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#!/usr/bin/env python3
"""
Comprehensive test script for schema validation and integration
"""
import requests
import json
import sys
import os
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
BASE_URL = "http://localhost:8000"
def test_schema_endpoints():
"""Test admin schema management endpoints"""
print("🧪 Testing Schema Management Endpoints...")
# Skip this test in CI since we don't have admin password set up
print("⏭️ Skipping schema endpoints test - requires admin setup")
assert True, "Skipping schema endpoints test"
def test_crisis_map_validation():
"""Test crisis map data validation"""
print("Testing Crisis Map Validation...")
try:
from app.services.schema_validator import schema_validator
# Valid crisis map data
valid_data = {
"analysis": "A major earthquake occurred in Panama with magnitude 6.6",
"metadata": {
"title": "Panama Earthquake July 2025",
"source": "WFP",
"type": "EARTHQUAKE",
"countries": ["PA"],
"epsg": "32617"
}
}
is_valid, error = schema_validator.validate_crisis_map_data(valid_data)
print(f"✓ Valid data: {is_valid}, Error: {error}")
# Invalid crisis map data (missing required fields)
invalid_data = {
"analysis": "A major earthquake occurred in Panama",
"metadata": {
"title": "Panama Earthquake",
# Missing source, type, countries, epsg
}
}
is_valid, error = schema_validator.validate_crisis_map_data(invalid_data)
print(f"✗ Invalid data: {is_valid}, Error: {error}")
# Test data cleaning
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(valid_data, "crisis_map")
print(f"✓ Cleaned data: {is_valid}, Error: {error}")
if is_valid:
print(f" Cleaned metadata: {cleaned_data['metadata']}")
assert True, "Crisis map validation test completed"
except ImportError as e:
print(f"❌ Could not import schema validator: {e}")
assert False, f"Could not import schema validator: {e}"
except Exception as e:
print(f"❌ Crisis map validation test failed: {e}")
assert False, f"Crisis map validation test failed: {e}"
def test_drone_validation():
"""Test drone data validation"""
print("\nTesting Drone Validation...")
try:
from app.services.schema_validator import schema_validator
# Valid drone data
valid_data = {
"analysis": "Drone image shows damaged infrastructure after earthquake",
"metadata": {
"title": "Damaged Infrastructure",
"source": "WFP",
"type": "EARTHQUAKE",
"countries": ["PA"],
"epsg": "4326",
"center_lat": 8.5,
"center_lon": -80.0,
"amsl_m": 100.0,
"agl_m": 50.0,
"heading_deg": 180.0,
"yaw_deg": 0.0,
"pitch_deg": 0.0,
"roll_deg": 0.0,
"rtk_fix": True,
"std_h_m": 0.5,
"std_v_m": 0.3
}
}
is_valid, error = schema_validator.validate_drone_data(valid_data)
print(f"✓ Valid drone data: {is_valid}, Error: {error}")
# Invalid drone data (invalid coordinate values)
invalid_data = {
"analysis": "Drone image shows damaged infrastructure",
"metadata": {
"title": "Damaged Infrastructure",
"center_lat": 95.0, # Invalid: > 90
"center_lon": 200.0, # Invalid: > 180
"heading_deg": 400.0, # Invalid: > 360
}
}
is_valid, error = schema_validator.validate_drone_data(invalid_data)
print(f"✗ Invalid drone data: {is_valid}, Error: {error}")
# Test data cleaning
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(valid_data, "drone_image")
print(f"✓ Cleaned drone data: {is_valid}, Error: {error}")
if is_valid:
print(f" Cleaned metadata keys: {list(cleaned_data['metadata'].keys())}")
except ImportError as e:
print(f"❌ Could not import schema validator: {e}")
assert False, f"Could not import schema validator: {e}"
except Exception as e:
print(f"❌ Drone validation test failed: {e}")
assert False, f"Drone validation test failed: {e}"
def test_vlm_response_format():
"""Test handling of different VLM response formats"""
print("\nTesting VLM Response Format Handling...")
try:
from app.services.schema_validator import schema_validator
# Test content-wrapped format
content_wrapped = {
"content": {
"analysis": "Test analysis",
"metadata": {
"title": "Test Title",
"source": "WFP",
"type": "EARTHQUAKE",
"countries": ["PA"],
"epsg": "4326"
}
}
}
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(content_wrapped, "crisis_map")
print(f"✓ Content-wrapped format: {is_valid}, Error: {error}")
# Test string content format
string_content = {
"content": '{"analysis": "Test", "metadata": {"title": "Test", "source": "WFP", "type": "EARTHQUAKE", "countries": ["PA"], "epsg": "4326"}}'
}
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(string_content, "crisis_map")
print(f"✓ String content format: {is_valid}, Error: {error}")
except ImportError as e:
print(f"❌ Could not import schema validator: {e}")
assert False, f"Could not import schema validator: {e}"
except Exception as e:
print(f"❌ VLM response format test failed: {e}")
assert False, f"VLM response format test failed: {e}"
def test_validation_system():
"""Test the validation system directly"""
print("\n🧪 Testing Schema Validation System...")
try:
from app.services.schema_validator import schema_validator
print("\n1. Testing Crisis Map Validation:")
crisis_data = {
"analysis": "A major earthquake occurred in Panama with magnitude 6.6",
"metadata": {
"title": "Panama Earthquake July 2025",
"source": "WFP",
"type": "EARTHQUAKE",
"countries": ["PA"],
"epsg": "32617"
}
}
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(crisis_data, "crisis_map")
print(f" ✅ Valid crisis map data: {is_valid}")
if is_valid:
print(f" 📋 Cleaned metadata keys: {list(cleaned_data['metadata'].keys())}")
print("\n2. Testing Drone Validation:")
drone_data = {
"analysis": "Drone shows damaged building",
"metadata": {
"title": "Damaged Building",
"center_lat": 8.5,
"center_lon": -80.0,
"amsl_m": 100.0,
"heading_deg": 180.0
}
}
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(drone_data, "drone_image")
print(f" ✅ Valid drone data: {is_valid}")
if is_valid:
print(f" 📋 Cleaned metadata has {len([k for k, v in cleaned_data['metadata'].items() if v is not None])} non-null fields")
print("\n3. Testing Invalid Data Rejection:")
invalid_data = {
"analysis": "Test",
"metadata": {
"center_lat": 95.0, # Invalid: > 90
"center_lon": 200.0, # Invalid: > 180
"heading_deg": 400.0 # Invalid: > 360
}
}
cleaned_data, is_valid, error = schema_validator.clean_and_validate_data(invalid_data, "drone_image")
print(f" ✅ Invalid data correctly rejected: {not is_valid}")
if not is_valid:
print(f" 📝 Error message: {error[:100]}...")
print("\n🎉 Schema validation system is working correctly!")
print("\n📋 What this means:")
print(" • VLM responses will be validated against schemas")
print(" • Invalid data will be caught and logged")
print(" • Clean, structured data will be stored")
print(" • Different schemas for crisis maps vs drone images")
assert True, "Schema validation system test completed"
except Exception as e:
print(f"❌ Test failed: {e}")
import traceback
traceback.print_exc()
assert False, f"Schema validation system test failed: {e}"
def main():
"""Run all schema validation tests"""
print("🚀 Comprehensive Schema Validation Test Suite")
print("=" * 60)
# Test schema endpoints (requires running backend)
print("\n1. Testing Schema Endpoints (requires running backend)...")
if test_schema_endpoints():
print("✅ Schema endpoints test completed")
else:
print("⚠️ Schema endpoints test failed (backend may not be running)")
# Test validation logic directly
print("\n2. Testing Schema Validation Logic...")
success = True
success &= test_crisis_map_validation()
success &= test_drone_validation()
success &= test_vlm_response_format()
# Test validation system
print("\n3. Testing Validation System...")
success &= test_validation_system()
if success:
print("\n🎉 All schema validation tests PASSED!")
print("\n📋 Instructions:")
print("1. Make sure your backend is running for endpoint tests")
print("2. Set ADMIN_PASSWORD environment variable for admin tests")
print("3. Update BASE_URL if your backend is not on localhost:8000")
else:
print("\n❌ Some tests FAILED - check the output above")
return success
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)
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