CN114372189A - Processing method and device of user-defined report, storage medium and electronic equipment - Google Patents

Abstract

When a business query request is received, querying preset dimension index data configured in advance in a database to obtain business dimension index data corresponding to the business query request in the database, splicing the business dimension index data through preset splicing logic to obtain a custom report corresponding to the business query request, and displaying the custom report in a preset display mode. Based on the above, the dimension index data related to the personalized report is configured in the database in advance, the dimension index data in the database is queried through the service query request, and the self-defined report corresponding to the service query request, namely the personalized report, is obtained without developing the logic code of the personalized report again, so that the efficiency of obtaining the personalized report is improved.

Description

A method, device, storage medium and electronic device for processing a custom report

technical field

The present application relates to the technical field of report processing, and more particularly, to a method, device, storage medium and electronic device for processing a custom report.

Background technique

With the application of global wide area network (World Wide Web, web) management applications in the financial industry, especially in the customer relationship management (Customer Relationship Management, CRM) system is fully utilized, for futures companies, because the futures companies' business Different, some customized reports are needed to count the data corresponding to the futures company's business.

At present, when developing these personalized reports, the development work needs to be repeated each time. For some personalized reports with fixed logic, the number of report fields used by each futures company is different or the order of fields is different. Therefore, when developing a personalized report, it is necessary to re-develop the logic code of the personalized report, thereby reducing the efficiency of obtaining the personalized report.

SUMMARY OF THE INVENTION

In view of this, the present application discloses a method, device, storage medium and electronic device for processing a custom report, aiming to improve the efficiency of obtaining a personalized report.

In order to achieve the above purpose, the disclosed technical scheme is as follows:

A first aspect of the present application discloses a method for processing a custom report, the method comprising:

When a service query request is received, the pre-configured preset dimension index data in the database is queried to obtain business dimension index data corresponding to the business query request; the business dimension index data is used to represent the business query request The preset dimension index data corresponding to the dimension index query data in ;

The business dimension indicator data is spliced by preset splicing logic to obtain and display a custom report corresponding to the business query request.

Preferably, when a business query request is received, the preset dimension index data preconfigured in the database is queried to obtain business dimension index data corresponding to the business query request, including:

When receiving a business query request, obtain the dimension index query data in the business query request;

Matching the dimension index query data with preset dimension index data preconfigured in the database;

When the dimension index query data is consistent with the preset dimension index data, the business dimension index data corresponding to the business query request is obtained.

Preferably, the business dimension indicator data is spliced by preset splicing logic to obtain and display a custom report corresponding to the business query request, including:

Determine the input parameters corresponding to the business dimension indicator data and the output parameters corresponding to the business dimension indicator data;

The input parameters and the output parameters are spliced through the dynamic structured query language sql to obtain a splicing result; the splicing result is used to characterize the correspondence between the input parameters and the output parameters;

The splicing result is stored in the database;

Based on the splicing results in the database, a custom report corresponding to the business query request is determined and displayed.

Preferably, the process of configuring the preset dimension indicator data includes:

Obtain the business needs of each futures company;

Extract preset business indicators from the business requirements of the respective futures companies; the preset business indicators are business indicators with the same business type under different dimensions;

The preset business index is configured in a database to obtain preset dimension index data.

Preferably, it also includes:

A custom modification operation is performed on the preset dimension indicator data.

Preferably, it also includes:

A front-end function corresponding to the custom report is generated.

A second aspect of the present application discloses a device for processing a custom report, the device comprising:

a determining unit, configured to query the preset dimension index data preconfigured in the database when receiving a business query request, to obtain business dimension index data corresponding to the business query request; the business dimension index data is used to represent and preset dimension index data corresponding to the dimension index query data in the business query request;

The splicing unit is used for splicing the business dimension indicator data through a preset splicing logic to obtain and display a custom report corresponding to the business query request.

Preferably, the determining unit includes:

a first obtaining module, configured to obtain dimension index query data in the service query request when receiving a service query request;

a matching module for matching the dimension index query data with preset dimension index data preconfigured in the database;

The second obtaining module is configured to obtain business dimension index data corresponding to the business query request when the dimension index query data is consistent with the preset dimension index data.

A third aspect of the present application discloses a storage medium, where the storage medium includes stored instructions, wherein when the instructions are executed, a device on which the storage medium is located is controlled to perform the customization described in any one of the first aspect The processing method of the report.

A fourth aspect of the present application discloses an electronic device comprising a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by one or more processors as in the first aspect The processing method of any one of the custom reports.

It can be known from the above technical solutions that the present application discloses a processing method, device, storage medium and electronic device for a custom report. When a service query request is received, the pre-configured preset dimension index data in the database is queried, and the result is obtained. The business dimension index data corresponding to the business query request, the business dimension index data is used to represent the preset dimension index data corresponding to the dimension index query data in the business query request, and the business dimension index data is spliced through the preset splicing logic to obtain the business Query and display the corresponding custom report. Through the above solution, the dimension index data related to the personalized report is pre-configured in the database, and the dimension index data in the database is queried through the business query request to obtain the customized report corresponding to the business query request, that is, the personalized report. Develop the logic code of the personalized report, so as to improve the efficiency of obtaining the personalized report.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only It is an embodiment of the present application. For those of ordinary skill in the art, other drawings can also be obtained according to the provided drawings without any creative effort.

1 is a schematic structural diagram of a system for processing a custom report disclosed in an embodiment of the present application;

2 is a schematic flowchart of a method for processing a custom report disclosed in an embodiment of the present application;

3 is a schematic diagram of a display interface of a custom report disclosed in an embodiment of the present application;

4 is a schematic diagram of a display interface of another custom report disclosed in an embodiment of the present application;

FIG. 5 is an example diagram of an initially added module disclosed by an embodiment of the present application;

6 is a schematic structural diagram of a device for processing a custom report disclosed in an embodiment of the present application;

FIG. 7 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work, all belong to the scope of protection of this application.

In this application, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device comprising a list of elements includes not only those elements, but also no Other elements expressly listed, or those inherent to such a process, method, article or apparatus are also included. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

It can be known from the background art that when developing these personalized reports, the development work needs to be repeated each time. The order of fields is different, so when developing a personalized report, the logic code of the personalized report needs to be redeveloped, which reduces the efficiency of obtaining the personalized report.

In order to solve the above problems, the present application discloses a processing method, device, storage medium and electronic equipment for a custom report, which pre-configures the dimensional index data related to the personalized report in the database, and queries the data in the database through a business query request. Dimension index data, get the custom report corresponding to the business query request, that is, the personalized report, and there is no need to re-develop the logic code of the personalized report, thereby improving the efficiency of obtaining the personalized report. The specific implementation is described by the following embodiments.

The following first introduces an architecture diagram of a custom report processing system to which a custom report processing method and device of the present application are applicable. Specifically, as shown in FIG. 1 , the custom report processing system includes a client 11 and a server. 12 and database 13. Among them, the client 11 includes a custom report module function, and the server 12 includes a dimension index maintenance and logic development function and a report front-end function.

The maintenance and logic development functions of dimension indicators are the core of the front-end function of automatically generating custom reports, because all fields and indicators of the automatically generated reports are the business data of each futures company that has been abstracted in advance.

Logic development and data implementation are carried out according to the indicator logic of each dimension indicator. For example, the indicator of the customer day dimension generally includes the transaction data of the customer dimension, such as the end-of-period equity, daily profit and loss, withdrawal amount, deposit amount and other indicators, which should be written in advance. The corresponding indicator data generation logic is well established, and then the corresponding logic is executed through daily tasks to generate the landing data of the dimension indicators. And dimension indicators support expansion and modification. This part of the logic is executed on the server.

The custom report module function is a function of displaying and customizing selection and modification in the foreground according to the dimension indicators generated in the background. The report display is divided into search criteria and display fields, so in the custom module, you can add criteria indicators and display indicators. The implementation of this part is performed on the client 11.

The front-end function of the report is a module generated according to the function of the custom report module, and then the front-end function of the report is generated by the module generation function that comes with the framework. This part of the function of generating the front-end report is executed on the client, and the part of the background logic of generating the custom report is executed on the server 12.

The specific data interaction process between the client 11, the server 12 and the database 13 is as follows:

When the server 12 receives the business query request sent by the client 11, the server 12 queries the preset dimension index data preconfigured in the database to obtain business dimension index data corresponding to the business query request in the database 13; the business dimension The indicator data is used to represent preset dimension indicator data corresponding to the dimension indicator query data in the business query request.

The process of configuring the preset dimension index data in the database by the server 12 is as follows:

The server 12 obtains each business requirement; the business requirement is the requirement corresponding to the business type of each company.

The server 12 extracts preset business indicators from the business requirements; the preset business indicators are business indicators with the same business type in different dimensions.

The server 12 configures the preset business indicators in the database to obtain preset dimension index data.

The server 12 performs a custom modification operation on the preset dimension index data.

Specifically, the process of obtaining the business dimension index data corresponding to the business query request in the database 13 is as follows:

When the server 12 receives the service query request sent by the client 11, the server 12 obtains the dimension index query data in the service query request.

The server 12 matches the dimension index query data with the preset dimension index data preconfigured in the database.

When the dimension index query data is consistent with the preset dimension index data, the server 12 obtains the business dimension index data corresponding to the business query request.

The server 12 splices the service dimension indicator data through preset splicing logic to obtain a custom report corresponding to the service query request.

The specific server 12 splices the business dimension indicator data through the preset splicing logic, and the process of obtaining the custom report corresponding to the business query request is as follows:

The server 12 determines input parameters corresponding to the business dimension index data and output parameters corresponding to the business dimension index data.

The server 12 splices the input parameters and the output parameters through the dynamic structured query language sql, obtains the splicing result, and stores the splicing result in the database.

The server 12 determines a custom report corresponding to the service query request based on the splicing result in the database.

The client 11 displays the custom report in a preset display manner.

In the embodiment of the present application, the dimension index data related to the personalized report is pre-configured in the database, and the dimension index data in the database is queried through the business query request to obtain the custom report corresponding to the business query request, that is, the personalized report, And there is no need to re-develop the logic code of the personalized report, thereby improving the efficiency of obtaining the personalized report.

Referring to Figure 2, it is a schematic flow chart of a method for processing a self-defined report disclosed in an embodiment of the application, and the processing method for this self-defined report mainly includes the following steps:

S201: When a business query request is received, query the preset dimension index data preconfigured in the database to obtain business dimension index data corresponding to the business query request; the business dimension index data is used to represent the dimension index in the business query request Queries the preset dimension indicator data corresponding to the query data.

In S201, the service query request can be obtained through the client, and can also be obtained through other data information sources. The acquisition method of the service query request is not specifically limited in this application.

The process of configuring preset dimension indicator data is shown in A1-A3.

A1: Obtain each business requirement; the business requirement is the requirement corresponding to the business type of each company.

Among them, first of all, it is necessary to collect the business requirements of each futures company, extract the common business fields, and maintain the indicators and indicator logic required by each dimension in the Oracle database. If the specific business requirements are distinguished according to different statistical dimensions , it includes customer dimension, business department dimension, variety exchange dimension, customer variety dimension, capital account dimension, etc.

A2: Extract preset business indicators from business requirements; preset business indicators are business indicators with the same business type in different dimensions.

The preset business indicators are the common business fields, which refer to the same business logic of different futures companies, such as the same business fields such as the customer's end-of-period equity, transaction amount, transaction quantity, and position quantity. Those with the same business logic can be abstracted as common business field.

For example, from the business requirements of futures company A, futures company B, and futures company C, extract the transaction value requirements of futures company A, the transaction value requirements of futures company B, and the transaction value requirements of futures company C. The transaction value requirements are It is a preset business indicator (common business field).

A3: Configure the preset business indicators in the database to obtain preset dimension index data.

Among them, a custom modification operation is performed on the preset dimension indicator data.

Specifically, when a business query request is received, based on the preset dimension index data preconfigured in the database, the process of determining the business dimension index data corresponding to the business query request is as follows:

First, when a business query request is received, the dimension index query data in the business query request is obtained.

Among them, the business query request is parsed, and the dimension index query data in the business query request is obtained.

The dimension index query data is used to query the corresponding preset dimension index data in the database.

Then, the dimension index query data is matched with the preset dimension index data preconfigured in the database, and when the dimension index query data is consistent with the preset dimension index data, the business dimension index data corresponding to the business query request is obtained.

S202: splicing the business dimension indicator data through preset splicing logic to obtain a custom report corresponding to the business query request.

In S202, generating a custom report consists of input parameters (input parameters), output parameters (output parameters) and data sources.

Among them, the output parameter is the report display field.

The specific input parameters, output parameters and data source codes are as follows:

(1) Input parameters:

title: "Query Condition Settings",

items:[{

fieldLabel: "Business Month",

itemId: "I_BUSI_MONTH",

owner: "CF_STAT.T_M_CLIENT",

value:"{#sys.nowCurrentMonth#}"

}, {

fieldLabel: "currency",

itemId: "I_MONEY_TYPE",

keyName: "money_type_1101",

owner:"CF_STAT.T_M_CLIENT"

},{

fieldLabel: "Customer ID",

itemId: "I_CLIENT_ID",

owner:"CF_STAT.T_M_CLIENT"

},{

fieldLabel: "Department Code",

itemId: "I_BRANCH_ID",

owner:"CF_STAT.T_M_CLIENT"

}],

(2) Outgoing parameters:

(3) Data source:

bindModule:

"m?xwl=Index_management/index_report/D_IDX_admin14990/select",

iconCls: "seek_icon",

itemId: "seekBtn",

text: "query".

To generate a custom report under this path, you need to call the database logic to realize the call of the data source.

The specific database logic is as follows:

First, determine the input parameters corresponding to the business dimension index data and the output parameters corresponding to the business dimension index data.

Then, the input parameters and output parameters are spliced by the dynamic structured query language sql, and the splicing result is obtained, and the splicing result is stored in the database.

Among them, the business logic is spliced through the pre-set dimension business indicator logic, and the output parameters are spliced through dynamic sql.

The logic is as follows: through the pre-maintained dimension indicators in the background, the business logic is spliced out through rows and columns. The source code is as follows:

The abstracted dimension business logic can be reused to improve report development efficiency and data utilization. The specific data of the dimension business logic is maintained in the index table, which stores the index name, index field name, index calculation process, and index of the dimension business logic. Status, calculation formula, etc.

The entire dynamic SQL is used as the database stored procedure of the custom report, that is, the database stored procedure that generates the background.

The logic of the specific stored procedure is as follows:

1) Splicing the background sql, using the loop operation, logically splicing the selected input parameter fields.

2) Logically splicing the selected output parameter fields.

3) Splicing the stored procedure query logic.

4) Generate a stored procedure for custom reports.

The specific logic is as follows, which is simplified according to the logic in the background as follows:

Finally, based on the splicing results in the database, the custom report corresponding to the business query request is determined and displayed.

Generate front-end functions corresponding to custom reports. The generated front-end function is a customized report, which can be used by business personnel to query.

S203: Display the custom report through a preset display method.

The preset display methods are divided into search conditions and display fields, so you can customize the module to add condition indicators and display indicators.

What are the different fields required by the business requirements? Configure and maintain these different fields in the database. Different dimension indicators are scattered in different statistical dimensions. Select the display fields to generate reports under different dimensions (such as position selling amount).

In order to facilitate the understanding of displaying the custom report in a preset display manner, an example is described here with reference to FIG. 3 and FIG. 4 .

In Figure 3, the preset dimension indicator data includes daily exchange table, product, underlying contract, monthly customer table, monthly sales department table, monthly customer category table, monthly exchange table, monthly variety table, daily Dimensional customer table, customer information table, branch, daily-dimension sales department table, daily-dimension variety table, daily-dimension customer variety table, and low-dimensional customer category table, etc. The data of the preset dimension indicators can be customized and modified.

For example, in Figure 3, add a pre-set dimension, such as the daily dimension customer table, and select business date, sales department, customer number, and currency as search criteria (dimension index query data).

In Figure 4, select business date, sales department, customer number, currency, royalty income, and royalty payment as report display fields (output parameters).

The default state of the initially added module is the initial state. Referring to Figure 5, Figure 5 shows an example diagram of the initially added module.

Figure 5 includes functions such as adding, generating function points, modifying presentation and conditional disease, modifying function records, deleting, function number, function name, data source script, status, update date, updater and function path.

In Figure 5, the generated module has 2 states, the initial state and the generation function point. Only the initial state can generate the report. "Generate function point" means that the report has already been generated and cannot be generated again. Select the new custom module and call The module of the automatic generation function of the framework generates the front-end report function point, and puts the generated report function in the specified directory.

According to the account permissions of the logged-in user, the generated functions can only be queried and used by the current account.

In the embodiment of the present application, the dimension index data related to the personalized report is pre-configured in the database, and the dimension index data in the database is queried through the business query request, so as to obtain the custom report corresponding to the business query request, that is, the personalized report, And there is no need to re-develop the logic code of the personalized report, thereby improving the efficiency of obtaining the personalized report.

Based on the method for processing a custom report disclosed in FIG. 2 of the above embodiment, the embodiment of the present application also discloses a corresponding device for processing a custom report. As shown in FIG. 6 , the device for processing a custom report includes a determination unit. 601 , splicing unit 602 and display unit 603 .

The determining unit 601 is configured to query the preset dimension index data preconfigured in the database when a business query request is received, and obtain business dimension index data corresponding to the business query request; the business dimension index data is used to characterize the business query request. The preset dimension index data corresponding to the dimension index query data in .

The splicing unit 602 is used for splicing the service dimension index data through preset splicing logic to obtain a custom report corresponding to the service query request.

The display unit 603 is configured to display the custom report in a preset display manner.

Further, the determining unit 601 includes a first obtaining module, a matching module and a second obtaining module.

The first obtaining module is configured to obtain the dimension index query data in the service query request when the service query request is received.

The matching module is used to match the dimension index query data with the preset dimension index data pre-configured in the database.

The second obtaining module is configured to obtain the business dimension index data corresponding to the business query request when the dimension index query data is consistent with the preset dimension index data.

Further, the splicing unit 602 includes a first determination module, a storage module and a second determination module.

The first determination module is used for determining input parameters corresponding to the business dimension indicator data and output parameters corresponding to the business dimension indicator data.

The splicing module is used to splicing the input parameters and output parameters through the dynamic structured query language sql to obtain the splicing result, and store the splicing result in the database.

The second determination module is used to determine and display the custom report corresponding to the business query request based on the splicing result in the database.

Further, the determining unit 601 of the process of configuring the preset dimension index data includes an acquisition module, an extraction module and a configuration module.

The acquisition module is used to acquire the business requirements of each futures company.

The extraction module is used to extract preset business indicators from the business requirements of each futures company; the preset business indicators are business indicators with the same business type in different dimensions.

The configuration module is used to configure the preset business indicators in the database to obtain preset dimension indicator data.

Further, the processing device for the custom report also includes an operation unit.

The operation unit is used to perform custom modification operations on the preset dimension indicator data.

Further, the device for processing a custom report also includes a generating unit.

Generate front-end functions corresponding to custom reports.

In the embodiment of the present application, the dimension index data related to the personalized report is pre-configured in the database, and the dimension index data in the database is queried through the business query request, so as to obtain the custom report corresponding to the business query request, that is, the personalized report, And there is no need to re-develop the logic code of the personalized report, thereby improving the efficiency of obtaining the personalized report.

An embodiment of the present application further provides a storage medium, where the storage medium includes stored instructions, wherein when the instructions are executed, the device where the storage medium is located is controlled to execute the above-mentioned processing method of the custom report.

An embodiment of the present application also provides an electronic device, the schematic structural diagram of which is shown in FIG. 7 , and specifically includes a memory 701 and one or more instructions 702 , wherein one or more instructions 702 are stored in the memory 701 and are processed through the memory 701 . It is configured to execute one or more instructions 702 by one or more processors 703 to perform the above-mentioned processing method of the custom report.

For the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, Certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. For the same and similar parts among the various embodiments, refer to each other Can. For the system-type embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant part can be referred to the partial description of the method embodiment.

The steps in the methods of the embodiments of the present application can be adjusted, combined and deleted in sequence according to actual needs.

Finally, it should also be noted that in this document, relational terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply these entities or that there is any such actual relationship or sequence between operations.

The above description of the disclosed embodiments enables any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, this application is not intended to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The above are only the preferred embodiments of the present application. It should be pointed out that for those skilled in the art, without departing from the principles of the present application, several improvements and modifications can also be made. It should be regarded as the protection scope of this application.

Claims (10)

1. A processing method of a self-defined report is characterized by comprising the following steps:

when a service query request is received, querying preset dimension index data configured in advance in a database to obtain service dimension index data corresponding to the service query request; the service dimension index data is used for representing preset dimension index data corresponding to the dimension index query data in the service query request;

splicing the service dimension index data through preset splicing logic to obtain a self-defined report corresponding to the service query request;

and displaying the self-defined report form in a preset display mode.

2. The method according to claim 1, wherein when receiving a service query request, querying preset dimension index data configured in advance in a database to obtain service dimension index data corresponding to the service query request, comprises:

when a service query request is received, acquiring dimension index query data in the service query request;

matching the dimension index query data with preset dimension index data configured in advance in a database;

and when the dimension index query data is consistent with the preset dimension index data, obtaining service dimension index data corresponding to the service query request.

3. The method according to claim 1, wherein the splicing the service dimension index data through a preset splicing logic to obtain a custom report corresponding to the service query request comprises:

determining an input parameter corresponding to the business dimension index data and an output parameter corresponding to the business dimension index data;

splicing the input parameters and the output parameters through a dynamic structured query language sql to obtain a splicing result, and storing the splicing result in a database;

and determining a self-defined report corresponding to the service query request based on the splicing result in the database.

4. The method of claim 1, wherein the step of configuring the preset dimension index data in the database comprises:

acquiring each service requirement; the business requirements are requirements corresponding to business types of all companies;

extracting preset service indexes from the service requirements; the preset service index is a service index with the same service type under different dimensionalities;

and configuring the preset service index in a database to obtain preset dimension index data.

5. The method of claim 1, further comprising:

and carrying out self-defining modification operation on the preset dimension index data.

6. The method of claim 1, further comprising:

and generating a front-end function corresponding to the self-defined report.

7. An apparatus for processing a custom report, the apparatus comprising:

the service query device comprises a determining unit, a searching unit and a processing unit, wherein the determining unit is used for querying preset dimension index data configured in advance in a database when a service query request is received to obtain service dimension index data corresponding to the service query request; the service dimension index data is used for representing preset dimension index data corresponding to the dimension index query data in the service query request;

the splicing unit is used for splicing the service dimension index data through preset splicing logic to obtain a self-defined report corresponding to the service query request;

and the display unit is used for displaying the self-defined report form in a preset display mode.

8. The apparatus of claim 7, wherein the determining unit comprises:

the service query system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring dimension index query data in a service query request when the service query request is received;

the matching module is used for matching the dimension index query data with preset dimension index data which is configured in advance in a database;

and the second acquisition module is used for acquiring service dimension index data corresponding to the service query request when the dimension index query data is consistent with the preset dimension index data.

9. A storage medium, characterized in that the storage medium includes stored instructions, wherein when the instructions are executed, the apparatus on which the storage medium is located is controlled to execute the processing method of the custom report according to any one of claims 1 to 6.

10. An electronic device comprising a memory and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by the one or more processors to perform the method of processing the custom report according to any one of claims 1 to 6.

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