import falcon import simplejson as json import mysql.connector import config from datetime import datetime, timedelta, timezone from core import utilities from decimal import Decimal class Reporting: @staticmethod def __init__(): """Initializes Class""" pass @staticmethod def on_options(req, resp): resp.status = falcon.HTTP_200 #################################################################################################################### # PROCEDURES # Step 1: valid parameters # Step 2: query the space # Step 3: query energy categories # Step 4: query child spaces # Step 5: query base period energy input # Step 6: query base period energy cost # Step 7: query reporting period energy input # Step 8: query reporting period energy cost # Step 9: query child spaces energy input # Step 10: query child spaces energy cost # Step 11: construct the report #################################################################################################################### @staticmethod def on_get(req, resp): user_uuid = req.params.get('useruuid') period_type = req.params.get('periodtype') base_start_datetime_local = req.params.get('baseperiodstartdatetime') base_end_datetime_local = req.params.get('baseperiodenddatetime') reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') ################################################################################################################ # Step 1: valid parameters ################################################################################################################ if user_uuid is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') else: user_uuid = str.strip(user_uuid) if len(user_uuid) != 36: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID') if period_type is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') else: period_type = str.strip(period_type) if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) if config.utc_offset[0] == '-': timezone_offset = -timezone_offset base_start_datetime_utc = None if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: base_start_datetime_local = str.strip(base_start_datetime_local) try: base_start_datetime_utc = datetime.strptime(base_start_datetime_local, '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ timedelta(minutes=timezone_offset) except ValueError: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_BASE_PERIOD_START_DATETIME") base_end_datetime_utc = None if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: base_end_datetime_local = str.strip(base_end_datetime_local) try: base_end_datetime_utc = datetime.strptime(base_end_datetime_local, '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ timedelta(minutes=timezone_offset) except ValueError: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_BASE_PERIOD_END_DATETIME") if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ base_start_datetime_utc >= base_end_datetime_utc: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_BASE_PERIOD_END_DATETIME') if reporting_start_datetime_local is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_START_DATETIME") else: reporting_start_datetime_local = str.strip(reporting_start_datetime_local) try: reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ timedelta(minutes=timezone_offset) except ValueError: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_START_DATETIME") if reporting_end_datetime_local is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_END_DATETIME") else: reporting_end_datetime_local = str.strip(reporting_end_datetime_local) try: reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ timedelta(minutes=timezone_offset) except ValueError: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description="API.INVALID_REPORTING_PERIOD_END_DATETIME") if reporting_start_datetime_utc >= reporting_end_datetime_utc: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_REPORTING_PERIOD_END_DATETIME') ################################################################################################################ # Step 2: query the space ################################################################################################################ cnx_user = mysql.connector.connect(**config.myems_user_db) cursor_user = cnx_user.cursor() cursor_user.execute(" SELECT id, is_admin, privilege_id " " FROM tbl_users " " WHERE uuid = %s ", (user_uuid,)) row_user = cursor_user.fetchone() if row_user is None: if cursor_user: cursor_user.close() if cnx_user: cnx_user.disconnect() raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_NOT_FOUND') user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]} if user['is_admin']: # todo: make sure the space id is always 1 for admin space_id = 1 else: cursor_user.execute(" SELECT data " " FROM tbl_privileges " " WHERE id = %s ", (user['privilege_id'],)) row_privilege = cursor_user.fetchone() if row_privilege is None: if cursor_user: cursor_user.close() if cnx_user: cnx_user.disconnect() raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_PRIVILEGE_NOT_FOUND') privilege_data = json.loads(row_privilege[0]) if 'spaces' not in privilege_data.keys() \ or privilege_data['spaces'] is None \ or len(privilege_data['spaces']) == 0: if cursor_user: cursor_user.close() if cnx_user: cnx_user.disconnect() raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_PRIVILEGE_NOT_FOUND') # todo: how to deal with multiple spaces in privilege data space_id = privilege_data['spaces'][0] if cursor_user: cursor_user.close() if cnx_user: cnx_user.disconnect() cnx_system = mysql.connector.connect(**config.myems_system_db) cursor_system = cnx_system.cursor() cursor_system.execute(" SELECT id, name, area, cost_center_id " " FROM tbl_spaces " " WHERE id = %s ", (space_id,)) row_space = cursor_system.fetchone() if row_space is None: if cursor_system: cursor_system.close() if cnx_system: cnx_system.disconnect() raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') space = dict() space['id'] = row_space[0] space['name'] = row_space[1] space['area'] = row_space[2] space['cost_center_id'] = row_space[3] ################################################################################################################ # Step 3: query energy categories ################################################################################################################ cnx_energy = mysql.connector.connect(**config.myems_energy_db) cursor_energy = cnx_energy.cursor() cnx_billing = mysql.connector.connect(**config.myems_billing_db) cursor_billing = cnx_billing.cursor() energy_category_set = set() # query energy categories in base period cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s ", (space['id'], base_start_datetime_utc, base_end_datetime_utc)) rows_energy_categories = cursor_energy.fetchall() if rows_energy_categories is not None or len(rows_energy_categories) > 0: for row_energy_category in rows_energy_categories: energy_category_set.add(row_energy_category[0]) # query energy categories in reporting period cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s ", (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_energy_categories = cursor_energy.fetchall() if rows_energy_categories is not None or len(rows_energy_categories) > 0: for row_energy_category in rows_energy_categories: energy_category_set.add(row_energy_category[0]) # query all energy categories in base period and reporting period cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " " FROM tbl_energy_categories " " ORDER BY id ", ) rows_energy_categories = cursor_system.fetchall() if rows_energy_categories is None or len(rows_energy_categories) == 0: if cursor_system: cursor_system.close() if cnx_system: cnx_system.disconnect() if cursor_energy: cursor_energy.close() if cnx_energy: cnx_energy.disconnect() if cursor_billing: cursor_billing.close() if cnx_billing: cnx_billing.disconnect() raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.ENERGY_CATEGORY_NOT_FOUND') energy_category_dict = dict() for row_energy_category in rows_energy_categories: if row_energy_category[0] in energy_category_set: energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], "unit_of_measure": row_energy_category[2], "kgce": row_energy_category[3], "kgco2e": row_energy_category[4]} ################################################################################################################ # Step 4: query child spaces ################################################################################################################ child_space_list = list() cursor_system.execute(" SELECT id, name " " FROM tbl_spaces " " WHERE parent_space_id = %s " " ORDER BY id ", (space['id'], )) rows_child_spaces = cursor_system.fetchall() if rows_child_spaces is not None and len(rows_child_spaces) > 0: for row in rows_child_spaces: child_space_list.append({"id": row[0], "name": row[1]}) ################################################################################################################ # Step 5: query base period energy input ################################################################################################################ base_input = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: kgce = energy_category_dict[energy_category_id]['kgce'] kgco2e = energy_category_dict[energy_category_id]['kgco2e'] base_input[energy_category_id] = dict() base_input[energy_category_id]['timestamps'] = list() base_input[energy_category_id]['values'] = list() base_input[energy_category_id]['subtotal'] = Decimal(0.0) base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) cursor_energy.execute(" SELECT start_datetime_utc, actual_value " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (space['id'], energy_category_id, base_start_datetime_utc, base_end_datetime_utc)) rows_space_hourly = cursor_energy.fetchall() rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, base_start_datetime_utc, base_end_datetime_utc, period_type) for row_space_periodically in rows_space_periodically: current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) if period_type == 'hourly': current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') elif period_type == 'daily': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'weekly': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'monthly': current_datetime = current_datetime_local.strftime('%Y-%m') elif period_type == 'yearly': current_datetime = current_datetime_local.strftime('%Y') actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] base_input[energy_category_id]['timestamps'].append(current_datetime) base_input[energy_category_id]['values'].append(actual_value) base_input[energy_category_id]['subtotal'] += actual_value base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e ################################################################################################################ # Step 6: query base period energy cost ################################################################################################################ base_cost = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: base_cost[energy_category_id] = dict() base_cost[energy_category_id]['timestamps'] = list() base_cost[energy_category_id]['values'] = list() base_cost[energy_category_id]['subtotal'] = Decimal(0.0) cursor_billing.execute(" SELECT start_datetime_utc, actual_value " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (space['id'], energy_category_id, base_start_datetime_utc, base_end_datetime_utc)) rows_space_hourly = cursor_billing.fetchall() rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, base_start_datetime_utc, base_end_datetime_utc, period_type) for row_space_periodically in rows_space_periodically: current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) if period_type == 'hourly': current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') elif period_type == 'daily': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'weekly': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'monthly': current_datetime = current_datetime_local.strftime('%Y-%m') elif period_type == 'yearly': current_datetime = current_datetime_local.strftime('%Y') actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] base_cost[energy_category_id]['timestamps'].append(current_datetime) base_cost[energy_category_id]['values'].append(actual_value) base_cost[energy_category_id]['subtotal'] += actual_value ################################################################################################################ # Step 7: query reporting period energy input ################################################################################################################ reporting_input = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: kgce = energy_category_dict[energy_category_id]['kgce'] kgco2e = energy_category_dict[energy_category_id]['kgco2e'] reporting_input[energy_category_id] = dict() reporting_input[energy_category_id]['timestamps'] = list() reporting_input[energy_category_id]['values'] = list() reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) cursor_energy.execute(" SELECT start_datetime_utc, actual_value " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (space['id'], energy_category_id, reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_space_hourly = cursor_energy.fetchall() rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, reporting_start_datetime_utc, reporting_end_datetime_utc, period_type) for row_space_periodically in rows_space_periodically: current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) if period_type == 'hourly': current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') elif period_type == 'daily': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'weekly': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'monthly': current_datetime = current_datetime_local.strftime('%Y-%m') elif period_type == 'yearly': current_datetime = current_datetime_local.strftime('%Y') actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] reporting_input[energy_category_id]['timestamps'].append(current_datetime) reporting_input[energy_category_id]['values'].append(actual_value) reporting_input[energy_category_id]['subtotal'] += actual_value reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], energy_category_id, reporting_start_datetime_utc, reporting_end_datetime_utc) for row in rows_space_hourly: peak_type = energy_category_tariff_dict.get(row[0], None) if peak_type == 'toppeak': reporting_input[energy_category_id]['toppeak'] += row[1] elif peak_type == 'onpeak': reporting_input[energy_category_id]['onpeak'] += row[1] elif peak_type == 'midpeak': reporting_input[energy_category_id]['midpeak'] += row[1] elif peak_type == 'offpeak': reporting_input[energy_category_id]['offpeak'] += row[1] ################################################################################################################ # Step 8: query reporting period energy cost ################################################################################################################ reporting_cost = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: reporting_cost[energy_category_id] = dict() reporting_cost[energy_category_id]['timestamps'] = list() reporting_cost[energy_category_id]['values'] = list() reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0) reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0) reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0) reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0) reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0) cursor_billing.execute(" SELECT start_datetime_utc, actual_value " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (space['id'], energy_category_id, reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_space_hourly = cursor_billing.fetchall() rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, reporting_start_datetime_utc, reporting_end_datetime_utc, period_type) for row_space_periodically in rows_space_periodically: current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) if period_type == 'hourly': current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') elif period_type == 'daily': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'weekly': current_datetime = current_datetime_local.strftime('%Y-%m-%d') elif period_type == 'monthly': current_datetime = current_datetime_local.strftime('%Y-%m') elif period_type == 'yearly': current_datetime = current_datetime_local.strftime('%Y') actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] reporting_cost[energy_category_id]['timestamps'].append(current_datetime) reporting_cost[energy_category_id]['values'].append(actual_value) reporting_cost[energy_category_id]['subtotal'] += actual_value energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], energy_category_id, reporting_start_datetime_utc, reporting_end_datetime_utc) for row in rows_space_hourly: peak_type = energy_category_tariff_dict.get(row[0], None) if peak_type == 'toppeak': reporting_cost[energy_category_id]['toppeak'] += row[1] elif peak_type == 'onpeak': reporting_cost[energy_category_id]['onpeak'] += row[1] elif peak_type == 'midpeak': reporting_cost[energy_category_id]['midpeak'] += row[1] elif peak_type == 'offpeak': reporting_cost[energy_category_id]['offpeak'] += row[1] ################################################################################################################ # Step 9: query child spaces energy input ################################################################################################################ child_space_input = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: child_space_input[energy_category_id] = dict() child_space_input[energy_category_id]['child_space_names'] = list() child_space_input[energy_category_id]['subtotals'] = list() child_space_input[energy_category_id]['subtotals_in_kgce'] = list() child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list() kgce = energy_category_dict[energy_category_id]['kgce'] kgco2e = energy_category_dict[energy_category_id]['kgco2e'] for child_space in child_space_list: child_space_input[energy_category_id]['child_space_names'].append(child_space['name']) cursor_energy.execute(" SELECT SUM(actual_value) " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (child_space['id'], energy_category_id, reporting_start_datetime_utc, reporting_end_datetime_utc)) row_subtotal = cursor_energy.fetchone() subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] child_space_input[energy_category_id]['subtotals'].append(subtotal) child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce) child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e) ################################################################################################################ # Step 10: query child spaces energy cost ################################################################################################################ child_space_cost = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: child_space_cost[energy_category_id] = dict() child_space_cost[energy_category_id]['child_space_names'] = list() child_space_cost[energy_category_id]['subtotals'] = list() for child_space in child_space_list: child_space_cost[energy_category_id]['child_space_names'].append(child_space['name']) cursor_billing.execute(" SELECT SUM(actual_value) " " FROM tbl_space_input_category_hourly " " WHERE space_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (child_space['id'], energy_category_id, reporting_start_datetime_utc, reporting_end_datetime_utc)) row_subtotal = cursor_billing.fetchone() subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] child_space_cost[energy_category_id]['subtotals'].append(subtotal) ################################################################################################################ # Step 11: construct the report ################################################################################################################ if cursor_system: cursor_system.close() if cnx_system: cnx_system.disconnect() if cursor_energy: cursor_energy.close() if cnx_energy: cnx_energy.disconnect() if cursor_billing: cursor_billing.close() if cnx_billing: cnx_billing.disconnect() result = dict() result['space'] = dict() result['space']['name'] = space['name'] result['space']['area'] = space['area'] result['base_period_input'] = dict() result['base_period_input']['names'] = list() result['base_period_input']['units'] = list() result['base_period_input']['timestamps'] = list() result['base_period_input']['values'] = list() result['base_period_input']['subtotals'] = list() result['base_period_input']['subtotals_in_kgce'] = list() result['base_period_input']['subtotals_in_kgco2e'] = list() result['base_period_input']['subtotals_per_unit_area'] = list() result['base_period_input']['total_in_kgce'] = Decimal(0.0) result['base_period_input']['total_in_kgco2e'] = Decimal(0.0) if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['base_period_input']['names'].append( energy_category_dict[energy_category_id]['name']) result['base_period_input']['units'].append( energy_category_dict[energy_category_id]['unit_of_measure']) result['base_period_input']['timestamps'].append( base_input[energy_category_id]['timestamps']) result['base_period_input']['values'].append( base_input[energy_category_id]['values']) result['base_period_input']['subtotals'].append( base_input[energy_category_id]['subtotal']) result['base_period_input']['subtotals_in_kgce'].append( base_input[energy_category_id]['subtotal_in_kgce']) result['base_period_input']['subtotals_in_kgco2e'].append( base_input[energy_category_id]['subtotal_in_kgco2e']) result['base_period_input']['subtotals_per_unit_area'].append( base_input[energy_category_id]['subtotal'] / space['area'] if space['area'] > 0.0 else None) result['base_period_input']['total_in_kgce'] += \ base_input[energy_category_id]['subtotal_in_kgce'] result['base_period_input']['total_in_kgco2e'] += \ base_input[energy_category_id]['subtotal_in_kgco2e'] result['base_period_cost'] = dict() result['base_period_cost']['names'] = list() result['base_period_cost']['units'] = list() result['base_period_cost']['timestamps'] = list() result['base_period_cost']['values'] = list() result['base_period_cost']['subtotals'] = list() result['base_period_cost']['subtotals_per_unit_area'] = list() result['base_period_cost']['total'] = Decimal(0.0) if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['base_period_cost']['names'].append( energy_category_dict[energy_category_id]['name']) result['base_period_cost']['units'].append(config.currency_unit) result['base_period_cost']['timestamps'].append( base_cost[energy_category_id]['timestamps']) result['base_period_cost']['values'].append( base_cost[energy_category_id]['values']) result['base_period_cost']['subtotals'].append( base_cost[energy_category_id]['subtotal']) result['base_period_cost']['subtotals_per_unit_area'].append( base_cost[energy_category_id]['subtotal'] / space['area'] if space['area'] > 0.0 else None) result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal'] result['reporting_period_input'] = dict() result['reporting_period_input']['names'] = list() result['reporting_period_input']['energy_category_ids'] = list() result['reporting_period_input']['units'] = list() result['reporting_period_input']['timestamps'] = list() result['reporting_period_input']['values'] = list() result['reporting_period_input']['subtotals'] = list() result['reporting_period_input']['subtotals_in_kgce'] = list() result['reporting_period_input']['subtotals_in_kgco2e'] = list() result['reporting_period_input']['subtotals_per_unit_area'] = list() result['reporting_period_input']['toppeaks'] = list() result['reporting_period_input']['onpeaks'] = list() result['reporting_period_input']['midpeaks'] = list() result['reporting_period_input']['offpeaks'] = list() result['reporting_period_input']['increment_rates'] = list() result['reporting_period_input']['total_in_kgce'] = Decimal(0.0) result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0) result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0) result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0) if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name']) result['reporting_period_input']['energy_category_ids'].append(energy_category_id) result['reporting_period_input']['units'].append( energy_category_dict[energy_category_id]['unit_of_measure']) result['reporting_period_input']['timestamps'].append( reporting_input[energy_category_id]['timestamps']) result['reporting_period_input']['values'].append( reporting_input[energy_category_id]['values']) result['reporting_period_input']['subtotals'].append( reporting_input[energy_category_id]['subtotal']) result['reporting_period_input']['subtotals_in_kgce'].append( reporting_input[energy_category_id]['subtotal_in_kgce']) result['reporting_period_input']['subtotals_in_kgco2e'].append( reporting_input[energy_category_id]['subtotal_in_kgco2e']) result['reporting_period_input']['subtotals_per_unit_area'].append( reporting_input[energy_category_id]['subtotal'] / space['area'] if space['area'] > 0.0 else None) result['reporting_period_input']['toppeaks'].append( reporting_input[energy_category_id]['toppeak']) result['reporting_period_input']['onpeaks'].append( reporting_input[energy_category_id]['onpeak']) result['reporting_period_input']['midpeaks'].append( reporting_input[energy_category_id]['midpeak']) result['reporting_period_input']['offpeaks'].append( reporting_input[energy_category_id]['offpeak']) result['reporting_period_input']['increment_rates'].append( (reporting_input[energy_category_id]['subtotal'] - base_input[energy_category_id]['subtotal']) / base_input[energy_category_id]['subtotal'] if base_input[energy_category_id]['subtotal'] > 0.0 else None) result['reporting_period_input']['total_in_kgce'] += \ reporting_input[energy_category_id]['subtotal_in_kgce'] result['reporting_period_input']['total_in_kgco2e'] += \ reporting_input[energy_category_id]['subtotal_in_kgco2e'] result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \ result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None result['reporting_period_input']['increment_rate_in_kgce'] = \ (result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \ result['base_period_input']['total_in_kgce'] \ if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None result['reporting_period_input']['total_in_kgce_per_unit_area'] = \ result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None result['reporting_period_input']['increment_rate_in_kgco2e'] = \ (result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \ result['base_period_input']['total_in_kgco2e'] \ if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None result['reporting_period_cost'] = dict() result['reporting_period_cost']['names'] = list() result['reporting_period_cost']['energy_category_ids'] = list() result['reporting_period_cost']['units'] = list() result['reporting_period_cost']['timestamps'] = list() result['reporting_period_cost']['values'] = list() result['reporting_period_cost']['subtotals'] = list() result['reporting_period_cost']['subtotals_per_unit_area'] = list() result['reporting_period_cost']['toppeaks'] = list() result['reporting_period_cost']['onpeaks'] = list() result['reporting_period_cost']['midpeaks'] = list() result['reporting_period_cost']['offpeaks'] = list() result['reporting_period_cost']['increment_rates'] = list() result['reporting_period_cost']['total'] = Decimal(0.0) result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0) result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0) result['reporting_period_cost']['total_unit'] = config.currency_unit if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name']) result['reporting_period_cost']['energy_category_ids'].append(energy_category_id) result['reporting_period_cost']['units'].append(config.currency_unit) result['reporting_period_cost']['timestamps'].append( reporting_cost[energy_category_id]['timestamps']) result['reporting_period_cost']['values'].append( reporting_cost[energy_category_id]['values']) result['reporting_period_cost']['subtotals'].append( reporting_cost[energy_category_id]['subtotal']) result['reporting_period_cost']['subtotals_per_unit_area'].append( reporting_cost[energy_category_id]['subtotal'] / space['area'] if space['area'] > 0.0 else None) result['reporting_period_cost']['toppeaks'].append( reporting_cost[energy_category_id]['toppeak']) result['reporting_period_cost']['onpeaks'].append( reporting_cost[energy_category_id]['onpeak']) result['reporting_period_cost']['midpeaks'].append( reporting_cost[energy_category_id]['midpeak']) result['reporting_period_cost']['offpeaks'].append( reporting_cost[energy_category_id]['offpeak']) result['reporting_period_cost']['increment_rates'].append( (reporting_cost[energy_category_id]['subtotal'] - base_cost[energy_category_id]['subtotal']) / base_cost[energy_category_id]['subtotal'] if base_cost[energy_category_id]['subtotal'] > 0.0 else None) result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal'] result['reporting_period_cost']['total_per_unit_area'] = \ result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None result['reporting_period_cost']['total_increment_rate'] = \ (result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \ result['reporting_period_cost']['total'] \ if result['reporting_period_cost']['total'] > Decimal(0.0) else None result['child_space_input'] = dict() result['child_space_input']['energy_category_names'] = list() # 1D array [energy category] result['child_space_input']['units'] = list() # 1D array [energy category] result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space] result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space] result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space] result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space] if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['child_space_input']['energy_category_names'].append( energy_category_dict[energy_category_id]['name']) result['child_space_input']['units'].append( energy_category_dict[energy_category_id]['unit_of_measure']) result['child_space_input']['child_space_names_array'].append( child_space_input[energy_category_id]['child_space_names']) result['child_space_input']['subtotals_array'].append( child_space_input[energy_category_id]['subtotals']) result['child_space_input']['subtotals_in_kgce_array'].append( child_space_input[energy_category_id]['subtotals_in_kgce']) result['child_space_input']['subtotals_in_kgco2e_array'].append( child_space_input[energy_category_id]['subtotals_in_kgco2e']) result['child_space_cost'] = dict() result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category] result['child_space_cost']['units'] = list() # 1D array [energy category] result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space] result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space] if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['child_space_cost']['energy_category_names'].append( energy_category_dict[energy_category_id]['name']) result['child_space_cost']['units'].append(config.currency_unit) result['child_space_cost']['child_space_names_array'].append( child_space_cost[energy_category_id]['child_space_names']) result['child_space_cost']['subtotals_array'].append( child_space_cost[energy_category_id]['subtotals']) resp.text = json.dumps(result)