Business Data Course Management via API Extraction Rules
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Solution Overview
Problem
Conventional business process management systems are rigid and primarily rely on current business data, making it difficult to record and search for relevant operations (data courses) that determine branch correlations effectively.
Innovation Solution
A business data course management system and method that involves a server and electronic device connected through APIs, where the server extracts and creates records of upstream and downstream business data types and identifiers based on predefined extraction rules, enabling efficient creation and search of business data courses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional business process management systems are used, then current business data can be managed, but the system is rigid and cannot effectively record and search for relevant operations (data courses)
Solution Approach 1:
The patent segments the business process into discrete data courses by extracting upstream and downstream business data relationships from API calling information. Each API call is broken down into extractable components (upstream data type, upstream data identifier, downstream data type, downstream data identifier) that can be independently recorded and searched, transforming a rigid monolithic system into a flexible segmented structure.
Solution Approach 2:
The patent introduces an intermediary extraction rule mechanism that sits between the API calling information and the business data records. This intermediary layer (extraction rule) automatically translates API calls into structured business data course records, enabling the system to flexibly record operations without requiring rigid pre-definition of all possible business scenarios.
2Loss of information
If detailed extraction rules are implemented to capture upstream and downstream business data, then data course search capability is improved, but processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining extraction rules that map API identifiers to business data types and relationships. These extraction rules are prepared in advance, so when API calling information arrives, the system can automatically extract the required upstream and downstream business data information without complex real-time processing, reducing both information loss and processing complexity.
3Productivity
If automatic extraction of business data records from API calls is implemented, then efficiency of creating business data courses is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling the system to automatically extract and create business data course records from API calling information without manual intervention. The extraction rules autonomously identify upstream and downstream business data relationships, and the system automatically generates the corresponding business data records, improving productivity while keeping the automation logic contained within manageable extraction rules.
Data Source
AI summary
A business data course management system and a business data course management method are provided. An electronic device sends a first calling information corresponding to the first application programming interface (API) to a business data course management server. According to a first API identifier corresponding to the first API, the business data course management server loads a corresponding first extraction rule to extract a first upstream business data type information, a first upstream business data identifier, a first downstream business data type information, and a first downstream business data type identifier from the first calling information according to the first extraction rule. The business data course management server creates a first upstream business data record and creates a first downstream business data record.