Configuration-Driven Feed Loader Generation for Faster Repository Deployment
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Solution Overview
Problem
Current data loading interfaces to target repositories require manual coding and deployment, which is time-consuming and costly.
Innovation Solution
A system and method for automatically generating feed loader applications based on configuration details, allowing for the automated deployment of data loading applications to target repositories.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual coding and deployment is used for feed loader applications, then customization and reliability are improved, but development time and cost increase
Solution Approach 1:
The system performs preliminary actions by automatically generating the boilerplate code, project structure, and configuration files for feed loader applications before manual customization begins. This pre-generation of foundational elements reduces the time required for setup while maintaining the ability to customize critical components manually for reliability.
Solution Approach 2:
The patent introduces an intermediary automated generation system that acts as a mediator between the desired application functionality and the final deployed application. This intermediary tool generates the initial application framework, which then serves as a base for manual customization, thus reducing development time while preserving the ability to ensure reliability through careful manual review and adjustment of critical components.
2Reliability
If manual coding is used for feed loader applications, then application quality and security are improved, but development cost increases
Solution Approach 1:
The automated generation system performs preliminary actions by creating the foundational application structure, configuration files, and standard code components before manual development begins. This reduces the overall development effort and cost while maintaining quality through the use of pre-validated templates and the ability to manually review and customize critical security-sensitive portions of the application.
Solution Approach 2:
The system uses copying by generating applications based on proven templates and patterns from existing reliable feed loader implementations. These templates encapsulate best practices for security and quality, allowing rapid replication of high-quality applications at lower cost while still permitting manual customization when specific security or quality requirements demand unique solutions.
3Productivity
If automated generation is used for feed loader applications, then development time and cost are reduced, but customization flexibility may be limited
Solution Approach 1:
The patent applies segmentation by dividing the feed loader application into distinct modular components: automatically generated standard elements (project structure, configuration templates, boilerplate code) and manually customizable elements (business logic, security configurations, data transformations). This segmentation enables rapid automated generation of the framework while preserving full customization flexibility for the specific requirements of each implementation.
Solution Approach 2:
The system implements dynamics by creating a hybrid development approach where the application structure transitions from automatically generated static templates to manually customized dynamic components. The automated portion provides a consistent foundation, while manual customization allows the application to adapt and evolve to meet specific organizational requirements, thus balancing productivity with adaptability.
Data Source
AI summary
As described herein, a system, method, and computer program are provided for automatic generation of feed loader applications. An input defining configuration details for a target repository is received. The input is used to automatically generate an application configured to load data to the target repository. The application is deployed for use in loading data in one or more given data files to the target repository.