629 lines
36 KiB
Python
629 lines
36 KiB
Python
import re
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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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from core import utilities
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from decimal import Decimal
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import excelexporters.spaceenergyitem
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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 space
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# Step 3: query energy items
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# Step 4: query associated sensors
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# Step 5: query associated points
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# Step 6: query child spaces
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# Step 7: query base period energy input
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# Step 8: query reporting period energy input
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# Step 9: query tariff data
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# Step 10: query associated sensors and points data
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# Step 11: query child spaces energy input
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# Step 12: 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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space_uuid = req.params.get('spaceuuid')
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period_type = req.params.get('periodtype')
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base_start_datetime_local = req.params.get('baseperiodstartdatetime')
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base_end_datetime_local = req.params.get('baseperiodenddatetime')
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reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime')
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reporting_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 and space_uuid 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_SPACE_ID')
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if space_id is not None:
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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,
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title='API.BAD_REQUEST',
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description='API.INVALID_SPACE_ID')
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if space_uuid is not None:
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space_uuid = str.strip(space_uuid)
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regex = re.compile('^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I)
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match = regex.match(space_uuid)
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if not bool(match):
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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_SPACE_UUID')
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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', 'weekly', '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_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0:
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base_start_datetime_local = str.strip(base_start_datetime_local)
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try:
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base_start_datetime_utc = datetime.strptime(base_start_datetime_local,
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'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
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timedelta(minutes=timezone_offset)
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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_START_DATETIME")
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base_end_datetime_utc = None
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if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0:
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base_end_datetime_local = str.strip(base_end_datetime_local)
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try:
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base_end_datetime_utc = datetime.strptime(base_end_datetime_local,
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'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
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timedelta(minutes=timezone_offset)
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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_END_DATETIME")
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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_END_DATETIME')
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if reporting_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_start_datetime_local = str.strip(reporting_start_datetime_local)
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try:
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reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local,
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'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
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timedelta(minutes=timezone_offset)
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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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if reporting_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_end_datetime_local = str.strip(reporting_end_datetime_local)
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try:
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reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local,
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'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
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timedelta(minutes=timezone_offset)
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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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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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################################################################################################################
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# Step 2: query the space
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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_historical = mysql.connector.connect(**config.myems_historical_db)
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cursor_historical = cnx_historical.cursor()
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if space_id is not None:
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cursor_system.execute(" SELECT id, name, area, cost_center_id "
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" FROM tbl_spaces "
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" WHERE id = %s ", (space_id,))
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row_space = cursor_system.fetchone()
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elif space_uuid is not None:
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cursor_system.execute(" SELECT id, name, area, cost_center_id "
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" FROM tbl_spaces "
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" WHERE uuid = %s ", (space_uuid,))
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row_space = cursor_system.fetchone()
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if row_space 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_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.SPACE_NOT_FOUND')
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space = dict()
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space['id'] = row_space[0]
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space['name'] = row_space[1]
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space['area'] = row_space[2]
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space['cost_center_id'] = row_space[3]
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################################################################################################################
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# Step 3: query energy items
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################################################################################################################
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energy_item_set = set()
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# query energy items in base period
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cursor_energy.execute(" SELECT DISTINCT(energy_item_id) "
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" FROM tbl_space_input_item_hourly "
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" WHERE space_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(space['id'], base_start_datetime_utc, base_end_datetime_utc))
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rows_energy_items = cursor_energy.fetchall()
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if rows_energy_items is not None or len(rows_energy_items) > 0:
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for row_item in rows_energy_items:
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energy_item_set.add(row_item[0])
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# query energy items in reporting period
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cursor_energy.execute(" SELECT DISTINCT(energy_item_id) "
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" FROM tbl_space_input_item_hourly "
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" WHERE space_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
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rows_energy_items = cursor_energy.fetchall()
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if rows_energy_items is not None or len(rows_energy_items) > 0:
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for row_item in rows_energy_items:
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energy_item_set.add(row_item[0])
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# query all energy items in base period and reporting period
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cursor_system.execute(" SELECT ei.id, ei.name, ei.energy_category_id, "
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" ec.name AS energy_category_name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
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" FROM tbl_energy_items ei, tbl_energy_categories ec "
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" WHERE ei.energy_category_id = ec.id "
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" ORDER BY ei.id ", )
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rows_energy_items = cursor_system.fetchall()
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if rows_energy_items is None or len(rows_energy_items) == 0:
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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_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,
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title='API.NOT_FOUND',
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description='API.ENERGY_ITEM_NOT_FOUND')
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energy_item_dict = dict()
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for row_energy_item in rows_energy_items:
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if row_energy_item[0] in energy_item_set:
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energy_item_dict[row_energy_item[0]] = {"name": row_energy_item[1],
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"energy_category_id": row_energy_item[2],
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"energy_category_name": row_energy_item[3],
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"unit_of_measure": row_energy_item[4],
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"kgce": row_energy_item[5],
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"kgco2e": row_energy_item[6]}
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################################################################################################################
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# Step 4: query associated sensors
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################################################################################################################
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point_list = list()
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cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type "
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" FROM tbl_spaces sp, tbl_sensors se, tbl_spaces_sensors spse, "
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" tbl_points po, tbl_sensors_points sepo "
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" WHERE sp.id = %s AND sp.id = spse.space_id AND spse.sensor_id = se.id "
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" AND se.id = sepo.sensor_id AND sepo.point_id = po.id "
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" ORDER BY po.id ", (space['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 5: query associated points
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################################################################################################################
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cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type "
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" FROM tbl_spaces sp, tbl_spaces_points sppo, tbl_points po "
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" WHERE sp.id = %s AND sp.id = sppo.space_id AND sppo.point_id = po.id "
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" ORDER BY po.id ", (space['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 6: query child spaces
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################################################################################################################
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child_space_list = list()
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cursor_system.execute(" SELECT id, name "
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" FROM tbl_spaces "
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" WHERE parent_space_id = %s "
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" ORDER BY id ", (space['id'], ))
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rows_child_spaces = cursor_system.fetchall()
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if rows_child_spaces is not None and len(rows_child_spaces) > 0:
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for row in rows_child_spaces:
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child_space_list.append({"id": row[0], "name": row[1]})
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################################################################################################################
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# Step 7: query base period energy input
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################################################################################################################
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base = dict()
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if energy_item_set is not None and len(energy_item_set) > 0:
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for energy_item_id in energy_item_set:
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base[energy_item_id] = dict()
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base[energy_item_id]['timestamps'] = list()
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base[energy_item_id]['values'] = list()
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base[energy_item_id]['subtotal'] = Decimal(0.0)
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cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_space_input_item_hourly "
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" WHERE space_id = %s "
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" AND energy_item_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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(space['id'],
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energy_item_id,
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base_start_datetime_utc,
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base_end_datetime_utc))
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rows_space_hourly = cursor_energy.fetchall()
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rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_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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for row_space_periodically in rows_space_periodically:
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current_datetime_local = row_space_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 == 'weekly':
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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_space_periodically[1] is None else row_space_periodically[1]
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base[energy_item_id]['timestamps'].append(current_datetime)
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base[energy_item_id]['values'].append(actual_value)
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base[energy_item_id]['subtotal'] += actual_value
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################################################################################################################
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# Step 8: query reporting period energy input
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################################################################################################################
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reporting = dict()
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if energy_item_set is not None and len(energy_item_set) > 0:
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for energy_item_id in energy_item_set:
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reporting[energy_item_id] = dict()
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reporting[energy_item_id]['timestamps'] = list()
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reporting[energy_item_id]['values'] = list()
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reporting[energy_item_id]['subtotal'] = Decimal(0.0)
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reporting[energy_item_id]['toppeak'] = Decimal(0.0)
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reporting[energy_item_id]['onpeak'] = Decimal(0.0)
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reporting[energy_item_id]['midpeak'] = Decimal(0.0)
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reporting[energy_item_id]['offpeak'] = Decimal(0.0)
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cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_space_input_item_hourly "
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" WHERE space_id = %s "
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" AND energy_item_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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(space['id'],
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energy_item_id,
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reporting_start_datetime_utc,
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reporting_end_datetime_utc))
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rows_space_hourly = cursor_energy.fetchall()
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rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_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_space_periodically in rows_space_periodically:
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current_datetime_local = row_space_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 == 'weekly':
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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_space_periodically[1] is None else row_space_periodically[1]
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reporting[energy_item_id]['timestamps'].append(current_datetime)
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reporting[energy_item_id]['values'].append(actual_value)
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reporting[energy_item_id]['subtotal'] += actual_value
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energy_category_tariff_dict = \
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utilities.get_energy_category_peak_types(space['cost_center_id'],
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energy_item_dict[energy_item_id]['energy_category_id'],
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reporting_start_datetime_utc,
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reporting_end_datetime_utc)
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for row in rows_space_hourly:
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peak_type = energy_category_tariff_dict.get(row[0], None)
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if peak_type == 'toppeak':
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reporting[energy_item_id]['toppeak'] += row[1]
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elif peak_type == 'onpeak':
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reporting[energy_item_id]['onpeak'] += row[1]
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elif peak_type == 'midpeak':
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reporting[energy_item_id]['midpeak'] += row[1]
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elif peak_type == 'offpeak':
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reporting[energy_item_id]['offpeak'] += row[1]
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################################################################################################################
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# Step 9: 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 energy_item_set is not None and len(energy_item_set) > 0:
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for energy_item_id in energy_item_set:
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energy_category_tariff_dict = \
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utilities.get_energy_category_tariffs(space['cost_center_id'],
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energy_item_dict[energy_item_id]['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 energy_category_tariff_dict.items():
|
|
# convert k from utc to local
|
|
k = k + timedelta(minutes=timezone_offset)
|
|
tariff_timestamp_list.append(k.isoformat()[0:19][0:19])
|
|
tariff_value_list.append(v)
|
|
|
|
parameters_data['names'].append('TARIFF-' + energy_item_dict[energy_item_id]['name'])
|
|
parameters_data['timestamps'].append(tariff_timestamp_list)
|
|
parameters_data['values'].append(tariff_value_list)
|
|
|
|
################################################################################################################
|
|
# Step 10: query associated sensors and points data
|
|
################################################################################################################
|
|
for point in point_list:
|
|
point_values = []
|
|
point_timestamps = []
|
|
if point['object_type'] == 'ANALOG_VALUE':
|
|
query = (" SELECT utc_date_time, actual_value "
|
|
" FROM tbl_analog_value "
|
|
" WHERE point_id = %s "
|
|
" AND utc_date_time BETWEEN %s AND %s "
|
|
" ORDER BY utc_date_time ")
|
|
cursor_historical.execute(query, (point['id'],
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
rows = cursor_historical.fetchall()
|
|
|
|
if rows is not None and len(rows) > 0:
|
|
for row in rows:
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
|
|
timedelta(minutes=timezone_offset)
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
|
|
point_timestamps.append(current_datetime)
|
|
point_values.append(row[1])
|
|
|
|
elif point['object_type'] == 'ENERGY_VALUE':
|
|
query = (" SELECT utc_date_time, actual_value "
|
|
" FROM tbl_energy_value "
|
|
" WHERE point_id = %s "
|
|
" AND utc_date_time BETWEEN %s AND %s "
|
|
" ORDER BY utc_date_time ")
|
|
cursor_historical.execute(query, (point['id'],
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
rows = cursor_historical.fetchall()
|
|
|
|
if rows is not None and len(rows) > 0:
|
|
for row in rows:
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
|
|
timedelta(minutes=timezone_offset)
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
|
|
point_timestamps.append(current_datetime)
|
|
point_values.append(row[1])
|
|
elif point['object_type'] == 'DIGITAL_VALUE':
|
|
query = (" SELECT utc_date_time, actual_value "
|
|
" FROM tbl_digital_value "
|
|
" WHERE point_id = %s "
|
|
" AND utc_date_time BETWEEN %s AND %s "
|
|
" ORDER BY utc_date_time ")
|
|
cursor_historical.execute(query, (point['id'],
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
rows = cursor_historical.fetchall()
|
|
|
|
if rows is not None and len(rows) > 0:
|
|
for row in rows:
|
|
current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
|
|
timedelta(minutes=timezone_offset)
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
|
|
point_timestamps.append(current_datetime)
|
|
point_values.append(row[1])
|
|
|
|
parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')')
|
|
parameters_data['timestamps'].append(point_timestamps)
|
|
parameters_data['values'].append(point_values)
|
|
|
|
################################################################################################################
|
|
# Step 11: query child spaces energy input
|
|
################################################################################################################
|
|
child_space_data = dict()
|
|
|
|
if energy_item_set is not None and len(energy_item_set) > 0:
|
|
for energy_item_id in energy_item_set:
|
|
child_space_data[energy_item_id] = dict()
|
|
child_space_data[energy_item_id]['child_space_names'] = list()
|
|
child_space_data[energy_item_id]['subtotals'] = list()
|
|
|
|
for child_space in child_space_list:
|
|
child_space_data[energy_item_id]['child_space_names'].append(child_space['name'])
|
|
|
|
cursor_energy.execute(" SELECT SUM(actual_value) "
|
|
" FROM tbl_space_input_item_hourly "
|
|
" WHERE space_id = %s "
|
|
" AND energy_item_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ",
|
|
(child_space['id'],
|
|
energy_item_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
row_subtotal = cursor_energy.fetchone()
|
|
|
|
subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0]
|
|
child_space_data[energy_item_id]['subtotals'].append(subtotal)
|
|
|
|
################################################################################################################
|
|
# Step 12: construct the report
|
|
################################################################################################################
|
|
if cursor_system:
|
|
cursor_system.close()
|
|
if cnx_system:
|
|
cnx_system.disconnect()
|
|
|
|
if cursor_energy:
|
|
cursor_energy.close()
|
|
if cnx_energy:
|
|
cnx_energy.disconnect()
|
|
|
|
if cursor_historical:
|
|
cursor_historical.close()
|
|
if cnx_historical:
|
|
cnx_historical.disconnect()
|
|
|
|
result = dict()
|
|
|
|
result['space'] = dict()
|
|
result['space']['name'] = space['name']
|
|
result['space']['area'] = space['area']
|
|
|
|
result['base_period'] = dict()
|
|
result['base_period']['names'] = list()
|
|
result['base_period']['units'] = list()
|
|
result['base_period']['timestamps'] = list()
|
|
result['base_period']['values'] = list()
|
|
result['base_period']['subtotals'] = list()
|
|
if energy_item_set is not None and len(energy_item_set) > 0:
|
|
for energy_item_id in energy_item_set:
|
|
result['base_period']['names'].append(energy_item_dict[energy_item_id]['name'])
|
|
result['base_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure'])
|
|
result['base_period']['timestamps'].append(base[energy_item_id]['timestamps'])
|
|
result['base_period']['values'].append(base[energy_item_id]['values'])
|
|
result['base_period']['subtotals'].append(base[energy_item_id]['subtotal'])
|
|
|
|
result['reporting_period'] = dict()
|
|
result['reporting_period']['names'] = list()
|
|
result['reporting_period']['energy_item_ids'] = list()
|
|
result['reporting_period']['energy_category_names'] = list()
|
|
result['reporting_period']['energy_category_ids'] = list()
|
|
result['reporting_period']['units'] = list()
|
|
result['reporting_period']['timestamps'] = list()
|
|
result['reporting_period']['values'] = list()
|
|
result['reporting_period']['subtotals'] = list()
|
|
result['reporting_period']['subtotals_per_unit_area'] = list()
|
|
result['reporting_period']['toppeaks'] = list()
|
|
result['reporting_period']['onpeaks'] = list()
|
|
result['reporting_period']['midpeaks'] = list()
|
|
result['reporting_period']['offpeaks'] = list()
|
|
result['reporting_period']['increment_rates'] = list()
|
|
|
|
if energy_item_set is not None and len(energy_item_set) > 0:
|
|
for energy_item_id in energy_item_set:
|
|
result['reporting_period']['names'].append(energy_item_dict[energy_item_id]['name'])
|
|
result['reporting_period']['energy_item_ids'].append(energy_item_id)
|
|
result['reporting_period']['energy_category_names'].append(
|
|
energy_item_dict[energy_item_id]['energy_category_name'])
|
|
result['reporting_period']['energy_category_ids'].append(
|
|
energy_item_dict[energy_item_id]['energy_category_id'])
|
|
result['reporting_period']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure'])
|
|
result['reporting_period']['timestamps'].append(reporting[energy_item_id]['timestamps'])
|
|
result['reporting_period']['values'].append(reporting[energy_item_id]['values'])
|
|
result['reporting_period']['subtotals'].append(reporting[energy_item_id]['subtotal'])
|
|
result['reporting_period']['subtotals_per_unit_area'].append(
|
|
reporting[energy_item_id]['subtotal'] / space['area'] if space['area'] > 0.0 else None)
|
|
result['reporting_period']['toppeaks'].append(reporting[energy_item_id]['toppeak'])
|
|
result['reporting_period']['onpeaks'].append(reporting[energy_item_id]['onpeak'])
|
|
result['reporting_period']['midpeaks'].append(reporting[energy_item_id]['midpeak'])
|
|
result['reporting_period']['offpeaks'].append(reporting[energy_item_id]['offpeak'])
|
|
result['reporting_period']['increment_rates'].append(
|
|
(reporting[energy_item_id]['subtotal'] - base[energy_item_id]['subtotal']) /
|
|
base[energy_item_id]['subtotal']
|
|
if base[energy_item_id]['subtotal'] > 0.0 else None)
|
|
|
|
result['parameters'] = {
|
|
"names": parameters_data['names'],
|
|
"timestamps": parameters_data['timestamps'],
|
|
"values": parameters_data['values']
|
|
}
|
|
|
|
result['child_space'] = dict()
|
|
result['child_space']['energy_item_names'] = list() # 1D array [energy item]
|
|
result['child_space']['units'] = list() # 1D array [energy item]
|
|
result['child_space']['child_space_names_array'] = list() # 2D array [energy item][child space]
|
|
result['child_space']['subtotals_array'] = list() # 2D array [energy item][child space]
|
|
if energy_item_set is not None and len(energy_item_set) > 0:
|
|
for energy_item_id in energy_item_set:
|
|
result['child_space']['energy_item_names'].append(energy_item_dict[energy_item_id]['name'])
|
|
result['child_space']['units'].append(energy_item_dict[energy_item_id]['unit_of_measure'])
|
|
result['child_space']['child_space_names_array'].append(
|
|
child_space_data[energy_item_id]['child_space_names'])
|
|
result['child_space']['subtotals_array'].append(
|
|
child_space_data[energy_item_id]['subtotals'])
|
|
|
|
# export result to Excel file and then encode the file to base64 string
|
|
result['excel_bytes_base64'] = excelexporters.spaceenergyitem.export(result,
|
|
space['name'],
|
|
reporting_start_datetime_local,
|
|
reporting_end_datetime_local,
|
|
period_type)
|
|
|
|
resp.text = json.dumps(result)
|