"""
Training Service Constants
Centralized constants to avoid magic numbers throughout the codebase
"""

# Data Validation Thresholds
MIN_DATA_POINTS_REQUIRED = 30
RECOMMENDED_DATA_POINTS = 90
MAX_ZERO_RATIO_ERROR = 0.9  # 90% zeros = error
HIGH_ZERO_RATIO_WARNING = 0.7  # 70% zeros = warning
MAX_ZERO_RATIO_INTERMITTENT = 0.8  # Products with >80% zeros are intermittent
MODERATE_SPARSITY_THRESHOLD = 0.6  # 60% zeros = moderate sparsity

# Training Time Periods (in days)
MIN_NON_ZERO_DAYS = 30  # Minimum days with non-zero sales
DATA_QUALITY_DAY_THRESHOLD_LOW = 90
DATA_QUALITY_DAY_THRESHOLD_HIGH = 365
MAX_TRAINING_RANGE_DAYS = 730  # 2 years
MIN_TRAINING_RANGE_DAYS = 30

# Product Classification Thresholds
HIGH_VOLUME_MEAN_SALES = 10.0
HIGH_VOLUME_ZERO_RATIO = 0.3
MEDIUM_VOLUME_MEAN_SALES = 5.0
MEDIUM_VOLUME_ZERO_RATIO = 0.5
LOW_VOLUME_MEAN_SALES = 2.0
LOW_VOLUME_ZERO_RATIO = 0.7

# Hyperparameter Optimization
OPTUNA_TRIALS_HIGH_VOLUME = 30
OPTUNA_TRIALS_MEDIUM_VOLUME = 25
OPTUNA_TRIALS_LOW_VOLUME = 20
OPTUNA_TRIALS_INTERMITTENT = 15
OPTUNA_TIMEOUT_SECONDS = 600

# Prophet Uncertainty Sampling
UNCERTAINTY_SAMPLES_SPARSE_MIN = 100
UNCERTAINTY_SAMPLES_SPARSE_MAX = 200
UNCERTAINTY_SAMPLES_LOW_MIN = 150
UNCERTAINTY_SAMPLES_LOW_MAX = 300
UNCERTAINTY_SAMPLES_MEDIUM_MIN = 200
UNCERTAINTY_SAMPLES_MEDIUM_MAX = 500
UNCERTAINTY_SAMPLES_HIGH_MIN = 300
UNCERTAINTY_SAMPLES_HIGH_MAX = 800

# MAPE Calculation
MAPE_LOW_VOLUME_THRESHOLD = 2.0
MAPE_MEDIUM_VOLUME_THRESHOLD = 5.0
MAPE_CALCULATION_MIN_THRESHOLD = 0.5
MAPE_CALCULATION_MID_THRESHOLD = 1.0
MAPE_MAX_CAP = 200.0  # Cap MAPE at 200%
MAPE_MEDIUM_CAP = 150.0

# Baseline MAPE estimates for improvement calculation
BASELINE_MAPE_VERY_SPARSE = 80.0
BASELINE_MAPE_SPARSE = 60.0
BASELINE_MAPE_HIGH_VOLUME = 25.0
BASELINE_MAPE_MEDIUM_VOLUME = 35.0
BASELINE_MAPE_LOW_VOLUME = 45.0
IMPROVEMENT_SIGNIFICANCE_THRESHOLD = 0.8  # Only claim improvement if MAPE < 80% of baseline

# Cross-validation
CV_N_SPLITS = 2
CV_MIN_VALIDATION_DAYS = 7

# Progress tracking
PROGRESS_DATA_PREPARATION_START = 0
PROGRESS_DATA_PREPARATION_END = 45
PROGRESS_MODEL_TRAINING_START = 45
PROGRESS_MODEL_TRAINING_END = 85
PROGRESS_FINALIZATION_START = 85
PROGRESS_FINALIZATION_END = 100

# HTTP Client Configuration
HTTP_TIMEOUT_DEFAULT = 30.0  # seconds
HTTP_TIMEOUT_LONG_RUNNING = 60.0  # for training data fetches
HTTP_MAX_RETRIES = 3
HTTP_RETRY_BACKOFF_FACTOR = 2.0

# WebSocket Configuration
WEBSOCKET_PING_TIMEOUT = 60.0  # seconds
WEBSOCKET_ACTIVITY_WARNING_THRESHOLD = 90.0  # seconds
WEBSOCKET_CONSUMER_HEARTBEAT_INTERVAL = 10.0  # seconds

# Synthetic Data Generation
SYNTHETIC_TEMP_DEFAULT = 50.0
SYNTHETIC_TEMP_VARIATION = 100.0
SYNTHETIC_TRAFFIC_DEFAULT = 50.0
SYNTHETIC_TRAFFIC_VARIATION = 100.0

# Model Storage
MODEL_FILE_EXTENSION = ".pkl"
METADATA_FILE_EXTENSION = ".json"

# Data Quality Scoring
MIN_QUALITY_SCORE = 0.1
MAX_QUALITY_SCORE = 1.0