"""Domain constants for heating prediction business logic.

These constants define the business rules for heating anticipation calculations.
They are part of the domain layer and independent of infrastructure concerns.
"""

# Anticipation time constraints (in minutes)
MIN_ANTICIPATION_TIME = 10  # Minimum anticipation before heating starts
MAX_ANTICIPATION_TIME = 360  # Maximum anticipation (6 hours)
DEFAULT_ANTICIPATION_BUFFER = 5  # Safety buffer to ensure target is reached on time

# Heating slope thresholds (in °C/hour)
MIN_VALID_SLOPE = 0.1  # Minimum valid heating slope (technical threshold)
MINIMUM_REALISTIC_LHS = 0.2  # Minimum realistic LHS for effective heating (business threshold)
DEFAULT_LEARNED_SLOPE = 2.0  # Default slope when no learning data exists

# Dead time (in minutes)
DEFAULT_DEAD_TIME_MINUTES = 0.0  # Default dead time when no learning data exists

# Environmental correction factors
OUTDOOR_TEMP_REFERENCE = 20.0  # Reference outdoor temperature (°C)
OUTDOOR_TEMP_FACTOR = 0.05  # Impact factor per degree difference
HUMIDITY_REFERENCE = 50.0  # Reference humidity percentage
HUMIDITY_FACTOR = 0.002  # Impact factor per humidity percentage point
CLOUD_COVERAGE_FACTOR = 0.001  # Solar gain factor per cloud coverage percentage

# Confidence thresholds
HIGH_CONFIDENCE_SLOPE = 1.5  # Slope threshold for high confidence (°C/h)
MEDIUM_CONFIDENCE_SLOPE = 0.5  # Slope threshold for medium confidence (°C/h)
BASE_HIGH_CONFIDENCE = 0.9  # Base confidence with good slope
BASE_MEDIUM_CONFIDENCE = 0.75  # Base confidence with medium slope
BASE_LOW_CONFIDENCE = 0.6  # Base confidence with low slope
CONFIDENCE_BOOST_PER_SENSOR = 0.05  # Confidence increase per environmental sensor