CN116225421A - Universal expert review evaluation system, method, medium and equipment for custom templates - Google Patents

Abstract

The invention discloses a general expert review evaluation system, a method, a medium and equipment of a custom template, wherein the system comprises: the designer is used for generating a review evaluation model after carrying out interactive operation on a preset review evaluation template; the evaluation module is used for analyzing the evaluation module to enable the data structure of the back end to be matched with the evaluation module; a Web application framework that causes a review rating model to be loaded and for collecting review rating content and index scores after interaction with a user; the database is used for storing the evaluation contents and the index scores; and the evaluation table generation engine is used for integrating the evaluation model, the evaluation content and the index score into a format file and outputting the format file, and summarizing the result. The invention can carry out templatization driving for complex and various types of evaluation contents, and designs the components and the layout of the final running form of the software through non-professional index definition and design tools.

Description

Universal expert review evaluation system, method, medium and equipment for custom templates

Technical Field

The invention relates to the technical field of computers, in particular to a general expert review evaluation system, method, medium and equipment of a custom template.

Background

For technological innovation activities such as project stand and acceptance, professional talent title evaluation, rewarding evaluation and the like of science and technology and research and development, an expert evaluation mode is often adopted to determine the feasibility and the advancement of technology. Different evaluation indexes are required to be set for different projects, and the evaluation modes include a quantitative scoring mode, a qualitative rating mode, an expert voting mode and the like.

Conventionally, a programmer writes program codes by using a computer software programming language to realize an expert evaluation model, and the expert evaluation interactive interface and corresponding evaluation result data are translated into the running machine code of the target computer by corresponding compiler (or parser) software of the programming and coding, so that the function of the computer program can be completed.

Therefore, computer programming is a highly skilled capability and has relatively low programming efficiency.

However, these evaluation indexes and data items and formats often change, and once the evaluation indexes and data items and formats change, program codes need to be modified again, and the program codes are recompiled, built and released, so that the workload is huge and the efficiency is low.

Disclosure of Invention

In view of the above technical problems, the invention provides a general expert review evaluation system, a method, a medium and equipment for a custom template.

Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.

According to an aspect of the present invention, a general expert review rating system for a custom template is provided, the system comprising: the designer is arranged in the front-end page and is used for generating a review evaluation model after carrying out interactive operation on a preset review evaluation template, wherein the review evaluation template has definitions on evaluation indexes, evaluation standards, standard scores, weights, evaluation types and total score calculation rules; the evaluation system comprises an evaluation engine, a data structure and an evaluation template, wherein the evaluation engine is used for analyzing the evaluation model so that the data structure of the back end is matched with the evaluation template; a Web application framework for responding to a release request, according to the analysis of the evaluation model by the evaluation engine, enabling the evaluation model to be loaded, and for collecting evaluation content and index scores after interaction with a user; the database is used for storing the evaluation content and the index score; and the evaluation table generation engine is used for integrating the evaluation model, the evaluation content and the index score into a format file and outputting the format file, and integrating the different evaluation content and the index score to obtain the evaluation result.

Further, the review rating template is composed of one or more preset components, corresponding review rating models are established when one or more of the preset components are dragged onto a design canvas of the designer, and corresponding description files are generated when the review rating models are established.

Further, the evaluation engine analyzes the evaluation model based on the description file, wherein the description file is generated based on a JSON description language.

Further, when the review evaluation engine analyzes the description file, a data entity is established and the data structure is defined in a back-end database management system according to a preset mapping relation.

Further, when the review content and the index score are generated after the interaction of the user, the Web application framework maps the review content and the index score to the operation on the data entity, and returns the execution result to the front-end page in an interface form.

Further, in the Web application framework, when the front end generates the evaluation content and the index score, and the back end generates the execution result, service interface encapsulation is performed in a unified description language to form a JSON data set, so that connection and communication between the front end and the back end are established.

Further, the system further comprises a preset code library, wherein the preset code library is used for: when the evaluation model in the Web application framework is operated to generate an operation event, calling and executing program codes responded by the operation according to preset rules; when the operation and event response to the evaluation model in the Web application framework is required, the corresponding preset code in the back end is called, so that the back end realizes the response to the operation and event of the evaluation model according to the corresponding preset code.

According to a second aspect of the present disclosure, there is provided a general expert review rating method for a custom template, the method including the system described above, the method performing the operations of:

the method comprises the steps of obtaining a description file of a review evaluation model, wherein the review evaluation model is generated after the designer based on a Web end performs interactive operation on a preset review evaluation template, and the review evaluation template is defined by evaluation indexes, evaluation standards, standard scores, weights, evaluation types and total score calculation rules;

analyzing and releasing the evaluation model through the evaluation engine, and connecting the evaluation model with the Web application frame, the menu and the call URL;

loading the evaluation model in the Web application framework, acquiring evaluation contents and index scores added by different users, and storing the evaluation contents and index scores;

synthesizing the evaluation model, the evaluation content and the index score by using the evaluation table generation engine, and outputting a format file;

and summarizing a plurality of evaluation contents and the index scores to obtain evaluation results.

According to a third aspect of the present disclosure, there is provided a computer-readable storage medium storing a computer program which, when executed by a processor, implements a general expert review rating method of a custom template as described above.

According to a fourth aspect of the present disclosure, there is provided a general expert review rating apparatus of a custom template, comprising: a controller; the controller comprises the computer readable storage medium storing the computer program, and the computer program realizes the universal expert review evaluation method of the custom template when being executed by the processor; or/and the controller comprises the universal expert review and evaluation system of the custom template.

The technical scheme of the present disclosure has the following beneficial effects:

1. the invention can carry out templated driving for complex and various types of evaluation contents, realize code-free development, and realize software functions by designing components and layout of the final running form of the software through non-professional index definition and design tools. Therefore, the code writing can be performed without complex computer programming language, the efficiency of software design is greatly improved, the final experience of software operation can be obtained, people who do not know the programming language and do not have special software programming capability can quickly perform the software design, and the capability requirement of software development is reduced.

The method solves the complex evaluation indexes and evaluation modes, forms different evaluation indexes, a large number of various formats of evaluation, the evaluation modes (such as quantitative or qualitative) and the weight relation of index items, and the like, and completes the integrated realization of template definition, evaluation engine, evaluation data acquisition and data processing, thereby being a unique advantage of the patent automation expert evaluation.

According to the invention, software modeling and running are carried out through the program running time (run time), the complex process of compiling, constructing and packaging the software into relevant running codes after the traditional software programming is not needed, and then deploying and running are carried out on a server, so that instant deployment and instant running can be developed in instant, and the system management efficiency is greatly improved.

Drawings

FIG. 1 is a schematic diagram of a generic expert review rating system for custom templates in an embodiment of the present disclosure;

FIG. 2 is a flow chart of a general expert review rating method for a custom template in an embodiment of the present disclosure;

FIG. 3 is a terminal device of a general expert review rating system for implementing a custom template in an embodiment of the present disclosure;

FIG. 4 is a computer readable storage medium of a general expert review rating system with custom templates stored thereon in an embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.

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

As shown in fig. 1, an embodiment of the present disclosure provides a general expert review rating system for a custom template, the system including:

the designer is arranged in the front-end page and is used for generating a review evaluation model after interaction operation is carried out on a preset review evaluation template, and the review evaluation template has definitions on evaluation indexes, evaluation standards, standard scores, weights, evaluation types and total score calculation rules.

The designer 101 may be a Web program for allowing a user to drag and pull one or more preset components onto a design canvas through a visual interface to create a corresponding review rating template. When the review board is created, the designer uses a description language to generate a description file that contains relevant information and parameters about the review board so that other programs can read and use it. The description file can be used for aspects such as rendering, layout and behavior control of the evaluation template, and can also be used as an interface for connecting the evaluation template with a back-end application program. The review rating template may be composed of one or more preset components. The evaluation template is mainly used for defining the contents such as evaluation indexes, evaluation standards, standard scores, weights, evaluation types, total score calculation rules and the like. These definitions are critical to the accuracy and effectiveness of the review rating. In the evaluation template, the evaluation index should be clear and specific, the scoring standard should be consistent with the actual situation, the standard score should have clear quantification standard, the weight should be reasonably distributed, the evaluation type should be capable of accurately reflecting the characteristics of the evaluation object, and the total score calculation rule should be consistent with the requirements of the evaluation object so as to ensure the objectivity, fairness and scientificity of the evaluation.

In addition, the construction of the review rating model in the designer 101 may be a real-time process, that is, a user needs to review a certain technical project, and it may define the review content, and since the customized review content is still based on the preset content, it will not affect other review content of other users.

And the evaluation engine 102 is used for analyzing the evaluation model so that the data structure of the back end is matched with the evaluation template.

In particular, the software components, one, and the interaction style and framework are used for analyzing the review evaluation template and automatically generating a background data structure and a front end of the review evaluation application. Specifically, it may parse and convert information such as the evaluation index, the scoring standard, the standard score, the weight, the evaluation type, the total score calculation rule, and the like defined in the review evaluation template file into a data structure so as to store and process the review evaluation data in the background database. Meanwhile, the evaluation engine can also automatically generate a front-end application program corresponding to the evaluation template, so that the scoring function of the expert on-line evaluation is realized.

By way of example, the review rating engine 102 may specifically perform the following operations:

analyzing the evaluation template file, and extracting information such as defined evaluation indexes, scoring standards, standard scores, weights, evaluation types and the like. And generating a corresponding data structure for storing the evaluation data according to the extracted information. These data structures are typically managed and stored on a back-end server. Generating a front-end grading interactive interface which comprises a grading form, a grading button, prompt information and the like. These interfaces are typically implemented using front-end technologies such as HTML, CSS, and JavaScript. And processing scoring data submitted by the user and storing the scoring data in a database on a back-end server. In this process, the review rating engine needs to verify the data entered by the user to ensure that it meets the specifications defined by the template file. And calculating a scoring result, and carrying out weighted calculation on scoring data submitted by a user according to a total score calculation rule defined by the template file to obtain a final evaluation result.

A Web application framework 103 for responding to a release request, causing the review rating model to be loaded according to the analysis of the review rating model by the review rating engine, and collecting review rating content and index scores after interaction with a user.

The evaluation Web application framework automatically generates a Web interactive application framework by using the evaluation template, so that an expert can perform online evaluation scoring on a webpage. By way of example, the application framework may include the following components:

page layout and style: and automatically generating page layout and style according to the evaluation template, wherein the page layout and style comprises display modes and interaction styles of information such as evaluation indexes, scoring standards, standard scores, weights and the like, and corresponding buttons and controls. And (3) data interaction: and carrying out data interaction on the review evaluation template analyzed by the review evaluation engine and a back-end review evaluation database, so as to realize reading and storage of data and transmission and processing of the review evaluation data. Score calculation: and calculating the overall evaluation score and evaluation conclusion of the expert on the evaluation object according to the information such as the evaluation standard, the standard score, the weight and the like in the evaluation template, and storing the evaluation data into a rear-end evaluation database. Through the evaluation Web application framework, the evaluation template can quickly generate a Web application program for online evaluation, and meanwhile, the real-time interaction and calculation of data can be realized, so that the efficiency and accuracy of evaluation are improved

A database 104, wherein the database 104 is used for storing the evaluation content and the index score.

The review rating engine 102 will store the scoring data of the expert reviews in the database 103 for subsequent query and analysis of the review data. The data in the database 104 can be queried and analyzed by SQL sentences, and can also be exported as Excel or other format files for data analysis and visualization. The review and evaluation database 104 needs to have data security and backup characteristics to ensure the security and reliability of the data.

And an evaluation table generation engine 105 for integrating the evaluation model, the evaluation content and the index score into a layout file and outputting the layout file, and integrating the different evaluation content and the index score to obtain a evaluation result.

The evaluation form generation engine is used for automatically generating a printable and output format file according to the evaluation template and the comments and scores of the expert evaluation and is used for generating an archive file of the expert evaluation comments. Exemplary, the method can integrate the review and evaluation template with the result of the expert review, automatically generate the contents of the review report, the evaluation result, the decision suggestion and the like, and support the output of documents in various formats, such as PDF, word, excel and the like. Therefore, the method and the device can facilitate the reviewer and the decision maker to check the review result, speed up the decision making and improve the review efficiency.

In one embodiment, the review rating template is comprised of one or more preset components, the corresponding review rating model is created when one or more of the preset components are dragged onto a design canvas of the designer, and the corresponding description file is generated when the review rating model is created.

Specifically, the review rating template is composed of preset components, which may be predefined indexes, criteria, scores, etc., that may be dragged onto a canvas of the template designer to interactively build the review rating model. In the process of model establishment, a corresponding description file is generated, and the file contains definition information of the template, such as indexes, standards, scores, weights and the like. This description file can be parsed and processed by a subsequent template engine to enable dynamic rendering and interaction of templates.

The preset component may specifically take the form of an input box, button, drop down box, list, text display box, etc., for selection by the user and dragging onto the canvas. A canvas is provided in the designer as a design area for presenting preset components selected by the user. When a user drags the selected preset component to the canvas through a mouse, the designer needs to capture the drag action of the user, record the position, the size and other information of the preset component, and display the information on the canvas. Each preset component may have attributes such as font, color, size, alignment, etc., and the designer may display an attribute panel for the user to set these attributes. Each preset component may respond to events such as mouse clicks, keyboard inputs, etc., which may in turn be set in the designer, for example, to specify the processing function of a click event.

In one embodiment, the review rating engine 102 parses the review rating model based on the description file generated based on the JSON description language.

Wherein the review rating engine 102 parses the review rating model based on the description file generated in the JSON description language. JSON is a lightweight data exchange format commonly used for data transfer and storage between front and back ends. In this case, the description file describes the review rating model in JSON format, which allows the review rating engine to conveniently parse and process the model.

In one embodiment, when the review evaluation engine 102 parses the description file, a data entity is built and the data structure is defined in a back-end database management system according to a preset mapping relationship.

Specifically, when the description file is parsed, the review evaluation engine may read a preset metadata mapping relationship, map data in the description file to entities and fields in the database, and define a data structure in the database according to information such as a data type, a length, and the like. In this way, in the process of evaluating the evaluation, after each evaluation item is scored by the panelist, the scoring data can be stored in the corresponding database table, so that the subsequent processing and analysis are facilitated.

In one embodiment, when the review content and the index score are generated after the interaction of the user, the Web application framework maps the review content and the index score to the operation on the data entity, and returns the execution result to the front-end page in an interface form.

Wherein, after the user interacts with the Web application, the generated review rating content and index score will be mapped to operations on the data entity that will trigger an update to the database. The Web application framework returns the execution results to the front-end page in the form of an interface to display the results of the operation and provide other feedback information if necessary. This process may be synchronous or asynchronous.

In one embodiment, in the Web application framework, when the evaluation content and the index score are generated at the front end and the execution result is generated at the back end, service interface encapsulation is performed in a unified description language to form a JSON data set, so that connection and communication between the front end and the back end are established.

In the review and evaluation Web application framework 103, the front end and the back end communicate and interact through JSON data sets, which follow a unified description language, to encapsulate review and evaluation contents and index scores generated by the front end, and send the same to the back end for processing. The backend, when processing the data, maps it into the corresponding data entities and structures and performs the required operations. The execution results are returned to the front end in a unified JSON format for further processing and display. This unified description language and data formatting ensures consistency and reliability of communication and interaction between the front-end and the back-end.

In an embodiment, the system further comprises a preset code library for: when the evaluation model in the Web application framework is operated to generate an operation event, calling and executing program codes responded by the operation according to preset rules; when the operation and event response to the evaluation model in the Web application framework is required, the corresponding preset code in the back end is called, so that the back end realizes the response to the operation and event of the evaluation model according to the corresponding preset code.

In particular, the library of preset codes is in particular a library of stored program code that is pre-written for performing specific operations in the system or responding to specific events. In this system, the primary role of the pre-set code library is to respond to the operation and events of the front-end review rating model.

For example, when a user performs review rating operations at the front end, the system needs to call the corresponding preset code according to preset rules to process these operations. Program code in the preset code library may perform various functions such as storing review rating results, calculating scores, sending mail notifications, etc. When operation and event response are required to be carried out on the review evaluation model in the Web application framework, the back end can call corresponding preset codes to realize specific functions. Thus, the flexibility and the expandability of the system can be greatly improved.

The embodiment of the invention realizes the software system function of the evaluation of the model driven architecture MDA aiming at a great deal of development tasks brought by evaluation contents, evaluation scoring modes and an evaluation index system in various technological plans or project stands and evaluation processes, and achieves the following effects:

1. different review rating projects, different rating models and templatization of review scoring indicators. The general model expression of the review evaluation of different formats and contents is solved by visually describing the evaluation contents, indexes and the review mode in a visible and instant mode.

2. And automatically generating a Web interaction expert scoring application for evaluating according to the template. Through the MDA architecture, a designed evaluation template is automatically converted into an interactive application program for expert evaluation according to the definition of a description language, and the front-end Web application is self-adaptive to various different terminals through front-end and back-end separation programming models.

3. And automatically generating an entity database structure at the back end according to the index model system of the evaluation, and storing the result data of the evaluation.

4. The method can automatically read the score of the evaluation according to the template system of the evaluation to form a formatted expert evaluation list (such as PDF format), and is convenient for printing out the signature or digital signature to form a digital file.

5. The application self-adaption problem after the review and evaluation template is modified is solved.

Based on the same idea, as shown in fig. 2, a general expert review evaluation method of a custom template is provided, the method includes the above system, and the method executes the following steps S201-S205:

in step S201, a description file of a review evaluation model is obtained, where the review evaluation model is generated after the designer based on the Web terminal performs an interactive operation on a preset review evaluation template, and the review evaluation template is defined by an evaluation index, a scoring standard, a standard score, a weight, an evaluation type and a total score calculation rule;

in step S202, the review evaluation model is parsed and issued by the review evaluation engine, and is connected with the Web application framework, the menu and the call URL;

in step S203, the evaluation model is loaded in the Web application framework, and evaluation contents and index scores added by different users are obtained and stored;

in step S204, the review evaluation model, the review evaluation content, and the index score are synthesized by using the review form generation engine, and a layout file is output;

in step S205, a plurality of the evaluation contents and the index scores are collected to obtain a result of the evaluation.

Details of the above method have been described in the embodiments of the framework, and details not disclosed may refer to the embodiments of the method parts, so that they will not be described in detail.

Based on the same thought, the embodiment of the specification also provides a general expert review and evaluation device of the custom template, as shown in fig. 3.

The general expert review evaluation device of the custom template may be a terminal device or a server provided in the above embodiment.

The general expert review and evaluation device of the custom template can generate relatively large difference due to different configurations or performances, and can comprise one or more processors 301 and a memory 302, wherein one or more storage application programs or data can be stored in the memory 302. The memory 302 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) units and/or cache memory units, and may further include read-only memory units. The application programs stored in memory 302 may include one or more program modules (not shown), including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Still further, the processor 301 may be configured to communicate with the memory 302 to execute a series of computer executable instructions in the memory 302 on a generic expert review rating device of the custom template. The custom template's general expert review rating device may also include one or more power supplies 303, one or more wired or wireless network interfaces 304, one or more I/O interfaces (input output interfaces) 305, one or more external devices 306 (e.g., keyboard, hand-drawn pad, bluetooth device, etc.), one or more devices that enable a user to interact with the device, and/or any device (e.g., router, modem, etc.) that enables the device to communicate with one or more other computing devices. Such communication may occur through the I/O interface 305. Also, the device may communicate with one or more networks, such as a Local Area Network (LAN), via a wired or wireless interface 304.

In particular, in this embodiment, the general expert review device of the custom template includes a memory, and one or more programs, where the one or more programs are stored in the memory, and the one or more programs may include one or more modules, and each module may include a series of computer-executable instructions in the general expert review device of the custom template, and configured to be executed by one or more processors, the one or more programs including computer-executable instructions for:

the method comprises the steps of obtaining a description file of a review evaluation model, wherein the review evaluation model is generated after the designer based on a Web end performs interactive operation on a preset review evaluation template, and the review evaluation template is defined by evaluation indexes, evaluation standards, standard scores, weights, evaluation types and total score calculation rules;

analyzing and releasing the evaluation model through the evaluation engine, and connecting the evaluation model with the Web application frame, the menu and the call URL;

loading the evaluation model in the Web application framework, acquiring evaluation contents and index scores added by different users, and storing the evaluation contents and index scores;

synthesizing the evaluation model, the evaluation content and the index score by using the evaluation table generation engine, and outputting a format file;

and summarizing a plurality of evaluation contents and the index scores to obtain evaluation results.

Based on the same idea, exemplary embodiments of the present disclosure further provide a computer readable storage medium having stored thereon a program product capable of implementing the method described in the present specification. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.

Referring to fig. 4, a program product 700 for implementing the above-described method according to an exemplary embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++, CSS, HTML and the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the exemplary embodiments of the present disclosure.

Furthermore, the above-described figures are only schematic illustrations of processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with exemplary embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. A universal expert review rating system for custom templates, the system comprising:

the designer is arranged in the front-end page and is used for generating a review evaluation model after carrying out interactive operation on a preset review evaluation template, wherein the review evaluation template has definitions on evaluation indexes, evaluation standards, standard scores, weights, evaluation types and total score calculation rules;

the evaluation system comprises an evaluation engine, a data structure and an evaluation template, wherein the evaluation engine is used for analyzing the evaluation model so that the data structure of the back end is matched with the evaluation template;

a Web application framework for responding to a release request, according to the analysis of the evaluation model by the evaluation engine, enabling the evaluation model to be loaded, and for collecting evaluation content and index scores after interaction with a user;

the database is used for storing the evaluation content and the index score;

and the evaluation table generation engine is used for integrating the evaluation model, the evaluation content and the index score into a format file and outputting the format file, and integrating the different evaluation content and the index score to obtain the evaluation result.

2. The custom template generic expert review rating system of claim 1, wherein the review rating template is comprised of one or more preset components, wherein the corresponding review rating model is created when one or more of the preset components is dragged onto a design canvas of the designer, and wherein the corresponding description file is generated when the review rating model is created.

3. The custom template generic expert review rating system of claim 2, wherein the review rating engine parses the review rating model based on the description file generated based on JSON description language.

4. The custom template general expert review rating system of claim 3, wherein the review rating engine establishes a data entity and defines the data structure in a back-end database management system according to a preset mapping relationship when parsing the description file.

5. The custom template generic expert review rating system of claim 4, wherein when generating review rating content and index scores after user interaction, the Web application framework maps them as operations on the data entities and returns execution results to a front-end page in an interface form.

6. The custom template generic expert review rating system of claim 5, wherein in the Web application framework, when the review rating content and the index score are generated at the front end and the execution result is generated at the back end, service interface packaging is performed in a unified description language to form a JSON dataset, such that connection and communication of the front end and the back end are established.

7. The custom template generic expert review rating system of claim 1, further comprising a pre-set code library for:

when the evaluation model in the Web application framework is operated to generate an operation event, calling and executing program codes responded by the operation according to preset rules;

when the operation and event response to the evaluation model in the Web application framework is required, the corresponding preset code in the back end is called, so that the back end realizes the response to the operation and event of the evaluation model according to the corresponding preset code.

8. A method of general expert review rating for a custom template, comprising the system of any of claims 1-7, the method comprising:

the method comprises the steps of obtaining a description file of a review evaluation model, wherein the review evaluation model is generated after the designer based on a Web end performs interactive operation on a preset review evaluation template, and the review evaluation template is defined by evaluation indexes, evaluation standards, standard scores, weights, evaluation types and total score calculation rules;

analyzing and releasing the evaluation model through the evaluation engine, and connecting the evaluation model with the Web application frame, the menu and the call URL;

loading the evaluation model in the Web application framework, acquiring evaluation contents and index scores added by different users, and storing the evaluation contents and index scores;

synthesizing the evaluation model, the evaluation content and the index score by using the evaluation table generation engine, and outputting a format file;

and summarizing a plurality of evaluation contents and the index scores to obtain evaluation results.

9. A computer readable storage medium storing a computer program which when executed by a processor implements the generic expert review rating method for a custom template as claimed in claim 8.

10. A general expert review rating apparatus for a custom template, comprising: a controller;

the controller comprising the computer-readable storage medium of claim 9 storing a computer program that when executed by a processor implements the generic expert review rating method of the custom template of claim 8; or/and, the controller comprises a generic expert review rating system of the custom template of any of claims 1 to 7.

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