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

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

↳ Parent: reports.virtualmeterenergy

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.virtualmeterenergy


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 virtual 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)
        virtual_meter_id = req.params.get('virtualmeterid')
        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_local = req.params.get('reportingperiodstartdatetime')
        reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime')

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

        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_local is None:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
        else:
            reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local)
            try:
                reporting_start_datetime_utc = datetime.strptime(reporting_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_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_local is None:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
        else:
            reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local)
            try:
                reporting_end_datetime_utc = datetime.strptime(reporting_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_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 virtual 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_virtual_meters m, tbl_energy_categories ec "
                              " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,))
        row_virtual_meter = cursor_system.fetchone()
        if row_virtual_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.VIRTUAL_METER_NOT_FOUND')

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

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

        rows_virtual_meter_periodically = \
            utilities.aggregate_hourly_data_by_period(rows_virtual_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_virtual_meter_periodically in rows_virtual_meter_periodically:
            current_datetime_local = row_virtual_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_virtual_meter_periodically[1] is None \
                else row_virtual_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 * virtual_meter['kgce']
            base['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e']

        ################################################################################################################
        # Step 3: query reporting period energy consumption
        ################################################################################################################
        query = (" SELECT start_datetime_utc, actual_value "
                 " FROM tbl_virtual_meter_hourly "
                 " WHERE virtual_meter_id = %s "
                 " AND start_datetime_utc >= %s "
                 " AND start_datetime_utc < %s "
                 " ORDER BY start_datetime_utc ")
        cursor_energy.execute(query, (virtual_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
        rows_virtual_meter_hourly = cursor_energy.fetchall()

        rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_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_virtual_meter_periodically in rows_virtual_meter_periodically:
            current_datetime_local = row_virtual_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_virtual_meter_periodically[1] is None \
                else row_virtual_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 * virtual_meter['kgce']
            reporting['total_in_kgco2e'] += actual_value * virtual_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(virtual_meter['cost_center_id'],
                                                            virtual_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-' + virtual_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 = {
            "virtual_meter": {
                "cost_center_id": virtual_meter['cost_center_id'],
                "energy_category_id": virtual_meter['energy_category_id'],
                "energy_category_name": virtual_meter['energy_category_name'],
                "unit_of_measure": virtual_meter['unit_of_measure'],
                "kgce": virtual_meter['kgce'],
                "kgco2e": virtual_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.virtualmeterenergy.export(result,
                                                     virtual_meter['name'],
                                                     reporting_period_start_datetime_local,
                                                     reporting_period_end_datetime_local,
                                                     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.virtualmeterenergy
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 virtual 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		virtual_meter_id = req.params.get('virtualmeterid')
33		period_type = req.params.get('periodtype')
34		base_period_start_datetime_local = req.params.get('baseperiodstartdatetime')
35		base_period_end_datetime_local = req.params.get('baseperiodenddatetime')
36		reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime')
37		reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime')
38
39		################################################################################################################
40		# Step 1: valid parameters
41		################################################################################################################
42		if virtual_meter_id is None:
43		raise falcon.HTTPError(falcon.HTTP_400,
44		title='API.BAD_REQUEST',
45		description='API.INVALID_VIRTUAL_METER_ID')
46		else:
47		virtual_meter_id = str.strip(virtual_meter_id)
48		if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0:
49		raise falcon.HTTPError(falcon.HTTP_400,
50		title='API.BAD_REQUEST',
51		description='API.INVALID_VIRTUAL_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_local is not None and len(str.strip(base_period_start_datetime_local)) > 0:
66		base_period_start_datetime_local = str.strip(base_period_start_datetime_local)
67		try:
68		base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%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_local is not None and len(str.strip(base_period_end_datetime_local)) > 0:
77		base_period_end_datetime_local = str.strip(base_period_end_datetime_local)
78		try:
79		base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%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_local 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_local = str.strip(reporting_period_start_datetime_local)
96		try:
97		reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local,
98		'%Y-%m-%dT%H:%M:%S')
99		except ValueError:
100		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
101		description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
102		reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
103		timedelta(minutes=timezone_offset)
104
105		if reporting_period_end_datetime_local is None:
106		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
107		description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
108		else:
109		reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local)
110		try:
111		reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local,
112		'%Y-%m-%dT%H:%M:%S')
113		except ValueError:
114		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
115		description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
116		reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
117		timedelta(minutes=timezone_offset)
118
119		if reporting_start_datetime_utc >= reporting_end_datetime_utc:
120		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
121		description='API.INVALID_REPORTING_PERIOD_END_DATETIME')
122
123		################################################################################################################
124		# Step 2: query the virtual meter and energy category
125		################################################################################################################
126		cnx_system = mysql.connector.connect(**config.myems_system_db)
127		cursor_system = cnx_system.cursor()
128
129		cnx_energy = mysql.connector.connect(**config.myems_energy_db)
130		cursor_energy = cnx_energy.cursor()
131
132		cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
133		" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
134		" FROM tbl_virtual_meters m, tbl_energy_categories ec "
135		" WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,))
136		row_virtual_meter = cursor_system.fetchone()
137		if row_virtual_meter is None:
138		if cursor_system:
139		cursor_system.close()
140		if cnx_system:
141		cnx_system.disconnect()
142
143		if cursor_energy:
144		cursor_energy.close()
145		if cnx_energy:
146		cnx_energy.disconnect()
147		raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.VIRTUAL_METER_NOT_FOUND')
148
149		virtual_meter = dict()
150		virtual_meter['id'] = row_virtual_meter[0]
151		virtual_meter['name'] = row_virtual_meter[1]
152		virtual_meter['cost_center_id'] = row_virtual_meter[2]
153		virtual_meter['energy_category_id'] = row_virtual_meter[3]
154		virtual_meter['energy_category_name'] = row_virtual_meter[4]
155		virtual_meter['unit_of_measure'] = row_virtual_meter[5]
156		virtual_meter['kgce'] = row_virtual_meter[6]
157		virtual_meter['kgco2e'] = row_virtual_meter[7]
158
159		################################################################################################################
160		# Step 3: query base period energy consumption
161		################################################################################################################
162		query = (" SELECT start_datetime_utc, actual_value "
163		" FROM tbl_virtual_meter_hourly "
164		" WHERE virtual_meter_id = %s "
165		" AND start_datetime_utc >= %s "
166		" AND start_datetime_utc < %s "
167		" ORDER BY start_datetime_utc ")
168		cursor_energy.execute(query, (virtual_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
169		rows_virtual_meter_hourly = cursor_energy.fetchall()
170
171		rows_virtual_meter_periodically = \
172		utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly,
173		base_start_datetime_utc,
174		base_end_datetime_utc,
175		period_type)
176		base = dict()
177		base['timestamps'] = list()
178		base['values'] = list()
179		base['total_in_category'] = Decimal(0.0)
180		base['total_in_kgce'] = Decimal(0.0)
181		base['total_in_kgco2e'] = Decimal(0.0)
182
183		for row_virtual_meter_periodically in rows_virtual_meter_periodically:
184		current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \
185		timedelta(minutes=timezone_offset)
186		if period_type == 'hourly':
187		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
188		elif period_type == 'daily':
189		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
190		elif period_type == 'monthly':
191		current_datetime = current_datetime_local.strftime('%Y-%m')
192		elif period_type == 'yearly':
193		current_datetime = current_datetime_local.strftime('%Y')
194
195		actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \
196		else row_virtual_meter_periodically[1]
197		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...
198		base['values'].append(actual_value)
199		base['total_in_category'] += actual_value
200		base['total_in_kgce'] += actual_value * virtual_meter['kgce']
201		base['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e']
202
203		################################################################################################################
204		# Step 3: query reporting period energy consumption
205		################################################################################################################
206		query = (" SELECT start_datetime_utc, actual_value "
207		" FROM tbl_virtual_meter_hourly "
208		" WHERE virtual_meter_id = %s "
209		" AND start_datetime_utc >= %s "
210		" AND start_datetime_utc < %s "
211		" ORDER BY start_datetime_utc ")
212		cursor_energy.execute(query, (virtual_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
213		rows_virtual_meter_hourly = cursor_energy.fetchall()
214
215		rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly,
216		reporting_start_datetime_utc,
217		reporting_end_datetime_utc,
218		period_type)
219		reporting = dict()
220		reporting['timestamps'] = list()
221		reporting['values'] = list()
222		reporting['total_in_category'] = Decimal(0.0)
223		reporting['total_in_kgce'] = Decimal(0.0)
224		reporting['total_in_kgco2e'] = Decimal(0.0)
225
226		for row_virtual_meter_periodically in rows_virtual_meter_periodically:
227		current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \
228		timedelta(minutes=timezone_offset)
229		if period_type == 'hourly':
230		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
231		elif period_type == 'daily':
232		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
233		elif period_type == 'monthly':
234		current_datetime = current_datetime_local.strftime('%Y-%m')
235		elif period_type == 'yearly':
236		current_datetime = current_datetime_local.strftime('%Y')
237
238		actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \
239		else row_virtual_meter_periodically[1]
240
241		reporting['timestamps'].append(current_datetime)
242		reporting['values'].append(actual_value)
243		reporting['total_in_category'] += actual_value
244		reporting['total_in_kgce'] += actual_value * virtual_meter['kgce']
245		reporting['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e']
246
247		################################################################################################################
248		# Step 5: query tariff data
249		################################################################################################################
250		parameters_data = dict()
251		parameters_data['names'] = list()
252		parameters_data['timestamps'] = list()
253		parameters_data['values'] = list()
254
255		tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'],
256		virtual_meter['energy_category_id'],
257		reporting_start_datetime_utc,
258		reporting_end_datetime_utc)
259		tariff_timestamp_list = list()
260		tariff_value_list = list()
261		for k, v in tariff_dict.items():
262		# convert k from utc to local
263		k = k + timedelta(minutes=timezone_offset)
264		tariff_timestamp_list.append(k.isoformat()[0:19])
265		tariff_value_list.append(v)
266
267		parameters_data['names'].append('TARIFF-' + virtual_meter['energy_category_name'])
268		parameters_data['timestamps'].append(tariff_timestamp_list)
269		parameters_data['values'].append(tariff_value_list)
270
271		################################################################################################################
272		# Step 6: construct the report
273		################################################################################################################
274		if cursor_system:
275		cursor_system.close()
276		if cnx_system:
277		cnx_system.disconnect()
278
279		if cursor_energy:
280		cursor_energy.close()
281		if cnx_energy:
282		cnx_energy.disconnect()
283
284		result = {
285		"virtual_meter": {
286		"cost_center_id": virtual_meter['cost_center_id'],
287		"energy_category_id": virtual_meter['energy_category_id'],
288		"energy_category_name": virtual_meter['energy_category_name'],
289		"unit_of_measure": virtual_meter['unit_of_measure'],
290		"kgce": virtual_meter['kgce'],
291		"kgco2e": virtual_meter['kgco2e'],
292		},
293		"base_period": {
294		"total_in_category": base['total_in_category'],
295		"total_in_kgce": base['total_in_kgce'],
296		"total_in_kgco2e": base['total_in_kgco2e'],
297		"timestamps": base['timestamps'],
298		"values": base['values'],
299		},
300		"reporting_period": {
301		"increment_rate":
302		(reporting['total_in_category'] - base['total_in_category']) / base['total_in_category']
303		if base['total_in_category'] > 0 else None,
304		"total_in_category": reporting['total_in_category'],
305		"total_in_kgce": reporting['total_in_kgce'],
306		"total_in_kgco2e": reporting['total_in_kgco2e'],
307		"timestamps": reporting['timestamps'],
308		"values": reporting['values'],
309		},
310		"parameters": {
311		"names": parameters_data['names'],
312		"timestamps": parameters_data['timestamps'],
313		"values": parameters_data['values']
314		},
315		}
316
317		# export result to Excel file and then encode the file to base64 string
318		result['excel_bytes_base64'] = \
319		excelexporters.virtualmeterenergy.export(result,
320		virtual_meter['name'],
321		reporting_period_start_datetime_local,
322		reporting_period_end_datetime_local,
323		period_type)
324
325		resp.body = json.dumps(result)
326

myems / myems-api

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

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