Data resource preprocessing method

Abstract

An embodiment of the invention discloses a data resource preprocessing method. Original data which are artificially easily recognized are converted into data resources meeting data processing requirements of a machine or a program by the aid of a data preprocessing system according to the preprocessing method. The preprocessing method includes the steps: as for the original data in tabulated forms, recognizing data which are artificially easily recognized and need conversion from the original data according to mnemonic symbols; determining a comparison table needing to be used and recording corresponding relations among the artificially easily recognized data and data meeting the data processing requirements according to the mnemonic symbols; and converting the artificially easily recognized data identified by the mnemonic symbols into the forms meeting data processing requirements of the machine or the program according to the comparison table. By the aid of the method, maintenance difficulty and the maintenance quantity of the data resources can be effectively decreased, and correctness and validity of the data resources are ensured.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for preprocessing data resources. Background technique [0002] Data resources are the basic data that various machines or programs need to use in normal operation, such as figure 1 As shown, the machine or program directly reads various data resources from the outside through the data interface to achieve normal operation. The data resources include constants and definitions in the program source code, configuration data in the XML configuration file, and tables that need to be read during runtime. and text content, as well as various non-text resources such as pictures and music. For large-scale software programs, a lot of data resources are often required. Taking a large-scale online game as an example, there are 45,000 types of props and nearly 15,000 pictures for the interface. These data resources need to be prepared manually. Maintenance, to ensure the c...

AI Technical Summary

Problems solved by technology

[0003] However, in order for machines or programs to be able to identify and process, then these data resources that need to be read directly need to be implemented and organized in a way that is easy to identify and process for machines or programs, and the way for machines or programs to be easily identified and processed is difficult for humans. It is often difficult to read and understand; for a large number of raw data resources, there are often a large number of meaningless tables and figures. If you do not have a good understanding of the specific process and requirements of data processing, and do not have a clear data processing logic, it is difficult to effectively process Data resources are directly modified and maintained. The maintenance process is not only time-consuming and labor-intensive, but also prone to errors and high maintenance costs.

[0004] In addition, the data resources required by the machine or program are relatively scattered. A data resource may be used in the source code, configuration file, and XML configuration file. If you want to change this data resource, then all the used places need to be modified. , otherwise it will cause varying degrees of processing errors

Moreover, the correlation between different data resources is not strong. For example, in online games, when a machine or program needs to find information about a non-player-controlled character (NPC), it often needs to find out which scene the NPC appears in. At this time , because the data resources are scattered in different files, it will be difficult to establish a link relationship for them. Even if the function is correct, the complexity is relatively large, and the search process will have a negative impact on the operating efficiency of the machine or program

These factors have increased the difficulty of manual maintenance of existing data resources

Images