Illustratively, the page data in the aforementioned source data generally belongs to semi-structured data with a document type of HTML and a light data exchange format as a source.

After determining the data structure type of the source data, the data processing device performs a first conversion process on the source data to convert the source data into intermediate data having a preset data structure type. Specifically, a first mapping relation between a data structure type of the source data and the preset data structure type is determined; and then, calling a data conversion component corresponding to the first mapping relation, and performing data conversion processing on the source data to obtain the intermediate data.

Furthermore, a converter is also arranged in the data processing device, and the converter comprises mapping relations among a plurality of data structure types and a data conversion component corresponding to each mapping relation.

For example, the components NPOI and Aspose are two common data transformation components. The NPOI can be used for converting Excel data of semi-structured data into structured data SqlServer or Oracle; and the Aspose can realize the processing of converting Word data of unstructured data into structured data SqlServer or Oracle.

That is to say, in the embodiment of the present application, the data processing apparatus may determine the data structure type of the source data, then establish a mapping between the data structure type and a preset data structure type, and then find the conversion component corresponding to the mapping from the converter, so as to start the data conversion component and perform the conversion processing on the source data.

The source data will be converted into intermediate data existing in a preset data structure type by the processing of the data conversion components including the components NPOI and expose, etc.

It should be noted that the storage form of the intermediate data at least includes the following items: an intermediate data item name, an intermediate data item type, an intermediate data item length, and a description.

The name of the intermediate data item, the type of the intermediate data item, and the length of the intermediate data item correspond to the related information in the type definition information in the aforementioned source data, and the description refers to the specific data content of the source data under the data structure type of the source data.

Through the above processing, the data processing apparatus will obtain intermediate data having a preset data structure type. It should be noted that, although there is a difference between different source data and the data structure type of the source data, the source data will be converted into intermediate data having the same data structure type. Generally, the intermediate data is of a structured data structure type in order to simplify the conversion process.

After the data processing device obtains the intermediate data, the data processing device also converts the intermediate data again to obtain the data under the target data structure type required by the examination and approval.

Specifically, the data processing device determines a second mapping relationship between the preset data structure type and the target data structure type; and calling a data conversion component corresponding to the second mapping relation, and performing data conversion processing on the intermediate data to obtain the target data.

Similar to the foregoing conversion of the source data, when the intermediate data is processed, a mapping relationship between a data structure type of the intermediate data and a target data structure type is determined, so that a corresponding data conversion component is called from the converter according to the mapping relationship to perform conversion processing on the intermediate data.

The data processing method provided by the embodiment of the application realizes the conversion of the data of the unspecific type by converting the source data into the intermediate data and then converting the intermediate data to obtain the target data, and the method is suitable for various scenes including a dynamic approval process and meets different requirements of different users on data derivation. The intermediate data are of a structured data structure type, the data of other data structure types are converted into the intermediate data of the structured data structure type, the intermediate data of the structured data structure type are converted into the target data of other data structure types, the conversion processing processes adopted by the intermediate data and the target data of the structured data structure type are simple and efficient, and the processing speed of the data in the approval process is convenient to improve.

Example two

On the basis of the first embodiment, the second embodiment provides a data processing apparatus, fig. 4 is a schematic structural diagram of the data processing apparatus provided in the present application, and as shown in fig. 4, the data processing apparatus includes: anacquisition module 410, adetermination module 420, and aconversion module 430.

An obtainingmodule 410, configured to obtain to-be-processed source data that is uploaded by a user at a current approval node;

a determiningmodule 420, configured to determine a data structure type of the source data and a target data structure type that needs to be derived;

aconversion module 430, configured to perform a first conversion process on the source data to convert the source data into intermediate data having a preset data structure type; and performing second conversion processing on the intermediate data to convert the intermediate data into target data with a target data structure type required to be derived.

In an optional embodiment, the determiningmodule 420 is specifically configured to:

In an optional embodiment, theconversion module 430 is specifically configured to:

The embodiment of the application provides a data processing device, which is used for acquiring source data to be processed, which is uploaded by a user at a current approval node; determining the data structure type of the source data and the target data structure type needing to be derived; performing first conversion processing on the source data to convert the source data into intermediate data with a preset data structure type; and performing second conversion processing on the intermediate data to convert the intermediate data into target data with a target data structure type needing to be exported, so that conversion of data of a non-specific type is realized in a mode of converting source data into the intermediate data firstly and then converting the intermediate data to obtain the target data, and the mode is suitable for various scenes including a dynamic approval process and meets different requirements of different users on data export.

EXAMPLE III

Fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and as shown in fig. 5, an embodiment of the present application further provides an electronic device 1400, which includes:memory 1401,processor 1402, and computer programs.

Wherein the computer program is stored in thememory 1401 and configured to be executed by theprocessor 1402 to implement the data processing method provided by any one of the embodiments of the present application. The related descriptions and effects corresponding to the steps in the drawings can be correspondingly understood, and redundant description is not repeated here.

In this embodiment, thememory 1401 and theprocessor 1402 are connected by a bus.

Example four

The embodiment of the application provides a computer readable storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the data processing method provided by any one of the embodiments of the application.

In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, a division of modules is merely a logical division, and an actual implementation may have another division, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, systems or modules, and may be in an electrical, mechanical or other form.

Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware form, and can also be realized in a form of hardware and a software functional module.

Program code for implementing the methods of the present application may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable question answering system, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

Furthermore, the present application provides a computer program product comprising a computer program which, when executed by a processor, implements the data processing method as described before.

Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. A data processing method, comprising:

2. The data processing method of claim 1, wherein the determining the data structure type of the source data comprises:

3. The data processing method according to claim 2, wherein the type definition information includes: data attribute information, source information of data, and data content.

4. The data processing method according to claim 1, wherein the performing a first conversion process on the source data to convert the source data into intermediate data having a preset data structure type includes:

5. The data processing method according to claim 4, wherein said performing a second conversion process on the intermediate data to convert the intermediate data into target data having a target data structure type that needs to be derived includes:

6. A data processing apparatus, comprising:

7. The data processing apparatus of claim 6, wherein the conversion module is specifically configured to:

8. An electronic device, comprising: at least one processor and memory;

the memory stores computer-executable instructions;

the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of any one of claims 1-5.

9. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1-5.

10. A computer program product comprising a computer program, characterized in that the computer program realizes the method according to any of claims 1-5 when executed by a processor.