GUI Development Environment Pipeline Code Block Execution
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Solution Overview
Problem
Existing development environments, such as Jupyter Notebook or Jupyter Lab, face issues where modifying code blocks requires restarting the entire process, and the structure between code blocks is difficult to comprehend, leading to inefficiencies in collaboration and explanation.
Innovation Solution
A method and computing device that implement a Graphical User Interface (GUI) for a development environment, allowing users to set and connect code blocks through pipelines, enabling partial execution and reuse of execution data from cache, and facilitating the display of execution relationships and results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If code blocks are executed in sequence in existing development environments, then execution simplicity is maintained, but time consumption increases when modifications require complete process restart
Solution Approach 1:
The patent divides the code into independent executable blocks that can be selected and executed individually rather than requiring sequential execution of all code. This segmentation allows users to execute only the modified blocks, eliminating the need to restart the entire process when changes are made.
Solution Approach 2:
The patent introduces dynamic execution control where the execution order and scope can be adjusted based on dependencies between blocks. The system can adaptively determine which blocks need to be re-executed based on modifications, optimizing the execution process to minimize time consumption while maintaining operational simplicity.
2Speed
If code blocks are executed independently without connection tracking, then execution speed is maintained, but difficulty in recognizing structure increases
Solution Approach 1:
The patent introduces an intermediary mechanism that tracks and records connection relationships between code blocks without interfering with their independent execution. This intermediary layer maintains metadata about dependencies and relationships, enabling users to understand the overall structure while preserving the speed benefits of independent execution.
Solution Approach 2:
The patent adds a dimensional layer of connection tracking that operates separately from the execution process. By maintaining relationship information in a separate structural dimension, the system can display code block connections and structure without adding overhead to the actual execution speed.
3Reliability
If entire process is restarted to see results after modification, then result accuracy is ensured, but productivity decreases
Solution Approach 1:
The patent performs preliminary tracking of dependencies and connections between code blocks before execution. This preliminary action enables the system to automatically determine the minimal set of blocks that need to be re-executed after modifications, ensuring result accuracy without requiring complete process restart and thus maintaining productivity.
Solution Approach 2:
The patent changes the execution parameter from 'all blocks must be re-executed' to 'only affected blocks need re-execution' based on dependency analysis. This parameter change maintains the reliability of results by ensuring all necessary blocks are re-executed while significantly improving productivity by avoiding unnecessary re-executions of unchanged blocks.
4Productivity
If code blocks are executed without connection relationship tracking, then execution efficiency is maintained, but time and cost increase for explanation and collaboration
Solution Approach 1:
The patent introduces an intermediary tracking mechanism that records connection relationships between code blocks without affecting execution efficiency. This intermediary layer provides the necessary information for explanation and collaboration by displaying how blocks are connected and depend on each other, while maintaining the speed benefits of efficient execution.
Solution Approach 2:
The patent implements feedback mechanisms that provide connection relationship information to users during the execution process. This feedback enables better explanation and collaboration by showing how code blocks interact, while the system continues to execute efficiently by using this information only for display and dependency analysis, not for execution overhead.
Data Source
AI summary
Disclosed is a method performed by a computing device for implementing a Graphical User Interface (GUI) providing a development environment, the method including: setting, by a computing device, a plurality of code blocks; designating two or more execution target blocks among the plurality of code blocks; constructing one or more pipelines defining a relationship between the two or more execution target blocks and connecting the two or more execution target blocks; and executing at least some of the two or more execution target blocks based on the connection relationship of the one or more pipelines.