Component installation script generation method, device, medium and product across operating systems

Abstract

This invention discloses a method, device, medium, and product for generating cross-operating system component installation scripts. The method includes: acquiring user installation requirements for a target component and performing natural language parsing to obtain key component installation information; wherein the key installation information includes: the target component, the target operating system, and the installation method; inputting the key installation information into a trained deep learning model and performing chained reasoning to obtain an installation script framework for the target component on the target operating system; acquiring a preset installation script for the target component on a reference operating system, and generating a target installation script for the target component on the target operating system based on the installation script framework, the preset installation script, and the reference operating system; and installing the target component on the target operating system according to the installation method specified in the target installation script. This method can automatically generate and install cross-operating system component installation scripts based on user installation requirements.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence technology, and in particular to a method, device, medium, and product for generating component installation scripts across operating systems. Background Technology

[0002] In software development and operations, cross-platform installation of application components is a complex and time-consuming task. Different operating systems have different characteristics, and component installation specifications vary, making traditional manual installation script writing a significant challenge.

[0003] Manually writing installation scripts requires creating separate scripts for different application components for different operating systems. Traditional manual methods demand that system administrators possess solid programming skills and extensive system knowledge, and the coding work is arduous and inefficient. Inconsistent coding styles among different administrators lead to poor script reusability, necessitating recoding for similar tasks and increasing later maintenance costs. Furthermore, manual coding has a high error rate and poor compatibility with different operating systems.

[0004] Existing technologies employ artificial intelligence (AI) to generate installation scripts for different application components across various operating systems. However, relying entirely on AI for script generation requires prohibitively high network training costs. Therefore, there is an urgent need for a new method to automatically generate cross-operating system component installation scripts, improving upon the current situation of manually writing scripts while reducing AI costs. Summary of the Invention

[0005] This invention provides a method, device, medium, and product for generating cross-operating system component installation scripts, enabling automatic script generation and installation of cross-operating system components according to user installation requirements.

[0006] According to one aspect of the present invention, a method for generating component installation scripts across operating systems is provided, the method comprising: The system obtains the user's installation requirements for the target component and performs natural language parsing on the installation requirements to obtain key component installation information. The key component installation information includes: the target component, the target operating system, and the installation method. The key installation information is input into a trained deep learning model, and chain reasoning is performed to obtain an installation script framework for the target components of the target operating system; wherein, the installation script framework includes: the package management characteristics, file system structure and service management method of the target operating system; Obtain the preset installation script of the target component in the reference operating system, and generate the target installation script of the target component in the target operating system based on the installation script framework, the preset installation script and the reference operating system; The target component is installed on the target operating system according to the target installation script and the installation method described herein.

[0007] According to another aspect of the present invention, a cross-operating system component installation script generation apparatus is provided, the apparatus comprising: The component installation key information determination module is used to obtain the user's installation requirements for the target component, and to perform natural language parsing on the installation requirements to obtain the component installation key information; wherein, the component installation key information includes: target component, target operating system, and installation method; The installation script framework determination module is used to input the key installation information into a trained deep learning model and perform chain reasoning to obtain the installation script framework for the target components of the target operating system; wherein, the installation script framework includes: the package management characteristics, file system structure and service management method of the target operating system. The target installation script generation module is used to obtain the preset installation script of the target component in the reference operating system, and generate the target installation script of the target component in the target operating system according to the installation script framework, the preset installation script and the reference operating system. The target component installation module is used to install the target component on the target operating system according to the target installation script and the installation method.

[0008] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and a memory communicatively connected to said at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to execute the cross-operating system component installation script generation method according to any embodiment of the present invention.

[0009] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the cross-operating system component installation script generation method according to any embodiment of the present invention.

[0010] According to another aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the cross-operating system component installation script generation method described in any embodiment of the present invention.

[0011] The technical solution of this invention obtains key installation information for a target component by acquiring user installation requirements and performing natural language parsing on the installation requirements. This key installation information includes the target component, the target operating system, and the installation method. The key installation information is input into a trained deep learning model, and chain reasoning is used to obtain an installation script framework for the target component on the target operating system. The installation script framework includes the package management characteristics, file system structure, and service management method of the target operating system. A preset installation script for the target component on a reference operating system is obtained, and a target installation script for the target component on the target operating system is generated based on the installation script framework, the preset installation script, and the reference operating system. The target component is then installed on the target operating system using the installation method described in the target installation script. This solves the problem of automatic script generation and installation of application components on different operating systems. It enables automatic script generation and installation of components across operating systems based on user installation requirements, improving the low efficiency, poor script reusability, high maintenance costs, high error rates, and poor cross-platform compatibility of existing manual coding development while reducing the cost of artificial intelligence applications.

[0012] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a flowchart of a method for generating cross-operating system component installation scripts according to Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of an online installation process provided according to Embodiment 1 of the present invention; Figure 3 This is a schematic diagram of an offline installation process provided according to Embodiment 1 of the present invention; Figure 4This is a flowchart of a cross-operating system component installation script generation method according to Embodiment 2 of the present invention; Figure 5 This is a schematic diagram of a deep learning model performing chained reasoning according to Embodiment 2 of the present invention; Figure 6 This is a schematic diagram of a cross-operating system component installation script generation device according to Embodiment 3 of the present invention; Figure 7 This is a schematic diagram of the structure of an electronic device that implements the cross-operating system component installation script generation method of this invention. Detailed Implementation

[0015] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0016] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0017] Example 1 Figure 1 This is a flowchart of a cross-operating system component installation script generation method according to Embodiment 1 of the present invention. This embodiment is applicable to the automatic installation of application components in different operating systems. The method can be executed by a cross-operating system component installation script generation device, which can be implemented in hardware and / or software. This cross-operating system component installation script generation device can be configured in electronic devices such as computers, mobile phones, tablets, wearable devices, or servers. Figure 1 As shown, the method includes: Step 110: Obtain the user's installation requirements for the target component, and perform natural language parsing on the installation requirements to obtain key information for component installation.

[0018] For example, a user interaction layer can be set up in an electronic device. This layer receives user input regarding installation requirements for a target component, such as text and / or voice data. The user interaction layer can be a web interface, a command-line tool, an integrated development environment (IDE) plugin, etc. For example, the installation requirement might be "Install MySQL 8.0 on Windows Server 2019".

[0019] Natural language processing (NLP) can be used to parse installation requirement information using artificial intelligence (AI) models, neural network models, machine learning models, or text language parsers to obtain key information about component installation. NLP can also process installation requirement information through intent recognition, entity extraction, and requirement analysis.

[0020] The key information for component installation includes: the target component, the target operating system, and the installation method. For example, based on the installation requirements information given above, natural language parsing reveals that the target component is "MySQL 8.0," indicating a database application component; the target operating system is "Windows Server 2019"; and the installation method is "missing."

[0021] In this embodiment of the invention, the target components include, but are not limited to: MySQL (an open-source relational database), Nginx (a web server), PostgreSQL (an open-source relational database), MongoDB (a document-oriented database), and Redis (an in-memory key-value database); the operating systems include, but are not limited to: Ubuntu, CentOS, Windows, Linux, macOS, and FreeBSD.

[0022] Step 120: Input the key installation information into the trained deep learning model and perform chain reasoning to obtain the installation script framework for the target components of the target operating system.

[0023] In this embodiment of the invention, the deep learning model can be generated by training a large amount of cross-operating system application component installation script data. The deep learning model can adopt the Transformer architecture. The trained deep learning model can understand the installation specifications and best practices of different operating systems for application components. Therefore, the trained deep learning model can perform chain-like reasoning on the target components and target operating systems in the key installation information to obtain the installation script framework. For example, the installation script framework can be obtained by the deep learning model based on the training data, following the download, decompression, configuration, and startup chain of the target component during installation on the target operating system.

[0024] The installation script framework includes: the target operating system's package management features, file system structure, and service management methods. Package management features refer to the target operating system's management mechanisms for installing, uninstalling, and updating application components. The file system structure refers to the rules by which the target operating system stores and organizes files. Service management methods refer to how the target operating system starts or stops application components. For example, Windows operating systems use `choco install` or `winget install` (tool name, automatically downloads and installs software). Ubuntu / Debian operating systems use `apt-get install` (tool name, automatically downloads and installs software). CentOS / RHEL uses `yum install` (tool name, automatically downloads and installs software). Linux operating systems use `dpkg -i` or `rpm -ivh` (tool name, downloads and installs software). Windows operating systems have a file system structure that separates drive letters, software, system, and user directories. Linux operating systems have a tree structure, such as root directory, configuration, users, software, logs, and data. Windows operating systems use an operation-service approach (e.g., `start-service`). Linux operating systems use a system-service name approach (e.g., `systemctl start`).

[0025] The installation script framework for installing target components on a target operating system is obtained through inference using a trained deep learning model, which facilitates the subsequent generation of the installation script based on this framework. The application of artificial intelligence technology in this embodiment lies in determining the installation script framework, rather than directly generating the application component installation script through AI, thus avoiding the high costs and complexity of model training.

[0026] Step 130: Obtain the preset installation script of the target component in the reference operating system, and generate the target installation script of the target component in the target operating system based on the installation script framework, the preset installation script and the reference operating system.

[0027] The preset installation script can be a script that has been written, debugged, and tested successfully for installing the target component on the reference operating system. In other words, the preset installation script can directly install the target component on the reference operating system. The preset installation script can be manually written, debugged, and tested by operations and maintenance personnel.

[0028] There are several ways to generate a target installation script. For example, when the target operating system is the same as the reference operating system, a default installation script can be directly used as the target installation script. Alternatively, when the target operating system is the same as the reference operating system, the default installation script can be optimized using an installation script framework, such as by checking and updating package management features, file system structure, and service management methods, to obtain the target installation script. When the target operating system is different from the reference operating system, the default installation script can be modified using an installation script framework to obtain the target installation script. For example, modifying the content related to package management features, file system structure, and service management methods in the default installation script will yield the target installation script. By optimizing or modifying the default installation script according to the installation script framework, the target installation script can be made to conform to syntax specifications and the target operating system's script management and processing methods. Code formatting, syntax checking, and semantic analysis can also be performed on the target installation script to further optimize it.

[0029] To better modify the preset installation script to obtain the target installation script, optionally, a target installation script for the target component to be installed on the target operating system can be generated based on the installation script framework, the preset installation script, and the reference operating system. This includes: when the target operating system and the reference operating system are different, determining the initial installation script for the target component to be installed on the target operating system based on the installation script framework and the preset installation script; and performing difference processing on the initial installation script based on the cross-operating system mapping relationship between the target operating system and the reference operating system to obtain the target installation script. The cross-operating system mapping relationship includes: command mapping relationship, path conversion mapping relationship, environment variable mapping relationship, and script format conversion mapping relationship.

[0030] The initial installation script can be obtained by modifying a preset installation script using an installation script framework. The target installation script can be obtained by performing differential processing on the initial installation script. This differential processing can be achieved through information replacement using cross-operating system mapping relationships. Command mapping relationships can be cross-operating system command mappings, including package management command mappings, file operation command mappings, and service management command mappings. Using command mapping relationships for differential processing can be a further supplementary process to the processing of the preset installation script using the installation script framework. For example, package management command mapping can establish a mapping relationship between the apt-get install command in Ubuntu / Debian operating systems and the choco install (or winget install) command in Windows operating systems; a mapping relationship between the yum install command in CentOS / RHEL operating systems and the choco install (or winget install) command in Windows operating systems; and a mapping relationship between the dpkg-i (or rpm-ivh) command in Linux operating systems and the MSI installation command in Windows operating systems.

[0031] For example, file operation command mapping can establish mapping relationships between the Linux operating system commands cp, mv, rm, chown, chmod, and mkdir -p, and the Windows operating system commands Copy-Item, Move-Item, Remove-Item, icacls, attrib, and New-Item-ItemTypeDirectory –Force, respectively. Similarly, service management command mapping can establish mapping relationships between the Linux operating system commands systemctl start mysql, systemctl enable mysql, and systemctl status mysql, and the Windows operating system commands Start-Service mysql, Set-Service -Name mysql -StartupType Automatic, and Get-Service mysql, respectively.

[0032] For example, path translation mappings can be mappings formed by differences in file paths across operating systems. For instance, the mapping between the / var / lib / mysql path in Linux and the C:\Program Files\MySQL path in Windows; or the mapping between the C:\Program Files\MySQL path in Windows and the / opt / mysql path in Linux.

[0033] Environment variable mapping can be a standardized adaptation of environment variables across operating systems, such as converting $PATH in Linux to %PATH% in Windows. Script format conversion mapping can be used to convert the format of scripts across operating systems, such as converting newline character formats and encoding formats.

[0034] By performing cross-operating system difference processing on the initial installation script through command mapping, path conversion mapping, environment variable mapping, and script format conversion mapping, a target installation script that conforms to the installation specifications of the target operating system can be obtained.

[0035] To further improve the standardization of target installation script generation, based on the above implementation method, optionally, the initial installation script for the target component to be installed on the target operating system is determined according to the installation script framework and the preset installation script, including: obtaining the component installation knowledge base of the target component; and determining the initial installation script for the target component to be installed on the target operating system according to the component installation knowledge base, the installation script framework and the preset installation script.

[0036] The component installation knowledge base can be obtained by organizing the knowledge involved in the installation and use of the target component. Optionally, obtaining the component installation knowledge base of the target component includes: extracting installation process knowledge, dependency knowledge, configuration parameter knowledge, security specification knowledge, and error handling knowledge based on the historical installation information of the target component; and generating the component installation knowledge base of the target component based on the installation process knowledge, dependency knowledge, configuration parameter knowledge, security specification knowledge, and error handling knowledge.

[0037] Installation process knowledge can include standard installation procedures for different versions of the target component on various operating systems. Dependency knowledge can include a dependency graph of the target component and its related components. Configuration parameter knowledge can include commonly used configuration parameters, default values, and recommended values ​​for the target component. Security specification knowledge can include best practices and regulatory requirements for the installation of the target component. Error handling knowledge can include installation errors of the target component and their solutions.

[0038] By generating a component installation knowledge base for the target components based on knowledge of installation processes, dependencies, configuration parameters, security standards, and error handling, the reliability of the initial installation script can be further improved, making the script standardized and enhancing the installation reliability of the target components on the target operating system.

[0039] When generating the initial installation script, the script can be optimized using an installation script framework based on the preset installation script, and further adjusted using knowledge from the component installation knowledge base. For example, the dependency knowledge in the component installation knowledge base can be used to determine whether the initial installation script contains the corresponding related components, and the relevant components can be added if they are not included. Alternatively, the dependency knowledge in the component installation knowledge base can be used to determine whether the initial installation script includes commonly used configuration parameters of the target components, and check whether their parameter values ​​are default or recommended values; if not, adjustments can be made based on the knowledge.

[0040] Step 140: Install the target components on the target operating system according to the target installation script and the installation method.

[0041] The installation method can include online installation or offline installation. Figure 2 This is a schematic diagram of an online installation process provided according to Embodiment 1 of the present invention. Figure 3 This is a schematic diagram of an offline installation process according to Embodiment 1 of the present invention. Figure 2 As shown, the online installation process for the target component is as follows: The user inputs their installation requirements for the target component at the user interaction layer; the user interaction layer transmits these requirements to the natural language processing layer for requirement parsing to obtain the target component, target operating system, and installation method, and outputs structured key component installation information to the AI ​​model inference layer; the AI ​​model inference layer can perform chained reasoning based on the key component installation information to obtain an installation script framework for the target component on the target operating system; alternatively, the AI ​​model inference layer can query knowledge in the component installation knowledge base and perform chained reasoning based on the key component installation information to obtain an installation script framework for the target component on the target operating system; the script generation layer can generate an initial installation script based on the installation script framework and perform script format and syntax checks; the cross-platform adaptation layer can obtain the initial installation script output by the script generation layer, perform difference processing, and obtain the target installation script; the installation execution layer can obtain the target installation script, perform environment detection, dependency analysis, online download of components and dependency packages, execute the target installation script, and perform configuration verification, finally feeding back the installation result to the user interaction layer, which can then display the installation result to the user.

[0042] like Figure 3As shown, the offline installation process for a target component can be as follows: the user uploads or specifies an offline data package containing the target component and its dependent components to the offline package management layer; the offline package management layer performs integrity verification and version matching of the offline data package and reports the preparation status of the offline data package to the user interaction layer. The offline data package generation process can include: the user inputs installation requirements for the target component; the user interaction layer transmits the installation requirements to the natural language processing layer for requirement parsing to obtain the target component, target operating system, and installation method, and outputs structured key component installation information to the AI ​​model inference layer; the AI ​​model inference layer can perform chained reasoning based on the key component installation information to obtain an installation script framework for the target component on the target operating system; alternatively, the AI ​​model inference layer can query knowledge in a local offline component installation knowledge base and perform chained reasoning based on the key component installation information to obtain an installation script framework for the target component on the target operating system; the AI ​​model inference layer can be in a local offline state; the script generation layer can generate an initial installation script based on the installation script framework and perform script format and syntax checks; the cross-platform adaptation layer can obtain the initial installation script output by the script generation layer, perform difference processing, and obtain the offline target installation script, i.e., the offline data package. In offline installation, the installation execution layer can obtain information about the offline target installation script in the offline package management layer, perform environment detection, dependency analysis, obtain offline data packages, execute the offline target installation script and perform configuration verification, and finally feed back the installation result to the user interaction layer, which can then display the installation result to the user.

[0043] Online installation can automatically download and handle dependencies, detect and download the latest or specified version of the installation package, and provide download progress display and resume functionality. Offline installation can download the installation package and dependency data packages in an environment with internet access, and perform offline data package integrity verification. It is suitable for installing target components on target operating systems using various methods.

[0044] The technical solution of this embodiment obtains key installation information for the component by acquiring the user's installation requirements for the target component and performing natural language parsing on the installation requirements. This key installation information includes the target component, the target operating system, and the installation method. The key installation information is input into a trained deep learning model, and chain reasoning is used to obtain an installation script framework for the target component on the target operating system. The installation script framework includes the package management characteristics, file system structure, and service management method of the target operating system. A preset installation script for the target component on a reference operating system is obtained, and a target installation script for the target component on the target operating system is generated based on the installation script framework, the preset installation script, and the reference operating system. The target component is then installed on the target operating system according to the installation method specified in the target installation script. This solves the problem of automatic script generation and installation of application components on different operating systems. It can achieve automatic script generation and installation of components across operating systems based on user installation requirements, improving the low efficiency, poor script reusability, high maintenance costs, high error rates, and poor cross-platform compatibility of existing manual coding development while reducing the cost of artificial intelligence applications.

[0045] Example 2 Figure 4 This is a flowchart of a cross-operating system component installation script generation method according to Embodiment 2 of the present invention. This embodiment is a further addition and refinement of the above technical solution, and the technical solution in this embodiment can be combined with various optional solutions in one or more of the above embodiments. Figure 4 As shown, the method includes: Step 410: Obtain the user's installation requirements for the target component, and perform natural language parsing on the installation requirements to obtain key information for component installation.

[0046] The key information for component installation includes: the target component, the target operating system, and the installation method.

[0047] Step 420: Input the key installation information into the trained deep learning model and perform chain reasoning to obtain the installation script framework for the target components of the target operating system.

[0048] The installation script framework includes the target operating system's package management features, file system structure, and service management methods.

[0049] Optionally, the key installation information is input into a trained deep learning model to perform chained reasoning to obtain an installation script framework for the target component of the target operating system. This includes: extracting knowledge from the component installation knowledge base to obtain a component installation condition vector; inputting the key installation information and the component installation condition vector into the encoder of the trained deep learning model to obtain a component installation semantic feature vector; using the multi-head attention mechanism in the trained deep learning model to extract the component installation context information from the component installation semantic feature vector; planning the installation process of downloading, decompressing, configuring, and starting the target component based on the component installation context information through chained reasoning in the trained deep learning model; and obtaining the installation script framework for the target component of the target operating system based on the installation process through the decoder in the trained deep learning model.

[0050] Figure 5 This is a schematic diagram illustrating the chain-like reasoning process using a deep learning model according to Embodiment 2 of the present invention. Figure 5 As shown, a deep learning model can include an input layer, encoder, attention mechanism, chained reasoning mechanism, decoder, and output layer. The deep learning model can be pre-trained using multi-component installation cases across operating systems, installation knowledge, error cases, and solutions. During chained reasoning using the deep learning model, knowledge from the component installation knowledge base can be used as additional input; that is, key installation information and component installation condition vectors are simultaneously input into the encoder of the trained deep learning model to obtain the component installation semantic feature vector. The multi-head attention mechanism can focus on key information and capture contextual associations such as time, component name, and target path on the component installation semantic feature vector to obtain the component installation context information. Chained reasoning can use chain-of-thought to optimize the installation process according to logical step rules and error correction to obtain the installation process of downloading, decompressing, configuring, and starting the target component. The decoder generates script sequences, standardizes syntax, and imposes constraints based on the installation process to obtain the installation script framework. The output layer can output the installation script framework so that the script generation layer can generate the initial installation script based on the installation script framework.

[0051] Using deep learning models to assist in the generation of initial installation scripts can improve the reliability of the installation scripts, while avoiding complete reliance on AI models during installation script generation. This reduces the cost of introducing AI models and enables automated installation of target components.

[0052] Step 430: Obtain the default installation script of the target component in the reference operating system and the component installation knowledge base of the target component.

[0053] Optionally, obtain the component installation knowledge base of the target component, including: extracting installation process knowledge, dependency knowledge, configuration parameter knowledge, security specification knowledge, and error handling knowledge based on the historical installation information of the target component; and generating the component installation knowledge base of the target component based on the installation process knowledge, dependency knowledge, configuration parameter knowledge, security specification knowledge, and error handling knowledge.

[0054] Step 440: Based on the component installation knowledge base, installation script framework, and preset installation scripts, determine the initial installation script for the target component on the target operating system.

[0055] Step 450: Based on the cross-operating system mapping relationship between the target operating system and the reference operating system, perform differential processing on the initial installation script to obtain the target installation script.

[0056] The cross-operating system mapping relationships include: command mapping relationships, path conversion mapping relationships, environment variable mapping relationships, and script format conversion mapping relationships.

[0057] Step 460: When the installation method is missing, obtain the network information of the target operating system.

[0058] Network information may include: whether there is an external network, network communication quality, and network security performance.

[0059] Step 470: Determine the installation method based on the network information.

[0060] The installation methods include online installation and offline installation. When determining the installation method based on network information, it can include: offline installation when there is no external network (i.e., an intranet environment); and offline installation when there is an external network, based on network communication quality and network security performance. Optionally, online installation can be determined if the network communication quality is greater than a preset quality value and the network security performance is greater than a preset security value; otherwise, offline installation can be determined. For example, the calculation of the first product of network communication quality and a first weight value, and the second product of network security performance and a second weight value, can be performed. If the product of the first and second products is greater than a preset installation index value, online installation can be determined; otherwise, offline installation can be determined.

[0061] By intelligently judging network information to determine the installation method, the appropriate installation method can be selected based on the network conditions of the target operating system.

[0062] Step 480: Install the target components on the target operating system according to the target installation script and the installation method.

[0063] Optionally, the installation of the target component on the target operating system using the installation method based on the target installation script also includes: monitoring the installation process of the target component on the target operating system and obtaining installation progress information and error information during the installation process; providing information prompts based on the installation progress information and error information; and performing error diagnosis and installation recovery processing based on the error information.

[0064] Error diagnosis and installation recovery can be achieved by applying error handling knowledge from the component installation knowledge base of the target component.

[0065] The technical solution of this invention obtains user installation requirements for a target component and performs natural language parsing on these requirements to obtain key installation information. This key information is then input into a trained deep learning model for chain-like reasoning to obtain an installation script framework for the target component on the target operating system. A preset installation script for the target component on a reference operating system and a component installation knowledge base are obtained. Based on the component installation knowledge base, the installation script framework, and the preset installation script, an initial installation script for the target component on the target operating system is determined. Based on the cross-operating system mapping relationship between the target and reference operating systems, the initial installation script undergoes differential processing to obtain the target installation script. When the installation method is missing, network information for the target operating system is obtained. The installation method is determined based on the network information. The target component is then installed on the target operating system according to the installation method specified in the target installation script. This solves the problem of automatic script generation and installation of application components on different operating systems. It enables automatic script generation and installation of components across operating systems based on user installation requirements, improving upon existing manual coding development methods that suffer from low efficiency, poor script reusability, high maintenance costs, high error rates, and poor cross-platform compatibility while reducing the cost of artificial intelligence applications.

[0066] Specifically, the cross-operating system component installation script generation method provided in this invention has the following technical effects: It can automatically generate installation scripts for specific application components such as MySQL and Nginx on various operating systems such as Ubuntu, CentOS, and Windows, and supports both online automatic installation and offline packaged integrated installation, meeting deployment needs in different environments. AI model-assisted installation script generation improves efficiency, reducing traditional manual writing time by more than 70%, significantly improving the work efficiency of operations and maintenance personnel. Furthermore, the installation scripts adhere to good programming standards and best practices, resulting in high-quality code with a low error rate, effectively improving the reliability and stability of automated tasks. Cross-operating system difference processing ensures that the generated installation scripts can execute correctly on multiple operating systems, enhancing cross-platform compatibility. AI models and difference processing address the adaptive capabilities of installation scripts across operating systems, significantly reducing script maintenance costs and improving script maintainability and reusability.

[0067] This invention features deep optimization for application components (such as MySQL) and the construction of a component installation knowledge base, enabling it to understand and handle the specific requirements and specifications of database installation. Compared to existing technologies that primarily target general software components, this invention offers significant advantages in component specificity. It also supports multiple operating systems, including Ubuntu, CentOS, and Windows, ensuring correct execution of the generated installation scripts on various operating systems through a unified technical architecture and intelligent platform adaptation mechanisms. The comprehensive support for Windows, in particular, overcomes the shortcomings of existing technologies. It supports both online automatic installation and offline packaged integrated installation, automatically selecting the appropriate installation method based on the network conditions of the target environment or flexibly choosing according to user needs through an intelligent judgment mechanism. Employing a Transformer-based deep learning architecture, combined with application component expertise, and trained on a large amount of cross-platform installation script data, it generates high-quality, highly reliable installation scripts. A robust cross-platform command mapping and path conversion mechanism automatically handles differences between different operating systems, ensuring excellent cross-platform compatibility of the generated scripts.

[0068] According to experimental data, the cross-operating system component installation script generation method of this invention reduces the average generation time of each installation script from the traditional 2-3 hours to 10-15 minutes. The success rate on different operating systems reaches over 95%, a significant improvement compared to the 80% success rate of traditional manually written scripts. The error rate of the scripts is reduced by 70% compared to manually written scripts. The script generation and installation process of this invention significantly reduces the workload of maintenance personnel and lowers the labor costs for enterprises; for example, a medium-sized enterprise can save approximately 300,000-500,000 yuan in maintenance costs annually. Software deployment time is reduced from several days to several hours, significantly improving the speed of business launch for enterprises. It lowers the technical threshold for application component installation, enabling more SMEs and individual developers to quickly deploy database environments, promoting the popularization and application of database technology. The scripts follow best practices and security specifications, and the installation scripts generated by this invention can better ensure system security and reduce security vulnerabilities and risks.

[0069] For example, the first application example of the cross-operating system component installation script generation method provided in this embodiment of the invention is the online automatic installation of the MySQL component on the Ubuntu operating system. The target operating system is Ubuntu 20.04 LTS, the target component is MySQL 8.0.33, and the installation method is online installation. For example, a user inputs the following natural language description through a web interface: "Install MySQL 8.0.33 on Ubuntu 20.04". The natural language processing layer parses the user input and extracts key component installation information: the target operating system is Ubuntu 20.04 LTS, the target component is MySQL 8.0.33, and the installation method is online installation. The deep learning model generates a MySQL installation script framework for the Ubuntu system based on the MySQL component installation knowledge base. The script generation layer generates an initial installation script based on the preset installation scripts and the installation script framework for the MySQL component. #! / bin / bash # MySQL 8.0.33 automatic installation script for Ubuntu 20.04 # Update package lists sudo apt-get update -y # Install MySQL server sudo apt-get install mysql-server=8.0.33-1ubuntu20.04 -y # Secure MySQL installation sudo mysql_secure_installation < <EOF y MyNewPass4! MyNewPass4! y y y y EOF # Configure MySQL sudo systemctl enable mysql sudo systemctl start mysql # Verify installation mysql --version systemctl status mysql In the difference processing, since both the target and reference operating systems are Ubuntu, no difference processing is needed; a Bash script is generated directly. After the user confirms the script content, the installation command is executed, and the script is run automatically to complete the installation and configuration of MySQL. Progress and status information are displayed in real time during the installation process.

[0070] After installation, you can check the MySQL service status using `systemctl status mysql`, verify the MySQL version using `mysql --version`, and test the database connection using `mysql -u root -p`. The entire installation process takes approximately 5-8 minutes, a significant improvement compared to the 30-45 minutes of traditional manual installation. The installation success rate is 100%, and the generated script conforms to Ubuntu system installation specifications and best practices.

[0071] The second application example of the cross-operating system component installation script generation method provided in this embodiment of the invention is: offline packaged integrated installation of MySQL on Windows Server 2019. The target component is MySQL 8.0.33, the target operating system is Windows Server 2019, and the installation method is offline installation. The offline data package location is: D:\mysql-offline\mysql-8.0.33-winx64.zip. The user enters the following command through the command line tool: "deploy mysql 8.0.33on windows server 2019 offline D:\mysql-offline". The natural language processing layer parses the user input and extracts key component installation information: target component MySQL 8.0.33, target operating system Windows Server 2019, installation method is offline installation; offline data package location is: D:\mysql-offline\mysql-8.0.33-winx64.zip. The deep learning model generates an offline installation script framework based on the installation characteristics of the Windows operating system, taking into account the Windows operating system's file system structure (NTFS), service control manager, package management features, and system environment variables. The script generation layer generates an initial installation script based on the preset installation script and the offline installation script framework. # MySQL 8.0.33 offline installation script for Windows Server 2019 # Set execution policy Set-ExecutionPolicy RemoteSigned -Scope Process -Force # Define variables $mysqlZip = "D:\mysql-offline\mysql-8.0.33-winx64.zip" $installDir = "C:\Program Files\MySQL\MySQL Server 8.0" $dataDir = "C:\ProgramData\MySQL\MySQL Server 8.0\Data" $tempDir = "$env:TEMP\mysql-install" # Create temporary directory New-Item -ItemType Directory -Path $tempDir -Force # Extract MySQL archive Expand-Archive -Path $mysqlZip -DestinationPath $tempDir -Force # Move to installation directory Move-Item -Path "$tempDir\mysql-8.0.33-winx64" -Destination $installDir -Force # Create data directory New-Item -ItemType Directory -Path $dataDir -Force # Initialize MySQL data directory & "$installDir\bin\mysqld.exe" --initialize-insecure --user=mysql --basedir="$installDir" --datadir="$dataDir" # Install MySQL service & "$installDir\bin\mysqld.exe" --install MySQL80 --defaults-file="$installDir\my.ini" # Start MySQL service Start-Service MySQL80 # Configure environment variables $currentPath = [Environment]::GetEnvironmentVariable("Path", "Machine") if (-not $currentPath.Contains("C:\Program Files\MySQL\MySQL Server8.0\bin")) { [Environment]::SetEnvironmentVariable("Path", "$currentPath;C:\Program Files\MySQL\MySQL Server 8.0\bin", "Machine") } # Verify installation & "$installDir\bin\mysql.exe" --version Get-Service MySQL80 The target operating system is Windows. A PowerShell script is generated instead of a Bash script to handle cross-system differences, such as automatically converting path formats to Windows format (using backslashes \ instead of forward slashes / ); and mapping commands to their corresponding Windows commands (e.g., using Expand-Archive instead of unzip) to obtain the target installation script.

[0072] The user executes the PowerShell script: .\mysql-install.ps1, which automatically completes the offline installation and configuration of MySQL, providing detailed progress prompts and error handling during the installation process. The script checks the MySQL service status using `Get-Service MySQL80`, verifies the MySQL version using `mysql --version`, and tests the database connection using `mysql -u root`.

[0073] The entire offline installation process took approximately 10-15 minutes and successfully deployed MySQL on Windows Server 2019. The generated installation script fully considered the characteristics and requirements of the Windows system, ensuring the stability and reliability of the installation.

[0074] The third application example of the cross-operating system component installation script generation method provided in this embodiment of the invention is: intelligent adaptation installation of MySQL on CentOS 8. The target component is MySQL 8.0.33, the target operating system is CentOS 8, and the installation method is missing. For example, the user enters "install mysql 8.0.33 on centos 8" through an IDE plugin. The natural language processing layer parses the user input and extracts key component installation information: target component MySQL 8.0.33, target operating system CentOS 8, and missing installation method. First, the network information of the target operating system can be detected, and the installation method can be determined based on the network information, such as determining that the installation method is online installation. The deep learning model, based on the system characteristics of CentOS 8 (using the dnf package manager), considers the system requirements of CentOS 8 and the official support of MySQL, and generates an installation script framework. The script generation layer generates an initial installation script based on the preset installation script and the installation script framework. #! / bin / bash # MySQL 8.0.33 automatic installation script for CentOS 8 # Enable PowerTools repository (required for MySQL 8.0) sudo dnf config-manager --set-enabled PowerTools # Update package lists sudo dnf update -y # Install MySQL server sudo dnf install mysql-community-server-8.0.33-1.el8 -y # Start and enable MySQL service sudo systemctl enable --now mysql # Secure MySQL installation sudo mysql_secure_installation < <EOF y MyNewPass4! MyNewPass4! y y y y EOF # Verify installation mysql --version systemctl status mysql In handling cross-operating system differences, it was determined that CentOS 8 uses the dnf package manager instead of yum for mapping relationships, such as adapting command and path formats to Linux system specifications. Additionally, based on the knowledge that MySQL 8.0 on CentOS 8 requires mapping to the PowerTools repository, the PowerTools repository was launched to obtain the target installation script.

[0075] The execution script completes the installation of MySQL on CentOS 8 and verifies the MySQL service and version. It can identify CentOS 8's specific requirements during the difference handling process (requires the PowerTools repository), and the generated script is highly targeted, achieving a 100% installation success rate.

[0076] The fourth application example of the cross-operating system component installation script generation method provided in this embodiment of the invention is a multi-environment batch deployment case. The target operating systems are three servers (one Ubuntu 20.04, one CentOS 8, and one Windows Server 2019), and the target component is MySQL 8.0.33. The installation method is missing; each server can determine its installation method based on its own network information. For example, the user inputs the batch deployment requirement through a web interface: "deploy mysql 8.0.33 to all servers in the cluster". The operating system type and network information of each server are obtained. For example, it is determined that the first server is Ubuntu 20.04, and the installation is performed online; the second server is CentOS 8, and the installation is performed online; the third server is Windows Server 2019, and the installation is performed offline (offline data packages need to be prepared in advance). A deep learning model and differential processing determine that a Bash script is used for the Ubuntu operating system, a Bash script is used for the CentOS operating system, and a PowerShell script is used for the Windows operating system; and the generated target installation scripts are distributed to the corresponding servers. Simultaneously, installation tasks are initiated on three servers, with real-time monitoring of the installation progress and status of each server. Errors occurring during installation are immediately alerted, and automatic recovery attempts are attempted. A detailed installation report is generated, including installation time, log information, and error records. Through an intelligent batch deployment mechanism, three servers with different operating systems completed the installation and configuration of MySQL within 20 minutes, fully demonstrating the advantages of this invention in cross-platform batch deployment scenarios.

[0077] To verify the effectiveness and superiority of the technical solution of this invention, performance tests were conducted on dimensions such as script generation time, installation success rate, and cross-platform compatibility. Test results show that the average generation time for each installation script using the technical solution of this invention is reduced from the traditional 2-3 hours to 10-15 minutes, an efficiency improvement of over 90%. The generated installation scripts achieve a success rate of over 95% on different operating systems, a significant improvement compared to the 80% success rate of traditional manually written scripts. The error rate of the generated scripts is reduced by 70% compared to manually written scripts.

[0078] Example 3 Figure 6 This is a schematic diagram of a cross-operating system component installation script generation device according to Embodiment 3 of the present invention. Figure 6As shown, the device includes: a component installation key information determination module 610, an installation script framework determination module 620, a target installation script generation module 630, and a target component installation module 640. Wherein: The component installation key information determination module 610 is used to obtain the user's installation requirements for the target component and perform natural language parsing on the installation requirements to obtain the component installation key information; wherein, the component installation key information includes: target component, target operating system and installation method; The installation script framework determination module 620 is used to input key installation information into a trained deep learning model and perform chain reasoning to obtain the installation script framework for the target components of the target operating system. The installation script framework includes: the package management characteristics, file system structure, and service management methods of the target operating system. The target installation script generation module 630 is used to obtain the preset installation script of the target component in the reference operating system, and generate the target installation script of the target component in the target operating system based on the installation script framework, the preset installation script and the reference operating system. The target component installation module 640 is used to install the target component on the target operating system according to the target installation script and the installation method.

[0079] Optionally, the target installation script generation module 630 includes: The initial installation script generation unit is used to determine the initial installation script for the target components on the target operating system when the target operating system is different from the reference operating system, based on the installation script framework and the preset installation script. The target installation script generation unit is used to perform differential processing on the initial installation script based on the cross-operating system mapping relationship between the target operating system and the reference operating system to obtain the target installation script; The cross-operating system mapping relationships include: command mapping relationships, path conversion mapping relationships, environment variable mapping relationships, and script format conversion mapping relationships.

[0080] Optional, the initial installation script generation unit includes: The component installation knowledge base retrieval sub-unit is used to retrieve the component installation knowledge base of the target component. The initial installation script generation subunit is used to determine the initial installation script for the target component on the target operating system based on the component installation knowledge base, installation script framework, and preset installation scripts.

[0081] Optionally, the device may also include: The network information acquisition module is used to acquire the network information of the target operating system before the target components are installed on the target operating system according to the installation script and the installation method is in a missing state. The installation method determination module is used to determine the installation method based on network information; the installation methods include online installation and offline installation.

[0082] Optionally, install the script framework to determine module 620, specifically for: Extract knowledge from the component installation knowledge base to obtain the component installation condition vector; The key installation information and component installation condition vector are input into the encoder of the trained deep learning model to obtain the component installation semantic feature vector. The multi-head attention mechanism in the trained deep learning model is used to extract the component installation context information from the component installation semantic feature vector; Based on the component installation context information, the chain reasoning in the trained deep learning model plans the installation process of the target component, including downloading, decompressing, configuring, and starting. The decoder in the trained deep learning model obtains the installation script framework for the target components of the target operating system according to the installation process.

[0083] Optionally, the component installation knowledge base retrieves sub-units, specifically used for: Based on the historical installation information of the target components, extract installation process knowledge, dependency knowledge, configuration parameter knowledge, security specification knowledge, and error handling knowledge; Based on knowledge of installation processes, dependencies, configuration parameters, security standards, and error handling, a component installation knowledge base for the target component is generated.

[0084] Optionally, the device may also include: The monitoring module is used to monitor the installation process of the target components on the target operating system according to the installation script and the installation method, and to obtain installation progress information and error information during the installation process. The exception handling module is used to provide information prompts based on installation progress and error information; and to perform error diagnosis and installation recovery based on the error information.

[0085] The cross-operating system component installation script generation device provided in this embodiment of the invention can execute the cross-operating system component installation script generation method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0086] Example 4 Figure 7This is a schematic diagram of the structure of an electronic device implementing the cross-operating system component installation script generation method of this invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0087] like Figure 7 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) or random access memory (RAM), communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded into the RAM 13 from the storage unit 18. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. Input / output (I / O) interfaces are also connected to the bus 14.

[0088] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0089] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as cross-operating system component installation script generation methods.

[0090] In some embodiments, the cross-operating system component installation script generation method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the cross-operating system component installation script generation method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to execute the cross-operating system component installation script generation method by any other suitable means (e.g., by means of firmware).

[0091] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0092] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0093] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0094] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0095] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0096] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0097] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0098] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A component installation script generation method across operating systems, characterized by, include: The system obtains the user's installation requirements for the target component and performs natural language parsing on the installation requirements to obtain key component installation information. The key component installation information includes: the target component, the target operating system, and the installation method. The key installation information is input into a trained deep learning model, and chain reasoning is performed to obtain an installation script framework for the target components of the target operating system; wherein, the installation script framework includes: the package management characteristics, file system structure and service management method of the target operating system; Obtain the preset installation script of the target component in the reference operating system, and generate the target installation script of the target component in the target operating system based on the installation script framework, the preset installation script and the reference operating system. The target component is installed on the target operating system according to the target installation script and the installation method described herein.

2. The method according to claim 1, characterized in that, Based on the installation script framework, the preset installation script, and the reference operating system, a target installation script for installing the target component on the target operating system is generated, including: When the target operating system is different from the reference operating system, the initial installation script for the target component on the target operating system is determined based on the installation script framework and the preset installation script. Based on the cross-operating system mapping relationship between the target operating system and the reference operating system, the initial installation script is subjected to differential processing to obtain the target installation script; The cross-operating system mapping relationships include: command mapping relationships, path conversion mapping relationships, environment variable mapping relationships, and script format conversion mapping relationships.

3. The method according to claim 2, characterized in that, Based on the installation script framework and the preset installation script, determine the initial installation script for the target component on the target operating system, including: Obtain the component installation knowledge base of the target component; Based on the component installation knowledge base, the installation script framework, and the preset installation script, determine the initial installation script for the target component on the target operating system.

4. The method according to claim 1, characterized in that, Before installing the target component on the target operating system according to the target installation script and the installation method, the method further includes: When the installation method is missing, obtain the network information of the target operating system; The installation method is determined based on the network information; wherein, the installation method includes: online installation and offline installation.

5. The method according to claim 3, characterized in that, The installation key information is input into a trained deep learning model, and chain reasoning is performed to obtain an installation script framework for the target components of the target operating system, including: Extract the knowledge from the component installation knowledge base to obtain the component installation condition vector; The key installation information and the component installation condition vector are input into the encoder of the trained deep learning model to obtain the component installation semantic feature vector. The multi-head attention mechanism in the trained deep learning model is used to extract the component installation context information from the component installation semantic feature vector; Based on the component installation context information, the chain reasoning in the trained deep learning model is used to plan the installation process of the target component, including downloading, decompressing, configuring, and starting. The decoder in the trained deep learning model obtains the installation script framework for the target components of the target operating system according to the installation process.

6. The method according to claim 3, characterized in that, Obtain the component installation knowledge base of the target component, including: Based on the historical installation information of the target component, extract installation process knowledge, dependency knowledge, configuration parameter knowledge, security specification knowledge, and error handling knowledge; Based on knowledge of installation processes, dependencies, configuration parameters, security standards, and error handling, a component installation knowledge base for the target component is generated.

7. The method according to claim 1, characterized in that, The installation of the target component on the target operating system according to the target installation script and the installation method further includes: Monitor the installation process of the target component in the target operating system, and obtain installation progress information and error information during the installation process; Information prompts are provided based on the installation progress information and the error information; and error diagnosis and installation recovery are performed based on the error information.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and a memory communicatively connected to said at least one processor; wherein, The memory stores a computer program executable by the at least one processor, which is executed by the at least one processor to enable the at least one processor to perform the cross-operating system component installation script generation method according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the cross-operating system component installation script generation method according to any one of claims 1-7.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the cross-operating system component installation script generation method according to any one of claims 1-7.

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