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 import excelexporters.combinedequipmentefficiency class Reporting: @staticmethod def __init__(): """"Initializes Reporting""" pass @staticmethod def on_options(req, resp): resp.status = falcon.HTTP_200 #################################################################################################################### # PROCEDURES # Step 1: valid parameters # Step 2: query the combined equipment # Step 3: query energy categories # Step 4: query associated points # Step 5: query associated equipments # Step 6: query associated fractions # Step 7: query fractions' numerator and denominator # Step 8: calculate base period fractions # Step 9: calculate reporting period fractions # Step 10: query associated points data # Step 11: query associated equipments energy input # Step 12: construct the report #################################################################################################################### @staticmethod def on_get(req, resp): print(req.params) combined_equipment_id = req.params.get('combinedequipmentid') 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') quick_mode = req.params.get('quickmode') ################################################################################################################ # Step 1: valid parameters ################################################################################################################ if combined_equipment_id is None: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_COMBINED_EQUIPMENT_ID') else: combined_equipment_id = str.strip(combined_equipment_id) if not combined_equipment_id.isdigit() or int(combined_equipment_id) <= 0: raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_COMBINED_EQUIPMENT_ID') 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') # if turn quick mode on, do not return parameters data and excel file is_quick_mode = False if quick_mode is not None and \ len(str.strip(quick_mode)) > 0 and \ str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): is_quick_mode = True ################################################################################################################ # Step 2: query the combined equipment ################################################################################################################ cnx_system = mysql.connector.connect(**config.myems_system_db) cursor_system = cnx_system.cursor() cnx_energy = mysql.connector.connect(**config.myems_energy_db) cursor_energy = cnx_energy.cursor() cnx_historical = mysql.connector.connect(**config.myems_historical_db) cursor_historical = cnx_historical.cursor() cursor_system.execute(" SELECT id, name, cost_center_id " " FROM tbl_combined_equipments " " WHERE id = %s ", (combined_equipment_id,)) row_combined_equipment = cursor_system.fetchone() if row_combined_equipment is None: 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_historical: cursor_historical.close() if cnx_historical: cnx_historical.disconnect() raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.COMBINED_EQUIPMENT_NOT_FOUND') combined_equipment = dict() combined_equipment['id'] = row_combined_equipment[0] combined_equipment['name'] = row_combined_equipment[1] combined_equipment['cost_center_id'] = row_combined_equipment[2] ################################################################################################################ # Step 3: query energy categories ################################################################################################################ energy_category_set = set() # query energy categories in base period cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " " FROM tbl_combined_equipment_input_category_hourly " " WHERE combined_equipment_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s ", (combined_equipment['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_combined_equipment_input_category_hourly " " WHERE combined_equipment_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s ", (combined_equipment['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_historical: cursor_historical.close() if cnx_historical: cnx_historical.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 associated points ################################################################################################################ point_list = list() cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type " " FROM tbl_combined_equipments e, tbl_combined_equipments_parameters ep, tbl_points p " " WHERE e.id = %s AND e.id = ep.combined_equipment_id AND ep.parameter_type = 'point' " " AND ep.point_id = p.id " " ORDER BY p.id ", (combined_equipment['id'],)) rows_points = cursor_system.fetchall() if rows_points is not None and len(rows_points) > 0: for row in rows_points: point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) print(point_list) ################################################################################################################ # Step 5: query associated equipments ################################################################################################################ associated_equipment_list = list() cursor_system.execute(" SELECT e.id, e.name " " FROM tbl_equipments e,tbl_combined_equipments_equipments ee" " WHERE ee.combined_equipment_id = %s AND e.id = ee.equipment_id" " ORDER BY id ", (combined_equipment['id'],)) rows_associated_equipments = cursor_system.fetchall() if rows_associated_equipments is not None and len(rows_associated_equipments) > 0: for row in rows_associated_equipments: associated_equipment_list.append({"id": row[0], "name": row[1]}) ################################################################################################################ # Step 6: query associated fractions ################################################################################################################ fraction_list = list() cursor_system.execute(" SELECT id, name, numerator_meter_uuid, denominator_meter_uuid " " FROM tbl_combined_equipments_parameters " " WHERE combined_equipment_id = %s AND parameter_type = 'fraction' ", (combined_equipment['id'],)) rows_fractions = cursor_system.fetchall() if rows_fractions is not None and len(rows_fractions) > 0: for row in rows_fractions: fraction_list.append({"id": row[0], "name": row[1], "numerator_meter_uuid": row[2], "denominator_meter_uuid": row[3], }) print(fraction_list) ################################################################################################################ # Step 7: query fractions' numerator and denominator ################################################################################################################ # get all meters meter_dict = dict() query = (" SELECT m.id, m.uuid, ec.unit_of_measure " " FROM tbl_meters m, tbl_energy_categories ec " " WHERE m.energy_category_id = ec.id ") cursor_system.execute(query) rows_meters = cursor_system.fetchall() if rows_meters is not None and len(rows_meters) > 0: for row in rows_meters: meter_dict[row[1]] = {'id': row[0], 'unit': row[2]} # get all offline meters offline_meter_dict = dict() query = (" SELECT m.id, m.uuid, ec.unit_of_measure " " FROM tbl_offline_meters m, tbl_energy_categories ec " " WHERE m.energy_category_id = ec.id ") cursor_system.execute(query) rows_offline_meters = cursor_system.fetchall() if rows_offline_meters is not None and len(rows_offline_meters) > 0: for row in rows_offline_meters: offline_meter_dict[row[1]] = {'id': row[0], 'unit': row[2]} # get all virtual meters virtual_meter_dict = dict() query = (" SELECT m.id, m.uuid, ec.unit_of_measure " " FROM tbl_virtual_meters m, tbl_energy_categories ec " " WHERE m.energy_category_id = ec.id ") cursor_system.execute(query) rows_virtual_meters = cursor_system.fetchall() if rows_virtual_meters is not None and len(rows_virtual_meters) > 0: for row in rows_virtual_meters: virtual_meter_dict[row[1]] = {'id': row[0], 'unit': row[2]} if fraction_list is not None and len(fraction_list) > 0: for fraction in fraction_list: if fraction['numerator_meter_uuid'] in offline_meter_dict: fraction['numerator_meter_id'] = offline_meter_dict[fraction['numerator_meter_uuid']]['id'] fraction['numerator_meter_unit'] = offline_meter_dict[fraction['numerator_meter_uuid']]['unit'] fraction['numerator_meter_type'] = 'offline_meter' elif fraction['numerator_meter_uuid'] in virtual_meter_dict: fraction['numerator_meter_id'] = virtual_meter_dict[fraction['numerator_meter_uuid']]['id'] fraction['numerator_meter_unit'] = virtual_meter_dict[fraction['numerator_meter_uuid']]['unit'] fraction['numerator_meter_type'] = 'virtual_meter' elif fraction['numerator_meter_uuid'] in meter_dict: fraction['numerator_meter_id'] = meter_dict[fraction['numerator_meter_uuid']]['id'] fraction['numerator_meter_unit'] = meter_dict[fraction['numerator_meter_uuid']]['unit'] fraction['numerator_meter_type'] = 'meter' if fraction['denominator_meter_uuid'] in offline_meter_dict: fraction['denominator_meter_id'] = offline_meter_dict[fraction['denominator_meter_uuid']]['id'] fraction['denominator_meter_unit'] = offline_meter_dict[fraction['denominator_meter_uuid']]['unit'] fraction['denominator_meter_type'] = 'offline_meter' elif fraction['denominator_meter_uuid'] in virtual_meter_dict: fraction['denominator_meter_id'] = virtual_meter_dict[fraction['denominator_meter_uuid']]['id'] fraction['denominator_meter_unit'] = virtual_meter_dict[fraction['denominator_meter_uuid']]['unit'] fraction['denominator_meter_type'] = 'virtual_meter' elif fraction['denominator_meter_uuid'] in meter_dict: fraction['denominator_meter_id'] = meter_dict[fraction['denominator_meter_uuid']]['id'] fraction['denominator_meter_unit'] = meter_dict[fraction['denominator_meter_uuid']]['unit'] fraction['denominator_meter_type'] = 'meter' print(fraction_list) ################################################################################################################ # Step 8: calculate base period fractions ################################################################################################################ base = dict() if fraction_list is not None and len(fraction_list) > 0: for fraction in fraction_list: base[fraction['id']] = dict() base[fraction['id']]['name'] = fraction['name'] base[fraction['id']]['unit'] = fraction['numerator_meter_unit'] + '/' + \ fraction['denominator_meter_unit'] base[fraction['id']]['numerator_timestamps'] = list() base[fraction['id']]['numerator_values'] = list() base[fraction['id']]['numerator_cumulation'] = Decimal(0.0) base[fraction['id']]['denominator_timestamps'] = list() base[fraction['id']]['denominator_values'] = list() base[fraction['id']]['denominator_cumulation'] = Decimal(0.0) base[fraction['id']]['timestamps'] = list() base[fraction['id']]['values'] = list() base[fraction['id']]['cumulation'] = Decimal(0.0) # query numerator meter output if fraction['numerator_meter_type'] == 'meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_meter_hourly " " WHERE meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['numerator_meter_type'] == 'offline_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_offline_meter_hourly " " WHERE offline_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['numerator_meter_type'] == 'virtual_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_virtual_meter_hourly " " WHERE virtual_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") cursor_energy.execute(query, (fraction['numerator_meter_id'], base_start_datetime_utc, base_end_datetime_utc)) rows_numerator_meter_hourly = cursor_energy.fetchall() rows_numerator_meter_periodically = \ utilities.aggregate_hourly_data_by_period(rows_numerator_meter_hourly, base_start_datetime_utc, base_end_datetime_utc, period_type) # query denominator meter input if fraction['denominator_meter_type'] == 'meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_meter_hourly " " WHERE meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['denominator_meter_type'] == 'offline_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_offline_meter_hourly " " WHERE offline_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['denominator_meter_type'] == 'virtual_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_virtual_meter_hourly " " WHERE virtual_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") cursor_energy.execute(query, (fraction['denominator_meter_id'], base_start_datetime_utc, base_end_datetime_utc)) rows_denominator_meter_hourly = cursor_energy.fetchall() rows_denominator_meter_periodically = \ utilities.aggregate_hourly_data_by_period(rows_denominator_meter_hourly, base_start_datetime_utc, base_end_datetime_utc, period_type) for row_numerator_meter_periodically in rows_numerator_meter_periodically: current_datetime_local = row_numerator_meter_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_numerator_meter_periodically[1] is None \ else row_numerator_meter_periodically[1] base[fraction['id']]['numerator_timestamps'].append(current_datetime) base[fraction['id']]['numerator_values'].append(actual_value) base[fraction['id']]['numerator_cumulation'] += actual_value for row_denominator_meter_periodically in rows_denominator_meter_periodically: current_datetime_local = row_denominator_meter_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_denominator_meter_periodically[1] is None \ else row_denominator_meter_periodically[1] base[fraction['id']]['denominator_timestamps'].append(current_datetime) base[fraction['id']]['denominator_values'].append(actual_value) base[fraction['id']]['denominator_cumulation'] += actual_value for i in range(len(base[fraction['id']]['denominator_timestamps'])): timestamp = base[fraction['id']]['denominator_timestamps'][i] base[fraction['id']]['timestamps'].append(timestamp) value = (base[fraction['id']]['numerator_values'][i] / base[fraction['id']]['denominator_values'][i]) \ if base[fraction['id']]['denominator_values'][i] > Decimal(0.0) else Decimal(0.0) base[fraction['id']]['values'].append(value) cumulation = (base[fraction['id']]['numerator_cumulation'] / base[fraction['id']]['denominator_cumulation']) \ if base[fraction['id']]['denominator_cumulation'] > Decimal(0.0) else Decimal(0.0) base[fraction['id']]['cumulation'] = cumulation ################################################################################################################ # Step 9: calculate reporting period fractions ################################################################################################################ reporting = dict() if fraction_list is not None and len(fraction_list) > 0: for fraction in fraction_list: reporting[fraction['id']] = dict() reporting[fraction['id']]['name'] = fraction['name'] reporting[fraction['id']]['unit'] = fraction['numerator_meter_unit'] + '/' + \ fraction['denominator_meter_unit'] reporting[fraction['id']]['numerator_timestamps'] = list() reporting[fraction['id']]['numerator_values'] = list() reporting[fraction['id']]['numerator_cumulation'] = Decimal(0.0) reporting[fraction['id']]['denominator_timestamps'] = list() reporting[fraction['id']]['denominator_values'] = list() reporting[fraction['id']]['denominator_cumulation'] = Decimal(0.0) reporting[fraction['id']]['timestamps'] = list() reporting[fraction['id']]['values'] = list() reporting[fraction['id']]['cumulation'] = Decimal(0.0) # query numerator meter output if fraction['numerator_meter_type'] == 'meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_meter_hourly " " WHERE meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['numerator_meter_type'] == 'offline_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_offline_meter_hourly " " WHERE offline_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['numerator_meter_type'] == 'virtual_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_virtual_meter_hourly " " WHERE virtual_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") cursor_energy.execute(query, (fraction['numerator_meter_id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_numerator_meter_hourly = cursor_energy.fetchall() rows_numerator_meter_periodically = \ utilities.aggregate_hourly_data_by_period(rows_numerator_meter_hourly, reporting_start_datetime_utc, reporting_end_datetime_utc, period_type) # query denominator meter input if fraction['denominator_meter_type'] == 'meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_meter_hourly " " WHERE meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['denominator_meter_type'] == 'offline_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_offline_meter_hourly " " WHERE offline_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") elif fraction['denominator_meter_type'] == 'virtual_meter': query = (" SELECT start_datetime_utc, actual_value " " FROM tbl_virtual_meter_hourly " " WHERE virtual_meter_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ") cursor_energy.execute(query, (fraction['denominator_meter_id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) rows_denominator_meter_hourly = cursor_energy.fetchall() rows_denominator_meter_periodically = \ utilities.aggregate_hourly_data_by_period(rows_denominator_meter_hourly, reporting_start_datetime_utc, reporting_end_datetime_utc, period_type) for row_numerator_meter_periodically in rows_numerator_meter_periodically: current_datetime_local = row_numerator_meter_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_numerator_meter_periodically[1] is None \ else row_numerator_meter_periodically[1] reporting[fraction['id']]['numerator_timestamps'].append(current_datetime) reporting[fraction['id']]['numerator_values'].append(actual_value) reporting[fraction['id']]['numerator_cumulation'] += actual_value for row_denominator_meter_periodically in rows_denominator_meter_periodically: current_datetime_local = row_denominator_meter_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_denominator_meter_periodically[1] is None \ else row_denominator_meter_periodically[1] reporting[fraction['id']]['denominator_timestamps'].append(current_datetime) reporting[fraction['id']]['denominator_values'].append(actual_value) reporting[fraction['id']]['denominator_cumulation'] += actual_value for i in range(len(reporting[fraction['id']]['denominator_timestamps'])): timestamp = reporting[fraction['id']]['denominator_timestamps'][i] reporting[fraction['id']]['timestamps'].append(timestamp) value = reporting[fraction['id']]['numerator_values'][i] / \ reporting[fraction['id']]['denominator_values'][i] \ if reporting[fraction['id']]['denominator_values'][i] > Decimal(0.0) else Decimal(0.0) reporting[fraction['id']]['values'].append(value) cumulation = (reporting[fraction['id']]['numerator_cumulation'] / reporting[fraction['id']]['denominator_cumulation']) \ if reporting[fraction['id']]['denominator_cumulation'] > Decimal(0.0) else Decimal(0.0) reporting[fraction['id']]['cumulation'] = cumulation ################################################################################################################ # Step 10: query associated points data ################################################################################################################ parameters_data = dict() parameters_data['names'] = list() parameters_data['timestamps'] = list() parameters_data['values'] = list() if not is_quick_mode: for point in point_list: point_values = [] point_timestamps = [] if point['object_type'] == 'ANALOG_VALUE': query = (" SELECT utc_date_time, actual_value " " FROM tbl_analog_value " " WHERE point_id = %s " " AND utc_date_time BETWEEN %s AND %s " " ORDER BY utc_date_time ") cursor_historical.execute(query, (point['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) rows = cursor_historical.fetchall() if rows is not None and len(rows) > 0: for row in rows: current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') point_timestamps.append(current_datetime) point_values.append(row[1]) elif point['object_type'] == 'ENERGY_VALUE': query = (" SELECT utc_date_time, actual_value " " FROM tbl_energy_value " " WHERE point_id = %s " " AND utc_date_time BETWEEN %s AND %s " " ORDER BY utc_date_time ") cursor_historical.execute(query, (point['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) rows = cursor_historical.fetchall() if rows is not None and len(rows) > 0: for row in rows: current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') point_timestamps.append(current_datetime) point_values.append(row[1]) elif point['object_type'] == 'DIGITAL_VALUE': query = (" SELECT utc_date_time, actual_value " " FROM tbl_digital_value " " WHERE point_id = %s " " AND utc_date_time BETWEEN %s AND %s " " ORDER BY utc_date_time ") cursor_historical.execute(query, (point['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) rows = cursor_historical.fetchall() if rows is not None and len(rows) > 0: for row in rows: current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ timedelta(minutes=timezone_offset) current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') point_timestamps.append(current_datetime) point_values.append(row[1]) parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') parameters_data['timestamps'].append(point_timestamps) parameters_data['values'].append(point_values) ################################################################################################################ # Step 11: query associated equipments energy input ################################################################################################################ associated_equipment_data = dict() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: associated_equipment_data[energy_category_id] = dict() associated_equipment_data[energy_category_id]['associated_equipment_names'] = list() associated_equipment_data[energy_category_id]['subtotals'] = list() for associated_equipment in associated_equipment_list: associated_equipment_data[energy_category_id]['associated_equipment_names'].append( associated_equipment['name']) cursor_energy.execute(" SELECT SUM(actual_value) " " FROM tbl_equipment_input_category_hourly " " WHERE equipment_id = %s " " AND energy_category_id = %s " " AND start_datetime_utc >= %s " " AND start_datetime_utc < %s " " ORDER BY start_datetime_utc ", (associated_equipment['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] associated_equipment_data[energy_category_id]['subtotals'].append(subtotal) ################################################################################################################ # Step 12: 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() result = dict() result['combined_equipment'] = dict() result['combined_equipment']['name'] = combined_equipment['name'] result['base_period_efficiency'] = dict() result['base_period_efficiency']['timestamps'] = list() result['base_period_efficiency']['values'] = list() result['base_period_efficiency']['cumulations'] = list() result['reporting_period_efficiency'] = dict() result['reporting_period_efficiency']['names'] = list() result['reporting_period_efficiency']['units'] = list() result['reporting_period_efficiency']['timestamps'] = list() result['reporting_period_efficiency']['values'] = list() result['reporting_period_efficiency']['cumulations'] = list() result['reporting_period_efficiency']['increment_rates'] = list() if fraction_list is not None and len(fraction_list) > 0: for fraction in fraction_list: result['base_period_efficiency']['timestamps'].append(base[fraction['id']]['timestamps']) result['base_period_efficiency']['values'].append(base[fraction['id']]['values']) result['base_period_efficiency']['cumulations'].append(base[fraction['id']]['cumulation']) result['reporting_period_efficiency']['names'].append(reporting[fraction['id']]['name']) result['reporting_period_efficiency']['units'].append(reporting[fraction['id']]['unit']) result['reporting_period_efficiency']['timestamps'].append(reporting[fraction['id']]['timestamps']) result['reporting_period_efficiency']['values'].append(reporting[fraction['id']]['values']) result['reporting_period_efficiency']['cumulations'].append(reporting[fraction['id']]['cumulation']) result['reporting_period_efficiency']['increment_rates'].append( (reporting[fraction['id']]['cumulation'] - base[fraction['id']]['cumulation']) / base[fraction['id']]['cumulation'] if base[fraction['id']]['cumulation'] > Decimal(0.0) else None) result['parameters'] = { "names": parameters_data['names'], "timestamps": parameters_data['timestamps'], "values": parameters_data['values'] } result['associated_equipment'] = dict() result['associated_equipment']['energy_category_names'] = list() result['associated_equipment']['units'] = list() result['associated_equipment']['associated_equipment_names_array'] = list() result['associated_equipment']['subtotals_array'] = list() if energy_category_set is not None and len(energy_category_set) > 0: for energy_category_id in energy_category_set: result['associated_equipment']['energy_category_names'].append( energy_category_dict[energy_category_id]['name']) result['associated_equipment']['units'].append( energy_category_dict[energy_category_id]['unit_of_measure']) result['associated_equipment']['associated_equipment_names_array'].append( associated_equipment_data[energy_category_id]['associated_equipment_names']) result['associated_equipment']['subtotals_array'].append( associated_equipment_data[energy_category_id]['subtotals']) # export result to Excel file and then encode the file to base64 string result['excel_bytes_base64'] = None if not is_quick_mode: result['excel_bytes_base64'] = \ excelexporters.combinedequipmentefficiency.export(result, combined_equipment['name'], reporting_start_datetime_local, reporting_end_datetime_local, period_type) resp.text = json.dumps(result)