Issues in offlinemeterenergy.py - New Issues - Inspection of "Merge branch 'develop'" - myems/myems-api - Measure and Improve Code Quality continuously with Scrutinizer

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Push — master ( e0aaf2...91c0a5 )

by Guangyu

created 2020-11-27 06:15 UTC

reports/offlinemeterenergy.py (1 issue)

Severity

Unknown 1

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 reporting period energy consumption
    # Step 5: query parameters 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_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 = mysql.connector.connect(**config.myems_system_db)
        cursor = cnx.cursor()

        cursor.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.fetchone()
        if row_offline_meter is None:
            cursor.close()
            cnx.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]

        if cursor:
            cursor.close()
        if cnx:
            cnx.disconnect()

        ################################################################################################################
        # Step 3: query base period energy consumption
        ################################################################################################################
        cnx = mysql.connector.connect(**config.myems_energy_db)
        cursor = cnx.cursor()
        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.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
        rows_offline_meter_hourly = cursor.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_in_category'] = list()
        base['total_in_category'] = Decimal(0.0)
        base['values_in_kgce'] = list()
        base['total_in_kgce'] = Decimal(0.0)
        base['values_in_kgco2e'] = list()
        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_in_category'].append(actual_value)
            base['total_in_category'] += actual_value
            base['values_in_kgce'].append(actual_value * offline_meter['kgce'])
            base['total_in_kgce'] += actual_value * offline_meter['kgce']
            base['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e'])
            base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
        ################################################################################################################
        # Step 3: 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.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
        rows_offline_meter_hourly = cursor.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_in_category'] = list()
        reporting['total_in_category'] = Decimal(0.0)
        reporting['values_in_kgce'] = list()
        reporting['total_in_kgce'] = Decimal(0.0)
        reporting['values_in_kgco2e'] = list()
        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_in_category'].append(actual_value)
            reporting['total_in_category'] += actual_value
            reporting['values_in_kgce'].append(actual_value * offline_meter['kgce'])
            reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
            reporting['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e'])
            reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']

        if cursor:
            cursor.close()
        if cnx:
            cnx.disconnect()

        ################################################################################################################
        # Step 5: query parameters data
        ################################################################################################################
        parameters = dict()
        parameters['names'] = list()
        parameters['timestamps'] = list()
        parameters['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)
        print(tariff_dict)
        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['names'].append('TARIFF')
        parameters['timestamps'].append(tariff_timestamp_list)
        parameters['values'].append(tariff_value_list)

        ################################################################################################################
        # Step 6: construct the report
        ################################################################################################################
        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'],
            },
            "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'],
                               reporting['timestamps'],
                               reporting['timestamps']],
                "values": [reporting['values_in_category'],
                           reporting['values_in_kgce'],
                           reporting['values_in_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'],
                               base['timestamps'],
                               base['timestamps']],
                "values": [base['values_in_category'],
                           base['values_in_kgce'],
                           base['values_in_kgco2e']],
            },
            "parameters": {
                "names": parameters['names'],
                "timestamps": parameters['timestamps'],
                "values": parameters['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:
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 reporting period energy consumption
25		# Step 5: query parameters data
26		# Step 6: construct the report
27		####################################################################################################################
28		@staticmethod
29		def on_get(req, resp):
30		print(req.params)
31		offline_meter_id = req.params.get('offlinemeterid')
32		period_type = req.params.get('periodtype')
33		base_period_start_datetime = req.params.get('baseperiodstartdatetime')
34		base_period_end_datetime = req.params.get('baseperiodenddatetime')
35		reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime')
36		reporting_period_end_datetime = req.params.get('reportingperiodenddatetime')
37
38		################################################################################################################
39		# Step 1: valid parameters
40		################################################################################################################
41		if offline_meter_id is None:
42		raise falcon.HTTPError(falcon.HTTP_400,
43		title='API.BAD_REQUEST',
44		description='API.INVALID_OFFLINE_METER_ID')
45		else:
46		offline_meter_id = str.strip(offline_meter_id)
47		if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0:
48		raise falcon.HTTPError(falcon.HTTP_400,
49		title='API.BAD_REQUEST',
50		description='API.INVALID_OFFLINE_METER_ID')
51
52		if period_type is None:
53		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
54		else:
55		period_type = str.strip(period_type)
56		if period_type not in ['hourly', 'daily', 'monthly', 'yearly']:
57		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE')
58
59		timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
60		if config.utc_offset[0] == '-':
61		timezone_offset = -timezone_offset
62
63		base_start_datetime_utc = None
64		if base_period_start_datetime is not None and len(str.strip(base_period_start_datetime)) > 0:
65		base_period_start_datetime = str.strip(base_period_start_datetime)
66		try:
67		base_start_datetime_utc = datetime.strptime(base_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
68		except ValueError:
69		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
70		description="API.INVALID_BASE_PERIOD_BEGINS_DATETIME")
71		base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \
72		timedelta(minutes=timezone_offset)
73
74		base_end_datetime_utc = None
75		if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0:
76		base_period_end_datetime = str.strip(base_period_end_datetime)
77		try:
78		base_end_datetime_utc = datetime.strptime(base_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
79		except ValueError:
80		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
81		description="API.INVALID_BASE_PERIOD_ENDS_DATETIME")
82		base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \
83		timedelta(minutes=timezone_offset)
84
85		if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \
86		base_start_datetime_utc >= base_end_datetime_utc:
87		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
88		description='API.INVALID_BASE_PERIOD_ENDS_DATETIME')
89
90		if reporting_period_start_datetime is None:
91		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
92		description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
93		else:
94		reporting_period_start_datetime = str.strip(reporting_period_start_datetime)
95		try:
96		reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S')
97		except ValueError:
98		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
99		description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME")
100		reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \
101		timedelta(minutes=timezone_offset)
102
103		if reporting_period_end_datetime is None:
104		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
105		description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
106		else:
107		reporting_period_end_datetime = str.strip(reporting_period_end_datetime)
108		try:
109		reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S')
110		except ValueError:
111		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
112		description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME")
113		reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
114		timedelta(minutes=timezone_offset)
115
116		if reporting_start_datetime_utc >= reporting_end_datetime_utc:
117		raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
118		description='API.INVALID_REPORTING_PERIOD_ENDS_DATETIME')
119
120		################################################################################################################
121		# Step 2: query the offline meter and energy category
122		################################################################################################################
123		cnx = mysql.connector.connect(**config.myems_system_db)
124		cursor = cnx.cursor()
125
126		cursor.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
127		" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
128		" FROM tbl_offline_meters m, tbl_energy_categories ec "
129		" WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,))
130		row_offline_meter = cursor.fetchone()
131		if row_offline_meter is None:
132		cursor.close()
133		cnx.disconnect()
134		raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND')
135
136		offline_meter = dict()
137		offline_meter['id'] = row_offline_meter[0]
138		offline_meter['name'] = row_offline_meter[1]
139		offline_meter['cost_center_id'] = row_offline_meter[2]
140		offline_meter['energy_category_id'] = row_offline_meter[3]
141		offline_meter['energy_category_name'] = row_offline_meter[4]
142		offline_meter['unit_of_measure'] = row_offline_meter[5]
143		offline_meter['kgce'] = row_offline_meter[6]
144		offline_meter['kgco2e'] = row_offline_meter[7]
145
146		if cursor:
147		cursor.close()
148		if cnx:
149		cnx.disconnect()
150
151		################################################################################################################
152		# Step 3: query base period energy consumption
153		################################################################################################################
154		cnx = mysql.connector.connect(**config.myems_energy_db)
155		cursor = cnx.cursor()
156		query = (" SELECT start_datetime_utc, actual_value "
157		" FROM tbl_offline_meter_hourly "
158		" WHERE offline_meter_id = %s "
159		" AND start_datetime_utc >= %s "
160		" AND start_datetime_utc < %s "
161		" ORDER BY start_datetime_utc ")
162		cursor.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc))
163		rows_offline_meter_hourly = cursor.fetchall()
164
165		rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly,
166		base_start_datetime_utc,
167		base_end_datetime_utc,
168		period_type)
169		base = dict()
170		base['timestamps'] = list()
171		base['values_in_category'] = list()
172		base['total_in_category'] = Decimal(0.0)
173		base['values_in_kgce'] = list()
174		base['total_in_kgce'] = Decimal(0.0)
175		base['values_in_kgco2e'] = list()
176		base['total_in_kgco2e'] = Decimal(0.0)
177
178		for row_offline_meter_periodically in rows_offline_meter_periodically:
179		current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
180		timedelta(minutes=timezone_offset)
181		if period_type == 'hourly':
182		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
183		elif period_type == 'daily':
184		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
185		elif period_type == 'monthly':
186		current_datetime = current_datetime_local.strftime('%Y-%m')
187		elif period_type == 'yearly':
188		current_datetime = current_datetime_local.strftime('%Y')
189
190		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
191		else row_offline_meter_periodically[1]
192		base['timestamps'].append(current_datetime)
		0 ignored issues – show introduced 2020-11-24 10:14 UTC by Report Bug Copy Issue Report Show Similar Issues like this The variable `current_datetime` does not seem to be defined for all execution paths. Loading history...
193		base['values_in_category'].append(actual_value)
194		base['total_in_category'] += actual_value
195		base['values_in_kgce'].append(actual_value * offline_meter['kgce'])
196		base['total_in_kgce'] += actual_value * offline_meter['kgce']
197		base['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e'])
198		base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
199		################################################################################################################
200		# Step 3: 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.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
210		rows_offline_meter_hourly = cursor.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_in_category'] = list()
219		reporting['total_in_category'] = Decimal(0.0)
220		reporting['values_in_kgce'] = list()
221		reporting['total_in_kgce'] = Decimal(0.0)
222		reporting['values_in_kgco2e'] = list()
223		reporting['total_in_kgco2e'] = Decimal(0.0)
224
225		for row_offline_meter_periodically in rows_offline_meter_periodically:
226		current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \
227		timedelta(minutes=timezone_offset)
228		if period_type == 'hourly':
229		current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S')
230		elif period_type == 'daily':
231		current_datetime = current_datetime_local.strftime('%Y-%m-%d')
232		elif period_type == 'monthly':
233		current_datetime = current_datetime_local.strftime('%Y-%m')
234		elif period_type == 'yearly':
235		current_datetime = current_datetime_local.strftime('%Y')
236
237		actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \
238		else row_offline_meter_periodically[1]
239
240		reporting['timestamps'].append(current_datetime)
241		reporting['values_in_category'].append(actual_value)
242		reporting['total_in_category'] += actual_value
243		reporting['values_in_kgce'].append(actual_value * offline_meter['kgce'])
244		reporting['total_in_kgce'] += actual_value * offline_meter['kgce']
245		reporting['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e'])
246		reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e']
247
248		if cursor:
249		cursor.close()
250		if cnx:
251		cnx.disconnect()
252
253		################################################################################################################
254		# Step 5: query parameters data
255		################################################################################################################
256		parameters = dict()
257		parameters['names'] = list()
258		parameters['timestamps'] = list()
259		parameters['values'] = list()
260
261		tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'],
262		offline_meter['energy_category_id'],
263		reporting_start_datetime_utc,
264		reporting_end_datetime_utc)
265		print(tariff_dict)
266		tariff_timestamp_list = list()
267		tariff_value_list = list()
268		for k, v in tariff_dict.items():
269		# convert k from utc to local
270		k = k + timedelta(minutes=timezone_offset)
271		tariff_timestamp_list.append(k.isoformat()[0:19])
272		tariff_value_list.append(v)
273
274		parameters['names'].append('TARIFF')
275		parameters['timestamps'].append(tariff_timestamp_list)
276		parameters['values'].append(tariff_value_list)
277
278		################################################################################################################
279		# Step 6: construct the report
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		"reporting_period": {
291		"increment_rate":
292		(reporting['total_in_category'] - base['total_in_category'])/base['total_in_category']
293		if base['total_in_category'] > 0 else None,
294		"total_in_category": reporting['total_in_category'],
295		"total_in_kgce": reporting['total_in_kgce'],
296		"total_in_kgco2e": reporting['total_in_kgco2e'],
297		"timestamps": [reporting['timestamps'],
298		reporting['timestamps'],
299		reporting['timestamps']],
300		"values": [reporting['values_in_category'],
301		reporting['values_in_kgce'],
302		reporting['values_in_kgco2e']],
303		},
304		"base_period": {
305		"total_in_category": base['total_in_category'],
306		"total_in_kgce": base['total_in_kgce'],
307		"total_in_kgco2e": base['total_in_kgco2e'],
308		"timestamps": [base['timestamps'],
309		base['timestamps'],
310		base['timestamps']],
311		"values": [base['values_in_category'],
312		base['values_in_kgce'],
313		base['values_in_kgco2e']],
314		},
315		"parameters": {
316		"names": parameters['names'],
317		"timestamps": parameters['timestamps'],
318		"values": parameters['values']
319		},
320		}
321
322		resp.body = json.dumps(result)
323

myems / myems-api

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reports/offlinemeterenergy.py (1 issue)

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