281 lines
14 KiB
Python
281 lines
14 KiB
Python
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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from core import utilities
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import excelexporters.metertrend
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class Reporting:
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@staticmethod
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def __init__():
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""""Initializes Reporting"""
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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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reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime')
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reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime')
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quick_mode = req.params.get('quickmode')
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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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if reporting_period_start_datetime_local 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_START_DATETIME")
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else:
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reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local)
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try:
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reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local,
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'%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_START_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_local 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_END_DATETIME")
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else:
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reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local)
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try:
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reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local,
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'%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_END_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_END_DATETIME')
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# if turn quick mode on, do not return parameters data and excel file
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is_quick_mode = False
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if quick_mode is not None and \
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len(str.strip(quick_mode)) > 0 and \
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str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'):
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is_quick_mode = True
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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, ec.kgce, ec.kgco2e "
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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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meter['kgce'] = row_meter[6]
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meter['kgco2e'] = row_meter[7]
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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 4: query reporting period points trends
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################################################################################################################
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reporting = dict()
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reporting['names'] = list()
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reporting['timestamps'] = list()
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reporting['values'] = list()
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for point in point_list:
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if is_quick_mode and point['object_type'] != 'ENERGY_VALUE':
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continue
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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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elif point['object_type'] == 'ENERGY_VALUE':
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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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point_timestamps.append(current_datetime)
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point_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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" 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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reporting['names'].append(point['name'] + ' (' + point['units'] + ')')
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reporting['timestamps'].append(point_timestamps)
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reporting['values'].append(point_values)
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################################################################################################################
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# Step 5: 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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if not is_quick_mode:
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tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'],
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meter['energy_category_id'],
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reporting_start_datetime_utc,
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reporting_end_datetime_utc)
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print(tariff_dict)
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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-' + 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 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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"kgce": meter['kgce'],
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"kgco2e": meter['kgco2e'],
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},
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"reporting_period": {
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"names": reporting['names'],
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"timestamps": reporting['timestamps'],
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"values": reporting['values'],
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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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"excel_bytes_base64": None
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}
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# export result to Excel file and then encode the file to base64 string
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if not is_quick_mode:
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result['excel_bytes_base64'] = excelexporters.metertrend.export(result,
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meter['name'],
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reporting_period_start_datetime_local,
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reporting_period_end_datetime_local,
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None)
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resp.text = json.dumps(result)
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