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- Move get_auth_token() call inside try-catch block in TraceBatchManager.__init__ - This allows graceful handling of AuthError when no authentication token is present - Crews can now work without authentication by using ephemeral batches - Add test to verify TraceBatchManager handles missing auth gracefully - Add standalone test script that confirms the fix works correctly Fixes issue where recent changes broke previously running crews due to mandatory authentication in the tracing system. Co-Authored-By: João <joao@crewai.com>
85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for issue #3559 - TraceBatchManager authentication handling
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"""
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import sys
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sys.path.insert(0, '/home/ubuntu/repos/crewAI/src')
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def test_tracing_auth_issue():
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"""Test that tracing authentication issue is fixed"""
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try:
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from crewai.events.listeners.tracing.trace_batch_manager import TraceBatchManager
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from crewai.cli.authentication.token import AuthError
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from unittest.mock import patch
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print("Test 1: TraceBatchManager creation without authentication")
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with patch(
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"crewai.events.listeners.tracing.trace_batch_manager.get_auth_token",
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side_effect=AuthError("No token found, make sure you are logged in")
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):
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batch_manager = TraceBatchManager()
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print(f"✓ TraceBatchManager created successfully with empty API key: '{batch_manager.plus_api.api_key}'")
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batch = batch_manager.initialize_batch({"user_id": "test"}, {"crew_name": "test"})
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if batch is not None:
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print(f"✓ Batch initialized successfully: {batch.batch_id}")
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else:
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print("✗ Batch initialization returned None")
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return False
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except Exception as e:
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print(f"✗ TraceBatchManager test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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try:
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from crewai import Agent, Crew, Task, LLM
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print("\nTest 2: Crew creation without authentication")
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with patch(
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"crewai.events.listeners.tracing.trace_batch_manager.get_auth_token",
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side_effect=AuthError("No token found, make sure you are logged in")
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):
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agent = Agent(
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role="Test Agent",
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goal="Complete a simple task",
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backstory="A test agent for reproducing the bug",
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llm=LLM(model="gpt-4o-mini", api_key="fake-key")
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)
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task = Task(
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description="Say hello world",
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expected_output="A greeting message",
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agent=agent
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)
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crew = Crew(
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agents=[agent],
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tasks=[task],
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verbose=False
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)
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print("✓ Crew created successfully without authentication errors")
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except Exception as e:
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print(f"✗ Crew creation test failed: {e}")
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import traceback
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traceback.print_exc()
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return False
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return True
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if __name__ == "__main__":
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print("Testing TraceBatchManager authentication handling...")
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success = test_tracing_auth_issue()
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if not success:
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print("\nFAILED: Issue #3559 still exists")
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exit(1)
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else:
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print("\nPASSED: Issue #3559 appears to be fixed")
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