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#!/usr/bin/env python3
"""
Configuration script for Trackio environment variables
"""
import os
import json
from datetime import datetime
def configure_trackio():
"""Configure Trackio environment variables"""
print("🔧 Trackio Configuration")
print("=" * 40)
# Current configuration
current_config = {
'HF_TOKEN': os.environ.get('HF_TOKEN', 'Not set'),
'TRACKIO_DATASET_REPO': os.environ.get('TRACKIO_DATASET_REPO', 'tonic/trackio-experiments'),
'SPACE_ID': os.environ.get('SPACE_ID', 'Not set')
}
print("📋 Current Configuration:")
for key, value in current_config.items():
status = "✅" if value != "Not set" else "❌"
print(f" {status} {key}: {value}")
print("\n🎯 Configuration Options:")
print("1. Set HF_TOKEN - Required for dataset access")
print("2. Set TRACKIO_DATASET_REPO - Dataset repository (optional)")
print("3. Set SPACE_ID - HF Space ID (auto-detected)")
# Check if running on HF Spaces
if os.environ.get('SPACE_ID'):
print("\n🚀 Running on Hugging Face Spaces")
print(f" Space ID: {os.environ.get('SPACE_ID')}")
# Validate configuration
print("\n🔍 Configuration Validation:")
# Check HF_TOKEN
if current_config['HF_TOKEN'] != 'Not set':
print("✅ HF_TOKEN is set")
print(" This allows the app to read/write to HF Datasets")
else:
print("❌ HF_TOKEN is not set")
print(" Please set HF_TOKEN to enable dataset functionality")
print(" Get your token from: https://huggingface.co/settings/tokens")
# Check dataset repository
dataset_repo = current_config['TRACKIO_DATASET_REPO']
print(f"📊 Dataset Repository: {dataset_repo}")
# Test dataset access if token is available
if current_config['HF_TOKEN'] != 'Not set':
print("\n🧪 Testing Dataset Access...")
try:
from datasets import load_dataset
dataset = load_dataset(dataset_repo, token=current_config['HF_TOKEN'])
print(f"✅ Successfully loaded dataset: {dataset_repo}")
# Show experiment count
if 'train' in dataset:
experiment_count = len(dataset['train'])
print(f"📈 Found {experiment_count} experiments in dataset")
# Show sample experiments
if experiment_count > 0:
print("🔬 Sample experiments:")
for i, row in enumerate(dataset['train'][:3]): # Show first 3
exp_id = row.get('experiment_id', 'Unknown')
name = row.get('name', 'Unnamed')
print(f" {i+1}. {exp_id}: {name}")
except Exception as e:
print(f"❌ Failed to load dataset: {e}")
print(" This might be normal if the dataset doesn't exist yet")
# Generate configuration file
config_file = "trackio_config.json"
config_data = {
'hf_token': current_config['HF_TOKEN'],
'dataset_repo': current_config['TRACKIO_DATASET_REPO'],
'space_id': current_config['SPACE_ID'],
'last_updated': datetime.now().isoformat(),
'notes': 'Trackio configuration - set these as environment variables in your HF Space'
}
with open(config_file, 'w') as f:
json.dump(config_data, f, indent=2)
print(f"\n💾 Configuration saved to: {config_file}")
# Show environment variable commands
print("\n📝 Environment Variables for HF Space:")
print("=" * 50)
print(f"HF_TOKEN={current_config['HF_TOKEN']}")
print(f"TRACKIO_DATASET_REPO={current_config['TRACKIO_DATASET_REPO']}")
print("\n🎯 Next Steps:")
print("1. Set HF_TOKEN in your HF Space environment variables")
print("2. Optionally set TRACKIO_DATASET_REPO to use a different dataset")
print("3. Deploy your updated app.py to the Space")
print("4. Run setup_hf_dataset.py if you haven't created the dataset yet")
def show_usage_examples():
"""Show usage examples for different dataset repositories"""
print("\n📚 Usage Examples")
print("=" * 30)
examples = [
{
'name': 'Default Dataset',
'repo': 'tonic/trackio-experiments',
'description': 'Default dataset for your experiments'
},
{
'name': 'Personal Dataset',
'repo': 'your-username/trackio-experiments',
'description': 'Your personal experiment dataset'
},
{
'name': 'Team Dataset',
'repo': 'your-org/team-experiments',
'description': 'Shared dataset for team experiments'
},
{
'name': 'Project Dataset',
'repo': 'your-username/smollm3-experiments',
'description': 'Dataset specific to SmolLM3 experiments'
}
]
for i, example in enumerate(examples, 1):
print(f"{i}. {example['name']}")
print(f" Repository: {example['repo']}")
print(f" Description: {example['description']}")
print(f" Set with: TRACKIO_DATASET_REPO={example['repo']}")
print()
if __name__ == "__main__":
configure_trackio()
show_usage_examples() |