CN116303462A - Report processing method, device, storage medium and electronic equipment - Google Patents

Abstract

The invention discloses a report processing method, a report processing device, a storage medium and electronic equipment, and relates to the field of financial science and technology. Wherein the method comprises the following steps: obtaining a report file to be analyzed, wherein the report file to be analyzed comprises a plurality of reports to be analyzed, and the reports to be analyzed comprise performance data of target equipment; determining at least one target report to be analyzed from a plurality of reports to be analyzed according to a first analysis condition, wherein the first analysis condition comprises at least one of the following: report generation date, report type and report version; determining a target analysis rule corresponding to at least one target report to be analyzed, and analyzing the at least one target report to be analyzed according to the target analysis rule to obtain an analysis result, wherein the analysis result represents the performance condition of target equipment. The invention solves the technical problem of low processing efficiency in the prior art by manually collecting and analyzing report data.

Description

Report processing method, device, storage medium and electronic equipment

technical field

The present invention relates to the field of financial science and technology, in particular to a report processing method, device, storage medium and electronic equipment.

Background technique

IBM's large-scale integrated mainframe has the characteristics of high integration, high reliability and strong scalability, and is widely used to process large-scale transactions. Most financial institutions use large-scale mainframes to process core business, and DB2 (relational database management system) is used as the mainframe The core product of the system is stable and timely in terms of data storage and transaction response.

At present, the data collection and analysis of the performance monitoring report (Performance Monitor, PM) of the mainframe DB2 product is mainly through manual filtering and screening of report files, collecting performance data, and using tools such as EXCEL for comparative chart analysis, which has low processing efficiency , The problem of high error rate cannot meet the user's time limit, and the data analysis process has high requirements for the user's experience and technical level.

For the above problems, no effective solution has been proposed yet.

Contents of the invention

Embodiments of the present invention provide a report processing method, device, storage medium, and electronic equipment to at least solve the technical problem of low processing efficiency in the prior art through manual collection and analysis of report data.

According to an aspect of an embodiment of the present invention, a report processing method is provided, including: obtaining a report file to be analyzed, wherein the report file to be analyzed includes a plurality of reports to be analyzed, and the plurality of reports to be analyzed includes performance data of a target device; According to the first analysis condition, at least one target report to be analyzed is determined from a plurality of reports to be analyzed, wherein the first analysis condition includes at least one of the following: report generation date, report type, report version; at least one target report to be analyzed is determined Corresponding target analysis rules, and according to the target analysis rules, at least one target report to be analyzed is analyzed and processed to obtain an analysis result, wherein the analysis result represents the performance of the target device.

Further, the report processing method also includes: obtaining multiple initial reports associated with the target device; according to the scene information corresponding to the multiple initial reports, adding corresponding scene identifiers to the names of the multiple initial reports to obtain multiple reports to be analyzed; Multiple reports to be analyzed, generate report files to be analyzed.

Further, the report type includes at least one of the following types: the first type and the second type, and the performance data corresponding to the first type and the second type are different, and the report processing method further includes: obtaining a rule data table of a parsing rule corresponding to the report version ;Query the target data corresponding to the report type from the rule data table, and splicing the target data to obtain the target parsing rules, wherein the target data includes at least one of the following: the name of the performance data, the data type of the performance data, the analysis Rule data, parsing rule data represents the way of parsing performance data.

Further, the report processing method further includes: according to the name of the performance data and the data type of the performance data, determining the target performance data from the performance data of at least one target report to be analyzed; analyzing and processing the target performance data according to the analysis rule data, Get the analysis result.

Further, the report processing method further includes: after obtaining the report file to be analyzed, performing format conversion processing on the report file to be analyzed, obtaining the converted report file to be analyzed, and storing the converted report file to be analyzed in the first directory.

Further, the report processing method further includes: before determining at least one target report to be analyzed from a plurality of reports to be analyzed according to the first parsing condition, in the case of receiving the first target request, obtaining the Editing request information, wherein the first target request is one of the following: adding an editing request, modifying an editing request, and the editing request information represents editing information for the parsing rules; the first parsing rule is generated according to the editing request information.

Further, the editing request information includes at least one of the following: the first report type, the first report version, the name of the first performance data, the data type of the first performance data, and the first parsing rule data, and the report processing method further includes: if The first target request is a new editing request, then according to the first report type and the first report version, generate the first target data table; according to the name of the first performance data and the data type of the first performance data, obtain the first target data table from the database a target data, and store the first target data in the first target data table; add the first parsing rule data in the first target data table to generate the first parsing rule.

Further, the report processing method further includes: if the first target request is a modification and editing request, generating a second target data table according to the first report type and the first report version; the data type, obtain the first target data from the database, and store the first target data in the second target data table; in the second target data table, update the parsing rules corresponding to the first target data according to the first parsing rule data , generating the first parsing rule.

Further, the report processing method further includes: after determining the target analysis rule corresponding to at least one target report to be analyzed, and according to the target analysis rule, performing analysis processing on at least one target report to be analyzed, and obtaining the analysis result, before receiving the second In the case of a target request, obtain the query request information in the second target request, wherein the query request information includes at least one of the following: target report generation date, target report type, target report version, target performance data name; according to the query request information, obtain target analysis result data from the database, and generate a target analysis result file; generate a target chart according to the target analysis result file, wherein the target chart is used to display the target analysis result data to the target object.

According to another aspect of the embodiments of the present invention, there is also provided a report processing device, including: an acquisition module for obtaining a report file to be analyzed, wherein the report file to be analyzed includes a plurality of reports to be analyzed, and a plurality of reports to be analyzed Including performance data of the target device; a determining module, configured to determine at least one target report to be analyzed from a plurality of reports to be analyzed according to a first analysis condition, wherein the first analysis condition includes at least one of the following: report generation date, report Type, report version; processing module, used to determine at least one target analysis rule corresponding to the target report to be analyzed, and according to the target analysis rule, analyze and process at least one target report to be analyzed, and obtain the analysis result, wherein the analysis result represents the target The performance of the equipment.

According to another aspect of the embodiments of the present invention, a computer-readable storage medium is also provided, and a computer program is stored in the computer-readable storage medium, wherein the computer program is configured to execute the above report processing method when running.

According to another aspect of the embodiments of the present invention, there is also provided an electronic device, the electronic device includes one or more processors; memory, used to store one or more programs, when one or more programs are used by one or more When the processors are executed, one or more processors are implemented to run the program, wherein the program is set to execute the above report processing method when running.

In the embodiment of the present invention, the method of automatically analyzing report performance data is adopted. First, the report file to be analyzed is obtained, and then according to the first analysis condition, at least one target report to be analyzed is determined from a plurality of reports to be analyzed, and then at least one target report is determined. A target analysis rule corresponding to the report to be analyzed, and according to the target analysis rule, at least one target report to be analyzed is analyzed to obtain an analysis result. Wherein, the report file to be analyzed includes multiple reports to be analyzed, and the multiple reports to be analyzed include performance data of the target device, and the first analysis condition includes at least one of the following: report generation date, report type, report version, and the analysis result represents the target device performance situation.

In the above process, by obtaining the report file to be analyzed, a data basis is provided for subsequent analysis processing; according to the first analysis condition, at least one target report to be analyzed can be determined from a plurality of reports to be analyzed, so that at least A target analysis rule corresponding to a target report to be analyzed can then analyze and process at least one target report to be analyzed according to the target analysis rule, which saves labor costs and time costs, improves the processing efficiency of report analysis and processing, and improves report analysis. The accuracy of the processing improves the reliability of the system, and it can also meet the needs of users to obtain accurate performance analysis reports in a timely manner, and provides convenience for users to analyze and process reports.

It can be seen that, through the technical solution of the present invention, the purpose of reducing the labor cost and time cost of report analysis and processing is achieved, thereby realizing the technical effect of improving the processing efficiency of report analysis and processing, and then solving the problem of manual collection in the prior art. And analysis of report data, there is a technical problem of low processing efficiency.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention and constitute a part of the application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention. In the attached picture:

FIG. 1 is a flow chart of an optional report processing method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of an optional report processing system according to an embodiment of the present invention;

Fig. 3 is the implementation flowchart of a kind of optional PM report upload according to the embodiment of the present invention;

Fig. 4 is an implementation flowchart of an optional PM report analysis according to an embodiment of the present invention;

Fig. 5 is a kind of optional concrete analysis flowchart of PM statement according to the embodiment of the present invention;

FIG. 6 is an implementation flow chart of an optional agile secondary development and deployment of PM reports according to an embodiment of the present invention;

Fig. 7 is a modification flow chart of an optional secondary development index definition module and analysis mode module according to an embodiment of the present invention;

FIG. 8 is a flow chart of an optional PM report analysis result query according to an embodiment of the present invention;

Fig. 9 is an implementation flowchart of an optional one-click export of PM reports according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of an optional report processing device according to an embodiment of the present invention;

Fig. 11 is a schematic diagram of an optional electronic device according to an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

It should be noted that the relevant information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in the present invention are authorized by the user. Or information and data fully authorized by the parties. For example, there is an interface between this system and relevant users or institutions. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or institution through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or institution. information.

Example 1

According to an embodiment of the present invention, an embodiment of a report processing method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and, although In the flowcharts, a logical order is shown, but in some cases the steps shown or described may be performed in an order different from that shown or described herein.

Fig. 1 is a flow chart of an optional report processing method according to an embodiment of the present invention. As shown in Fig. 1, the method includes the following steps:

Step S101, obtaining a report file to be analyzed, wherein the report file to be analyzed includes a plurality of reports to be analyzed, and the plurality of reports to be analyzed includes performance data of the target device;

Step S102: Determine at least one target report to be analyzed from a plurality of reports to be analyzed according to the first analysis condition, wherein the first analysis condition includes at least one of the following: report generation date, report type, and report version;

Step S103: Determine the target analysis rule corresponding to at least one target report to be analyzed, and perform analysis processing on the at least one target report to be analyzed according to the target analysis rule to obtain an analysis result, wherein the analysis result represents the performance of the target device.

Specifically, in the above step S101, the report file to be analyzed may be obtained through an application system, a processor, an electronic device and other devices. Optionally, the report file to be analyzed is obtained through the report processing system, the report to be analyzed may be a performance monitoring report (PM report) of DB2, and the target device may be a mainframe. Among them, the PM report of DB2 includes ACCOUNTING report and STAT report. The ACCOUNTING report focuses on the analysis of the number of database data manipulation languages (Data ManipulationLanguage, DML) and DML processing performance. The STAT report focuses on the consumption of resources such as database CPU and memory. Analysis of performance. Optionally, the performance data may be DML processing performance data, CPU performance data, memory performance data, and the like.

Fig. 2 is the schematic diagram of a kind of optional report processing system according to the embodiment of the present invention, as shown in Fig. 2, comprises PM report performance automatic analysis request device (D1), PM report performance automatic analysis result storage device (D2), PM report performance automatic analysis response device (D3). Among them, D1 includes the PM report upload request module, the PM report one-click analysis request module, the multi-dimensional analysis chart display request module on the web page, the one-key chart archiving request module, and the agile development request module; D2 includes the index field type definition module, analysis The result reading and writing module, the analysis method module under various DB2 product versions; D3 includes the report storage module, analysis module, response module, and new demand module. Among them, the analysis method modules under various DB2 product versions include the index field type definition module version and the analysis module version under a certain DB2 version.

Optionally, in this embodiment, the report processing system is composed of VUE front-end scaffolding, MYSQL database and PYTHON back-end data processing full-stack architecture, wherein, the above-mentioned functional modules of D1 are realized through the VUE front-end, and the MYSQL database realizes The above-mentioned functional modules of D2, the back-end realizes the above-mentioned functional modules of D3 by using PYTHON.

Optionally, in this embodiment, the above-mentioned modules are linked with each other to realize the following functions:

Function 1: When the user triggers the front-end web page to request the PM report upload function, the back-end response module will specify the URL to link with the report storage module, and store the report file in the back-end temporary directory;

Function 2: When the user specifies the generation date of the PM report and the DB2 product version to trigger the front-end web page to request the one-click analysis function of the PM report, the back-end response module will link the specified URL to respond to the parsing module of the DB2 product version to complete the report parsing, and define it according to the index field type The data type of the module is linked with the analysis result writing module to store the analysis result in the MYSQL storage device. After the analysis is completed, the scheduling report storage module will delete the PM report in the temporary directory;

Function 3: When user-specified dimensions, PM report generation date, DB2 product version, indicator name or table name and other items trigger the front-end web page to request the multi-dimensional analysis chart display function, the back-end response module will combine the specified URL with the response item as the joint primary key, The linkage analysis result reading function outputs the analysis data that needs to be displayed, and returns the analysis data to the front-end web page through the URL, and the front-end web page uses the chart drawing component to complete the rendering of the analysis data;

Function 4: The user specifies PM report generation date and DB2 product version. When the front-end web page requests the one-click archiving function for charts, the back-end response module will combine the specified URL with the specified items, archive the WORD template through the chart, and read the linked analysis results. The extraction function uses front-end components such as docxtemplater and file-saver to complete the one-click generation of original analysis data in the form of archiving analysis reports.

Function 5: When the DB2 product version is upgraded, which affects the PM performance report format of the DB2 product, resulting in a change in the indicator screening rules or the number of indicators, the user specifies the DB2 product version, triggers the front-end web page to request the agile development function, and the back-end response module will specify URL linkage new requirement module completes index modification. After the new requirement module is completed, the definition module and analysis module of scheduling index field type will be modified synchronously, and the modified version will be stored in the analysis method module under various DB2 product versions. in the data table.

The implementation process of the above functions will be described in detail below.

Fig. 3 is a kind of implementation flow chart of optional PM report uploading according to the embodiment of the present invention, as shown in Fig. 3, the realization process for function 1 (PM report uploading) specifically includes the following steps:

Step S201, remotely log in to the mainframe server terminal, download the PM report of the DB2 product to the local path, and modify the current file name to "scene name + original file name". You can specify what scene each file is generated by using the file name. For example, the original file name is D221021, the scene is the base scene, and the modified file name is scene1_BASE+D221021.

In an optional embodiment, in the process of obtaining the report file to be analyzed, first obtain multiple initial reports associated with the target device, and then add A plurality of reports to be analyzed are obtained for corresponding scene identifiers, and then a report file to be analyzed is generated according to the plurality of reports to be analyzed.

Optionally, first download the PM report file (that is, multiple initial reports associated with the mainframe) from the mainframe server to the local, and then add corresponding Scenario identification, to get multiple reports to be analyzed (reports with modified names), that is, modify the current file name to "scene name + original file name", for example, the original file name is D221021, the scene is the benchmark scene, and the modified file name is It is scene1_BASE+D221021. Further, a report file to be analyzed is generated according to the plurality of reports to be analyzed.

Step S202, the user triggers the PM report upload function, and the front-end calls the el-upload component to request the back-end report file storage service by specifying the URL to upload the uploaded file in formdata format.

Step S203, after receiving the front-end request, the back-end converts the formdata format data passed in by the front-end into a UTF-8 format file by specifying the URL.

Step S204, saving the UTF-8 format file to the temporary storage directory of the original report file specified by the backend.

In an optional embodiment, after the report file to be analyzed is obtained, format conversion processing is performed on the report file to be analyzed to obtain the converted report file to be analyzed, and the converted report file to be analyzed is stored in the first directory .

Optionally, the first directory may be a temporary directory. After receiving the PM report upload request triggered by the target object (that is, the user), the front end uploads and saves the PM report from the local path to the temporary storage directory of the original report file specified by the back end. Optionally, first perform format conversion processing on the report file to be analyzed, for example, convert the formdata format data imported from the front end into a UTF-8 format file, obtain the converted report file to be analyzed, and convert the converted report file to be analyzed Store to a temporary directory, that is, save the UTF-8 format file to the temporary storage directory of the original report file specified by the backend.

Specifically, in the above steps S102 and S103, the first analysis condition may be an analysis condition generated according to the report generation date, report type, and report version in the user's analysis request, and according to the first analysis condition, multiple Determine at least one target report to be analyzed in the report, for example, the report generation date is X month X day, the report type is ACCOUNTING report, and the report version is DB2 1.0 version.

Fig. 4 is the implementation flowchart of a kind of optional PM report parsing according to the embodiment of the present invention, as shown in Fig. 4, the realization process for function 2 (PM report parsing) specifically includes the following steps:

Step S301, the front end uses the el-dialog component to create a form, and the content of the created form includes "PM report generation date", "PM report type" and "DB2 product version".

Step S302, before parsing, the user triggers the form button, fills in the contents of "PM report generation date", "PM report type" and "DB2 product version", and clicks OK.

Step S303, the user triggers the report parsing function, transmits the form content to the backend through a specified URL and requests the backend report parsing service.

Step S304, the backend receives the frontend form content, confirms the report analysis method, analyzes the report file in the temporary storage directory, splits the report file name in the temporary storage directory, and extracts the scene name. That is, according to the first analysis condition, at least one target report to be analyzed is determined from a plurality of reports to be analyzed, a target analysis rule corresponding to at least one target report to be analyzed is determined, and at least one target report to be analyzed is analyzed according to the target analysis rule Process to get the analysis result. Optionally, if the DB2 product version is not specified, the default DB2 version is used for the first time. The parsing methods of other DB2 product versions can be generated by agile secondary development. Different types of PM reports correspond to different report parsing methods.

Step S305, after the back-end analysis is completed, the received front-end form content, scene name and analysis result fields are stored in the storage table of the MYSQL storage device.

Step S306, delete the report file uploaded by the front end to the temporary storage directory of the back end.

It should be noted that, through the above process, labor costs and time costs are saved, the processing efficiency of report analysis and processing is improved, and the accuracy of report analysis and processing is improved, thereby improving the reliability of the system.

Based on the scheme defined in the above steps S101 to S103, it can be known that in the embodiment of the present invention, using the method of automatically analyzing report performance data, the report file to be analyzed is first obtained, and then according to the first analysis condition, from a plurality of reports to be analyzed Determine at least one target report to be analyzed in the report, then determine the target analysis rule corresponding to the at least one target report to be analyzed, and perform analysis processing on the at least one target report to be analyzed according to the target analysis rule to obtain an analysis result. Wherein, the report file to be analyzed includes multiple reports to be analyzed, and the multiple reports to be analyzed include performance data of the target device, and the first analysis condition includes at least one of the following: report generation date, report type, report version, and the analysis result represents the target device performance situation.

It is easy to notice that in the above process, by obtaining the report file to be analyzed, a data basis is provided for subsequent analysis processing; according to the first analysis condition, at least one target report to be analyzed can be determined from multiple reports to be analyzed , so that at least one target analysis rule corresponding to the target report to be analyzed can be determined, and at least one target report to be analyzed can be analyzed and processed according to the target analysis rule, which saves labor costs and time costs, and improves the processing of report analysis and processing Efficiency improves the accuracy of report analysis and processing, thereby improving the reliability of the system. It can also well meet the needs of users to obtain accurate performance analysis reports in a timely manner, and provides convenience for users to perform report analysis and processing.

It can be seen that, through the technical solution of the present invention, the purpose of reducing the labor cost and time cost of report analysis and processing is achieved, thereby realizing the technical effect of improving the processing efficiency of report analysis and processing, and then solving the problem of manual collection in the prior art. And analysis of report data, there is a technical problem of low processing efficiency.

In an optional embodiment, the report type includes at least one of the following types: the first type and the second type, and the performance data corresponding to the first type and the second type are different, wherein, when determining at least one target to be analyzed report corresponds to In the process of target parsing rules, first obtain the rule data table of the parsing rules corresponding to the report version, then query the target data corresponding to the report type from the rule data table, and splicing the target data to obtain the target parsing rules. Wherein, the target data includes at least one of the following: the name of the performance data, the data type of the performance data, and analysis rule data, and the analysis rule data represents an analysis method for the performance data.

Optionally, the first type of report may be an ACCOUNTING report, and the second type of report may be a STAT report. Because the report contents have different emphases, the name, type and analysis rules of the analytical indicators are different.

Fig. 5 is a kind of optional PM report specific parsing flowchart according to the embodiment of the present invention, as shown in Fig. 5, specifically comprises the following steps:

Step S401, according to the "DB2 product version" parameter obtained from the front end, call the data table of the index definition and analysis mode module under the corresponding version (that is, obtain the rule data table of the analysis rules corresponding to the report version), according to the obtained from the front end The "PM report type" parameter is used to query the records of corresponding indicators and their indicator types and parsing rules in the data table (that is, query the target data corresponding to the report type from the rule data table).

Step S402: Polling the query records obtained in step S401 to obtain all index performance values, that is, splicing the target data to obtain target analysis rules. Specifically, a record is taken out and spliced to obtain the index performance value. For example, the index name (that is, the name of the performance data) is CPU, the data type (that is, the data type of the performance data) is the floating point type, and the parsing rule data is line_data[i+ 2][15:25] (that is, convert each line of the file into a list format), the target parsing rule obtained through splicing processing is CPU=float(line_data[i+2][15:25]), where i is the line number , the first square bracket indicates the row number of the row, and the second square bracket indicates the column number of the row. Other records are processed in the same way as above. When all records are polled, all performance indicator data is obtained.

Step S403, read the report file in the back-end temporary storage directory, and obtain the scene name of the report file according to step S304.

Step S404, put the above content ("PM report generation date", "PM report type", "DB2 product version", "scene name", "MEMBER name", "corresponding performance index value") into the MYSQL storage device storage table Inside. Optionally, if the PM report type is ACCOUNTING type, put it into the ACCOUNTING data table; if the PM report type is STAT type, then put it into the STAT data table.

It should be noted that by splicing the target data, target parsing rules can be obtained, which provides a data basis for subsequent data analysis, thereby improving the accuracy of report analysis and processing and reducing error rates.

In an optional embodiment, in the process of parsing at least one target report to be analyzed according to the target parsing rules and obtaining the parsing result, firstly, according to the name of the performance data and the data type of the performance data, at least one The target performance data is determined from the performance data of the target report to be analyzed, and then the target performance data is analyzed and processed according to the analysis rule data to obtain the analysis result.

Optionally, according to the name of the performance data and the data type of the performance data, the target performance data can be determined from the performance data of at least one target report to be analyzed, for example, the name of the performance data is CPU, and the data type of the performance data is float point type, then it can be determined from DML processing performance data, CPU performance data, memory performance data and other performance data that the target performance data is CPU performance data of floating point type.

Further, according to the analysis rule data, the target performance data is analyzed and processed to obtain the analysis result. For example, the analysis rule data is line_data[i+2][15:25] (that is, each line of the file is converted into a list format), and the floating The CPU performance data of the point type is analyzed and processed, and the corresponding CPU resource performance consumption can be obtained, that is, the analysis result is obtained.

It should be noted that by analyzing and processing the target performance data, the analysis results are obtained, which improves the processing efficiency of report analysis and processing, and can be followed up according to dimensions (indicator level or table level), PM report generation date, DB2 product version, indicator Name or table name, etc. are filtered to obtain the required PM report performance analysis data, which satisfies the user's needs for timely and accurate performance analysis reports, and provides convenience for users to analyze and process reports.

In an optional embodiment, before at least one target report to be analyzed is determined from a plurality of reports to be analyzed according to the first parsing condition, when the first target request is received, the The edit request information, and then generate the first parsing rule according to the edit request information. Wherein, the first target request is one of the following: adding an editing request, modifying an editing request, and the editing request information represents editing information for the parsing rule.

Optionally, the first target request may be a secondary development request, that is, a new editing request or a modification editing request, and the first parsing rule may be a new parsing rule obtained through adding editing or modifying editing.

Fig. 6 is an implementation flowchart of an optional agile secondary development and deployment of PM reports according to an embodiment of the present invention. As shown in Fig. 6, the implementation process for function 5 (agile secondary development and deployment) specifically includes the following steps:

Step S501, the front end uses the el-dialog component to create a secondary development demand form, and the form entries include "DB2 product version, report type (ACCOUNTING or STAT), add indicator name, indicator type and analysis rules, specify indicator name, modify indicator name, Indicator types and parsing rules".

Step S502, before deploying the agile secondary development function, that is, before adding the report analysis method, the user triggers the form button, edits the corresponding item according to the requirement, and clicks OK, and the front end transmits the required item to the back end through the specified URL.

Step S503, the backend receives the requirement entry from the frontend (that is, in the case of receiving the first target request, obtains the edit request information in the first target request), and processes them respectively (that is, generates the first target request information according to the edit request information) First, create a data table with the same name as the field and analysis method for the DB2 product version, then copy the initial index definition module, and modify the index definition module according to the added or modified index name or type, and finally, according to the newly added Or modify the requirements of the field filtering rules, and modify the created parsing mode module.

Step S504, through the above steps, the addition of the analysis method is completed. When the user calls the report analysis function, select the DB2 product version and the report type (ACCOUNTING or STAT), and the analysis module under the corresponding version can be called, and the analysis result will also be Stored in the data table under the corresponding version.

It should be noted that in the above process, the agile deployment function of the secondary development has been realized. When the indicators change, the development requirements can be added through the webpage, and the PM report analysis method can be added and launched to better satisfy users. usage requirements.

In an optional embodiment, the editing request information includes at least one of the following: the first report type, the first report version, the name of the first performance data, the data type of the first performance data, and the first parsing rule data, Wherein, in the process of generating the first parsing rule according to the editing request information, if the first target request is a newly added editing request, the first target data table is generated according to the first report type and the first report version, and then the first target data table is generated according to the first The name of a performance data and the data type of the first performance data, obtain the first target data from the database, and store the first target data in the first target data table, and then add the first analysis in the first target data table The rule data is used to generate the first parsing rule.

In an optional embodiment, in the process of generating the first parsing rule according to the editing request information, if the first target request is a modification editing request, then according to the first report type and the first report version, a second The target data table, then according to the name of the first performance data and the data type of the first performance data, obtain the first target data from the database, and store the first target data in the second target data table, and then in the second target data In the table, the parsing rules corresponding to the first target data are updated according to the first parsing rule data to generate the first parsing rules.

Fig. 7 is a modification flow chart of an optional secondary development index definition module and analysis mode module according to an embodiment of the present invention. As shown in Fig. 7, the modification process specifically includes the following steps:

Step S601, according to the DB2 product version entry (ie the first report version) in the secondary development requirements, create a data table with the same name for storing the modified indicator definition and analysis mode module, that is, create a data table with the same name as the report corresponding to the version. Optionally, if the first target request is a new editing request, then according to the first report type (ACCOUNTING or STAT) and the first report version, generate the first target data table (that is, the data table corresponding to the new editing request); If the first target request is a modification and editing request, a second target data table (that is, a data table corresponding to the modification and editing request) is generated according to the first report type and the first report version.

Step S602, when the secondary development requirement function is triggered, copy the content of the initial data table (that is, the data table that stores the initial index definition and analysis mode module) (that is, according to the name of the first performance data and the data type of the first performance data, from The first target data from the database) to the newly added data table (ie the first target data table or the second target data table), the content includes the report type (ACCOUNTING or STAT), the name of each indicator and its type (ie the first target data table) The name of the performance data, the data type of the first performance data, for example, the name of the first performance data is CPU, and the data type of the performance data is a floating point type, a numerical type or a character string type) and its resolution method (i.e. the first Parsing rule data, that is, field filtering rules, for example, the value of a certain indicator is in several columns of data containing a certain keyword). Optionally, if the first target request is a new editing request, then according to the name of the first performance data and the data type of the first performance data, the first target data is obtained from the database, and the first target data is stored in the first A target data table; if the first target request is a modification editing request, then according to the name of the first performance data and the data type of the first performance data, the first target data is obtained from the database, and the first target data is stored in the first Two target data tables.

Step S603, if the demand for secondary development is a new index (that is, if the first target request is a new editing request), use a SQL statement to add a row of records in the data table obtained in step S602 (that is, the first target data table) , for example, insertinto tablename(name,kind,rule)values(new indicator name, new indicator name type, new indicator filtering rule)where table='accounting'), that is, to complete the indicator definition and its parsing method data table new Added insertion (that is, adding the first analysis rule data in the first target data table to generate the first analysis rule); if the secondary development requirement is to modify the original index requirement (that is, if the first target request is a modification editing request) , it is necessary to update the modified records after filtering (for example, update tablename set kind = modify the index name type, rule = index filtering rule wheretable = 'accounting' and name = modify the index name), complete the update of the index definition and parsing method modification ( That is, in the data table obtained in step S602 (ie, the second object data table), the analysis rule corresponding to the first object data is updated according to the first analysis rule data, and the first analysis rule is generated).

Step S604, when calling the report parsing function, the DB2 product version and report type (ACCOUNTING or STAT) will be used to filter out the definition of indicators in the corresponding data table and the value filtering rules to obtain the final parsing result.

It should be noted that in the above process, the agile deployment function of the secondary development has been realized. When the indicators change, the development requirements can be added through the webpage, and the PM report analysis method can be added and launched to better satisfy users. usage requirements.

In an optional embodiment, after determining the target parsing rule corresponding to at least one target report to be analyzed, and according to the target parsing rule, at least one target report to be analyzed is parsed, and before the parsing result is obtained, before receiving the first In the case of a second target request, obtain the query request information in the second target request, then obtain the target analysis result data from the database according to the query request information, generate a target analysis result file, and then generate a target chart according to the target analysis result file. Wherein, the target graph is used to display the target analysis result data to the target object, and the query request information includes at least one of the following: target report generation date, target report type, target report version, and target performance data name.

Optionally, the second target request may be a query request, and the target parsing result data may be data determined according to query request information such as target report generation date, target report type, target report version, and target performance data name.

Fig. 8 is a kind of optional flow chart of querying PM report analysis results according to an embodiment of the present invention. As shown in Fig. 8, the implementation process for function 3 (report analysis result query) specifically includes the following steps:

In step S701, the front end uses the el-form component to create a filter item, and the content of the filter item includes "filter dimension (index level or table level), PM report generation date, DB2 product version, index name or table name".

Step S702, the front end sets the early warning rules for each performance indicator in multiple scenarios. The early warning rules include two types, namely, threshold alarms and trend alarms, and the priority of threshold alarms is higher than that of trend alarms. Threshold alarms indicate when certain types of performance When the indicator exceeds the set value in a certain scenario, the column graph (or line graph, etc.) displayed on the chart is red. When the value of a certain performance indicator shows an upward trend in multiple scenarios, the column graph displayed on the graph (or line graphs, etc.) are orange.

Step S703, before screening, the user fills in the screening items (that is, query request information, including at least one of the following: target report generation date, target report type, target report version, and target performance data name) on the front-end web page to trigger the query function.

Step S704, after the query function is triggered, the filter item is sent to the backend through the specified URL, and the backend is requested to obtain the MYSQL storage table record according to the filter item as the filter condition (that is, when the second target request is received, the second target query request information in the request, and then obtain target analysis result data from the database according to the query request information).

Step S705, the format of each record is a dictionary format of "field name: field value", and the obtained multiple records form a list type (that is, generate a target parsing result file) and return to the front end.

Step S706, the front-end uses the echart component to draw the analysis chart of the report (that is, generate the target chart according to the target analysis result file), no matter at the index level or at the table level, the data returned to the front-end contains multiple scene data, and the data is processed to The field name is used as the abscissa, the field value is used as the ordinate, and multiple columns or polylines are drawn according to the scene type for comparative analysis, and the multi-scene data returned to the front end through the back end is used for early warning display (refer to step S702 for details).

Fig. 9 is an implementation flowchart of an optional one-click export of PM reports according to an embodiment of the present invention. As shown in Fig. 9, the implementation process for function 4 (one-click export of reports) specifically includes the following steps:

Step S801, the front-end uses the el-form component to make filter items, and the content of the filter items includes "PM report generation date, DB2 product version". In parsing the PM report, the ACCOUNTING and STAT reports are parsed at the same time, under the same date and under the DB2 product version , will generate analysis charts for ACCOUNTING and STAT.

Step 802, before the one-click export, the user fills in the screening items on the front-end Web page to trigger the one-click export function.

Step S803, after triggering, the filter item is sent to the backend through the specified URL, and the backend uses the filter item as a filter condition to request the backend database to obtain all data (including index level and table level) that meet the conditions.

In step S804, the format of each record is a dictionary format of "field name: field value", and the obtained multiple records form a list type and return to the front end.

Step S805, the front end creates a WORD empty file in the static file, uses echart, docxtemplater and file-saver components to draw the data into a multi-scenario comparative chart form and early warning display (refer to step S702 for details), and archives it as a file and returns it to the user .

It should be noted that, in this embodiment, an automatic performance analysis method based on the mainframe DB2 product PM report is provided. Through the interaction between the back end and the front end, it is convenient for the user to provide various types of PM reports from the perspective of the front-end WEB page. Processing function; through one-click trigger command, PM report analysis, result query and archiving functions are realized, which effectively improves the analysis and processing efficiency of DB2 product performance data, saves time and labor costs, and reduces the burden on users during the data analysis process. Experience and skill level required. Moreover, in this embodiment, the agile deployment function of secondary development can be realized. For example, when the indicators change, the development requirements can be added through the webpage, and the PM report analysis method can be added and launched to better satisfy users. usage requirements.

It can be seen that, through the technical solution of the present invention, the purpose of reducing the labor cost and time cost of report analysis and processing is achieved, thereby realizing the technical effect of improving the processing efficiency of report analysis and processing, and then solving the problem of manual collection in the prior art. And analysis of report data, there is a technical problem of low processing efficiency.

Example 2

According to an embodiment of the present invention, an embodiment of a report processing device is provided, wherein FIG. 10 is a schematic diagram of an optional report processing device according to an embodiment of the present invention. As shown in FIG. 10 , the device includes: Module 1001 is used to obtain the report file to be analyzed, wherein the report file to be analyzed includes a plurality of reports to be analyzed, and the plurality of reports to be analyzed includes performance data of the target device; the determination module 1002 is used to select from multiple reports according to the first analysis condition. Determine at least one target report to be analyzed in the report to be analyzed, wherein the first parsing condition includes at least one of the following: report generation date, report type, report version; processing module 1003, used to determine at least one target report to be analyzed corresponding to Target parsing rules, and according to the target parsing rules, at least one target report to be analyzed is parsed to obtain a parsing result, wherein the parsing result represents the performance of the target device.

It should be noted that the acquisition module 1001, the determination module 1002 and the processing module 1003 correspond to steps S101 to S103 in the above embodiment, and the examples and application scenarios implemented by the three modules are the same as those of the corresponding steps, but are not limited to the above The content disclosed in embodiment 1.

Optionally, the acquisition module includes: a first acquisition module, configured to acquire a plurality of initial reports associated with the target device; a first processing module, configured to add A plurality of reports to be analyzed are obtained corresponding to the scene identifier; the second processing module is used to generate a report file to be analyzed according to the plurality of reports to be analyzed.

Optionally, the report type includes at least one of the following: the first type and the second type, the performance data corresponding to the first type and the second type are different, and the processing module includes: a second obtaining module, configured to obtain the report version corresponding to A rule data table for parsing rules; a third processing module, configured to query the target data corresponding to the report type from the rule data table, and splicing the target data to obtain target parsing rules, wherein the target data includes at least one of the following : The name of the performance data, the data type of the performance data, the parsing rule data, and the parsing rule data represent the parsing method of the performance data.

Optionally, the processing module further includes: a first determining module, configured to determine the target performance data from the performance data of at least one target report to be analyzed according to the name of the performance data and the data type of the performance data; the fourth processing module uses The target performance data is analyzed and processed according to the analysis rule data, and the analysis result is obtained.

Optionally, the report processing device further includes: a fifth processing module, configured to convert the format of the report file to be analyzed, obtain the converted report file to be analyzed, and store the converted report file to be analyzed in the first directory.

Optionally, the report processing device further includes: a third obtaining module, configured to obtain the editing request information in the first target request when the first target request is received, wherein the first target request is one of the following: Adding an editing request and modifying an editing request, where the editing request information represents editing information on the parsing rules; the sixth processing module is configured to generate the first parsing rules according to the editing request information.

Optionally, the editing request information includes at least one of the following: the first report type, the first report version, the name of the first performance data, the data type of the first performance data, and the first parsing rule data, and the sixth processing module includes: The seventh processing module is used to generate the first target data table according to the first report type and the first report version if the first target request is a new editing request; the fourth acquisition module is used to generate the first target data table according to the first performance data name and the data type of the first performance data, obtain the first target data from the database, and store the first target data in the first target data table; the eighth processing module is used to add the first target data in the first target data table Analyzing rule data, generating a first parsing rule.

Optionally, the sixth processing module further includes: a ninth processing module, configured to generate a second target data table according to the first report type and the first report version if the first target request is a modification editing request; A module, configured to obtain the first target data from the database according to the name of the first performance data and the data type of the first performance data, and store the first target data in the second target data table; the tenth processing module is used to In the second target data table, the parsing rules corresponding to the first target data are updated according to the first parsing rule data to generate the first parsing rules.

Optionally, the report processing device further includes: a sixth obtaining module, configured to obtain query request information in the second target request when receiving the second target request, wherein the query request information includes at least one of the following: Target report generation date, target report type, target report version, and name of target performance data; the seventh acquisition module is used to obtain the target analysis result data from the database according to the query request information, and generate the target analysis result file; the eleventh processing The module is configured to generate a target chart according to the target analysis result file, wherein the target chart is used to display the target analysis result data to the target object.

Example 3

According to another aspect of the embodiments of the present invention, a computer-readable storage medium is also provided, and a computer program is stored in the computer-readable storage medium, wherein the computer program is configured to execute the above report processing method when running.

Example 4

According to another aspect of the embodiments of the present invention, an electronic device is also provided, wherein, FIG. 11 is a schematic diagram of an optional electronic device according to an embodiment of the present invention. As shown in FIG. 11 , the electronic device includes one or A plurality of processors; memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to be implemented for running the programs, wherein the programs are set Execute the above report processing method for runtime. When the processor executes the program, the following steps are implemented: obtain the report file to be analyzed, wherein the report file to be analyzed includes a plurality of reports to be analyzed, and the plurality of reports to be analyzed include performance data of the target device; Determine at least one target report to be analyzed in the analysis report, wherein the first analysis condition includes at least one of the following: report generation date, report type, report version; determine at least one target analysis rule corresponding to the target report to be analyzed, and analyze according to the target The rule is to analyze and process at least one target report to be analyzed to obtain an analysis result, wherein the analysis result represents the performance of the target device.

Optionally, when the processor executes the program, the following steps are also implemented: obtaining multiple initial reports associated with the target device; according to the scene information corresponding to the multiple initial reports, adding corresponding scene identifiers to the names of the multiple initial reports to obtain multiple A report to be analyzed; generate a report file to be analyzed according to multiple reports to be analyzed.

Optionally, the report type includes at least one of the following: the first type and the second type, the performance data corresponding to the first type and the second type are different, and the processor also implements the following steps when executing the program: obtaining the parsing data corresponding to the report version The rule data table of the rule; the target data corresponding to the report type is queried from the rule data table, and the target data is spliced to obtain the target parsing rule, wherein the target data includes at least one of the following: the name of the performance data, the performance data The data type, parsing rule data, and parsing rule data represent the parsing method for performance data.

Optionally, when the processor executes the program, the following steps are also implemented: according to the name of the performance data and the data type of the performance data, determining the target performance data from the performance data of at least one target report to be analyzed; The data is analyzed and processed to obtain the analysis result.

Optionally, the processor also implements the following steps when executing the program: after obtaining the report file to be analyzed, performing format conversion processing on the report file to be analyzed, obtaining the converted report file to be analyzed, and storing the converted report file to be analyzed to the first directory.

Optionally, when the processor executes the program, the following steps are further implemented: before at least one target report to be analyzed is determined from a plurality of reports to be analyzed according to the first parsing condition, when the first target request is received, obtain the second Editing request information in a target request, wherein the first target request is one of the following: adding an editing request, modifying an editing request, and the editing request information represents the editing information for the parsing rule; according to the editing request information, the first parsing rule is generated .

Optionally, the editing request information includes at least one of the following: the first report type, the first report version, the name of the first performance data, the data type of the first performance data, and the first parsing rule data. The following steps are implemented: if the first target request is a new editing request, then according to the first report type and the first report version, generate the first target data table; according to the name of the first performance data and the data type of the first performance data, The first target data is obtained from the database and stored in the first target data table; the first parsing rule data is added in the first target data table to generate the first parsing rule.

Optionally, when the processor executes the program, the following steps are also implemented: if the first target request is a modification and editing request, then generate a second target data table according to the first report type and the first report version; and the data type of the first performance data, obtain the first target data from the database, and store the first target data in the second target data table; in the second target data table, update the first target according to the first parsing rule data A parsing rule corresponding to the data is generated to generate a first parsing rule.

Optionally, the processor also implements the following steps when executing the program: before determining at least one target analysis rule corresponding to the target report to be analyzed, and according to the target analysis rule, at least one target report to be analyzed is analyzed and processed, and before the analysis result is obtained, In the case of receiving the second target request, acquire the query request information in the second target request, where the query request information includes at least one of the following: target report generation date, target report type, target report version, target performance data Name; according to the query request information, the target analysis result data is obtained from the database, and a target analysis result file is generated; according to the target analysis result file, a target chart is generated, wherein the target chart is used to display the target analysis result data to the target object.

The devices in this article can be servers, PCs, PADs, mobile phones, etc.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments.

In the above-mentioned embodiments of the present invention, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content can be realized in other ways. Wherein, the device embodiments described above are only illustrative. For example, the division of the units may be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of units or modules may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes. .

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (12)

1. A report processing method, comprising:

acquiring a report file to be analyzed, wherein the report file to be analyzed comprises a plurality of reports to be analyzed, and the reports to be analyzed comprise performance data of target equipment;

determining at least one target report to be analyzed from the multiple reports to be analyzed according to a first analysis condition, wherein the first analysis condition comprises at least one of the following: report generation date, report type and report version;

determining a target analysis rule corresponding to the at least one target report to be analyzed, and analyzing the at least one target report to be analyzed according to the target analysis rule to obtain an analysis result, wherein the analysis result represents the performance condition of the target equipment.

2. The method of claim 1, wherein obtaining the report file to be analyzed comprises:

Acquiring a plurality of initial reports associated with the target equipment;

adding corresponding scene identifiers to names of the plurality of initial reports according to scene information corresponding to the plurality of initial reports to obtain a plurality of reports to be analyzed;

and generating the report file to be analyzed according to the multiple reports to be analyzed.

3. The method of claim 1, wherein the report type comprises at least one of: the first type and the second type are different in performance data corresponding to the first type and the second type, wherein determining the target analysis rule corresponding to the at least one target report to be analyzed comprises the following steps:

acquiring a rule data table of an analysis rule corresponding to the report version;

inquiring target data corresponding to the report type from the rule data table, and performing splicing processing on the target data to obtain the target analysis rule, wherein the target data comprises at least one of the following: the method comprises the steps of name of performance data, data type of the performance data and analysis rule data, wherein the analysis rule data represents analysis modes of the performance data.

4. The method of claim 3, wherein parsing the at least one target report to be analyzed according to the target parsing rule to obtain a parsing result comprises:

Determining target performance data from the performance data of the at least one target report to be analyzed according to the name of the performance data and the data type of the performance data;

and according to the analysis rule data, analyzing the target performance data to obtain the analysis result.

5. The method of claim 1, wherein after obtaining the report file to be analyzed, the method further comprises:

and carrying out format conversion processing on the report file to be analyzed to obtain a converted report file to be analyzed, and storing the converted report file to be analyzed into a first catalog.

6. The method of claim 1, wherein prior to determining at least one target report to be analyzed from the plurality of reports to be analyzed according to a first parsing condition, the method further comprises:

acquiring editing request information in a first target request under the condition that the first target request is received, wherein the first target request is one of the following: adding an editing request and modifying the editing request, wherein the editing request information represents editing information of an analysis rule;

and generating a first analysis rule according to the editing request information.

7. The method of claim 6, wherein the edit request information includes at least one of: the first report type, the first report version, the name of the first performance data, the data type of the first performance data and the first analysis rule data, wherein the generating the first analysis rule according to the editing request information comprises the following steps:

if the first target request is the newly added editing request, a first target data table is generated according to the first report type and the first report version;

according to the name of the first performance data and the data type of the first performance data, first target data are obtained from a database, and the first target data are stored in the first target data table;

and newly adding the first analysis rule data in the first target data table to generate the first analysis rule.

8. The method of claim 7, wherein generating a first parsing rule based on the edit request information comprises:

if the first target request is the modification editing request, generating a second target data table according to the first report type and the first report version;

Acquiring the first target data from the database according to the name of the first performance data and the data type of the first performance data, and storing the first target data in the second target data table;

and in the second target data table, updating the analysis rule corresponding to the first target data according to the first analysis rule data, and generating the first analysis rule.

9. The method according to claim 1, wherein before determining a target parsing rule corresponding to the at least one target report to be parsed, and parsing the at least one target report to be parsed according to the target parsing rule, the method further comprises:

obtaining query request information in a second target request under the condition that the second target request is received, wherein the query request information comprises at least one of the following: the target report generation date, the target report type, the target report version and the name of the target performance data;

acquiring target analysis result data from a database according to the query request information, and generating a target analysis result file;

And generating a target chart according to the target analysis result file, wherein the target chart is used for displaying the target analysis result data to a target object.

10. A report processing apparatus, comprising:

the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring a report file to be analyzed, the report file to be analyzed comprises a plurality of reports to be analyzed, and the reports to be analyzed comprise performance data of target equipment;

the determining module is used for determining at least one target report to be analyzed from the multiple reports to be analyzed according to a first analysis condition, wherein the first analysis condition comprises at least one of the following: report generation date, report type and report version;

the processing module is used for determining a target analysis rule corresponding to the at least one target report to be analyzed, and analyzing the at least one target report to be analyzed according to the target analysis rule to obtain an analysis result, wherein the analysis result represents the performance condition of the target equipment.

11. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program, wherein the computer program is arranged to execute the report processing method of any of the claims 1 to 9 at run-time.

12. An electronic device, the electronic device comprising one or more processors; a memory for storing one or more programs that, when executed by the one or more processors, cause the one or more processors to implement a method for running a program, wherein the program is configured to perform the report processing method of any of claims 1 to 9 when run.

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