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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>
104 lines
4.7 KiB
Python
104 lines
4.7 KiB
Python
"""Test script for complete email processing workflow"""
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from email_analysis_crew import EmailAnalysisCrew
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from response_crew import ResponseCrew
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from email_tool import EmailTool
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from mock_email_data import MockEmailThread
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import json
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def test_email_analysis(email_tool, analysis_crew, thread_id):
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"""Test comprehensive email analysis including similar threads and research"""
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print("\nAnalyzing email thread...")
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# Get thread context
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thread = email_tool.get_email_thread(thread_id)
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print(f"\nThread subject: {thread.subject}")
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# Find similar threads
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similar = email_tool.find_similar_threads(thread.subject)
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print(f"\nFound {len(similar)} similar threads")
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# Get sender history
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sender = thread.messages[0].from_email
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sender_info = email_tool.get_sender_history(sender)
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print(f"\nSender: {sender_info['name']} from {sender_info['company']}")
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print(f"Previous interactions: {sender_info['interaction_frequency']}")
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# Analyze with crew
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analysis_result = analysis_crew.analyze_email(thread_id)
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print(f"\nAnalysis Results:")
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print(f"Response needed: {analysis_result.get('response_needed', False)}")
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print(f"Priority: {analysis_result.get('priority', 'error')}")
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print(f"Decision factors:")
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context = analysis_result.get('analysis', {}).get('context', {})
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print(f"- Thread type: {context.get('thread_type', 'unknown')}")
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print(f"- Similar threads found: {analysis_result.get('similar_threads_found', 0)}")
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print(f"- Interaction frequency: {sender_info.get('interaction_frequency', 'unknown')}")
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print(f"- Urgency indicators: {context.get('urgency_indicators', False)}")
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print(f"- Conversation stage: {context.get('conversation_stage', 'unknown')}")
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return analysis_result
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def test_complete_workflow():
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"""Test the complete email processing workflow"""
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try:
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print("\nTesting Complete Email Processing Workflow")
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print("=========================================")
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# Initialize tools and crews
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email_tool = EmailTool()
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analysis_crew = EmailAnalysisCrew()
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response_crew = ResponseCrew()
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# Test 1: Process email requiring response (weekly interaction)
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print("\nTest 1: Processing email requiring response")
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print("------------------------------------------")
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thread_id = "thread_1" # Meeting follow-up thread from frequent contact
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analysis_result = test_email_analysis(email_tool, analysis_crew, thread_id)
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if analysis_result.get('response_needed', False):
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print("\nGenerating response...")
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response_result = response_crew.draft_response(thread_id, analysis_result)
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print("\nGenerated Response:")
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print(json.dumps(response_result.get('response', {}), indent=2))
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# Verify response matches context
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print("\nResponse Analysis:")
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print(f"Tone matches relationship: {response_result['response']['review_notes']['context_awareness']['relationship_acknowledged']}")
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print(f"Priority reflected: {response_result['response']['review_notes']['context_awareness']['priority_reflected']}")
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print(f"Background used: {response_result['response']['review_notes']['context_awareness']['background_used']}")
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else:
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print("\nNo response required.")
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# Test 2: Process email not requiring response (first-time sender)
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print("\nTest 2: Processing email not requiring response")
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print("----------------------------------------------")
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thread_id = "thread_3" # First-time contact
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analysis_result = test_email_analysis(email_tool, analysis_crew, thread_id)
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if analysis_result.get('response_needed', False):
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print("\nGenerating response...")
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response_result = response_crew.draft_response(thread_id, analysis_result)
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print("\nGenerated Response:")
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print(json.dumps(response_result.get('response', {}), indent=2))
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# Verify response matches context
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print("\nResponse Analysis:")
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context = analysis_result.get('analysis', {}).get('context', {})
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print(f"Thread type: {context.get('thread_type', 'unknown')}")
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print(f"Conversation stage: {context.get('conversation_stage', 'unknown')}")
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print(f"Response priority: {analysis_result.get('priority', 'unknown')}")
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else:
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print("\nNo response required - First time sender with no urgent context")
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print("\nWorkflow test completed successfully!")
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return True
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except Exception as e:
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print(f"Analysis error: {str(e)}")
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return False
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if __name__ == "__main__":
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test_complete_workflow()
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