. The directory address of the code warehouse is found through the file search function provided by the running system. Benefiting from the multiple code warehouse address configuration options provided in this embodiment, it can greatly facilitate users to select the configuration of the code warehouse to be optimized.

S200: Acquire the code warehouse to be optimized in response to the user's settings in the first configuration area, and load the code in the code warehouse to be optimized locally;

In this embodiment, as shown in Figure 5, the code warehouse to be optimized is obtained in response to the user's settings in the first configuration area, and the obtained code warehouse to be optimized is displayed in the warehouse list. In the upper part of Figure 5, the code warehouse is exemplary List the three warehouse codes obtained.

Optionally, the server-side code warehouse configuration options include a server-side code warehouse address setting area. When the user configures the corresponding first server address of the code warehouse in the server-side code warehouse address setting area, the code warehouse to be optimized is set to This is achieved by executing the loading script.

In this embodiment, in response to the user's settings in the first configuration area being set according to the configuration of the code warehouse address in the first configuration area, the command to load the script uses, for example, git clone git@git.xxx to transfer the code warehouse from the remote warehouse Pull to local, git.xxx is an example of the code warehouse address. The loading script sets the operating directory to the local warehouse directory. For example, in the Windows system, use cd warehouse directory to enter the specified directory. Benefiting from the settings of the loading script, it is convenient for users to operate. Without using the command line, the code warehouse can be loaded locally and the operation directory is set to the directory where the code warehouse is located, which facilitates the execution of subsequent software. The first server address is an address stored in a code warehouse, such as a git server. The code warehouse is stored in a code warehouse, such as a git server. Each code warehouse corresponds to its first server address.

S300: Provide an analysis information configuration interface in the client analysis module M200. The analysis information configuration interface includes a second configuration area for analysis function configuration and a third configuration area for displaying analysis results;

Optionally, the second configuration area includes an analysis option based on code file size, an analysis option based on code creation time, an analysis option based on code last call time, and an analysis option based on custom rules.

In this embodiment, as shown in Figure 5, the lower part of Figure 5 exemplarily shows two code analysis function configuration modes provided by the second configuration area, which are the analysis option according to code file size, that is, according to file size. The sorting analysis and code creation time analysis options add historical sorting analysis by file. However, the configuration method of the code analysis function is not limited to this. It also includes analysis options based on the last call time of the code and analysis options based on custom rules. The custom rules provide attributes such as creation, update time, modification time, file size, etc. , combined with logical operators to create custom analysis rules.

S400: Respond to the user's settings in the second configuration area, analyze the code and display it in the third configuration area;

In this embodiment, as shown in Figure 6, the upper part of Figure 6 exemplarily shows the results after analyzing the code according to the code file size analysis option provided by the third configuration area. The file size column is from top to bottom. Sort the code files from largest to smallest. Benefiting from the code analysis display results displayed in the third configuration area, users can intuitively select different analysis options to view the code files in the code warehouse according to different business needs.

Optionally, responding to the user's settings in the second configuration area is set by executing an analysis script. In this embodiment, in response to the user's setting in the second configuration area being set to the configuration according to the code warehouse address of the second configuration area, the command of the analysis script adopts, for example, the analysis by code file size option, that is, when the analysis is sorted by file size, Check it through the command line git:(feature/Test) X du –d 1 –h. To check the warehouse size, use the command line gitcount-objects –v. The .git directory stores the metadata information of the entire code warehouse, including submission history, branch information, tag information, and file objects. Checking the command line shows that the objects object is very large, so focus on cleaning up the objects. Analysis in other ways, such as the analysis option based on code creation time, that is, the analysis based on the file adding history sorting, the analysis option based on the last call time of the code, and the analysis option based on custom rules, can all be implemented by using the command line with the corresponding function in the analysis script. Analysis will not be repeated here.

S500: Provide an execution function configuration interface for the client execution module M300. The execution function configuration interface includes a fourth configuration area for deletion and a fifth configuration area for push execution;

In this embodiment, as shown in Figure 6, the lower part of Figure 6 exemplarily shows the fourth configuration area for performing deletion provided by the execution module M300, that is, the fifth configuration for confirming deletion and performing push in Figure 6 The area is the one-click push in Figure 6.

S600: In response to the user's selection operation of the code to be deleted in the third configuration area and the settings in the fourth configuration area, delete the code to be deleted and generate a change record;

In this embodiment, in response to the user's selection operation of the code to be optimized in the third configuration area, it is set to check box selection of the code to be optimized after analysis in the third configuration area, as shown in Figure 6, an exemplary selection The top four largest files sorted by size. Responding to the user's settings in the fourth configuration area is set to execute the deletion script according to the selection of the code to be deleted. For example, if the libcocoas2d.a file is selected for the code to be deleted, the deletion command line of the deletion script uses git filter-branch -f - -prune-empty --index-filter 'git rm -rf --cached --ignore-unmatch .lint/Pods/YppCocos/YppCocos/libcocoas2d.a' --tag-name-filter cat -- --all, such as In the third configuration area, check the box of the code to be optimized after analysis and select multiple files, and set it to repeatedly call and execute the deletion script to achieve the deletion of multiple files.

S700: In response to the user's settings in the fifth configuration area, push the change record to the corresponding first server address of the code warehouse.

In this embodiment, the first server address is the Git server address where the code warehouse is located, but it is not limited to this. Other code management tools such as Gittee or the enterprise's self-built code warehouse can also be used for implementation.

Optionally, in response to the user's settings in the fifth configuration area, it is set to call the push script.

In this embodiment, one-click push is performed in response to the user's settings in the fifth configuration area, that is, the user confirms. When a file deletion operation is involved in the Git system, the changes to the code repository caused by the deletion operation need to be recorded and updated on the Git index. The push script command uses, for example, git reflog expire –expire==now&&git gc –prune=now –aggressive to update the Git index of the code warehouse; git push origin –force –all completes the operation of deleting the code and pushes it to the first server address. Complete Optimization of code repository.

As shown in Figure 3, an embodiment of the present invention also provides a code backup method of the visual code warehouse optimization method, which includes the following steps:

S601: After setting the fourth configuration area, a window pops up that requires the user to confirm the settings of the fourth configuration area again;

In this embodiment, as shown in Figure 7, an exemplary display shows that the pop-up window layer that requires the user to confirm the settings of the fourth configuration area again is covered on the third configuration area. The present invention has a The relative position is not specifically limited. Figure 7 is only an exemplary display. It can also be in other positions. Other pop-up positions and methods that achieve the effect of the present invention all fall within the protection scope of the present invention. The pop-up window that requires the user to confirm the settings of the fourth configuration area again is displayed as a window asking whether to confirm whether to delete the selected file and two option windows of OK and Cancel. Benefiting from this configuration, users can be effectively prevented from deleting codes by mistake.

S602: In response to the user confirming the settings of the fourth configuration area again, generate a backup code for the code to be deleted in the third configuration area selected by the user;

In this embodiment, in response to the user confirming the setting of the fourth configuration area again, the backup of the code to be deleted is implemented by executing the backup script according to the code to be deleted in the third configuration area selected by the user, through the command line cp libcocoas2d. a ~/.back, realizes the backup of libcocoas2d.a file and generates .back backup file. Benefiting from the backup of deleted code by the backup script, it can effectively prevent misoperation or rollback of the code warehouse, and facilitate the protection of code integrity during code retrospective analysis. It is beneficial to isolate production code and non-production code, clean up the production code space in time, and prevent the production code from being too bloated and affecting the efficiency of the production code. At the same time, it can also save the cost of code warehouse.

S603: Delete the code to be deleted and generate a change record.

Optionally, in response to the user's settings in the fifth configuration area, the backup code is pushed to the preset second server address. In this embodiment, the backup code is pushed to the second server in response to the user's settings in the fifth configuration area, that is, the user confirms the execution of the one-click push. The second server is different from the first server and is used to store the backup code. The server receives the .back backup data through the second server address preset in the client tool. The second server address is set by default to the default address set by the client of the present invention, or any network storage space can be specified by the user. The present invention does not impose specific restrictions on the backup code push technology. It can be an ftp method or other data transmission methods that can achieve the technical effects of the present invention, which all fall within the protection scope of the present invention.

This invention takes the code operation steps and command line design of the Git code warehouse as an example, but the invention is not limited to this. If the invention is applied to other code management tools, the operation steps and command line selection can be adjusted adaptively. , adaptable adjustments that can achieve the same inventive purpose and technical effect all belong to the protection scope of the present invention.

In the visual code warehouse optimization method of this embodiment, the serial number of each step is only used to distinguish each step, and is not used to limit the specific execution order of each step. The execution order between the above steps can be adjusted and changed as needed.

In the visual code warehouse optimization method of this embodiment, the settings of each configuration area are only used for display and are not limited to setting a separate page. The settings of the configuration area can be configured as a separate page or as a certain part of the entire page. area, or it can be set as a certain functional area of other products. The settings of each configuration area can be adapted to achieve the same inventive purpose and technical effect, and the adaptability changes and adjustments belong to the present invention. protected range.

Embodiments of the present invention also provide a visual code warehouse optimization system, which includes a client and a server. The client includes a loading module M100, an analysis module M200, and an execution module M300. The server is provided with a second server address, and the server passes the second server address. Receive and store the backup code sent by the execution module M300. In the visual code warehouse optimization system of the present invention, the functions of each module can be implemented using the specific implementation of the visual code warehouse optimization method as described above.

An embodiment of the present invention also provides a visual code warehouse optimization device, including a processor; a memory in which executable instructions of the processor are stored; wherein the processor is configured to execute by executing the executable instructions. The steps of the visual code warehouse optimization method.

Those skilled in the art will understand that various aspects of the present invention may be implemented as systems, methods or program products. Therefore, various aspects of the present invention can be implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode warehouse, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as as "circuit", "module" or "platform".

An electronic device 600 according to this embodiment of the invention is described below with reference to FIG. 8 . The electronic device 600 shown in FIG. 8 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present invention.

As shown in Figure 8, electronic device 600 is embodied in the form of a general computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different system components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.

Wherein, the storage unit stores a program code warehouse, and the program code warehouse can be executed by the processing unit 610, so that the processing unit 610 executes various methods according to the present invention described in the visual code warehouse optimization method section of this specification. steps of an exemplary embodiment. For example, the processing unit 610 may perform steps as shown in FIG. 2 .

The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 6201 and/or a cache storage unit 6202, and may further include a read-only storage unit (ROM) 6203.

The storage unit 620 may also include a program/utility 6204 having a set of (at least one) program modules 6205 including, but not limited to: an operating system, one or more applications, other program modules, and programs. Data, each of these examples or some combination may include an implementation of a network environment.

Bus 630 may be a local area representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or using any of a variety of bus structures. bus.

Electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, Bluetooth device, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 600, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 600 to communicate with one or more other computing devices. This communication may occur through input/output (I/O) interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (eg, a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) through the network adapter 660 . Network adapter 660 may communicate with other modules of electronic device 600 via bus 630. It should be understood that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 600, including but not limited to: microcode repositories, device drivers, redundant processing units, external disk drive arrays, RAID systems, tapes drives and data backup storage systems, etc.

In the visual code warehouse optimization device, the steps of the visual code warehouse optimization method are implemented when the program in the memory is executed by the processor. Therefore, the device can also obtain the results of the visual code warehouse optimization method. technical effects.

Embodiments of the present invention also provide a computer-readable storage medium for storing a program that implements the steps of the visual code warehouse optimization method when the program is executed by a processor. In some possible implementations, various aspects of the present invention can also be implemented in the form of a program product, which includes a program code warehouse. When the program product is executed on a terminal device, the program code warehouse is used to use The terminal device performs the steps according to various exemplary embodiments of the present invention described in the above visual code warehouse optimization method section of this specification.

Referring to FIG. 9 , a program product 800 for implementing the above method according to an embodiment of the present invention is described. It can adopt a portable compact disk read-only memory (CD-ROM) and include a program code warehouse, and can be used on a terminal device. , such as running on a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus or device.

The program product may take the form of any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of readable storage media include: electrical connection with one or more conductors, portable disk, hard disk, random access memory (RAM), read only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above.

The computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave carrying a repository of readable program code therein. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A readable storage medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or device. The program code warehouse contained on the readable storage medium can be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

Program code repositories for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, etc., as well as conventional procedures programming language - such as "C" or a similar programming language. The program code repository may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or executed on the server. In situations involving remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device, such as provided by an Internet service. business to connect via the Internet).

When the program in the computer storage medium is executed by the processor, the steps of the visual code warehouse optimization method are implemented. Therefore, the computer storage medium can also obtain the technical effects of the visual code warehouse optimization method.

The above content is a further detailed description of the present invention in combination with specific preferred embodiments, and it cannot be concluded that the specific implementation of the present invention is limited to these descriptions. For those of ordinary skill in the technical field to which the present invention belongs, several simple deductions or substitutions can be made without departing from the concept of the present invention, and all of them should be regarded as belonging to the protection scope of the present invention.

Claims (10)

1. A visual code repository optimization method, comprising the steps of:

providing a loading information configuration interface on a client loading module, wherein a loading information configuration page comprises a first configuration area for configuring a code warehouse address;

responding to the setting of a user in a first configuration area to acquire a code warehouse to be optimized, and loading codes in the code warehouse to be optimized to the local;

providing an analysis information configuration interface on the client analysis module, wherein the analysis information configuration interface comprises a second configuration area for analysis function configuration and a third configuration area for displaying analysis results;

responding to the setting of the user in the second configuration area, analyzing the code and displaying the code in the third configuration area;

providing an execution function configuration interface on the client execution module, wherein the execution function configuration interface comprises a fourth configuration area for executing deletion and a fifth configuration area for executing pushing;

deleting the code to be deleted in response to the selection operation of the user on the third configuration area and the setting of the fourth configuration area, and generating a change record;

and responding to the setting of the user in the fifth configuration area, and pushing the change record to the corresponding first server address of the code warehouse.

2. The visual code repository optimization method of claim 1, wherein the first configuration area includes a server-side code repository configuration option, a local code repository configuration option, and a scan local folder configuration option.

3. The visual code repository optimization method of claim 2, wherein the server-side code repository configuration options include a server-side code repository address setting area, and the obtaining the code repository to be optimized is configured to be implemented by executing a loading script when a user configures a corresponding first server address of the code repository at the server-side code repository address setting area.

4. The visual code repository optimization method of claim 1, wherein the second configuration area includes an analyze by code file size option, a create time analyze by code option, a call time analyze by code option, and an analyze by custom rule option.

5. The visual code repository optimization method of claim 1, wherein the response to the user setting in the fifth configuration area is configured to invoke a push script.

6. The visual code repository optimization method according to claim 1, further comprising a code backup method comprising the steps of:

after the setting of the fourth configuration area, popping up a window for confirming the setting of the fourth configuration area again by the user;

responding to the user to confirm the setting of the fourth configuration area again, and generating a backup code by the codes to be deleted of the third configuration area selected by the user;

and deleting the code to be deleted, and generating a change record.

7. The visual code repository optimization method of claim 6, wherein the backup code is pushed to a preset second server address in response to a user setting in the fifth configuration area.

8. A visual code repository optimization system for implementing the visual code repository optimization method of any one of claims 1 to 7, the system comprising a client and a server, the client comprising a loading module, an analysis module and an execution module, the server being provided with a second server address, the server receiving and storing the backup code sent by the execution module via the second server address.

9. A visual code repository optimization apparatus, comprising:

a processor;

a memory having stored therein executable instructions of the processor;

wherein the processor is configured to perform the steps of the visual code repository optimization method of any one of claims 1 to 7 via execution of the executable instructions.

10. A computer-readable storage medium storing a program, characterized in that the program when executed by a processor implements the steps of the visual code warehouse optimization method of any one of claims 1 to 7.