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#!/usr/bin/env python3
"""Test AI decision logic with fallback (simulates HF Space environment)"""
import sys
sys.path.insert(0, '/Users/nicholashughes/huggingsoacecrypto/cryptotrader')
from app import ExponentialLearner
print("="*60)
print("Testing AI Decision Logic (Fallback Mode)")
print("="*60)
# Create AI instance
ai = ExponentialLearner()
# Test market conditions
test_conditions = [
{
"name": "Strong Bullish",
"data": {
"price": 150.0,
"change_24h": 5.5,
"rsi": 65,
"trend": "UP",
"volume_trend": "increasing"
}
},
{
"name": "Strong Bearish",
"data": {
"price": 145.0,
"change_24h": -4.2,
"rsi": 35,
"trend": "DOWN",
"volume_trend": "decreasing"
}
},
{
"name": "Neutral/Sideways",
"data": {
"price": 148.0,
"change_24h": 0.5,
"rsi": 50,
"trend": "NEUTRAL",
"volume_trend": "neutral"
}
}
]
for test in test_conditions:
print(f"\n{'='*60}")
print(f"Test Case: {test['name']}")
print(f"{'='*60}")
decision = ai.get_best_action("SOL/USD", test['data'])
print(f"\n✅ AI Decision:")
print(f" Action: {decision['action']}")
print(f" Confidence: {decision['confidence']}")
print(f" Reason: {decision['reason']}")
print(f" Leverage: {decision['leverage']}x")
print(f" Size: {decision['size_percent']}%")
print(f"\n📊 Logged Input: {ai.last_api_input}")
print(f"🤖 Logged Output: {ai.last_api_output}")
print(f"\n{'='*60}")
print("✅ All tests completed successfully!")
print("="*60)
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