CLI Auto-Completion Using Multi-Condition Matching and Scoring
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Solution Overview
Problem
Traditional command line interface (CLI) auto-completion methods are inefficient as they require users to type a large part of a command before providing useful suggestions, especially for commands with long keywords, leading to increased typing effort and reduced user efficiency.
Innovation Solution
A command auto-complete assistant calculates scores for auto-complete suggestions based on priority weighting factors and sorts them for display, allowing users to access desired commands with fewer keystrokes by matching input text with the command set using prefix, substring, and subsequence conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional prefix-based auto-completion is used, then the system maintains simplicity in implementation, but users must type a large portion of long commands before receiving useful suggestions
Solution Approach 1:
The patent changes the matching parameters from simple prefix matching to multiple matching conditions including prefix, substring, and subsequence matching. This allows the system to provide relevant auto-completion suggestions earlier in the typing process, reducing the typing effort required while managing complexity through structured implementation
Solution Approach 2:
The patent segments the auto-completion process into distinct matching stages (prefix matching, substring matching, subsequence matching) and sorts suggestions based on multiple criteria. This segmentation allows the system to handle complex matching requirements while maintaining organized control over the suggestion generation process
2Measurement precision
If multiple matching conditions are implemented, then the relevance of auto-complete suggestions is improved, but the computational complexity increases
Solution Approach 1:
The patent introduces multiple matching parameters (prefix, substring, subsequence) and combines them with priority weighting factors to calculate relevance scores. This multi-parameter approach significantly improves suggestion relevance accuracy by considering various aspects of command structure and user intent
Solution Approach 2:
The patent pre-calculates and stores priority weighting factors for different commands and arguments before runtime. This preliminary action reduces the computational burden during actual auto-completion operations, as the system can quickly retrieve pre-computed weights rather than calculating them from scratch each time
3Productivity
If auto-complete suggestions are sorted by relevance scores, then the most useful suggestions are displayed first, but additional processing time is required
Solution Approach 1:
The patent pre-computes and stores priority weighting factors for commands and arguments in advance. During runtime, the system retrieves these pre-computed weights and combines them with current input context to quickly calculate relevance scores, minimizing additional processing time while maintaining accurate sorting
Solution Approach 2:
The patent applies different priority weighting factors to different parts of the command structure (commands versus arguments). This local quality approach allows the system to optimize sorting efficiency by applying appropriate weights to specific elements, improving overall processing speed while maintaining relevance accuracy
Data Source
AI summary
Systems and methods for improved command line interface (CLI) auto-completion. According to one embodiment, a command auto-complete assistant running on a network security device receives input text entered by a user via a command line interface (CLI) console associated with the network security device. A list of auto-complete suggestions is determined by the command auto-complete assistant by matching the input text with multiple commands of a command set based on a matching condition. A score is calculated by the command auto-complete assistant for each auto-complete suggestion in the list of auto-complete suggestions based on at least one priority weighting factor. The list of auto-complete suggestions is sorted by the command auto-complete assistant based on their respective scores. At least one of the sorted auto-complete suggestions is displaying by the command auto-complete assistant on the CLI console.