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"""
Test script for the new adaptive learning implementation.
"""
import asyncio
import sys
import os
from pathlib import Path
# Add the current directory to the Python path
current_dir = Path(__file__).parent
sys.path.insert(0, str(current_dir))
# Import the adaptive learning tools
from mcp_server.tools.learning_path_tools import (
start_adaptive_session,
record_learning_event,
get_adaptive_recommendations,
get_adaptive_learning_path,
get_student_progress_summary
)
async def test_adaptive_learning():
"""Test the new adaptive learning system."""
print("🧠 Testing New Adaptive Learning System")
print("=" * 50)
# Test 1: Start an adaptive session
print("\n1. Starting adaptive session...")
session_result = await start_adaptive_session(
student_id="test_student_001",
concept_id="algebra_linear_equations",
initial_difficulty=0.5
)
print(f"Session Result: {session_result}")
if session_result.get("success"):
session_id = session_result.get("session_id")
print(f"✅ Session started successfully: {session_id}")
# Test 2: Record some learning events
print("\n2. Recording learning events...")
# Record a correct answer
event_result1 = await record_learning_event(
student_id="test_student_001",
concept_id="algebra_linear_equations",
session_id=session_id,
event_type="answer_correct",
event_data={"time_taken": 25, "difficulty": 0.5}
)
print(f"Event 1 (correct): {event_result1}")
# Record an incorrect answer
event_result2 = await record_learning_event(
student_id="test_student_001",
concept_id="algebra_linear_equations",
session_id=session_id,
event_type="answer_incorrect",
event_data={"time_taken": 45, "difficulty": 0.5}
)
print(f"Event 2 (incorrect): {event_result2}")
# Record another correct answer
event_result3 = await record_learning_event(
student_id="test_student_001",
concept_id="algebra_linear_equations",
session_id=session_id,
event_type="answer_correct",
event_data={"time_taken": 20, "difficulty": 0.5}
)
print(f"Event 3 (correct): {event_result3}")
# Test 3: Get adaptive recommendations
print("\n3. Getting adaptive recommendations...")
recommendations = await get_adaptive_recommendations(
student_id="test_student_001",
concept_id="algebra_linear_equations",
session_id=session_id
)
print(f"Recommendations: {recommendations}")
# Test 4: Get adaptive learning path
print("\n4. Getting adaptive learning path...")
learning_path = await get_adaptive_learning_path(
student_id="test_student_001",
target_concepts=["algebra_basics", "linear_equations", "quadratic_equations"],
strategy="adaptive",
max_concepts=5
)
print(f"Learning Path: {learning_path}")
# Test 5: Get progress summary
print("\n5. Getting progress summary...")
progress = await get_student_progress_summary(
student_id="test_student_001",
days=7
)
print(f"Progress Summary: {progress}")
print("\n✅ All tests completed successfully!")
else:
print("❌ Failed to start session")
if __name__ == "__main__":
asyncio.run(test_adaptive_learning())
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