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#!/usr/bin/env python3
"""
Test script for DAG integration in DART-LLM-Multi-Model
"""
from dag_visualizer import DAGVisualizer
from json_processor import JsonProcessor
import json
def test_dag_integration():
"""Test the DAG integration with sample task data"""
print("Testing DAG integration...")
# Sample response with task data (similar to what the model might generate)
sample_response = """
Based on your command, here are the robot tasks:
{
"tasks": [
{
"task": "move_excavator_to_soil_area",
"instruction_function": {
"name": "move_to_position",
"robot_ids": ["robot_excavator_01"],
"dependencies": [],
"object_keywords": ["soil_area_1"]
}
},
{
"task": "excavate_soil",
"instruction_function": {
"name": "excavate_material",
"robot_ids": ["robot_excavator_01"],
"dependencies": ["move_excavator_to_soil_area"],
"object_keywords": ["soil"]
}
},
{
"task": "move_dump_truck",
"instruction_function": {
"name": "move_to_position",
"robot_ids": ["robot_dump_truck_01"],
"dependencies": [],
"object_keywords": ["soil_area_1"]
}
},
{
"task": "load_soil_to_truck",
"instruction_function": {
"name": "transfer_material",
"robot_ids": ["robot_excavator_01", "robot_dump_truck_01"],
"dependencies": ["excavate_soil", "move_dump_truck"],
"object_keywords": ["soil"]
}
},
{
"task": "transport_to_dump_site",
"instruction_function": {
"name": "move_to_position",
"robot_ids": ["robot_dump_truck_01"],
"dependencies": ["load_soil_to_truck"],
"object_keywords": ["dump_site"]
}
}
]
}
"""
# Test JSON processing
processor = JsonProcessor()
print("1. Testing JSON processing...")
processed_json = processor.process_response(sample_response)
if processed_json:
print("✓ JSON processing successful")
print(f" Found {len(processed_json['tasks'])} tasks")
else:
print("✗ JSON processing failed")
return False
# Test DAG visualization
print("2. Testing DAG visualization...")
visualizer = DAGVisualizer()
try:
dag_image_path = visualizer.create_dag_visualization(
processed_json,
title="Test Robot Task Dependency Graph"
)
if dag_image_path:
print(f"✓ DAG visualization created: {dag_image_path}")
return True
else:
print("✗ DAG visualization failed")
return False
except Exception as e:
print(f"✗ DAG visualization error: {e}")
return False
def test_simplified_dag():
"""Test simplified DAG visualization"""
print("\n3. Testing simplified DAG...")
simple_task_data = {
"tasks": [
{
"task": "move_robot",
"instruction_function": {
"name": "move_to_position",
"robot_ids": ["robot_01"],
"dependencies": [],
"object_keywords": ["target_area"]
}
},
{
"task": "perform_operation",
"instruction_function": {
"name": "excavate",
"robot_ids": ["robot_01"],
"dependencies": ["move_robot"],
"object_keywords": ["soil"]
}
}
]
}
visualizer = DAGVisualizer()
try:
dag_image_path = visualizer.create_simplified_dag_visualization(
simple_task_data,
title="Simplified Test DAG"
)
if dag_image_path:
print(f"✓ Simplified DAG visualization created: {dag_image_path}")
return True
else:
print("✗ Simplified DAG visualization failed")
return False
except Exception as e:
print(f"✗ Simplified DAG visualization error: {e}")
return False
def main():
"""Run all tests"""
print("=" * 60)
print("DART-LLM-Multi-Model DAG Integration Test")
print("=" * 60)
success_count = 0
total_tests = 2
if test_dag_integration():
success_count += 1
if test_simplified_dag():
success_count += 1
print("\n" + "=" * 60)
print(f"Test Results: {success_count}/{total_tests} passed")
if success_count == total_tests:
print("🎉 All DAG integration tests passed!")
return True
else:
print("❌ Some tests failed!")
return False
if __name__ == "__main__":
success = main()
exit(0 if success else 1) |