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reports.meterrealtime.Reporting.on_options()   A

Complexity

Conditions 1

Size

Total Lines 3
Code Lines 3

Duplication

Lines 0
Ratio 0 %

Importance

Changes 0
Metric Value
cc 1
eloc 3
nop 2
dl 0
loc 3
rs 10
c 0
b 0
f 0
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import falcon
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import simplejson as json
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import mysql.connector
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import config
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from datetime import datetime, timedelta, timezone
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import utilities
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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 meter and energy category
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    # Step 3: query associated points
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    # Step 4: query reporting period points trends
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    # Step 5: query tariff data
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    # Step 6: 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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        meter_id = req.params.get('meterid')
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        ################################################################################################################
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        # Step 1: valid parameters
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        ################################################################################################################
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        if meter_id is None:
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            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID')
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        else:
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            meter_id = str.strip(meter_id)
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            if not meter_id.isdigit() or int(meter_id) <= 0:
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                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID')
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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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        reporting_end_datetime_utc = datetime.utcnow()
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        reporting_start_datetime_utc = reporting_end_datetime_utc - timedelta(minutes=60)
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        ################################################################################################################
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        # Step 2: query the 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_historical = mysql.connector.connect(**config.myems_historical_db)
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        cursor_historical = cnx_historical.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 "
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                              " FROM tbl_meters m, tbl_energy_categories ec "
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                              " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,))
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        row_meter = cursor_system.fetchone()
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        if row_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_historical:
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                cursor_historical.close()
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            if cnx_historical:
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                cnx_historical.disconnect()
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            raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND')
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        meter = dict()
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        meter['id'] = row_meter[0]
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        meter['name'] = row_meter[1]
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        meter['cost_center_id'] = row_meter[2]
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        meter['energy_category_id'] = row_meter[3]
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        meter['energy_category_name'] = row_meter[4]
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        meter['unit_of_measure'] = row_meter[5]
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        ################################################################################################################
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        # Step 3: query associated points
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        ################################################################################################################
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        point_list = list()
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        cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type  "
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                              " FROM tbl_meters m, tbl_meters_points mp, tbl_points p "
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                              " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id "
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                              " ORDER BY p.id ", (meter['id'],))
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        rows_points = cursor_system.fetchall()
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        if rows_points is not None and len(rows_points) > 0:
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            for row in rows_points:
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                point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]})
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        ################################################################################################################
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        # Step 7: query associated points data
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        ################################################################################################################
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        energy_value_data = dict()
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        energy_value_data['name'] = None
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        energy_value_data['timestamps'] = list()
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        energy_value_data['values'] = list()
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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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        for point in point_list:
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            point_values = []
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            point_timestamps = []
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            if point['object_type'] == 'ANALOG_VALUE':
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                query = (" SELECT utc_date_time, actual_value "
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                         " FROM tbl_analog_value "
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                         " WHERE point_id = %s "
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                         "       AND utc_date_time BETWEEN %s AND %s "
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                         " ORDER BY utc_date_time ")
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                cursor_historical.execute(query, (point['id'],
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                                                  reporting_start_datetime_utc,
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                                                  reporting_end_datetime_utc))
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                rows = cursor_historical.fetchall()
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                if rows is not None and len(rows) > 0:
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                    for row in rows:
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                        current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
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                                                 timedelta(minutes=timezone_offset)
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                        current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
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                        point_timestamps.append(current_datetime)
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                        point_values.append(row[1])
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                parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')')
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                parameters_data['timestamps'].append(point_timestamps)
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                parameters_data['values'].append(point_values)
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            elif point['object_type'] == 'ENERGY_VALUE':
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                energy_value_data['name'] = point['name']
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                query = (" SELECT utc_date_time, actual_value "
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                         " FROM tbl_energy_value "
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                         " WHERE point_id = %s "
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                         "       AND utc_date_time BETWEEN %s AND %s "
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                         " ORDER BY utc_date_time ")
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                cursor_historical.execute(query, (point['id'],
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                                                  reporting_start_datetime_utc,
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                                                  reporting_end_datetime_utc))
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                rows = cursor_historical.fetchall()
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                if rows is not None and len(rows) > 0:
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                    for row in rows:
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                        current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
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                                                 timedelta(minutes=timezone_offset)
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                        current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
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                        energy_value_data['timestamps'].append(current_datetime)
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                        energy_value_data['values'].append(row[1])
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            elif point['object_type'] == 'DIGITAL_VALUE':
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                query = (" SELECT utc_date_time, actual_value "
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                         " FROM tbl_digital_value "
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                         " WHERE point_id = %s "
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                         "       AND utc_date_time BETWEEN %s AND %s ")
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                cursor_historical.execute(query, (point['id'],
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                                                  reporting_start_datetime_utc,
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                                                  reporting_end_datetime_utc))
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                rows = cursor_historical.fetchall()
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                if rows is not None and len(rows) > 0:
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                    for row in rows:
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                        current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
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                                                 timedelta(minutes=timezone_offset)
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                        current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
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                        point_timestamps.append(current_datetime)
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                        point_values.append(row[1])
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                parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')')
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                parameters_data['timestamps'].append(point_timestamps)
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                parameters_data['values'].append(point_values)
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        ################################################################################################################
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        # Step 6: 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_historical:
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            cursor_historical.close()
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        if cnx_historical:
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            cnx_historical.disconnect()
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        result = {
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            "meter": {
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                "cost_center_id": meter['cost_center_id'],
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                "energy_category_id": meter['energy_category_id'],
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                "energy_category_name": meter['energy_category_name'],
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                "unit_of_measure": meter['unit_of_measure'],
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            },
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            "energy_value": energy_value_data,
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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)
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