Device Configuration Parsing with Unified Data Models
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Solution Overview
Problem
Existing systems face challenges in parsing device configurations from diverse vendors due to varying API formats, requiring specialized parsing logic, complex batch processing, and maintaining feature parity, with tools like Antlr and Jolt having limitations in scalability and efficiency.
Innovation Solution
A simplified datamodel-based approach using REST API responses for parsing device configurations, involving a processor-implemented method that transforms vendor-specific formats into a common domain object model, enhances data with metadata and unique identifiers, and implements back-off strategies to improve performance and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If Antlr is used for configuration parsing, then parsing capability is provided, but system complexity and learning curve increase
Solution Approach 1:
The patent introduces an intermediary layer (the parsing system with standardized data models and configuration files) between the diverse vendor APIs and the target application. This intermediary handles the complexity of multiple API formats, allowing applications to interact with a unified interface rather than dealing with each vendor's proprietary format directly.
Solution Approach 2:
The system implements universal data models and standardized configuration formats that can handle multiple vendor-specific APIs through a single unified interface. The parsing system serves multiple functions: parsing different vendor formats, validating configurations, and providing a consistent data structure to applications, thereby reducing the need for vendor-specific parsing logic.
2Ease of manufacture
If Jolt library is used for JSON transformation, then transformation capability is provided, but handling complex data structures requires custom logic increasing development effort
Solution Approach 1:
The patent segments the configuration parsing process into distinct, manageable components: data model definition, configuration file parsing, validation rules, and transformation logic. Each component is independently configurable and can be developed, tested, and maintained separately, reducing the complexity of handling complex data structures.
Solution Approach 2:
The system uses configurable parameters and metadata in the data models to automatically handle complex transformations. By defining field types, relationships, and validation rules as configurable parameters, the system adapts to different data structures without requiring custom logic for each case, thereby reducing development effort.
3Measurement precision
If specialized parsing logic is developed for each vendor's API format, then accurate parsing is achieved, but development time and maintenance burden increase
Solution Approach 1:
The patent implements universal data models and standardized parsing mechanisms that can accurately parse multiple vendor-specific API formats through a single unified system. The data models are designed to be vendor-agnostic while maintaining the ability to represent vendor-specific features, thereby achieving parsing accuracy without requiring separate development for each vendor.
Solution Approach 2:
The system employs dynamic configuration loading and adaptive parsing logic that can automatically adjust to different vendor formats based on runtime configuration. This dynamic approach allows the system to maintain high parsing accuracy for various vendors while using a single codebase, significantly reducing development time and maintenance burden compared to static vendor-specific implementations.
4Reliability
If batch processing and pagination handling are implemented for large datasets, then data completeness is improved, but system complexity and development timeline extend
Solution Approach 1:
The patent segments large datasets into manageable batches with proper pagination handling. The system processes data in discrete units (pages or batches) with clear start and end points, allowing complete data retrieval without overwhelming system resources. This segmentation approach ensures data completeness while maintaining manageable system complexity through standardized batch processing interfaces.
Data Source
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AI summary
An embodiment herein provides a method and a system for parsing device configurations using a simplified datamodel-based approach. The method includes (i) receiving a parse request from one or more sources, (ii) retrieving one or more data models and respective one or more configurations from a resource, (iii) executing communications with a user device using commands retrieved from a command repository by analyzing the retrieved one or more data models, (iv) transforming a response into parsed data by analyzing grammar configuration, (v) enhancing the parsed data by analyzing enricher configuration, and (vi) framing the enhanced data into an output response, thereby parsing device configurations.