Production-Ready Attribute Templates for Cross-Environment Deployment
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Solution Overview
Problem
Existing software development processes require multiple re-implementations of attribute logic in different environments, leading to human errors and inefficiencies, particularly in transitioning from development to production environments.
Innovation Solution
A computing system with an attribute development system that uses production-ready programming languages and templates, along with data layouts, to create and manage attributes directly compatible with production environments, eliminating the need for re-coding and reducing errors through metadata analysis and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If attribute logic is re-implemented multiple times in different program environments (SAS, electronic word processing, spreadsheet programs, declarative tools), then the attribute can be adapted to various development stages, but human errors increase and functionality/efficiency deteriorate
Solution Approach 1:
The patent applies preliminary action by creating a standardized attribute logic template in the declarative development environment before deployment to production. This template includes pre-defined data structures, validation rules, and processing logic that are prepared in advance and automatically translated to production-ready code, eliminating the need for manual re-implementation in different environments and preventing human errors.
Solution Approach 2:
The patent utilizes parameter changes by transforming attribute definitions from high-level declarative specifications to low-level production code through automated code generation. The system changes parameters such as data formats, processing routines, and validation criteria automatically based on the target environment, maintaining consistency while adapting to different deployment contexts without manual intervention.
2Adaptability or versatility
If attribute logic is manually re-coded in different environments, then customization for each environment is achieved, but development time and complexity increase
Solution Approach 1:
The patent applies copying by creating reusable attribute logic templates that can be copied from the declarative development environment to production environments. These templates contain standardized logic that is automatically instantiated and adapted to different environments through code generation, eliminating the need to manually re-code attributes for each environment while maintaining environment-specific customization through configuration parameters.
Solution Approach 2:
The patent implements universality by designing a unified attribute definition framework that serves multiple environments simultaneously. The declarative attribute templates are environment-agnostic and can be automatically translated to various target environments (production, testing, development), making the same attribute logic universally applicable across different contexts without requiring separate implementations.
3Productivity
If multiple re-implementations of attribute logic are performed, then environment-specific optimization is possible, but the number of steps and device complexity increase
Solution Approach 1:
The patent extracts the essential attribute logic from environment-specific implementations and isolates it in a separate declarative template layer. This extracted core logic contains only the essential processing rules and data transformations, which are then automatically applied to different environments through code generation, eliminating the need for multiple manual re-implementations and reducing development steps while maintaining environment optimization capability.
4Adaptability or versatility
If attribute logic is re-implemented across different program environments, then broader compatibility is achieved, but the risk of human error and functional inconsistency increases
Solution Approach 1:
The patent implements feedback by establishing an automated validation mechanism that checks attribute logic consistency across different environments. The system generates test cases from the declarative templates and automatically verifies that the produced code maintains logical equivalence with the original specifications, providing immediate feedback on any deviations and ensuring logic consistency is preserved across environment translations.
Data Source
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AI summary
In some aspects, a computing system can determine a set of attributes based on analyzing input data using attribute templates written in a production-ready programming language. The computing system can generate attribute definitions for the set of attributes using the attribute templates and deploy the attribute definitions for the set of attributes to a production environment of a software program. The software program is written in a programming language compatible with the production-ready programming language. The computing system can monitor the performance of the set of attributes in the production environment of the software program and cause the attribute definitions of the plurality of attributes to be modified based on the monitoring.