"""
Schedules retrieve the specific usage schedules module for the given standard
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import pandas as pd
from imports.schedules.helpers.schedules_helper import SchedulesHelper
from city_model_structure.attributes.schedule import Schedule
import helpers.constants as cte


class ComnetSchedules:
  """
  Comnet based schedules
  """
  def __init__(self, city, base_path):
    self._city = city
    self._comnet_schedules_path = base_path / 'comnet_archetypes.xlsx'
    xls = pd.ExcelFile(self._comnet_schedules_path)
    for building in city.buildings:
      for usage_zone in building.usage_zones:
        schedules = []
        usage_schedules = pd.read_excel(xls,
                                        sheet_name=SchedulesHelper.comnet_from_usage(usage_zone.usage),
                                        skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
        number_of_schedule_types = 13
        schedules_per_schedule_type = 3
        day_types = dict({'week_day': 0, 'saturday': 1, 'sunday': 2})
        for schedule_types in range(0, number_of_schedule_types):
          name = ''
          data_type = ''
          for schedule_day in range(0, schedules_per_schedule_type):
            schedule = Schedule()
            schedule.time_step = cte.HOUR
            schedule.time_range = cte.DAY
            row_cells = usage_schedules.iloc[schedules_per_schedule_type*schedule_types + schedule_day]
            if schedule_day == day_types['week_day']:
              name = row_cells[0]
              data_type = row_cells[1]
              schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY]
            elif schedule_day == day_types['saturday']:
              schedule.day_types = [cte.SATURDAY]
            else:
              schedule.day_types = [cte.SUNDAY]
            schedule.type = name
            schedule.data_type = SchedulesHelper.data_type_from_comnet(data_type)
            if schedule.data_type == cte.TEMPERATURE:
              values = []
              for cell in row_cells[schedules_per_schedule_type:].to_numpy():
                values.append((float(cell) - 32.) * 5 / 9)
              schedule.values = values
            else:
              schedule.values = row_cells[schedules_per_schedule_type:].to_numpy()
            schedules.append(schedule)
        usage_zone.schedules = schedules