Code Duplication    Length = 381-382 lines in 2 locations

reports/offlinemetercost.py 1 location

@@ 10-391 (lines=382) @@
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from decimal import *
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class Reporting:
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    @staticmethod
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    def __init__():
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        pass
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    @staticmethod
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    def on_options(req, resp):
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        resp.status = falcon.HTTP_200
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    ####################################################################################################################
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    # PROCEDURES
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    # Step 1: valid parameters
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    # Step 2: query the offline meter and energy category
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    # Step 3: query base period energy consumption
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    # Step 4: query base period energy cost
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    # Step 5: query reporting period energy consumption
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    # Step 6: query reporting period energy cost
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    # Step 7: query tariff data
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    # Step 8: construct the report
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    ####################################################################################################################
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    @staticmethod
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    def on_get(req, resp):
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        print(req.params)
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        offline_meter_id = req.params.get('offlinemeterid')
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        period_type = req.params.get('periodtype')
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        base_period_start_datetime = req.params.get('baseperiodstartdatetime')
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        base_period_end_datetime = req.params.get('baseperiodenddatetime')
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        reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
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        reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')
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        ################################################################################################################
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        # Step 1: valid parameters
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        ################################################################################################################
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        if offline_meter_id is None:
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            raise falcon.HTTPError(falcon.HTTP_400,
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                                   title='API.BAD_REQUEST',
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                                   description='API.INVALID_OFFLINE_METER_ID')
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        else:
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            offline_meter_id = str.strip(offline_meter_id)
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            if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0:
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                raise falcon.HTTPError(falcon.HTTP_400,
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                                       title='API.BAD_REQUEST',
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                                       description='API.INVALID_OFFLINE_METER_ID')
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        if period_type is None:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
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        else:
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            period_type = str.strip(period_type)
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            if period_type not in ['hourly', 'daily', 'monthly', 'yearly']:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
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        timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
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        if config.utc_offset[0] == '-':
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            timezone_offset = -timezone_offset
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        base_start_datetime_utc = None
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        if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
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            base_period_start_datetime = str.strip(base_period_start_datetime)
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            try:
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                base_start_datetime_utc = datetime.strptime(base_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
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            except ValueError:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                       description="API.INVALID_BASE_PERIOD_BEGINS_DATETIME")
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            base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \
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                timedelta(minutes=timezone_offset)
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        base_end_datetime_utc = None
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        if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
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            base_period_end_datetime = str.strip(base_period_end_datetime)
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            try:
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                base_end_datetime_utc = datetime.strptime(base_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
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            except ValueError:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                       description="API.INVALID_BASE_PERIOD_ENDS_DATETIME")
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            base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \
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                timedelta(minutes=timezone_offset)
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        if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
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                base_start_datetime_utc >= base_end_datetime_utc:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                   description='API.INVALID_BASE_PERIOD_ENDS_DATETIME')
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        if reporting_period_start_datetime is None:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                   description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
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        else:
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            reporting_period_start_datetime = str.strip(reporting_period_start_datetime)
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            try:
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                reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
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            except ValueError:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                       description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
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            reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
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                timedelta(minutes=timezone_offset)
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        if reporting_period_end_datetime is None:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                   description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
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        else:
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            reporting_period_end_datetime = str.strip(reporting_period_end_datetime)
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            try:
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                reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
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            except ValueError:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                       description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
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            reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
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                timedelta(minutes=timezone_offset)
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        if reporting_start_datetime_utc >= reporting_end_datetime_utc:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                   description='API.INVALID_REPORTING_PERIOD_ENDS_DATETIME')
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        ################################################################################################################
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        # Step 2: query the offline meter and energy category
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        ################################################################################################################
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        cnx_system = mysql.connector.connect(**config.myems_system_db)
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        cursor_system = cnx_system.cursor()
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        cnx_energy = mysql.connector.connect(**config.myems_energy_db)
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        cursor_energy = cnx_energy.cursor()
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        cnx_billing = mysql.connector.connect(**config.myems_billing_db)
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        cursor_billing = cnx_billing.cursor()
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        cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
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                              "        ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
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                              " FROM tbl_offline_meters m, tbl_energy_categories ec "
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                              " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,))
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        row_offline_meter = cursor_system.fetchone()
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        if row_offline_meter is None:
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            if cursor_system:
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                cursor_system.close()
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            if cnx_system:
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                cnx_system.disconnect()
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            if cursor_energy:
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                cursor_energy.close()
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            if cnx_energy:
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                cnx_energy.disconnect()
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            if cursor_billing:
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                cursor_billing.close()
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            if cnx_billing:
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                cnx_billing.disconnect()
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            raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND')
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        offline_meter = dict()
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        offline_meter['id'] = row_offline_meter[0]
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        offline_meter['name'] = row_offline_meter[1]
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        offline_meter['cost_center_id'] = row_offline_meter[2]
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        offline_meter['energy_category_id'] = row_offline_meter[3]
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        offline_meter['energy_category_name'] = row_offline_meter[4]
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        offline_meter['unit_of_measure'] = config.currency_unit
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        offline_meter['kgce'] = row_offline_meter[6]
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        offline_meter['kgco2e'] = row_offline_meter[7]
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        ################################################################################################################
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        # Step 3: query base period energy consumption
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        ################################################################################################################
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        query = (" SELECT start_datetime_utc, actual_value "
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                 " FROM tbl_offline_meter_hourly "
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                 " WHERE offline_meter_id = %s "
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                 " AND start_datetime_utc >= %s "
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                 " AND start_datetime_utc < %s "
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                 " ORDER BY start_datetime_utc ")
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        cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
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        rows_offline_meter_hourly = cursor_energy.fetchall()
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        rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
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                                                                                    base_start_datetime_utc,
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                                                                                    base_end_datetime_utc,
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                                                                                    period_type)
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        base = dict()
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        base['timestamps'] = list()
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        base['values_in_category'] = list()
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        base['total_in_category'] = Decimal(0.0)
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        base['values_in_kgce'] = list()
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        base['total_in_kgce'] = Decimal(0.0)
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        base['values_in_kgco2e'] = list()
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        base['total_in_kgco2e'] = Decimal(0.0)
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        for row_offline_meter_periodically in rows_offline_meter_periodically:
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            current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
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                                     timedelta(minutes=timezone_offset)
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            if period_type == 'hourly':
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                current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
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            elif period_type == 'daily':
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                current_datetime = current_datetime_local.strftime('%Y-%m-%d')
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            elif period_type == 'monthly':
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                current_datetime = current_datetime_local.strftime('%Y-%m')
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            elif period_type == 'yearly':
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                current_datetime = current_datetime_local.strftime('%Y')
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            actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
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                else row_offline_meter_periodically[1]
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            base['timestamps'].append(current_datetime)
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            base['values_in_kgce'].append(actual_value * offline_meter['kgce'])
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            base['total_in_kgce'] += actual_value * offline_meter['kgce']
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            base['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e'])
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            base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
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        ################################################################################################################
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        # Step 4: query base period energy cost
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        ################################################################################################################
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        query = (" SELECT start_datetime_utc, actual_value "
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                 " FROM tbl_offline_meter_hourly "
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                 " WHERE offline_meter_id = %s "
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                 " AND start_datetime_utc >= %s "
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                 " AND start_datetime_utc < %s "
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                 " ORDER BY start_datetime_utc ")
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        cursor_billing.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
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        rows_offline_meter_hourly = cursor_billing.fetchall()
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        rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
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                                                                                    base_start_datetime_utc,
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                                                                                    base_end_datetime_utc,
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                                                                                    period_type)
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        base['values_in_category'] = list()
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        base['total_in_category'] = Decimal(0.0)
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        for row_offline_meter_periodically in rows_offline_meter_periodically:
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            actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
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                else row_offline_meter_periodically[1]
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            base['values_in_category'].append(actual_value)
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            base['total_in_category'] += actual_value
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        ################################################################################################################
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        # Step 5: query reporting period energy consumption
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        ################################################################################################################
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        query = (" SELECT start_datetime_utc, actual_value "
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                 " FROM tbl_offline_meter_hourly "
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                 " WHERE offline_meter_id = %s "
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                 " AND start_datetime_utc >= %s "
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                 " AND start_datetime_utc < %s "
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                 " ORDER BY start_datetime_utc ")
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        cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
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        rows_offline_meter_hourly = cursor_energy.fetchall()
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        rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
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                                                                                    reporting_start_datetime_utc,
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                                                                                    reporting_end_datetime_utc,
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                                                                                    period_type)
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        reporting = dict()
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        reporting['timestamps'] = list()
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        reporting['values_in_category'] = list()
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        reporting['total_in_category'] = Decimal(0.0)
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        reporting['values_in_kgce'] = list()
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        reporting['total_in_kgce'] = Decimal(0.0)
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        reporting['values_in_kgco2e'] = list()
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        reporting['total_in_kgco2e'] = Decimal(0.0)
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        for row_offline_meter_periodically in rows_offline_meter_periodically:
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            current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
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                timedelta(minutes=timezone_offset)
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            if period_type == 'hourly':
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                current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
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            elif period_type == 'daily':
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                current_datetime = current_datetime_local.strftime('%Y-%m-%d')
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            elif period_type == 'monthly':
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                current_datetime = current_datetime_local.strftime('%Y-%m')
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            elif period_type == 'yearly':
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                current_datetime = current_datetime_local.strftime('%Y')
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            actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
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                else row_offline_meter_periodically[1]
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            reporting['timestamps'].append(current_datetime)
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            reporting['values_in_kgce'].append(actual_value * offline_meter['kgce'])
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            reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
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            reporting['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e'])
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            reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
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        ################################################################################################################
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        # Step 6: query reporting period energy cost
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        ################################################################################################################
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        query = (" SELECT start_datetime_utc, actual_value "
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                 " FROM tbl_offline_meter_hourly "
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                 " WHERE offline_meter_id = %s "
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                 " AND start_datetime_utc >= %s "
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                 " AND start_datetime_utc < %s "
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                 " ORDER BY start_datetime_utc ")
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        cursor_billing.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
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        rows_offline_meter_hourly = cursor_billing.fetchall()
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        rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
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                                                                                    reporting_start_datetime_utc,
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                                                                                    reporting_end_datetime_utc,
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                                                                                    period_type)
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        for row_offline_meter_periodically in rows_offline_meter_periodically:
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            actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
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                else row_offline_meter_periodically[1]
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            reporting['values_in_category'].append(actual_value)
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            reporting['total_in_category'] += actual_value
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        ################################################################################################################
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        # Step 7: query tariff data
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        ################################################################################################################
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        parameters_data = dict()
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        parameters_data['names'] = list()
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        parameters_data['timestamps'] = list()
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        parameters_data['values'] = list()
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        tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'],
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                                                            offline_meter['energy_category_id'],
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                                                            reporting_start_datetime_utc,
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                                                            reporting_end_datetime_utc)
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        tariff_timestamp_list = list()
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        tariff_value_list = list()
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        for k, v in tariff_dict.items():
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            # convert k from utc to local
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            k = k + timedelta(minutes=timezone_offset)
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            tariff_timestamp_list.append(k.isoformat()[0:19])
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            tariff_value_list.append(v)
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        parameters_data['names'].append('TARIFF-' + offline_meter['energy_category_name'])
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        parameters_data['timestamps'].append(tariff_timestamp_list)
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        parameters_data['values'].append(tariff_value_list)
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        ################################################################################################################
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        # Step 8: construct the report
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        ################################################################################################################
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        if cursor_system:
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            cursor_system.close()
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        if cnx_system:
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            cnx_system.disconnect()
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        if cursor_energy:
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            cursor_energy.close()
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        if cnx_energy:
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            cnx_energy.disconnect()
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        if cursor_billing:
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            cursor_billing.close()
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        if cnx_billing:
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            cnx_billing.disconnect()
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        result = {
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            "offline_meter": {
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                "cost_center_id": offline_meter['cost_center_id'],
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                "energy_category_id": offline_meter['energy_category_id'],
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                "energy_category_name": offline_meter['energy_category_name'],
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                "unit_of_measure": offline_meter['unit_of_measure'],
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                "kgce": offline_meter['kgce'],
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                "kgco2e": offline_meter['kgco2e'],
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            },
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            "reporting_period": {
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                "increment_rate":
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                    (reporting['total_in_category']-base['total_in_category'])/base['total_in_category']
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                    if base['total_in_category'] > 0 else None,
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                "total_in_category": reporting['total_in_category'],
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                "total_in_kgce": reporting['total_in_kgce'],
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                "total_in_kgco2e": reporting['total_in_kgco2e'],
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                "timestamps": [reporting['timestamps'],
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                               reporting['timestamps'],
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                               reporting['timestamps']],
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                "values": [reporting['values_in_category'],
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                           reporting['values_in_kgce'],
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                           reporting['values_in_kgco2e']],
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            },
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            "base_period": {
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                "total_in_category": base['total_in_category'],
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                "total_in_kgce": base['total_in_kgce'],
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                "total_in_kgco2e": base['total_in_kgco2e'],
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                "timestamps": [base['timestamps'],
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                               base['timestamps'],
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                               base['timestamps']],
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                "values": [base['values_in_category'],
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                           base['values_in_kgce'],
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                           base['values_in_kgco2e']],
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            },
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            "parameters": {
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                "names": parameters_data['names'],
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                "timestamps": parameters_data['timestamps'],
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                "values": parameters_data['values']
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            },
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        }
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        resp.body = json.dumps(result)
392

reports/virtualmetercost.py 1 location

@@ 10-390 (lines=381) @@
7
from decimal import *
8
9
10
class Reporting:
11
    @staticmethod
12
    def __init__():
13
        pass
14
15
    @staticmethod
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    def on_options(req, resp):
17
        resp.status = falcon.HTTP_200
18
19
    ####################################################################################################################
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    # PROCEDURES
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    # Step 1: valid parameters
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    # Step 2: query the virtual meter and energy category
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    # Step 3: query base period energy consumption
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    # Step 4: query base period energy cost
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    # Step 5: query reporting period energy consumption
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    # Step 6: query reporting period energy cost
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    # Step 7: query tariff data
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    # Step 8: construct the report
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    ####################################################################################################################
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    @staticmethod
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    def on_get(req, resp):
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        print(req.params)
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        virtual_meter_id = req.params.get('virtualmeterid')
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        period_type = req.params.get('periodtype')
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        base_period_begins_datetime = req.params.get('baseperiodstartdatetime')
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        base_period_ends_datetime = req.params.get('baseperiodenddatetime')
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        reporting_period_begins_datetime = req.params.get('reportingperiodstartdatetime')
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        reporting_period_ends_datetime = req.params.get('reportingperiodenddatetime')
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        ################################################################################################################
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        # Step 1: valid parameters
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        ################################################################################################################
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        if virtual_meter_id is None:
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            raise falcon.HTTPError(falcon.HTTP_400,
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                                   title='API.BAD_REQUEST',
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                                   description='API.INVALID_VIRTUAL_METER_ID')
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        else:
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            virtual_meter_id = str.strip(virtual_meter_id)
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            if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0:
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                raise falcon.HTTPError(falcon.HTTP_400,
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                                       title='API.BAD_REQUEST',
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                                       description='API.INVALID_VIRTUAL_METER_ID')
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        if period_type is None:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
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        else:
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            period_type = str.strip(period_type)
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            if period_type not in ['hourly', 'daily', 'monthly', 'yearly']:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
60
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        timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
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        if config.utc_offset[0] == '-':
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            timezone_offset = -timezone_offset
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        base_start_datetime_utc = None
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        if base_period_begins_datetime is not None and len(str.strip(base_period_begins_datetime)) > 0:
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            base_period_begins_datetime = str.strip(base_period_begins_datetime)
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            try:
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                base_start_datetime_utc = datetime.strptime(base_period_begins_datetime, '%Y-%m-%dT%H:%M:%S')
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            except ValueError:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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                                       description="API.INVALID_BASE_PERIOD_BEGINS_DATETIME")
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            base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \
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                timedelta(minutes=timezone_offset)
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        base_end_datetime_utc = None
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        if base_period_ends_datetime is not None and len(str.strip(base_period_ends_datetime)) > 0:
78
            base_period_ends_datetime = str.strip(base_period_ends_datetime)
79
            try:
80
                base_end_datetime_utc = datetime.strptime(base_period_ends_datetime, '%Y-%m-%dT%H:%M:%S')
81
            except ValueError:
82
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
83
                                       description="API.INVALID_BASE_PERIOD_ENDS_DATETIME")
84
            base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \
85
                timedelta(minutes=timezone_offset)
86
87
        if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
88
                base_start_datetime_utc >= base_end_datetime_utc:
89
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
90
                                   description='API.INVALID_BASE_PERIOD_ENDS_DATETIME')
91
92
        if reporting_period_begins_datetime is None:
93
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
94
                                   description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
95
        else:
96
            reporting_period_begins_datetime = str.strip(reporting_period_begins_datetime)
97
            try:
98
                reporting_start_datetime_utc = datetime.strptime(reporting_period_begins_datetime, '%Y-%m-%dT%H:%M:%S')
99
            except ValueError:
100
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
101
                                       description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
102
            reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
103
                timedelta(minutes=timezone_offset)
104
105
        if reporting_period_ends_datetime is None:
106
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
107
                                   description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
108
        else:
109
            reporting_period_ends_datetime = str.strip(reporting_period_ends_datetime)
110
            try:
111
                reporting_end_datetime_utc = datetime.strptime(reporting_period_ends_datetime, '%Y-%m-%dT%H:%M:%S')
112
            except ValueError:
113
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
114
                                       description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
115
            reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
116
                timedelta(minutes=timezone_offset)
117
118
        if reporting_start_datetime_utc >= reporting_end_datetime_utc:
119
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
120
                                   description='API.INVALID_REPORTING_PERIOD_ENDS_DATETIME')
121
122
        ################################################################################################################
123
        # Step 2: query the virtual meter and energy category
124
        ################################################################################################################
125
        cnx_system = mysql.connector.connect(**config.myems_system_db)
126
        cursor_system = cnx_system.cursor()
127
128
        cnx_energy = mysql.connector.connect(**config.myems_energy_db)
129
        cursor_energy = cnx_energy.cursor()
130
131
        cnx_billing = mysql.connector.connect(**config.myems_billing_db)
132
        cursor_billing = cnx_billing.cursor()
133
134
        cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
135
                              "        ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
136
                              " FROM tbl_virtual_meters m, tbl_energy_categories ec "
137
                              " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,))
138
        row_virtual_meter = cursor_system.fetchone()
139
        if row_virtual_meter is None:
140
            if cursor_system:
141
                cursor_system.close()
142
            if cnx_system:
143
                cnx_system.disconnect()
144
145
            if cursor_energy:
146
                cursor_energy.close()
147
            if cnx_energy:
148
                cnx_energy.disconnect()
149
150
            if cursor_billing:
151
                cursor_billing.close()
152
            if cnx_billing:
153
                cnx_billing.disconnect()
154
            raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.VIRTUAL_METER_NOT_FOUND')
155
156
        virtual_meter = dict()
157
        virtual_meter['id'] = row_virtual_meter[0]
158
        virtual_meter['name'] = row_virtual_meter[1]
159
        virtual_meter['cost_center_id'] = row_virtual_meter[2]
160
        virtual_meter['energy_category_id'] = row_virtual_meter[3]
161
        virtual_meter['energy_category_name'] = row_virtual_meter[4]
162
        virtual_meter['unit_of_measure'] = config.currency_unit
163
        virtual_meter['kgce'] = row_virtual_meter[6]
164
        virtual_meter['kgco2e'] = row_virtual_meter[7]
165
166
        ################################################################################################################
167
        # Step 3: query base period energy consumption
168
        ################################################################################################################
169
        query = (" SELECT start_datetime_utc, actual_value "
170
                 " FROM tbl_virtual_meter_hourly "
171
                 " WHERE virtual_meter_id = %s "
172
                 " AND start_datetime_utc >= %s "
173
                 " AND start_datetime_utc < %s "
174
                 " ORDER BY start_datetime_utc ")
175
        cursor_energy.execute(query, (virtual_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
176
        rows_virtual_meter_hourly = cursor_energy.fetchall()
177
178
        rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly,
179
                                                                                    base_start_datetime_utc,
180
                                                                                    base_end_datetime_utc,
181
                                                                                    period_type)
182
        base = dict()
183
        base['timestamps'] = list()
184
        base['values_in_category'] = list()
185
        base['total_in_category'] = Decimal(0.0)
186
        base['values_in_kgce'] = list()
187
        base['total_in_kgce'] = Decimal(0.0)
188
        base['values_in_kgco2e'] = list()
189
        base['total_in_kgco2e'] = Decimal(0.0)
190
191
        for row_virtual_meter_periodically in rows_virtual_meter_periodically:
192
            current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \
193
                                     timedelta(minutes=timezone_offset)
194
            if period_type == 'hourly':
195
                current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
196
            elif period_type == 'daily':
197
                current_datetime = current_datetime_local.strftime('%Y-%m-%d')
198
            elif period_type == 'monthly':
199
                current_datetime = current_datetime_local.strftime('%Y-%m')
200
            elif period_type == 'yearly':
201
                current_datetime = current_datetime_local.strftime('%Y')
202
203
            actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \
204
                else row_virtual_meter_periodically[1]
205
            base['timestamps'].append(current_datetime)
206
            base['values_in_kgce'].append(actual_value * virtual_meter['kgce'])
207
            base['total_in_kgce'] += actual_value * virtual_meter['kgce']
208
            base['values_in_kgco2e'].append(actual_value * virtual_meter['kgco2e'])
209
            base['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e']
210
211
        ################################################################################################################
212
        # Step 4: query base period energy cost
213
        ################################################################################################################
214
        query = (" SELECT start_datetime_utc, actual_value "
215
                 " FROM tbl_virtual_meter_hourly "
216
                 " WHERE virtual_meter_id = %s "
217
                 " AND start_datetime_utc >= %s "
218
                 " AND start_datetime_utc < %s "
219
                 " ORDER BY start_datetime_utc ")
220
        cursor_billing.execute(query, (virtual_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
221
        rows_virtual_meter_hourly = cursor_billing.fetchall()
222
223
        rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly,
224
                                                                                    base_start_datetime_utc,
225
                                                                                    base_end_datetime_utc,
226
                                                                                    period_type)
227
228
        base['values_in_category'] = list()
229
        base['total_in_category'] = Decimal(0.0)
230
231
        for row_virtual_meter_periodically in rows_virtual_meter_periodically:
232
            actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \
233
                else row_virtual_meter_periodically[1]
234
            base['values_in_category'].append(actual_value)
235
            base['total_in_category'] += actual_value
236
237
        ################################################################################################################
238
        # Step 5: query reporting period energy consumption
239
        ################################################################################################################
240
        query = (" SELECT start_datetime_utc, actual_value "
241
                 " FROM tbl_virtual_meter_hourly "
242
                 " WHERE virtual_meter_id = %s "
243
                 " AND start_datetime_utc >= %s "
244
                 " AND start_datetime_utc < %s "
245
                 " ORDER BY start_datetime_utc ")
246
        cursor_billing.execute(query, (virtual_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
247
        rows_virtual_meter_hourly = cursor_billing.fetchall()
248
249
        rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly,
250
                                                                                    reporting_start_datetime_utc,
251
                                                                                    reporting_end_datetime_utc,
252
                                                                                    period_type)
253
        reporting = dict()
254
        reporting['timestamps'] = list()
255
        reporting['values_in_category'] = list()
256
        reporting['total_in_category'] = Decimal(0.0)
257
        reporting['values_in_kgce'] = list()
258
        reporting['total_in_kgce'] = Decimal(0.0)
259
        reporting['values_in_kgco2e'] = list()
260
        reporting['total_in_kgco2e'] = Decimal(0.0)
261
262
        for row_virtual_meter_periodically in rows_virtual_meter_periodically:
263
            current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \
264
                timedelta(minutes=timezone_offset)
265
            if period_type == 'hourly':
266
                current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
267
            elif period_type == 'daily':
268
                current_datetime = current_datetime_local.strftime('%Y-%m-%d')
269
            elif period_type == 'monthly':
270
                current_datetime = current_datetime_local.strftime('%Y-%m')
271
            elif period_type == 'yearly':
272
                current_datetime = current_datetime_local.strftime('%Y')
273
274
            actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \
275
                else row_virtual_meter_periodically[1]
276
277
            reporting['timestamps'].append(current_datetime)
278
            reporting['values_in_kgce'].append(actual_value * virtual_meter['kgce'])
279
            reporting['total_in_kgce'] += actual_value * virtual_meter['kgce']
280
            reporting['values_in_kgco2e'].append(actual_value * virtual_meter['kgco2e'])
281
            reporting['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e']
282
283
        ################################################################################################################
284
        # Step 6: query reporting period energy cost
285
        ################################################################################################################
286
        query = (" SELECT start_datetime_utc, actual_value "
287
                 " FROM tbl_virtual_meter_hourly "
288
                 " WHERE virtual_meter_id = %s "
289
                 " AND start_datetime_utc >= %s "
290
                 " AND start_datetime_utc < %s "
291
                 " ORDER BY start_datetime_utc ")
292
        cursor_billing.execute(query, (virtual_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
293
        rows_virtual_meter_hourly = cursor_billing.fetchall()
294
295
        rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly,
296
                                                                                    reporting_start_datetime_utc,
297
                                                                                    reporting_end_datetime_utc,
298
                                                                                    period_type)
299
300
        for row_virtual_meter_periodically in rows_virtual_meter_periodically:
301
            actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \
302
                else row_virtual_meter_periodically[1]
303
304
            reporting['values_in_category'].append(actual_value)
305
            reporting['total_in_category'] += actual_value
306
307
        ################################################################################################################
308
        # Step 7: query tariff data
309
        ################################################################################################################
310
        parameters_data = dict()
311
        parameters_data['names'] = list()
312
        parameters_data['timestamps'] = list()
313
        parameters_data['values'] = list()
314
315
        tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'],
316
                                                            virtual_meter['energy_category_id'],
317
                                                            reporting_start_datetime_utc,
318
                                                            reporting_end_datetime_utc)
319
        tariff_timestamp_list = list()
320
        tariff_value_list = list()
321
        for k, v in tariff_dict.items():
322
            # convert k from utc to local
323
            k = k + timedelta(minutes=timezone_offset)
324
            tariff_timestamp_list.append(k.isoformat()[0:19])
325
            tariff_value_list.append(v)
326
327
        parameters_data['names'].append('TARIFF-' + virtual_meter['energy_category_name'])
328
        parameters_data['timestamps'].append(tariff_timestamp_list)
329
        parameters_data['values'].append(tariff_value_list)
330
331
        ################################################################################################################
332
        # Step 8: construct the report
333
        ################################################################################################################
334
        if cursor_system:
335
            cursor_system.close()
336
        if cnx_system:
337
            cnx_system.disconnect()
338
339
        if cursor_energy:
340
            cursor_energy.close()
341
        if cnx_energy:
342
            cnx_energy.disconnect()
343
344
        if cursor_billing:
345
            cursor_billing.close()
346
        if cnx_billing:
347
            cnx_billing.disconnect()
348
349
        result = {
350
            "virtual_meter": {
351
                "cost_center_id": virtual_meter['cost_center_id'],
352
                "energy_category_id": virtual_meter['energy_category_id'],
353
                "energy_category_name": virtual_meter['energy_category_name'],
354
                "unit_of_measure": virtual_meter['unit_of_measure'],
355
                "kgce": virtual_meter['kgce'],
356
                "kgco2e": virtual_meter['kgco2e'],
357
            },
358
            "reporting_period": {
359
                "increment_rate":
360
                    (reporting['total_in_category']-base['total_in_category'])/base['total_in_category']
361
                    if base['total_in_category'] > 0 else None,
362
                "total_in_category": reporting['total_in_category'],
363
                "total_in_kgce": reporting['total_in_kgce'],
364
                "total_in_kgco2e": reporting['total_in_kgco2e'],
365
                "timestamps": [reporting['timestamps'],
366
                               reporting['timestamps'],
367
                               reporting['timestamps']],
368
                "values": [reporting['values_in_category'],
369
                           reporting['values_in_kgce'],
370
                           reporting['values_in_kgco2e']],
371
            },
372
            "base_period": {
373
                "total_in_category": base['total_in_category'],
374
                "total_in_kgce": base['total_in_kgce'],
375
                "total_in_kgco2e": base['total_in_kgco2e'],
376
                "timestamps": [base['timestamps'],
377
                               base['timestamps'],
378
                               base['timestamps']],
379
                "values": [base['values_in_category'],
380
                           base['values_in_kgce'],
381
                           base['values_in_kgco2e']],
382
            },
383
            "parameters": {
384
                "names": parameters_data['names'],
385
                "timestamps": parameters_data['timestamps'],
386
                "values": parameters_data['values']
387
            },
388
        }
389
390
        resp.body = json.dumps(result)
391