CN114707474A - Report generation method and device, electronic equipment and computer readable storage medium - Google Patents

Abstract

The invention relates to an artificial intelligence technology, and discloses a report generation method, which comprises the following steps: acquiring configuration requirements of a user, and extracting requirement semantics of the configuration requirements; calculating a matching value between the requirement semantics and a configuration label of each preset configuration in a plurality of preset configurations, and selecting the preset configuration corresponding to the configuration label with the maximum matching value as a target configuration; acquiring a data list initial frame, and configuring the data list initial frame according to the target configuration to obtain a target frame; and performing database connection configuration on the target frame to obtain a data list. In addition, the invention also relates to a block chain technology, and the data list can be stored in the node of the block chain. The invention also provides a report generating device, electronic equipment and a storage medium. The invention can improve the efficiency of generating the report.

Description

Report generation method, device, electronic device, and computer-readable storage medium

technical field

The present invention relates to the technical field of artificial intelligence, and in particular, to a report generation method, device, electronic device and computer-readable storage medium.

Background technique

With the diversification of people's needs, the existing data list only has an initial framework and does not have multiple configurations to meet the diverse needs of customers. In order to provide users with a better consumer experience and improve the efficiency of generating data lists, it is necessary to provide The user provides a configured classic template.

Existing data reports require a lot of complicated steps such as configuring data sources step by step, setting templates, configuring headers, binding data sources and fields, and adjusting styles, which requires a lot of work and wastes time. In the fast-paced working mode, such time-consuming and labor-intensive data reports are destined to be abandoned, and more time-saving and labor-saving functions are needed to replace them. Therefore, how to improve the generation efficiency of data reports has become an urgent problem to be solved.

SUMMARY OF THE INVENTION

The present invention provides a report generation method, device and computer-readable storage medium, the main purpose of which is to solve the problem of low efficiency in report generation.

To achieve the above purpose, a method for generating a report provided by the present invention includes:

Obtain the configuration requirements of the user, and extract the requirement semantics of the configuration requirements;

calculating the matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and selecting the preset configuration corresponding to the configuration tag with the largest matching value as the target configuration;

Obtain the initial frame of the data list, and configure the initial frame of the data list according to the target configuration to obtain the target frame;

A database connection configuration is performed on the target framework to obtain a data list.

Optionally, the extracting the requirement semantics of the configuration requirement includes:

Perform word segmentation processing on the configuration requirements to obtain demand segmentation;

Counting the word segmentation frequency of each word segment in the demand word segmentation, selecting a demand word segment whose word segmentation frequency is greater than a preset frequency threshold as a keyword, and converting each word in the keyword into a word vector;

The word vectors are spliced into a vector matrix, and the vector matrix is determined to be the requirement semantics of the configuration requirement.

Optionally, splicing the word vectors into a vector matrix, including:

Count the vector length of each word vector in the word vector, and determine that the maximum value in the vector length is the target length;

Using preset parameters to extend the vector length of each of the word vectors to the target length;

Each of the extended word vectors is spliced as a row vector to obtain a vector matrix.

Optionally, the calculating a matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations includes:

Wherein, P is the matching value, a is the requirement semantics, and b _i is the configuration label of the i-th configuration in the multiple preset configurations.

Optionally, configuring the initial frame of the data list according to the target configuration includes at least one of the following configurations:

Perform field shape configuration on the initial frame of the data list according to the field shape in the target configuration;

Perform trigger event configuration on the initial frame of the data list according to the trigger event in the target configuration;

Perform a jump page configuration on the initial frame of the data list according to the jump page in the target configuration;

Query configuration is performed on the initial frame of the data list according to the query function in the target configuration.

Optionally, performing the query configuration on the initial frame of the data list according to the query function in the target configuration includes:

Obtain a query function corresponding to the query function, and determine a query parameter corresponding to the query function;

A query entry corresponding to the query function is generated in the initial frame of the data list according to the query parameter.

Optionally, the performing database connection configuration on the target framework includes:

Obtain the unique identifier of the preset database, and query the data interface parameters of the preset database according to the unique identifier;

Compile the data interface parameters into an interface connection statement;

The target framework is connected with the preset database by using the interface connection statement.

Specifically, the unique identifier includes, but is not limited to, a database number, a database address, and the like that can be used to uniquely mark the preset database.

In order to solve the above problems, the present invention also provides a report generation device, the device includes:

The requirement acquisition module acquires the configuration requirement of the user, and extracts the requirement semantics of the configuration requirement;

The matching value calculation module calculates the matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and selects the preset configuration corresponding to the configuration tag with the largest matching value as target configuration;

The frame configuration module obtains the initial frame of the data list, and configures the initial frame of the data list according to the target configuration to obtain the target frame;

The database connection module performs database connection configuration on the target framework to obtain a data list.

In order to solve the above problems, the present invention also provides an electronic device, the electronic device includes:

at least one processor; and,

a memory communicatively coupled to the at least one processor; wherein,

The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to execute the above-mentioned report generation method.

In order to solve the above problems, the present invention also provides a computer-readable storage medium, where at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is executed by a processor in an electronic device to realize the above-mentioned The report generation method described above.

In the embodiment of the present invention, by analyzing the configuration requirements of the user, a data report that better meets the user's requirements can be generated. The initial frame of the data list is pre-configured, and field forms, trigger events, page jumping and query functions are added, so that when the data list needs to be used for data storage and display, there is no need to gradually configure the development report, which reduces the workload and The development time is shortened, and the efficiency of data storage and processing analysis is improved. Therefore, the present invention provides a report generation device, electronic device and computer-readable storage medium, which can improve the efficiency of storing data in a data list, thereby solving the problem of low efficiency in report generation.

Description of drawings

1 is a schematic flowchart of a report generation method provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of extracting demand semantics according to an embodiment of the present invention;

3 is a schematic flowchart of a database connection provided by an embodiment of the present invention;

4 is a functional block diagram of a report generation device provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of an electronic device implementing the report generation method according to an embodiment of the present invention.

The realization, functional characteristics and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The embodiment of the present application provides a method for generating a report. The execution body of the report generation method includes, but is not limited to, at least one of electronic devices that can be configured to execute the method provided by the embodiments of the present application, such as a server and a terminal. In other words, the report generation method can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server can be an independent server, or can provide cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery network (Content Delivery Network) , CDN), and cloud servers for basic cloud computing services such as big data and artificial intelligence platforms.

Referring to FIG. 1 , it is a schematic flowchart of a report generation method provided by an embodiment of the present invention.

In this embodiment, the report generation method includes the following steps S1-S4:

S1, obtain the configuration requirement of the user, and extract the requirement semantics of the configuration requirement;

In this embodiment of the present invention, when the user selects a table template, he or she will have requirements on the table header, font, style, line spacing, aesthetics, database configuration, database type, etc. of the configuration requirements.

In this embodiment of the present invention, since a user's configuration requirement may contain a large amount of data, if the configuration requirement is directly processed, a large amount of computing resources will be occupied. Requirement semantics are extracted from the configuration requirement. In detail, the requirement semantics is the statement meaning intended to be expressed by the configuration requirement.

In one embodiment of the present invention, as shown in FIG. 2 , the extracting the requirement semantics of the configuration requirement includes the following steps S21-S23:

S21, performing word segmentation on the configuration requirements to obtain demand segmentation;

In detail, a pre-trained artificial intelligence model with a word segmentation function can be used to perform word segmentation processing on the configuration requirements to obtain the demand word segmentation, wherein the artificial intelligence model includes but is not limited to NLP (Natural Language Processing, natural language processing) Model, HMM (Hidden Markov Model, Hidden Markov Model). S22, count the word segmentation frequency of each word segment in the demand word segmentation, select the demand word segmentation whose word segmentation frequency is greater than a preset frequency threshold as a keyword, and convert each word in the keyword into a word vector;

Specifically, the word segmentation frequency refers to the number of times a certain word appears in the required word segmentation of the configuration requirement. When the frequency of the word segmentation is higher, the importance of the word segmentation is greater. Therefore, the word segmentation can be selected. Demand word segmentation whose frequency is greater than the preset frequency threshold is regarded as a keyword.

Further, in order to improve the processing efficiency of the keyword, a pre-trained word vector model can be used to convert the keyword into a numerical word vector, wherein the word vector model includes but is not limited to the word2vec model, the bert Model. S23, splicing the word vectors into a vector matrix, and determining that the vector matrix is the requirement semantics of the configuration requirement.

In this embodiment of the present invention, splicing the word vectors into a vector matrix includes: counting the vector lengths of each word vector in the word vectors, and determining the maximum value of the vector lengths as the target length; using a preset The parameter extends the vector length of each of the word vectors to the target length; and splices each of the extended word vectors as a row vector to obtain a vector matrix.

In detail, since the word vectors are converted from different keywords, the vector lengths of different vectors in the word vectors may be different. Extend to uniform length.

For example, the word vector contains vector A: (1, 4, 6), vector B: (2, 3), and vector C: (3, 7, 8, 9). Statistics show that the vector length of vector A is is 3, the vector length of vector B is 2, and the vector length of vector C is 4, then determine 4 as the target length, and use preset parameters (such as x) to extend the vector length of vector A to 4, and after the extension The vector A: (1,4,6,x), extend the vector length of the vector B to 4, and get the extended vector B: (2,3,x,x).

Further, each extended word vector can be used as a row vector, and spliced into the following vector matrix:

In this embodiment of the present invention, since the vector matrix is formed by splicing vectors corresponding to the keywords of the configuration requirement, the vector matrix can be used as the requirement semantics of the configuration requirement.

S2. Calculate the matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and select the preset configuration corresponding to the configuration tag with the largest matching value as the target configuration;

In this embodiment of the present invention, the preset configuration includes any configuration that can be obtained by the user. For example, a work form is established according to the preset configuration text format, query, filtering function, etc.

Specifically, when the matching value between the requirement semantics and the preset configuration tag is larger, it means that the configuration requirement corresponding to the requirement semantics is more likely to want to obtain the preset configuration corresponding to the preset configuration tag.

In this embodiment of the present invention, the calculating a matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations includes:

Wherein, P is the matching value, a is the requirement semantics, and b _i is the configuration label of the i-th configuration in the multiple preset configurations.

In the embodiment of the present invention, according to the matching value between the requirement semantics and each configuration tag, the preset configuration corresponding to the configuration tag with the largest matching value may be selected as the target configuration.

In this embodiment of the present invention, a target configuration is selected from a plurality of preset configurations according to the configuration semantics of the configuration requirement, wherein the target configuration includes but is not limited to field form, trigger event, page jump and query function.

S3, obtaining the initial frame of the data list, and configuring the initial frame of the data list according to the target configuration to obtain the target frame;

In this embodiment of the present invention, configuring the initial frame of the data list according to the target configuration includes at least one of the following configurations: performing a field configuration on the initial frame of the data list according to the field form in the target configuration Morphological configuration; trigger event configuration for the data list initial frame according to the trigger event in the target configuration; jump page configuration for the data list initial frame according to the jump page in the target configuration ; Perform a query configuration on the initial frame of the data list according to the query function in the target configuration.

In detail, the field form configuration includes but is not limited to configuring the font size, font color, and display mode of the field, wherein the display mode includes but is not limited to text box display, pop-up window display, and the like.

In practical applications, due to the correlation between the data, the trigger event configuration can be performed on the initial frame of the data list, so that when the user triggers a specific event (such as when clicking on some specific fields), the trigger event can be configured according to the preset Jump to another field or page with a given relationship. In this embodiment of the present invention, trigger events can be configured on the second frame through a function with a judgment function such as an IF function, or a computer program with an event monitoring function, so as to capture each trigger event in the list.

For example, the initial frame of the data list includes field A, and there is a calling relationship between field A and field B. When the preset function or program captures a user click event on field A in the initial frame of the data list, A call to field B can be implemented.

Or, the first data list of the initial frame of the data list includes field C, and the field C has a calling relationship with the second data list in the initial frame of the data list. When the preset function or program captures the user click In the event of field C, a call to the second data list can be implemented.

In this embodiment of the present invention, the jump page configuration can be implemented by performing hyperlinks on fields with associated relationships, or by invoking the generation of links. For example, if there is a calling relationship between field A and field B, a hyperlink for calling field B is generated for field A, so that when field A is clicked, field B is called; or, a hyperlink of field A is generated for field B. link, so that when field B is clicked, field A is called.

In the embodiment of the present invention, the query configuration of the initial data list frame according to the query function in the target configuration includes: acquiring a query function corresponding to the query function, and determining query parameters corresponding to the query function; A query entry corresponding to the query function is generated in the initial frame of the data list according to the query parameter.

In detail, there may be multiple query functions, and the query functions include but are not limited to conditional query functions, left fuzzy query functions, right fuzzy query functions, and precise query functions.

Since different query functions have different query methods, different query functions require different query parameters. The query parameters are fields required by the query function when querying data, such as keywords and similar words.

In the embodiment of the present invention, the query parameter of each query function is determined through a preset query parameter table. The query parameter table includes a plurality of query functions and query parameters corresponding to the query functions. By searching in the query parameter table, the query parameters corresponding to each query function can be found.

Further, in the embodiments of the present invention, corresponding query entries are generated for different query functions according to different query parameters, and the query entries are visual interfaces for implementing query methods corresponding to the query functions. For example, when the query function is a conditional query, a conditional filtering interface is generated in the initial frame of the data list, and the conditional filtering interface includes elements such as filterable conditions and conditional selection buttons.

S4. Perform database connection configuration on the target framework to obtain a data list.

In an example of the present invention, the database connection configuration for the target framework includes the following steps S31-S33:

S31, obtaining the unique identifier of the preset database, and querying the data interface parameters of the preset database according to the unique identifier;

Specifically, the unique identifier includes, but is not limited to, a database number, a database address, and the like that can be used to uniquely mark the preset database.

Specifically, data interface parameters corresponding to the preset database can be queried from a preset database interface parameter table by using the unique identifier, wherein the database interface parameter table includes multiple databases and data interfaces in each database Corresponding data interface parameters. S32, compiling the data interface parameters into an interface connection statement;

S33. Use the interface connection statement to connect the target framework with the preset database.

In this embodiment of the present invention, the data interface parameters can be compiled into an interface connection statement, and then the target framework can be connected with the preset database by using the interface connection statement, so as to implement database connection configuration for the target framework , to get a list of data.

In the embodiment of the present invention, by analyzing the configuration requirements of the user, a data report that better meets the user's requirements can be generated. The initial frame of the data list is pre-configured, and field forms, trigger events, page jumping and query functions are added, so that when the data list needs to be used for data storage and display, there is no need to gradually configure the development report, which reduces the workload and The development time is shortened, and the efficiency of data storage and processing analysis is improved. Therefore, the present invention provides a report generation device, electronic device and computer-readable storage medium, which can improve the efficiency of storing data in a data list, thereby solving the problem of low efficiency in report generation.

As shown in FIG. 4 , it is a functional block diagram of a report generating apparatus provided by an embodiment of the present invention.

The report generating apparatus 100 of the present invention can be installed in an electronic device. According to the realized functions, the report generating apparatus 100 may include a requirement acquisition module 101 , a matching value calculation module 102 , a framework configuration module 103 and a database connection module 104 . The modules in the present invention can also be called units, which refer to a series of computer program segments that can be executed by the electronic device processor and can perform fixed functions, and are stored in the memory of the electronic device.

In this embodiment, the functions of each module/unit are as follows:

The requirement obtaining module obtains the configuration requirement of the user, and extracts the requirement semantics of the configuration requirement;

The matching value calculation module calculates the matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and selects the preset corresponding to the configuration tag with the largest matching value Configured as the target configuration;

The frame configuration module obtains the initial frame of the data list, configures the initial frame of the data list according to the target configuration, and obtains the target frame;

The database connection module performs database connection configuration on the target framework to obtain a data list.

As shown in FIG. 5 , it is a schematic structural diagram of an electronic device for implementing a report generation method provided by an embodiment of the present invention.

The electronic device 1 may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and run on the processor 10, such as a report generation program .

The processor 10 may be composed of integrated circuits in some embodiments, for example, may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits packaged with the same function or different functions, including one or A combination of multiple central processing units (Central Processing Units, CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor 10 is the control core (ControlUnit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, by running or executing the program or module (for example, executing a report) stored in the memory 11. generate programs, etc.), and call data stored in the memory 11 to execute various functions of the electronic device and process data.

The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. . In some embodiments, the memory 11 may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory 11 may also be an external storage device of the electronic device, such as a pluggable mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) equipped on the electronic device. ) card, flash card (Flash Card) and so on. Further, the memory 11 may also include both an internal storage unit of an electronic device and an external storage device. The memory 11 can not only be used to store application software installed in the electronic device and various types of data, such as the code of the report generation program, etc., but also can be used to temporarily store data that has been output or will be output.

The communication bus 12 may be a Peripheral Component Interconnect (PCI for short) bus or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA for short) bus or the like. The bus can be divided into address bus, data bus, control bus and so on. The bus is configured to implement connection communication between the memory 11 and at least one processor 10 and the like.

The communication interface 13 is used for communication between the above electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (eg, a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, and the like. The display may also be appropriately called a display screen or a display unit, which is used for displaying information processed in the electronic device and for displaying a visual user interface.

The figure only shows an electronic device with components, and those skilled in the art can understand that the structure shown in the figure does not constitute a limitation on the electronic device, and may include fewer or more components than those shown in the figure. , or a combination of certain components, or a different arrangement of components.

For example, although not shown, the electronic device may also include a power source (such as a battery) for powering the various components, preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power source can be logically connected through the power management device. Implement functions such as charge management, discharge management, and power management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and any other components. The electronic device may further include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

It should be understood that the embodiments are only used for illustration, and are not limited by this structure in the scope of the patent application.

The report generation program stored in the memory 11 in the electronic device 1 is a combination of multiple instructions, and when running in the processor 10, it can realize:

Obtain the configuration requirements of the user, and extract the requirement semantics of the configuration requirements;

calculating the matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and selecting the preset configuration corresponding to the configuration tag with the largest matching value as the target configuration;

Obtain the initial frame of the data list, and configure the initial frame of the data list according to the target configuration to obtain the target frame;

A database connection configuration is performed on the target framework to obtain a data list.

Specifically, for the specific implementation method of the above-mentioned instruction by the processor 10, reference may be made to the description of the relevant steps in the embodiment corresponding to the accompanying drawings, which will not be repeated here.

Further, if the modules/units integrated in the electronic device 1 are implemented in the form of software functional units and sold or used as independent products, they may be stored in a computer-readable storage medium. The computer-readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a removable hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only). Memory).

The present invention also provides a computer-readable storage medium, where the readable storage medium stores a computer program, and when executed by a processor of an electronic device, the computer program can realize:

Obtain the configuration requirements of the user, and extract the requirement semantics of the configuration requirements;

calculating the matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and selecting the preset configuration corresponding to the configuration tag with the largest matching value as the target configuration;

Obtain the initial frame of the data list, and configure the initial frame of the data list according to the target configuration to obtain the target frame;

A database connection configuration is performed on the target framework to obtain a data list.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division manners in actual implementation.

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

In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, 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 can be implemented in the form of hardware plus software function modules.

It will be apparent to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, but that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics of the invention.

Therefore, the embodiments are to be regarded in all respects as illustrative and not restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, which are therefore intended to fall within the scope of the appended claims. All changes within the meaning and range of the equivalents of , are included in the present invention. Any reference signs in the claims shall not be construed as limiting the involved claim.

The blockchain referred to in the present invention is a new application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, and encryption algorithm. Blockchain, essentially a decentralized database, is a series of data blocks associated with cryptographic methods. Each data block contains a batch of network transaction information to verify its Validity of information (anti-counterfeiting) and generation of the next block. The blockchain can include the underlying platform of the blockchain, the platform product service layer, and the application service layer.

The embodiments of the present application may acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

Furthermore, it is clear that the word "comprising" does not exclude other units or steps and the singular does not exclude the plural. Several units or means recited in the system claims can also be implemented by one unit or means by means of software or hardware. The words first, second, etc. are used to denote names and do not denote any particular order.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be Modifications or equivalent substitutions can be made without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A report generation method is characterized by comprising the following steps:

acquiring configuration requirements of a user, and extracting requirement semantics of the configuration requirements;

calculating a matching value between the requirement semantics and a configuration label of each preset configuration in a plurality of preset configurations, and selecting the preset configuration corresponding to the configuration label with the maximum matching value as a target configuration;

acquiring a data list initial frame, and configuring the data list initial frame according to the target configuration to obtain a target frame;

and performing database connection configuration on the target frame to obtain a data list.

2. The report generation method of claim 1, wherein the extracting requirement semantics of the configuration requirement comprises:

performing word segmentation processing on the configuration requirement to obtain a requirement word segmentation;

counting the word segmentation frequency of each word in the required word segmentation, selecting the required word with the word segmentation frequency larger than a preset frequency threshold as a keyword, and converting each word in the keyword into a word vector;

and splicing the word vectors into a vector matrix, and determining the vector matrix as the requirement semantics of the configuration requirement.

3. The report generation method of claim 2, wherein the concatenating the word vectors into a vector matrix comprises:

counting the vector length of each word vector in the word vectors, and determining the maximum value in the vector lengths as a target length;

extending the vector length of each of the word vectors to the target length using preset parameters;

and splicing each prolonged word vector as a row vector to obtain a vector matrix.

4. The report generation method according to claim 1, wherein the calculating a matching value between the requirement semantics and the configuration tag of each of the plurality of preset configurations comprises:

wherein P is the match value, a is the requirement semantics, b_iA configuration tag for an ith configuration of the plurality of preset configurations.

5. The report generation method according to claim 1, wherein said configuring the data list initial framework according to the target configuration comprises at least one of:

carrying out field shape configuration on the initial frame of the data list according to the field shape in the target configuration;

performing trigger event configuration on the data list initial frame according to a trigger event in the target configuration;

performing skip page configuration on the initial frame of the data list according to a skip page in the target configuration;

and performing query configuration on the data list initial frame according to a query function in the target configuration.

6. The report generation method according to claim 5, wherein the query configuration of the initial frame of the data list according to the query function in the target configuration comprises:

acquiring a query function corresponding to the query function, and determining a query parameter corresponding to the query function;

and generating a query entry corresponding to the query function in the initial frame of the data list according to the query parameter.

7. The report generation method according to any of claims 1 to 6, wherein the performing a database connection configuration on the target framework comprises:

acquiring a unique identifier of a preset database, and inquiring data interface parameters of the preset database according to the unique identifier;

compiling the data interface parameters into interface connection statements;

and connecting the target frame with the preset database by using the interface connection statement.

8. A report generation apparatus, characterized in that the apparatus comprises:

the requirement acquisition module is used for acquiring the configuration requirement of a user and extracting the requirement semantics of the configuration requirement;

the matching value calculation module is used for calculating a matching value between the requirement semantics and the configuration tag of each preset configuration in multiple preset configurations, and selecting the preset configuration corresponding to the configuration tag with the maximum matching value as a target configuration;

the frame configuration module is used for acquiring a data list initial frame and configuring the data list initial frame according to the target configuration to obtain a target frame;

and the database connection module is used for carrying out database connection configuration on the target frame to obtain a data list.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the report generating method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the report generating method according to any of claims 1 to 7.

Images