Add mock and improve performance
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hub_api/persistence/mock.py
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hub_api/persistence/mock.py
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@ -1,4 +1,6 @@
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import datetime
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import json
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import threading
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from co2_emission.co2_emission import Co2Emission
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from costs.cost import Cost
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@ -8,6 +10,7 @@ from flask_restful import Resource
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from hub_api.config import Config
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from hub_api.helpers.session_helper import session, refresh_session
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from hub_api.mockup.building import Building
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from hub_api.persistence.mock import dic
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class RetrofitResults(Resource, Config):
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@ -20,20 +23,73 @@ class RetrofitResults(Resource, Config):
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'skin and system retrofit with pv': 3
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}
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def _calculate_building(self, building_results, user_id, application_id, scenario, scenario_id):
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building_info = self.database.building(building_results['building'], user_id, application_id, scenario)
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archetype = self.energy_systems_catalog.get_entry(building_info.system_name)
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mockup_building = Building(building_info, building_results, archetype)
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life_cycle = Cost(mockup_building, retrofit_scenario=scenario_id).life_cycle
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operational_co2 = Co2Emission(mockup_building).operational_co2
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global_capital_costs = life_cycle[f'Scenario {scenario_id}']['global_capital_costs']
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global_operational_costs = life_cycle[f'Scenario {scenario_id}']['global_operational_costs']
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global_capital_incomes = life_cycle[f'Scenario {scenario_id}']['global_capital_incomes']
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global_maintenance_costs = life_cycle[f'Scenario {scenario_id}']['global_maintenance_costs']
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building_results['total_heating_area'] = building_info.total_heating_area
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building_results['costs'] = {
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'total_capital_costs_skin': life_cycle[f'Scenario {scenario_id}']['total_capital_costs_skin'],
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'total_capital_costs_systems': life_cycle[f'Scenario {scenario_id}']['total_capital_costs_systems'],
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'end_of_life_costs': life_cycle[f'Scenario {scenario_id}']['end_of_life_costs'],
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'total_operational_costs': life_cycle[f'Scenario {scenario_id}']['total_operational_costs'],
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'total_maintenance_costs': life_cycle[f'Scenario {scenario_id}']['total_maintenance_costs'],
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'operational_incomes': life_cycle[f'Scenario {scenario_id}']['operational_incomes'],
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'capital_incomes': life_cycle[f'Scenario {scenario_id}']['capital_incomes'],
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'global_capital_costs': {
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'B2010_opaque_walls': global_capital_costs['B2010_opaque_walls'].tolist(),
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'B2020_transparent': global_capital_costs['B2020_transparent'].tolist(),
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'B3010_opaque_roof': global_capital_costs['B3010_opaque_roof'].tolist(),
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'B10_superstructure': global_capital_costs['B10_superstructure'].tolist(),
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'D3020_heat_generating_systems': global_capital_costs['D3020_heat_generating_systems'].tolist(),
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'D3030_cooling_generation_systems': global_capital_costs['D3030_cooling_generation_systems'].tolist(),
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'D3080_other_hvac_ahu': global_capital_costs['D3080_other_hvac_ahu'].tolist(),
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'D5020_lighting_and_branch_wiring': global_capital_costs['D5020_lighting_and_branch_wiring'].tolist(),
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'D301010_photovoltaic_system': global_capital_costs['D301010_photovoltaic_system'].tolist(),
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},
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'global_end_of_life_costs': life_cycle[f'Scenario {scenario_id}']['global_end_of_life_costs'][
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'End_of_life_costs'].tolist(),
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'global_operational_costs': {
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'fixed_costs_electricity_peak': global_operational_costs['Fixed_costs_electricity_peak'].tolist(),
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'fixed_costs_electricity_monthly': global_operational_costs['Fixed_costs_electricity_monthly'].tolist(),
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'variable_costs_electricity': global_operational_costs['Variable_costs_electricity'].tolist(),
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'fixed_costs_gas': global_operational_costs['Fixed_costs_gas'].tolist(),
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'variable_costs_gas': global_operational_costs['Variable_costs_gas'].tolist()
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},
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'global_maintenance_costs': {
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'heating_maintenance': global_maintenance_costs['Heating_maintenance'].tolist(),
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'cooling_maintenance': global_maintenance_costs['Cooling_maintenance'].tolist(),
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'pv_maintenance': global_maintenance_costs['PV_maintenance'].tolist(),
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},
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'global_operational_incomes': life_cycle[f'Scenario {scenario_id}']['global_operational_incomes'][
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'Incomes electricity'].tolist(),
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'global_capital_incomes': {
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'subsidies_construction': global_capital_incomes['Subsidies construction'].tolist(),
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'subsidies_hvac': global_capital_incomes['Subsidies HVAC'].tolist(),
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'subsidies_pv': global_capital_incomes['Subsidies PV'].tolist()
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}
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}
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building_results['operational_co2'] = operational_co2
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def post(self):
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"""
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API call for requesting a specified list of enriched persistence
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"""
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# todo: cost and co2 libraries are using default canadians values, in the future need to be optionally API configurable
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session_id = request.headers.get('session-id', None)
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if session_id == "deece4fa-6809-42b1-a4e6-36e9f3c6edc2":
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return Response(json.dumps(dic), status=200)
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token = request.headers.get('token', None)
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application_uuid = request.headers.get('application-uuid', None)
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_session = refresh_session(session_id, token, application_uuid)
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if _session is None:
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return Response(json.dumps({'error': 'unauthorized'}), status=403)
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application_id = 1
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user_id = 1
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token = {'token': 1}
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else:
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token = {'token': _session['token']}
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application_id = session(session_id)['application_id']
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@ -41,64 +97,25 @@ class RetrofitResults(Resource, Config):
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payload = request.get_json()
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if 'scenarios' not in payload:
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return Response(json.dumps({'error': 'Bad request'}), status=400, headers=token)
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start = datetime.datetime.now()
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results = self.database.results(user_id, application_id, payload)
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print(f'{datetime.datetime.now()- start}')
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if results == {}:
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# no data found for the given parameters
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return Response(json.dumps({'result': 'succeed', 'results': results}), status=200, headers=token)
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# deserialize the response to return pure json
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start = datetime.datetime.now()
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t = []
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for scenario in results:
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scenario_id = self._scenario_ids[scenario]
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for building_results in results[scenario]:
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building_info = self.database.building(building_results['building'], user_id, application_id, scenario)
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archetype = self.energy_systems_catalog.get_entry(building_info.system_name)
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mockup_building = Building(building_info, building_results, archetype)
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life_cycle = Cost(mockup_building, retrofit_scenario=scenario_id).life_cycle
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operational_co2 = Co2Emission(mockup_building).operational_co2
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global_capital_costs = life_cycle[f'Scenario {scenario_id}']['global_capital_costs']
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global_operational_costs = life_cycle[f'Scenario {scenario_id}']['global_operational_costs']
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global_capital_incomes = life_cycle[f'Scenario {scenario_id}']['global_capital_incomes']
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global_maintenance_costs = life_cycle[f'Scenario {scenario_id}']['global_maintenance_costs']
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building_results['total_heating_area'] = building_info.total_heating_area
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building_results['costs'] = {
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'total_capital_costs_skin': life_cycle[f'Scenario {scenario_id}']['total_capital_costs_skin'],
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'total_capital_costs_systems': life_cycle[f'Scenario {scenario_id}']['total_capital_costs_systems'],
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'end_of_life_costs': life_cycle[f'Scenario {scenario_id}']['end_of_life_costs'],
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'total_operational_costs': life_cycle[f'Scenario {scenario_id}']['total_operational_costs'],
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'total_maintenance_costs': life_cycle[f'Scenario {scenario_id}']['total_maintenance_costs'],
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'operational_incomes': life_cycle[f'Scenario {scenario_id}']['operational_incomes'],
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'capital_incomes': life_cycle[f'Scenario {scenario_id}']['capital_incomes'],
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'global_capital_costs': {
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'B2010_opaque_walls': global_capital_costs['B2010_opaque_walls'].tolist(),
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'B2020_transparent': global_capital_costs['B2020_transparent'].tolist(),
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'B3010_opaque_roof': global_capital_costs['B3010_opaque_roof'].tolist(),
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'B10_superstructure': global_capital_costs['B10_superstructure'].tolist(),
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'D3020_heat_generating_systems': global_capital_costs['D3020_heat_generating_systems'].tolist(),
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'D3030_cooling_generation_systems': global_capital_costs['D3030_cooling_generation_systems'].tolist(),
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'D3080_other_hvac_ahu': global_capital_costs['D3080_other_hvac_ahu'].tolist(),
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'D5020_lighting_and_branch_wiring': global_capital_costs['D5020_lighting_and_branch_wiring'].tolist(),
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'D301010_photovoltaic_system': global_capital_costs['D301010_photovoltaic_system'].tolist(),
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},
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'global_end_of_life_costs': life_cycle[f'Scenario {scenario_id}']['global_end_of_life_costs'][
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'End_of_life_costs'].tolist(),
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'global_operational_costs': {
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'fixed_costs_electricity_peak': global_operational_costs['Fixed_costs_electricity_peak'].tolist(),
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'fixed_costs_electricity_monthly': global_operational_costs['Fixed_costs_electricity_monthly'].tolist(),
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'variable_costs_electricity': global_operational_costs['Variable_costs_electricity'].tolist(),
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'fixed_costs_gas': global_operational_costs['Fixed_costs_gas'].tolist(),
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'variable_costs_gas': global_operational_costs['Variable_costs_gas'].tolist()
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},
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'global_maintenance_costs': {
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'heating_maintenance': global_maintenance_costs['Heating_maintenance'].tolist(),
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'cooling_maintenance': global_maintenance_costs['Cooling_maintenance'].tolist(),
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'pv_maintenance': global_maintenance_costs['PV_maintenance'].tolist(),
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},
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'global_operational_incomes': life_cycle[f'Scenario {scenario_id}']['global_operational_incomes'][
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'Incomes electricity'].tolist(),
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'global_capital_incomes': {
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'subsidies_construction': global_capital_incomes['Subsidies construction'].tolist(),
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'subsidies_hvac': global_capital_incomes['Subsidies HVAC'].tolist(),
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'subsidies_pv': global_capital_incomes['Subsidies PV'].tolist()
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}
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}
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building_results['operational_co2'] = operational_co2
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f = threading.Thread(
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target=self._calculate_building,
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args=(building_results, user_id, application_id, scenario, scenario_id)
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)
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t.append(f)
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f.start()
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for f in t:
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f.join()
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print(f'retrieve calculations {datetime.datetime.now() - start}')
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return Response(json.dumps({'result': 'succeed', 'results': results}), status=200, headers=token)
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