"""
CaUsageParameters model the usage properties
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import sys

from imports.geometry.helpers.geometry_helper import GeometryHelper
from imports.usage.hft_usage_interface import HftUsageInterface
from imports.usage.helpers.usage_helper import UsageHelper
from city_model_structure.building_demand.usage_zone import UsageZone
from city_model_structure.building_demand.internal_gains import InternalGains
from city_model_structure.building_demand.occupancy import Occupancy
from city_model_structure.building_demand.appliances import Appliances
from city_model_structure.building_demand.thermal_control import ThermalControl


class CaUsageParameters(HftUsageInterface):
  """
  CaUsageParameters class
  """
  def __init__(self, city, base_path):
    super().__init__(base_path, 'ca_archetypes_reduced.xml')
    self._city = city

  def enrich_buildings(self):
    """
    Returns the city with the usage parameters assigned to the buildings
    :return:
    """
    city = self._city
    for building in city.buildings:
      usage = GeometryHelper().libs_usage_from_libs_function(building.function)
      try:
        archetype = self._search_archetype(usage)
      except KeyError:
        sys.stderr.write(f'Building {building.name} has unknown archetype for building function:'
                         f' {building.function}\n')
        return

      for internal_zone in building.internal_zones:
          usage_zone = UsageZone()
          usage_zone.usage = building.function
          usage_zone.percentage = 1
          self._assign_values_usage_zone(usage_zone, archetype)
          internal_zone.usage_zones = [usage_zone]

  def _search_archetype(self, libs_usage):
    building_usage = UsageHelper().hft_from_libs_usage(libs_usage)
    for building_archetype in self._usage_archetypes:
      if building_archetype.usage == building_usage:
        return building_archetype
    return None

  @staticmethod
  def _assign_values_usage_zone(usage_zone, archetype):
    # Due to the fact that python is not a typed language, the wrong object type is assigned to
    # usage_zone.internal_gains when writing usage_zone.internal_gains = archetype.internal_gains.
    # Therefore, this walk around has been done.
    usage_zone.mechanical_air_change = archetype.mechanical_air_change
    _occupancy = Occupancy()
    _occupancy.occupancy_density = archetype.occupancy.occupancy_density
    usage_zone.occupancy = _occupancy
    usage_zone.hours_day = archetype.hours_day
    usage_zone.days_year = archetype.days_year
    _appliances = Appliances()
    _appliances.appliances_density = archetype.appliances.appliances_density
    usage_zone.appliances = _appliances
    _control = ThermalControl()
    _control.mean_heating_set_point = archetype.thermal_control.mean_heating_set_point
    _control.heating_set_back = archetype.thermal_control.heating_set_back
    _control.mean_cooling_set_point = archetype.thermal_control.mean_cooling_set_point
    usage_zone.thermal_control = _control
    _internal_gains = []
    for archetype_internal_gain in archetype.not_detailed_source_mean_annual_internal_gains:
      _internal_gain = InternalGains()
      _internal_gain.average_internal_gain = archetype_internal_gain.average_internal_gain
      _internal_gain.convective_fraction = archetype_internal_gain.convective_fraction
      _internal_gain.radiative_fraction = archetype_internal_gain.radiative_fraction
      _internal_gain.latent_fraction = archetype_internal_gain.latent_fraction
      _internal_gains.append(_internal_gain)
    usage_zone.not_detailed_source_mean_annual_internal_gains = _internal_gains