734 lines
44 KiB
Python
734 lines
44 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 combined equipment
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# Step 3: query associated equipments
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# Step 4: query energy categories
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# Step 5: query associated points
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# Step 6: query base period energy input
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# Step 7: query base period energy output
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# Step 8: query reporting period energy input
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# Step 9: query reporting period energy output
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# Step 10: query tariff data
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# Step 11: query associated points data
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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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combined_equipment_id = req.params.get('combinedequipmentid')
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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 combined_equipment_id 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_COMBINED_EQUIPMENT_ID')
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else:
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combined_equipment_id = str.strip(combined_equipment_id)
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if not combined_equipment_id.isdigit() or int(combined_equipment_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_COMBINED_EQUIPMENT_ID')
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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 combined equipment
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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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cursor_system.execute(" SELECT id, name, cost_center_id "
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" FROM tbl_combined_equipments "
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" WHERE id = %s ", (combined_equipment_id,))
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row_combined_equipment = cursor_system.fetchone()
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if row_combined_equipment 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 cnx_historical:
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cnx_historical.close()
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if cursor_historical:
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cursor_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.COMBINED_EQUIPMENT_NOT_FOUND')
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combined_equipment = dict()
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combined_equipment['id'] = row_combined_equipment[0]
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combined_equipment['name'] = row_combined_equipment[1]
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combined_equipment['cost_center_id'] = row_combined_equipment[2]
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################################################################################################################
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# Step 3: query associated equipments
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################################################################################################################
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# todo
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################################################################################################################
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# Step 4: query input energy categories and output energy categories
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################################################################################################################
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energy_category_set_input = set()
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energy_category_set_output = set()
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# query input energy categories in base period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_combined_equipment_input_category_hourly "
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" WHERE combined_equipment_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(combined_equipment['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_input.add(row_energy_category[0])
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# query input energy categories in reporting period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_combined_equipment_input_category_hourly "
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" WHERE combined_equipment_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(combined_equipment['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_input.add(row_energy_category[0])
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# query output energy categories in base period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_combined_equipment_output_category_hourly "
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" WHERE combined_equipment_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(combined_equipment['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_output.add(row_energy_category[0])
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# query output energy categories in reporting period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_combined_equipment_output_category_hourly "
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" WHERE combined_equipment_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(combined_equipment['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_output.add(row_energy_category[0])
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# query properties of all energy categories above
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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 cnx_historical:
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cnx_historical.close()
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if cursor_historical:
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cursor_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_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_input or \
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row_energy_category[0] in energy_category_set_output:
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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 5: query associated points
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################################################################################################################
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point_list = list()
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cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type "
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" FROM tbl_combined_equipments e, tbl_combined_equipments_parameters ep, tbl_points p "
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" WHERE e.id = %s AND e.id = ep.combined_equipment_id AND ep.parameter_type = 'point' "
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" AND ep.point_id = p.id "
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" ORDER BY p.id ", (combined_equipment['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 base period energy input
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################################################################################################################
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base_input = dict()
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if energy_category_set_input is not None and len(energy_category_set_input) > 0:
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for energy_category_id in energy_category_set_input:
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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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cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_combined_equipment_input_category_hourly "
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" WHERE combined_equipment_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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(combined_equipment['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_combined_equipment_hourly = cursor_energy.fetchall()
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rows_combined_equipment_periodically = \
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utilities.aggregate_hourly_data_by_period(rows_combined_equipment_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_combined_equipment_periodically in rows_combined_equipment_periodically:
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current_datetime_local = row_combined_equipment_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_combined_equipment_periodically[1] is None \
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else row_combined_equipment_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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################################################################################################################
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# Step 7: query base period energy output
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################################################################################################################
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base_output = dict()
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if energy_category_set_output is not None and len(energy_category_set_output) > 0:
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for energy_category_id in energy_category_set_output:
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base_output[energy_category_id] = dict()
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base_output[energy_category_id]['timestamps'] = list()
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base_output[energy_category_id]['values'] = list()
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base_output[energy_category_id]['subtotal'] = Decimal(0.0)
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cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_combined_equipment_output_category_hourly "
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" WHERE combined_equipment_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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(combined_equipment['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_combined_equipment_hourly = cursor_energy.fetchall()
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rows_combined_equipment_periodically = \
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utilities.aggregate_hourly_data_by_period(rows_combined_equipment_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_combined_equipment_periodically in rows_combined_equipment_periodically:
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current_datetime_local = row_combined_equipment_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_combined_equipment_periodically[1] is None \
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else row_combined_equipment_periodically[1]
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base_output[energy_category_id]['timestamps'].append(current_datetime)
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base_output[energy_category_id]['values'].append(actual_value)
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base_output[energy_category_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_input = dict()
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if energy_category_set_input is not None and len(energy_category_set_input) > 0:
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for energy_category_id in energy_category_set_input:
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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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cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
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" FROM tbl_combined_equipment_input_category_hourly "
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" WHERE combined_equipment_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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(combined_equipment['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_combined_equipment_hourly = cursor_energy.fetchall()
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|
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rows_combined_equipment_periodically = \
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utilities.aggregate_hourly_data_by_period(rows_combined_equipment_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_combined_equipment_periodically in rows_combined_equipment_periodically:
|
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current_datetime_local = row_combined_equipment_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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|
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actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \
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else row_combined_equipment_periodically[1]
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reporting_input[energy_category_id]['timestamps'].append(current_datetime)
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reporting_input[energy_category_id]['values'].append(actual_value)
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reporting_input[energy_category_id]['subtotal'] += actual_value
|
|
|
|
################################################################################################################
|
|
# Step 9: query reporting period energy output
|
|
################################################################################################################
|
|
reporting_output = dict()
|
|
if energy_category_set_output is not None and len(energy_category_set_output) > 0:
|
|
for energy_category_id in energy_category_set_output:
|
|
|
|
reporting_output[energy_category_id] = dict()
|
|
reporting_output[energy_category_id]['timestamps'] = list()
|
|
reporting_output[energy_category_id]['values'] = list()
|
|
reporting_output[energy_category_id]['subtotal'] = Decimal(0.0)
|
|
|
|
cursor_energy.execute(" SELECT start_datetime_utc, actual_value "
|
|
" FROM tbl_combined_equipment_output_category_hourly "
|
|
" WHERE combined_equipment_id = %s "
|
|
" AND energy_category_id = %s "
|
|
" AND start_datetime_utc >= %s "
|
|
" AND start_datetime_utc < %s "
|
|
" ORDER BY start_datetime_utc ",
|
|
(combined_equipment['id'],
|
|
energy_category_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc))
|
|
rows_combined_equipment_hourly = cursor_energy.fetchall()
|
|
|
|
rows_combined_equipment_periodically = \
|
|
utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc,
|
|
period_type)
|
|
for row_combined_equipment_periodically in rows_combined_equipment_periodically:
|
|
current_datetime_local = row_combined_equipment_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_combined_equipment_periodically[1] is None \
|
|
else row_combined_equipment_periodically[1]
|
|
reporting_output[energy_category_id]['timestamps'].append(current_datetime)
|
|
reporting_output[energy_category_id]['values'].append(actual_value)
|
|
reporting_output[energy_category_id]['subtotal'] += actual_value
|
|
|
|
################################################################################################################
|
|
# Step 10: query tariff data
|
|
################################################################################################################
|
|
parameters_data = dict()
|
|
parameters_data['names'] = list()
|
|
parameters_data['timestamps'] = list()
|
|
parameters_data['values'] = list()
|
|
if energy_category_set_input is not None and len(energy_category_set_input) > 0:
|
|
for energy_category_id in energy_category_set_input:
|
|
energy_category_tariff_dict = utilities.get_energy_category_tariffs(
|
|
combined_equipment['cost_center_id'],
|
|
energy_category_id,
|
|
reporting_start_datetime_utc,
|
|
reporting_end_datetime_utc)
|
|
|
|
tariff_timestamp_list = list()
|
|
tariff_value_list = list()
|
|
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_category_dict[energy_category_id]['name'])
|
|
parameters_data['timestamps'].append(tariff_timestamp_list)
|
|
parameters_data['values'].append(tariff_value_list)
|
|
|
|
################################################################################################################
|
|
# Step 11: query associated 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 ")
|
|
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 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 cnx_historical:
|
|
cnx_historical.close()
|
|
if cursor_historical:
|
|
cursor_historical.disconnect()
|
|
|
|
result = dict()
|
|
|
|
result['combined_equipment'] = dict()
|
|
result['combined_equipment']['name'] = combined_equipment['name']
|
|
|
|
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()
|
|
if energy_category_set_input is not None and len(energy_category_set_input) > 0:
|
|
for energy_category_id in energy_category_set_input:
|
|
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_output'] = dict()
|
|
result['base_period_output']['names'] = list()
|
|
result['base_period_output']['units'] = list()
|
|
result['base_period_output']['timestamps'] = list()
|
|
result['base_period_output']['values'] = list()
|
|
result['base_period_output']['subtotals'] = list()
|
|
|
|
if energy_category_set_output is not None and len(energy_category_set_output) > 0:
|
|
for energy_category_id in energy_category_set_output:
|
|
result['base_period_output']['names'].append(energy_category_dict[energy_category_id]['name'])
|
|
result['base_period_output']['units'].append(
|
|
energy_category_dict[energy_category_id]['unit_of_measure'])
|
|
result['base_period_output']['timestamps'].append(base_output[energy_category_id]['timestamps'])
|
|
result['base_period_output']['values'].append(base_output[energy_category_id]['values'])
|
|
result['base_period_output']['subtotals'].append(base_output[energy_category_id]['subtotal'])
|
|
|
|
result['base_period_efficiency'] = dict()
|
|
result['base_period_efficiency']['names'] = list()
|
|
result['base_period_efficiency']['units'] = list()
|
|
result['base_period_efficiency']['timestamps'] = list()
|
|
result['base_period_efficiency']['values'] = list()
|
|
result['base_period_efficiency']['cumulations'] = list()
|
|
|
|
if energy_category_set_output is not None and len(energy_category_set_output) > 0:
|
|
for energy_category_id_output in energy_category_set_output:
|
|
for energy_category_id_input in energy_category_set_input:
|
|
result['base_period_efficiency']['names'].append(
|
|
energy_category_dict[energy_category_id_output]['name'] + '/' +
|
|
energy_category_dict[energy_category_id_input]['name'])
|
|
result['base_period_efficiency']['units'].append(
|
|
energy_category_dict[energy_category_id_output]['unit_of_measure'] + '/' +
|
|
energy_category_dict[energy_category_id_input]['unit_of_measure'])
|
|
result['base_period_efficiency']['timestamps'].append(
|
|
base_output[energy_category_id_output]['timestamps'])
|
|
efficiency_values = list()
|
|
for i in range(len(base_output[energy_category_id_output]['timestamps'])):
|
|
efficiency_values.append((base_output[energy_category_id_output]['values'][i] /
|
|
base_input[energy_category_id_input]['values'][i])
|
|
if base_input[energy_category_id_input]['values'][i] > Decimal(0.0)
|
|
else None)
|
|
result['base_period_efficiency']['values'].append(efficiency_values)
|
|
|
|
base_cumulation = (base_output[energy_category_id_output]['subtotal'] /
|
|
base_input[energy_category_id_input]['subtotal']) if \
|
|
base_input[energy_category_id_input]['subtotal'] > Decimal(0.0) else None
|
|
result['base_period_efficiency']['cumulations'].append(base_cumulation)
|
|
|
|
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']['increment_rates'] = list()
|
|
|
|
if energy_category_set_input is not None and len(energy_category_set_input) > 0:
|
|
for energy_category_id in energy_category_set_input:
|
|
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']['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_output'] = dict()
|
|
result['reporting_period_output']['names'] = list()
|
|
result['reporting_period_output']['energy_category_ids'] = list()
|
|
result['reporting_period_output']['units'] = list()
|
|
result['reporting_period_output']['timestamps'] = list()
|
|
result['reporting_period_output']['values'] = list()
|
|
result['reporting_period_output']['subtotals'] = list()
|
|
result['reporting_period_output']['increment_rates'] = list()
|
|
|
|
if energy_category_set_output is not None and len(energy_category_set_output) > 0:
|
|
for energy_category_id in energy_category_set_output:
|
|
result['reporting_period_output']['names'].append(energy_category_dict[energy_category_id]['name'])
|
|
result['reporting_period_output']['energy_category_ids'].append(energy_category_id)
|
|
result['reporting_period_output']['units'].append(
|
|
energy_category_dict[energy_category_id]['unit_of_measure'])
|
|
result['reporting_period_output']['timestamps'].append(
|
|
reporting_output[energy_category_id]['timestamps'])
|
|
result['reporting_period_output']['values'].append(reporting_output[energy_category_id]['values'])
|
|
result['reporting_period_output']['subtotals'].append(reporting_output[energy_category_id]['subtotal'])
|
|
result['reporting_period_output']['increment_rates'].append(
|
|
(reporting_output[energy_category_id]['subtotal'] -
|
|
base_output[energy_category_id]['subtotal']) /
|
|
base_output[energy_category_id]['subtotal']
|
|
if base_output[energy_category_id]['subtotal'] > 0.0 else None)
|
|
|
|
result['reporting_period_efficiency'] = dict()
|
|
result['reporting_period_efficiency']['names'] = list()
|
|
result['reporting_period_efficiency']['units'] = list()
|
|
result['reporting_period_efficiency']['timestamps'] = list()
|
|
result['reporting_period_efficiency']['values'] = list()
|
|
result['reporting_period_efficiency']['cumulations'] = list()
|
|
result['reporting_period_efficiency']['increment_rates'] = list()
|
|
|
|
if energy_category_set_output is not None and len(energy_category_set_output) > 0:
|
|
for energy_category_id_output in energy_category_set_output:
|
|
for energy_category_id_input in energy_category_set_input:
|
|
result['reporting_period_efficiency']['names'].append(
|
|
energy_category_dict[energy_category_id_output]['name'] + '/' +
|
|
energy_category_dict[energy_category_id_input]['name'])
|
|
result['reporting_period_efficiency']['units'].append(
|
|
energy_category_dict[energy_category_id_output]['unit_of_measure'] + '/' +
|
|
energy_category_dict[energy_category_id_input]['unit_of_measure'])
|
|
result['reporting_period_efficiency']['timestamps'].append(
|
|
reporting_output[energy_category_id_output]['timestamps'])
|
|
efficiency_values = list()
|
|
for i in range(len(reporting_output[energy_category_id_output]['timestamps'])):
|
|
efficiency_values.append((reporting_output[energy_category_id_output]['values'][i] /
|
|
reporting_input[energy_category_id_input]['values'][i])
|
|
if reporting_input[energy_category_id_input]['values'][i] >
|
|
Decimal(0.0) else None)
|
|
result['reporting_period_efficiency']['values'].append(efficiency_values)
|
|
|
|
base_cumulation = (base_output[energy_category_id_output]['subtotal'] /
|
|
base_input[energy_category_id_input]['subtotal']) if \
|
|
base_input[energy_category_id_input]['subtotal'] > Decimal(0.0) else None
|
|
|
|
reporting_cumulation = (reporting_output[energy_category_id_output]['subtotal'] /
|
|
reporting_input[energy_category_id_input]['subtotal']) if \
|
|
reporting_input[energy_category_id_input]['subtotal'] > Decimal(0.0) else None
|
|
|
|
result['reporting_period_efficiency']['cumulations'].append(reporting_cumulation)
|
|
result['reporting_period_efficiency']['increment_rates'].append(
|
|
((reporting_cumulation - base_cumulation) / base_cumulation if (base_cumulation > Decimal(0.0))
|
|
else None)
|
|
)
|
|
|
|
result['parameters'] = {
|
|
"names": parameters_data['names'],
|
|
"timestamps": parameters_data['timestamps'],
|
|
"values": parameters_data['values']
|
|
}
|
|
|
|
resp.body = json.dumps(result)
|