98 lines
2.8 KiB
Python
98 lines
2.8 KiB
Python
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"""
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Training Service Constants
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Centralized constants to avoid magic numbers throughout the codebase
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"""
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# Data Validation Thresholds
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MIN_DATA_POINTS_REQUIRED = 30
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RECOMMENDED_DATA_POINTS = 90
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MAX_ZERO_RATIO_ERROR = 0.9 # 90% zeros = error
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HIGH_ZERO_RATIO_WARNING = 0.7 # 70% zeros = warning
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MAX_ZERO_RATIO_INTERMITTENT = 0.8 # Products with >80% zeros are intermittent
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MODERATE_SPARSITY_THRESHOLD = 0.6 # 60% zeros = moderate sparsity
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# Training Time Periods (in days)
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MIN_NON_ZERO_DAYS = 30 # Minimum days with non-zero sales
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DATA_QUALITY_DAY_THRESHOLD_LOW = 90
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DATA_QUALITY_DAY_THRESHOLD_HIGH = 365
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MAX_TRAINING_RANGE_DAYS = 730 # 2 years
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MIN_TRAINING_RANGE_DAYS = 30
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# Product Classification Thresholds
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HIGH_VOLUME_MEAN_SALES = 10.0
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HIGH_VOLUME_ZERO_RATIO = 0.3
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MEDIUM_VOLUME_MEAN_SALES = 5.0
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MEDIUM_VOLUME_ZERO_RATIO = 0.5
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LOW_VOLUME_MEAN_SALES = 2.0
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LOW_VOLUME_ZERO_RATIO = 0.7
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# Hyperparameter Optimization
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OPTUNA_TRIALS_HIGH_VOLUME = 30
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OPTUNA_TRIALS_MEDIUM_VOLUME = 25
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OPTUNA_TRIALS_LOW_VOLUME = 20
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OPTUNA_TRIALS_INTERMITTENT = 15
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OPTUNA_TIMEOUT_SECONDS = 600
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# Prophet Uncertainty Sampling
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UNCERTAINTY_SAMPLES_SPARSE_MIN = 100
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UNCERTAINTY_SAMPLES_SPARSE_MAX = 200
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UNCERTAINTY_SAMPLES_LOW_MIN = 150
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UNCERTAINTY_SAMPLES_LOW_MAX = 300
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UNCERTAINTY_SAMPLES_MEDIUM_MIN = 200
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UNCERTAINTY_SAMPLES_MEDIUM_MAX = 500
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UNCERTAINTY_SAMPLES_HIGH_MIN = 300
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UNCERTAINTY_SAMPLES_HIGH_MAX = 800
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# MAPE Calculation
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MAPE_LOW_VOLUME_THRESHOLD = 2.0
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MAPE_MEDIUM_VOLUME_THRESHOLD = 5.0
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MAPE_CALCULATION_MIN_THRESHOLD = 0.5
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MAPE_CALCULATION_MID_THRESHOLD = 1.0
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MAPE_MAX_CAP = 200.0 # Cap MAPE at 200%
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MAPE_MEDIUM_CAP = 150.0
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# Baseline MAPE estimates for improvement calculation
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BASELINE_MAPE_VERY_SPARSE = 80.0
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BASELINE_MAPE_SPARSE = 60.0
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BASELINE_MAPE_HIGH_VOLUME = 25.0
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BASELINE_MAPE_MEDIUM_VOLUME = 35.0
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BASELINE_MAPE_LOW_VOLUME = 45.0
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IMPROVEMENT_SIGNIFICANCE_THRESHOLD = 0.8 # Only claim improvement if MAPE < 80% of baseline
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# Cross-validation
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CV_N_SPLITS = 2
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CV_MIN_VALIDATION_DAYS = 7
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# Progress tracking
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PROGRESS_DATA_PREPARATION_START = 0
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PROGRESS_DATA_PREPARATION_END = 45
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PROGRESS_MODEL_TRAINING_START = 45
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PROGRESS_MODEL_TRAINING_END = 85
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PROGRESS_FINALIZATION_START = 85
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PROGRESS_FINALIZATION_END = 100
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# HTTP Client Configuration
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HTTP_TIMEOUT_DEFAULT = 30.0 # seconds
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HTTP_TIMEOUT_LONG_RUNNING = 60.0 # for training data fetches
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HTTP_MAX_RETRIES = 3
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HTTP_RETRY_BACKOFF_FACTOR = 2.0
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# WebSocket Configuration
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WEBSOCKET_PING_TIMEOUT = 60.0 # seconds
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WEBSOCKET_ACTIVITY_WARNING_THRESHOLD = 90.0 # seconds
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WEBSOCKET_CONSUMER_HEARTBEAT_INTERVAL = 10.0 # seconds
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# Synthetic Data Generation
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SYNTHETIC_TEMP_DEFAULT = 50.0
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SYNTHETIC_TEMP_VARIATION = 100.0
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SYNTHETIC_TRAFFIC_DEFAULT = 50.0
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SYNTHETIC_TRAFFIC_VARIATION = 100.0
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# Model Storage
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MODEL_FILE_EXTENSION = ".pkl"
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METADATA_FILE_EXTENSION = ".json"
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# Data Quality Scoring
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MIN_QUALITY_SCORE = 0.1
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MAX_QUALITY_SCORE = 1.0
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