Add sys import to test files and remove obsolete integration tests

- Add sys import to 29 test files across agent-coordinator, blockchain-event-bridge, blockchain-node, and coordinator-api
- Remove apps/blockchain-event-bridge/tests/test_integration.py (obsolete bridge integration tests)
- Remove apps/coordinator-api/tests/test_integration.py (obsolete API integration tests)
- Implement GPU registration in marketplace_gpu.py with GPURegistry model persistence

apps/ai-engine/tests/test_integration_ai_engine.py

@@ -0,0 +1,185 @@
+"""Integration tests for AI engine service"""
+
+import pytest
+import sys
+import sys
+from pathlib import Path
+from datetime import datetime
+from unittest.mock import Mock, patch, MagicMock
+from fastapi.testclient import TestClient
+
+
+# Mock numpy before importing
+sys.modules['numpy'] = MagicMock()
+
+from ai_service import app, ai_engine
+
+
+@pytest.mark.integration
+def test_analyze_market_endpoint():
+    """Test /api/ai/analyze endpoint"""
+    client = TestClient(app)
+    
+    with patch('ai_service.np.random.uniform') as mock_uniform:
+        mock_uniform.side_effect = [0.005, 0.02, 5000, 50, 0.005, 0.03, 0.01, 0.8, 0.6, 0.03, 0.5, 0.4]
+        with patch('ai_service.np.random.choice') as mock_choice:
+            mock_choice.return_value = 'bullish'
+            
+            response = client.post("/api/ai/analyze", json={"symbol": "AITBC/BTC", "analysis_type": "full"})
+            
+            assert response.status_code == 200
+            data = response.json()
+            assert data['status'] == 'success'
+            assert 'analysis' in data
+            assert data['analysis']['symbol'] == 'AITBC/BTC'
+
+
+@pytest.mark.integration
+def test_execute_ai_trade_endpoint():
+    """Test /api/ai/trade endpoint"""
+    client = TestClient(app)
+    
+    with patch('ai_service.np.random.uniform') as mock_uniform:
+        mock_uniform.side_effect = [0.005, 0.02, 5000, 50, 0.005, 0.03, 0.01, 0.8, 0.6, 0.03, 0.5, 0.4, 0.5, 0.3, 0.1]
+        with patch('ai_service.np.random.choice') as mock_choice:
+            mock_choice.return_value = 'bullish'
+            
+            response = client.post("/api/ai/trade", json={"symbol": "AITBC/BTC", "strategy": "ai_enhanced"})
+            
+            assert response.status_code == 200
+            data = response.json()
+            assert data['status'] == 'success'
+            assert 'decision' in data
+            assert data['decision']['symbol'] == 'AITBC/BTC'
+            assert 'signal' in data['decision']
+
+
+@pytest.mark.integration
+def test_predict_market_endpoint():
+    """Test /api/ai/predict/{symbol} endpoint"""
+    client = TestClient(app)
+    
+    with patch('ai_service.np.random.uniform') as mock_uniform:
+        mock_uniform.side_effect = [0.005, 0.02, 5000, 50, 0.005, 0.03, 0.01, 0.8, 0.6, 0.03, 0.5, 0.4]
+        with patch('ai_service.np.random.choice') as mock_choice:
+            mock_choice.return_value = 'bullish'
+            
+            response = client.get("/api/ai/predict/AITBC-BTC")
+            
+            assert response.status_code == 200
+            data = response.json()
+            assert data['status'] == 'success'
+            assert 'predictions' in data
+            assert 'price' in data['predictions']
+            assert 'risk' in data['predictions']
+            assert 'sentiment' in data['predictions']
+
+
+@pytest.mark.integration
+def test_get_ai_dashboard_endpoint():
+    """Test /api/ai/dashboard endpoint"""
+    client = TestClient(app)
+    
+    # The dashboard endpoint calls analyze_market and make_trading_decision multiple times
+    # Mock the entire ai_engine methods to avoid complex numpy mocking
+    with patch.object(ai_engine, 'analyze_market') as mock_analyze, \
+         patch.object(ai_engine, 'make_trading_decision') as mock_decision:
+        
+        mock_analyze.return_value = {
+            'symbol': 'AITBC/BTC',
+            'current_price': 0.005,
+            'price_change_24h': 0.02,
+            'volume_24h': 5000,
+            'rsi': 50,
+            'macd': 0.005,
+            'volatility': 0.03,
+            'ai_predictions': {
+                'price_prediction': {'predicted_change': 0.01, 'confidence': 0.8},
+                'risk_assessment': {'risk_score': 0.5, 'volatility': 0.03},
+                'sentiment_analysis': {'sentiment_score': 0.5, 'overall_sentiment': 'bullish'}
+            },
+            'timestamp': datetime.utcnow()
+        }
+        
+        mock_decision.return_value = {
+            'symbol': 'AITBC/BTC',
+            'signal': 'buy',
+            'confidence': 0.5,
+            'quantity': 500,
+            'price': 0.005,
+            'reasoning': 'Test reasoning',
+            'timestamp': datetime.utcnow()
+        }
+        
+        response = client.get("/api/ai/dashboard")
+        
+        assert response.status_code == 200
+        data = response.json()
+        assert data['status'] == 'success'
+        assert 'dashboard' in data
+        assert 'market_overview' in data['dashboard']
+        assert 'symbol_analysis' in data['dashboard']
+        assert len(data['dashboard']['symbol_analysis']) == 3
+
+
+@pytest.mark.integration
+def test_get_ai_status_endpoint():
+    """Test /api/ai/status endpoint"""
+    client = TestClient(app)
+    
+    response = client.get("/api/ai/status")
+    
+    assert response.status_code == 200
+    data = response.json()
+    assert data['status'] == 'active'
+    assert data['models_loaded'] is True
+    assert 'services' in data
+    assert 'capabilities' in data
+    assert 'trading_engine' in data['services']
+    assert 'market_analysis' in data['services']
+
+
+@pytest.mark.integration
+def test_health_check_endpoint():
+    """Test /api/health endpoint"""
+    client = TestClient(app)
+    
+    response = client.get("/api/health")
+    
+    assert response.status_code == 200
+    data = response.json()
+    assert data['status'] == 'ok'
+
+
+@pytest.mark.integration
+def test_analyze_market_with_default_strategy():
+    """Test analyze endpoint with default strategy"""
+    client = TestClient(app)
+    
+    with patch('ai_service.np.random.uniform') as mock_uniform:
+        mock_uniform.side_effect = [0.005, 0.02, 5000, 50, 0.005, 0.03, 0.01, 0.8, 0.6, 0.03, 0.5, 0.4]
+        with patch('ai_service.np.random.choice') as mock_choice:
+            mock_choice.return_value = 'bullish'
+            
+            response = client.post("/api/ai/analyze", json={"symbol": "AITBC/ETH"})
+            
+            assert response.status_code == 200
+            data = response.json()
+            assert data['status'] == 'success'
+
+
+@pytest.mark.integration
+def test_trade_endpoint_with_default_strategy():
+    """Test trade endpoint with default strategy"""
+    client = TestClient(app)
+    
+    with patch('ai_service.np.random.uniform') as mock_uniform:
+        mock_uniform.side_effect = [0.005, 0.02, 5000, 50, 0.005, 0.03, 0.01, 0.8, 0.6, 0.03, 0.5, 0.4, 0.5, 0.3, 0.1]
+        with patch('ai_service.np.random.choice') as mock_choice:
+            mock_choice.return_value = 'bullish'
+            
+            response = client.post("/api/ai/trade", json={"symbol": "AITBC/USDT"})
+            
+            assert response.status_code == 200
+            data = response.json()
+            assert data['status'] == 'success'