基于递归思想的钉钉行政审批数据解析算法研究

Research on DingTalk Administrative Approval Data Analysis Algorithm Based on Recursive Thinking

信息化办公环境下,钉钉行政审批数据留存在云端,造成本地数据的缺失,阻碍了开展相关统计分析业务,钉钉官方给出的功能和说明无法满足真实的数据分析和留存。通过样例分析确定原始数据结构,深入多层次结构拆解确定有效数据范围,多种逻辑方式最终确定采用递归方式解析原始数据。解析算法结果准确,有效,符合预期,并已在相关软件中发挥作用。

In the informationized office environment,DingTalk's administrative approval data is stored in the cloud,resulting in the lack of local data,which hinders the development of relevant statistical analysis services.The functions and instructions given by DingTalk cannot satisfy real data analysis and retention.The original data structure is determined through sample analysis,the multi-level structure is disassembled to determine the valid data range,and a variety of logic methods are finally determined to use recursive methods to parse the original data.The analytical algorithm results are accurate,effective,in line with expectations,and have already played a role in related software.