CN115828881A - Data template generation method, device, electronic device and storage medium - Google Patents

Abstract

The present application provides a data template generation method, device, electronic equipment and storage medium, which relate to the field of big data. The method includes: receiving a data template generation request sent by a client, the data template generation request including at least one first element; acquiring at least one historical data template according to the data template generation request, the historical data template including multiple A historical element: generating a target data template according to the at least one historical data template and the at least one first element, and sending the target data template to the client. The above solution can generate a request according to the user's data template, refer to the existing historical data template, and generate a new data template, without configuring a large number of historical data templates, thereby reducing the difficulty of development.

Description

Data template generation method, device, electronic device and storage medium

technical field

The present application relates to the field of big data, and in particular to a data template generation method, device, electronic equipment and storage medium.

Background technique

In recent years, with the rapid development of the financial field, the banking industry is facing many huge challenges. With the expansion of business, more and more users have different kinds of requirements, including personal customization requirements, especially when importing and exporting data, users have personalized requirements for the form of data templates. Customized to bring users a variety of experience.

In related technologies, a data template library is established for existing historical data templates, and when a user's data template generation request is received, the data template library is searched for matching to obtain a historical data template that meets the data template generation request. This solution needs to configure a large number of historical data templates to match the matching historical data templates according to the user's data template generation request, and needs to update the data template library frequently, making development difficult.

Contents of the invention

The present application provides a data template generation method, device, electronic equipment and storage medium, which are used to reduce the development difficulty of data template generation.

In a first aspect, the present application provides a method for generating a data template, including: receiving a data template generation request sent by a client, the data template generation request including at least one first element; obtaining at least one history according to the data template generation request A data template, wherein the historical data template includes a plurality of historical elements; a target data template is generated according to the at least one historical data template and the at least one first element, and the target data template is sent to the client.

In a possible implementation manner, generating a target data template according to the at least one historical data template and the at least one first element includes: if a target historical data template exists in the at least one historical data template, generating The target historical data template is determined as the target data template, and the historical elements included in the target historical data template are the same as the at least one first element; if the target history does not exist in the at least one historical data template data template, then determine at least one necessary element group according to the historical elements in the at least one historical data template, and generate the target data template according to the at least one necessary element group and the at least one first element, so There is operation logic between each necessary element in the above-mentioned necessary element group.

In a possible implementation manner, generating the target data template according to the at least one necessary element group and the at least one first element includes: combining the at least one first element with each necessary element group Perform matching processing to determine whether there is a target necessary element group in the at least one necessary element group, and the at least one first element includes the necessary elements in the target necessary element group; if it is determined that the at least one necessary element group If the target necessary element group exists in the target element, the target data template is generated according to the at least one first element.

In a possible implementation manner, generating the target data template according to the at least one first element includes: determining a concatenation mode of the at least one first element; The first element is spliced to obtain the target data template.

In a possible implementation manner, the method further includes: if there are some necessary elements in the first necessary element group in the at least one first element, sending first prompt information to the user terminal, the The first prompt information includes the first necessary element group, and the first prompt information is also used to indicate that the elements input by the user are missing; if there is no necessary element in the at least one first element, the user terminal Sending second prompt information, where the second prompt information is used to indicate that the generation of the data template fails.

In a possible implementation manner, for any one of the at least one historical data template; according to the historical elements in the historical data template, determining the necessary element group corresponding to the historical data template includes: Determine the target operation logic among the historical elements in the historical data template; according to the target operation logic between the historical elements in the historical data template, determine the historical data among multiple historical elements in the historical data template The required element group corresponding to the data template.

In a possible implementation manner, determining the target operation logic among the historical elements in the historical data template includes: determining a plurality of candidate operation logics in the historical data template; a plurality of historical data corresponding to each historical element; perform verification processing on the candidate operation logic according to the plurality of historical data, and obtain a verification result corresponding to each candidate operation logic; use the verification result as a candidate operation successfully verified Logic is determined as the target operation logic.

In a second aspect, the present application provides a data template generation device, including: a receiving module, configured to receive a data template generation request sent by a client, where the data template generation request includes at least one first element; an acquisition module, configured to The data template generation request acquires at least one historical data template, and the historical data template includes a plurality of historical elements; a generation module is configured to generate a target data template according to the at least one historical data template and the at least one first element , and send the target data template to the client.

In a possible implementation manner, the generating module is specifically configured to, if a target historical data template exists in the at least one historical data template, determine the target historical data template as the target data template, the The historical elements included in the target historical data template are the same as the at least one first element; the generating module is specifically further configured to: if the target historical data template does not exist in the at least one historical data template, according to the historical elements in at least one historical data template, determine at least one necessary element group, and generate the target data template according to the at least one necessary element group and the at least one first element, each of the necessary element groups Operational logic exists between necessary elements.

In a possible implementation manner, the generation module is specifically configured to match the at least one first element with each necessary element group, so as to determine whether there is a target requirement in the at least one necessary element group. The element group, the at least one first element includes the necessary elements in the target necessary element group; the generating module is further configured to determine that the target necessary element group exists in the at least one necessary element group, Then, the target data template is generated according to the at least one first element.

In a possible implementation manner, the generating module is specifically configured to determine the splicing manner of the at least one first element; the generating module is specifically further configured to, according to the splicing manner, One element is spliced to obtain the target data template.

In a possible implementation manner, the apparatus further includes: a sending module, configured to send the first Prompt information, the first prompt information includes the first necessary element group, the first prompt information is also used to indicate that the elements input by the user are missing; the sending module is also used to if the at least one first If there is no essential element among the elements, then send second prompt information to the client, where the second prompt information is used to indicate that the generation of the data template fails.

In a possible implementation manner, the device further includes: a determination module, configured to determine the target operation logic among the historical elements in the historical data template; The target operation logic among the historical elements in the template determines the necessary element group corresponding to the historical data template among the multiple historical elements of the historical data template.

In a possible implementation manner, the determining module is specifically configured to determine a plurality of operation logics to be selected in the historical data template; the determining module is specifically configured to determine each history A plurality of historical data corresponding to the elements; the determination module is specifically further configured to perform verification processing on the candidate operation logic according to the plurality of historical data, and obtain a verification result corresponding to each candidate operation logic; the determination The module is specifically further configured to determine the candidate operation logic whose verification result is a successful verification as the target operation logic.

In a third aspect, the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, To realize the method described in any one of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and the computer-executable instructions are executed by a processor as described in any one of the first aspects. .

The data template generation method, device, electronic equipment, and storage medium provided by the present application receive a data template generation request sent by a client, and the data template generation request includes at least one first element; obtain at least one element according to the data template generation request A historical data template, the historical data template including a plurality of historical elements; generating a target data template according to the at least one historical data template and the at least one first element, and sending the target data template to the client. The above solution can generate a request according to the user's data template, refer to the existing historical data template, and generate a new data template, without configuring a large number of historical data templates, thereby reducing the difficulty of development.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description serve to explain the principles of the application.

FIG. 1 is a schematic diagram of an application scenario of a method for generating a data template provided in an embodiment of the present application;

FIG. 2 is a schematic flowchart of a method for generating a data template provided in Embodiment 1 of the present application;

FIG. 3 is an example of generating a target data template provided by an embodiment of the present application;

FIG. 4 is an example of the determination operation logic provided by the embodiment of the present application;

FIG. 5 is a structural example diagram of a data template generating device provided in Embodiment 2 of the present application;

FIG. 6 is a device block diagram of a data template generating device provided in Embodiment 3 of the present application;

FIG. 7 is a schematic structural diagram of an electronic device provided in Embodiment 4 of the present application.

By means of the above drawings, specific embodiments of the present application have been shown, which will be described in more detail hereinafter. These drawings and text descriptions are not intended to limit the scope of the concept of the application in any way, but to illustrate the concept of the application for those skilled in the art by referring to specific embodiments.

Detailed ways

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

It should be noted that the data template generation method, device, electronic equipment and storage medium of the present disclosure can be used in the field of big data. It can also be used in any field other than the field of big data. The application field of the disclosed data template generation method, device, electronic equipment and storage medium is not limited.

Figure 1 is a schematic diagram of an application scenario of a method for generating a data template provided by an embodiment of the present application. An example is given in conjunction with the illustrated scenario: the client sends a data template generation request to the server, the generation request includes the first element, and the server uses historical data Based on the laws of the historical elements in the template, the first element is used to generate a target data template, and the target data template is sent to the client.

The technical solutions of the present application and the technical solutions of the present application will be described in detail below with specific embodiments. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. In the description of the present application, unless otherwise clearly specified and limited, each term should be interpreted in a broad sense within the field. Embodiments of the present application will be described below in conjunction with the accompanying drawings.

Embodiment one

Fig. 2 is a schematic flow chart of a method for generating a data template provided in Embodiment 1 of the present application, and the method includes the following steps:

S201. Receive a data template generation request sent by the client, where the data template generation request includes at least one first element;

For example, the first element includes, but is not limited to: principal, interest rate, interest, income, and expenditure.

S202. Obtain at least one historical data template according to the data template generation request, where the historical data template includes a plurality of historical elements;

S203. Generate a target data template according to the at least one historical data template and the at least one first element, and send the target data template to the client.

As an example, the execution subject of this embodiment may be a data template generation device, and there are various implementations of the data template generation device. For example, it can be program software, or a medium that stores related computer programs, such as a USB flash drive, etc.; or, the device can also be an entity device that integrates or installs related computer programs, such as a chip, an intelligent terminal, a computer , server, etc.

In one example, S203 specifically includes: if there is a target historical data template in the at least one historical data template, determining the target historical data template as the target data template, and the history included in the target historical data template The elements are the same as the at least one first element; if the target historical data template does not exist in the at least one historical data template, at least one necessary element group is determined according to the historical elements in the at least one historical data template, And generating the target data template according to the at least one necessary element group and the at least one first element, and there is an operation logic among the necessary elements in the necessary element group.

Referring to the scenario example, each historical data template includes historical elements, and if the first element is consistent with the historical elements in any historical data template, the historical data template can be directly used as the target data template. If the first element is inconsistent with any historical element in any historical data template, a target data template needs to be generated. It can be understood that the present application can generate target data templates without configuring a large number of historical data templates.

As an implementable manner, as shown in FIG. 3 , FIG. 3 is an example of generating a target data template. Generate a request based on the data template to obtain the historical data template. It is judged whether the target historical data template exists in the historical data template, and if it exists, the target historical data template is used as the target data template. If it does not exist, the necessary element group is determined from the historical elements in the historical data template, and the target data template is generated according to the necessary element group.

For example, taking income, expenditure and balance elements as the necessary element group, the necessary element group satisfies the operation logic of balance=income-expenditure, and the operation logic cannot be realized without any element in the necessary element group.

Based on the above implementation manners, generating the target data template based on the historical data template can reduce the number of configured historical data templates, thereby reducing development difficulty.

In an example, generating the target data template according to the at least one necessary element group and the at least one first element includes: matching the at least one first element with each necessary element group, To judge whether there is a target essential element group in the at least one necessary element group, the at least one first element includes the necessary elements in the target essential element group; if it is determined that the at least one necessary element group exists in the The target necessary element group is to generate the target data template according to the at least one first element.

In conjunction with the scenario example, if the first element includes non-essential elements: user number and modification time, and includes necessary elements: income, expenditure, and balance, the group of necessary elements includes: income, expenditure, and balance. It means that the first element matches the necessary element group, the first element can generate a target data template, and the target data template is generated according to the first element.

Based on the above embodiments, the necessary element group is determined according to the operation logic, and the accuracy of generating the target data template based on the necessary element group is higher.

In an example, generating the target data template according to the at least one first element includes: determining a splicing method of the at least one first element; Splicing processing to obtain the target data template.

As an implementable manner, the splicing order of the historical elements of the historical data template is used as a splicing manner, and the splicing process is performed on the first element according to the splicing manner.

As another implementable manner, the splicing manner is customized by the user, and the splicing manner is included in the data template generation request.

As another implementable manner, a splicing manner is randomly generated, and splicing processing is performed on the first element according to the randomly generated splicing manner.

Based on the above implementation manners, the first elements are spliced through various splicing methods, and a customized data template can be generated according to the needs of users.

In an example, the method for generating a data template further includes: if there are some necessary elements in the first necessary element group in the at least one first element, sending first prompt information to the client, the first prompt The information includes the first necessary element group, and the first prompt information is also used to indicate that the element input by the user is missing; if there is no necessary element in the at least one first element, then send the second Prompt information, the second prompt information is used to indicate that the generation of the data template fails.

In conjunction with the scenario example, if the first element includes the necessary elements: income and balance, and does not match the necessary element group, the necessary element group includes: income, expenditure, and balance, then send a message indicating that the elements entered by the user are missing to the client , the information includes missing required element expenditures. According to the prompt information, the user can specify how to supplement the first element to generate a data template. If the first element only includes non-essential elements: user number and modification time, and the data template cannot be generated, the second prompt message sent to the client indicates that the generation of the data template failed.

Based on the above implementation manners, the prompt information fed back to the user terminal may facilitate the user to modify the data template generation request according to the prompt information.

In an example, for any one of the at least one historical data template; according to the historical elements in the historical data template, determining the necessary element group corresponding to the historical data template includes: determining the historical The target operation logic between the historical elements in the data template; according to the target operation logic between the historical elements in the historical data template, determine the corresponding value of the historical data template among the multiple historical elements of the historical data template Required element group.

Combined with the scenario example, the historical elements that conform to the operation logic are used as the necessary element group, and the necessary element group is determined for a historical data template. Different historical data templates correspond to different application scenarios, and historical elements in different application scenarios cannot pass through the operation logic. build connection.

Based on the above implementation manners, based on the operation logic, necessary elements and non-essential elements can be accurately distinguished, thereby improving the accuracy of determining the necessary element group.

Further, in an example, determining the target operation logic among the historical elements in the historical data template includes: determining a plurality of candidate operation logics in the historical data template; determining each A plurality of historical data corresponding to the historical elements; verifying the candidate operation logic according to the plurality of historical data to obtain a verification result corresponding to each candidate operation logic; Determine the operation logic for the target.

As an implementable manner, as shown in FIG. 4 , FIG. 4 is an example of determining operation logic. The operation logic to be selected is preliminarily determined from the historical data template, and the operation logic to be selected is determined through partial data. The to-be-selected operation logic is verified through all historical data, and if the verification of the historical data exceeding the preset percentage is passed, the to-be-selected operation logic is used as the target operation logic.

In combination with the scenario example, if there are errors in some of the historical data, the historical data with errors will fail the verification, so set the percentage amount as the verification target.

Based on the above embodiments, the target operation logic is obtained through historical data verification, and the accuracy is higher.

In the data template generation method provided in this embodiment, the data template generation request sent by the client is received, and the data template generation request includes at least one first element; at least one historical data template is obtained according to the data template generation request, and the The historical data template includes a plurality of historical elements; a target data template is generated according to the at least one historical data template and the at least one first element, and the target data template is sent to the client. The above solution can generate a request according to the user's data template, refer to the existing historical data template, and generate a new data template, without configuring a large number of historical data templates, thereby reducing the difficulty of development.

Embodiment two

FIG. 5 is a schematic structural diagram of a data template generating device provided in Embodiment 2 of the present application. As shown in FIG. 5, the data template generating device includes:

The receiving module 61 is configured to receive a data template generation request sent by the client, and the data template generation request includes at least one first element;

For example, the first element includes, but is not limited to: principal, interest rate, interest, income, and expenditure.

An acquisition module 62, configured to acquire at least one historical data template according to the data template generation request, the historical data template including a plurality of historical elements;

The generating module 63 is configured to generate a target data template according to the at least one historical data template and the at least one first element, and send the target data template to the client.

In an example, the generating module 63 is specifically configured to determine the target historical data template as the target data template if there is a target historical data template in the at least one historical data template, and the target historical data template in the target historical data template The included historical elements are the same as the at least one first element; the generating module 63 is specifically further configured to, if the target historical data template does not exist in the at least one historical data template, then according to the at least one historical data template historical elements, determine at least one necessary element group, and generate the target data template according to the at least one necessary element group and the at least one first element, and there is an operation between the necessary elements in the necessary element group logic.

Referring to the scenario example, each historical data template includes historical elements, and if the first element is consistent with the historical elements in any historical data template, the historical data template can be directly used as the target data template. If the first element is inconsistent with any historical element in any historical data template, a target data template needs to be generated. It can be understood that the present application can generate target data templates without configuring a large number of historical data templates.

As an implementable manner, as shown in FIG. 3 , FIG. 3 is an example of generating a target data template. Generate a request based on the data template to obtain the historical data template. It is judged whether the target historical data template exists in the historical data template, and if it exists, the target historical data template is used as the target data template. If it does not exist, the necessary element group is determined from the historical elements in the historical data template, and the target data template is generated according to the necessary element group.

For example, taking income, expenditure and balance elements as the necessary element group, the necessary element group satisfies the operation logic of balance=income-expenditure, and the operation logic cannot be realized without any element in the necessary element group.

Based on the above implementation manners, generating the target data template based on the historical data template can reduce the number of configured historical data templates, thereby reducing development difficulty.

In an example, the generating module 63 is specifically configured to match the at least one first element with each necessary element group, so as to determine whether a target necessary element group exists in the at least one necessary element group, the At least one first element includes the necessary elements in the target group of necessary elements; the generation module 63 is further configured to, if it is determined that the target group of necessary elements exists in the at least one group of necessary elements, then according to the at least one The first element is to generate the target data template.

In conjunction with the scenario example, if the first element includes non-essential elements: user number and modification time, and includes necessary elements: income, expenditure, and balance, the group of necessary elements includes: income, expenditure, and balance. It means that the first element matches the necessary element group, the first element can generate a target data template, and the target data template is generated according to the first element.

Based on the above embodiments, the necessary element group is determined according to the operation logic, and the accuracy of generating the target data template based on the necessary element group is higher.

In an example, the generating module 63 is specifically configured to determine the splicing manner of the at least one first element; the generating module 63 is specifically configured to splice the at least one first element according to the splicing manner, Obtain the target data template.

As an implementable manner, the splicing order of the historical elements of the historical data template is used as a splicing manner, and the splicing process is performed on the first element according to the splicing manner.

As another implementable manner, the splicing manner is customized by the user, and the splicing manner is included in the data template generation request.

As another implementable manner, a splicing manner is randomly generated, and splicing processing is performed on the first element according to the randomly generated splicing manner.

Based on the above implementation manners, the first elements are spliced through various splicing methods, and a customized data template can be generated according to the needs of users.

In one example, the data template generation device further includes: a sending module 64, configured to send first prompt information to the client if some of the necessary elements in the first necessary element group exist in the at least one first element , the first prompt information includes the first necessary element group, and the first prompt information is also used to indicate that the element input by the user is missing; the sending module 64 is also configured to if the at least one first element is not If there is a necessary element, then send second prompt information to the user terminal, where the second prompt information is used to indicate that the generation of the data template fails.

In conjunction with the scenario example, if the first element includes the necessary elements: income and balance, and does not match the necessary element group, the necessary element group includes: income, expenditure, and balance, then send a message indicating that the elements entered by the user are missing to the client , the information includes missing required element expenditures. According to the prompt information, the user can specify how to supplement the first element to generate a data template. If the first element only includes non-essential elements: user number and modification time, and the data template cannot be generated, the second prompt message sent to the client indicates that the generation of the data template failed.

Based on the above implementation manners, the prompt information fed back to the user terminal may facilitate the user to modify the data template generation request according to the prompt information.

In one example, the data template generating device further includes: a determination module 65, configured to determine the target operation logic among the historical elements in the historical data template; The target operation logic between the historical elements determines the necessary element group corresponding to the historical data template among the multiple historical elements of the historical data template.

Combined with the scenario example, the historical elements that conform to the operation logic are used as the necessary element group, and the necessary element group is determined for a historical data template. Different historical data templates correspond to different application scenarios, and historical elements in different application scenarios cannot pass through the operation logic. build connection.

Based on the above implementation manners, based on the operation logic, necessary elements and non-essential elements can be accurately distinguished, thereby improving the accuracy of determining the necessary element group.

Further, in an example, the determination module 65 is specifically used to determine a plurality of operation logics to be selected in the historical data template; the determination module 65 is also specifically used to determine the corresponding historical elements in the historical data template A plurality of historical data; the determination module 65 is specifically also used for verifying the operation logic to be selected according to the plurality of historical data, and obtains a verification result corresponding to each operation logic to be selected; the determination module 65 is also specifically used To determine the candidate operation logic whose verification result is a successful verification as the target operation logic.

As an implementable manner, as shown in FIG. 4 , FIG. 4 is an example of determining operation logic. The operation logic to be selected is preliminarily determined from the historical data template, and the operation logic to be selected is determined through partial data. The to-be-selected operation logic is verified through all historical data, and if the verification of the historical data exceeding the preset percentage is passed, the to-be-selected operation logic is used as the target operation logic.

In combination with the scenario example, if there are errors in some of the historical data, the historical data with errors will fail the verification, so set the percentage amount as the verification target.

Based on the above embodiments, the target operation logic is obtained through historical data verification, and the accuracy is higher.

In the data template generation device provided in this embodiment, the receiving module is configured to receive a data template generation request sent by the client, and the data template generation request includes at least one first element; the acquisition module is configured to generate a data template according to the data template Request to acquire at least one historical data template, the historical data template includes a plurality of historical elements; a generating module, configured to generate a target data template according to the at least one historical data template and the at least one first element, and send to the The client sends the target data template. The above solution can generate a request according to the user's data template, refer to the existing historical data template, and generate a new data template, without configuring a large number of historical data templates, thereby reducing the difficulty of development.

Embodiment three

Fig. 6 is a block diagram of a device for generating a data template according to an exemplary embodiment, the device may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, or a fitness device , personal digital assistants, etc.

Apparatus 800 may include one or more of the following components: processing component 802 , memory 804 , power component 806 , multimedia component 808 , audio component 810 , input/output interface 812 , sensor component 814 , and communication component 816 .

The processing component 802 generally controls the overall operations of the device 800, such as those associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802 .

The memory 804 is configured to store various types of data to support operations at the device 800 . Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 can be implemented by any type of volatile or non-volatile memory device or their combination, such as Static Random-Access Memory (Static Random-Access Memory, referred to as SRAM), Electrically Erasable Programmable Read-Only Memory (EPROM) Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), Erasable Programmable Read-Only Memory (Erasable Programmable Read-Only Memory, referred to as EPROM), Programmable Read-Only Memory (Programmable Read-Only Memory, referred to as PROM), read-only Memory (Read-Only Memory, ROM for short), magnetic memory, flash memory, magnetic disk or optical disk.

The power supply component 806 provides power to the various components of the device 800 . Power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 800 .

The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (Liquid Crystal Display, LCD for short) and a touch panel (Touch Panel, TP for short). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or swipe action, but also detect duration and pressure associated with the touch or swipe action. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone (Microphone, MIC for short), which is configured to receive external audio signals when the device 800 is in operation modes, such as calling mode, recording mode and voice recognition mode. Received audio signals may be further stored in memory 804 or sent via communication component 816 . In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

The input/output interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.

Sensor assembly 814 includes one or more sensors for providing status assessments of various aspects of device 800 . For example, the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800, and the sensor component 814 can also detect a change in the position of the device 800 or a component of the device 800 , the presence or absence of user contact with the device 800 , the device 800 orientation or acceleration/deceleration and the temperature change of the device 800 . Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor component 814 may also include a light sensor, such as a Complementary Metal Oxide Semiconductor (CMOS) image sensor or a Charge-coupled Device (CCD), for use in imaging applications. In some embodiments, the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 816 is configured to facilitate wired or wireless communication between the apparatus 800 and other devices. The device 800 can access wireless networks based on communication standards, such as WiFi, second-generation mobile communication technology (2nd-Generation Communication Technology, referred to as 2G), third-generation mobile communication technology (3rd-Generation Communication Technology, referred to as 3G), and fourth-generation mobile communication technology. Mobile communication technology (4th-Generation Communication Technology, referred to as 4G) or fifth-generation mobile communication technology (5th-Generation Communication Technology, referred to as 5G) or their combination. In an exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a near field communication (Near Field Communication, NFC for short) module to facilitate short-range communication. For example, the NFC module can be based on radio frequency identification (Radio Frequency Identification, referred to as RFID) technology, infrared data association (Infrared Data Association, referred to as IrDA) technology, ultra-wideband (UltraWide Band, referred to as UWB) technology, Bluetooth (Bluetooth, referred to as BT) technology and other technologies.

In an exemplary embodiment, the apparatus 800 may be implemented by one or more application-specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), digital signal processors (Digital Signal Process, DSP for short), digital signal processing devices (Digital Signal Process Device , referred to as DSPD), programmable logic device (Programmable Logic Device, referred to as PLD), field programmable gate array (Field ProgrammableGate Array, referred to as FPGA), controller, microcontroller, microprocessor or other electronic components to achieve, for Execute the method above.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as the memory 804 including instructions, which can be executed by the processor 820 of the device 800 to implement the above method. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (Random Access Memory, RAM for short), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

Embodiment four

FIG. 7 is a schematic structural diagram of an electronic device provided in an embodiment of the present application. As shown in FIG. 7, the electronic device includes:

A processor (processor) 291 , the electronic device also includes a memory (memory) 292 ; it may also include a communication interface (Communication Interface) 293 and a bus 294 . Among them, the processor 291 , the memory 292 , and the communication interface 293 can communicate with each other through the bus 294 . The communication interface 293 can be used for information transmission. The processor 291 can invoke logic instructions in the memory 292 to execute the methods of the above-mentioned embodiments.

In addition, the above-mentioned logic instructions in the memory 292 may be implemented in the form of software function units and may be stored in a computer-readable storage medium when sold or used as an independent product.

The memory 292, as a computer-readable storage medium, can be used to store software programs and computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present application. The processor 291 executes the function application and data processing by running the software programs, instructions and modules stored in the memory 292, that is, implements the methods in the above method embodiments.

The memory 292 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required by a function; the data storage area may store data created according to the use of the terminal device, and the like. In addition, the memory 292 may include a high-speed random access memory, and may also include a non-volatile memory.

An embodiment of the present application provides a non-transitory computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, they are used to implement the above-mentioned embodiments. method.

Other embodiments of the present application will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the application, these modifications, uses or adaptations follow the general principles of the application and include common knowledge or conventional technical means in the technical field not disclosed in the application . The specification and examples are to be considered exemplary only, with a true scope and spirit of the application indicated by the following claims.

It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all It is information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose authorization or reject.

It should be understood that the present application is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (10)

1. A data template generating method, characterized in that, comprising: receiving a data template generation request sent by the client, where the data template generation request includes at least one first element; Acquiring at least one historical data template according to the data template generation request, the historical data template including a plurality of historical elements; Generate a target data template according to the at least one historical data template and the at least one first element, and send the target data template to the client. 2. The method according to claim 1, wherein generating a target data template according to the at least one historical data template and the at least one first element comprises: If there is a target historical data template in the at least one historical data template, then determine the target historical data template as the target data template, and the historical elements included in the target historical data template are the same as the at least one first element same; If the target historical data template does not exist in the at least one historical data template, then according to the historical elements in the at least one historical data template, determine at least one necessary element group, and according to the at least one necessary element group and the The at least one first element is used to generate the target data template, and there is an operation logic among the necessary elements in the group of necessary elements. 3. The method according to claim 2, wherein generating the target data template according to the at least one necessary element group and the at least one first element comprises: The at least one first element is matched with each necessary element group to determine whether there is a target necessary element group in the at least one necessary element group, and the at least one first element includes the target necessary element necessary elements in the group; If it is determined that the target necessary element group exists in the at least one necessary element group, the target data template is generated according to the at least one first element. 4. The method according to claim 3, wherein generating the target data template according to the at least one first element comprises: determining the splicing manner of the at least one first element; According to the splicing manner, the at least one first element is spliced to obtain the target data template. 5. according to the described method of claim 3 or 4, it is characterized in that, described method also comprises: If there are some necessary elements in the first necessary element group in the at least one first element, then send first prompt information to the user terminal, the first prompt information includes the first necessary element group, so The first prompt information is also used to indicate that the element input by the user is missing; If there is no necessary element in the at least one first element, then send second prompt information to the client, 5 and the second prompt information is used to indicate that the generation of the data template fails. 6. The method according to any one of claims 1-4, wherein, for any one of the at least one historical data template; according to the historical elements in the historical data template, determine the The necessary element groups corresponding to the historical data template include: Determine the target operation logic among the historical elements in the historical data template; 0. According to the target operation logic among the historical elements in the historical data template, determine the necessary element group corresponding to the historical data template among the multiple historical elements in the historical data template. 7. The method according to claim 6, wherein determining the target operation logic between each historical element in the historical data template comprises: Determining multiple operational logics to be selected in the historical data template; 5. Determine a plurality of historical data corresponding to each historical element in the historical data template; performing verification processing on the candidate operation logic according to the plurality of historical data, and obtaining a verification result corresponding to each candidate operation logic; The candidate operation logic whose verification result is a successful verification is determined as the target operation logic. 8. A data template generation device, characterized in that, comprising: A receiving module, configured to receive a data template generation request sent by the client, where the data template generation request includes at least one first element; An acquisition module, configured to acquire at least one historical data template according to the data template generation request, the historical data template including a plurality of historical elements; A generating module, configured to generate 5 a target data template according to the at least one historical data template and the at least one first element, and send the target data template to the client. 9. An electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; The processor executes the computer-implemented instructions stored in the memory to implement the method according to any one of claims 1-7. 10. A computer-readable storage medium, characterized in that, computer-executable instructions are stored in the computer-readable storage medium, and the computer-executable instructions are used to implement any one of claims 1-7 when executed by a processor. method described in the item.

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