813 lines
49 KiB
Python
813 lines
49 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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from decimal import Decimal
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class Reporting:
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@staticmethod
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def __init__():
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pass
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@staticmethod
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def on_options(req, resp):
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resp.status = falcon.HTTP_200
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####################################################################################################################
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# PROCEDURES
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# Step 1: valid parameters
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# Step 2: query the space
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# Step 3: query energy categories
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# Step 4: query child spaces
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# Step 5: query base period energy input
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# Step 6: query base period energy cost
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# Step 7: query reporting period energy input
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# Step 8: query reporting period energy cost
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# Step 9: query child spaces energy input
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# Step 10: query child spaces energy cost
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# Step 11: 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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user_uuid = req.params.get('useruuid')
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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 user_uuid is None:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_UUID')
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else:
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user_uuid = str.strip(user_uuid)
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if len(user_uuid) != 36:
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raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_USER_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', '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_user = mysql.connector.connect(**config.myems_user_db)
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cursor_user = cnx_user.cursor()
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cursor_user.execute(" SELECT id, is_admin, privilege_id "
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" FROM tbl_users "
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" WHERE uuid = %s ", (user_uuid,))
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row_user = cursor_user.fetchone()
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if row_user is None:
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if cursor_user:
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cursor_user.close()
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if cnx_user:
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cnx_user.disconnect()
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raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_NOT_FOUND')
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user = {'id': row_user[0], 'is_admin': row_user[1], 'privilege_id': row_user[2]}
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if user['is_admin']:
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# todo: make sure the space id is always 1 for admin
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space_id = 1
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else:
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cursor_user.execute(" SELECT data "
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" FROM tbl_privileges "
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" WHERE id = %s ", (user['privilege_id'],))
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row_privilege = cursor_user.fetchone()
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if row_privilege is None:
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if cursor_user:
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cursor_user.close()
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if cnx_user:
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cnx_user.disconnect()
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raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_PRIVILEGE_NOT_FOUND')
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privilege_data = json.loads(row_privilege[0])
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if 'spaces' not in privilege_data.keys() \
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or privilege_data['spaces'] is None \
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or len(privilege_data['spaces']) == 0:
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if cursor_user:
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cursor_user.close()
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if cnx_user:
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cnx_user.disconnect()
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raise falcon.HTTPError(falcon.HTTP_404, 'API.NOT_FOUND', 'API.USER_PRIVILEGE_NOT_FOUND')
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# todo: how to deal with multiple spaces in privilege data
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space_id = privilege_data['spaces'][0]
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if cursor_user:
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cursor_user.close()
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if cnx_user:
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cnx_user.disconnect()
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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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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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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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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 categories
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################################################################################################################
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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_billing = mysql.connector.connect(**config.myems_billing_db)
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cursor_billing = cnx_billing.cursor()
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energy_category_set = set()
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# query energy categories in base period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_space_input_category_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_categories = cursor_energy.fetchall()
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if rows_energy_categories is not None or len(rows_energy_categories) > 0:
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for row_energy_category in rows_energy_categories:
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energy_category_set.add(row_energy_category[0])
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# query energy categories in reporting period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_space_input_category_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_categories = cursor_energy.fetchall()
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if rows_energy_categories is not None or len(rows_energy_categories) > 0:
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for row_energy_category in rows_energy_categories:
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energy_category_set.add(row_energy_category[0])
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# query all energy categories in base period and reporting period
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cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e "
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" FROM tbl_energy_categories "
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" ORDER BY id ", )
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rows_energy_categories = cursor_system.fetchall()
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if rows_energy_categories is None or len(rows_energy_categories) == 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_billing:
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cursor_billing.close()
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if cnx_billing:
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cnx_billing.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_dict = dict()
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for row_energy_category in rows_energy_categories:
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if row_energy_category[0] in energy_category_set:
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energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1],
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"unit_of_measure": row_energy_category[2],
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"kgce": row_energy_category[3],
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"kgco2e": row_energy_category[4]}
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################################################################################################################
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# Step 4: 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 5: query base period energy input
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################################################################################################################
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base_input = dict()
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if energy_category_set is not None and len(energy_category_set) > 0:
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for energy_category_id in energy_category_set:
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kgce = energy_category_dict[energy_category_id]['kgce']
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kgco2e = energy_category_dict[energy_category_id]['kgco2e']
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base_input[energy_category_id] = dict()
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base_input[energy_category_id]['timestamps'] = list()
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base_input[energy_category_id]['values'] = list()
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base_input[energy_category_id]['subtotal'] = Decimal(0.0)
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base_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0)
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base_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0)
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cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_space_input_category_hourly "
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" WHERE space_id = %s "
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" AND energy_category_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_category_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 == '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_input[energy_category_id]['timestamps'].append(current_datetime)
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base_input[energy_category_id]['values'].append(actual_value)
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base_input[energy_category_id]['subtotal'] += actual_value
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base_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce
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base_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e
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################################################################################################################
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# Step 6: query base period energy cost
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################################################################################################################
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base_cost = dict()
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if energy_category_set is not None and len(energy_category_set) > 0:
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for energy_category_id in energy_category_set:
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base_cost[energy_category_id] = dict()
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base_cost[energy_category_id]['timestamps'] = list()
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base_cost[energy_category_id]['values'] = list()
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base_cost[energy_category_id]['subtotal'] = Decimal(0.0)
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cursor_billing.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_space_input_category_hourly "
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" WHERE space_id = %s "
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" AND energy_category_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_category_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_billing.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 == '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_cost[energy_category_id]['timestamps'].append(current_datetime)
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base_cost[energy_category_id]['values'].append(actual_value)
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base_cost[energy_category_id]['subtotal'] += actual_value
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################################################################################################################
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# Step 7: query reporting period energy input
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################################################################################################################
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reporting_input = dict()
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if energy_category_set is not None and len(energy_category_set) > 0:
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for energy_category_id in energy_category_set:
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kgce = energy_category_dict[energy_category_id]['kgce']
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kgco2e = energy_category_dict[energy_category_id]['kgco2e']
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reporting_input[energy_category_id] = dict()
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reporting_input[energy_category_id]['timestamps'] = list()
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reporting_input[energy_category_id]['values'] = list()
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reporting_input[energy_category_id]['subtotal'] = Decimal(0.0)
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reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0)
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reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0)
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reporting_input[energy_category_id]['toppeak'] = Decimal(0.0)
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reporting_input[energy_category_id]['onpeak'] = Decimal(0.0)
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reporting_input[energy_category_id]['midpeak'] = Decimal(0.0)
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reporting_input[energy_category_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_category_hourly "
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" WHERE space_id = %s "
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" AND energy_category_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_category_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 == '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]
|
|
reporting_input[energy_category_id]['timestamps'].append(current_datetime)
|
|
reporting_input[energy_category_id]['values'].append(actual_value)
|
|
reporting_input[energy_category_id]['subtotal'] += actual_value
|
|
reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e
|
|
|
|
energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'],
|
|
energy_category_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc)
|
|
for row in rows_space_hourly:
|
|
peak_type = energy_category_tariff_dict.get(row[0], None)
|
|
if peak_type == 'toppeak':
|
|
reporting_input[energy_category_id]['toppeak'] += row[1]
|
|
elif peak_type == 'onpeak':
|
|
reporting_input[energy_category_id]['onpeak'] += row[1]
|
|
elif peak_type == 'midpeak':
|
|
reporting_input[energy_category_id]['midpeak'] += row[1]
|
|
elif peak_type == 'offpeak':
|
|
reporting_input[energy_category_id]['offpeak'] += row[1]
|
|
|
|
################################################################################################################
|
|
# Step 8: query reporting period energy cost
|
|
################################################################################################################
|
|
reporting_cost = dict()
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
|
|
reporting_cost[energy_category_id] = dict()
|
|
reporting_cost[energy_category_id]['timestamps'] = list()
|
|
reporting_cost[energy_category_id]['values'] = list()
|
|
reporting_cost[energy_category_id]['subtotal'] = Decimal(0.0)
|
|
reporting_cost[energy_category_id]['toppeak'] = Decimal(0.0)
|
|
reporting_cost[energy_category_id]['onpeak'] = Decimal(0.0)
|
|
reporting_cost[energy_category_id]['midpeak'] = Decimal(0.0)
|
|
reporting_cost[energy_category_id]['offpeak'] = Decimal(0.0)
|
|
|
|
cursor_billing.execute(" SELECT start_datetime_utc, actual_value "
|
|
" FROM tbl_space_input_category_hourly "
|
|
" WHERE space_id = %s "
|
|
" AND energy_category_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ",
|
|
(space['id'],
|
|
energy_category_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
rows_space_hourly = cursor_billing.fetchall()
|
|
|
|
rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc,
|
|
period_type)
|
|
for row_space_periodically in rows_space_periodically:
|
|
current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \
|
|
timedelta(minutes=timezone_offset)
|
|
if period_type == 'hourly':
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
|
|
elif period_type == 'daily':
|
|
current_datetime = current_datetime_local.strftime('%Y-%m-%d')
|
|
elif period_type == 'monthly':
|
|
current_datetime = current_datetime_local.strftime('%Y-%m')
|
|
elif period_type == 'yearly':
|
|
current_datetime = current_datetime_local.strftime('%Y')
|
|
|
|
actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1]
|
|
reporting_cost[energy_category_id]['timestamps'].append(current_datetime)
|
|
reporting_cost[energy_category_id]['values'].append(actual_value)
|
|
reporting_cost[energy_category_id]['subtotal'] += actual_value
|
|
|
|
energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'],
|
|
energy_category_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc)
|
|
for row in rows_space_hourly:
|
|
peak_type = energy_category_tariff_dict.get(row[0], None)
|
|
if peak_type == 'toppeak':
|
|
reporting_cost[energy_category_id]['toppeak'] += row[1]
|
|
elif peak_type == 'onpeak':
|
|
reporting_cost[energy_category_id]['onpeak'] += row[1]
|
|
elif peak_type == 'midpeak':
|
|
reporting_cost[energy_category_id]['midpeak'] += row[1]
|
|
elif peak_type == 'offpeak':
|
|
reporting_cost[energy_category_id]['offpeak'] += row[1]
|
|
|
|
################################################################################################################
|
|
# Step 9: query child spaces energy input
|
|
################################################################################################################
|
|
child_space_input = dict()
|
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
child_space_input[energy_category_id] = dict()
|
|
child_space_input[energy_category_id]['child_space_names'] = list()
|
|
child_space_input[energy_category_id]['subtotals'] = list()
|
|
child_space_input[energy_category_id]['subtotals_in_kgce'] = list()
|
|
child_space_input[energy_category_id]['subtotals_in_kgco2e'] = list()
|
|
kgce = energy_category_dict[energy_category_id]['kgce']
|
|
kgco2e = energy_category_dict[energy_category_id]['kgco2e']
|
|
for child_space in child_space_list:
|
|
child_space_input[energy_category_id]['child_space_names'].append(child_space['name'])
|
|
|
|
cursor_energy.execute(" SELECT SUM(actual_value) "
|
|
" FROM tbl_space_input_category_hourly "
|
|
" WHERE space_id = %s "
|
|
" AND energy_category_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ",
|
|
(child_space['id'],
|
|
energy_category_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_input[energy_category_id]['subtotals'].append(subtotal)
|
|
child_space_input[energy_category_id]['subtotals_in_kgce'].append(subtotal * kgce)
|
|
child_space_input[energy_category_id]['subtotals_in_kgco2e'].append(subtotal * kgco2e)
|
|
|
|
################################################################################################################
|
|
# Step 10: query child spaces energy cost
|
|
################################################################################################################
|
|
child_space_cost = dict()
|
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
child_space_cost[energy_category_id] = dict()
|
|
child_space_cost[energy_category_id]['child_space_names'] = list()
|
|
child_space_cost[energy_category_id]['subtotals'] = list()
|
|
for child_space in child_space_list:
|
|
child_space_cost[energy_category_id]['child_space_names'].append(child_space['name'])
|
|
|
|
cursor_billing.execute(" SELECT SUM(actual_value) "
|
|
" FROM tbl_space_input_category_hourly "
|
|
" WHERE space_id = %s "
|
|
" AND energy_category_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ",
|
|
(child_space['id'],
|
|
energy_category_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
row_subtotal = cursor_billing.fetchone()
|
|
|
|
subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0]
|
|
child_space_cost[energy_category_id]['subtotals'].append(subtotal)
|
|
|
|
################################################################################################################
|
|
# Step 11: 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_billing:
|
|
cursor_billing.close()
|
|
if cnx_billing:
|
|
cnx_billing.disconnect()
|
|
|
|
result = dict()
|
|
|
|
result['space'] = dict()
|
|
result['space']['name'] = space['name']
|
|
result['space']['area'] = space['area']
|
|
|
|
result['base_period_input'] = dict()
|
|
result['base_period_input']['names'] = list()
|
|
result['base_period_input']['units'] = list()
|
|
result['base_period_input']['timestamps'] = list()
|
|
result['base_period_input']['values'] = list()
|
|
result['base_period_input']['subtotals'] = list()
|
|
result['base_period_input']['subtotals_in_kgce'] = list()
|
|
result['base_period_input']['subtotals_in_kgco2e'] = list()
|
|
result['base_period_input']['total_in_kgce'] = Decimal(0.0)
|
|
result['base_period_input']['total_in_kgco2e'] = Decimal(0.0)
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
result['base_period_input']['names'].append(
|
|
energy_category_dict[energy_category_id]['name'])
|
|
result['base_period_input']['units'].append(
|
|
energy_category_dict[energy_category_id]['unit_of_measure'])
|
|
result['base_period_input']['timestamps'].append(
|
|
base_input[energy_category_id]['timestamps'])
|
|
result['base_period_input']['values'].append(
|
|
base_input[energy_category_id]['values'])
|
|
result['base_period_input']['subtotals'].append(
|
|
base_input[energy_category_id]['subtotal'])
|
|
result['base_period_input']['subtotals_in_kgce'].append(
|
|
base_input[energy_category_id]['subtotal_in_kgce'])
|
|
result['base_period_input']['subtotals_in_kgco2e'].append(
|
|
base_input[energy_category_id]['subtotal_in_kgco2e'])
|
|
result['base_period_input']['total_in_kgce'] += \
|
|
base_input[energy_category_id]['subtotal_in_kgce']
|
|
result['base_period_input']['total_in_kgco2e'] += \
|
|
base_input[energy_category_id]['subtotal_in_kgco2e']
|
|
|
|
result['base_period_cost'] = dict()
|
|
result['base_period_cost']['names'] = list()
|
|
result['base_period_cost']['units'] = list()
|
|
result['base_period_cost']['timestamps'] = list()
|
|
result['base_period_cost']['values'] = list()
|
|
result['base_period_cost']['subtotals'] = list()
|
|
result['base_period_cost']['total'] = Decimal(0.0)
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
result['base_period_cost']['names'].append(
|
|
energy_category_dict[energy_category_id]['name'])
|
|
result['base_period_cost']['units'].append(
|
|
energy_category_dict[energy_category_id]['unit_of_measure'])
|
|
result['base_period_cost']['timestamps'].append(
|
|
base_cost[energy_category_id]['timestamps'])
|
|
result['base_period_cost']['values'].append(
|
|
base_cost[energy_category_id]['values'])
|
|
result['base_period_cost']['subtotals'].append(
|
|
base_cost[energy_category_id]['subtotal'])
|
|
result['base_period_cost']['total'] += base_cost[energy_category_id]['subtotal']
|
|
|
|
result['reporting_period_input'] = dict()
|
|
result['reporting_period_input']['names'] = list()
|
|
result['reporting_period_input']['energy_category_ids'] = list()
|
|
result['reporting_period_input']['units'] = list()
|
|
result['reporting_period_input']['timestamps'] = list()
|
|
result['reporting_period_input']['values'] = list()
|
|
result['reporting_period_input']['subtotals'] = list()
|
|
result['reporting_period_input']['subtotals_in_kgce'] = list()
|
|
result['reporting_period_input']['subtotals_in_kgco2e'] = list()
|
|
result['reporting_period_input']['subtotals_per_unit_area'] = list()
|
|
result['reporting_period_input']['toppeaks'] = list()
|
|
result['reporting_period_input']['onpeaks'] = list()
|
|
result['reporting_period_input']['midpeaks'] = list()
|
|
result['reporting_period_input']['offpeaks'] = list()
|
|
result['reporting_period_input']['increment_rates'] = list()
|
|
result['reporting_period_input']['total_in_kgce'] = Decimal(0.0)
|
|
result['reporting_period_input']['total_in_kgco2e'] = Decimal(0.0)
|
|
result['reporting_period_input']['increment_rate_in_kgce'] = Decimal(0.0)
|
|
result['reporting_period_input']['increment_rate_in_kgco2e'] = Decimal(0.0)
|
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
result['reporting_period_input']['names'].append(energy_category_dict[energy_category_id]['name'])
|
|
result['reporting_period_input']['energy_category_ids'].append(energy_category_id)
|
|
result['reporting_period_input']['units'].append(
|
|
energy_category_dict[energy_category_id]['unit_of_measure'])
|
|
result['reporting_period_input']['timestamps'].append(
|
|
reporting_input[energy_category_id]['timestamps'])
|
|
result['reporting_period_input']['values'].append(
|
|
reporting_input[energy_category_id]['values'])
|
|
result['reporting_period_input']['subtotals'].append(
|
|
reporting_input[energy_category_id]['subtotal'])
|
|
result['reporting_period_input']['subtotals_in_kgce'].append(
|
|
reporting_input[energy_category_id]['subtotal_in_kgce'])
|
|
result['reporting_period_input']['subtotals_in_kgco2e'].append(
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e'])
|
|
result['reporting_period_input']['subtotals_per_unit_area'].append(
|
|
reporting_input[energy_category_id]['subtotal'] / space['area']
|
|
if space['area'] > 0.0 else None)
|
|
result['reporting_period_input']['toppeaks'].append(
|
|
reporting_input[energy_category_id]['toppeak'])
|
|
result['reporting_period_input']['onpeaks'].append(
|
|
reporting_input[energy_category_id]['onpeak'])
|
|
result['reporting_period_input']['midpeaks'].append(
|
|
reporting_input[energy_category_id]['midpeak'])
|
|
result['reporting_period_input']['offpeaks'].append(
|
|
reporting_input[energy_category_id]['offpeak'])
|
|
result['reporting_period_input']['increment_rates'].append(
|
|
(reporting_input[energy_category_id]['subtotal'] -
|
|
base_input[energy_category_id]['subtotal']) /
|
|
base_input[energy_category_id]['subtotal']
|
|
if base_input[energy_category_id]['subtotal'] > 0.0 else None)
|
|
result['reporting_period_input']['total_in_kgce'] += \
|
|
reporting_input[energy_category_id]['subtotal_in_kgce']
|
|
result['reporting_period_input']['total_in_kgco2e'] += \
|
|
reporting_input[energy_category_id]['subtotal_in_kgco2e']
|
|
|
|
result['reporting_period_input']['total_in_kgco2e_per_unit_area'] = \
|
|
result['reporting_period_input']['total_in_kgce'] / space['area'] if space['area'] > 0.0 else None
|
|
|
|
result['reporting_period_input']['increment_rate_in_kgce'] = \
|
|
(result['reporting_period_input']['total_in_kgce'] - result['base_period_input']['total_in_kgce']) / \
|
|
result['base_period_input']['total_in_kgce'] \
|
|
if result['base_period_input']['total_in_kgce'] > Decimal(0.0) else None
|
|
|
|
result['reporting_period_input']['total_in_kgce_per_unit_area'] = \
|
|
result['reporting_period_input']['total_in_kgco2e'] / space['area'] if space['area'] > 0.0 else None
|
|
|
|
result['reporting_period_input']['increment_rate_in_kgco2e'] = \
|
|
(result['reporting_period_input']['total_in_kgco2e'] - result['base_period_input']['total_in_kgco2e']) / \
|
|
result['base_period_input']['total_in_kgco2e'] \
|
|
if result['base_period_input']['total_in_kgco2e'] > Decimal(0.0) else None
|
|
|
|
result['reporting_period_cost'] = dict()
|
|
result['reporting_period_cost']['names'] = list()
|
|
result['reporting_period_cost']['energy_category_ids'] = list()
|
|
result['reporting_period_cost']['units'] = list()
|
|
result['reporting_period_cost']['timestamps'] = list()
|
|
result['reporting_period_cost']['values'] = list()
|
|
result['reporting_period_cost']['subtotals'] = list()
|
|
result['reporting_period_cost']['subtotals_per_unit_area'] = list()
|
|
result['reporting_period_cost']['toppeaks'] = list()
|
|
result['reporting_period_cost']['onpeaks'] = list()
|
|
result['reporting_period_cost']['midpeaks'] = list()
|
|
result['reporting_period_cost']['offpeaks'] = list()
|
|
result['reporting_period_cost']['increment_rates'] = list()
|
|
result['reporting_period_cost']['total'] = Decimal(0.0)
|
|
result['reporting_period_cost']['total_per_unit_area'] = Decimal(0.0)
|
|
result['reporting_period_cost']['total_increment_rate'] = Decimal(0.0)
|
|
result['reporting_period_cost']['total_unit'] = config.currency_unit
|
|
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
result['reporting_period_cost']['names'].append(energy_category_dict[energy_category_id]['name'])
|
|
result['reporting_period_cost']['energy_category_ids'].append(energy_category_id)
|
|
result['reporting_period_cost']['units'].append(config.currency_unit)
|
|
result['reporting_period_cost']['timestamps'].append(
|
|
reporting_cost[energy_category_id]['timestamps'])
|
|
result['reporting_period_cost']['values'].append(
|
|
reporting_cost[energy_category_id]['values'])
|
|
result['reporting_period_cost']['subtotals'].append(
|
|
reporting_cost[energy_category_id]['subtotal'])
|
|
result['reporting_period_cost']['subtotals_per_unit_area'].append(
|
|
reporting_cost[energy_category_id]['subtotal'] / space['area']
|
|
if space['area'] > 0.0 else None)
|
|
result['reporting_period_cost']['toppeaks'].append(
|
|
reporting_cost[energy_category_id]['toppeak'])
|
|
result['reporting_period_cost']['onpeaks'].append(
|
|
reporting_cost[energy_category_id]['onpeak'])
|
|
result['reporting_period_cost']['midpeaks'].append(
|
|
reporting_cost[energy_category_id]['midpeak'])
|
|
result['reporting_period_cost']['offpeaks'].append(
|
|
reporting_cost[energy_category_id]['offpeak'])
|
|
result['reporting_period_cost']['increment_rates'].append(
|
|
(reporting_cost[energy_category_id]['subtotal'] -
|
|
base_cost[energy_category_id]['subtotal']) /
|
|
base_cost[energy_category_id]['subtotal']
|
|
if base_cost[energy_category_id]['subtotal'] > 0.0 else None)
|
|
result['reporting_period_cost']['total'] += reporting_cost[energy_category_id]['subtotal']
|
|
result['reporting_period_cost']['total_per_unit_area'] = \
|
|
result['reporting_period_cost']['total'] / space['area'] if space['area'] > 0.0 else None
|
|
|
|
result['reporting_period_cost']['total_increment_rate'] = \
|
|
(result['reporting_period_cost']['total'] - result['base_period_cost']['total']) / \
|
|
result['reporting_period_cost']['total'] \
|
|
if result['reporting_period_cost']['total'] > Decimal(0.0) else None
|
|
|
|
result['child_space_input'] = dict()
|
|
result['child_space_input']['energy_category_names'] = list() # 1D array [energy category]
|
|
result['child_space_input']['units'] = list() # 1D array [energy category]
|
|
result['child_space_input']['child_space_names_array'] = list() # 2D array [energy category][child space]
|
|
result['child_space_input']['subtotals_array'] = list() # 2D array [energy category][child space]
|
|
result['child_space_input']['subtotals_in_kgce_array'] = list() # 2D array [energy category][child space]
|
|
result['child_space_input']['subtotals_in_kgco2e_array'] = list() # 2D array [energy category][child space]
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
result['child_space_input']['energy_category_names'].append(
|
|
energy_category_dict[energy_category_id]['name'])
|
|
result['child_space_input']['units'].append(
|
|
energy_category_dict[energy_category_id]['unit_of_measure'])
|
|
result['child_space_input']['child_space_names_array'].append(
|
|
child_space_input[energy_category_id]['child_space_names'])
|
|
result['child_space_input']['subtotals_array'].append(
|
|
child_space_input[energy_category_id]['subtotals'])
|
|
result['child_space_input']['subtotals_in_kgce_array'].append(
|
|
child_space_input[energy_category_id]['subtotals_in_kgce'])
|
|
result['child_space_input']['subtotals_in_kgco2e_array'].append(
|
|
child_space_input[energy_category_id]['subtotals_in_kgco2e'])
|
|
|
|
result['child_space_cost'] = dict()
|
|
result['child_space_cost']['energy_category_names'] = list() # 1D array [energy category]
|
|
result['child_space_cost']['units'] = list() # 1D array [energy category]
|
|
result['child_space_cost']['child_space_names_array'] = list() # 2D array [energy category][child space]
|
|
result['child_space_cost']['subtotals_array'] = list() # 2D array [energy category][child space]
|
|
if energy_category_set is not None and len(energy_category_set) > 0:
|
|
for energy_category_id in energy_category_set:
|
|
result['child_space_cost']['energy_category_names'].append(
|
|
energy_category_dict[energy_category_id]['name'])
|
|
result['child_space_cost']['units'].append(config.currency_unit)
|
|
result['child_space_cost']['child_space_names_array'].append(
|
|
child_space_cost[energy_category_id]['child_space_names'])
|
|
result['child_space_cost']['subtotals_array'].append(
|
|
child_space_cost[energy_category_id]['subtotals'])
|
|
|
|
resp.body = json.dumps(result)
|