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unit test now retrieves the saved data and verify the consistency

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Guille 2024-03-26 06:35:01 +01:00
parent fac3ecd719
commit 374ca7b138
1 changed files with 41 additions and 31 deletions
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72
unittests/test_db_factory.py
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@ -5,7 +5,6 @@ Copyright © 2022 Concordia CERC group
Project Coder Peter Yefi peteryefi@gmail.com
"""
import glob
import json
import os
import unittest
from unittest import TestCase
@ -16,6 +15,7 @@ from unittests.control import Control
control = Control()
class TestDBFactory(TestCase):
"""
TestDBFactory
@ -59,6 +59,9 @@ TestDBFactory
control.application_id,
control.user_id)
city_objects_id = []
request_values = {
'scenarios': [{'current status': ['1']}]
}
for building in control.city.buildings:
_building = control.database.building_info(building.name, city_id)
if cte.MONTH not in building.cooling_demand:
@ -96,36 +99,36 @@ TestDBFactory
for x in building.onsite_electrical_production[cte.MONTH]]
yearly_on_site_electrical_production = [x * cte.WATTS_HOUR_TO_JULES
for x in building.onsite_electrical_production[cte.YEAR]]
results = json.dumps({cte.INSEL_MEB: [
{'monthly_cooling_peak_load': monthly_cooling_peak_load},
{'yearly_cooling_peak_load': yearly_cooling_peak_load},
{'monthly_heating_peak_load': monthly_heating_peak_load},
{'yearly_heating_peak_load': yearly_heating_peak_load},
{'monthly_lighting_peak_load': monthly_lighting_peak_load},
{'yearly_lighting_peak_load': yearly_lighting_peak_load},
{'monthly_appliances_peak_load': monthly_appliances_peak_load},
{'yearly_appliances_peak_load': yearly_appliances_peak_load},
{'monthly_cooling_demand': monthly_cooling_demand},
{'yearly_cooling_demand': yearly_cooling_demand},
{'monthly_heating_demand': monthly_heating_demand},
{'yearly_heating_demand': yearly_heating_demand},
{'monthly_lighting_electrical_demand': monthly_lighting_electrical_demand},
{'yearly_lighting_electrical_demand': yearly_lighting_electrical_demand},
{'monthly_appliances_electrical_demand': monthly_appliances_electrical_demand},
{'yearly_appliances_electrical_demand': yearly_appliances_electrical_demand},
{'monthly_domestic_hot_water_heat_demand': monthly_domestic_hot_water_heat_demand},
{'yearly_domestic_hot_water_heat_demand': yearly_domestic_hot_water_heat_demand},
{'monthly_heating_consumption': monthly_heating_consumption},
{'yearly_heating_consumption': yearly_heating_consumption},
{'monthly_cooling_consumption': monthly_cooling_consumption},
{'yearly_cooling_consumption': yearly_cooling_consumption},
{'monthly_domestic_hot_water_consumption': monthly_domestic_hot_water_consumption},
{'yearly_domestic_hot_water_consumption': yearly_domestic_hot_water_consumption},
{'monthly_distribution_systems_electrical_consumption': monthly_distribution_systems_electrical_consumption},
{'yearly_distribution_systems_electrical_consumption': yearly_distribution_systems_electrical_consumption},
{'monthly_on_site_electrical_production': monthly_on_site_electrical_production},
{'yearly_on_site_electrical_production': yearly_on_site_electrical_production}
]})
results = {cte.INSEL_MEB: {
'monthly_cooling_peak_load': monthly_cooling_peak_load,
'yearly_cooling_peak_load': yearly_cooling_peak_load,
'monthly_heating_peak_load': monthly_heating_peak_load,
'yearly_heating_peak_load': yearly_heating_peak_load,
'monthly_lighting_peak_load': monthly_lighting_peak_load,
'yearly_lighting_peak_load': yearly_lighting_peak_load,
'monthly_appliances_peak_load': monthly_appliances_peak_load,
'yearly_appliances_peak_load': yearly_appliances_peak_load,
'monthly_cooling_demand': monthly_cooling_demand,
'yearly_cooling_demand': yearly_cooling_demand,
'monthly_heating_demand': monthly_heating_demand,
'yearly_heating_demand': yearly_heating_demand,
'monthly_lighting_electrical_demand': monthly_lighting_electrical_demand,
'yearly_lighting_electrical_demand': yearly_lighting_electrical_demand,
'monthly_appliances_electrical_demand': monthly_appliances_electrical_demand,
'yearly_appliances_electrical_demand': yearly_appliances_electrical_demand,
'monthly_domestic_hot_water_heat_demand': monthly_domestic_hot_water_heat_demand,
'yearly_domestic_hot_water_heat_demand': yearly_domestic_hot_water_heat_demand,
'monthly_heating_consumption': monthly_heating_consumption,
'yearly_heating_consumption': yearly_heating_consumption,
'monthly_cooling_consumption': monthly_cooling_consumption,
'yearly_cooling_consumption': yearly_cooling_consumption,
'monthly_domestic_hot_water_consumption': monthly_domestic_hot_water_consumption,
'yearly_domestic_hot_water_consumption': yearly_domestic_hot_water_consumption,
'monthly_distribution_systems_electrical_consumption': monthly_distribution_systems_electrical_consumption,
'yearly_distribution_systems_electrical_consumption': yearly_distribution_systems_electrical_consumption,
'monthly_on_site_electrical_production': monthly_on_site_electrical_production,
'yearly_on_site_electrical_production': yearly_on_site_electrical_production
}}
db_building_id = _building.id
city_objects_id.append(db_building_id)
@ -134,6 +137,13 @@ TestDBFactory
results, city_object_id=db_building_id)
self.assertEqual(17, len(city_objects_id), 'wrong number of results')
self.assertIsNotNone(city_objects_id[0], 'city_object_id is None')
results = control.database.results(control.user_id, control.application_id, request_values)
self.assertEqual(
28,
len(results['current status'][0]['insel meb'].keys()),
'wrong number of results after retrieve'
)
for _id in city_objects_id:
control.database.delete_results_by_name('insel meb', city_object_id=_id)
control.database.delete_city(city_id)