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

Passed

Push — master ( dc4cf6...d9c3b0 )

by Guangyu

created 2021-01-06 13:56 UTC

reports.offlinemetercost.Reporting.on_get() F

↳ Parent: reports.offlinemetercost

Complexity

Conditions

Size

Total Lines	346
Code Lines	248

Duplication

Lines	346
Ratio	100 %

Importance

Changes

Metric	Value
cc	52
eloc	248
nop	2
dl	346
loc	346
rs	0
c	0
b	0
f	0

How to fix Long Method Complexity

import falcon
import simplejson as json
import mysql.connector
import config
from datetime import datetime, timedelta, timezone
import utilities
from decimal import *


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 base period energy cost
    # Step 5: query reporting period energy consumption
    # Step 6: query reporting period energy cost
    # Step 7: query tariff data
    # Step 8: 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_end_datetime is not None and len(str.strip(base_period_end_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_BEGINS_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_ENDS_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_ENDS_DATETIME')

        if reporting_period_start_datetime is None:
            raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description="API.INVALID_REPORTING_PERIOD_BEGINS_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_BEGINS_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_ENDS_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_ENDS_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_ENDS_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()

        cnx_billing = mysql.connector.connect(**config.myems_billing_db)
        cursor_billing = cnx_billing.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()

            if cursor_billing:
                cursor_billing.close()
            if cnx_billing:
                cnx_billing.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'] = config.currency_unit
        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['total_in_kgce'] += actual_value * offline_meter['kgce']
            base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']

        ################################################################################################################
        # Step 4: query base period energy cost
        ################################################################################################################
        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_billing.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
        rows_offline_meter_hourly = cursor_billing.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['values'] = list()
        base['total_in_category'] = Decimal(0.0)

        for row_offline_meter_periodically in rows_offline_meter_periodically:
            actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
                else row_offline_meter_periodically[1]
            base['values'].append(actual_value)
            base['total_in_category'] += actual_value

        ################################################################################################################
        # Step 5: 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['total_in_kgce'] += actual_value * offline_meter['kgce']
            reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']

        ################################################################################################################
        # Step 6: query reporting period energy cost
        ################################################################################################################
        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_billing.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
        rows_offline_meter_hourly = cursor_billing.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)

        for row_offline_meter_periodically in rows_offline_meter_periodically:
            actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
                else row_offline_meter_periodically[1]

            reporting['values'].append(actual_value)
            reporting['total_in_category'] += actual_value

        ################################################################################################################
        # Step 7: 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 8: construct the report
        ################################################################################################################
        if cursor_system:
            cursor_system.close()
        if cnx_system:
            cnx_system.disconnect()

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

        if cursor_billing:
            cursor_billing.close()
        if cnx_billing:
            cnx_billing.disconnect()

        result = {
            "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": config.currency_unit,
                "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']
            },
        }

        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		import utilities
7		from decimal import *
8
9
10	View Code Duplication	class Reporting:
		0 ignored issues – show Duplication introduced 2020-11-24 10:14 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
11		@staticmethod
12		def __init__():
13		pass
14
15		@staticmethod
16		def on_options(req, resp):
17		resp.status = falcon.HTTP_200
18
19		####################################################################################################################
20		# PROCEDURES
21		# Step 1: valid parameters
22		# Step 2: query the offline meter and energy category
23		# Step 3: query base period energy consumption
24		# Step 4: query base period energy cost
25		# Step 5: query reporting period energy consumption
26		# Step 6: query reporting period energy cost
27		# Step 7: query tariff data
28		# Step 8: construct the report
29		####################################################################################################################
30		@staticmethod
31		def on_get(req, resp):
32		print(req.params)
33		offline_meter_id = req.params.get('offlinemeterid')
34		period_type = req.params.get('periodtype')
35		base_period_start_datetime = req.params.get('baseperiodstartdatetime')
36		base_period_end_datetime = req.params.get('baseperiodenddatetime')
37		reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
38		reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')
39
40		################################################################################################################
41		# Step 1: valid parameters
42		################################################################################################################
43		if offline_meter_id is None:
44		raise falcon.HTTPError(falcon.HTTP_400,
45		title='API.BAD_REQUEST',
46		description='API.INVALID_OFFLINE_METER_ID')
47		else:
48		offline_meter_id = str.strip(offline_meter_id)
49		if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0:
50		raise falcon.HTTPError(falcon.HTTP_400,
51		title='API.BAD_REQUEST',
52		description='API.INVALID_OFFLINE_METER_ID')
53
54		if period_type is None:
55		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
56		else:
57		period_type = str.strip(period_type)
58		if period_type not in ['hourly', 'daily', 'monthly', 'yearly']:
59		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
60
61		timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
62		if config.utc_offset[0] == '-':
63		timezone_offset = -timezone_offset
64
65		base_start_datetime_utc = None
66		if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
67		base_period_start_datetime = str.strip(base_period_start_datetime)
68		try:
69		base_start_datetime_utc = datetime.strptime(base_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
70		except ValueError:
71		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
72		description="API.INVALID_BASE_PERIOD_BEGINS_DATETIME")
73		base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \
74		timedelta(minutes=timezone_offset)
75
76		base_end_datetime_utc = None
77		if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
78		base_period_end_datetime = str.strip(base_period_end_datetime)
79		try:
80		base_end_datetime_utc = datetime.strptime(base_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
81		except ValueError:
82		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
83		description="API.INVALID_BASE_PERIOD_ENDS_DATETIME")
84		base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \
85		timedelta(minutes=timezone_offset)
86
87		if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
88		base_start_datetime_utc >= base_end_datetime_utc:
89		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
90		description='API.INVALID_BASE_PERIOD_ENDS_DATETIME')
91
92		if reporting_period_start_datetime is None:
93		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
94		description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
95		else:
96		reporting_period_start_datetime = str.strip(reporting_period_start_datetime)
97		try:
98		reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%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_BEGINS_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 is None:
106		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
107		description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
108		else:
109		reporting_period_end_datetime = str.strip(reporting_period_end_datetime)
110		try:
111		reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
112		except ValueError:
113		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
114		description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
115		reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
116		timedelta(minutes=timezone_offset)
117
118		if reporting_start_datetime_utc >= reporting_end_datetime_utc:
119		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
120		description='API.INVALID_REPORTING_PERIOD_ENDS_DATETIME')
121
122		################################################################################################################
123		# Step 2: query the offline meter and energy category
124		################################################################################################################
125		cnx_system = mysql.connector.connect(**config.myems_system_db)
126		cursor_system = cnx_system.cursor()
127
128		cnx_energy = mysql.connector.connect(**config.myems_energy_db)
129		cursor_energy = cnx_energy.cursor()
130
131		cnx_billing = mysql.connector.connect(**config.myems_billing_db)
132		cursor_billing = cnx_billing.cursor()
133
134		cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
135		" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
136		" FROM tbl_offline_meters m, tbl_energy_categories ec "
137		" WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,))
138		row_offline_meter = cursor_system.fetchone()
139		if row_offline_meter is None:
140		if cursor_system:
141		cursor_system.close()
142		if cnx_system:
143		cnx_system.disconnect()
144
145		if cursor_energy:
146		cursor_energy.close()
147		if cnx_energy:
148		cnx_energy.disconnect()
149
150		if cursor_billing:
151		cursor_billing.close()
152		if cnx_billing:
153		cnx_billing.disconnect()
154
155		raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND')
156
157		offline_meter = dict()
158		offline_meter['id'] = row_offline_meter[0]
159		offline_meter['name'] = row_offline_meter[1]
160		offline_meter['cost_center_id'] = row_offline_meter[2]
161		offline_meter['energy_category_id'] = row_offline_meter[3]
162		offline_meter['energy_category_name'] = row_offline_meter[4]
163		offline_meter['unit_of_measure'] = config.currency_unit
164		offline_meter['kgce'] = row_offline_meter[6]
165		offline_meter['kgco2e'] = row_offline_meter[7]
166
167		################################################################################################################
168		# Step 3: query base period energy consumption
169		################################################################################################################
170		query = (" SELECT start_datetime_utc, actual_value "
171		" FROM tbl_offline_meter_hourly "
172		" WHERE offline_meter_id = %s "
173		" AND start_datetime_utc >= %s "
174		" AND start_datetime_utc < %s "
175		" ORDER BY start_datetime_utc ")
176		cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
177		rows_offline_meter_hourly = cursor_energy.fetchall()
178
179		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
180		base_start_datetime_utc,
181		base_end_datetime_utc,
182		period_type)
183		base = dict()
184		base['timestamps'] = list()
185		base['values'] = list()
186		base['total_in_category'] = Decimal(0.0)
187		base['total_in_kgce'] = Decimal(0.0)
188		base['total_in_kgco2e'] = Decimal(0.0)
189
190		for row_offline_meter_periodically in rows_offline_meter_periodically:
191		current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
192		timedelta(minutes=timezone_offset)
193		if period_type == 'hourly':
194		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
195		elif period_type == 'daily':
196		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
197		elif period_type == 'monthly':
198		current_datetime = current_datetime_local.strftime('%Y-%m')
199		elif period_type == 'yearly':
200		current_datetime = current_datetime_local.strftime('%Y')
201
202		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
203		else row_offline_meter_periodically[1]
204		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...
205		base['total_in_kgce'] += actual_value * offline_meter['kgce']
206		base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
207
208		################################################################################################################
209		# Step 4: query base period energy cost
210		################################################################################################################
211		query = (" SELECT start_datetime_utc, actual_value "
212		" FROM tbl_offline_meter_hourly "
213		" WHERE offline_meter_id = %s "
214		" AND start_datetime_utc >= %s "
215		" AND start_datetime_utc < %s "
216		" ORDER BY start_datetime_utc ")
217		cursor_billing.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
218		rows_offline_meter_hourly = cursor_billing.fetchall()
219
220		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
221		base_start_datetime_utc,
222		base_end_datetime_utc,
223		period_type)
224
225		base['values'] = list()
226		base['total_in_category'] = Decimal(0.0)
227
228		for row_offline_meter_periodically in rows_offline_meter_periodically:
229		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
230		else row_offline_meter_periodically[1]
231		base['values'].append(actual_value)
232		base['total_in_category'] += actual_value
233
234		################################################################################################################
235		# Step 5: query reporting period energy consumption
236		################################################################################################################
237		query = (" SELECT start_datetime_utc, actual_value "
238		" FROM tbl_offline_meter_hourly "
239		" WHERE offline_meter_id = %s "
240		" AND start_datetime_utc >= %s "
241		" AND start_datetime_utc < %s "
242		" ORDER BY start_datetime_utc ")
243		cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
244		rows_offline_meter_hourly = cursor_energy.fetchall()
245
246		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
247		reporting_start_datetime_utc,
248		reporting_end_datetime_utc,
249		period_type)
250		reporting = dict()
251		reporting['timestamps'] = list()
252		reporting['values'] = list()
253		reporting['total_in_category'] = Decimal(0.0)
254		reporting['total_in_kgce'] = Decimal(0.0)
255		reporting['total_in_kgco2e'] = Decimal(0.0)
256
257		for row_offline_meter_periodically in rows_offline_meter_periodically:
258		current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
259		timedelta(minutes=timezone_offset)
260		if period_type == 'hourly':
261		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
262		elif period_type == 'daily':
263		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
264		elif period_type == 'monthly':
265		current_datetime = current_datetime_local.strftime('%Y-%m')
266		elif period_type == 'yearly':
267		current_datetime = current_datetime_local.strftime('%Y')
268
269		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
270		else row_offline_meter_periodically[1]
271
272		reporting['timestamps'].append(current_datetime)
273		reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
274		reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
275
276		################################################################################################################
277		# Step 6: query reporting period energy cost
278		################################################################################################################
279		query = (" SELECT start_datetime_utc, actual_value "
280		" FROM tbl_offline_meter_hourly "
281		" WHERE offline_meter_id = %s "
282		" AND start_datetime_utc >= %s "
283		" AND start_datetime_utc < %s "
284		" ORDER BY start_datetime_utc ")
285		cursor_billing.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
286		rows_offline_meter_hourly = cursor_billing.fetchall()
287
288		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
289		reporting_start_datetime_utc,
290		reporting_end_datetime_utc,
291		period_type)
292
293		for row_offline_meter_periodically in rows_offline_meter_periodically:
294		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
295		else row_offline_meter_periodically[1]
296
297		reporting['values'].append(actual_value)
298		reporting['total_in_category'] += actual_value
299
300		################################################################################################################
301		# Step 7: query tariff data
302		################################################################################################################
303		parameters_data = dict()
304		parameters_data['names'] = list()
305		parameters_data['timestamps'] = list()
306		parameters_data['values'] = list()
307
308		tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'],
309		offline_meter['energy_category_id'],
310		reporting_start_datetime_utc,
311		reporting_end_datetime_utc)
312		tariff_timestamp_list = list()
313		tariff_value_list = list()
314		for k, v in tariff_dict.items():
315		# convert k from utc to local
316		k = k + timedelta(minutes=timezone_offset)
317		tariff_timestamp_list.append(k.isoformat()[0:19])
318		tariff_value_list.append(v)
319
320		parameters_data['names'].append('TARIFF-' + offline_meter['energy_category_name'])
321		parameters_data['timestamps'].append(tariff_timestamp_list)
322		parameters_data['values'].append(tariff_value_list)
323
324		################################################################################################################
325		# Step 8: construct the report
326		################################################################################################################
327		if cursor_system:
328		cursor_system.close()
329		if cnx_system:
330		cnx_system.disconnect()
331
332		if cursor_energy:
333		cursor_energy.close()
334		if cnx_energy:
335		cnx_energy.disconnect()
336
337		if cursor_billing:
338		cursor_billing.close()
339		if cnx_billing:
340		cnx_billing.disconnect()
341
342		result = {
343		"offline_meter": {
344		"cost_center_id": offline_meter['cost_center_id'],
345		"energy_category_id": offline_meter['energy_category_id'],
346		"energy_category_name": offline_meter['energy_category_name'],
347		"unit_of_measure": config.currency_unit,
348		"kgce": offline_meter['kgce'],
349		"kgco2e": offline_meter['kgco2e'],
350		},
351		"base_period": {
352		"total_in_category": base['total_in_category'],
353		"total_in_kgce": base['total_in_kgce'],
354		"total_in_kgco2e": base['total_in_kgco2e'],
355		"timestamps": base['timestamps'],
356		"values": base['values'],
357		},
358		"reporting_period": {
359		"increment_rate":
360		(reporting['total_in_category']-base['total_in_category'])/base['total_in_category']
361		if base['total_in_category'] > 0 else None,
362		"total_in_category": reporting['total_in_category'],
363		"total_in_kgce": reporting['total_in_kgce'],
364		"total_in_kgco2e": reporting['total_in_kgco2e'],
365		"timestamps": reporting['timestamps'],
366		"values": reporting['values'],
367		},
368		"parameters": {
369		"names": parameters_data['names'],
370		"timestamps": parameters_data['timestamps'],
371		"values": parameters_data['values']
372		},
373		}
374
375		resp.body = json.dumps(result)
376

myems / myems-api

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