Automatic Session Prompt Detection for Network Devices
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Solution Overview
Problem
Network management applications face challenges in determining when a network device's command line interface (CLI) is ready to receive input commands, particularly due to the vast and dynamic nature of prompts from various vendors, which requires continuous maintenance and research efforts.
Innovation Solution
A server apparatus is used to automatically detect session prompts by analyzing responses to carriage returns and special characters, deriving regular expressions for static or dynamic prompts, and constructing an error handling dictionary to determine when the network device is ready for input commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network management applications manually detect CLI prompts using visual processing, then they can accurately determine when the device is ready for input commands, but this requires continuous maintenance and research efforts due to the vast and dynamic set of prompts from various vendors
Solution Approach 1:
The system enables automated self-detection of CLI prompts by having the network management application automatically send test commands and analyze device responses to identify prompt patterns, eliminating the need for manual visual processing and continuous maintenance of prompt databases
Solution Approach 2:
The system dynamically adapts to different prompt types by changing detection parameters based on the specific device and vendor, using configurable patterns and regular expressions that can be automatically adjusted rather than manually maintained
2Adaptability or versatility
If network management applications program to detect each prompt among a vast and dynamic set, then they can respond to all possible prompts, but this would require excessive research and development hours and cost
Solution Approach 1:
The system implements a universal prompt detection mechanism that works across multiple vendors and device types by using common CLI interaction patterns and response analysis, allowing one system to handle diverse prompts without requiring separate detection logic for each vendor
Solution Approach 2:
The system performs preliminary automated detection of prompt patterns during initial device connection, establishing detection rules in advance through automated experimentation rather than requiring pre-programmed knowledge of all possible prompts
3Productivity
If network management applications use automated detection methods, then they can reduce maintenance costs and improve efficiency, but they lack visual processing capability to understand when the device is ready for input commands
Solution Approach 1:
The system uses an intermediary approach by analyzing device responses and error messages as intermediate indicators that indirectly signal prompt readiness, compensating for the lack of visual processing through automated pattern recognition in text responses
Data Source
AI summary
Embodiments provide systems, methods, and computer program products for network management application to automatically determine a session prompt for a network device and perform error handling. After logging in to a network device, the network management application records the first session prompt response. The network management application sends a series of empty carriage returns and random characters and records the session prompt responses. The network management application compares the responses and determines whether the prompt is a static or a dynamic prompt based on the results. The network management application elicits error responses from the network device by sending additional random characters and records the results in an error handling dictionary. The error handling dictionary is used later when running user-provided commands, enabling a determination of whether a command executed successfully.