Skip to content
New issue

Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? # to your account

fix reset memory issue #2182

Merged
merged 3 commits into from
Feb 24, 2025
Merged

fix reset memory issue #2182

merged 3 commits into from
Feb 24, 2025

Conversation

bhancockio
Copy link
Collaborator

@bhancockio bhancockio commented Feb 20, 2025

@joaomdmoura
Copy link
Collaborator

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for PR #2182 - Memory Reset Fix

Overview

This pull request introduces changes to the _reset_all_memories method within crew.py, enhancing the way memory system attributes are accessed by using getattr(). This approach mitigates potential attribute access errors when memory systems have not been initialized, thus improving the robustness of the code.

Modified Code Analysis

The primary changes are as follows:

Original Code:

memory_systems = [
    ("short term", self._short_term_memory),
    ("entity", self._entity_memory),
    ("long term", self._long_term_memory),
    ("task output", self._task_output_handler),
    ("knowledge", self.knowledge),
]

Modified Code:

memory_systems = [
    ("short term", getattr(self, "_short_term_memory", None)),
    ("entity", getattr(self, "_entity_memory", None)),
    ("long term", getattr(self, "_long_term_memory", None)),
    ("task output", getattr(self, "_task_output_handler", None)),
    ("knowledge", getattr(self, "knowledge", None)),
]

Positive Aspects

  1. Error Handling Improvement: The use of getattr() with a default value prevents AttributeError exceptions when memory systems are not initialized, enhancing the stability of the function.
  2. Consistent Behavior: This modification ensures uniform access behavior across different memory systems, reducing the risk of inconsistent states.
  3. Adherence to Python Best Practices: The change aligns with the EAFP (Easier to Ask for Forgiveness than Permission) principle, promoting a common idiom in Python programming.

Suggestions for Improvement

  1. Add Type Hints:
    Incorporating type hints enhances code readability and facilitates static type checking. For example:

    def _reset_all_memories(self) -> None:
        """Reset all available memory systems."""
        memory_systems: List[Tuple[str, Optional[Any]]] = [
            ("short term", getattr(self, "_short_term_memory", None)),
            ("entity", getattr(self, "_entity_memory", None)),
            ("long term", getattr(self, "_long_term_memory", None)),
            ("task output", getattr(self, "_task_output_handler", None)),
            ("knowledge", getattr(self, "knowledge", None)),
        ]
  2. Implement Logging for Diagnostics:
    Adding logging can provide insights into which memory systems were accessed or reset:

    for name, system in memory_systems:
        if system is None:
            logger.debug(f"Memory system '{name}' not initialized")
        else:
            logger.debug(f"Resetting memory system: {name}")
  3. Extract Memory Systems Configuration:
    Defining a configuration list for memory systems can simplify modifications and improve readability:

    MEMORY_SYSTEMS_CONFIG = [
        ("short term", "_short_term_memory"),
        ("entity", "_entity_memory"),
        ("long term", "_long_term_memory"),
        ("task output", "_task_output_handler"),
        ("knowledge", "knowledge"),
    ]

Additional Recommendations

  • Documentation: Enhance the docstring of the _reset_all_memories method to specify behavior when memory systems are not initialized and document expected types.
  • Testing: Develop unit tests to cover scenarios where memory systems may be uninitialized, validate the reset behavior, and handle edge cases effectively.
  • Post-Reset Validation: Consider implementing checks to validate the states of memory systems following a reset, thus ensuring complete reset functionality.

Conclusion

The changes made in this pull request significantly enhance the robustness of the memory resetting functionality by safely handling potentially uninitialized attributes. The recommended improvements aim to foster better maintainability, readability, and observability of the code. The patch is approved with the suggested enhancements for further consideration.

Comment on lines +1281 to +1285
("short term", getattr(self, "_short_term_memory", None)),
("entity", getattr(self, "_entity_memory", None)),
("long term", getattr(self, "_long_term_memory", None)),
("task output", getattr(self, "_task_output_handler", None)),
("knowledge", getattr(self, "knowledge", None)),
Copy link
Collaborator

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

great work and thanks for sharing the loom

@bhancockio bhancockio merged commit 78797c6 into main Feb 24, 2025
4 checks passed
# for free to join this conversation on GitHub. Already have an account? # to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

[BUG] crewai reset-memories -a throws an error
3 participants