237 lines
12 KiB
Python
237 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 Node, AnyNode, LevelOrderIter
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from datetime import datetime, timedelta, timezone
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from decimal import Decimal
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import excelexporters.meterbatch
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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: build a space tree
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# Step 3: query all meters in the space tree
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# Step 4: query energy categories
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# Step 5: query reporting period energy input
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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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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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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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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.disconnect()
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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, m.energy_category_id, "
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" s.name AS space_name, "
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" cc.name AS cost_center_name"
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" FROM tbl_spaces s, tbl_spaces_meters sm, "
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" tbl_meters m, tbl_cost_centers cc "
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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 ", )
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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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"energy_category_id": row['energy_category_id'],
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"space_name": row['space_name'],
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"cost_center_name": row['cost_center_name'],
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"values": list()}
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################################################################################################################
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# Step 4: query energy categories
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################################################################################################################
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cnx_energy_db = mysql.connector.connect(**config.myems_energy_db)
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cursor_energy_db = cnx_energy_db.cursor()
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# query energy categories in reporting period
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energy_category_set = set()
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if rows_meters is not None or len(rows_meters) > 0:
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for row_meter in rows_meters:
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energy_category_set.add(row_meter['energy_category_id'])
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# query all energy categories
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cursor_system_db.execute(" SELECT id, name, unit_of_measure "
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" FROM tbl_energy_categories "
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" ORDER BY id ", )
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rows_energy_categories = cursor_system_db.fetchall()
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if rows_energy_categories is None or len(rows_energy_categories) == 0:
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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.disconnect()
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if cursor_energy_db:
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cursor_energy_db.close()
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if cnx_energy_db:
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cnx_energy_db.disconnect()
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raise falcon.HTTPError(falcon.HTTP_404,
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title='API.NOT_FOUND',
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description='API.ENERGY_CATEGORY_NOT_FOUND')
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energy_category_list = list()
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for row_energy_category in rows_energy_categories:
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if row_energy_category['id'] in energy_category_set:
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energy_category_list.append({"id": row_energy_category['id'],
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"name": row_energy_category['name'],
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"unit_of_measure": row_energy_category['unit_of_measure']})
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################################################################################################################
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# Step 5: query reporting period energy input
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################################################################################################################
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for meter_id in meter_dict:
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cursor_energy_db.execute(" SELECT SUM(actual_value) "
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" FROM tbl_meter_hourly "
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" WHERE 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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(meter_id,
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reporting_start_datetime_utc,
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reporting_end_datetime_utc))
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rows_meter_energy = cursor_energy_db.fetchall()
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for energy_category in energy_category_list:
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subtotal = Decimal(0.0)
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for row_meter_energy in rows_meter_energy:
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if energy_category['id'] == meter_dict[meter_id]['energy_category_id']:
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subtotal = row_meter_energy[0]
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break
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meter_dict[meter_id]['values'].append(subtotal)
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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.disconnect()
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if cursor_energy_db:
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cursor_energy_db.close()
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if cnx_energy_db:
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cnx_energy_db.disconnect()
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################################################################################################################
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# Step 6: 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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"values": meter['values'],
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})
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result = {'meters': meter_list,
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'energycategories': energy_category_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.meterbatch.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.body = json.dumps(result)
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