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config/constants.py

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+"""
+Application constants for Chronos 2 Forecasting App
+"""
+
+# Chronos-2 Model from https://huggingface.co/papers/2510.15821
+# The official Chronos-2 model with group attention mechanism
+# Supports: univariate, multivariate, and covariate-informed forecasting
+CHRONOS2_MODEL = 's3://autogluon/chronos-2'
+
+# Forecast horizons with labels
+FORECAST_HORIZONS = {
+    '1D': 1,
+    '1W': 7,
+    '1M': 30,
+    '3M': 90,
+    '6M': 180,
+    '1Y': 365
+}
+
+# Confidence levels
+CONFIDENCE_LEVELS = [80, 90, 95, 99]
+
+# File upload settings
+MAX_FILE_SIZE = 100 * 1024 * 1024  # 100MB
+ALLOWED_EXTENSIONS = ['csv', 'xlsx', 'xls']
+
+# Data processing settings
+MAX_MISSING_PERCENT = 10
+MIN_DATA_POINTS_MULTIPLIER = 2
+MAX_CHART_POINTS = 10000
+MAX_PREDICTION_HISTORY = 10
+
+# UI colors
+COLORS = {
+    'primary': '#0066CC',
+    'secondary': '#5C6BC0',
+    'success': '#4CAF50',
+    'warning': '#FF9800',
+    'danger': '#F44336',
+    'info': '#2196F3',
+    'historical': '#0066CC',
+    'forecast': '#FFD700',
+    'separator': '#999999',
+    'confidence': {
+        80: 'rgba(255, 215, 0, 0.4)',
+        90: 'rgba(255, 215, 0, 0.3)',
+        95: 'rgba(255, 215, 0, 0.2)',
+        99: 'rgba(255, 215, 0, 0.1)'
+    }
+}
+
+# Chart configuration
+CHART_CONFIG = {
+    'displayModeBar': True,
+    'displaylogo': False,
+    'modeBarButtonsToRemove': ['lasso2d', 'select2d'],
+    'toImageButtonOptions': {
+        'format': 'png',
+        'filename': 'chronos_forecast',
+        'height': 800,
+        'width': 1200,
+        'scale': 2
+    }
+}
+
+# Performance settings
+DEBOUNCE_DELAY = 500  # milliseconds
+LARGE_DATASET_THRESHOLD = 100000
+
+# Date format patterns to try
+DATE_FORMATS = [
+    '%Y-%m-%d',
+    '%Y/%m/%d',
+    '%d-%m-%Y',
+    '%d/%m/%Y',
+    '%m-%d-%Y',
+    '%m/%d/%Y',
+    '%Y-%m-%d %H:%M:%S',
+    '%Y/%m/%d %H:%M:%S',
+    '%d-%m-%Y %H:%M:%S',
+    '%d/%m/%Y %H:%M:%S'
+]

config/settings.py

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+"""
+Configuration settings for different deployment environments
+"""
+
+import os
+from pathlib import Path
+
+# Base directory
+BASE_DIR = Path(__file__).parent.parent
+
+# Detect environment
+ENVIRONMENT = os.environ.get('ENVIRONMENT', 'local')
+IS_DATABRICKS = os.environ.get('DATABRICKS_RUNTIME_VERSION') is not None
+
+# Local development settings
+LOCAL_CONFIG = {
+    'host': '127.0.0.1',
+    'port': 8050,
+    'debug': True,
+    'model_cache': str(BASE_DIR / 'cache'),
+    'upload_folder': str(BASE_DIR / 'uploads'),
+    'datasets_folder': str(BASE_DIR / 'datasets'),
+    'max_workers': 1,
+    'use_reloader': True
+}
+
+# Databricks deployment settings
+DATABRICKS_CONFIG = {
+    'host': '0.0.0.0',
+    'port': int(os.environ.get('DATABRICKS_APP_PORT', 8080)),
+    'debug': False,
+    'model_cache': '/tmp/model_cache',
+    'upload_folder': '/tmp/uploads',
+    'datasets_folder': '/dbfs/datasets',
+    'max_workers': 4,
+    'use_reloader': False
+}
+
+# Select configuration based on environment
+CONFIG = DATABRICKS_CONFIG if IS_DATABRICKS else LOCAL_CONFIG
+
+# Device configuration - defaults to CUDA with automatic CPU fallback
+DEVICE = os.environ.get('DEVICE', 'cuda')  # 'cuda' (with CPU fallback), 'cpu', or 'auto'
+
+# Logging configuration
+LOG_LEVEL = os.environ.get('LOG_LEVEL', 'INFO' if not CONFIG['debug'] else 'DEBUG')
+LOG_FORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+LOG_FILE = str(BASE_DIR / 'logs' / 'chronos2_app.log')
+
+# Create required directories
+def setup_directories():
+    """Create required directories if they don't exist"""
+    for key in ['model_cache', 'upload_folder', 'datasets_folder']:
+        path = Path(CONFIG[key])
+        path.mkdir(parents=True, exist_ok=True)
+
+    # Create logs directory
+    Path(LOG_FILE).parent.mkdir(parents=True, exist_ok=True)
+
+# Model configuration
+MODEL_CONFIG = {
+    'warmup_enabled': True,
+    'warmup_length': 100,
+    'warmup_horizon': 10,
+    'cache_enabled': True,
+    'memory_limit_gb': 6
+}
+
+# App metadata
+APP_METADATA = {
+    'title': 'Chronos 2 Time Series Forecasting',
+    'subtitle': 'Production-Ready ML Model Testing Interface',
+    'version': '1.0.0',
+    'author': 'Your Organization'
+}