Integration Flow Node Drop Target Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current integration flow programs and rich graphical editing experiences fail to maintain the validity of node mappings when displaying drop targets, as they do not consider the different input sources for each node depending on its position in the flow, leading to invalid drop locations that can disrupt the integrity of the integration flow.
Innovation Solution
A computer-implemented method and system that analyzes the mappings of a selected node and the structure of the integration flow to identify valid drop points by determining which nodes are input nodes and ensuring that the node is moved to locations that maintain the validity of current mappings, by invalidating all drop points prior to the nearest input node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system displays all possible drop targets for node repositioning, then the ease of operation is improved, but the reliability deteriorates due to invalid drop locations that can disrupt mapping integrity
Solution Approach 1:
The system performs preliminary analysis of the integration flow structure and mapping dependencies before displaying drop targets. It identifies input nodes and traces mapping relationships in advance, pre-calculating which drop locations would be valid. This ensures that only drop targets that maintain mapping integrity are presented to the user, resolving the contradiction by filtering options beforehand rather than allowing all drops and then validating.
Solution Approach 2:
The system implements feedback mechanisms by analyzing the consequences of potential drop actions on mapping validity. When a user hovers over or selects a node for repositioning, the system provides feedback about which drop locations are valid based on the mapping structure analysis. This feedback loop prevents users from selecting invalid drop targets that would disrupt the integration flow, thus maintaining reliability while still providing ease of operation through guided repositioning.
2Reliability
If the system restricts drop targets to maintain mapping validity, then the reliability is improved, but the ease of operation worsens due to limited repositioning options
Solution Approach 1:
The system performs preliminary analysis of the integration flow structure and mapping dependencies before displaying drop targets. It identifies input nodes and traces mapping relationships in advance, pre-calculating which drop locations would be valid. This ensures that only drop targets that maintain mapping integrity are presented to the user, resolving the contradiction by filtering options beforehand rather than allowing all drops and then validating.
3Manufacturing precision
If the system analyzes mapping structure to determine valid drop points, then the manufacturing precision is improved, but the device complexity increases due to additional analysis requirements
Solution Approach 1:
The system segments the complex mapping analysis task into distinct components: identifying input nodes, tracing mapping relationships, analyzing drop target validity, and determining valid repositioning locations. By dividing the analysis into modular segments that can be executed independently and combined, the system achieves high precision in drop point determination while managing complexity through structured, reusable analysis components.
Data Source
AI summary
A method, system, and computer program product for determining valid drop targets for nodes within an integration flow using mapping that includes: identifying a first node, identifying one or more input nodes, where the one or more input nodes are nodes within an integration flow of the first node, analyzing a mapping of the first node, where the analyzing includes determining whether the mapping contains one or more inputs from the one or more input nodes, and in response to determining that the mapping contains one or more inputs from an input node of the one or more input nodes, identifying valid drop points for the first node using the input node.