Fix CrewBase decorator linting errors when accessing self.agents or self.tasks

[devin-ai-integration]

Fixes #2263 - CrewBase being a decorator causes linting errors when accessing self.agents or self.tasks. This PR adds properties to the wrapped class to make these attributes accessible to linters.

Link to Devin run: https://app.devin.ai/sessions/4285473e65fe4acbbf5ebd5fae58032b

[devin-ai-integration]

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[joaomdmoura]

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

Code Review Comment for PR #2264

Overview

This PR addresses linting errors related to the CrewBase decorator, specifically when accessing self.agents and self.tasks. Two files have been modified:

1. src/crewai/project/crew_base.py
2. tests/test_crewbase_linting.py (new file)

1. crew_base.py Analysis

Positive Aspects

• Effective use of property decorators for managing access to agents and tasks, which improves encapsulation.
• Clear and concise documentation in property docstrings enhances code readability.
• Proper type handling in the wrapper class suggests a strong understanding of Python's data structures.

Issues and Suggestions

1. Redundant Class Level Variables

   • Current Code:

     _agents = []
     _tasks = []
     
     def __init__(self, *args, **kwargs):
         self._agents = []
         self._tasks = []

   • Suggestion: Remove redundant class-level variables since they are initialized in __init__:

     def __init__(self, *args, **kwargs):
         self._agents = []
         self._tasks = []

2. Missing Type Hints for Properties

   • Current Code:

     @property
     def agents(self):
         return self._agents

   • Suggestion: Adding type hints for better clarity:

     from typing import List
     
     @property
     def agents(self) -> List[Agent]:
         """Returns the list of agents for this crew."""
         return self._agents

3. Validation in Setters

   • Current Code:

     @agents.setter
     def agents(self, value):
         self._agents = value

   • Suggestion: Include type validation to ensure data integrity:

     @agents.setter
     def agents(self, value: List[Agent]) -> None:
         if not isinstance(value, list):
             raise TypeError("Agents must be provided as a list")
         self._agents = value

2. test_crewbase_linting.py Analysis

Positive Aspects

• High test coverage for new functionality focusing on linting validation.
• Use of pytest fixtures demonstrates a solid understanding of testing best practices.

Issues and Suggestions

1. Enhancement of Test Configuration

   • Current Code:

     agents_config = {}
     tasks_config = {}

   • Suggestion: Implement a fixture setup:

     @pytest.fixture(autouse=True)
     def setup(self):
         self.agents_config = {}
         self.tasks_config = {}

2. Edge Case Handling

   • Current Test:

     def test_crewbase_linting():
         crew_instance = TestCrewBaseLinting()
         crew_obj = crew_instance.crew()

   • Suggestion: Add additional test cases for robustness:

     def test_crewbase_linting():
         crew_instance = TestCrewBaseLinting()
         
         # Normal operation
         crew_obj = crew_instance.crew()
         assert len(crew_instance.agents) > 0
         
         # Test empty crew
         crew_instance._agents = []
         assert len(crew_instance.agents) == 0
         
         # Test invalid assignment
         with pytest.raises(TypeError):
             crew_instance.agents = "invalid"

3. Documentation Improvements

   • Current Code:

     @agent
     def agent_one(self) -> Agent:

   • Suggestion: Improve method docstrings for clarity:

     @agent
     def agent_one(self) -> Agent:
         """
         Creates a test agent for validation purposes.
         
         Returns:
             Agent: A configured test agent instance
         """
         return Agent(
             role="Test Agent",
             goal="Test Goal",
             backstory="Test Backstory"
         )

General Recommendations

1. Error Handling

   • Implement error handling during configurations loading in crew_base.py.

2. Documentation

   • Extend docstrings in both files for clarity on functions and classes.

3. Testing

   • Include more edge cases and performance tests in the test suite.

4. Type Safety

   • Incorporate complete type hints throughout the codebase and consider runtime type checking for critical operations.

Overall, the proposed changes significantly enhance the code's maintainability and improve reliability in production scenarios. Your work on this PR is commendable, and with these suggestions, we can further improve its quality.