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29ca14e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 | #!/usr/bin/env python3
"""
⚠️ DEVELOPER TOOL ONLY - NOT FOR END USERS
This script verifies F1 Predictor installation by testing module imports,
data loading, and basic prediction functionality.
FOR PREDICTIONS, USE THE STREAMLIT APP:
streamlit run app.py
Then access: http://localhost:8501
USAGE (Developers Only):
py scripts/quick_test.py
"""
import sys
from pathlib import Path
# Add project root to Python path
project_root = Path(__file__).parent.parent
sys.path.insert(0, str(project_root))
print("=" * 80)
print("F1 PREDICTOR 2026 - QUICK INSTALLATION TEST")
print("=" * 80)
# Test 1: Import core modules
print("\n[1/5] Testing module imports...")
try:
from src.engine.predictor import predict, PredictionRequest
from src.services.accuracy_service import get_accuracy_service
from src.data.driver_data import get_all_drivers
from src.data.circuit_data import get_all_circuits
print("✅ All imports successful")
except ImportError as e:
print(f"❌ Import failed: {e}")
sys.exit(1)
# Test 2: Load data
print("\n[2/5] Loading driver and circuit data...")
try:
drivers = get_all_drivers()
circuits = get_all_circuits()
print(f"✅ Loaded {len(drivers)} drivers and {len(circuits)} circuits")
except Exception as e:
print(f"❌ Data loading failed: {e}")
sys.exit(1)
# Test 3: Run a simple prediction
print("\n[3/5] Running test prediction (Canada GP)...")
try:
result = predict(
PredictionRequest(
circuit_id="canada",
rain_probability=0.2,
n_simulations=1000, # Small number for quick test
seed=42,
)
)
predictions = result.get("predictions", [])
if predictions:
print(f"✅ Prediction successful: {len(predictions)} drivers predicted")
# Show top 3
sorted_preds = sorted(predictions, key=lambda x: x.get("expected_position_float", 999))
print("\nTop 3 Predictions:")
for i, pred in enumerate(sorted_preds[:3], 1):
driver_id = pred.get("driver_id", "Unknown")
win_pct = pred.get("win_pct", 0)
print(f" {i}. {driver_id} (Win probability: {win_pct:.1f}%)")
else:
print("❌ No predictions generated")
sys.exit(1)
except Exception as e:
print(f"❌ Prediction failed: {e}")
import traceback
traceback.print_exc()
sys.exit(1)
# Test 4: Test accuracy service
print("\n[4/5] Testing accuracy tracking service...")
try:
service = get_accuracy_service()
# Log a test prediction
service.log_prediction(
prediction_id="test_001",
circuit_id="canada",
predictions=predictions[:5], # Just top 5 for test
metadata={"test": True}
)
# Get metrics
metrics = service.get_accuracy_metrics(days=1)
print(f"✅ Accuracy service working: {metrics.get('total_evaluations', 0)} evaluations tracked")
except Exception as e:
print(f"❌ Accuracy service failed: {e}")
import traceback
traceback.print_exc()
sys.exit(1)
# Test 5: Verify file structure
print("\n[5/5] Verifying project structure...")
required_files = [
"app.py",
"src/services/accuracy_service.py",
"scripts/verify_accuracy.py",
"ACCURACY_GUIDE.md",
]
missing = []
for filepath in required_files:
full_path = project_root / filepath
if not full_path.exists():
missing.append(filepath)
if missing:
print(f"⚠️ Missing files: {', '.join(missing)}")
else:
print("✅ All required files present")
# Summary
print("\n" + "=" * 80)
print("TEST COMPLETE - ALL CHECKS PASSED! ✅")
print("=" * 80)
print("\nYour F1 Predictor installation is working correctly.")
print("\nNext steps:")
print(" 1. Run full accuracy test: py scripts/verify_accuracy.py --season 2026")
print(" 2. Launch Streamlit app: streamlit run app.py")
print(" 3. Read the guide: ACCURACY_GUIDE.md")
print("=" * 80 + "\n")
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