reports.offlinemeterenergy.Reporting.__init__() - Code Metrics - myems/myems-api - Measure and Improve Code Quality continuously with Scrutinizer

reports.offlinemeterenergy.Reporting.init() A
last analyzed 2021-02-26 06:13 UTC

↳ Parent: reports.offlinemeterenergy

Complexity

Conditions

Size

Total Lines	3
Code Lines	3

Duplication

Lines	3
Ratio	100 %

Importance

Changes

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

import falcon
import simplejson as json
import mysql.connector
import config
from datetime import datetime, timedelta, timezone
from core import utilities
from decimal import Decimal
import excelexporters.offlinemeterenergy


class Reporting:

    @staticmethod
    def __init__():
        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 = req.params.get('baseperiodstartdatetime')
        base_period_end_datetime = req.params.get('baseperiodenddatetime')
        reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
        reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')

        ################################################################################################################
        # 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', '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 is not None and len(str.strip(base_period_start_datetime)) > 0:
            base_period_start_datetime = str.strip(base_period_start_datetime)
            try:
                base_start_datetime_utc = datetime.strptime(base_period_start_datetime, '%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)

        base_end_datetime_utc = None
        if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
            base_period_end_datetime = str.strip(base_period_end_datetime)
            try:
                base_end_datetime_utc = datetime.strptime(base_period_end_datetime, '%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')

        ################################################################################################################
        # 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.disconnect()

            if cursor_energy:
                cursor_energy.close()
            if cnx_energy:
                cnx_energy.disconnect()
            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 == '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 == '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()

        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.disconnect()

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

        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)

        resp.body = json.dumps(result)


1		import falcon
2		import simplejson as json
3		import mysql.connector
4		import config
5		from datetime import datetime, timedelta, timezone
6		from core import utilities
7		from decimal import Decimal
8		import excelexporters.offlinemeterenergy
9
10
11	View Code Duplication	class Reporting:
		0 ignored issues – show Duplication introduced 2021-01-27 05:25 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
12		@staticmethod
13		def __init__():
14		pass
15
16		@staticmethod
17		def on_options(req, resp):
18		resp.status = falcon.HTTP_200
19
20		####################################################################################################################
21		# PROCEDURES
22		# Step 1: valid parameters
23		# Step 2: query the offline meter and energy category
24		# Step 3: query base period energy consumption
25		# Step 4: query reporting period energy consumption
26		# Step 5: query tariff data
27		# Step 6: construct the report
28		####################################################################################################################
29		@staticmethod
30		def on_get(req, resp):
31		print(req.params)
32		offline_meter_id = req.params.get('offlinemeterid')
33		period_type = req.params.get('periodtype')
34		base_period_start_datetime = req.params.get('baseperiodstartdatetime')
35		base_period_end_datetime = req.params.get('baseperiodenddatetime')
36		reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
37		reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')
38
39		################################################################################################################
40		# Step 1: valid parameters
41		################################################################################################################
42		if offline_meter_id is None:
43		raise falcon.HTTPError(falcon.HTTP_400,
44		title='API.BAD_REQUEST',
45		description='API.INVALID_OFFLINE_METER_ID')
46		else:
47		offline_meter_id = str.strip(offline_meter_id)
48		if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0:
49		raise falcon.HTTPError(falcon.HTTP_400,
50		title='API.BAD_REQUEST',
51		description='API.INVALID_OFFLINE_METER_ID')
52
53		if period_type is None:
54		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
55		else:
56		period_type = str.strip(period_type)
57		if period_type not in ['hourly', 'daily', 'monthly', 'yearly']:
58		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
59
60		timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
61		if config.utc_offset[0] == '-':
62		timezone_offset = -timezone_offset
63
64		base_start_datetime_utc = None
65		if base_period_start_datetime is not None and len(str.strip(base_period_start_datetime)) > 0:
66		base_period_start_datetime = str.strip(base_period_start_datetime)
67		try:
68		base_start_datetime_utc = datetime.strptime(base_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
69		except ValueError:
70		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
71		description="API.INVALID_BASE_PERIOD_START_DATETIME")
72		base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \
73		timedelta(minutes=timezone_offset)
74
75		base_end_datetime_utc = None
76		if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
77		base_period_end_datetime = str.strip(base_period_end_datetime)
78		try:
79		base_end_datetime_utc = datetime.strptime(base_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
80		except ValueError:
81		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
82		description="API.INVALID_BASE_PERIOD_END_DATETIME")
83		base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \
84		timedelta(minutes=timezone_offset)
85
86		if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
87		base_start_datetime_utc >= base_end_datetime_utc:
88		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
89		description='API.INVALID_BASE_PERIOD_END_DATETIME')
90
91		if reporting_period_start_datetime is None:
92		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
93		description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
94		else:
95		reporting_period_start_datetime = str.strip(reporting_period_start_datetime)
96		try:
97		reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
98		except ValueError:
99		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
100		description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
101		reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
102		timedelta(minutes=timezone_offset)
103
104		if reporting_period_end_datetime is None:
105		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
106		description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
107		else:
108		reporting_period_end_datetime = str.strip(reporting_period_end_datetime)
109		try:
110		reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
111		except ValueError:
112		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
113		description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
114		reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
115		timedelta(minutes=timezone_offset)
116
117		if reporting_start_datetime_utc >= reporting_end_datetime_utc:
118		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
119		description='API.INVALID_REPORTING_PERIOD_END_DATETIME')
120
121		################################################################################################################
122		# Step 2: query the offline meter and energy category
123		################################################################################################################
124		cnx_system = mysql.connector.connect(**config.myems_system_db)
125		cursor_system = cnx_system.cursor()
126
127		cnx_energy = mysql.connector.connect(**config.myems_energy_db)
128		cursor_energy = cnx_energy.cursor()
129
130		cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
131		" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
132		" FROM tbl_offline_meters m, tbl_energy_categories ec "
133		" WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,))
134		row_offline_meter = cursor_system.fetchone()
135		if row_offline_meter is None:
136		if cursor_system:
137		cursor_system.close()
138		if cnx_system:
139		cnx_system.disconnect()
140
141		if cursor_energy:
142		cursor_energy.close()
143		if cnx_energy:
144		cnx_energy.disconnect()
145		raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND')
146
147		offline_meter = dict()
148		offline_meter['id'] = row_offline_meter[0]
149		offline_meter['name'] = row_offline_meter[1]
150		offline_meter['cost_center_id'] = row_offline_meter[2]
151		offline_meter['energy_category_id'] = row_offline_meter[3]
152		offline_meter['energy_category_name'] = row_offline_meter[4]
153		offline_meter['unit_of_measure'] = row_offline_meter[5]
154		offline_meter['kgce'] = row_offline_meter[6]
155		offline_meter['kgco2e'] = row_offline_meter[7]
156
157		################################################################################################################
158		# Step 3: query base period energy consumption
159		################################################################################################################
160		query = (" SELECT start_datetime_utc, actual_value "
161		" FROM tbl_offline_meter_hourly "
162		" WHERE offline_meter_id = %s "
163		" AND start_datetime_utc >= %s "
164		" AND start_datetime_utc < %s "
165		" ORDER BY start_datetime_utc ")
166		cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
167		rows_offline_meter_hourly = cursor_energy.fetchall()
168
169		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
170		base_start_datetime_utc,
171		base_end_datetime_utc,
172		period_type)
173		base = dict()
174		base['timestamps'] = list()
175		base['values'] = list()
176		base['total_in_category'] = Decimal(0.0)
177		base['total_in_kgce'] = Decimal(0.0)
178		base['total_in_kgco2e'] = Decimal(0.0)
179
180		for row_offline_meter_periodically in rows_offline_meter_periodically:
181		current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
182		timedelta(minutes=timezone_offset)
183		if period_type == 'hourly':
184		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
185		elif period_type == 'daily':
186		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
187		elif period_type == 'monthly':
188		current_datetime = current_datetime_local.strftime('%Y-%m')
189		elif period_type == 'yearly':
190		current_datetime = current_datetime_local.strftime('%Y')
191
192		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
193		else row_offline_meter_periodically[1]
194		base['timestamps'].append(current_datetime)
		0 ignored issues – show introduced 2020-11-24 10:14 UTC by Report Bug Copy Issue Report The variable `current_datetime` does not seem to be defined for all execution paths. Loading history...
195		base['values'].append(actual_value)
196		base['total_in_category'] += actual_value
197		base['total_in_kgce'] += actual_value * offline_meter['kgce']
198		base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
199		################################################################################################################
200		# Step 4: query reporting period energy consumption
201		################################################################################################################
202
203		query = (" SELECT start_datetime_utc, actual_value "
204		" FROM tbl_offline_meter_hourly "
205		" WHERE offline_meter_id = %s "
206		" AND start_datetime_utc >= %s "
207		" AND start_datetime_utc < %s "
208		" ORDER BY start_datetime_utc ")
209		cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
210		rows_offline_meter_hourly = cursor_energy.fetchall()
211
212		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
213		reporting_start_datetime_utc,
214		reporting_end_datetime_utc,
215		period_type)
216		reporting = dict()
217		reporting['timestamps'] = list()
218		reporting['values'] = list()
219		reporting['total_in_category'] = Decimal(0.0)
220		reporting['total_in_kgce'] = Decimal(0.0)
221		reporting['total_in_kgco2e'] = Decimal(0.0)
222
223		for row_offline_meter_periodically in rows_offline_meter_periodically:
224		current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
225		timedelta(minutes=timezone_offset)
226		if period_type == 'hourly':
227		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
228		elif period_type == 'daily':
229		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
230		elif period_type == 'monthly':
231		current_datetime = current_datetime_local.strftime('%Y-%m')
232		elif period_type == 'yearly':
233		current_datetime = current_datetime_local.strftime('%Y')
234
235		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
236		else row_offline_meter_periodically[1]
237
238		reporting['timestamps'].append(current_datetime)
239		reporting['values'].append(actual_value)
240		reporting['total_in_category'] += actual_value
241		reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
242		reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
243
244		################################################################################################################
245		# Step 5: query tariff data
246		################################################################################################################
247		parameters_data = dict()
248		parameters_data['names'] = list()
249		parameters_data['timestamps'] = list()
250		parameters_data['values'] = list()
251
252		tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'],
253		offline_meter['energy_category_id'],
254		reporting_start_datetime_utc,
255		reporting_end_datetime_utc)
256		tariff_timestamp_list = list()
257		tariff_value_list = list()
258		for k, v in tariff_dict.items():
259		# convert k from utc to local
260		k = k + timedelta(minutes=timezone_offset)
261		tariff_timestamp_list.append(k.isoformat()[0:19])
262		tariff_value_list.append(v)
263
264		parameters_data['names'].append('TARIFF-' + offline_meter['energy_category_name'])
265		parameters_data['timestamps'].append(tariff_timestamp_list)
266		parameters_data['values'].append(tariff_value_list)
267
268		################################################################################################################
269		# Step 6: construct the report
270		################################################################################################################
271		if cursor_system:
272		cursor_system.close()
273		if cnx_system:
274		cnx_system.disconnect()
275
276		if cursor_energy:
277		cursor_energy.close()
278		if cnx_energy:
279		cnx_energy.disconnect()
280
281		result = {
282		"offline_meter": {
283		"cost_center_id": offline_meter['cost_center_id'],
284		"energy_category_id": offline_meter['energy_category_id'],
285		"energy_category_name": offline_meter['energy_category_name'],
286		"unit_of_measure": offline_meter['unit_of_measure'],
287		"kgce": offline_meter['kgce'],
288		"kgco2e": offline_meter['kgco2e'],
289		},
290		"base_period": {
291		"total_in_category": base['total_in_category'],
292		"total_in_kgce": base['total_in_kgce'],
293		"total_in_kgco2e": base['total_in_kgco2e'],
294		"timestamps": base['timestamps'],
295		"values": base['values'],
296		},
297		"reporting_period": {
298		"increment_rate":
299		(reporting['total_in_category'] - base['total_in_category']) / base['total_in_category']
300		if base['total_in_category'] > 0 else None,
301		"total_in_category": reporting['total_in_category'],
302		"total_in_kgce": reporting['total_in_kgce'],
303		"total_in_kgco2e": reporting['total_in_kgco2e'],
304		"timestamps": reporting['timestamps'],
305		"values": reporting['values'],
306		},
307		"parameters": {
308		"names": parameters_data['names'],
309		"timestamps": parameters_data['timestamps'],
310		"values": parameters_data['values']
311		},
312		}
313
314		# export result to Excel file and then encode the file to base64 string
315		result['excel_bytes_base64'] = \
316		excelexporters.offlinemeterenergy.export(result,
317		offline_meter['name'],
318		reporting_period_start_datetime,
319		reporting_period_end_datetime,
320		period_type)
321
322		resp.body = json.dumps(result)
323

myems / myems-api

reports.offlinemeterenergy.Reporting.__init__() A last analyzed 2021-02-26 06:13 UTC

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like

reports.offlinemeterenergy.Reporting.init() A
last analyzed 2021-02-26 06:13 UTC