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aitbc/apps/ai-engine/tests/test_unit_ai_engine.py
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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
2026-04-23 16:43:17 +02:00

144 lines
5.0 KiB
Python

"""Unit tests for AI engine service"""
import pytest
import sys
import sys
from pathlib import Path
from unittest.mock import Mock, patch, MagicMock
from datetime import datetime
# Mock numpy before importing
sys.modules['numpy'] = MagicMock()
from ai_service import SimpleAITradingEngine, TradingRequest, AnalysisRequest
@pytest.mark.unit
def test_ai_engine_initialization():
"""Test that AI engine initializes correctly"""
engine = SimpleAITradingEngine()
assert engine.models_loaded is True
@pytest.mark.unit
@pytest.mark.asyncio
async def test_analyze_market():
"""Test market analysis functionality"""
engine = SimpleAITradingEngine()
# Mock numpy to return consistent values
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'
result = await engine.analyze_market('AITBC/BTC')
assert result['symbol'] == 'AITBC/BTC'
assert 'current_price' in result
assert 'price_change_24h' in result
assert 'volume_24h' in result
assert 'rsi' in result
assert 'macd' in result
assert 'volatility' in result
assert 'ai_predictions' in result
assert 'timestamp' in result
# Check AI predictions structure
predictions = result['ai_predictions']
assert 'price_prediction' in predictions
assert 'risk_assessment' in predictions
assert 'sentiment_analysis' in predictions
@pytest.mark.unit
@pytest.mark.asyncio
async def test_make_trading_decision_buy():
"""Test trading decision for buy signal"""
engine = SimpleAITradingEngine()
with patch('ai_service.np.random.uniform') as mock_uniform:
# Set values to produce a buy signal
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'
result = await engine.make_trading_decision('AITBC/BTC')
assert result['symbol'] == 'AITBC/BTC'
assert 'signal' in result
assert 'confidence' in result
assert 'quantity' in result
assert 'price' in result
assert 'reasoning' in result
assert 'timestamp' in result
@pytest.mark.unit
@pytest.mark.asyncio
async def test_make_trading_decision_sell():
"""Test trading decision for sell signal"""
engine = SimpleAITradingEngine()
with patch('ai_service.np.random.uniform') as mock_uniform:
# Set values to produce a sell signal
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 = 'bearish'
result = await engine.make_trading_decision('AITBC/BTC')
assert result['symbol'] == 'AITBC/BTC'
assert result['signal'] in ['buy', 'sell', 'hold']
@pytest.mark.unit
@pytest.mark.asyncio
async def test_make_trading_decision_hold():
"""Test trading decision for hold signal"""
engine = SimpleAITradingEngine()
with patch('ai_service.np.random.uniform') as mock_uniform:
# Set values to produce a hold signal
mock_uniform.side_effect = [0.005, 0.01, 5000, 50, 0.005, 0.03, 0.01, 0.8, 0.6, 0.03, 0.0, 0.4, 0.0, 0.3, 0.1]
with patch('ai_service.np.random.choice') as mock_choice:
mock_choice.return_value = 'neutral'
result = await engine.make_trading_decision('AITBC/BTC')
assert result['symbol'] == 'AITBC/BTC'
assert result['signal'] in ['buy', 'sell', 'hold']
@pytest.mark.unit
def test_trading_request_model():
"""Test TradingRequest model"""
request = TradingRequest(symbol='AITBC/BTC', strategy='ai_enhanced')
assert request.symbol == 'AITBC/BTC'
assert request.strategy == 'ai_enhanced'
@pytest.mark.unit
def test_trading_request_defaults():
"""Test TradingRequest default values"""
request = TradingRequest(symbol='AITBC/BTC')
assert request.symbol == 'AITBC/BTC'
assert request.strategy == 'ai_enhanced'
@pytest.mark.unit
def test_analysis_request_model():
"""Test AnalysisRequest model"""
request = AnalysisRequest(symbol='AITBC/BTC', analysis_type='full')
assert request.symbol == 'AITBC/BTC'
assert request.analysis_type == 'full'
@pytest.mark.unit
def test_analysis_request_defaults():
"""Test AnalysisRequest default values"""
request = AnalysisRequest(symbol='AITBC/BTC')
assert request.symbol == 'AITBC/BTC'
assert request.analysis_type == 'full'