228 lines
12 KiB
Python
228 lines
12 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 anytree import AnyNode, LevelOrderIter
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import excelexporters.metertracking
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from datetime import datetime, timedelta, timezone
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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: build a space tree
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# Step 3: query all meters in the space tree
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# Step 4: query start value and end value
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# Step 5: 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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space_id = req.params.get('spaceid')
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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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################################################################################################################
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# Step 1: valid parameters
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################################################################################################################
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if space_id is None:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID')
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else:
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space_id = str.strip(space_id)
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if not space_id.isdigit() or int(space_id) <= 0:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID')
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else:
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space_id = int(space_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 reporting_start_datetime_utc + timedelta(minutes=15) >= reporting_end_datetime_utc:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
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description='API.THE_REPORTING_PERIOD_MUST_BE_LONGER_THAN_15_MINUTES')
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cnx_system_db = mysql.connector.connect(**config.myems_system_db)
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cursor_system_db = cnx_system_db.cursor(dictionary=True)
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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_db.execute(" SELECT name "
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" FROM tbl_spaces "
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" WHERE id = %s ", (space_id,))
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row = cursor_system_db.fetchone()
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if row is None:
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND',
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description='API.SPACE_NOT_FOUND')
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else:
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space_name = row['name']
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################################################################################################################
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# Step 2: build a space tree
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################################################################################################################
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query = (" SELECT id, name, parent_space_id "
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" FROM tbl_spaces "
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" ORDER BY id ")
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cursor_system_db.execute(query)
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rows_spaces = cursor_system_db.fetchall()
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node_dict = dict()
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if rows_spaces is not None and len(rows_spaces) > 0:
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for row in rows_spaces:
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parent_node = node_dict[row['parent_space_id']] if row['parent_space_id'] is not None else None
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node_dict[row['id']] = AnyNode(id=row['id'], parent=parent_node, name=row['name'])
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################################################################################################################
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# Step 3: query all meters in the space tree
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################################################################################################################
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meter_dict = dict()
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space_dict = dict()
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for node in LevelOrderIter(node_dict[space_id]):
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space_dict[node.id] = node.name
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cursor_system_db.execute(" SELECT m.id, m.name AS meter_name, s.name AS space_name, "
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" cc.name AS cost_center_name, ec.name AS energy_category_name, "
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" m.description "
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" FROM tbl_spaces s, tbl_spaces_meters sm, tbl_meters m, tbl_cost_centers cc, "
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" tbl_energy_categories ec "
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" WHERE s.id IN ( " + ', '.join(map(str, space_dict.keys())) + ") "
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" AND sm.space_id = s.id AND sm.meter_id = m.id "
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" AND m.cost_center_id = cc.id AND m.energy_category_id = ec.id ", )
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rows_meters = cursor_system_db.fetchall()
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if rows_meters is not None and len(rows_meters) > 0:
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for row in rows_meters:
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meter_dict[row['id']] = {"meter_name": row['meter_name'],
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"space_name": row['space_name'],
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"cost_center_name": row['cost_center_name'],
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"energy_category_name": row['energy_category_name'],
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"description": row['description']}
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################################################################################################################
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# Step 4: query start value and end value
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################################################################################################################
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for meter_id in meter_dict:
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cursor_system_db.execute(" SELECT point_id "
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" FROM tbl_meters_points mp, tbl_points p"
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" WHERE p.id = mp.point_id AND p.object_type = 'ENERGY_VALUE' "
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" AND meter_id = %s ", (meter_id, ))
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rows_points_id = cursor_system_db.fetchall()
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start_value = None
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end_value = None
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if rows_points_id is not None and len(rows_points_id) > 0:
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query_start_value = (" SELECT actual_value "
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" FROM tbl_energy_value "
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" where point_id in ("
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+ ', '.join(map(lambda x: str(x['point_id']), rows_points_id)) + ") "
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" AND utc_date_time BETWEEN %s AND %s "
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" order by utc_date_time ASC LIMIT 0,1")
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query_end_value = (" SELECT actual_value "
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" FROM tbl_energy_value "
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" where point_id in ("
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+ ', '.join(map(lambda x: str(x['point_id']), rows_points_id)) + ") "
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" AND utc_date_time BETWEEN %s AND %s "
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" order by utc_date_time DESC LIMIT 0,1")
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cursor_historical.execute(query_start_value,
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(reporting_start_datetime_utc,
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(reporting_start_datetime_utc + timedelta(minutes=15)), ))
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row_start_value = cursor_historical.fetchone()
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if row_start_value is not None:
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start_value = row_start_value[0]
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cursor_historical.execute(query_end_value,
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((reporting_end_datetime_utc - timedelta(minutes=15)),
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reporting_end_datetime_utc, ))
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row_end_value = cursor_historical.fetchone()
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if row_end_value is not None:
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end_value = row_end_value[0]
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meter_dict[meter_id]['start_value'] = start_value
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meter_dict[meter_id]['end_value'] = end_value
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if cursor_system_db:
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cursor_system_db.close()
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if cnx_system_db:
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cnx_system_db.close()
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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.close()
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################################################################################################################
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# Step 5: construct the report
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################################################################################################################
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meter_list = list()
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for meter_id, meter in meter_dict.items():
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meter_list.append({
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"id": meter_id,
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"meter_name": meter['meter_name'],
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"space_name": meter['space_name'],
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"cost_center_name": meter['cost_center_name'],
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"energy_category_name": meter['energy_category_name'],
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"description": meter['description'],
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"start_value": meter['start_value'],
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"end_value": meter['end_value']
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})
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result = {'meters': meter_list}
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# export result to Excel file and then encode the file to base64 string
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result['excel_bytes_base64'] = \
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excelexporters.metertracking.export(result,
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space_name,
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reporting_period_start_datetime_local,
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reporting_period_end_datetime_local)
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resp.text = json.dumps(result)
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