Code Generation for Flexible Functional Dependency Injection

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Solution Overview

Problem

Current methods for generating code are inadequate in delaying the injection of impure dependencies and facilitating flexible passing of inputs and outputs between functions, leading to limitations in function composition and manipulation.

Innovation Solution

A method and system for generating code that enables honest and flexible functional dependency injection, allowing for the delayed injection of impure dependencies and easy passing of inputs and outputs through the use of composition operators and processing devices, which analyze and modify the code to inject functions or their outputs as values for dependency parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If current code generation methods are used, then code can be generated quickly, but impure dependencies cannot be delayed to the last possible moment

Engineering Contradiction:

Improvetiming of dependency injectionVSAvoidflexibility in dependency injection

Core Design Contradiction:

Loss of timeVSAdaptability or versatility

Solution Approach 1:

The system dynamically determines when and how to inject dependencies based on function purity analysis. Impure dependencies are delayed until the last possible moment in the execution flow, while pure functions can be composed statically. This dynamic approach allows the code generation system to adapt the injection timing to each specific function's purity characteristics.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system performs preliminary analysis of function purity before code generation. By identifying which functions are pure and which are impure in advance, the system can plan the dependency injection strategy beforehand, delaying impure dependencies to the last possible moment while maintaining correct execution semantics.

Inventive Principle:

Principle #10Preliminary action

2Ease of operation

If current function composition techniques are used, then functions can be composed together, but inputs and outputs cannot be easily passed between functions at different levels

Engineering Contradiction:

Improveease of passing inputs and outputsVSAvoidcomplexity of function composition mechanism

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system implements a universal composition mechanism that handles both input passing and output propagation through the same dependency injection framework. The composition operator works uniformly across different function levels, providing a multi-functional solution that simplifies operation while managing complexity internally.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary composition operator that mediates between functions at different levels. This operator automatically handles the passing of inputs from higher-level functions to lower-level functions and the propagation of outputs back up the hierarchy, shielding users from the complexity of direct function composition.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If dependencies are injected early in the process, then functions can be defined with all required parameters, but flexibility in function composition is reduced

Engineering Contradiction:

Improvefunction parameter completenessVSAvoidfunction composition flexibility

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts dependency injection timing based on the composition context. Functions are defined with dependency parameters that can remain unresolved during composition, and the actual injection occurs dynamically at the last possible moment, ensuring both parameter completeness and composition flexibility.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system segments the dependency injection process into distinct phases: function definition phase (where dependencies are declared as parameters), composition phase (where functions are combined), and resolution phase (where impure dependencies are injected). This segmentation allows functions to be defined with complete parameter signatures while maintaining flexibility during composition.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS11074046B2Methods and systems for generating code to enable a honest/flexible functional dependency injection approach

Publication Date: 2021.07.27 MASSAD YACOUB ELIAS YACOUB

AI summary

Disclosed herein a method for generating code to enable a honest/flexible functional dependency injection approach. The method may include receiving, using a communication device, a composition code from a user device. The composition code contains a usage of a composition operator. The composition operator is associated with at least two functions. A first function of the at least two functions includes a dependency parameter. The method may include analyzing, using a processing device, the composition code. The method may include generating, using the processing device, a new code based on the analyzing. The new code enables the composition operator for injecting the second function or the output of the second function as a value for the dependency parameter in the first function. The injecting provides a resulting function. The method may include a step of transmitting, using the communication device, the new code to the user device.