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#!/usr/bin/env python3
"""
Test script for monitoring integration with HF Datasets
"""
import os
import sys
import logging
from datetime import datetime
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def test_monitoring_import():
"""Test that monitoring can be imported"""
try:
from monitoring import SmolLM3Monitor, create_monitor_from_config
logger.info("✅ Monitoring module imported successfully")
return True
except ImportError as e:
logger.error(f"❌ Failed to import monitoring: {e}")
return False
def test_monitor_creation():
"""Test monitor creation with environment variables"""
try:
from monitoring import SmolLM3Monitor
# Test with environment variables
hf_token = os.environ.get('HF_TOKEN')
dataset_repo = os.environ.get('TRACKIO_DATASET_REPO', 'tonic/trackio-experiments')
logger.info(f"🔧 Testing monitor creation...")
logger.info(f" HF_TOKEN: {'Set' if hf_token else 'Not set'}")
logger.info(f" Dataset repo: {dataset_repo}")
monitor = SmolLM3Monitor(
experiment_name="test_experiment",
enable_tracking=False, # Disable Trackio for testing
hf_token=hf_token,
dataset_repo=dataset_repo
)
logger.info(f"✅ Monitor created successfully")
logger.info(f" Experiment name: {monitor.experiment_name}")
logger.info(f" Dataset repo: {monitor.dataset_repo}")
logger.info(f" HF client: {'Available' if monitor.hf_dataset_client else 'Not available'}")
return True
except Exception as e:
logger.error(f"❌ Failed to create monitor: {e}")
return False
def test_config_creation():
"""Test monitor creation from config"""
try:
from monitoring import create_monitor_from_config
# Create a simple config object
class TestConfig:
enable_tracking = True
experiment_name = "test_config_experiment"
trackio_url = None
trackio_token = None
log_artifacts = True
log_metrics = True
log_config = True
config = TestConfig()
logger.info(f"🔧 Testing monitor creation from config...")
monitor = create_monitor_from_config(config)
logger.info(f"✅ Monitor created from config successfully")
logger.info(f" Experiment name: {monitor.experiment_name}")
logger.info(f" Dataset repo: {monitor.dataset_repo}")
return True
except Exception as e:
logger.error(f"❌ Failed to create monitor from config: {e}")
return False
def test_metrics_logging():
"""Test metrics logging functionality"""
try:
from monitoring import SmolLM3Monitor
logger.info(f"🔧 Testing metrics logging...")
monitor = SmolLM3Monitor(
experiment_name="test_metrics",
enable_tracking=False,
log_metrics=True
)
# Test metrics logging
test_metrics = {
'loss': 0.5,
'learning_rate': 1e-4,
'step': 100
}
monitor.log_metrics(test_metrics, step=100)
logger.info(f"✅ Metrics logged successfully")
logger.info(f" Metrics history length: {len(monitor.metrics_history)}")
return True
except Exception as e:
logger.error(f"❌ Failed to log metrics: {e}")
return False
def test_configuration_logging():
"""Test configuration logging functionality"""
try:
from monitoring import SmolLM3Monitor
logger.info(f"🔧 Testing configuration logging...")
monitor = SmolLM3Monitor(
experiment_name="test_config",
enable_tracking=False,
log_config=True
)
# Test configuration logging
test_config = {
'model_name': 'test-model',
'batch_size': 32,
'learning_rate': 1e-4,
'max_steps': 1000
}
monitor.log_configuration(test_config)
logger.info(f"✅ Configuration logged successfully")
logger.info(f" Artifacts count: {len(monitor.artifacts)}")
return True
except Exception as e:
logger.error(f"❌ Failed to log configuration: {e}")
return False
def test_system_metrics():
"""Test system metrics logging"""
try:
from monitoring import SmolLM3Monitor
logger.info(f"🔧 Testing system metrics logging...")
monitor = SmolLM3Monitor(
experiment_name="test_system",
enable_tracking=False,
log_metrics=True
)
# Test system metrics
monitor.log_system_metrics(step=1)
logger.info(f"✅ System metrics logged successfully")
return True
except Exception as e:
logger.error(f"❌ Failed to log system metrics: {e}")
return False
def test_training_summary():
"""Test training summary logging"""
try:
from monitoring import SmolLM3Monitor
logger.info(f"🔧 Testing training summary logging...")
monitor = SmolLM3Monitor(
experiment_name="test_summary",
enable_tracking=False,
log_artifacts=True
)
# Test training summary
test_summary = {
'final_loss': 0.1,
'total_steps': 1000,
'training_duration': 3600,
'model_path': '/output/model',
'status': 'completed'
}
monitor.log_training_summary(test_summary)
logger.info(f"✅ Training summary logged successfully")
logger.info(f" Artifacts count: {len(monitor.artifacts)}")
return True
except Exception as e:
logger.error(f"❌ Failed to log training summary: {e}")
return False
def test_callback_creation():
"""Test callback creation for trainer integration"""
try:
from monitoring import SmolLM3Monitor
logger.info(f"🔧 Testing callback creation...")
monitor = SmolLM3Monitor(
experiment_name="test_callback",
enable_tracking=False
)
# Test callback creation
callback = monitor.create_monitoring_callback()
logger.info(f"✅ Callback created successfully")
logger.info(f" Callback type: {type(callback).__name__}")
return True
except Exception as e:
logger.error(f"❌ Failed to create callback: {e}")
return False
def main():
"""Run all monitoring integration tests"""
print("🧪 Testing Monitoring Integration with HF Datasets")
print("=" * 60)
tests = [
("Module Import", test_monitoring_import),
("Monitor Creation", test_monitor_creation),
("Config Creation", test_config_creation),
("Metrics Logging", test_metrics_logging),
("Configuration Logging", test_configuration_logging),
("System Metrics", test_system_metrics),
("Training Summary", test_training_summary),
("Callback Creation", test_callback_creation)
]
passed = 0
total = len(tests)
for test_name, test_func in tests:
print(f"\n🔧 Running: {test_name}")
try:
if test_func():
print(f"✅ {test_name}: PASSED")
passed += 1
else:
print(f"❌ {test_name}: FAILED")
except Exception as e:
print(f"❌ {test_name}: ERROR - {e}")
print(f"\n📊 Test Results")
print("=" * 30)
print(f"Passed: {passed}/{total}")
print(f"Failed: {total - passed}/{total}")
if passed == total:
print("🎉 All tests passed! Monitoring integration is working correctly.")
else:
print("⚠️ Some tests failed. Check the logs above for details.")
print(f"\n📋 Environment Check:")
print(f" HF_TOKEN: {'Set' if os.environ.get('HF_TOKEN') else 'Not set'}")
print(f" TRACKIO_DATASET_REPO: {os.environ.get('TRACKIO_DATASET_REPO', 'tonic/trackio-experiments')}")
if passed == total:
print(f"\n✅ Monitoring integration is ready for use!")
print(f" Next step: Run a training experiment to verify full functionality")
else:
print(f"\n⚠️ Please fix the failed tests before using monitoring")
if __name__ == "__main__":
main() |