CN-121979844-A - Data processing method and device, computing equipment and storage medium

CN121979844ACN 121979844 ACN121979844 ACN 121979844ACN-121979844-A

Abstract

The embodiment of the specification provides a data processing method, a data processing device, a computing device and a storage medium, wherein the data processing method comprises the steps of obtaining a natural language instruction aiming at an initial data file, wherein the natural language instruction is an instruction for carrying out target operation on data in the initial data file and/or the initial data file, executing the target operation on the data in the initial data file and/or the initial data file according to the natural language instruction based on a data processing model to obtain a target data file, and sending target data in the target data file to a data receiving end according to prompt configuration information corresponding to the target data file so as to display the target data through the data receiving end.

Inventors

XIE MIN
ZHONG YONG
PENG SONG
MO JUN
YANG WANCHUN
LU LULU
Si Tingyu
WANG ZIXIAN
JIANG YITONG

Assignees

浙江菜鸟供应链管理有限公司

Dates

Publication Date: 20260505
Application Date: 20251203

Claims (10)

1. A data processing method, comprising: acquiring a natural language instruction aiming at an initial data file, wherein the natural language instruction is an instruction for carrying out target operation on data in the initial data file and/or the initial data file; Based on a data processing model, executing the target operation on the data in the initial data file and/or the initial data file according to the natural language instruction to obtain a target data file; And sending the target data in the target data file to a data receiving end according to the prompt configuration information corresponding to the target data file so as to display the target data through the data receiving end.
2. The method of claim 1, the performing the target operation on the data in the initial data file and/or the initial data file according to the natural language instructions based on a data processing model to obtain a target data file, comprising: Inputting the natural language instruction into the data processing model, and carrying out intention recognition on the natural language instruction based on the data processing model to obtain a target operation corresponding to the natural language instruction; Determining an execution code corresponding to the target operation according to the target operation; and running the execution code based on the data processing model to execute the target operation on the data in the initial data file and/or the initial data file to obtain a target data file.
3. The method of claim 2, wherein the performing intent recognition on the natural language instruction based on the data processing model to obtain the target operation corresponding to the natural language instruction further comprises: Performing intention recognition on the natural language instruction based on the data processing model to obtain an intention recognition result; generating reply information according to the natural language instruction under the condition that the natural language instruction does not meet the operation condition according to the intention recognition result, wherein the reply information is used for prompting the information supplementation of the natural language instruction; And receiving a next natural language instruction aiming at the reply information, and continuously executing the step of inputting the natural language instruction into the data processing model and carrying out intention recognition on the natural language instruction based on the data processing model.
4. A method according to any of claims 1-3, wherein the performing the target operation on the data in the initial data file and/or the initial data file according to the natural language instructions based on the data processing model, after obtaining a target data file, further comprises: Recording the data processing model, and executing the target operation on the data in the initial data file and/or the initial data file according to the natural language instruction to obtain the process information of the target data file; generating an instruction execution template corresponding to the natural language instruction according to the process information; In response to a next natural language instruction, the instruction execution template is invoked to execute the next natural language instruction if it is determined that the next natural language instruction is the same as the natural language instruction.
5. The method according to any one of claims 1-3, wherein the sending, according to the prompt configuration information corresponding to the target data file, the target data in the target data file to a data receiving end so as to display the target data through the data receiving end includes: Determining target data from data in the target data file according to data configuration information in prompt configuration information corresponding to the target data file, and determining a data receiving end corresponding to the target data; and sending the target data to the data receiving end according to the time configuration information in the prompt configuration information so as to display the target data through the data receiving end.
6. A method according to any of claims 1-3, further comprising, prior to said retrieving natural language instructions for the initial data file: Responding to a data acquisition instruction, acquiring the initial data file from a data source corresponding to the data acquisition instruction, and displaying data in the initial data file; The data processing model is based, the target operation is executed on the data in the initial data file and/or the initial data file according to the natural language instruction, and after the target data file is obtained, the method further comprises the steps of: displaying the data in the target data file; and responding to a selection instruction for the data screening items in the target data file, and displaying the data corresponding to the data screening items.
7. The method according to any one of claims 1-3, wherein after the target data in the target data file is sent to the data receiving end according to the prompt configuration information corresponding to the target data file, the method further includes: generating execution report information corresponding to the natural language instruction; The execution report information comprises creation information, modification information, prompt configuration information and data transmission state information corresponding to the natural language instruction.
8. A computing device, comprising: A memory and a processor; the memory is adapted to store a computer program/instruction, the processor being adapted to execute the computer program/instruction, which when executed by the processor performs the steps of the method according to any one of claims 1 to 7.
9. A computer readable storage medium storing a computer program/instruction which, when executed by a processor, implements the steps of the method of any one of claims 1 to 7.
10. A computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method of any of claims 1 to 7.

Description

Data processing method and device, computing equipment and storage medium Technical Field Embodiments of the present disclosure relate to the field of artificial intelligence and the field of data processing technologies, and in particular, to a data processing method and apparatus, a computing device, and a storage medium. Background In practical applications, the warehouse management system may be used for inventory management, warehouse entry and exit operation, task allocation, operation tracking, etc. in actual operation, the warehouse management system may continuously generate a large amount of real-time or near real-time production data, such as order processing amount, order picking efficiency, and abnormal error reporting. Generally, a planner in a warehouse needs to make a scheduling decision based on data, such as whether a person needs to be added, whether an abnormal link occurs, etc., staff in the warehouse needs to manually derive data from a warehouse management system and make report analysis trends through a tabulating tool, the same data processing logic is repeatedly executed manually, which causes manpower waste, and frequent data derivation from the warehouse management system also causes increase of system load, also occupies computing resources, increases labor cost, and may also increase system operation and maintenance cost, further affects stability of the warehouse management system, so an effective technical scheme is needed to solve the above problems. Disclosure of Invention In view of this, the present embodiments provide a data processing method. One or more embodiments of the present specification are also directed to a data processing apparatus, a computing device, a computer-readable storage medium, and a computer program product that address the deficiencies of the prior art. According to a first aspect of embodiments of the present specification, there is provided a data processing method, including: acquiring a natural language instruction aiming at an initial data file, wherein the natural language instruction is an instruction for carrying out target operation on data in the initial data file and/or the initial data file; Based on a data processing model, executing the target operation on the data in the initial data file and/or the initial data file according to the natural language instruction to obtain a target data file; And sending the target data in the target data file to a data receiving end according to the prompt configuration information corresponding to the target data file so as to display the target data through the data receiving end. According to a second aspect of embodiments of the present specification, there is provided a data processing apparatus comprising: the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is configured to acquire natural language instructions for an initial data file, wherein the natural language instructions are instructions for performing target operation on data in the initial data file and/or the initial data file; the execution module is configured to execute the target operation on the data in the initial data file and/or the initial data file according to the natural language instruction based on a data processing model to obtain a target data file; the sending module is configured to send the target data in the target data file to a data receiving end according to the prompt configuration information corresponding to the target data file so as to display the target data through the data receiving end. According to a third aspect of embodiments of the present specification, there is provided a computing device comprising: A memory and a processor; The memory is used for storing computer programs/instructions, and the processor is used for executing the computer programs/instructions, and the computer programs/instructions realize the steps of the data processing method when being executed by the processor. According to a fourth aspect of embodiments of the present specification, there is provided a computer readable storage medium storing a computer program/instruction which, when executed by a processor, implements the steps of the data processing method described above. According to a fifth aspect of embodiments of the present specification, there is provided a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the data processing method described above. An embodiment of the specification provides a data processing method, which comprises the steps of obtaining a natural language instruction aiming at an initial data file, wherein the natural language instruction is an instruction for carrying out target operation on data in the initial data file and/or the initial data file, executing the target operation on the data in the initial data file and/or the initial data file according