File parsing method, device, electronic device and computer readable medium

Abstract

The embodiment of the disclosure discloses a file parsing method, device, electronic equipment and computer-readable medium. A specific implementation of the method includes: obtaining a set of files to be parsed; performing format conversion on each file to be parsed in the set of files to be parsed to generate structured information to be parsed to obtain a set of structured information to be parsed; Analyzing each structured information to be parsed in the structured information set to be parsed to generate a set of information sets to be stored, and obtaining a set of information sets to be stored; determining each set of information sets to be stored in the set of information sets to be stored The storage priority set corresponding to the storage priority is obtained; according to the storage priority set, the information group to be stored in the storage information group set is stored in the target database. Therefore, the parsing and storage of unstructured documents is realized, and the processing efficiency of bidding documents is improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and specifically relate to a file parsing method, device, electronic equipment, and computer-readable medium. Background technique [0002] In fields such as engineering construction, it is often necessary to process a large number of unstructured documents (eg, bidding documents). At present, when operating on bidding documents, a common method is to manually process the bidding documents in the form of unstructured documents by manual means. [0003] However, when the above method is adopted, the following technical problems often exist: [0004] First, the existing technology often stores the bidding documents directly in the database. Since the bidding documents are often unstructured documents, it is often necessary to manually process the bidding documents, which reduces the processing efficiency of the bidding documents; [0005] Second, bidding documents are...

AI Technical Summary

Problems solved by technology

[0004] First, the existing technology often stores the bidding documents directly in the database. Since the bidding documents are often unstructured documents, it is often necessary to manually process the bidding documents, which reduces the processing efficiency of the bidding documents;

[0005] Second, bidding documents are often stored in the database in a random order, so that high-priority bidding documents are often not backed up to the database in time, and when data is lost, it is impossible to retrieve the high-priority documents that should have been backed up Level bidding documents, resulting in the entire project schedule being affected

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