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- Add EmailState model for Flow state management - Create EmailProcessingFlow class with event-based automation - Update tools and crews for Flow integration - Add comprehensive Flow tests - Implement error handling and state tracking - Add mock implementations for testing This implementation uses CrewAI Flow features to create an event-based email processing system that can analyze emails, research senders, and generate appropriate responses using specialized AI crews. Co-Authored-By: Joe Moura <joao@crewai.com>
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
"""Test script for response crew functionality"""
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from response_crew import ResponseCrew
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from email_analysis_crew import EmailAnalysisCrew
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import json
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def test_response_crew():
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"""Test the response crew functionality"""
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try:
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# First get analysis results
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analysis_crew = EmailAnalysisCrew()
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analysis_result = analysis_crew.analyze_email("thread_1")
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if not analysis_result.get("response_needed", False):
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print("No response needed for this thread")
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return True
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# Initialize response crew
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response_crew = ResponseCrew()
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print("\nTesting response crew...")
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# Draft response
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result = response_crew.draft_response("thread_1", analysis_result)
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print("\nResponse Results:")
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print(f"Thread ID: {result['thread_id']}")
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if result.get("error"):
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print(f"Error: {result['error']}")
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return False
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print("\nContent Strategy:")
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print(json.dumps(result['strategy_used'], indent=2))
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print("\nFinal Response:")
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print(json.dumps(result['response'], indent=2))
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print("\nAll tests completed successfully!")
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return True
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except Exception as e:
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print(f"Error during testing: {str(e)}")
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return False
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if __name__ == "__main__":
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test_response_crew()
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