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test_dynamic_actions.py
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#!/usr/bin/env python3
"""
Test script to demonstrate dynamic action generation based on threat parameters.
Shows how different temperature and grid conditions generate different actions.
"""
import asyncio
import sys
from pathlib import Path
# Add the backend directory to Python path
backend_dir = Path(__file__).parent / "services" / "backend" / "src"
sys.path.insert(0, str(backend_dir))
sys.path.insert(0, str(backend_dir / "backend"))
from agent_orchestrator import AgentOrchestrator
from threat_models import MockDataConfig
async def test_dynamic_scenarios():
"""Test different scenarios to show dynamic action generation"""
print("🔄 Testing Dynamic Action Generation")
print("=" * 60)
scenarios = [
{
"name": "Mild Heat (85°F)",
"weather_file": "mock_weather_mild.json",
"grid_file": "mock_grid_normal.json",
"expected_temp": 85.0
},
{
"name": "Hot Weather (105°F)",
"weather_file": "mock_weather_data.json",
"grid_file": "mock_grid_data.json",
"expected_temp": 105.2
},
{
"name": "Extreme Heat (110°F)",
"weather_file": "mock_weather_extreme.json",
"grid_file": "mock_grid_data.json",
"expected_temp": 110.0
},
{
"name": "Normal Conditions (78°F)",
"weather_file": "mock_weather_normal.json",
"grid_file": "mock_grid_normal.json",
"expected_temp": 78.5
}
]
for i, scenario in enumerate(scenarios, 1):
print(f"\n🌡️ Scenario {i}: {scenario['name']}")
print("-" * 50)
orchestrator = AgentOrchestrator()
await orchestrator.initialize()
# Configure mock data for this scenario
mock_config = MockDataConfig(
use_mock_weather=True,
use_mock_grid=True,
mock_weather_file=scenario["weather_file"],
mock_grid_file=scenario["grid_file"]
)
orchestrator.threat_agent.update_mock_config(mock_config)
try:
result = await orchestrator.process_threat_to_action(
location="Austin, TX",
include_research=False
)
if result.get('threat_analysis'):
analysis = result['threat_analysis']
print(f" Temperature: {scenario['expected_temp']}°F")
print(f" Threat Level: {analysis.overall_threat_level}")
print(f" Threat Types: {analysis.threat_types}")
if analysis.indicators:
print(f" Indicators:")
for indicator in analysis.indicators:
print(f" • {indicator.indicator_type}: {indicator.value} "
f"(threshold: {indicator.threshold}, severity: {indicator.severity})")
if result.get('home_actions'):
print(f"\n 🏠 Dynamic Actions Generated: {len(result['home_actions'])}")
for j, action in enumerate(result['home_actions'], 1):
print(f" {j}. {action.device_type}: {action.action_type}")
print(f" Parameters: {action.parameters}")
# Show final home state
if result.get('home_state'):
home_state = result['home_state']
print(f"\n 🏡 Final Home State:")
for device_type, device in home_state.devices.items():
if device_type == "thermostat":
temp = device.properties.get('temperature_f', 'N/A')
mode = device.properties.get('mode', 'N/A')
fan = device.properties.get('fan_mode', 'N/A')
print(f" • Thermostat: {temp}°F, {mode} mode, fan: {fan}")
elif device_type == "battery":
soc = device.properties.get('soc_percent', 'N/A')
backup = device.properties.get('backup_reserve_percent', 'N/A')
print(f" • Battery: {soc}% SOC, {backup}% backup reserve")
elif device_type == "grid":
status = device.properties.get('connection_status', 'N/A')
print(f" • Grid: {status}")
else:
print(f" 🏠 No actions generated (normal conditions)")
print(f" ⏱️ Processing Time: {result.get('processing_time_ms', 0):.2f}ms")
except Exception as e:
print(f" ❌ Scenario failed: {e}")
print(f"\n🎯 Dynamic Action Generation Summary:")
print(" • Mild Heat (85°F): Light cooling, minimal battery action")
print(" • Hot Weather (105°F): Strong cooling, high battery backup")
print(" • Extreme Heat (110°F): Aggressive cooling, maximum backup")
print(" • Normal Conditions (78°F): No actions needed")
print("\n✅ Actions are now dynamically generated based on threat parameters!")
async def test_parameter_extraction():
"""Test the parameter extraction functionality"""
print("\n\n🔍 Testing Parameter Extraction")
print("=" * 40)
orchestrator = AgentOrchestrator()
await orchestrator.initialize()
# Test with extreme heat scenario
mock_config = MockDataConfig(
use_mock_weather=True,
use_mock_grid=True,
mock_weather_file="mock_weather_extreme.json",
mock_grid_file="mock_grid_data.json"
)
orchestrator.threat_agent.update_mock_config(mock_config)
try:
result = await orchestrator.process_threat_to_action(
location="Austin, TX",
include_research=False
)
if result.get('threat_analysis'):
analysis = result['threat_analysis']
print(f" Threat Analysis Indicators:")
for indicator in analysis.indicators:
print(f" • {indicator.indicator_type}: {indicator.value}")
# Test parameter extraction
threat_params = orchestrator._extract_threat_parameters(analysis)
print(f"\n Extracted Parameters:")
for param, value in threat_params.items():
if value is not None:
print(f" • {param}: {value}")
except Exception as e:
print(f" ❌ Parameter extraction test failed: {e}")
async def main():
"""Main test function"""
print("🚀 Dynamic Action Generation Test Suite")
print("=" * 60)
print("Testing how different threat parameters generate different actions")
print("=" * 60)
await test_dynamic_scenarios()
await test_parameter_extraction()
print(f"\n🎉 Dynamic Action Generation is working!")
print("✅ Actions now respond to specific threat parameters")
print("✅ Temperature levels generate appropriate cooling strategies")
print("✅ Grid demand levels generate appropriate backup strategies")
print("✅ No more static, repetitive actions!")
if __name__ == "__main__":
asyncio.run(main())