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Consider use of Singleton patterns (e.g. PyModuleLoader
, DependencyFactory
, and OpenAIAutomataAgentToolkitRegistry
).
#123
Labels
enhancement
New feature or request
Issue:
We have identified several key classes in our codebase (
PyModuleLoader
,DependencyFactory
,OpenAIAutomataAgentToolkitRegistry
) that have been designed as singletons. While singleton design pattern ensures a single instance of a class and global point access to that instance, it's also widely considered as an anti-pattern due to its global state, tight coupling, and hard-to-test nature.A thorough investigation of the use of Singleton patterns across the codebase should be conducted to determine if they are indeed the best choice in each case and if not, alternatives should be proposed and implemented.
Implementation:
The first step is to locate all classes using Singleton patterns across the codebase, particularly focusing on
PyModuleLoader
,DependencyFactory
, andOpenAIAutomataAgentToolkitRegistry
. We need to analyze the specific usage of these classes, and evaluate if the Singleton pattern is the best fit in each case.Potential considerations to take into account:
For classes where Singleton may not be the best fit, propose alternative designs. These could include refactoring towards the factory pattern, service objects, or dependency injection, among others.
Points to consider:
Refactoring Impact: Ensure to thoroughly analyze the impact of refactoring the singletons, considering both immediate and future needs of the system.
Backward Compatibility: Refactoring should not break the current functionality of the system. Adequate measures should be taken to maintain backward compatibility.
Performance: The refactoring should not negatively affect the system's performance. It is advisable to benchmark performance before and after refactoring.
Testing: Thorough testing should be performed to ensure the system's performance and reliability. New unit tests should be written for the new implementations and integration tests should be updated to reflect the changes.
Tasks:
As always, don't hesitate to ask if you have any questions or need further clarification. Your contributions to this project are highly valued!
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