hub/non_functional_tests/test_sensors_factory.py

"""
TestSensorsFactory test and validate the city model structure schedules
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2021 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
"""
from pathlib import Path
from unittest import TestCase
import pandas as pd
from city_model_structure.city import City
from city_model_structure.building import Building
from imports.sensors_factory import SensorsFactory



class TestSensorsFactory(TestCase):
  """
  TestSchedulesFactory TestCase
  """

  def setUp(self) -> None:
    """
    Configure test environment
    :return:
    """
    self._city = TestSensorsFactory._mockup_city()
    self._end_point = (Path(__file__).parent / 'tests_data/EV-GM energy demand weekly report_01-26-20_04-30.csv').resolve()


  @staticmethod
  def _mockup_city():
    lower_corner = [0, 0, 0]
    upper_corner = [10, 10, 10]
    srs_name = 'Mockup_city'
    buildings = []
    lod = 2
    surfaces = []
    year_of_construction = 2021
    function = "office"
    buildings.append(Building("EV", lod, surfaces, year_of_construction, function, lower_corner))
    buildings.append(Building("GM", lod, surfaces, year_of_construction, function, lower_corner))
    return City(lower_corner, upper_corner, srs_name, buildings)


  def test_city_with_sensors(self):
    SensorsFactory('cec', self._city, self._end_point).enrich()
    for building in self._city.buildings:
      for sensor in building.sensors:
        self.assertTrue(sensor.type is 'ConcordiaEnergySensor')
        # force update last row
        update = pd.DataFrame([['2020-01-19 23:55:00', '12345.0']], columns=["Date time", "Energy consumption"])
        update = update.astype({"Date time": 'datetime64', "Energy consumption":'float64'})
        sensor.add_period(update)
        row = sensor.measures.loc[sensor.measures["Date time"] == '2020-01-19 23:55:00']
        print(row["Energy consumption"][0])
        self.assertTrue(row[0]["Energy consumption"] is '12345.0')