reports.offlinemeterenergy.Reporting.on_options() - Code Metrics - Inspection of "Merge branch 'develop'" - MyEMS/myems - Measure and Improve Code Quality continuously with Scrutinizer

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Push — master ( 0e16a1...5afe6f )

by Guangyu

created 2022-10-24 07:43 UTC

reports.offlinemeterenergy.Reporting.on_options() A

↳ Parent: reports.offlinemeterenergy

Complexity

Conditions

Size

Total Lines	3
Code Lines	3

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
eloc	3
dl	0
loc	3
rs	10
c	0
b	0
f	0
cc	1
nop	2

from datetime import datetime, timedelta, timezone
from decimal import Decimal

import gettext
import falcon
import mysql.connector
import simplejson as json

import config
import excelexporters.offlinemeterenergy
from core import utilities


class Reporting:
    @staticmethod
    def __init__():
        """Initializes Class"""
        pass

    @staticmethod
    def on_options(req, resp):
        resp.status = falcon.HTTP_200

    ####################################################################################################################
    # PROCEDURES
    # Step 1: valid parameters
    # Step 2: query the offline meter and energy category
    # Step 3: query base period energy consumption
    # Step 4: query reporting period energy consumption
    # Step 5: query tariff data
    # Step 6: construct the report
    ####################################################################################################################
    @staticmethod
    def on_get(req, resp):
        print(req.params)
        offline_meter_id = req.params.get('offlinemeterid')
        period_type = req.params.get('periodtype')
        base_period_start_datetime_local = req.params.get('baseperiodstartdatetime')
        base_period_end_datetime_local = req.params.get('baseperiodenddatetime')
        reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
        reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')
        language = req.params.get('language')

        ################################################################################################################
        # Step 1: valid parameters
        ################################################################################################################
        if offline_meter_id is None:
            raise falcon.HTTPError(falcon.HTTP_400,
                                   title='API.BAD_REQUEST',
                                   description='API.INVALID_OFFLINE_METER_ID')
        else:
            offline_meter_id = str.strip(offline_meter_id)
            if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0:
                raise falcon.HTTPError(falcon.HTTP_400,
                                       title='API.BAD_REQUEST',
                                       description='API.INVALID_OFFLINE_METER_ID')

        if period_type is None:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
        else:
            period_type = str.strip(period_type)
            if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']:
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')

        timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
        if config.utc_offset[0] == '-':
            timezone_offset = -timezone_offset

        base_start_datetime_utc = None
        if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0:
            base_period_start_datetime_local = str.strip(base_period_start_datetime_local)
            try:
                base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S')
            except ValueError:
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                       description="API.INVALID_BASE_PERIOD_START_DATETIME")
            base_start_datetime_utc = \
                base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset)
            # nomalize the start datetime
            if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30:
                base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0)
            else:
                base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0)

        base_end_datetime_utc = None
        if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0:
            base_period_end_datetime_local = str.strip(base_period_end_datetime_local)
            try:
                base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S')
            except ValueError:
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                       description="API.INVALID_BASE_PERIOD_END_DATETIME")
            base_end_datetime_utc = \
                base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset)

        if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
                base_start_datetime_utc >= base_end_datetime_utc:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description='API.INVALID_BASE_PERIOD_END_DATETIME')

        if reporting_period_start_datetime is None:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
        else:
            reporting_period_start_datetime = str.strip(reporting_period_start_datetime)
            try:
                reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
            except ValueError:
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                       description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
            reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
                timedelta(minutes=timezone_offset)

        if reporting_period_end_datetime is None:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
        else:
            reporting_period_end_datetime = str.strip(reporting_period_end_datetime)
            try:
                reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
            except ValueError:
                raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                       description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
            reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
                timedelta(minutes=timezone_offset)

        if reporting_start_datetime_utc >= reporting_end_datetime_utc:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description='API.INVALID_REPORTING_PERIOD_END_DATETIME')

        locale_path = './i18n/'
        if language == 'zh_CN':
            trans = gettext.translation('myems', locale_path, languages=['zh_CN'])
        elif language == 'de':
            trans = gettext.translation('myems', locale_path, languages=['de'])
        elif language == 'en':
            trans = gettext.translation('myems', locale_path, languages=['en'])
        else:
            trans = gettext.translation('myems', locale_path, languages=['en'])
        trans.install()
        _ = trans.gettext

        ################################################################################################################
        # Step 2: query the offline meter and energy category
        ################################################################################################################
        cnx_system = mysql.connector.connect(**config.myems_system_db)
        cursor_system = cnx_system.cursor()

        cnx_energy = mysql.connector.connect(**config.myems_energy_db)
        cursor_energy = cnx_energy.cursor()

        cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
                              "        ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
                              " FROM tbl_offline_meters m, tbl_energy_categories ec "
                              " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,))
        row_offline_meter = cursor_system.fetchone()
        if row_offline_meter is None:
            if cursor_system:
                cursor_system.close()
            if cnx_system:
                cnx_system.close()

            if cursor_energy:
                cursor_energy.close()
            if cnx_energy:
                cnx_energy.close()
            raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND')

        offline_meter = dict()
        offline_meter['id'] = row_offline_meter[0]
        offline_meter['name'] = row_offline_meter[1]
        offline_meter['cost_center_id'] = row_offline_meter[2]
        offline_meter['energy_category_id'] = row_offline_meter[3]
        offline_meter['energy_category_name'] = row_offline_meter[4]
        offline_meter['unit_of_measure'] = row_offline_meter[5]
        offline_meter['kgce'] = row_offline_meter[6]
        offline_meter['kgco2e'] = row_offline_meter[7]

        ################################################################################################################
        # Step 3: query base period energy consumption
        ################################################################################################################
        query = (" SELECT start_datetime_utc, actual_value "
                 " FROM tbl_offline_meter_hourly "
                 " WHERE offline_meter_id = %s "
                 " AND start_datetime_utc >= %s "
                 " AND start_datetime_utc < %s "
                 " ORDER BY start_datetime_utc ")
        cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
        rows_offline_meter_hourly = cursor_energy.fetchall()

        rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
                                                                                    base_start_datetime_utc,
                                                                                    base_end_datetime_utc,
                                                                                    period_type)
        base = dict()
        base['timestamps'] = list()
        base['values'] = list()
        base['total_in_category'] = Decimal(0.0)
        base['total_in_kgce'] = Decimal(0.0)
        base['total_in_kgco2e'] = Decimal(0.0)

        for row_offline_meter_periodically in rows_offline_meter_periodically:
            current_datetime_local = row_offline_meter_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 == 'weekly':
                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_offline_meter_periodically[1] is None \
                else row_offline_meter_periodically[1]
            base['timestamps'].append(current_datetime)

            base['values'].append(actual_value)
            base['total_in_category'] += actual_value
            base['total_in_kgce'] += actual_value * offline_meter['kgce']
            base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
        ################################################################################################################
        # Step 4: query reporting period energy consumption
        ################################################################################################################

        query = (" SELECT start_datetime_utc, actual_value "
                 " FROM tbl_offline_meter_hourly "
                 " WHERE offline_meter_id = %s "
                 " AND start_datetime_utc >= %s "
                 " AND start_datetime_utc < %s "
                 " ORDER BY start_datetime_utc ")
        cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
        rows_offline_meter_hourly = cursor_energy.fetchall()

        rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
                                                                                    reporting_start_datetime_utc,
                                                                                    reporting_end_datetime_utc,
                                                                                    period_type)
        reporting = dict()
        reporting['timestamps'] = list()
        reporting['values'] = list()
        reporting['total_in_category'] = Decimal(0.0)
        reporting['total_in_kgce'] = Decimal(0.0)
        reporting['total_in_kgco2e'] = Decimal(0.0)

        for row_offline_meter_periodically in rows_offline_meter_periodically:
            current_datetime_local = row_offline_meter_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 == 'weekly':
                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_offline_meter_periodically[1] is None \
                else row_offline_meter_periodically[1]

            reporting['timestamps'].append(current_datetime)
            reporting['values'].append(actual_value)
            reporting['total_in_category'] += actual_value
            reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
            reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']

        ################################################################################################################
        # Step 5: query tariff data
        ################################################################################################################
        parameters_data = dict()
        parameters_data['names'] = list()
        parameters_data['timestamps'] = list()
        parameters_data['values'] = list()
        if config.is_tariff_appended:
            tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'],
                                                                offline_meter['energy_category_id'],
                                                                reporting_start_datetime_utc,
                                                                reporting_end_datetime_utc)
            tariff_timestamp_list = list()
            tariff_value_list = list()
            for k, v in tariff_dict.items():
                # convert k from utc to local
                k = k + timedelta(minutes=timezone_offset)
                tariff_timestamp_list.append(k.isoformat()[0:19])
                tariff_value_list.append(v)

            parameters_data['names'].append(_('Tariff') + '-' + offline_meter['energy_category_name'])
            parameters_data['timestamps'].append(tariff_timestamp_list)
            parameters_data['values'].append(tariff_value_list)

        ################################################################################################################
        # Step 6: construct the report
        ################################################################################################################
        if cursor_system:
            cursor_system.close()
        if cnx_system:
            cnx_system.close()

        if cursor_energy:
            cursor_energy.close()
        if cnx_energy:
            cnx_energy.close()

        result = {
            "offline_meter": {
                "cost_center_id": offline_meter['cost_center_id'],
                "energy_category_id": offline_meter['energy_category_id'],
                "energy_category_name": offline_meter['energy_category_name'],
                "unit_of_measure": offline_meter['unit_of_measure'],
                "kgce": offline_meter['kgce'],
                "kgco2e": offline_meter['kgco2e'],
            },
            "base_period": {
                "total_in_category": base['total_in_category'],
                "total_in_kgce": base['total_in_kgce'],
                "total_in_kgco2e": base['total_in_kgco2e'],
                "timestamps": base['timestamps'],
                "values": base['values'],
            },
            "reporting_period": {
                "increment_rate":
                    (reporting['total_in_category'] - base['total_in_category']) / base['total_in_category']
                    if base['total_in_category'] > 0 else None,
                "total_in_category": reporting['total_in_category'],
                "total_in_kgce": reporting['total_in_kgce'],
                "total_in_kgco2e": reporting['total_in_kgco2e'],
                "timestamps": reporting['timestamps'],
                "values": reporting['values'],
            },
            "parameters": {
                "names": parameters_data['names'],
                "timestamps": parameters_data['timestamps'],
                "values": parameters_data['values']
            },
        }

        # export result to Excel file and then encode the file to base64 string
        result['excel_bytes_base64'] = \
            excelexporters.offlinemeterenergy.export(result,
                                                     offline_meter['name'],
                                                     reporting_period_start_datetime,
                                                     reporting_period_end_datetime,
                                                     period_type,
                                                     language)

        resp.text = json.dumps(result)


1			from datetime import datetime, timedelta, timezone
2			from decimal import Decimal
3
4			import gettext
5			import falcon
6			import mysql.connector
7			import simplejson as json
8
9			import config
10			import excelexporters.offlinemeterenergy
11			from core import utilities
12
13
14			class Reporting:
15			@staticmethod
16			def __init__():
17			"""Initializes Class"""
18			pass
19
20			@staticmethod
21			def on_options(req, resp):
22			resp.status = falcon.HTTP_200
23
24			####################################################################################################################
25			# PROCEDURES
26			# Step 1: valid parameters
27			# Step 2: query the offline meter and energy category
28			# Step 3: query base period energy consumption
29			# Step 4: query reporting period energy consumption
30			# Step 5: query tariff data
31			# Step 6: construct the report
32			####################################################################################################################
33			@staticmethod
34			def on_get(req, resp):
35			print(req.params)
36			offline_meter_id = req.params.get('offlinemeterid')
37			period_type = req.params.get('periodtype')
38			base_period_start_datetime_local = req.params.get('baseperiodstartdatetime')
39			base_period_end_datetime_local = req.params.get('baseperiodenddatetime')
40			reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
41			reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')
42			language = req.params.get('language')
43
44			################################################################################################################
45			# Step 1: valid parameters
46			################################################################################################################
47			if offline_meter_id is None:
48			raise falcon.HTTPError(falcon.HTTP_400,
49			title='API.BAD_REQUEST',
50			description='API.INVALID_OFFLINE_METER_ID')
51			else:
52			offline_meter_id = str.strip(offline_meter_id)
53			if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0:
54			raise falcon.HTTPError(falcon.HTTP_400,
55			title='API.BAD_REQUEST',
56			description='API.INVALID_OFFLINE_METER_ID')
57
58			if period_type is None:
59			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
60			else:
61			period_type = str.strip(period_type)
62			if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']:
63			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
64
65			timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
66			if config.utc_offset[0] == '-':
67			timezone_offset = -timezone_offset
68
69			base_start_datetime_utc = None
70			if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0:
71			base_period_start_datetime_local = str.strip(base_period_start_datetime_local)
72			try:
73			base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S')
74			except ValueError:
75			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
76			description="API.INVALID_BASE_PERIOD_START_DATETIME")
77			base_start_datetime_utc = \
78			base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset)
79			# nomalize the start datetime
80			if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30:
81			base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0)
82			else:
83			base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0)
84
85			base_end_datetime_utc = None
86			if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0:
87			base_period_end_datetime_local = str.strip(base_period_end_datetime_local)
88			try:
89			base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S')
90			except ValueError:
91			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
92			description="API.INVALID_BASE_PERIOD_END_DATETIME")
93			base_end_datetime_utc = \
94			base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset)
95
96			if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
97			base_start_datetime_utc >= base_end_datetime_utc:
98			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
99			description='API.INVALID_BASE_PERIOD_END_DATETIME')
100
101			if reporting_period_start_datetime is None:
102			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
103			description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
104			else:
105			reporting_period_start_datetime = str.strip(reporting_period_start_datetime)
106			try:
107			reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
108			except ValueError:
109			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
110			description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
111			reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
112			timedelta(minutes=timezone_offset)
113
114			if reporting_period_end_datetime is None:
115			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
116			description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
117			else:
118			reporting_period_end_datetime = str.strip(reporting_period_end_datetime)
119			try:
120			reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
121			except ValueError:
122			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
123			description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
124			reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
125			timedelta(minutes=timezone_offset)
126
127			if reporting_start_datetime_utc >= reporting_end_datetime_utc:
128			raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
129			description='API.INVALID_REPORTING_PERIOD_END_DATETIME')
130
131			locale_path = './i18n/'
132			if language == 'zh_CN':
133			trans = gettext.translation('myems', locale_path, languages=['zh_CN'])
134			elif language == 'de':
135			trans = gettext.translation('myems', locale_path, languages=['de'])
136			elif language == 'en':
137			trans = gettext.translation('myems', locale_path, languages=['en'])
138			else:
139			trans = gettext.translation('myems', locale_path, languages=['en'])
140			trans.install()
141			_ = trans.gettext
142
143			################################################################################################################
144			# Step 2: query the offline meter and energy category
145			################################################################################################################
146			cnx_system = mysql.connector.connect(**config.myems_system_db)
147			cursor_system = cnx_system.cursor()
148
149			cnx_energy = mysql.connector.connect(**config.myems_energy_db)
150			cursor_energy = cnx_energy.cursor()
151
152			cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
153			" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
154			" FROM tbl_offline_meters m, tbl_energy_categories ec "
155			" WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,))
156			row_offline_meter = cursor_system.fetchone()
157			if row_offline_meter is None:
158			if cursor_system:
159			cursor_system.close()
160			if cnx_system:
161			cnx_system.close()
162
163			if cursor_energy:
164			cursor_energy.close()
165			if cnx_energy:
166			cnx_energy.close()
167			raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND')
168
169			offline_meter = dict()
170			offline_meter['id'] = row_offline_meter[0]
171			offline_meter['name'] = row_offline_meter[1]
172			offline_meter['cost_center_id'] = row_offline_meter[2]
173			offline_meter['energy_category_id'] = row_offline_meter[3]
174			offline_meter['energy_category_name'] = row_offline_meter[4]
175			offline_meter['unit_of_measure'] = row_offline_meter[5]
176			offline_meter['kgce'] = row_offline_meter[6]
177			offline_meter['kgco2e'] = row_offline_meter[7]
178
179			################################################################################################################
180			# Step 3: query base period energy consumption
181			################################################################################################################
182			query = (" SELECT start_datetime_utc, actual_value "
183			" FROM tbl_offline_meter_hourly "
184			" WHERE offline_meter_id = %s "
185			" AND start_datetime_utc >= %s "
186			" AND start_datetime_utc < %s "
187			" ORDER BY start_datetime_utc ")
188			cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
189			rows_offline_meter_hourly = cursor_energy.fetchall()
190
191			rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
192			base_start_datetime_utc,
193			base_end_datetime_utc,
194			period_type)
195			base = dict()
196			base['timestamps'] = list()
197			base['values'] = list()
198			base['total_in_category'] = Decimal(0.0)
199			base['total_in_kgce'] = Decimal(0.0)
200			base['total_in_kgco2e'] = Decimal(0.0)
201
202			for row_offline_meter_periodically in rows_offline_meter_periodically:
203			current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
204			timedelta(minutes=timezone_offset)
205			if period_type == 'hourly':
206			current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
207			elif period_type == 'daily':
208			current_datetime = current_datetime_local.strftime('%Y-%m-%d')
209			elif period_type == 'weekly':
210			current_datetime = current_datetime_local.strftime('%Y-%m-%d')
211			elif period_type == 'monthly':
212			current_datetime = current_datetime_local.strftime('%Y-%m')
213			elif period_type == 'yearly':
214			current_datetime = current_datetime_local.strftime('%Y')
215
216			actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
217			else row_offline_meter_periodically[1]
218			base['timestamps'].append(current_datetime)
			0 ignored issues – show introduced 2021-03-02 03:54 UTC by Report Bug Copy Issue Report The variable `current_datetime` does not seem to be defined for all execution paths. Loading history...
219			base['values'].append(actual_value)
220			base['total_in_category'] += actual_value
221			base['total_in_kgce'] += actual_value * offline_meter['kgce']
222			base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
223			################################################################################################################
224			# Step 4: query reporting period energy consumption
225			################################################################################################################
226
227			query = (" SELECT start_datetime_utc, actual_value "
228			" FROM tbl_offline_meter_hourly "
229			" WHERE offline_meter_id = %s "
230			" AND start_datetime_utc >= %s "
231			" AND start_datetime_utc < %s "
232			" ORDER BY start_datetime_utc ")
233			cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
234			rows_offline_meter_hourly = cursor_energy.fetchall()
235
236			rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
237			reporting_start_datetime_utc,
238			reporting_end_datetime_utc,
239			period_type)
240			reporting = dict()
241			reporting['timestamps'] = list()
242			reporting['values'] = list()
243			reporting['total_in_category'] = Decimal(0.0)
244			reporting['total_in_kgce'] = Decimal(0.0)
245			reporting['total_in_kgco2e'] = Decimal(0.0)
246
247			for row_offline_meter_periodically in rows_offline_meter_periodically:
248			current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
249			timedelta(minutes=timezone_offset)
250			if period_type == 'hourly':
251			current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
252			elif period_type == 'daily':
253			current_datetime = current_datetime_local.strftime('%Y-%m-%d')
254			elif period_type == 'weekly':
255			current_datetime = current_datetime_local.strftime('%Y-%m-%d')
256			elif period_type == 'monthly':
257			current_datetime = current_datetime_local.strftime('%Y-%m')
258			elif period_type == 'yearly':
259			current_datetime = current_datetime_local.strftime('%Y')
260
261			actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
262			else row_offline_meter_periodically[1]
263
264			reporting['timestamps'].append(current_datetime)
265			reporting['values'].append(actual_value)
266			reporting['total_in_category'] += actual_value
267			reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
268			reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
269
270			################################################################################################################
271			# Step 5: query tariff data
272			################################################################################################################
273			parameters_data = dict()
274			parameters_data['names'] = list()
275			parameters_data['timestamps'] = list()
276			parameters_data['values'] = list()
277			if config.is_tariff_appended:
278			tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'],
279			offline_meter['energy_category_id'],
280			reporting_start_datetime_utc,
281			reporting_end_datetime_utc)
282			tariff_timestamp_list = list()
283			tariff_value_list = list()
284			for k, v in tariff_dict.items():
285			# convert k from utc to local
286			k = k + timedelta(minutes=timezone_offset)
287			tariff_timestamp_list.append(k.isoformat()[0:19])
288			tariff_value_list.append(v)
289
290			parameters_data['names'].append(_('Tariff') + '-' + offline_meter['energy_category_name'])
291			parameters_data['timestamps'].append(tariff_timestamp_list)
292			parameters_data['values'].append(tariff_value_list)
293
294			################################################################################################################
295			# Step 6: construct the report
296			################################################################################################################
297			if cursor_system:
298			cursor_system.close()
299			if cnx_system:
300			cnx_system.close()
301
302			if cursor_energy:
303			cursor_energy.close()
304			if cnx_energy:
305			cnx_energy.close()
306
307			result = {
308			"offline_meter": {
309			"cost_center_id": offline_meter['cost_center_id'],
310			"energy_category_id": offline_meter['energy_category_id'],
311			"energy_category_name": offline_meter['energy_category_name'],
312			"unit_of_measure": offline_meter['unit_of_measure'],
313			"kgce": offline_meter['kgce'],
314			"kgco2e": offline_meter['kgco2e'],
315			},
316			"base_period": {
317			"total_in_category": base['total_in_category'],
318			"total_in_kgce": base['total_in_kgce'],
319			"total_in_kgco2e": base['total_in_kgco2e'],
320			"timestamps": base['timestamps'],
321			"values": base['values'],
322			},
323			"reporting_period": {
324			"increment_rate":
325			(reporting['total_in_category'] - base['total_in_category']) / base['total_in_category']
326			if base['total_in_category'] > 0 else None,
327			"total_in_category": reporting['total_in_category'],
328			"total_in_kgce": reporting['total_in_kgce'],
329			"total_in_kgco2e": reporting['total_in_kgco2e'],
330			"timestamps": reporting['timestamps'],
331			"values": reporting['values'],
332			},
333			"parameters": {
334			"names": parameters_data['names'],
335			"timestamps": parameters_data['timestamps'],
336			"values": parameters_data['values']
337			},
338			}
339
340			# export result to Excel file and then encode the file to base64 string
341			result['excel_bytes_base64'] = \
342			excelexporters.offlinemeterenergy.export(result,
343			offline_meter['name'],
344			reporting_period_start_datetime,
345			reporting_period_end_datetime,
346			period_type,
347			language)
348
349			resp.text = json.dumps(result)
350

MyEMS / myems

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reports.offlinemeterenergy.Reporting.on_options() A

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