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Thread safety first

crewaiinc/crewai
Based on 3 comments
Python

When implementing features that may run concurrently, always ensure thread safety using appropriate synchronization mechanisms: 1. Use thread-safe context variables for isolating execution contexts:

Concurrency Python

Reviewer Prompt

When implementing features that may run concurrently, always ensure thread safety using appropriate synchronization mechanisms:

  1. Use thread-safe context variables for isolating execution contexts:
    # Good: Using contextvars-based solutions for thread isolation
    ctx = baggage.set_baggage(...)  # Uses contextvars internally for thread safety
    
  2. Protect shared mutable state with locks:
    # Good: Adding locks to prevent race conditions
    _lock: Lock = threading.Lock()
       
    def singleton_method(self):
        with self._lock:
            # Access or modify shared state safely
    
  3. Implement thread-based timeouts efficiently:
    # Better: Simple thread-based timeout pattern
    thread = threading.Thread(target=target, daemon=True)
    thread.start()
    thread.join(timeout=timeout)
       
    if thread.is_alive():
        # Handle timeout case
    

These patterns help prevent hard-to-debug race conditions, ensure consistent behavior in concurrent environments, and make code more maintainable by clearly indicating thread safety considerations.

3
Comments Analyzed
Python
Primary Language
Concurrency
Category

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