A multi-source intelligent switching system based on npm package download
By using a multi-source intelligent switching system, the complex configuration and poor stability issues of the npm package manager download process have been resolved, resulting in an efficient and stable download experience. It also supports custom configurations and personalized strategies, thereby improving user satisfaction.
Patent Information
- Application Number
- CN202411835993.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2026-02-27
- Estimated Expiration
- 2044-12-13
AI Technical Summary
Existing npm package managers suffer from high configuration complexity, insufficient intelligence, lack of unified management configuration, and high update and maintenance costs during the download process, resulting in slow download speeds and poor stability.
Design a multi-source intelligent switching system that dynamically evaluates and automatically selects the best source for downloading by monitoring the response time, download speed, and stability of npm sources. It has a built-in efficient error handling and recovery mechanism and provides user-friendly configuration options and customizable switching strategies.
It improves download efficiency and stability, reduces user operation complexity, enhances user satisfaction, ensures efficient and stable completion of download tasks, and supports custom configuration and personalized experience.
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Figure CN119788654B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of software development and automation tools, particularly to the field of download optimization and acceleration for npm package managers. BACKGROUND
[0002] npm is a package manager for Node.js (a JavaScript runtime environment), which is an open-source command-line tool used to install, update, and manage Node.js modules. npm is the official module manager for Node.js, allowing users to download and install public Node.js modules from a centralized repository and integrate them into their own applications. npm allows users to download and install public Node.js modules from the npm repository, and modules can be quickly installed using the npm command. npm provides functions to manage modules, including upgrading and deleting modules. npm allows developers to publish their own modules to the npm repository for use by other developers.
[0003] Based on the technology of downloading dependencies from npm sources, there are mainly the following shortcomings:
[0004] (1) High configuration complexity: Existing systems often require users to manually configure multiple npm sources and manually switch when using, which increases the operational complexity of users. Users need to understand the characteristics and stability of each source in order to make a reasonable choice.
[0005] (2) Lack of intelligence: Although some existing systems provide intelligent switching functions, their evaluation mechanisms and switching logic may not be accurate and flexible enough to fully adapt to complex network environments and user needs.
[0006] (3) Lack of unified management configuration: Most existing systems lack a unified management configuration, and users need to manage npm sources and download tasks through multiple tools or command-line interfaces, which increases the difficulty and complexity of management.
[0007] (4) High cost of updating and maintenance: Existing systems need to be updated and maintained regularly to ensure the stability and security of their functions. However, with the rapid development and changes in the npm ecosystem, the cost of updating and maintaining the system may continue to increase. SUMMARY
[0008] The application aims to solve the problems of single source, slow download speed, and poor stability that may occur during npm package download. By automatically switching multiple npm sources, it achieves a more efficient package download experience. The system has the ability of automation and intelligent decision-making, which can automatically select the best npm source for download according to preset rules or real-time network conditions. The automation and intelligent features greatly reduce the user's operation burden and improve the download efficiency.
[0009] The technical solution of the application is a multi-source intelligent switching system based on npm package download. It designs a more accurate evaluation mechanism and a more flexible switching logic. By monitoring the average response time of each npm source to requests, including the first response time and subsequent request response time, it detects the download speed from each source in real time, measured in KB / s, and records the availability, error rate, and other indicators of the source to evaluate its stability and output to the console. According to the current network environment, the results of dynamic evaluation of the source, the priority of the download task, and the weight value of each source, the system dynamically selects the optimal source for download. The system continuously monitors the performance of each source during the download process and adjusts the switching strategy in real time according to the actual situation.
[0010] If the currently selected source has performance degradation or failure, the system will immediately switch to the alternative source to ensure that the download task is not affected. The system has an efficient error handling and recovery mechanism that can quickly respond and attempt to recover or switch to a new source for download when encountering errors or abnormal situations. It can adapt to complex network environments and user needs. Through network smoothness, network speed, and other aspects of detection, the system achieves intelligent and automated source selection.
[0011] The application improves the user experience in the npm package management process through intelligent switching strategies, optimized download speed and stability, and provides friendly user configuration and configuration options. This improvement not only reduces the user's manual operation and time cost, but also improves the success rate and efficiency of the download task, thereby enhancing the user's satisfaction.
[0012] npm multi-source download is an important part of the npm package management ecosystem. An efficient and intelligent download tool will promote the widespread dissemination and application of npm packages and promote the prosperity and development of the entire technology ecosystem. The system of this application proposal will inject new vitality and momentum into the npm package management ecosystem through its advanced technology and optimized user experience, promoting the emergence and application of more excellent npm packages.
[0013] By intelligent switching strategy, optimizing download speed and stability, and providing friendly user configuration and configuration options, the user experience in the npm package download management process is improved. The user's manual operation and time cost are improved, the success rate and efficiency of the download task are improved, and the user's satisfaction is enhanced. The intelligent switching strategy can automatically select the best npm source for download according to real-time network conditions and preset rules, effectively solving the problems of single source, slow download speed and poor stability. By monitoring the response time, download speed and stability of the source, the system can adjust the switching strategy in real time to ensure the efficient completion of the download task. By dynamically evaluating the performance of the source and the current network environment, the system can select the optimal download source to improve the download speed and stability. In addition, the system has a built-in efficient error handling and recovery mechanism that can quickly respond and attempt to recover the download when encountering abnormal conditions, reducing the risk of download interruption and optimizing the download speed and stability. The system provides a simple and easy configuration method, which is convenient for users to manage and operate uniformly. This design reduces the user's management difficulty and complexity, and improves the management efficiency. Users can easily set the npm source download order, rules, and view download progress and log information. At the same time, the system also supports custom switching strategies, allowing users to flexibly configure according to their needs, improving the user experience.
[0014] By intelligently switching sources, the system can also effectively avoid the problem of download interruption caused by single source failure. Although the system is mainly automated and intelligent, it needs to provide a friendly configuration file to allow users to easily set the download order and rules, view the download progress and log information, etc.
[0015] The present application also solves the following key technical problems: simplifying the configuration process, providing a simple and easy-to-use configuration method, which can easily add, delete and automatically switch npm sources according to rules, reducing the complexity of operation. Such as global installation path, cache path, personalized source address list and other information configuration.
[0016] The application improves the user experience in the npm package download management process through intelligent switching strategy, optimized download speed and stability, and provides friendly user configuration and configuration options. It improves the user's manual operation and time cost, improves the success rate and efficiency of the download task, and enhances the user's satisfaction. The intelligent switching strategy can automatically select the best npm source for downloading according to real-time network conditions and preset rules, effectively solving the problems of single source, slow download speed and poor stability. By monitoring the response time, download speed and stability of the source, the system can adjust the switching strategy in real time to ensure the efficient completion of the download task. By dynamically evaluating the performance of the source and the current network environment, the system can select the optimal download source to improve the download speed and stability. In addition, the system has a built-in efficient error handling and recovery mechanism that can quickly respond and attempt to recover the download when encountering abnormal conditions, reducing the risk of download interruption and optimizing the download speed and stability. The system provides a simple and easy configuration method, making it easy for users to manage and operate. This design reduces the user's management difficulty and complexity, improving management efficiency. Users can easily set the npm source download order, rules, and view download progress and log information. At the same time, the system also supports custom switching strategies, allowing users to flexibly configure according to their own needs, improving the user experience.
[0017] The application improves the intelligent level: optimizes system performance: improves system architecture design, optimizes resource allocation strategy, provides fault tolerance mechanism, improves system reliability and availability. According to the current load and resource usage of the system, dynamically adjust the resource allocation strategy. Increase resource investment during the download task peak period to ensure the smooth progress of the download task. Introduce priority scheduling mechanism, allocate system resources according to the priority of the download task. High-priority tasks can get more resource support, so they can complete the download faster. When an error occurs during the download process, the system should be able to automatically handle the error and attempt to retry. For example, when downloading from a certain source fails, the system can automatically switch to other sources for retry. Provides a unified configuration: develop a unified management configuration, integrate npm source management, download task monitoring, log viewing and other functions, making it easy for users to manage and operate.
[0018] Benefits: 1) The application has a higher degree of intelligence, compared to the prior art: it may only provide basic source switching functions, lacking intelligent evaluation mechanisms and flexible switching logic.
[0019] The present application introduces advanced artificial intelligence technology, develops a more accurate decision-making evaluation mechanism and more flexible switching logic. The system can monitor network conditions, source response time, download success rate and other key indicators in real time, and dynamically adjust the switching strategy according to these data. In addition, the system can also learn the user's download habits and preferences, providing a more personalized download experience. Including divergent thinking and avoidance solutions;
[0020] 2) Real-time monitoring and feedback
[0021] The present application proposes that the system has real-time monitoring function, can continuously track the execution of download task and system performance. At the same time, the system can also provide feedback report, including download speed, success rate, failure reason automatic switching source and other key information. These information not only help users understand the current system running state, but also provide data support for subsequent optimization and improvement.
[0022] 3) Efficient error handling and recovery mechanism
[0023] The present application proposes that the system has built-in efficient error handling and recovery mechanism, which can quickly respond and try to recover when encountering errors or abnormal conditions. This mechanism can reduce the risk of download interruption and data loss caused by system failure, improve the stability and reliability of the system. BRIEF DESCRIPTION OF DRAWINGS
[0024] Figure 1 npm multi-source intelligent switching download device system architecture diagram;
[0025] Figure 2 npm multi-source intelligent switching download device flow chart.
[0026] Figure 3 Source evaluation mechanism flow;
[0027] Figure 4 Intelligent switching logic flow. DETAILED DESCRIPTION
[0028] The technical solution of the present application aims to optimize the user experience, intelligence level, performance and maintainability of the npm multi-source download device automatic switching system. The following is a detailed description of the technical solution:
[0029] (1) System architecture design, Figure 1 npm multi-source intelligent switching download device system architecture diagram; Figure 2 npm multi-source intelligent switching download device flow chart:
[0030] 1) Modular design:
[0031] The system is divided into multiple independent modules, each responsible for a specific function (such as source management, download task scheduling, performance monitoring, etc.).
[0032] Modules communicate through well-defined interfaces, reducing inter-module coupling, improving system scalability and maintainability.
[0033] (2) Intelligent switching strategy
[0034] 1) Source evaluation mechanism follows the following process:
[0035] Detect npm source; response time; download speed KB / s;
[0036] Detect current source; response time; download speed;
[0037] Detect current source network status; detect source url address; detect npm source download success times;
[0038] Detect npm source download failure times; detect npm source score;
[0039] Initialize the main npm source repository by default, define time threshold: if the time to download a package from a source exceeds a certain threshold (for example, 30 seconds), try to switch to another source; define success rate threshold: if the package download from a certain source fails continuously (for example, 3 times), switch to another source; merge user-defined private repository sources as the basis for automatic detection switching, record the timestamp and failure times of successful download.
[0040] 2) Intelligent switching logic:
[0041] According to the user's network environment (such as response time, speed, etc.), failure rate, download task priority, source evaluation result factors, dynamically select the optimal npm source for download.
[0042] Download timeout threshold (milliseconds);
[0043] Continuous failure times threshold;
[0044] Merge user-defined source list;
[0045] Detect npm source sorting;
[0046] Detect npm source url address;
[0047] Detect npm source score;
[0048] Detect npm source download speed;
[0049] Detect npm source download success times;
[0050] Detect the number of npm source download failures;
[0051] Timestamp of the last successful download;
[0052] Number of failures;
[0053] Support custom switching strategies, allowing users to dynamically adjust switching logic according to their needs.
[0054] Consider switching if the best source has too many failures or has not been successful for too long;
[0055] Select a source with fewer failures and recent success;
[0056] Initialize to the first source;
[0057] Update the source configuration;
[0058] Update the number of current source download failures;
[0059] Support custom switching strategies, allowing users to dynamically adjust switching logic according to their needs.
[0060] Consider switching if the best source has too many failures or has not been successful for too long;
[0061] Select a source with fewer failures and recent success;
[0062] Initialize to the first source;
[0063] Update the source configuration;
[0064] Update the number of current source download failures;
[0065] 3) Learn user preferences:
[0066] Record user download history and preference settings, and learn user download habits through data analysis. Based on user preferences, optimize switching strategies and provide more personalized download experience.
[0067] Read the current storage log file;
[0068] Parse user preference data in the log file;
[0069] Average response time; average speed; success rate;
[0070] 4) Error handling and retry mechanism:
[0071] When encountering errors during download, automatically retry or switch to other sources for download. Provide detailed error logs and reports to help users quickly locate and solve problems.
[0072] Try to download the file, support retry and switch source;
[0073] npm source list execution status index;
[0074] number of retries;
[0075] attempting to download;
[0076] waiting for retry interval;
[0077] switching to next source;
[0078] resetting the number of retries;
[0079] throwing a final error if all sources have been tried and failed;
[0080] generating an error report;
[0081] sending the report to a server, displaying it to a user, or saving it to a local file.
[0082] The above only describes the preferred embodiments of the present application, and it should be noted that for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, and these improvements and refinements should also be considered as the protection scope of the present application.
Claims
1. A multi-source intelligent switching system based on npm package download, characterized in that, Set evaluation mechanism and switching logic, monitor the average response time of each npm source to requests, including the first response time and subsequent request response time; Real-time detection of the speed of downloading packages from each source, measured in KB / s, assess the stability of the source by recording its availability, success rate, and error rate indicators, and output to the console; Intelligent switching strategy: 1) Source evaluation mechanism: Monitor the response time, download speed, and stability of each npm source; through dynamic evaluation of source performance and current network environment, the system can select the optimal download source to improve download speed and stability; 2) Intelligent switching logic: Based on the current network environment, dynamically evaluate the results of the source, the priority of the download task, and the weight value of each source, and dynamically select the optimal source for download; the system continuously monitors the performance of each source during the download process and adjusts the switching strategy in real time according to the actual situation; Based on the user's bandwidth, network environment, download task priority, and source evaluation results, dynamically select the optimal npm source for download; Support custom switching strategy, allow users to adjust the switching logic according to their own needs; 3) Learn user preferences: Record user download history and preference settings, learn user download habits through data analysis; optimize switching strategy based on user preferences to provide a more personalized download experience; 4) Error handling and retry mechanism: If the current selected source performance declines or fails, the system will immediately switch to the backup source to ensure the download task is not affected; the system has built-in efficient error handling and recovery mechanism, which can quickly respond and try to recover or switch to a new source for download when encountering errors or exceptions; Automatically retry or switch to other sources for download when encountering errors during the download process; Provide detailed error logs and reports to help users quickly locate and solve problems.
2. The multi-source intelligent switching system based on npm package download according to claim 1, characterized in that, Through network smoothness and network speed detection, realize intelligent and automatic source selection.
3. The multi-source intelligent switching system based on npm package download according to claim 1, characterized in that, The system has built-in efficient error handling and recovery mechanism, which can quickly respond and try to recover the download when encountering exceptions, reduce the risk of download interruption, and optimize the download speed and stability.
4. The multi-source intelligent switching system based on npm package download according to claim 1, characterized in that, Set npm source download order, rules, and view download progress and log information.
5. The multi-source intelligent switching system based on npm package download according to claim 1, characterized in that, Support custom switching strategy, allow users to flexibly configure according to their own needs, improve user experience.
6. The multi-source intelligent switching system based on npm package download according to claim 1, characterized in that, In the intelligent switching strategy, 1) Source evaluation mechanism follows the following process: Detect npm source; response time; download speed KB / s; Detect the current source; response time; Download speed; Detect the current source network status; detect source url address; detect the number of successful npm source downloads; Detect the number of failed npm source downloads; detect npm source score; Initialize the main npm source repository by default, define time threshold: if the time to download a package from a source exceeds a certain threshold, try to switch to another source; define success rate threshold: if multiple consecutive downloads from a source fail, switch to another source; combine user-defined private repository sources as the basis for automatic detection and switching, record the timestamp of successful download and the number of failures; 2) Intelligent switching logic: Dynamically select the optimal npm source for download based on user's network environment, failure rate, download task priority, source evaluation result factors, detect download timeout threshold; Threshold for consecutive failures; Merge user-defined source list; Detect npm source sorting; Detect npm source url address; Detect npm source rating; Detect npm source download speed; Detect the number of successful downloads of npm sources; Detect the number of failed downloads of npm sources; Check the last successful download timestamp; check the number of failures; 3) Support custom switching strategy, allow users to dynamically adjust switching logic according to their needs; If the best source fails too many times or too long, i.e. fails to succeed beyond the threshold, consider switching; Select the source with fewer failures and the most recent success; Initialize to the first source; Update source configuration; Update the number of current source download failures; Support custom switching strategy, allow users to dynamically adjust switching logic according to their needs; If the best source fails too many times or too long, i.e. fails to succeed beyond the threshold, consider switching; Select the source with fewer failures and the most recent success; Initialize to the first source; Update source configuration; Update the number of current source download failures; 4) Learn user preferences: Record user download history and preference settings, learn user download habits through data analysis; Optimize switching strategy based on user preferences to provide a more personalized download experience; Read the current storage log file; Parse user preference data in log file; average response time, average speed, success rate; 5) Error handling and retry mechanism: When errors occur during download, automatically retry or switch to other sources for download; Provide detailed error logs and reports to help users quickly locate and solve problems.
7. The multi-source intelligent switching system based on npm package download according to claim 1, characterized in that, Error handling and retry mechanism, when errors occur during download, automatically retry or switch to other sources for download; Provide detailed error logs and reports to help users quickly locate and solve problems: try to download the file, support retry and switch source; npm source list execution status under mark; retry times; Try to download; wait for retry interval; switch to the next source; Reset the number of retries; if all sources have been tried and failed, throw the final error; generate error report; send report to server, display to user or save to local file.
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