File analysis method and device, electronic equipment and computer readable medium

Abstract

The embodiment of the invention discloses a file analysis method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises the steps of obtaining a to-be-analyzed file set; performing format conversion on each to-be-analyzed file in the to-be-analyzed file set to generate structured to-be-analyzed information, and obtaining a structured to-be-analyzed information set; analyzing each piece of structured to-be-analyzed information in the structured to-be-analyzed information set to generate to-be-stored information groups, and obtaining a to-be-stored information group set; determining a warehousing priority corresponding to each to-be-warehoused information group in the to-be-warehoused information group set to obtain a warehousing priority set; and according to the warehousing priority set, storing the to-be-warehoused information groups in the to-be-warehoused information group set to a target database. Therefore, analysis and storage of the unstructured file are realized, and the processing efficiency of the bidding file is improved.

Description

technical field [0001] Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a file parsing method, apparatus, electronic device, and computer-readable medium. Background technique [0002] In engineering construction and other fields, it is often necessary to process a large number of unstructured documents (for example, bidding documents). At present, when the bidding documents are operated, the usual method is to manually process the bidding documents in the form of unstructured documents. [0003] However, when the above method is adopted, there are often the following technical problems: [0004] First, in the prior art, the bidding documents are often stored directly in the database. Since the bidding documents are often unstructured documents, it is often necessary to process the bidding documents manually, which reduces the processing efficiency of the bidding documents; [0005] Second, bidding documents are ofte...

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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