Intelligent access API (Application Program Interface) generation method, system and equipment and medium

Through the dynamic drag and drop interface and Transformer model combined with SQL stitching tools, the full process automation from user-defined parameters to standardized API output is achieved, solving the problems of low efficiency, insufficient flexibility and low resource utilization of traditional data acquisition methods, and improving the efficiency of data acquisition and the stability of the system.

CN120447883APending Publication Date: 2025-08-08安徽玩虎信息技术有限公司
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Patent Information

Application Number
CN202510519441.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-24
Publication Date
2025-08-08

AI Technical Summary

Technical Problem

Traditional data acquisition methods are inefficient, lack of flexibility, difficult to integrate multi-source data and low resource utilization, making it difficult to meet the needs of modern enterprises for rapid response and efficient processing.

Method used

By generating a dynamic drag and drop interface based on user role information, Transformer's dual-channel neural network model analyzes user intentions, and combines SQL splicing tools and Serverless workflows to achieve full process automation from user-defined parameters to standardized API output.

Benefits of technology

It significantly improves the efficiency and flexibility of data acquisition, reduces technical thresholds, optimizes resource utilization, realizes unified query and management of cross-origin data, and improves the accuracy of data acquisition and system stability.

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Abstract

The invention discloses an intelligent access API generation method, system and device and a medium, and the method specifically comprises the steps: generating a dynamic dragging interface based on user role information, and obtaining function access parameters customized by a user through the dynamic dragging interface; according to semantic features and operation sequences in historical user interaction data, user intentions are analyzed, and target data topic logic is generated in combination with function access parameters; converting the subject logic of the target data into an executable query statement by utilizing an SQL splicing tool, and recommending an index optimization scheme to a database engine based on a high-frequency condition and field combination in a historical query mode; and distributing the optimized executable query statements to Serverless workflow nodes adapted to different query engines for execution, and packaging returned data into a standardized API (Application Program Interface) for output. According to the method and the device, full-process automation from parameter customization by a user to standardized API output is realized, and the efficiency and the flexibility of data acquisition are remarkably improved.
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