Merge remote-tracking branch 'origin/main' into main
# Conflicts: # hub_api/mockup/building.py
This commit is contained in:
commit
31b52f6d37
12
bootstrap.py
12
bootstrap.py
@ -9,6 +9,7 @@ import datetime
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import flask
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import yaml
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from pathlib import Path
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from flasgger import LazyJSONEncoder, Swagger
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from flask import Response
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from flask_restful import Api
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@ -47,20 +48,21 @@ api.add_resource(Costs, '/v1.4/workflow/costs')
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api.add_resource(EnergyPlus, '/v1.4/workflow/energy-plus')
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api.add_resource(InselMonthlyEnergyBalance, '/v1.4/workflow/insel-monthly-energy-balance')
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yml_path = Path('./docs/openapi-specs.yml').resolve()
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with open("hub_api/docs/openapi-specs.yml", "r") as stream:
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with open(yml_path, "r") as stream:
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swagger_config = {
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"headers": [],
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"specs": [
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{
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"endpoint": 'apispec',
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"route": '/v1.4/apispec.json',
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"endpoint": '/api/apispec',
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"route": '/api/apispec/apispec.json',
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"rule_filter": lambda rule: True, # all in
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"model_filter": lambda tag: True, # all in
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}
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],
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"static_url_path": "/api/v1.4/static",
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"specs_route": "/v1.4/api-docs/",
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"static_url_path": "/api/static",
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"specs_route": "/api/api-docs/",
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"openapi": "3.0.0"
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}
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try:
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@ -15,9 +15,9 @@ from hub.catalog_factories.energy_systems_catalog_factory import EnergySystemsCa
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class Config:
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def __init__(self):
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dotenv_path = "{}/.env".format(os.path.expanduser('~'))
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dotenv_path = "{}/.local/etc/hub_api/.env".format(os.path.expanduser('~'))
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if platform.system() == 'Linux':
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dotenv_path = Path('/home/guille/.local/etc/hub/.env').resolve()
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dotenv_path = Path(dotenv_path).resolve()
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environment = 'TEST'
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database_name = 'montreal_retrofit_test'
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@ -9,7 +9,7 @@ externalDocs:
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description: Find out more about Swagger
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url: http://swagger.io
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paths:
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/v1.4/uptime:
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/api/v1.4/uptime:
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get:
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parameters:
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[]
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@ -26,7 +26,7 @@ paths:
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schema:
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$ref: '#/components/schemas/uptime'
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/v1.4/session/start:
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/api/v1.4/session/start:
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put:
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parameters:
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- in: header
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@ -78,7 +78,7 @@ paths:
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schema:
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$ref: '#/components/schemas/unauthorized'
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/v1.4/session/keep-alive:
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/api/v1.4/session/keep-alive:
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put:
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security:
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- session-id: []
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@ -111,7 +111,7 @@ paths:
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schema:
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$ref: '#/components/schemas/unauthorized'
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/v1.4/session/end:
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/api/v1.4/session/end:
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put:
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security:
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- session-id: []
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@ -144,7 +144,7 @@ paths:
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schema:
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$ref: '#/components/schemas/unauthorized'
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/v1.4/persistence/retrofit-results:
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/api/v1.4/persistence/retrofit-results:
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post:
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security:
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- session-id: [ ]
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@ -192,7 +192,7 @@ paths:
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schema:
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$ref: '#/components/schemas/unauthorized'
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/v1.4/workflow/costs:
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/api/v1.4/workflow/costs:
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post:
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security:
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- session-id: [ ]
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@ -213,7 +213,7 @@ paths:
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schema:
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$ref: '#/components/schemas/not-implemented-error'
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/v1.4/workflow/energy-plus:
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/api/v1.4/workflow/energy-plus:
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post:
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security:
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- session-id: [ ]
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@ -234,7 +234,7 @@ paths:
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schema:
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$ref: '#/components/schemas/not-implemented-error'
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/v1.4/workflow/insel-monthly-energy-balance:
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/api/v1.4/workflow/insel-monthly-energy-balance:
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post:
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security:
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- session-id: [ ]
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@ -23,13 +23,14 @@ def expired_sessions_collector(session_timeout_duration):
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"""
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while True:
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if bool(sessions):
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for _session in list(sessions):
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print(_session)
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_expire = datetime.datetime.strptime(_session['expire'], '%Y-%m-%d %H:%M:%S.%f')
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for session_uuid in sessions:
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print(sessions)
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print(sessions[session_uuid]['expire'])
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_expire = datetime.datetime.strptime(sessions[session_uuid]['expire'], '%Y-%m-%d %H:%M:%S.%f')
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if _expire < datetime.datetime.now():
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print("session for user: ", _session['username'], "expired.")
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print("session for user: ", sessions[session_uuid]['user'], "expired.")
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del sessions[session]
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del sessions[session_uuid]
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time.sleep(60 * int(session_timeout_duration))
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@ -5,14 +5,19 @@ Copyright © 2023 Concordia CERC group
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Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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from properties import *
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import hub.helpers.constants as cte
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from hub.helpers.dictionaries import Dictionaries
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from hub_api.mockup.properties import *
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import pandas as pd
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class Building:
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"""
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Building class
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"""
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def __init__(self, building_info, catalog_archetype):
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def __init__(self, building_info, results, catalog_archetype):
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self._function = building_info.function
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self._area = building_info.area
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self._volume = building_info.volume
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@ -21,14 +26,48 @@ class Building:
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self._windows_area = building_info.windows_area
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self._roof_area = building_info.roof_area
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self._total_pv_area = building_info.total_pv_area
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self._heating_consumption = building_info.heating_consumption
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self._cooling_consumption = building_info.cooling_consumption
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self._domestic_hot_water_consumption = building_info.domestic_hot_water_consumption
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self._lighting_electrical_demand = building_info.lighting_electrical_demand
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self._appliances_electrical_demand = building_info.appliances_electrical_demand
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self._heating_peak_load = building_info.heating_peak_load
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self._cooling_peak_load = building_info.cooling_peak_load
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self._onsite_electrical_production = building_info.onsite_electrical_production
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self._energy_systems_archetype_name = building_info.system_name
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self._heating_consumption = {
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cte.YEAR: results['yearly_heating_consumption'],
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cte.MONTH: results['monthly_heating_consumption']
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}
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print(self._heating_consumption)
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self._cooling_consumption = {
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cte.YEAR: results['yearly_cooling_consumption'],
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cte.MONTH: results['monthly_cooling_consumption']
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}
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self._domestic_hot_water_consumption = {
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cte.YEAR: results['yearly_domestic_hot_water_consumption'],
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cte.MONTH: results['monthly_domestic_hot_water_consumption']
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}
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self._lighting_electrical_demand = {
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cte.YEAR: pd.DataFrame(results['yearly_lighting_electrical_demand'], columns=['insel meb']),
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cte.MONTH: pd.DataFrame(results['monthly_lighting_electrical_demand'], columns=['insel meb'])
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}
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self._appliances_electrical_demand = {
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cte.YEAR: pd.DataFrame(results['yearly_appliances_electrical_demand'], columns=['insel meb']),
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cte.MONTH: pd.DataFrame(results['monthly_appliances_electrical_demand'], columns=['insel meb'])
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}
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self._heating_peak_load = {
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cte.YEAR: results['yearly_heating_peak_load'],
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cte.MONTH: results['monthly_heating_peak_load']
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}
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self._cooling_peak_load = {
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cte.YEAR: results['yearly_cooling_peak_load'],
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cte.MONTH: results['monthly_cooling_peak_load']
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}
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self._lighting_peak_load = {
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cte.YEAR: results['yearly_lighting_peak_load'],
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cte.MONTH: results['monthly_lighting_peak_load']
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}
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self._appliances_peak_load = {
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cte.YEAR: results['yearly_appliances_peak_load'],
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cte.MONTH: results['monthly_appliances_peak_load']
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}
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self._onsite_electrical_production = {
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cte.YEAR: results['yearly_on_site_electrical_production'],
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cte.MONTH: results['monthly_on_site_electrical_production']
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}
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self._catalog_archetype = catalog_archetype
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@property
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@ -137,6 +176,14 @@ class Building:
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"""
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return self._cooling_peak_load
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@property
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def lighting_peak_load(self):
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return self._lighting_peak_load
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@property
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def appliances_peak_load(self):
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return self._appliances_peak_load
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@property
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def onsite_electrical_production(self):
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"""
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@ -145,6 +192,10 @@ class Building:
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"""
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return self._onsite_electrical_production
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@property
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def energy_systems_archetype_name(self):
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return self._energy_systems_archetype_name
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@property
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def energy_systems(self) -> [EnergySystem]:
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"""
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@ -154,8 +205,12 @@ class Building:
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_energy_systems = []
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for system in self._catalog_archetype.systems:
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demands = system.demand_types
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fuel_type = system.generation_system.fuel_type
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_hub_demand_types = []
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for demand_type in system.demand_types:
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# todo: generalize this when we have more catalogs
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_hub_demand_types.append(Dictionaries().montreal_demand_type_to_hub_energy_demand_type[demand_type])
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demands = _hub_demand_types
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fuel_type = Dictionaries().montreal_custom_fuel_to_hub_fuel[system.generation_system.fuel_type]
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generic_generation_system = GenericGenerationSystem()
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generic_generation_system.fuel_type = fuel_type
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generation_system = GenerationSystem()
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@ -3,6 +3,8 @@ import json
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from flask import Response, request
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from flask_restful import Resource
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from costs.cost import Cost
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from co2_emission.co2_emission import Co2Emission
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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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@ -16,6 +18,7 @@ class RetrofitResults(Resource, Config):
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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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token = request.headers.get('token', None)
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application_uuid = request.headers.get('application-uuid', None)
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@ -29,32 +32,70 @@ class RetrofitResults(Resource, Config):
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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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# retrieve the buildings info
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buildings = []
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buildings_info = []
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scenario_name = None
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for scenario in payload['scenarios']:
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scenario_name = next(iter(scenario))
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for name in scenario[scenario_name]:
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if name not in buildings:
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buildings.append(name)
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for building in buildings:
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building_info = self.database.building(building, user_id, application_id, scenario_name)
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archetype = self.energy_systems_catalog.get_entry(building_info.system_name)
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buildings_info.append(building_info)
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buildings.append(Building(building_info, archetype))
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results = self.database.results(user_id, application_id, payload)
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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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scenario = next(iter(results))
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for scenario in results:
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for building_results in results[scenario]:
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values = []
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building_info = self.database.building(building_results['building'], user_id, application_id, scenario)
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results_dictionary = {}
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archetype = self.energy_systems_catalog.get_entry(building_info.system_name)
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for value in building_results['insel meb']:
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key = next(iter(value))
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values.append({key: json.loads(str(value[key]))})
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results_dictionary[key] = json.loads(str(value[key]))
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building_results['insel meb'] = values
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mockup_building = Building(building_info, results_dictionary, archetype)
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life_cycle = Cost(mockup_building, retrofit_scenario=scenario).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}']['global_capital_costs']
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global_operational_costs = life_cycle[f'Scenario {scenario}']['global_operational_costs']
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global_capital_incomes = life_cycle[f'Scenario {scenario}']['global_capital_incomes']
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global_maintenance_costs = life_cycle[f'Scenario {scenario}']['global_maintenance_costs']
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building_results['costs'] = {
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'total_capital_costs_skin': life_cycle[f'Scenario {scenario}']['total_capital_costs_skin'],
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'total_capital_costs_systems': life_cycle[f'Scenario {scenario}']['total_capital_costs_systems'],
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'end_of_life_costs': life_cycle[f'Scenario {scenario}']['end_of_life_costs'],
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'total_operational_costs': life_cycle[f'Scenario {scenario}']['total_operational_costs'],
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'total_maintenance_costs': life_cycle[f'Scenario {scenario}']['total_maintenance_costs'],
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'operational_incomes': life_cycle[f'Scenario {scenario}']['operational_incomes'],
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'capital_incomes': life_cycle[f'Scenario {scenario}']['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}']['global_end_of_life_costs']['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}']['global_operational_incomes']['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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return Response(json.dumps({'result': 'succeed', 'results': results}), status=200, headers=token)
|
||||
|
||||
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