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#!/usr/bin/env python3
"""
Test script for the improved push_to_huggingface.py script
"""
import os
import sys
import tempfile
import json
from pathlib import Path
from unittest.mock import patch, MagicMock
def test_huggingface_pusher_initialization():
"""Test HuggingFacePusher initialization with new parameters"""
print("🧪 Testing HuggingFacePusher initialization...")
try:
from scripts.model_tonic.push_to_huggingface import HuggingFacePusher
# Test 1: Default initialization
print("\n1. Testing default initialization...")
with patch('push_to_huggingface.HfApi'):
pusher = HuggingFacePusher(
model_path="/tmp/test_model",
repo_name="test-user/test-model"
)
print(f" Dataset repo: {pusher.dataset_repo}")
print(f" HF token set: {'Yes' if pusher.hf_token else 'No'}")
# Test 2: Custom initialization
print("\n2. Testing custom initialization...")
with patch('push_to_huggingface.HfApi'):
pusher = HuggingFacePusher(
model_path="/tmp/test_model",
repo_name="test-user/test-model",
dataset_repo="test-user/test-experiments",
hf_token="test_token_123"
)
print(f" Dataset repo: {pusher.dataset_repo}")
print(f" HF token set: {'Yes' if pusher.hf_token else 'No'}")
# Test 3: Environment variable initialization
print("\n3. Testing environment variable initialization...")
with patch.dict(os.environ, {
'HF_TOKEN': 'env_test_token',
'TRACKIO_DATASET_REPO': 'env-user/env-dataset'
}), patch('push_to_huggingface.HfApi'):
pusher = HuggingFacePusher(
model_path="/tmp/test_model",
repo_name="test-user/test-model"
)
print(f" Dataset repo: {pusher.dataset_repo}")
print(f" HF token set: {'Yes' if pusher.hf_token else 'No'}")
print("✅ HuggingFacePusher initialization tests passed!")
return True
except Exception as e:
print(f"❌ Failed to test HuggingFacePusher initialization: {e}")
return False
def test_model_card_creation():
"""Test model card creation with HF Datasets integration"""
print("\n🧪 Testing model card creation...")
try:
from scripts.model_tonic.push_to_huggingface import HuggingFacePusher
with patch('push_to_huggingface.HfApi'):
pusher = HuggingFacePusher(
model_path="/tmp/test_model",
repo_name="test-user/test-model",
dataset_repo="test-user/test-experiments"
)
training_config = {
"model_name": "HuggingFaceTB/SmolLM3-3B",
"batch_size": 8,
"learning_rate": 1e-5
}
results = {
"final_loss": 0.5,
"total_steps": 1000,
"training_time_hours": 2.5
}
model_card = pusher.create_model_card(training_config, results)
# Check that dataset repository is included
if "test-user/test-experiments" in model_card:
print("✅ Dataset repository included in model card")
else:
print("❌ Dataset repository not found in model card")
return False
# Check that experiment tracking section is included
if "Experiment Tracking" in model_card:
print("✅ Experiment tracking section included")
else:
print("❌ Experiment tracking section not found")
return False
print("✅ Model card creation tests passed!")
return True
except Exception as e:
print(f"❌ Failed to test model card creation: {e}")
return False
def test_logging_integration():
"""Test logging integration with HF Datasets"""
print("\n🧪 Testing logging integration...")
try:
from scripts.model_tonic.push_to_huggingface import HuggingFacePusher
with patch('push_to_huggingface.HfApi'), patch('push_to_huggingface.SmolLM3Monitor') as mock_monitor:
# Create mock monitor
mock_monitor_instance = MagicMock()
mock_monitor.return_value = mock_monitor_instance
pusher = HuggingFacePusher(
model_path="/tmp/test_model",
repo_name="test-user/test-model",
dataset_repo="test-user/test-experiments",
hf_token="test_token_123"
)
# Test logging
details = {
"model_path": "/tmp/test_model",
"repo_name": "test-user/test-model"
}
pusher.log_to_trackio("model_push", details)
# Check that monitor methods were called
if mock_monitor_instance.log_metrics.called:
print("✅ Log metrics called")
else:
print("❌ Log metrics not called")
return False
if mock_monitor_instance.log_training_summary.called:
print("✅ Log training summary called")
else:
print("❌ Log training summary not called")
return False
print("✅ Logging integration tests passed!")
return True
except Exception as e:
print(f"❌ Failed to test logging integration: {e}")
return False
def test_argument_parsing():
"""Test command line argument parsing"""
print("\n🧪 Testing argument parsing...")
try:
from scripts.model_tonic.push_to_huggingface import parse_args
# Test with new arguments
test_args = [
"push_to_huggingface.py",
"/tmp/test_model",
"test-user/test-model",
"--dataset-repo", "test-user/test-experiments",
"--hf-token", "test_token_123",
"--private"
]
with patch('sys.argv', test_args):
args = parse_args()
print(f" Model path: {args.model_path}")
print(f" Repo name: {args.repo_name}")
print(f" Dataset repo: {args.dataset_repo}")
print(f" HF token: {'Set' if args.hf_token else 'Not set'}")
print(f" Private: {args.private}")
if args.dataset_repo == "test-user/test-experiments":
print("✅ Dataset repo argument parsed correctly")
else:
print("❌ Dataset repo argument not parsed correctly")
return False
if args.hf_token == "test_token_123":
print("✅ HF token argument parsed correctly")
else:
print("❌ HF token argument not parsed correctly")
return False
print("✅ Argument parsing tests passed!")
return True
except Exception as e:
print(f"❌ Failed to test argument parsing: {e}")
return False
def test_environment_variable_handling():
"""Test environment variable handling"""
print("\n🧪 Testing environment variable handling...")
try:
from scripts.model_tonic.push_to_huggingface import HuggingFacePusher
# Test with environment variables set
with patch.dict(os.environ, {
'HF_TOKEN': 'env_test_token',
'TRACKIO_DATASET_REPO': 'env-user/env-dataset'
}), patch('push_to_huggingface.HfApi'):
pusher = HuggingFacePusher(
model_path="/tmp/test_model",
repo_name="test-user/test-model"
)
print(f" Dataset repo: {pusher.dataset_repo}")
print(f" HF token: {'Set' if pusher.hf_token else 'Not set'}")
if pusher.dataset_repo == "env-user/env-dataset":
print("✅ Environment variable for dataset repo used")
else:
print("❌ Environment variable for dataset repo not used")
return False
if pusher.hf_token == "env_test_token":
print("✅ Environment variable for HF token used")
else:
print("❌ Environment variable for HF token not used")
return False
print("✅ Environment variable tests passed!")
return True
except Exception as e:
print(f"❌ Failed to test environment variables: {e}")
return False
def main():
"""Run all tests"""
print("🚀 Testing Improved Push Script")
print("=" * 50)
tests = [
("HuggingFacePusher Initialization", test_huggingface_pusher_initialization),
("Model Card Creation", test_model_card_creation),
("Logging Integration", test_logging_integration),
("Argument Parsing", test_argument_parsing),
("Environment Variables", test_environment_variable_handling)
]
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! Push script is working correctly.")
print("\n📋 New Features:")
print("✅ HF Datasets integration")
print("✅ Environment variable support")
print("✅ Enhanced model card creation")
print("✅ Improved logging to HF Datasets")
print("✅ Better argument parsing")
print("✅ Dataset repository tracking")
else:
print("⚠️ Some tests failed. Check the logs above for details.")
print(f"\n📋 Usage Examples:")
print("Basic usage:")
print(" python push_to_huggingface.py /path/to/model username/repo-name")
print("\nWith HF Datasets:")
print(" python push_to_huggingface.py /path/to/model username/repo-name --dataset-repo username/experiments")
print("\nWith custom token:")
print(" python push_to_huggingface.py /path/to/model username/repo-name --hf-token your_token_here")
print("\nWith all options:")
print(" python push_to_huggingface.py /path/to/model username/repo-name --dataset-repo username/experiments --hf-token your_token_here --private")
if __name__ == "__main__":
main() |