CN114064772A - Multi-element data structure automatic conversion method and system for large-screen chart adaptation - Google Patents
Multi-element data structure automatic conversion method and system for large-screen chart adaptation Download PDFInfo
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Abstract
The invention discloses a multivariate data structure automatic transformation method and a multivariate data structure automatic transformation system for large-screen chart adaptation, wherein the method comprises the following steps: configuring a visual large-screen chart, and configuring the attribute and the category of the chart by using the visual large-screen chart; configuring data interface service, including configuring data conversion type and data conversion flow; accessing a data row-column conversion operator and a data structure conversion operator into a data conversion flow; starting a data interface service to obtain converted data; testing the data interface service by using the converted data until the verification result is correct; the data row-column conversion operator specifically converts the row-column of the one-dimensional/multidimensional array into linear data by a visual arrangement method; the data structure conversion operator is specifically used for converting the one-dimensional/multidimensional array structure into linear data through a visual arrangement method. The method and the device can reduce the cost of the large-screen data chart configuration process adaptation and improve the efficiency of the large-screen data chart configuration process adaptation.
Description
Technical Field
The application relates to the field of data structure conversion, in particular to a multi-element data structure automatic conversion method and system for large-screen chart adaptation.
Background
In recent years, large-screen visual configuration technology is rapidly developed. In the traditional large-screen configuration process, a back-end service interface needs to be docked, and in the docking process, a visual chart plug-in of a large screen needs to be adapted to the back-end service interface. The back-end service needs a large amount of adaptation programming in the adaptation process, the workload of back-end service coding is increased to a certain extent, the working efficiency is reduced, and the working cost of large-screen configuration is increased.
In order to configure a large-screen visual chart so that the chart can be normally displayed on a large screen, data returned by a data interface butted with the large-screen chart must conform to a data structure recognizable by the large-screen chart. The data structure of the large-screen chart is different from the interface data structure which is inquired and returned from the database by the traditional data interface to a certain extent. Therefore, the interface data inquired and returned from the database cannot be directly used for the configuration of the large-screen chart, and can be suitable for the configuration of the large-screen chart only through certain data structure conversion.
Interface data returned from the database can be adapted to the data structure of the large-screen chart configuration after data structure conversion. In order to solve the problem of data conversion, two methods are generally used, namely front end modification is performed, data returned from an interface is taken to the data conforming to a graph structure; and secondly, back-end modification, namely directly converting the data returned by the database into a data structure which can be identified by a large-screen chart. And many of the large screen configuration technologies are now commercialized. The method modified from the front end is very expensive and cannot adapt to the idea of commercialization. Because the interface data returned by the back-end service has no very fixed format and changes a lot, the front-end cannot completely adapt. Then it can only be modified from the back end, i.e. from the data service interface side where the large screen chart is interfaced.
Backend modification, specifically two methods. The method comprises the steps of modifying a back-end code, compiling a uniform method which can adapt to various charts, and converting data by the uniform method. For example, the chart of interface butt joint is a radar chart, the radar chart data structure method is used for carrying out data structure conversion on returned data before the interface returns the data, and the data is returned to the large-screen chart after the conversion, the method needs to adapt each returned data, and new codes need to be adapted and added if the data needs to be modified in the later period, so that the efficiency of data structure adaptation is reduced, the later-period maintenance cost is greatly increased, and the method is not beneficial to popularization and use; and secondly, micro-service butt joint, namely, all data butted by the large-screen charts are subjected to micro-service butt joint, the micro-service performs unified data structure conversion, and the large-screen charts are uniformly butted with interfaces subjected to micro-service conversion. In brief, the interface to be connected with the original large screen is converted into a new interface through the micro-service conversion interface, and the large screen chart is connected with the new interface. According to the method, the structure conversion is carried out after the return data is obtained through the request source interface, and a large screen needs to be configured with a plurality of charts. Generally, the two methods are high in cost and low in efficiency in project implementation.
Disclosure of Invention
Aiming at the problems, the invention provides a multivariate data structure automatic conversion method and a multivariate data structure automatic conversion system for large-screen chart adaptation. The cost of the adaptation structure in the large-screen data chart configuration process is reduced, and the efficiency of the adaptation structure in the large-screen data chart configuration process is improved.
In a first aspect of the present invention, there is provided a multivariate data structure automatic transformation method for large-screen chart adaptation, the method comprising the steps of:
configuring a visual large-screen chart, and configuring the attribute and the category of the chart by using the visual large-screen chart;
configuring data interface service, including configuring data conversion type and data conversion flow;
accessing a data row-column conversion operator and a data structure conversion operator into a data conversion flow;
starting a data interface service to obtain converted data;
testing the data interface service by using the converted data until the verification result is correct;
the data row-column conversion operator specifically converts the row-column of the one-dimensional/multidimensional array into linear data by a visual arrangement method; the data structure conversion operator is specifically used for converting the one-dimensional/multidimensional array structure into linear data through a visual arrangement method.
Further, the visualization arrangement method comprises the following specific steps:
adding and modifying parameters of data interface service;
compiling a data structure conversion script;
and converting the data output by the script by using the data structure to carry out mode adjustment until the correctness of the script is verified.
Furthermore, the method also comprises the step of accessing the visual large-screen chart into a data interface service and displaying the converted data chart.
Further, the method includes configuring the database connections and permissions, and configuring the database language, writing the database language into the data interface service.
In a second aspect of the present invention, there is provided an automatic transformation system for a multivariate data structure for large-screen chart adaptation, comprising:
the visual large-screen chart configuration module is used for configuring the attributes and the categories of the chart by utilizing the visual large-screen chart;
the data interface service configuration module is used for configuring the type of data conversion and the data conversion process;
the operator arrangement module is used for accessing the data row-column conversion operator and the data structure conversion operator into the data conversion flow;
the data conversion module is used for starting a data interface service to obtain converted data;
the test module is used for testing the data interface service by using the converted data until the verification result is correct;
the data row-column conversion operator in the operator arrangement module is used for converting the one-dimensional/multidimensional array row-column into linear data through a visual arrangement method; the data structure conversion operator is specifically used for converting the one-dimensional/multidimensional array structure into linear data through a visual arrangement method.
Further, the visualization arrangement method in the operator arrangement module comprises the following specific steps:
adding and modifying parameters of data interface service;
compiling a data structure conversion script;
and converting the data output by the script by using the data structure to carry out mode adjustment until the correctness of the script is verified.
Furthermore, the system also comprises a display module which is used for accessing the visual large-screen chart into the data interface service and displaying the converted data chart.
Furthermore, the system also comprises a data source acquisition module which is used for configuring the connection and the permission of the database, configuring the database language and writing the database language into the data interface service.
In a third aspect of the present invention, a terminal is provided, including: a processor; and the memorizer, wherein, the memorizer stores the computer executable program, when the said computer executable program of the said processor is executed, carry out the above-mentioned multivariate data structure automatic transformation method used for large-screen chart to adapt.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, on which instructions are stored, which, when executed by a processor, cause the processor to execute the above-mentioned multivariate data structure automatic transformation method for large-screen chart adaptation.
The invention provides a multivariate data structure automatic conversion method, a multivariate data structure automatic conversion system and a computer storage medium for large-screen chart adaptation, which realize the whole-course visualization, configurable and convertible structure of a butt joint interface in the large-screen configuration process, do not need programming intervention of back-end service personnel, and can be automatically completed by large-screen configuration personnel. In the large-screen configuration process, the configuration can be completed by only one person, so that the communication cost of the large-screen configuration is reduced, and the efficiency of the large-screen configuration is increased. The beneficial effects that finally reach: the visibility and the efficiency of the large-screen data chart structure adaptation process are improved by arranging the visual large-screen data chart structure adaptation operators. When a configurator configures the large-screen visualization system, other personnel are not needed to cooperate, and complicated codes are not needed to be written. Therefore, the efficiency of configuration personnel can be improved, the configuration personnel can be more concentrated on the configuration of the large-screen visualization system, the configuration personnel are not interfered by other factors, and the later maintenance of the system is also improved.
Drawings
FIG. 1 is a flow chart of a multivariate data structure automatic transformation method for large screen chart adaptation in an embodiment of the invention;
FIG. 2 is a flow chart of a visualization orchestration method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of an exemplary embodiment of an automatic transformation system for a multivariate data structure for large-screen chart adaptation;
fig. 4 is a schematic structural diagram of a computer terminal in the embodiment of the present invention.
Detailed Description
In order to further describe the technical scheme of the present invention in detail, the present embodiment is implemented on the premise of the technical scheme of the present invention, and detailed implementation modes and specific steps are given.
The invention discloses a multivariate data structure automatic transformation method for large-screen chart adaptation, which is shown in figure 1 and comprises the following steps:
s01, configuring a visual large-screen chart, and configuring attributes and types of the chart by using the visual large-screen chart, wherein the chart attributes comprise color, width, height and the like, and the chart types comprise pie charts, bar charts and the like;
s02, configuring data interface service, including configuring data conversion type and data conversion process, specifically creating data conversion service, including configuring data service type including but not limited to GET, POST, PUT, DELETE, arranging data service process including but not limited to selecting start node, obtaining data source, selecting conversion operator, and debugging;
s03, accessing a data row-column conversion operator and a data structure conversion operator into the data conversion flow;
the data row-column conversion operator comprises a one-dimensional array row-column conversion operator and a multi-dimensional array row-column conversion operator, and particularly converts the one-dimensional/multi-dimensional array row-column into linear data through a visual arrangement method; the data structure conversion operator comprises a one-dimensional array structure conversion operator and a multidimensional array structure conversion operator, and particularly converts the one-dimensional/multidimensional array structure into linear data through a visual arrangement method. The one-dimensional array structure represents that only one group of data exists in the target data structure, and the one-dimensional array structure is represented by a one-dimensional line graph, a single-column bar graph and the like in the display form of the graph; the multidimensional array structure represents that the target data structure contains 2 groups and more than 2 groups of data, and is mostly expressed as a multi-series histogram, a radar chart and the like in the display form of a chart; the operator is a service arranged by a visual arrangement method, is used as a circulation method in service visualization, is equivalent to a loop in a transfer flow, and is introduced in the process of configuring the data interface service, for example, a one-dimensional array row-column conversion operator is arranged in the data service flow.
Preferably, the row-column transformation is to convert the { key: value } structure into a { name: key, code: value } structure. The method is mainly suitable for the situation that keys and values in the Json structure are required to be taken out and applied to the chart.
The structure conversion is to convert the structure of [ { key1: value1, key2: value2}, { key1: value11, key2: value22} ] into the structure of { key: [ value1, value11], code: [ value2, value22] }. The value in the Json structure is mainly used in the graph.
Further, as shown in fig. 2, the visualization layout method includes the specific steps of:
s031, add, modify the parameter of the data interface service;
s032, compiling a data structure conversion script;
and S033, performing mode adjustment by using data output by the data structure conversion script until the correctness of the script is verified.
In the specific implementation process, parameters for adding and modifying data interface services, such as chartName, chartPye, keyField, valuField and the like, are set; writing a structured script, and putting the structured script into an operator flow; setting output, namely setting failure output and success output of structure conversion; debugging, namely verifying the correctness of an operator, and introducing the operator to verify and debug.
S04, starting a data interface service to obtain converted data, namely running a scheduled data service flow to enable the data conversion service to obtain the data;
s05, testing the data interface service by using the converted data until the verification result is correct, specifically, continuously debugging the data interface service until the displayed data result is correct, wherein when the result display also comprises the result which is not displayed, further debugging is needed;
furthermore, the method also comprises the step of accessing the visual large-screen chart into a data interface service and displaying the converted data chart.
Further, the method further comprises configuring database connection and permission, configuring a database language, writing the database language into the data interface service, specifically configuring a data source, namely creating the data source, configuring a database link, a user name and a password of the data source, configuring and testing the database to be connected, and modifying and retesting the configured database resource, wherein the database language comprises a query statement for the database.
Hereinafter, a multivariate data structure automatic transformation system for large screen chart adaptation corresponding to the method shown in fig. 1 according to an embodiment of the present disclosure is described with reference to fig. 3, the system 100 comprising: the visualization large-screen chart configuration module 101 is used for configuring the attributes and the categories of the chart by utilizing the visualization large screen; a data interface service configuration module 102, configured to configure a type of data conversion and a data conversion process; the operator arrangement module 103 is used for accessing the data row-column conversion operator and the data structure conversion operator into the data conversion process; the data conversion module 104 is configured to start a data interface service to obtain converted data; the test module 105 is configured to test the data interface service by using the converted data until the verification result is correct, where the data row-column conversion operator in the operator arrangement module 103 specifically converts a one-dimensional/multidimensional array row-column into linear data by using a visual arrangement method; the data structure conversion operator is specifically used for converting the one-dimensional/multidimensional array structure into linear data through a visual arrangement method. In addition to these 5 modules, the system 100 further includes a display module 107 for accessing the visual large-screen chart to the data interface service and displaying the converted data chart.
Further, the visualized arrangement method in the operator arrangement module 103 includes the specific steps of: adding and modifying parameters of data interface service; compiling a data structure conversion script; and converting the data output by the script by using the data structure to carry out mode adjustment until the correctness of the script is verified.
Further, the system 100 further includes a data source obtaining module 106, configured to configure database connections and permissions, and configure database languages, and write the database languages into the data interface service.
In addition, the system 100 may include other components, and thus, the illustration and description thereof are omitted herein since they are not related to the content of the embodiments of the present disclosure.
The specific working process of the multivariate data structure automatic transformation system 100 for large-screen chart adaptation refers to the description of the multivariate data structure automatic transformation method for large-screen chart adaptation, and is not repeated.
The system of the embodiment of the present invention can also be implemented by means of the architecture of a computer terminal shown in fig. 4, including: a processor; and the memorizer, wherein, the memorizer stores the computer executable program, when the said computer executable program of the said processor is executed, carry out the above-mentioned multivariate data structure automatic transformation method used for large-screen chart to adapt. Fig. 4 shows the architecture of the computer terminal. As shown in fig. 4, including a computer system 201, a system bus 203, one or more CPUs 204, input/output components 202, memory 205, and the like. The memory 205 may store various data or files used in computer processing and/or communications as well as program instructions executed by the CPU. The architecture shown in fig. 4 is merely exemplary, and one or more of the components in fig. 4 may be adjusted as needed to implement different devices.
Embodiments of the invention may also be implemented as a computer-readable storage medium. A computer-readable storage medium according to an embodiment has computer-readable instructions stored thereon. The computer readable instructions, when executed by a processor, may perform the method for automatic transformation of multivariate data structures for large-screen chart adaptation according to the embodiments of the invention described with reference to the above figures.
In summary, the method, the system and the computer storage medium for automatically converting the multivariate data structure for large-screen chart adaptation provided by the invention realize a whole-process visual, configurable and convertible structure of the docking interface in the large-screen configuration process, and a large-screen configuration person can finish the whole-process visual, configurable and convertible structure by himself without programming intervention of a back-end service person. In the large-screen configuration process, the configuration can be completed by only one person, so that the communication cost of the large-screen configuration is reduced, and the efficiency of the large-screen configuration is increased. The beneficial effects that finally reach: the visibility and the efficiency of the large-screen data chart structure adaptation process are improved by arranging the visual large-screen data chart structure adaptation operators. When a configurator configures the large-screen visualization system, other personnel are not needed to cooperate, and complicated codes are not needed to be written. Therefore, the efficiency of configuration personnel can be improved, the configuration personnel can be more concentrated on the configuration of the large-screen visualization system, the configuration personnel are not interfered by other factors, and the later maintenance of the system is also improved.
In this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process or method.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (10)
1. A multivariate data structure automatic transformation method for large-screen chart adaptation is characterized by comprising the following steps:
configuring a visual large-screen chart, and configuring the attribute and the category of the chart by using the visual large-screen chart;
configuring data interface service, including configuring data conversion type and data conversion flow;
accessing a data row-column conversion operator and a data structure conversion operator into a data conversion flow;
starting a data interface service to obtain converted data;
testing the data interface service by using the converted data until the verification result is correct;
the data row-column conversion operator specifically converts the row-column of the one-dimensional/multidimensional array into linear data by a visual arrangement method; the data structure conversion operator is specifically used for converting the one-dimensional/multidimensional array structure into linear data through a visual arrangement method.
2. The method for automatically transforming the multivariate data structure used for large-screen chart adaptation according to claim 1, wherein the visualization layout method comprises the following specific steps:
adding and modifying parameters of data interface service;
compiling a data structure conversion script;
and converting the data output by the script by using the data structure to carry out mode adjustment until the correctness of the script is verified.
3. The method of claim 1, further comprising accessing the visual large-screen chart to a data interface service to display the transformed data chart.
4. The method of claim 1, further comprising configuring database connections and permissions, and configuring a database language, writing the database language to a data interface service.
5. A multivariate data structure automatic transformation system for large screen chart adaptation, comprising:
the visual large-screen chart configuration module is used for configuring the attributes and the categories of the chart by utilizing the visual large-screen chart;
the data interface service configuration module is used for configuring the type of data conversion and the data conversion process;
the operator arrangement module is used for accessing the data row-column conversion operator and the data structure conversion operator into the data conversion flow;
the data conversion module is used for starting a data interface service to obtain converted data;
the test module is used for testing the data interface service by using the converted data until the verification result is correct;
the data row-column conversion operator in the operator arrangement module is used for converting the one-dimensional/multidimensional array row-column into linear data through a visual arrangement method; the data structure conversion operator is specifically used for converting the one-dimensional/multidimensional array structure into linear data through a visual arrangement method.
6. The system for automatically transforming a multivariate data structure used for large-screen chart adaptation according to claim 5, wherein the visualization layout method in the operator layout module comprises the following specific steps:
adding and modifying parameters of data interface service;
compiling a data structure conversion script;
and converting the data output by the script by using the data structure to carry out mode adjustment until the correctness of the script is verified.
7. The system according to claim 5, further comprising a display module for accessing the visual large-screen chart to a data interface service and displaying the converted data chart.
8. The system for automatic conversion of multivariate data structures for large-screen chart adaptation according to claim 5, further comprising a data source acquisition module for configuring database connections and permissions, and configuring database language, writing the database language into a data interface service.
9. A terminal, comprising: a processor; and a memory, wherein the memory has stored therein a computer-executable program that, when executed by the processor, performs the method of any of claims 1-4.
10. A computer-readable storage medium having instructions stored thereon, which when executed by a processor, cause the processor to perform the method of any one of claims 1-4.
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