Job-to-Script Conversion for Data Storage Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data storage system management applications require manual effort to create and execute scripts for data storage management operations, which can be complex and prone to human error, and lack automation for converting jobs into scripts.
Innovation Solution
A method and system that utilize a graphical user interface (GUI) to create jobs with tasks, store job information in an application database, and generate code modules or scripts in target scripting languages, allowing for automated execution of data storage management operations by converting tasks into scripts that can invoke REST API calls through a scripting library.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual effort is used to create and execute scripts for data storage management operations, then flexibility and control are maintained, but complexity and error-proneness increase
Solution Approach 1:
The patent introduces an intermediary conversion system that translates between job definitions (user-friendly format) and script code (executable format). This intermediary layer automates the conversion process, reducing manual errors while managing complexity through structured translation rules and provider mechanisms.
Solution Approach 2:
The system enables self-service automation where the conversion mechanism automatically generates executable scripts from job definitions without requiring manual intervention. The providers and conversion processes operate autonomously to transform high-level job descriptions into low-level executable code, reducing human error while maintaining controlled complexity.
2Productivity
If automated conversion from jobs to scripts is implemented, then productivity and error reduction are achieved, but system complexity increases
Solution Approach 1:
The conversion system is segmented into distinct components: job definition parsers, provider interfaces, conversion engines, and script generators. Each component handles specific aspects of the conversion process, improving productivity through specialized processing while managing complexity through modular architecture and clear separation of concerns.
Solution Approach 2:
The conversion mechanism is designed as a universal system that can handle multiple job types and generate scripts in various formats through a single integrated platform. The provider architecture allows multiple conversion strategies to coexist, enabling the system to process different job definitions through a common framework, thus improving productivity without proportionally increasing complexity.
3Adaptability or versatility
If multiple providers convert different task types to scripts, then versatility and adaptability improve, but system complexity increases
Solution Approach 1:
The system manages multiple providers by parameterizing their registration and selection through standardized interfaces. Each provider is registered with specific parameters indicating supported task types and target script formats, allowing the system to dynamically select appropriate providers based on job requirements. This parameter-based management enhances versatility while controlling complexity through consistent registration and selection mechanisms.
Data Source
AI summary
Techniques for performing management operations may include: creating a job using a graphical user interface (GUI) of an application, wherein the job includes at least one task and the job performs a first management operation including the at least one task; storing first information that describes the job in an application database for the application; and performing first processing that generates a code module for the job, wherein said first processing uses the first information from the application database. The code module may be a script written in a target script language. Multiple providers may converts different types of tasks to scripts. The providers may register prior to performing the first processing. Registering may include each provider declaring each type of task the provider converts to a specified target scripting language. The task types may be organized in a hierarchy of classes or categories.