Repository Source File Automation for Consistent Configuration Changes
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Solution Overview
Problem
Current software development practices require manual implementation of configuration changes across numerous files, leading to increased deployment time and higher likelihood of bugs due to tedious and time-consuming manual processes.
Innovation Solution
An automated system applies predefined checks to source code files in repositories, generating differential output and requesting changes through pull requests, with language-neutral execution and load scaling to manage thousands of repositories efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual implementation of configuration changes is used, then flexibility and control are maintained, but deployment time increases and bug likelihood increases
Solution Approach 1:
The system performs self-service by automatically detecting configuration changes required in repository files and applying them without human intervention. The automated configuration system reads the configuration file, identifies necessary modifications across multiple files, and executes the changes autonomously, eliminating the need for manual implementation while ensuring consistency and reducing errors.
Solution Approach 2:
The patent replaces the mechanical manual process of configuration changes with an automated computational system. Instead of manually editing files and managing configurations, the system uses automated tools to parse configuration files, generate required modifications, and apply changes across repositories, substituting human manual operations with automated software processes.
2Productivity
If manual configuration changes are implemented across numerous files, then precise control over each change is maintained, but productivity decreases
Solution Approach 1:
The system segments the configuration change process into distinct automated steps: reading the configuration file, analyzing required modifications, generating change scripts, and applying changes to individual files. This segmentation allows the complex task of modifying numerous files to be broken down into manageable, automated operations that can be executed systematically without manual intervention.
Solution Approach 2:
The automated configuration system provides multi-functionality by handling various configuration change scenarios through a single unified process. It can modify different types of files (build files, dependency files, configuration files), support multiple programming languages, and manage various aspects of repository configuration, all through one automated system that replaces multiple manual operations.
3Stability of the object's composition
If centralized product configuration changes are enforced, then consistency across the system is improved, but the complexity of modifying numerous files increases
Solution Approach 1:
The system introduces an intermediary automated configuration management layer between the centralized configuration decisions and the individual repository files. This intermediary automatically translates high-level configuration requirements into specific file modifications, managing the complexity of coordinating changes across numerous files while ensuring consistency with the centralized configuration goals.
Solution Approach 2:
The system performs preliminary actions by pre-processing the configuration file to identify all required changes before actual file modifications begin. It generates a complete modification plan, validates the changes, and prepares all necessary updates in advance, ensuring that when changes are applied, they maintain configuration consistency across all files without ad-hoc modifications.
Data Source
AI summary
In an embodiment, a method comprises accessing a first computer program source code file from among a plurality of files in a computer program source code repository; applying a first check to the first source code file, from among a plurality of stored checks, each of the checks comprising a set of expected source code instructions; determining whether applying the first check results in generating differential output in the repository, and in response thereto, requesting the repository to initiate a change request in relation to the first source code file, the change request comprising metadata relating to the expected source code instructions; repeating the applying and the determining, for all other checks in the plurality of stored checks; repeating the accessing, the applying and the determining, for all other files in the plurality of files.