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#!/usr/bin/env python3
"""
Integration test for next_check_in functionality in LifestyleSessionManager
"""
import json
from datetime import datetime, timedelta
from core_classes import LifestyleProfile, ChatMessage, LifestyleSessionManager
class MockAPI:
def generate_response(self, system_prompt: str, user_prompt: str, temperature: float = 0.3, call_type: str = "") -> str:
"""Mock API that returns realistic profile update responses"""
if call_type == "LIFESTYLE_PROFILE_UPDATE":
# Return a realistic profile update with next_check_in
return json.dumps({
"updates_needed": True,
"reasoning": "Patient completed first lifestyle session with good engagement",
"updated_fields": {
"exercise_preferences": ["upper body exercises", "seated exercises", "resistance band training"],
"personal_preferences": ["prefers gradual changes", "wants weekly check-ins initially"],
"session_summary": "First lifestyle session completed. Patient motivated to start adapted exercise program.",
"next_check_in": "2025-09-08",
"progress_metrics": {"initial_motivation": "high", "session_1_completion": "successful"}
},
"session_insights": "Patient shows high motivation despite physical limitations. Requires close monitoring initially.",
"next_session_rationale": "New patient needs immediate follow-up in 3 days to ensure safe program initiation and address any concerns."
})
return "Mock response"
def test_next_checkin_integration():
"""Test the complete next_check_in workflow"""
print("🧪 Testing Next Check-in Integration\n")
# Create mock components
api = MockAPI()
session_manager = LifestyleSessionManager(api)
# Create test lifestyle profile
profile = LifestyleProfile(
patient_name="Test Patient",
patient_age="52",
conditions=["Type 2 diabetes", "Hypertension"],
primary_goal="Improve exercise tolerance",
exercise_preferences=["upper body exercises"],
exercise_limitations=["Right below knee amputation"],
dietary_notes=["Diabetic diet"],
personal_preferences=["prefers gradual changes"],
journey_summary="Initial assessment completed",
last_session_summary="",
next_check_in="not set",
progress_metrics={}
)
# Create mock session messages
session_messages = [
ChatMessage(
timestamp="2025-09-05T10:00:00Z",
role="user",
message="I want to start exercising but I'm worried about my amputation",
mode="lifestyle"
),
ChatMessage(
timestamp="2025-09-05T10:01:00Z",
role="assistant",
message="I understand your concerns. Let's start with safe, adapted exercises.",
mode="lifestyle"
),
ChatMessage(
timestamp="2025-09-05T10:02:00Z",
role="user",
message="What exercises would be good for me to start with?",
mode="lifestyle"
)
]
print("📋 **Before Update:**")
print(f" Next check-in: {profile.next_check_in}")
print(f" Exercise preferences: {profile.exercise_preferences}")
print(f" Progress metrics: {profile.progress_metrics}")
print()
# Test the profile update with next_check_in
try:
updated_profile = session_manager.update_profile_after_session(
profile,
session_messages,
"First lifestyle coaching session",
save_to_disk=False
)
print("📋 **After Update:**")
print(f" ✅ Next check-in: {updated_profile.next_check_in}")
print(f" ✅ Exercise preferences: {updated_profile.exercise_preferences}")
print(f" ✅ Personal preferences: {updated_profile.personal_preferences}")
print(f" ✅ Progress metrics: {updated_profile.progress_metrics}")
print(f" ✅ Last session summary: {updated_profile.last_session_summary}")
print()
# Validate the next_check_in was set
if updated_profile.next_check_in != "not set":
print("✅ Next check-in successfully updated!")
# Try to parse the date to validate format
try:
check_in_date = datetime.strptime(updated_profile.next_check_in, "%Y-%m-%d")
today = datetime.now()
days_until = (check_in_date - today).days
print(f"📅 Next session in {days_until} days ({updated_profile.next_check_in})")
except ValueError:
print(f"⚠️ Next check-in format may be descriptive: {updated_profile.next_check_in}")
else:
print("❌ Next check-in was not updated")
except Exception as e:
print(f"❌ Error during profile update: {e}")
def test_different_checkin_scenarios():
"""Test different scenarios for next check-in timing"""
print("\n🎯 Testing Different Check-in Scenarios\n")
scenarios = [
{
"name": "New Patient",
"expected_days": 1-3,
"description": "First session, needs immediate follow-up"
},
{
"name": "Active Coaching",
"expected_days": 7,
"description": "Regular coaching phase, weekly check-ins"
},
{
"name": "Stable Progress",
"expected_days": 14-21,
"description": "Good progress, bi-weekly follow-up"
},
{
"name": "Maintenance Phase",
"expected_days": 30,
"description": "Established routine, monthly check-ins"
}
]
for scenario in scenarios:
print(f"📋 **{scenario['name']}**")
print(f" Expected timing: {scenario['expected_days']} days")
print(f" Description: {scenario['description']}")
print()
if __name__ == "__main__":
test_next_checkin_integration()
test_different_checkin_scenarios()
print("📋 **Summary:**")
print(" • Next check-in field successfully integrated into profile updates")
print(" • LLM determines optimal timing based on patient status")
print(" • Date format: YYYY-MM-DD for easy parsing")
print(" • Rationale provided for timing decisions")
print(" • Supports different follow-up intervals based on patient needs")
print("\n✅ Next check-in functionality fully integrated!") |