CN117473136A - Data report generation method and device, storage medium and electronic equipment - Google Patents
Data report generation method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to a method and a device for generating a data report, a storage medium and electronic equipment, and relates to the technical field of computers, wherein the method comprises the following steps: receiving a data report generation request sent by the front end of a page, and responding to the data report generation request to acquire original service data; performing classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model; calculating the page layout required by the target webpage according to the webpage object model, and rendering the page layout to obtain the target webpage; and carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage. The present disclosure improves the efficiency of data report generation.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a data report generation method, a data report generation device, a computer readable storage medium and electronic equipment.
Background
In the existing data report generation method, a report chart is intercepted in a browser-side page function mainly in a manual mode, and then the intercepted report chart is spliced, so that a corresponding data report is obtained. However, this method has the following drawbacks: on one hand, the generation efficiency of the data report is low; on the other hand, the display effect of the obtained data report is not ideal.
It should be noted that the information of the present invention in the above background section is only for enhancing understanding of the background of the present disclosure, and thus may include information that does not form the prior art that is already known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure aims to provide a data report generation method, a data report generation device, a computer-readable storage medium, and an electronic apparatus, so as to overcome at least to some extent the problems of low data report generation efficiency and unsatisfactory display effect due to the limitations and disadvantages of the related art.
According to one aspect of the present disclosure, there is provided a data report generating method, including:
receiving a data report generation request sent by the front end of a page, and responding to the data report generation request to acquire original service data;
Performing classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model;
calculating the page layout required by the target webpage according to the webpage object model, and rendering the page layout to obtain the target webpage;
and carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage.
In one exemplary embodiment of the present disclosure, in response to the data report generation request, acquiring the original service data includes:
responding to the data report generation request, and analyzing the data report generation request to obtain a target user identifier and a report name of a target data report to be generated;
determining a service data name of original service data required by the target data report and a start-stop data generation time interval of the original service data based on the report name of the target data report;
and acquiring the original service data from a preset user data storage library based on the target user identification, the service data name and the start-stop data generation time interval.
In an exemplary embodiment of the present disclosure, performing classification and combination processing on the original service data to obtain target service data, including:
calling a data processing template required by processing the original service data from a preset front-end database based on the report name of the target data report;
extracting a current field included in the data processing template, and extracting current service data required by a sub-data report corresponding to the current field from the original service data based on a field name of the current field;
and determining a data processing tool required for processing the current service data based on the sub-report category of the sub-data report, and processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field.
In an exemplary embodiment of the present disclosure, extracting current service data required to generate a sub-data report corresponding to a current field from the original service data based on a field name of the current field includes:
generating keywords to be queried based on field names of the current fields, and querying sub-service data comprising the keywords to be queried from the original service data;
And extracting the sub-service data to obtain the current service data required by the sub-data report corresponding to the current field.
In an exemplary embodiment of the present disclosure, the sub-report categories include a form category and/or an image category;
wherein determining data processing means required for processing the current traffic data based on the sub-report category of the sub-data report comprises:
when the sub-report category of the sub-data report is a form category, determining a data processing tool required for processing the current service data as a form processing tool;
when the sub-report category of the sub-data report is an image category, determining a data processing tool required for processing the current service data as an image processing tool; the image processing tool comprises at least one of a line graph processing tool, a bar graph processing tool, a pie graph processing tool and a numerical interval mapping processing tool.
In an exemplary embodiment of the present disclosure, processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field includes:
calling a preset component library, and calling the form processing tool from the preset component library based on a preset application program interface;
Processing the current service data based on the table processing tool to obtain first sub-target service data corresponding to the current field; wherein the first sub-target business data comprises tabular business data.
In an exemplary embodiment of the present disclosure, processing the current service data to obtain first sub-target service data corresponding to the current field includes:
acquiring the data generation time of the current service data, classifying the current service data belonging to the same time period according to the data generation time, and obtaining a plurality of first data classification results with different time periods;
reclassifying the first data classification result in the same time period according to the field name to obtain a second data classification result with the same time period;
and counting the second data classification results in the same time period to obtain the first sub-target business data corresponding to the current field.
In an exemplary embodiment of the present disclosure, processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field includes:
Calling a preset chart library, and calling the image processing tool from the preset chart library based on a preset application program interface;
processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field; the second sub-target business data comprises image business data, and the image business data comprises at least one of line graph data, histogram data, pie chart data and numerical interval map data.
In an exemplary embodiment of the present disclosure, processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field includes:
processing the current business data based on a line graph processing tool to obtain line graph data corresponding to the current field; and/or
Processing the current service data based on a histogram processing tool to obtain histogram data corresponding to the current field; and/or
Processing the current service data based on a pie chart processing tool to obtain pie chart data corresponding to the current field; and/or
And processing the current service data based on a numerical interval mapping processing tool to obtain numerical interval mapping graph data corresponding to the current field.
In an exemplary embodiment of the present disclosure, processing the target service data to obtain a page object model includes:
calling a preset interface frame generating tool, and creating a browser instance object through a page creating function in the preset interface frame generating tool;
creating a page object based on the browser instance object, and loading the target business data into the page object based on an application program interface in the preset interface frame generating tool to obtain a text file required by the target webpage;
analyzing the text file to obtain a hypertext markup language file and/or a cascading style sheet file contained in the text file;
analyzing the hypertext markup language file to obtain a document object model, and/or analyzing the cascading style sheet file to obtain a cascading style sheet object model, and obtaining the page object model based on the document object model and/or the cascading style sheet object model.
According to an aspect of the present disclosure, there is provided a data report generating apparatus including:
the original business data acquisition module is used for receiving a data report generation request sent by the front end of the page and responding to the data report generation request to acquire original business data;
the original business data processing module is used for carrying out classification and combination processing on the original business data to obtain target business data, and processing the target business data to obtain a page object model;
the page layout rendering module is used for calculating the page layout required by the generation of the target webpage according to the page object model, and rendering the page layout to obtain the target webpage;
and the data report generating module is used for carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of generating a data report of any one of the above.
According to one aspect of the present disclosure, there is provided an electronic device including:
A processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of generating a data report according to any one of the preceding claims via execution of the executable instructions.
According to the data report generation method provided by the embodiment of the disclosure, on one hand, a data report generation request sent by the front end of a page is received, and original service data is acquired in response to the data report generation request; then, carrying out classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model; further, calculating the page layout required by the target webpage according to the webpage object model, and rendering the page layout to obtain the target webpage; finally, carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage, so that automatic generation of the target data report is realized, and the problem of low generation efficiency of the data report in the prior art is solved; on the other hand, the page layout required by the target webpage can be calculated based on the page object model, and the page layout is rendered to obtain the target webpage; and finally, carrying out data conversion on the target webpage to obtain a target data report, thereby solving the problem that the display effect of the obtained data report in the prior art is not ideal.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 schematically illustrates a flowchart of a method of generating a data report according to an example embodiment of the present disclosure.
Fig. 2 schematically illustrates a structural example diagram of a data report generating system according to an exemplary embodiment of the present disclosure.
Fig. 3 schematically illustrates an exemplary diagram of a framework structure of a backend server according to an exemplary embodiment of the present disclosure.
Fig. 4 schematically illustrates a flowchart of a method for classifying and combining the original service data to obtain target service data according to an exemplary embodiment of the disclosure.
FIG. 5 schematically illustrates an example diagram of a generated tabular form of sub-data reports in accordance with an example embodiment of the present disclosure.
FIG. 6 schematically illustrates an example diagram of another generated tabular form of sub-data report in accordance with an example embodiment of the present disclosure.
FIG. 7 schematically illustrates an example diagram of a child data report in the form of a line graph, according to an example embodiment of the present disclosure.
Fig. 8 schematically illustrates an example diagram of a sub-data report in the form of a data interval map according to an example embodiment of the present disclosure.
Fig. 9 schematically illustrates a block diagram of a data report generating apparatus according to an example embodiment of the present disclosure.
Fig. 10 schematically illustrates an electronic device for implementing the above-described data report generation method according to an exemplary 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 merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. 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.
In the existing implementation scheme of visual data report, the implementation method can be realized based on the following modes: one is: the rear end collects related data and combines the related data, and the Java server end is combined and spliced to generate a PDF format data report; the method is realized by manual operation, namely, in the actual application process, a PDF file can be created manually, further screenshot operation is carried out on the report chart in the page function of the browser end, and then the intercepted report chart is pasted into the PDF file to obtain a corresponding data report.
However, the above implementation has the following drawbacks: on the one hand, in the first implementation scheme, the visual report has an unsatisfactory display effect, can not realize the display of various compound charts, and can not realize the same display effect with a browser end page; on the other hand, in the second implementation, automatic generation of data reports cannot be achieved.
In the present exemplary embodiment, a method for generating a data report is provided first, where the method may operate on a server, a server cluster, or a cloud server; of course, those skilled in the art may also operate the methods of the present disclosure on other platforms as desired, which is not particularly limited in the present exemplary embodiment. Specifically, referring to fig. 1, the method for generating the data report includes:
s110, receiving a data report generation request sent by the front end of a page, and responding to the data report generation request to acquire original service data;
s120, carrying out classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model;
s130, calculating a page layout required by a target webpage according to the page object model, and rendering the page layout to obtain the target webpage;
And S140, performing data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage.
In the method for generating the data report, on one hand, the original service data is obtained by receiving a data report generation request sent by the front end of the page and responding to the data report generation request; then, carrying out classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model; further calculating a page layout required by generating the target webpage according to the webpage object model, and rendering the page layout to obtain the target webpage; finally, carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage, so that automatic generation of the target data report is realized, and the problem of low generation efficiency of the data report in the prior art is solved; on the other hand, the page layout required by the target webpage can be calculated based on the page object model, and the page layout is rendered to obtain the target webpage; and finally, carrying out data conversion on the target webpage to obtain a target data report, thereby solving the problem that the display effect of the obtained data report in the prior art is not ideal.
Hereinafter, a method for generating a data report according to an exemplary embodiment of the present disclosure will be explained and described in detail with reference to the accompanying drawings.
First, a system for generating a data report according to an exemplary embodiment of the present disclosure will be explained and explained. Specifically, referring to fig. 2, the system for generating the data report may include a front end 210 and a back end server 220, where the back end server may be a Java server, a Node service, or a back end server formed by the Java server and the Node server, which is not limited in this example. Furthermore, the front end of the page can be in communication connection with the back end service end in a wired network or wireless network mode; meanwhile, the front end of the page can be used for initiating a data report generation request to the rear end server and displaying the received target data report; the backend server may be configured to implement the method for generating a data report according to the exemplary embodiments of the present disclosure.
Next, the Node service described above will be further explained and explained. Specifically, referring to fig. 3, the Node services described herein may include a Server side technology stack 310 and a Web side technology stack 320; the Server-side technical stack described herein may include a Node service package 311 for supporting an implementation basis of a Node service, a configuration repository 312 for storing configuration information, a dis cluster 313 for implementing message synchronization, and a log repository 314 for log storage; meanwhile, the Node service package described herein may be Koa2, the configuration repository described herein may be shitter, and the log repository described herein may be Graylog.
Further, with continued reference to FIG. 3, the Web technology stack described herein may include a front-end database 321, a chart library 322, and a component library 323; wherein the front-end database described herein may be act, which may be used to store data processing templates, the chart library described herein may be echartis, which may be used to store icon generating tools, the component library described herein may be Antd, which may be used to store components required in the data report generating process, such as form generating components, document generating components, and the like.
Hereinafter, the method of generating the data report shown in fig. 1 will be further explained and explained with reference to fig. 2 and 3. Specific:
in step S110, a data report generation request sent by the front end of the page is received, and in response to the data report generation request, the original service data is acquired.
Specifically, in the actual application process, when a user needs to request to generate a certain data report, a corresponding data report generation request can be sent to a rear-end server through the front end of a page; for example, when a credit report of a certain user needs to be requested, a data report generation request corresponding to the credit report can be generated; for another example, when a case report of a certain user needs to be requested, a data report generation request corresponding to the case report may be generated; meanwhile, in the generation process of the data report generation request, the user may fill in the user identification information, the time range required to generate the data report, and the like through the display interface provided at the front end of the page, and other information may also be included, which is not particularly limited in this example.
Secondly, after the back-end server receives the data report generation request, corresponding original service data can be obtained in response to the data report generation request; specifically, in the process of acquiring the original service data, the method can be realized by the following steps: firstly, responding to the data report generation request, and analyzing the data report generation request to obtain a target user identifier and a report name of a target data report to be generated; secondly, determining the service data name of the original service data required by the target data report and the start-stop data generation time interval of the original service data based on the report name of the target data report; and then, acquiring the original service data from a preset user data storage library based on the target user identification, the service data name and the start-stop data generation time interval. That is, in the actual application process, if the original service data needs to be acquired, the service data name and the start-stop data generation time interval need to be determined, and then the original service data is acquired from the corresponding database based on the target user identifier, the service data name and the start-stop data generation time interval.
For example, taking a credit report that needs to be generated as a user, the information that needs to be displayed by the credit report may include, but is not limited to, multi-head trend information and identification card association information; in this scenario, the service data name of the original service data to be acquired may include, but is not limited to, consumption data, loan data, repayment data, storage data, and the like, and may of course include industry information, home address information, and academic information of the user, which is not particularly limited in this example.
In step S120, the original service data is classified and combined to obtain target service data, and the target service data is processed to obtain a page object model.
In this exemplary embodiment, first, the original service data is classified and combined to obtain target service data. Specifically, referring to fig. 4, the method for classifying, combining and processing the original service data to obtain the target service data may include the following steps:
step S410, calling a data processing template required for processing the original service data from a preset front-end database based on the report name of the target data report.
Specifically, in the process of calling the data processing template, firstly, a front-end database needs to be called based on a corresponding application program interface, and then the corresponding data processing template is called from the front-end database based on the application program interface; meanwhile, the data processing templates recorded in the database are customized and stored in the front-end database in advance according to actual needs by corresponding software developers; meanwhile, the data processing template can be updated according to actual needs, and the like; one data report name can correspond to one data processing template or a plurality of data processing templates in the data processing templates stored in the front-end database; meanwhile, a data processing template is required to be set, so that the acquired original business data is mapped into the data processing template, the original business data has corresponding meaning, and further the original business data can be presented in a data report form, so that the user can conveniently check the original business data.
Step S420, extracting the current field included in the data processing template, and extracting the current service data required by the sub-data report corresponding to the current field from the original service data based on the field name of the current field.
In the present exemplary embodiment, first, a current field included in a data processing template is extracted; taking a credit report which needs to be generated as a user as an example, the current field included in the data processing template can include multi-head trend and identity card associated information; wherein, under the multi-headed trend, the multi-headed trend of different time nodes can be divided, such as 1 month, 2 months, 3 months, 4 months, 5 months, 6 months and the like; meanwhile, each multi-head distributed data can also comprise an online banking, a banking consumption finance company, a p2p online credit, a general consumption platform stage, a large consumption finance company, a general industry and the like; further, the method can also comprise an online banking multi-head trend, a banking consumption finance company multi-head trend, a p2p network loan multi-head trend, a general consumption platform stage multi-head trend, a large consumption finance company multi-head trend, a general industry multi-head trend and the like; furthermore, under the related information of the identity card, the method can also comprise an intelligent credit and overdue credit; meanwhile, the credit overdue may also include identity card associated credit overdue under the industry of the whole industry, identity card associated credit overdue under the industry of the subdivision, and the like. It should be noted here that, in the actual application process, the data processing template and the current field included in the data processing template may be determined according to the actual needs, which is not particularly limited in this example.
Secondly, after the current field is extracted, the current service data required by the sub-data report corresponding to the current field can be extracted from the original service data based on the field name of the current field. Specifically, the method can be realized by the following steps: firstly, generating keywords to be queried based on field names of the current fields, and querying sub-service data comprising the keywords to be queried from the original service data; and extracting the sub-service data to obtain the current service data required by the sub-data report corresponding to the current field. In the process of generating the keywords to be queried, word segmentation processing can be performed on field names, then the keywords to be queried are generated based on word segmentation processing results, and sub-service data are extracted from original service data based on the keywords to be queried; by the method, the needed sub-service data can be accurately extracted, and the purpose of improving the accuracy of the obtained data report is achieved.
Step S430, determining a data processing tool required for processing the current service data based on the sub-report category of the sub-data report, and processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field.
In the present exemplary embodiment, the sub-report categories described above may include a form category and an image category; wherein, the table category described herein means that the final sub-data report exists in the form of a table; the image category described herein means that the final sub-data report is in the form of an image; further, determining a data processing tool required for processing the current service data based on the sub-report category of the sub-data report may be implemented as follows: when the sub-report category of the sub-data report is a form category, determining a data processing tool required for processing the current service data as a form processing tool; when the sub-report category of the sub-data report is an image category, determining a data processing tool required for processing the current service data as an image processing tool; the image processing tool comprises at least one of a line graph processing tool, a bar graph processing tool, a pie graph processing tool and a numerical interval mapping processing tool. That is, in the course of actual application, a corresponding table may be generated based on the table processing tool, and corresponding image data may be generated based on the image processing tool.
Further, after the determination of the data processing tool is completed, the current service data can be processed based on the data processing tool to obtain sub-target service data corresponding to the current field; specifically, the method can be realized in the following two ways: the first implementation way is: calling a preset component library, and calling the form processing tool from the preset component library based on a preset application program interface; processing the current service data based on the table processing tool to obtain first sub-target service data corresponding to the current field; wherein the first sub-target business data comprises tabular business data; the second implementation mode is that a preset chart library is called, and the image processing tool is called from the preset chart library based on a preset application program interface; processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field; the second sub-target business data comprises image business data, and the image business data comprises at least one of line graph data, histogram data, pie chart data and numerical interval map data.
In an example embodiment, the processing the current service data to obtain the first sub-target service data corresponding to the current field may be implemented as follows: firstly, acquiring data generation time of the current service data, classifying the current service data belonging to the same time period according to the data generation time, and obtaining a plurality of first data classification results with different time periods; secondly, classifying the first data classification result in the same time period again according to the field name to obtain a second data classification result with the same time period; and then, counting the second data classification results in the same time period to obtain the first sub-target business data corresponding to the current field. That is, in the practical application process, if a sub-data report of a form category needs to be generated, the current business data can be sorted based on the form processing tool to generate a sub-data report of the form category (i.e., the first sub-target business data); specifically, referring to fig. 5, for example, data of 1 month, 2 months, 3 months, 4 months, 5 months and 6 months may be respectively classified to obtain a first data classification result; then, according to a plurality of different dimensions such as online banking, bank consumption finance companies, p2p online loans, general consumption platform stage, large-scale consumption finance companies, general industry and the like, data in the same month are arranged, and a sub-data report shown in figure 5 can be obtained; further, an identity card associated credit expiration report in an all industry scenario and an identity card associated credit expiration report in a sub-industry scenario may also be generated as shown in fig. 6.
In an example embodiment, the processing the current service data based on the image processing tool to obtain the second sub-target service data corresponding to the current field may be implemented as follows: processing the current business data based on a line graph processing tool to obtain line graph data corresponding to the current field; and/or processing the current service data based on a histogram processing tool to obtain histogram data corresponding to the current field; and/or processing the current service data based on a pie chart processing tool to obtain pie chart data corresponding to the current field; and/or processing the current service data based on a numerical interval mapping processing tool to obtain numerical interval mapping graph data corresponding to the current field. That is, in the process of practical application, a line graph as shown in fig. 7 may be generated based on the corresponding processing tool; of course, a numerical range map as shown in fig. 8 may also be generated.
Further, after the target service data is obtained, the target service data can be processed to obtain the page object model. Specifically, the method can be realized by the following steps: firstly, calling a preset interface frame generating tool, and creating a browser instance object through a page creating function in the preset interface frame generating tool; secondly, creating a page object based on the browser instance object, and loading the target business data into the page object based on an application program interface in the preset interface frame generating tool to obtain a text file required by the target webpage; then, analyzing the text file to obtain a hypertext markup language file and/or a cascading style sheet file contained in the text file; and finally, analyzing the hypertext markup language file to obtain a document object model, and/or analyzing the cascading style sheet file to obtain a cascading style sheet object model, and obtaining the page object model based on the document object model and/or the cascading style sheet object model. That is, in the process of actual application, first, an interface frame generation tool puppeterer may be called; then, creating a Browser instance Browser object through puppeter.launch (); further, a Page object is created through a Browser object of a Browser instance, target business data is loaded into the Page object to obtain a text file required by generating a target webpage, and finally, a corresponding operation is executed to obtain a Page object model.
In step S130, a page layout required by the target web page is calculated according to the page object model, and the page layout is rendered, so as to obtain the target web page.
In the present exemplary embodiment, first, a page layout required for a target web page is calculated from a page object model; specifically, the method can be realized by the following steps: and generating a page rendering tree according to the page object model, and calculating the page layout required by the target webpage based on the page rendering tree. That is, in the process of actual application, first, a page rendering tree may be generated according to a document object model and/or a cascading style sheet object model in the page object model; secondly, calculating the corresponding page layout; wherein the page layout is calculated here to ensure that the resulting target data report is the same format as the resulting web page; meanwhile, the problems that the display effect of the visual report in the prior art is not ideal enough, the display of various compound charts cannot be realized, the same display effect cannot be realized with a browser end page, and a customized data report cannot be automatically generated can be avoided.
In step S140, the data conversion is performed on the target web page to obtain a target data report, and the target data report is sent to the front end of the page.
In this exemplary embodiment, first, data conversion is performed on a target web page to obtain a target data report; specifically, the method can be realized by the following steps: converting the current data format of the target webpage into a target data format to obtain the target data report; that is, after the target webpage is obtained, the data format of the target webpage can be converted from the HTML format to the PDF format, and the required target data report can be obtained; finally, the target data report is sent to the front end of the page; after the front end of the page receives the target data report, the target data report can be displayed so that a user can view the target data report.
So far, the data report generation method described in the exemplary embodiments of the present disclosure has been fully implemented. As can be seen from the foregoing, the method for generating a data report according to the exemplary embodiments of the present disclosure has at least the following advantages: on the one hand, the method can be separated from Java service, and Node service is used for supporting Puppeteer to render DOM (Document Object Model ) in a headerless chrome mode, so that the process of visual chart rendering of customized styles is realized; on the other hand, the scheme can also realize the generation of PDF format data reports with various customized styles and complicated styles; on the other hand, the data report generating method provided by the example embodiment of the present disclosure can realize the whole-course automatic generation without manual operation, thereby achieving the purposes of time saving, high efficiency and standardization of report formats and contents.
The following are device embodiments of the present disclosure that may be used to perform method embodiments of the present disclosure. For details not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the method of the present disclosure.
The embodiment of the disclosure also provides a device for generating the data report. Specifically, referring to fig. 9, the data report generating apparatus may include an original service data acquiring module 910, an original service data processing module 920, a page layout rendering module 930, and a data report generating module 940. Wherein:
the original service data obtaining module 910 may be configured to receive a data report generation request sent by the front end of the page, and obtain original service data in response to the data report generation request;
the original service data processing module 920 may be configured to perform classification and combination processing on the original service data to obtain target service data, and process the target service data to obtain a page object model;
the page layout rendering module 930 may be configured to calculate, according to the page object model, a page layout required by a target web page, and render the page layout to obtain the target web page;
The data report generating module 940 may be configured to perform data conversion on the target web page to obtain a target data report, and send the target data report to the front end of the page.
In one exemplary embodiment of the present disclosure, in response to the data report generation request, acquiring the original service data includes: responding to the data report generation request, and analyzing the data report generation request to obtain a target user identifier and a report name of a target data report to be generated; determining a service data name of original service data required for generating the target data report and a start-stop data generation time interval of the original service data based on the report name of the target data report; and acquiring the original service data from a preset user data storage library based on the target user identification, the service data name and the start-stop data generation time interval.
In an exemplary embodiment of the present disclosure, performing classification and combination processing on the original service data to obtain target service data, including: calling a data processing template required by processing the original service data from a preset front-end database based on the report name of the target data report; extracting a current field included in the data processing template, and extracting current service data required by a sub-data report corresponding to the current field from the original service data based on a field name of the current field; and determining a data processing tool required for processing the current service data based on the sub-report category of the sub-data report, and processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field.
In an exemplary embodiment of the present disclosure, extracting current service data required for a sub-data report corresponding to a current field from the original service data based on a field name of the current field includes: generating keywords to be queried based on field names of the current fields, and querying sub-service data comprising the keywords to be queried from the original service data; and extracting the sub-service data to obtain the current service data required by the sub-data report corresponding to the current field.
In an exemplary embodiment of the present disclosure, the sub-report categories include a form category and/or an image category; wherein determining data processing means required for processing the current traffic data based on the sub-report category of the sub-data report comprises: when the sub-report category of the sub-data report is a form category, determining a data processing tool required for processing the current service data as a form processing tool; when the sub-report category of the sub-data report is an image category, determining a data processing tool required for processing the current service data as an image processing tool; the image processing tool comprises at least one of a line graph processing tool, a bar graph processing tool, a pie graph processing tool and a numerical interval mapping processing tool.
In an exemplary embodiment of the present disclosure, processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field includes: calling a preset component library, and calling the form processing tool from the preset component library based on a preset application program interface; processing the current service data based on the table processing tool to obtain first sub-target service data corresponding to the current field; wherein the first sub-target business data comprises tabular business data.
In an exemplary embodiment of the present disclosure, processing the current service data to obtain first sub-target service data corresponding to the current field includes: acquiring the data generation time of the current service data, classifying the current service data belonging to the same time period according to the data generation time, and obtaining a plurality of first data classification results with different time periods; reclassifying the first data classification result in the same time period according to the field name to obtain a second data classification result with the same time period; and counting the second data classification results in the same time period to obtain the first sub-target business data corresponding to the current field.
In an exemplary embodiment of the present disclosure, processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field includes: calling a preset chart library, and calling the image processing tool from the preset chart library based on a preset application program interface; processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field; the second sub-target business data comprises image business data, and the image business data comprises at least one of line graph data, histogram data, pie chart data and numerical interval map data.
In an exemplary embodiment of the present disclosure, processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field includes: processing the current business data based on a line graph processing tool to obtain line graph data corresponding to the current field; and/or processing the current service data based on a histogram processing tool to obtain histogram data corresponding to the current field; and/or processing the current service data based on a pie chart processing tool to obtain pie chart data corresponding to the current field; and/or processing the current service data based on a numerical interval mapping processing tool to obtain numerical interval mapping graph data corresponding to the current field.
In an exemplary embodiment of the present disclosure, processing the target service data to obtain a page object model includes: calling a preset interface frame generating tool, and creating a browser instance object through a page creating function in the preset interface frame generating tool; creating a page object based on the browser instance object, and loading the target business data into the page object based on an application program interface in the preset interface frame generating tool to obtain a text file required for generating the target webpage; analyzing the text file to obtain a hypertext markup language file and/or a cascading style sheet file contained in the text file; analyzing the hypertext markup language file to obtain a document object model, and/or analyzing the cascading style sheet file to obtain a cascading style sheet object model, and obtaining the page object model based on the document object model and/or the cascading style sheet object model.
The specific details of each module in the above-mentioned data report generating device are already described in detail in the corresponding data report generating method, so that they will not be described in detail here.
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 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.
Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 1000 according to such an embodiment of the present disclosure is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.
As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. Components of electronic device 1000 may include, but are not limited to: the at least one processing unit 1010, the at least one memory unit 1020, a bus 1030 connecting the various system components (including the memory unit 1020 and the processing unit 1010), and a display unit 1040.
Wherein the storage unit stores program code that is executable by the processing unit 1010 such that the processing unit 1010 performs steps according to various exemplary embodiments of the present disclosure described in the above section of the present specification. For example, the processing unit 1010 may perform step S110 as shown in fig. 1: receiving a data report generation request sent by the front end of a page, and responding to the data report generation request to acquire original service data; step S120: performing classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model; step S130: calculating the page layout required by the target webpage according to the webpage object model, and rendering the page layout to obtain the target webpage; step S140: and carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage.
The memory unit 1020 may include readable media in the form of volatile memory units such as Random Access Memory (RAM) 10201 and/or cache memory unit 10202, and may further include Read Only Memory (ROM) 10203.
The storage unit 1020 may also include a program/utility 10204 having a set (at least one) of program modules 10205, such program modules 10205 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.
Bus 1030 may be representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 1000 can also communicate with one or more external devices 1100 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1050. Also, electronic device 1000 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1060. As shown, the network adapter 1060 communicates with other modules of the electronic device 1000 over the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with the electronic device 1000, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
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 embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. 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.
A program product for implementing the above-described method according to an embodiment of the present disclosure 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++ or 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).
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.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention 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.
Claims (13)
1. A method of generating a data report, comprising:
receiving a data report generation request sent by the front end of a page, and responding to the data report generation request to acquire original service data;
performing classification and combination processing on the original service data to obtain target service data, and processing the target service data to obtain a page object model;
Calculating the page layout required by the target webpage according to the webpage object model, and rendering the page layout to obtain the target webpage;
and carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage.
2. The method of generating a data report according to claim 1, wherein obtaining raw service data in response to the data report generation request comprises:
responding to the data report generation request, and analyzing the data report generation request to obtain a target user identifier and a report name of a target data report to be generated;
determining a service data name of original service data required by the target data report and a start-stop data generation time interval of the original service data based on the report name of the target data report;
and acquiring the original service data from a preset user data storage library based on the target user identification, the service data name and the start-stop data generation time interval.
3. The method for generating a data report according to claim 1, wherein the step of performing classification and combination processing on the original service data to obtain target service data comprises:
Calling a data processing template required by processing the original service data from a preset front-end database based on the report name of the target data report;
extracting a current field included in the data processing template, and extracting current service data required by a sub-data report corresponding to the current field from the original service data based on a field name of the current field;
and determining a data processing tool required for processing the current service data based on the sub-report category of the sub-data report, and processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field.
4. The method for generating a data report according to claim 3, wherein extracting current service data required for a sub-data report corresponding to a current field from the original service data based on a field name of the current field, comprises:
generating keywords to be queried based on field names of the current fields, and querying sub-service data comprising the keywords to be queried from the original service data;
and extracting the sub-service data to obtain the current service data required by the sub-data report corresponding to the current field.
5. A method of generating a data report in accordance with claim 3 wherein the sub-report categories comprise a tabular category and/or an image category;
wherein determining data processing means required for processing the current traffic data based on the sub-report category of the sub-data report comprises:
when the sub-report category of the sub-data report is a form category, determining a data processing tool required for processing the current service data as a form processing tool;
when the sub-report category of the sub-data report is an image category, determining a data processing tool required for processing the current service data as an image processing tool; the image processing tool comprises at least one of a line graph processing tool, a bar graph processing tool, a pie graph processing tool and a numerical interval mapping processing tool.
6. The method for generating a data report according to claim 5, wherein processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field comprises:
calling a preset component library, and calling the form processing tool from the preset component library based on a preset application program interface;
Processing the current service data based on the table processing tool to obtain first sub-target service data corresponding to the current field; wherein the first sub-target business data comprises tabular business data.
7. The method for generating a data report according to claim 6, wherein processing the current service data to obtain first sub-target service data corresponding to the current field comprises:
acquiring the data generation time of the current service data, classifying the current service data belonging to the same time period according to the data generation time, and obtaining a plurality of first data classification results with different time periods;
reclassifying the first data classification result in the same time period according to the field name to obtain a second data classification result with the same time period;
and counting the second data classification results in the same time period to obtain the first sub-target business data corresponding to the current field.
8. The method for generating a data report according to claim 5, wherein processing the current service data based on the data processing tool to obtain sub-target service data corresponding to the current field comprises:
Calling a preset chart library, and calling the image processing tool from the preset chart library based on a preset application program interface;
processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field; the second sub-target business data comprises image business data, and the image business data comprises at least one of line graph data, histogram data, pie chart data and numerical interval map data.
9. The method for generating a data report according to claim 8, wherein processing the current service data based on the image processing tool to obtain second sub-target service data corresponding to the current field comprises:
processing the current business data based on a line graph processing tool to obtain line graph data corresponding to the current field; and/or
Processing the current service data based on a histogram processing tool to obtain histogram data corresponding to the current field; and/or
Processing the current service data based on a pie chart processing tool to obtain pie chart data corresponding to the current field; and/or
And processing the current service data based on a numerical interval mapping processing tool to obtain numerical interval mapping graph data corresponding to the current field.
10. The method for generating a data report according to any one of claims 1 to 9, wherein processing the target service data to obtain a page object model includes:
calling a preset interface frame generating tool, and creating a browser instance object through a page creating function in the preset interface frame generating tool;
creating a page object based on the browser instance object, and loading the target business data into the page object based on an application program interface in the preset interface frame generating tool to obtain a text file required for generating the target webpage;
analyzing the text file to obtain a hypertext markup language file and/or a cascading style sheet file contained in the text file;
analyzing the hypertext markup language file to obtain a document object model, and/or analyzing the cascading style sheet file to obtain a cascading style sheet object model, and obtaining the page object model based on the document object model and/or the cascading style sheet object model.
11. A data report generating apparatus, comprising:
the original business data acquisition module is used for receiving a data report generation request sent by the front end of the page and responding to the data report generation request to acquire original business data;
the original business data processing module is used for carrying out classification and combination processing on the original business data to obtain target business data, and processing the target business data to obtain a page object model;
the page layout rendering module is used for calculating the page layout required by the generation of the target webpage according to the page object model, and rendering the page layout to obtain the target webpage;
and the data report generating module is used for carrying out data conversion on the target webpage to obtain a target data report, and sending the target data report to the front end of the webpage.
12. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the method of generating a data report according to any of claims 1-10.
13. An electronic device, comprising:
A processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of generating a data report of any of claims 1-10 via execution of the executable instructions.
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