WO2020119544A1 - Procédé et appareil de simulation de transmission en réseau, dispositif informatique et support de stockage - Google Patents

Procédé et appareil de simulation de transmission en réseau, dispositif informatique et support de stockage Download PDF

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Publication number
WO2020119544A1
WO2020119544A1 PCT/CN2019/122937 CN2019122937W WO2020119544A1 WO 2020119544 A1 WO2020119544 A1 WO 2020119544A1 CN 2019122937 W CN2019122937 W CN 2019122937W WO 2020119544 A1 WO2020119544 A1 WO 2020119544A1
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target
storage path
terminal
target data
page
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PCT/CN2019/122937
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English (en)
Chinese (zh)
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苏陆和
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深圳壹账通智能科技有限公司
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/36—Preventing errors by testing or debugging software
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/40—Transformation of program code
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/70—Software maintenance or management
    • G06F8/71—Version control; Configuration management

Definitions

  • Embodiments of the present application relate to the field of information processing, and in particular, to a network transmission simulation method, device, computer equipment, and storage medium.
  • Front-end development is the process of creating front-end interfaces such as Web pages or apps and presenting them to users.
  • Front-end development uses HTML, CSS, JavaScript, and various derived technologies, frameworks, and solutions to implement user interface interaction for Internet products. It has evolved from the production of web pages, and the name has obvious characteristics of the times. In the evolution of the Internet, web page production is a product of the Web 1.0 era. The main content of the early websites was static, with pictures and texts as the main elements, and users’ use of the website was also based on browsing. With the development of Internet technology and the application of HTML5 and CSS3, modern web pages are more beautiful, with significant interaction effects and more powerful functions.
  • the front-end developer needs to package the developed page data and upload the page package file to the corresponding server system. Then, the terminal requests the server system to obtain the page package file, and after parsing on the terminal, the page content is presented, and then the real display effect of the front-end page is checked.
  • the inventor of the present application found in the research that in the prior art, the verification method for the display effect of the front-end page is cumbersome, and the packet data of the page may have a problem of packet loss during the network process, resulting in the front-end page not being displayed properly. Moreover, repeated data transmission and remote storage will consume a large amount of network resources, and it is not easy to save costs.
  • Embodiments of the present application provide a network transmission simulation method, device, computer device, and storage medium that can simulate a network data acquisition and transmission process locally.
  • a technical solution adopted by the embodiments created in this application is to provide a network transmission simulation method, including:
  • the target data is called according to the storage path, and is parsed and displayed.
  • An embodiment of the present application also provides a network transmission simulation device, including:
  • An obtaining module configured to obtain an access request sent by a terminal, wherein the access request includes a target URL for storing target data;
  • a processing module configured to search for a storage path that has a mapping relationship with the target URL in a preset mapping list, where the storage path is a local storage path, and the storage location pointed to by the storage path stores the target data;
  • the execution module is used for calling the target data according to the storage path and performing analysis and display.
  • This embodiment also provides a computer device including a memory and a processor.
  • the memory stores computer-readable instructions.
  • the processor is executed as described above. The steps of the network transmission simulation method are described.
  • This embodiment also provides a storage medium storing computer-readable instructions, which when executed by one or more processors, cause the one or more processors to perform the network transmission simulation method described above step.
  • the storage medium may be a non-volatile storage medium, or referred to as a computer non-volatile readable storage medium.
  • the beneficial effects of the embodiments of the present application are: it can reduce the problem of data loss that may occur during the transmission of data on the web page, and can also reduce the occupation of network resources and effectively control the cost.
  • FIG. 1 is a schematic diagram of a basic process of a network transmission simulation method according to an embodiment of this application;
  • FIG. 2 is a schematic diagram of a conversion and generation process of target data according to an embodiment of the present application
  • FIG. 3 is a schematic flow chart of implementing an association of a local storage path by modifying an IP address according to an embodiment of this application;
  • FIG. 4 is a schematic diagram of a process of evaluating a front-end page through a neural tube network model according to an embodiment of this application;
  • FIG. 5 is a schematic flowchart of an early warning of the aesthetics of a front-end page according to an embodiment of this application
  • FIG. 6 is a schematic flowchart of an image extraction process for obtaining a screenshot of a page according to an embodiment of the application
  • FIG. 7 is a schematic flowchart of switching an acquisition form according to an embodiment of the present application.
  • FIG. 8 is a schematic structural diagram of a network transmission simulation device according to an embodiment of the present application.
  • FIG. 9 is a block diagram of a basic structure of a computer device according to an embodiment of the present application.
  • terminal and terminal device used herein include both wireless signal receiver devices, which only have wireless signal receiver devices without transmitting capabilities, and also include hardware for receiving and transmitting hardware.
  • Such devices may include: cellular or other communication devices with single-line displays or multi-line displays or cellular or other communication devices without multi-line displays; PCS (Personal Communications Services), which can combine voice and data Processing, fax and/or data communication capabilities; PDA (Personal Digital Assistant), which can include radio frequency receivers, pagers, Internet/Intranet access, web browsers, notepads, calendars and/or GPS (Global Positioning System (Global Positioning System) receiver; conventional laptop and/or palmtop computer or other device that has and/or includes a conventional radio frequency receiver and/or palmtop computer or other device.
  • PCS Personal Communications Services
  • PDA Personal Digital Assistant
  • terminal and “terminal equipment” may be portable, transportable, installed in a vehicle (aeronautical, maritime, and/or terrestrial), or adapted and/or configured to operate locally, and/or In a distributed form, it operates at any other location on the earth and/or space.
  • the "terminal” and “terminal device” used herein may also be a communication terminal, an Internet terminal, a music/video playback terminal, for example, may be a PDA, MID (Mobile Internet Device), and/or have music/video playback Functional mobile phones can also be smart TVs, set-top boxes and other devices.
  • FIG. 1 is a schematic flowchart of a network transmission simulation method of this embodiment.
  • a network transmission simulation method includes:
  • the terminal In the process of terminal simulating obtaining corresponding content from server side.
  • the terminal creates a new access request.
  • the network card assigned to the terminal is addressed for access.
  • the process of acquiring the virtual network data locally starts at this time.
  • the CPU after generating the access request, the CPU directly simulates and sends the access request without sending the access request through a network card.
  • the access request includes the target URL of the target data, that is, the access request includes the URL of the http type, and addressing according to the URL can send an access request to the corresponding server to obtain the target data.
  • the network card After obtaining the access request task allocated by the CPU, the network card first calls the pre-selected stored mapping list, and searches the mapping list for a storage path that has a mapping relationship with the target URL.
  • the storage path is a local storage path, and the local path points to The target location is stored in the storage location.
  • the target data is the front-end webpage of the browser, but it is not limited to this.
  • the target data can be any network data, including (not limited to): text , Audio, video and picture information.
  • the process of searching the local storage path is completed by modifying the terminal's IP address.
  • the modification method is to configure host as the terminal ip address, assuming that the terminal ip address is: http (that is, the target URL).
  • host indicates a local computer that can access each other.
  • a local machine has a unique logo code, which forms an IP address together with a netmask. If you access the Internet through an ISP through a point-to-point protocol, you will have a unique IP address during the connection. During this time, your host is A host.
  • the CPU processes an access request generated by an application, sends the access request to the network card for processing, and the network card device finds the corresponding server side through addressing and sends the access request to On the server side, the server side responds to the access request and returns the corresponding target data to the network card.
  • the CPU parses and displays the target data. Therefore, for the terminal CPU, the process of acquiring target data is divided into two steps. In the first step, the requested task is allocated to the network card; in the second step, the target data corresponding to the requested task is read from the network card and displayed. Therefore, through the setting of the local database, the same can also meet all the processes of the CPU to obtain the target data.
  • the terminal After determining the storage path of the target material, the terminal directly reads the target material through the path. After loading and running the target data, the target data is finally displayed.
  • the front-end page serves as a kind of target data.
  • the developer of the front-end page needs to remember the content of the front-end page by a complete simulation loading display to observe the final display effect of the front-end page.
  • the developer of the front-end page can simulate to obtain the data of the front-end page from the network and display it. And from the display results to see whether the design of the front-end page in actual application has achieved the expected design goals.
  • the terminal when sending an access request, the terminal searches the local mapping list for the local storage path corresponding to the mapping list according to the target URL in the access request, and then directly calls the target data in the local storage path To complete the process of simulating sending an access request to calling the corresponding target data. Since the results obtained from the local database or the web server are consistent for the terminal, the request to obtain the file is mainly to simulate the process of actually using the user terminal to obtain the target data. Therefore, the virtual local database can satisfy the terminal from Access request, the process to get the content corresponding to the request, but does not occupy network resources, which can reduce the data loss problem that may occur during the transmission of data on the web page, and can reduce the occupation of network resources and effectively control costs.
  • FIG. 2 is a schematic diagram of a process for generating target data according to this embodiment.
  • step S1100 it further includes:
  • the target data is the front-end page.
  • simulating the process of obtaining a front-end page first obtain the target source code of the front-end page.
  • S1012 Convert the target source code into a code program that can be run by the browser according to a preset conversion rule
  • webpack scaffolding is used to transform the target source code.
  • Webpack can be regarded as a module packer.
  • the way webpack works is: treat your project as a whole, and through a given main file (such as index.js), webpack will find all of your projects from this file.
  • the JavaScript file is the final target information, that is, the file formed by the front-end page that can be run by the browser.
  • the webpack scaffold packs and compresses the converted JavaScript file to generate a data package suitable for storage on the server side.
  • the front-end page completed on the terminal can be converted into a JavaScript file recognized by the browser in real time.
  • the simulated network data is obtained by modifying the terminal's IP address.
  • FIG. 3 is a schematic diagram of a process of implementing local storage path association by modifying an IP address.
  • step S1013 it further includes:
  • the target data is the front-end page.
  • the target URL bound to the front-end page is read. Since the front-end page is displayed through the browser, when the front-end page is developed, a target URL will be bound according to the actual application after the front-end page.
  • S1022 Modify the IP address of the target terminal to the target website
  • the modification method is to configure host as the terminal ip address, assuming that the terminal ip address is: http (that is, the target URL).
  • host indicates a local computer that can access each other.
  • a local machine has a unique logo code, which forms an IP address together with a netmask. If you access the Internet through an ISP through a point-to-point protocol, you will have a unique IP address during the connection. During this time, your host is A host.
  • Setting the terminal's IP address to the mapping relationship between http and the IP is the local storage path of the target data generated according to the front-end page. That is to say, when the machine needs to verify the front-end page display effect, like the corresponding server-side sending request to obtain the front-end page data packet, the server-side access address resolved by the network card device actually points directly to the locally stored target data.
  • the terminal can simulate the acquisition process more realistically when simulating data acquisition, and the simulation effect is better.
  • the target material is a front-end page.
  • the terminal After acquiring the front-end page, the terminal needs to evaluate the actual display effect of the front-end page, and the evaluation is performed through a neural network model.
  • FIG. 4 is a schematic diagram of a process of evaluating a front-end page through a neural tube network model in this embodiment.
  • the method further includes:
  • the terminal After displaying the front-end page, the terminal obtains a screenshot of the displayed page by taking a screenshot of the displayed content.
  • the page screenshot is obtained by reading the frequency display data in the graphics card.
  • the first evaluation model is a neural network model that has been trained to a converged state and used to identify the aesthetics of page screenshots.
  • the first evaluation model is a convolutional neural network model (CNN), but the first evaluation model can also be: a deep neural network model (DNN), a recurrent neural network model (RNN), or a modification of the above three network models model.
  • the aesthetic degree is the score of the page screenshot by the first evaluation model.
  • the score is a percentage system.
  • the point system can be one point system, ten point system or thousand point system.
  • the classification categories of the first evaluation model are: 0-20, 21-40, 41-60, 61-80, 81-100.
  • the confidence of the classification result in each score interval is calculated, and the value range of the confidence is between 0-1.
  • the confidence characterizes the probability that the classification result is in each score interval, that is, the higher the confidence of each category value interval during classification, the final classification result is the value interval corresponding to the confidence level.
  • the product of the tens digit of the middle and upper limit of the value interval and the confidence is used as the quantile and quantile of the final score.
  • the average value of the ten digits in the value interval is taken as the ten digits of the final score.
  • the confidence in the 61-80 value interval is 0.8
  • the final score is 76.4 points
  • the final score value is the aesthetic appearance of the page screenshot output by the first evaluation model.
  • the aesthetic evaluation of the screenshots of the front-end pages can be performed, which can better and more accurately evaluate the aesthetics of the front-end pages, making the front-end pages more beautiful and easy to read.
  • FIG. 5 is a schematic flowchart of the early warning of the aesthetics of the front-end page in this embodiment.
  • step S1413 includes:
  • the first threshold is an approved threshold for measuring whether the beauty of the converted page meets the set aesthetic requirements.
  • the first threshold is 60 points.
  • the setting of the first threshold is not limited to this.
  • the setting of the value of the first threshold depends on the level of aesthetic requirements in the application scenario. The higher the level, the higher the value of the first threshold, otherwise, the more low.
  • the terminal calls preset warning information for display.
  • the warning information is used to remind the user that the front-end page needs to be modified, for example: the currently displayed front-end page does not meet the aesthetic requirements, please review and make the corresponding changes.
  • the first threshold Through the setting of the first threshold, it can be judged whether the aesthetics of the front-end page conforms to the general aesthetic standards, and provides a unified measurement standard for the aesthetics setting of the front-end page, which is beneficial to the optimized design of the front-end page.
  • FIG. 6 is a schematic diagram of a process of extracting an image of a page screenshot in this embodiment.
  • the method further includes:
  • S1431 Input the screenshot of the page into a preset second evaluation model, where the second evaluation model is a neural network model that is pre-trained to a converged state for extracting image pixels that affect image aesthetics;
  • the second evaluation model is a neural network model that has been trained to a converged state and used to extract image pixels that affect image aesthetics.
  • the training sample is calibrated, the contours of the image pixels in the sample image that affect the overall aesthetics of the sample image are calibrated, and then the sample image is trained until the contour image extracted by the model is consistent with the calibrated contour Or when the accuracy is high, the model training is completed.
  • the second evaluation model is a convolutional neural network model (CNN), but the second evaluation model can also be: a deep neural network model (DNN), a recurrent neural network model (RNN), or a variant of the above three network models model.
  • CNN convolutional neural network model
  • DNN deep neural network model
  • RNN recurrent neural network model
  • S1432 Display the extracted image of the page screenshot output by the second evaluation model.
  • image pixels that affect the aesthetics of the image are extracted, and the obtained result is the extracted image of the page screenshot.
  • the image clearly displayed in the extracted image is the image pixel extracted by the second evaluation model that affects the aesthetic appearance of the image.
  • the extracted image is an image output by the convolution layer of the second evaluation model.
  • the terminal can perform network simulation to obtain target data, and can also normally access the server to obtain information. Please refer to FIG. 7, which is a schematic diagram of the process of switching the acquisition mode in this embodiment.
  • step S1200 includes:
  • the mapping list is a data table that records the mapping relationship between the target URL and the local storage path in the terminal.
  • the mapping list records the mapping relationship between the target URL and the local storage path of all the target data that can be obtained through the analog network acquisition method set by the user.
  • the network card After obtaining the access request task allocated by the CPU, the network card first calls the pre-selected stored mapping list, and searches the mapping list for a storage path that has a mapping relationship with the target URL.
  • the storage path is a local storage path, and the local path points to The target location is stored in the storage location.
  • steps S1011-S1023 are executed to modify the terminal IP.
  • the terminal's IP address is in a dynamically modified state.
  • the network card device When no storage path having a mapping relationship with the target URL is found in the mapping list, the network card device performs addressing and access to the corresponding server side through the external gateway device.
  • a mapping list is used to detect the presence or absence of the target web address and storage path, and then the dynamic switching of the IP address is realized, which can enable the terminal to freely switch between the normal access and the network simulation acquisition mode, thereby improving work efficiency.
  • embodiments of the present application also provide a network transmission simulation device.
  • FIG. 8 is a schematic diagram of the basic structure of the network transmission simulation device of this embodiment.
  • a network transmission simulation device includes an acquisition module 2100, a processing module 2200, and an execution module 2300.
  • the acquisition module, 2100 is used to obtain the access request sent by the terminal, wherein the access request includes the target URL of the target data storage
  • the processing module 2200 is used to find a storage path that has a mapping relationship with the target URL in the preset mapping list, Wherein, the storage path is a local storage path, and the storage location pointed to by the storage path stores the target data
  • the execution module 2300 is used to call the target data according to the storage path and perform analysis and display.
  • the network transmission simulation device further includes: a first acquisition submodule, a first processing submodule, and a first execution submodule.
  • the first acquisition submodule is used to acquire the target source code
  • the first processing submodule is used to convert the target source code into a code program that can be run by the browser according to a preset conversion rule
  • the first execution submodule is used to The code program is packaged to generate target materials.
  • the network transmission simulation device further includes: a second acquisition submodule, a second processing submodule, and a second execution submodule.
  • the second acquisition sub-module is used to acquire the target URL that has a mapping relationship with the target data
  • the second processing sub-module is used to modify the IP address of the target terminal to the target URL
  • the second execution sub-module is used to obtain the target data The local storage path of the terminal, and associating the storage path with the IP address, so that when the terminal requests access according to the target web address, the target material is called locally.
  • the target data is a front-end page
  • the network transmission simulation device further includes: a third acquisition submodule, a third processing submodule, and a third execution submodule.
  • the third acquisition sub-module is used to obtain the page screenshot of the front-end page
  • the third processing sub-module is used to input the page screenshot into the preset first evaluation model, where the first evaluation model is used to pre-train to the convergence state A neural network model for evaluating the image aesthetics
  • the third execution submodule is used to obtain the classification result of the aesthetics of the page screenshot output by the first evaluation model.
  • the network transmission simulation device further includes: a first comparison submodule and a fourth execution submodule.
  • the first comparison submodule is used to compare the classification result with a preset first threshold; the fourth execution submodule is used to send preset warning information to the terminal when the classification result is less than the first threshold, where , The warning information is used to remind the user that the front-end page needs to be modified.
  • the network transmission simulation device further includes: a fourth processing submodule and a fifth execution submodule.
  • the fourth processing submodule is used to input page screenshots into a preset second evaluation model, where the second evaluation model is a neural network that is pre-trained to a convergence state for extracting image pixels that affect image aesthetics The model; the fifth execution submodule is used to display the extracted image of the page screenshot output by the second evaluation model.
  • the network transmission simulation device further includes: a first calling submodule and a fifth processing submodule.
  • the first calling sub-module is used to call the preset mapping list;
  • the fifth processing sub-module is used to find the storage path that has a mapping relationship with the target URL in the mapping list, and if there is a storage path in the mapping list, confirm the call Target data; otherwise, addressing is performed according to the target URL to access the server side characterized by the target URL.
  • FIG. 9 is a block diagram of the basic structure of the computer device of this embodiment.
  • the computer device includes a processor, a non-volatile storage medium, a memory, and a network interface connected through a system bus.
  • the non-volatile storage medium of the computer device stores an operating system, a database, and computer-readable instructions.
  • the database may store a sequence of control information.
  • the processor may implement a A network transmission simulation method.
  • the processor of the computer device is used to provide calculation and control capabilities, and support the operation of the entire computer device.
  • the memory of the computer device may store computer readable instructions. When the computer readable instructions are executed by the processor, the processor may cause the processor to perform a network transmission simulation method.
  • the network interface of the computer device is used to connect and communicate with the terminal.
  • FIG. 9 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied.
  • the specific computer equipment may It includes more or fewer components than shown in the figure, or some components are combined, or have a different component arrangement.
  • the processor is used to perform specific functions of the acquisition module 2100, the processing module 2200, and the execution module 2300 in FIG. 8, and the memory stores program codes and various types of data required to execute the above modules.
  • the network interface is used for data transmission between user terminals or servers.
  • the memory in this embodiment stores the program codes and data required to execute all submodules in the face image key point detection device, and the server can call the server program codes and data to execute the functions of all submodules.
  • the computer device When sending an access request, the computer device searches the local mapping list for the local storage path corresponding to the mapping list according to the target URL in the access request, and then directly calls the target data in the local storage path to complete the simulation. Send the access request to the process of calling the corresponding target data. Since the results obtained from the local database or the web server are the same for the terminal, the request to obtain the file is mainly to simulate the process of actually using the user terminal to obtain the target data. Therefore, the virtual local database can satisfy the terminal from accessing Request, to the process of obtaining the content corresponding to the request, but it does not occupy network resources, which can reduce the problem of data loss that may occur during the transmission of data on the web page, and can reduce the occupation of network resources and effectively control costs.
  • the present application also provides a storage medium storing computer-readable instructions.
  • the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the network transmission simulation method in any of the foregoing embodiments.
  • the computer program may be stored in a computer-readable storage medium. When executed, it may include the processes of the foregoing method embodiments.
  • the aforementioned storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disc, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

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Abstract

Procédé et appareil de simulation de transmission en réseau, dispositif informatique et support de stockage. Le procédé comporte les étapes consistant à: obtenir une demande d'accès envoyée par un terminal, la demande d'accès comportant une URL cible pour stocker des données cibles (S1100); rechercher, dans une liste de mappage prédéfinie, un chemin de stockage ayant une relation de mappage avec l'URL cible, le chemin de stockage étant un chemin de stockage local, et l'emplacement de stockage vers lequel pointe le chemin de stockage stockant les données cibles (S1200); et invoquer les données cibles selon le chemin de stockage, et analyser et afficher lesdites données (S1300). En raison du fait que pour un terminal, les résultats obtenus à partir d'une base de données locale et d'un serveur de réseau sont cohérents, et que la demande visant à obtenir le fichier se rapporte principalement à la simulation du processus d'obtention effective des données cibles en utilisant un terminal d'utilisateur, la base de données locale virtuelle peut répondre au processus de l'émission d'une demande d'accès à l'obtention du contenu correspondant à la demande par le terminal, mais n'occupe pas les ressources du réseau. Par conséquent, une perte de données survenant éventuellement dans un processus de transmission de page web de données peut être réduite, et l'occupation des ressources du réseau peut également être réduite.
PCT/CN2019/122937 2018-12-13 2019-12-04 Procédé et appareil de simulation de transmission en réseau, dispositif informatique et support de stockage WO2020119544A1 (fr)

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CN112733892B (zh) * 2020-12-28 2024-06-21 北京聚云科技有限公司 一种用于模型训练的数据交互方法及装置
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