Issues in metertrend.py (master) - Issues in master - MyEMS/myems - Measure and Improve Code Quality continuously with Scrutinizer

Issues (1588)

myems-api/reports/metertrend.py (1 issue)

Severity

Unknown 1

import re
from datetime import datetime, timedelta, timezone
import falcon
import mysql.connector
import simplejson as json
import config
import excelexporters.metertrend
from core import utilities
from core.useractivity import access_control, api_key_control


class Reporting:
    def __init__(self):
        """"Initializes Reporting"""
        pass

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

    ####################################################################################################################
    # PROCEDURES
    # Step 1: valid parameters
    # Step 2: query the meter and energy category
    # Step 3: query associated points
    # Step 4: query reporting period points trends
    # Step 5: query tariff data
    # Step 6: construct the report
    ####################################################################################################################
    @staticmethod
    def on_get(req, resp):
        if 'API-KEY' not in req.headers or \
                not isinstance(req.headers['API-KEY'], str) or \
                len(str.strip(req.headers['API-KEY'])) == 0:
            access_control(req)
        else:
            api_key_control(req)
        print(req.params)
        meter_id = req.params.get('meterid')
        meter_uuid = req.params.get('meteruuid')
        reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime')
        reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime')
        language = req.params.get('language')
        quick_mode = req.params.get('quickmode')

        ################################################################################################################
        # Step 1: valid parameters
        ################################################################################################################
        if meter_id is None and meter_uuid is None:
            raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID')

        if meter_id is not None:
            meter_id = str.strip(meter_id)
            if not meter_id.isdigit() or int(meter_id) <= 0:
                raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
                                       description='API.INVALID_METER_ID')

        if meter_uuid is not None:
            regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I)
            match = regex.match(str.strip(meter_uuid))
            if not bool(match):
                raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
                                       description='API.INVALID_METER_UUID')

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

        if reporting_period_start_datetime_local is None:
            raise falcon.HTTPError(status=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(status=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)
            # nomalize the start datetime
            if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30:
                reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0)
            else:
                reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0)

        if reporting_period_end_datetime_local is None:
            raise falcon.HTTPError(status=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(status=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(status=falcon.HTTP_400, title='API.BAD_REQUEST',
                                   description='API.INVALID_REPORTING_PERIOD_END_DATETIME')

        # if turn quick mode on, do not return parameters data and excel file
        is_quick_mode = False
        if quick_mode is not None and \
                len(str.strip(quick_mode)) > 0 and \
                str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'):
            is_quick_mode = True

        trans = utilities.get_translation(language)
        trans.install()
        _ = trans.gettext

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

        cnx_historical = mysql.connector.connect(**config.myems_historical_db)
        cursor_historical = cnx_historical.cursor()
        if meter_id is not None:
            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_meters m, tbl_energy_categories ec "
                                  " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,))
            row_meter = cursor_system.fetchone()
        elif meter_uuid is not None:
            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_meters m, tbl_energy_categories ec "
                                  " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid,))
            row_meter = cursor_system.fetchone()

        if row_meter is None:

            if cursor_system:
                cursor_system.close()
            if cnx_system:
                cnx_system.close()

            if cursor_historical:
                cursor_historical.close()
            if cnx_historical:
                cnx_historical.close()
            raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND')
        meter = dict()
        meter['id'] = row_meter[0]
        meter['name'] = row_meter[1]
        meter['cost_center_id'] = row_meter[2]
        meter['energy_category_id'] = row_meter[3]
        meter['energy_category_name'] = row_meter[4]
        meter['unit_of_measure'] = row_meter[5]
        meter['kgce'] = row_meter[6]
        meter['kgco2e'] = row_meter[7]

        ################################################################################################################
        # Step 3: query associated points
        ################################################################################################################
        point_list = list()
        cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type  "
                              " FROM tbl_meters m, tbl_meters_points mp, tbl_points p "
                              " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id "
                              " ORDER BY p.id ", (meter['id'],))
        rows_points = cursor_system.fetchall()
        if rows_points is not None and len(rows_points) > 0:
            for row in rows_points:
                point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]})

        ################################################################################################################
        # Step 4: query reporting period points trends
        ################################################################################################################
        reporting = dict()
        reporting['names'] = list()
        reporting['timestamps'] = list()
        reporting['values'] = list()

        for point in point_list:
            if is_quick_mode and point['object_type'] != 'ENERGY_VALUE':
                continue

            point_value_list = list()
            point_timestamp_list = list()
            if point['object_type'] == 'ENERGY_VALUE':
                query = (" SELECT utc_date_time, actual_value "
                         " FROM tbl_energy_value "
                         " WHERE point_id = %s "
                         "       AND utc_date_time BETWEEN %s AND %s "
                         " ORDER BY utc_date_time ")
                cursor_historical.execute(query, (point['id'],
                                                  reporting_start_datetime_utc,
                                                  reporting_end_datetime_utc))
                rows = cursor_historical.fetchall()

                if rows is not None and len(rows) > 0:
                    for row in rows:
                        current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
                                                 timedelta(minutes=timezone_offset)
                        current_datetime = current_datetime_local.isoformat()[0:19]
                        point_timestamp_list.append(current_datetime)
                        point_value_list.append(row[1])
            elif point['object_type'] == 'ANALOG_VALUE':
                query = (" SELECT utc_date_time, actual_value "
                         " FROM tbl_analog_value "
                         " WHERE point_id = %s "
                         "       AND utc_date_time BETWEEN %s AND %s "
                         " ORDER BY utc_date_time ")
                cursor_historical.execute(query, (point['id'],
                                                  reporting_start_datetime_utc,
                                                  reporting_end_datetime_utc))
                rows = cursor_historical.fetchall()

                if rows is not None and len(rows) > 0:
                    for row in rows:
                        current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
                                                 timedelta(minutes=timezone_offset)
                        current_datetime = current_datetime_local.isoformat()[0:19]
                        point_timestamp_list.append(current_datetime)
                        point_value_list.append(row[1])
            elif point['object_type'] == 'DIGITAL_VALUE':
                query = (" SELECT utc_date_time, actual_value "
                         " FROM tbl_digital_value "
                         " WHERE point_id = %s "
                         "       AND utc_date_time BETWEEN %s AND %s "
                         " ORDER BY utc_date_time ")
                cursor_historical.execute(query, (point['id'],
                                                  reporting_start_datetime_utc,
                                                  reporting_end_datetime_utc))
                rows = cursor_historical.fetchall()

                if rows is not None and len(rows) > 0:
                    for row in rows:
                        current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
                                                 timedelta(minutes=timezone_offset)
                        current_datetime = current_datetime_local.isoformat()[0:19]
                        point_timestamp_list.append(current_datetime)
                        point_value_list.append(row[1])

            reporting['names'].append(point['name'] + ' (' + point['units'] + ')')
            reporting['timestamps'].append(point_timestamp_list)
            reporting['values'].append(point_value_list)

        ################################################################################################################
        # Step 5: query tariff data
        ################################################################################################################
        parameters_data = dict()
        parameters_data['names'] = list()
        parameters_data['timestamps'] = list()
        parameters_data['values'] = list()
        if config.is_tariff_appended and not is_quick_mode:
            tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'],
                                                                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') + '-' + meter['energy_category_name'])
            parameters_data['timestamps'].append(tariff_timestamp_list)
            parameters_data['values'].append(tariff_value_list)

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

        if cursor_historical:
            cursor_historical.close()
        if cnx_historical:
            cnx_historical.close()

        result = {
            "meter": {
                "cost_center_id": meter['cost_center_id'],
                "energy_category_id": meter['energy_category_id'],
                "energy_category_name": meter['energy_category_name'],
                "unit_of_measure": meter['unit_of_measure'],
                "kgce": meter['kgce'],
                "kgco2e": meter['kgco2e'],
            },
            "reporting_period": {
                "names": reporting['names'],
                "timestamps": reporting['timestamps'],
                "values": reporting['values'],
            },
            "parameters": {
                "names": parameters_data['names'],
                "timestamps": parameters_data['timestamps'],
                "values": parameters_data['values']
            },
            "excel_bytes_base64": None
        }
        # export result to Excel file and then encode the file to base64 string
        if not is_quick_mode:
            result['excel_bytes_base64'] = excelexporters.metertrend.export(result,
                                                                            meter['name'],
                                                                            reporting_period_start_datetime_local,
                                                                            reporting_period_end_datetime_local,
                                                                            None,
                                                                            language)

        resp.text = json.dumps(result)


1			import re
2			from datetime import datetime, timedelta, timezone
3			import falcon
4			import mysql.connector
5			import simplejson as json
6			import config
7			import excelexporters.metertrend
8			from core import utilities
9			from core.useractivity import access_control, api_key_control
10
11
12			class Reporting:
13			def __init__(self):
14			""""Initializes Reporting"""
15			pass
16
17			@staticmethod
18			def on_options(req, resp):
19			_ = req
20			resp.status = falcon.HTTP_200
21
22			####################################################################################################################
23			# PROCEDURES
24			# Step 1: valid parameters
25			# Step 2: query the meter and energy category
26			# Step 3: query associated points
27			# Step 4: query reporting period points trends
28			# Step 5: query tariff data
29			# Step 6: construct the report
30			####################################################################################################################
31			@staticmethod
32			def on_get(req, resp):
33			if 'API-KEY' not in req.headers or \
34			not isinstance(req.headers['API-KEY'], str) or \
35			len(str.strip(req.headers['API-KEY'])) == 0:
36			access_control(req)
37			else:
38			api_key_control(req)
39			print(req.params)
40			meter_id = req.params.get('meterid')
41			meter_uuid = req.params.get('meteruuid')
42			reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime')
43			reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime')
44			language = req.params.get('language')
45			quick_mode = req.params.get('quickmode')
46
47			################################################################################################################
48			# Step 1: valid parameters
49			################################################################################################################
50			if meter_id is None and meter_uuid is None:
51			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID')
52
53			if meter_id is not None:
54			meter_id = str.strip(meter_id)
55			if not meter_id.isdigit() or int(meter_id) <= 0:
56			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
57			description='API.INVALID_METER_ID')
58
59			if meter_uuid is not None:
60			regex = re.compile(r'^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I)
61			match = regex.match(str.strip(meter_uuid))
62			if not bool(match):
63			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
64			description='API.INVALID_METER_UUID')
65
66			timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6])
67			if config.utc_offset[0] == '-':
68			timezone_offset = -timezone_offset
69
70			if reporting_period_start_datetime_local is None:
71			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
72			description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
73			else:
74			reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local)
75			try:
76			reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local,
77			'%Y-%m-%dT%H:%M:%S')
78			except ValueError:
79			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
80			description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
81			reporting_start_datetime_utc = \
82			reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset)
83			# nomalize the start datetime
84			if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30:
85			reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0)
86			else:
87			reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0)
88
89			if reporting_period_end_datetime_local is None:
90			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
91			description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
92			else:
93			reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local)
94			try:
95			reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local,
96			'%Y-%m-%dT%H:%M:%S')
97			except ValueError:
98			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
99			description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
100			reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \
101			timedelta(minutes=timezone_offset)
102
103			if reporting_start_datetime_utc >= reporting_end_datetime_utc:
104			raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST',
105			description='API.INVALID_REPORTING_PERIOD_END_DATETIME')
106
107			# if turn quick mode on, do not return parameters data and excel file
108			is_quick_mode = False
109			if quick_mode is not None and \
110			len(str.strip(quick_mode)) > 0 and \
111			str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'):
112			is_quick_mode = True
113
114			trans = utilities.get_translation(language)
115			trans.install()
116			_ = trans.gettext
117
118			################################################################################################################
119			# Step 2: query the meter and energy category
120			################################################################################################################
121			cnx_system = mysql.connector.connect(**config.myems_system_db)
122			cursor_system = cnx_system.cursor()
123
124			cnx_historical = mysql.connector.connect(**config.myems_historical_db)
125			cursor_historical = cnx_historical.cursor()
126			if meter_id is not None:
127			cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
128			" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
129			" FROM tbl_meters m, tbl_energy_categories ec "
130			" WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,))
131			row_meter = cursor_system.fetchone()
132			elif meter_uuid is not None:
133			cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, "
134			" ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e "
135			" FROM tbl_meters m, tbl_energy_categories ec "
136			" WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid,))
137			row_meter = cursor_system.fetchone()
138
139			if row_meter is None:
			0 ignored issues – show introduced 2022-01-18 14:12 UTC by Report Bug Copy Issue Report Show Similar Issues like this The variable `row_meter` does not seem to be defined for all execution paths. Loading history...
140			if cursor_system:
141			cursor_system.close()
142			if cnx_system:
143			cnx_system.close()
144
145			if cursor_historical:
146			cursor_historical.close()
147			if cnx_historical:
148			cnx_historical.close()
149			raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND')
150			meter = dict()
151			meter['id'] = row_meter[0]
152			meter['name'] = row_meter[1]
153			meter['cost_center_id'] = row_meter[2]
154			meter['energy_category_id'] = row_meter[3]
155			meter['energy_category_name'] = row_meter[4]
156			meter['unit_of_measure'] = row_meter[5]
157			meter['kgce'] = row_meter[6]
158			meter['kgco2e'] = row_meter[7]
159
160			################################################################################################################
161			# Step 3: query associated points
162			################################################################################################################
163			point_list = list()
164			cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type "
165			" FROM tbl_meters m, tbl_meters_points mp, tbl_points p "
166			" WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id "
167			" ORDER BY p.id ", (meter['id'],))
168			rows_points = cursor_system.fetchall()
169			if rows_points is not None and len(rows_points) > 0:
170			for row in rows_points:
171			point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]})
172
173			################################################################################################################
174			# Step 4: query reporting period points trends
175			################################################################################################################
176			reporting = dict()
177			reporting['names'] = list()
178			reporting['timestamps'] = list()
179			reporting['values'] = list()
180
181			for point in point_list:
182			if is_quick_mode and point['object_type'] != 'ENERGY_VALUE':
183			continue
184
185			point_value_list = list()
186			point_timestamp_list = list()
187			if point['object_type'] == 'ENERGY_VALUE':
188			query = (" SELECT utc_date_time, actual_value "
189			" FROM tbl_energy_value "
190			" WHERE point_id = %s "
191			" AND utc_date_time BETWEEN %s AND %s "
192			" ORDER BY utc_date_time ")
193			cursor_historical.execute(query, (point['id'],
194			reporting_start_datetime_utc,
195			reporting_end_datetime_utc))
196			rows = cursor_historical.fetchall()
197
198			if rows is not None and len(rows) > 0:
199			for row in rows:
200			current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
201			timedelta(minutes=timezone_offset)
202			current_datetime = current_datetime_local.isoformat()[0:19]
203			point_timestamp_list.append(current_datetime)
204			point_value_list.append(row[1])
205			elif point['object_type'] == 'ANALOG_VALUE':
206			query = (" SELECT utc_date_time, actual_value "
207			" FROM tbl_analog_value "
208			" WHERE point_id = %s "
209			" AND utc_date_time BETWEEN %s AND %s "
210			" ORDER BY utc_date_time ")
211			cursor_historical.execute(query, (point['id'],
212			reporting_start_datetime_utc,
213			reporting_end_datetime_utc))
214			rows = cursor_historical.fetchall()
215
216			if rows is not None and len(rows) > 0:
217			for row in rows:
218			current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
219			timedelta(minutes=timezone_offset)
220			current_datetime = current_datetime_local.isoformat()[0:19]
221			point_timestamp_list.append(current_datetime)
222			point_value_list.append(row[1])
223			elif point['object_type'] == 'DIGITAL_VALUE':
224			query = (" SELECT utc_date_time, actual_value "
225			" FROM tbl_digital_value "
226			" WHERE point_id = %s "
227			" AND utc_date_time BETWEEN %s AND %s "
228			" ORDER BY utc_date_time ")
229			cursor_historical.execute(query, (point['id'],
230			reporting_start_datetime_utc,
231			reporting_end_datetime_utc))
232			rows = cursor_historical.fetchall()
233
234			if rows is not None and len(rows) > 0:
235			for row in rows:
236			current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \
237			timedelta(minutes=timezone_offset)
238			current_datetime = current_datetime_local.isoformat()[0:19]
239			point_timestamp_list.append(current_datetime)
240			point_value_list.append(row[1])
241
242			reporting['names'].append(point['name'] + ' (' + point['units'] + ')')
243			reporting['timestamps'].append(point_timestamp_list)
244			reporting['values'].append(point_value_list)
245
246			################################################################################################################
247			# Step 5: query tariff data
248			################################################################################################################
249			parameters_data = dict()
250			parameters_data['names'] = list()
251			parameters_data['timestamps'] = list()
252			parameters_data['values'] = list()
253			if config.is_tariff_appended and not is_quick_mode:
254			tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'],
255			meter['energy_category_id'],
256			reporting_start_datetime_utc,
257			reporting_end_datetime_utc)
258			tariff_timestamp_list = list()
259			tariff_value_list = list()
260			for k, v in tariff_dict.items():
261			# convert k from utc to local
262			k = k + timedelta(minutes=timezone_offset)
263			tariff_timestamp_list.append(k.isoformat()[0:19])
264			tariff_value_list.append(v)
265
266			parameters_data['names'].append(_('Tariff') + '-' + meter['energy_category_name'])
267			parameters_data['timestamps'].append(tariff_timestamp_list)
268			parameters_data['values'].append(tariff_value_list)
269
270			################################################################################################################
271			# Step 6: construct the report
272			################################################################################################################
273			if cursor_system:
274			cursor_system.close()
275			if cnx_system:
276			cnx_system.close()
277
278			if cursor_historical:
279			cursor_historical.close()
280			if cnx_historical:
281			cnx_historical.close()
282
283			result = {
284			"meter": {
285			"cost_center_id": meter['cost_center_id'],
286			"energy_category_id": meter['energy_category_id'],
287			"energy_category_name": meter['energy_category_name'],
288			"unit_of_measure": meter['unit_of_measure'],
289			"kgce": meter['kgce'],
290			"kgco2e": meter['kgco2e'],
291			},
292			"reporting_period": {
293			"names": reporting['names'],
294			"timestamps": reporting['timestamps'],
295			"values": reporting['values'],
296			},
297			"parameters": {
298			"names": parameters_data['names'],
299			"timestamps": parameters_data['timestamps'],
300			"values": parameters_data['values']
301			},
302			"excel_bytes_base64": None
303			}
304			# export result to Excel file and then encode the file to base64 string
305			if not is_quick_mode:
306			result['excel_bytes_base64'] = excelexporters.metertrend.export(result,
307			meter['name'],
308			reporting_period_start_datetime_local,
309			reporting_period_end_datetime_local,
310			None,
311			language)
312
313			resp.text = json.dumps(result)
314

MyEMS / myems

Issues (1588)

myems-api/reports/metertrend.py (1 issue)

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