MyEMS /
myems
| Total Complexity | 75 |
| Total Lines | 537 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
Complex classes like reports.virtualmetersaving often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import re |
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| 2 | import falcon |
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| 3 | import simplejson as json |
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| 4 | import mysql.connector |
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| 5 | import config |
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| 6 | from datetime import datetime, timedelta, timezone |
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| 7 | from core import utilities |
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| 8 | from decimal import Decimal |
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| 9 | import excelexporters.virtualmetersaving |
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| 10 | |||
| 11 | |||
| 12 | class Reporting: |
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| 13 | @staticmethod |
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| 14 | def __init__(): |
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| 15 | """Initializes Class""" |
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| 16 | pass |
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| 17 | |||
| 18 | @staticmethod |
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| 19 | def on_options(req, resp): |
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| 20 | resp.status = falcon.HTTP_200 |
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| 21 | |||
| 22 | #################################################################################################################### |
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| 23 | # PROCEDURES |
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| 24 | # Step 1: valid parameters |
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| 25 | # Step 2: query the meter and energy category |
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| 26 | # Step 3: query base period energy saving |
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| 27 | # Step 4: query reporting period energy saving |
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| 28 | # Step 5: query tariff data |
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| 29 | # Step 6: construct the report |
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| 30 | #################################################################################################################### |
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| 31 | @staticmethod |
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| 32 | def on_get(req, resp): |
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| 33 | print(req.params) |
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| 34 | virtual_meter_id = req.params.get('virtualmeterid') |
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| 35 | virtual_meter_uuid = req.params.get('virtualmeteruuid') |
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| 36 | period_type = req.params.get('periodtype') |
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| 37 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 38 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 39 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 40 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 41 | |||
| 42 | ################################################################################################################ |
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| 43 | # Step 1: valid parameters |
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| 44 | ################################################################################################################ |
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| 45 | if virtual_meter_id is None and virtual_meter_id is None: |
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| 46 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 47 | title='API.BAD_REQUEST', |
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| 48 | description='API.INVALID_VIRTUAL_METER_ID') |
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| 49 | |||
| 50 | if virtual_meter_id is not None: |
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| 51 | virtual_meter_id = str.strip(virtual_meter_id) |
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| 52 | if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0: |
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| 53 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 54 | title='API.BAD_REQUEST', |
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| 55 | description='API.INVALID_VIRTUAL_METER_ID') |
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| 56 | |||
| 57 | if virtual_meter_uuid is not None: |
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| 58 | regex = re.compile('^[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) |
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| 59 | match = regex.match(str.strip(virtual_meter_uuid)) |
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| 60 | if not bool(match): |
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| 61 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 62 | title='API.BAD_REQUEST', |
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| 63 | description='API.INVALID_VIRTUAL_METER_UUID') |
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| 64 | |||
| 65 | if period_type is None: |
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| 66 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 67 | else: |
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| 68 | period_type = str.strip(period_type) |
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| 69 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 70 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 71 | |||
| 72 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 73 | if config.utc_offset[0] == '-': |
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| 74 | timezone_offset = -timezone_offset |
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| 75 | |||
| 76 | base_start_datetime_utc = None |
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| 77 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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| 78 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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| 79 | try: |
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| 80 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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| 81 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 82 | timedelta(minutes=timezone_offset) |
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| 83 | except ValueError: |
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| 84 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 85 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 86 | |||
| 87 | base_end_datetime_utc = None |
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| 88 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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| 89 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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| 90 | try: |
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| 91 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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| 92 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 93 | timedelta(minutes=timezone_offset) |
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| 94 | except ValueError: |
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| 95 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 96 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 97 | |||
| 98 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 99 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 100 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 101 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 102 | |||
| 103 | if reporting_start_datetime_local is None: |
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| 104 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 105 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 106 | else: |
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| 107 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 108 | try: |
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| 109 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 110 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 111 | timedelta(minutes=timezone_offset) |
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| 112 | except ValueError: |
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| 113 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 114 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 115 | |||
| 116 | if reporting_end_datetime_local is None: |
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| 117 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 118 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 119 | else: |
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| 120 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 121 | try: |
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| 122 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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| 123 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 124 | timedelta(minutes=timezone_offset) |
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| 125 | except ValueError: |
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| 126 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 127 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 128 | |||
| 129 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 130 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 131 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 132 | |||
| 133 | ################################################################################################################ |
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| 134 | # Step 2: query the meter and energy category |
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| 135 | ################################################################################################################ |
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| 136 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 137 | cursor_system = cnx_system.cursor() |
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| 138 | |||
| 139 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 140 | cursor_energy = cnx_energy.cursor() |
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| 141 | |||
| 142 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
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| 143 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
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| 144 | |||
| 145 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 146 | cursor_historical = cnx_historical.cursor() |
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| 147 | if virtual_meter_id is not None: |
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| 148 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 149 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 150 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
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| 151 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,)) |
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| 152 | row_virtual_meter = cursor_system.fetchone() |
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| 153 | elif virtual_meter_uuid is not None: |
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| 154 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 155 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 156 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
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| 157 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (virtual_meter_uuid,)) |
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| 158 | row_virtual_meter = cursor_system.fetchone() |
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| 159 | |||
| 160 | if row_virtual_meter is None: |
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|
introduced
by
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| 161 | if cursor_system: |
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| 162 | cursor_system.close() |
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| 163 | if cnx_system: |
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| 164 | cnx_system.close() |
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| 165 | |||
| 166 | if cursor_energy: |
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| 167 | cursor_energy.close() |
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| 168 | if cnx_energy: |
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| 169 | cnx_energy.close() |
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| 170 | |||
| 171 | if cursor_energy_baseline: |
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| 172 | cursor_energy_baseline.close() |
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| 173 | if cnx_energy_baseline: |
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| 174 | cnx_energy_baseline.close() |
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| 175 | |||
| 176 | if cursor_historical: |
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| 177 | cursor_historical.close() |
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| 178 | if cnx_historical: |
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| 179 | cnx_historical.close() |
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| 180 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.VIRTUAL_METER_NOT_FOUND') |
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| 181 | |||
| 182 | virtual_meter = dict() |
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| 183 | virtual_meter['id'] = row_virtual_meter[0] |
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| 184 | virtual_meter['name'] = row_virtual_meter[1] |
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| 185 | virtual_meter['cost_center_id'] = row_virtual_meter[2] |
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| 186 | virtual_meter['energy_category_id'] = row_virtual_meter[3] |
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| 187 | virtual_meter['energy_category_name'] = row_virtual_meter[4] |
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| 188 | virtual_meter['unit_of_measure'] = row_virtual_meter[5] |
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| 189 | virtual_meter['kgce'] = row_virtual_meter[6] |
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| 190 | virtual_meter['kgco2e'] = row_virtual_meter[7] |
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| 191 | ################################################################################################################ |
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| 192 | # Step 3: query base period energy saving |
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| 193 | ################################################################################################################ |
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| 194 | kgce = virtual_meter['kgce'] |
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| 195 | kgco2e = virtual_meter['kgco2e'] |
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| 196 | base = dict() |
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| 197 | base['timestamps'] = list() |
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| 198 | base['values_baseline'] = list() |
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| 199 | base['values_actual'] = list() |
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| 200 | base['values_saving'] = list() |
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| 201 | base['subtotal_baseline'] = Decimal(0.0) |
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| 202 | base['subtotal_actual'] = Decimal(0.0) |
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| 203 | base['subtotal_saving'] = Decimal(0.0) |
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| 204 | base['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 205 | base['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 206 | base['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 207 | base['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 208 | base['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 209 | base['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 210 | # query base period's energy baseline |
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| 211 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 212 | " FROM tbl_virtual_meter_hourly " |
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| 213 | " WHERE virtual_meter_id = %s " |
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| 214 | " AND start_datetime_utc >= %s " |
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| 215 | " AND start_datetime_utc < %s " |
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| 216 | " ORDER BY start_datetime_utc ", |
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| 217 | (virtual_meter['id'], |
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| 218 | base_start_datetime_utc, |
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| 219 | base_end_datetime_utc)) |
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| 220 | rows_virtual_meter_hourly = cursor_energy_baseline.fetchall() |
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| 221 | |||
| 222 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 223 | base_start_datetime_utc, |
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| 224 | base_end_datetime_utc, |
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| 225 | period_type) |
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| 226 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 227 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 228 | timedelta(minutes=timezone_offset) |
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| 229 | if period_type == 'hourly': |
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| 230 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 231 | elif period_type == 'daily': |
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| 232 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 233 | elif period_type == 'weekly': |
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| 234 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 235 | elif period_type == 'monthly': |
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| 236 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 237 | elif period_type == 'yearly': |
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| 238 | current_datetime = current_datetime_local.strftime('%Y') |
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| 239 | |||
| 240 | baseline_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
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| 241 | base['timestamps'].append(current_datetime) |
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| 242 | base['values_baseline'].append(baseline_value) |
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| 243 | base['subtotal_baseline'] += baseline_value |
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| 244 | base['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 245 | base['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 246 | |||
| 247 | # query base period's energy actual |
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| 248 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 249 | " FROM tbl_virtual_meter_hourly " |
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| 250 | " WHERE virtual_meter_id = %s " |
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| 251 | " AND start_datetime_utc >= %s " |
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| 252 | " AND start_datetime_utc < %s " |
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| 253 | " ORDER BY start_datetime_utc ", |
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| 254 | (virtual_meter['id'], |
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| 255 | base_start_datetime_utc, |
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| 256 | base_end_datetime_utc)) |
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| 257 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
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| 258 | |||
| 259 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 260 | base_start_datetime_utc, |
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| 261 | base_end_datetime_utc, |
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| 262 | period_type) |
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| 263 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 264 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 265 | timedelta(minutes=timezone_offset) |
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| 266 | if period_type == 'hourly': |
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| 267 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 268 | elif period_type == 'daily': |
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| 269 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 270 | elif period_type == 'weekly': |
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| 271 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 272 | elif period_type == 'monthly': |
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| 273 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 274 | elif period_type == 'yearly': |
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| 275 | current_datetime = current_datetime_local.strftime('%Y') |
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| 276 | |||
| 277 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
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| 278 | base['values_actual'].append(actual_value) |
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| 279 | base['subtotal_actual'] += actual_value |
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| 280 | base['subtotal_in_kgce_actual'] += actual_value * kgce |
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| 281 | base['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
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| 282 | # calculate base period's energy savings |
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| 283 | for i in range(len(base['values_baseline'])): |
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| 284 | base['values_saving'].append( |
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| 285 | base['values_baseline'][i] - |
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| 286 | base['values_actual'][i]) |
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| 287 | |||
| 288 | base['subtotal_saving'] = \ |
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| 289 | base['subtotal_baseline'] - \ |
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| 290 | base['subtotal_actual'] |
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| 291 | base['subtotal_in_kgce_saving'] = \ |
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| 292 | base['subtotal_in_kgce_baseline'] - \ |
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| 293 | base['subtotal_in_kgce_actual'] |
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| 294 | base['subtotal_in_kgco2e_saving'] = \ |
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| 295 | base['subtotal_in_kgco2e_baseline'] - \ |
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| 296 | base['subtotal_in_kgco2e_actual'] |
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| 297 | ################################################################################################################ |
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| 298 | # Step 4: query reporting period energy saving |
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| 299 | ################################################################################################################ |
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| 300 | reporting = dict() |
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| 301 | kgce = virtual_meter['kgce'] |
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| 302 | kgco2e = virtual_meter['kgco2e'] |
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| 303 | |||
| 304 | reporting = dict() |
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| 305 | reporting['timestamps'] = list() |
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| 306 | reporting['values_baseline'] = list() |
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| 307 | reporting['values_actual'] = list() |
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| 308 | reporting['values_saving'] = list() |
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| 309 | reporting['subtotal_baseline'] = Decimal(0.0) |
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| 310 | reporting['subtotal_actual'] = Decimal(0.0) |
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| 311 | reporting['subtotal_saving'] = Decimal(0.0) |
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| 312 | reporting['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 313 | reporting['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 314 | reporting['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 315 | reporting['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 316 | reporting['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 317 | reporting['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 318 | # query reporting period's energy baseline |
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| 319 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 320 | " FROM tbl_virtual_meter_hourly " |
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| 321 | " WHERE virtual_meter_id = %s " |
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| 322 | " AND start_datetime_utc >= %s " |
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| 323 | " AND start_datetime_utc < %s " |
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| 324 | " ORDER BY start_datetime_utc ", |
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| 325 | (virtual_meter['id'], |
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| 326 | reporting_start_datetime_utc, |
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| 327 | reporting_end_datetime_utc)) |
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| 328 | rows_virtual_meter_hourly = cursor_energy_baseline.fetchall() |
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| 329 | |||
| 330 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 331 | reporting_start_datetime_utc, |
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| 332 | reporting_end_datetime_utc, |
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| 333 | period_type) |
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| 334 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 335 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 336 | timedelta(minutes=timezone_offset) |
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| 337 | if period_type == 'hourly': |
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| 338 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 339 | elif period_type == 'daily': |
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| 340 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 341 | elif period_type == 'weekly': |
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| 342 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 343 | elif period_type == 'monthly': |
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| 344 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 345 | elif period_type == 'yearly': |
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| 346 | current_datetime = current_datetime_local.strftime('%Y') |
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| 347 | |||
| 348 | baseline_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
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| 349 | reporting['timestamps'].append(current_datetime) |
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| 350 | reporting['values_baseline'].append(baseline_value) |
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| 351 | reporting['subtotal_baseline'] += baseline_value |
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| 352 | reporting['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 353 | reporting['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 354 | |||
| 355 | # query reporting period's energy actual |
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| 356 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 357 | " FROM tbl_virtual_meter_hourly " |
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| 358 | " WHERE virtual_meter_id = %s " |
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| 359 | " AND start_datetime_utc >= %s " |
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| 360 | " AND start_datetime_utc < %s " |
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| 361 | " ORDER BY start_datetime_utc ", |
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| 362 | (virtual_meter['id'], |
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| 363 | reporting_start_datetime_utc, |
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| 364 | reporting_end_datetime_utc)) |
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| 365 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
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| 366 | |||
| 367 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 368 | reporting_start_datetime_utc, |
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| 369 | reporting_end_datetime_utc, |
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| 370 | period_type) |
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| 371 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 372 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
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| 373 | reporting['values_actual'].append(actual_value) |
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| 374 | reporting['subtotal_actual'] += actual_value |
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| 375 | reporting['subtotal_in_kgce_actual'] += actual_value * kgce |
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| 376 | reporting['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
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| 377 | |||
| 378 | # calculate reporting period's energy savings |
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| 379 | for i in range(len(reporting['values_baseline'])): |
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| 380 | reporting['values_saving'].append( |
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| 381 | reporting['values_baseline'][i] - |
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| 382 | reporting['values_actual'][i]) |
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| 383 | |||
| 384 | reporting['subtotal_saving'] = \ |
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| 385 | reporting['subtotal_baseline'] - \ |
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| 386 | reporting['subtotal_actual'] |
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| 387 | reporting['subtotal_in_kgce_saving'] = \ |
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| 388 | reporting['subtotal_in_kgce_baseline'] - \ |
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| 389 | reporting['subtotal_in_kgce_actual'] |
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| 390 | reporting['subtotal_in_kgco2e_saving'] = \ |
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| 391 | reporting['subtotal_in_kgco2e_baseline'] - \ |
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| 392 | reporting['subtotal_in_kgco2e_actual'] |
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| 393 | ################################################################################################################ |
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| 394 | # Step 5: query tariff data |
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| 395 | ################################################################################################################ |
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| 396 | parameters_data = dict() |
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| 397 | parameters_data['names'] = list() |
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| 398 | parameters_data['timestamps'] = list() |
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| 399 | parameters_data['values'] = list() |
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| 400 | energy_category_id = virtual_meter['energy_category_id'] |
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| 401 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'], |
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| 402 | energy_category_id, |
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| 403 | reporting_start_datetime_utc, |
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| 404 | reporting_end_datetime_utc) |
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| 405 | tariff_timestamp_list = list() |
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| 406 | tariff_value_list = list() |
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| 407 | for key, value in energy_category_tariff_dict.items(): |
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| 408 | # convert k from utc to local |
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| 409 | key = key + timedelta(minutes=timezone_offset) |
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| 410 | tariff_timestamp_list.append(key.isoformat()[0:19][0:19]) |
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| 411 | tariff_value_list.append(value) |
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| 412 | |||
| 413 | parameters_data['names'].append('TARIFF-' + virtual_meter['name']) |
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| 414 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 415 | parameters_data['values'].append(tariff_value_list) |
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| 416 | ################################################################################################################ |
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| 417 | # Step6 : construct the report |
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| 418 | ################################################################################################################ |
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| 419 | if cursor_system: |
||
| 420 | cursor_system.close() |
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| 421 | if cnx_system: |
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| 422 | cnx_system.close() |
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| 423 | |||
| 424 | if cursor_energy: |
||
| 425 | cursor_energy.close() |
||
| 426 | if cnx_energy: |
||
| 427 | cnx_energy.close() |
||
| 428 | |||
| 429 | if cursor_energy_baseline: |
||
| 430 | cursor_energy_baseline.close() |
||
| 431 | if cnx_energy_baseline: |
||
| 432 | cnx_energy_baseline.close() |
||
| 433 | |||
| 434 | if cursor_historical: |
||
| 435 | cursor_historical.close() |
||
| 436 | if cnx_historical: |
||
| 437 | cnx_historical.close() |
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| 438 | |||
| 439 | result = dict() |
||
| 440 | |||
| 441 | result['meter'] = dict() |
||
| 442 | result['meter']['name'] = virtual_meter['name'] |
||
| 443 | |||
| 444 | result['base_period'] = dict() |
||
| 445 | result['base_period']['names'] = list() |
||
| 446 | result['base_period']['units'] = list() |
||
| 447 | result['base_period']['timestamps'] = list() |
||
| 448 | result['base_period']['values_actual'] = list() |
||
| 449 | result['base_period']['values_baseline'] = list() |
||
| 450 | result['base_period']['values_saving'] = list() |
||
| 451 | result['base_period']['subtotals_actual'] = list() |
||
| 452 | result['base_period']['subtotals_baseline'] = list() |
||
| 453 | result['base_period']['subtotals_saving'] = list() |
||
| 454 | result['base_period']['subtotals_in_kgce_saving'] = list() |
||
| 455 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 456 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 457 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 458 | |||
| 459 | result['base_period']['names'] = virtual_meter['name'] |
||
| 460 | result['base_period']['units'] = virtual_meter['unit_of_measure'] |
||
| 461 | result['base_period']['timestamps'] = base['timestamps'] |
||
| 462 | result['base_period']['values_actual'] = base['values_actual'] |
||
| 463 | result['base_period']['values_baseline'] = base['values_baseline'] |
||
| 464 | result['base_period']['values_saving'] = base['values_saving'] |
||
| 465 | result['base_period']['subtotals_actual'] = base['subtotal_actual'] |
||
| 466 | result['base_period']['subtotals_baseline'] = base['subtotal_baseline'] |
||
| 467 | result['base_period']['subtotals_saving'] = base['subtotal_saving'] |
||
| 468 | result['base_period']['subtotals_in_kgce_saving'] = base['subtotal_in_kgce_saving'] |
||
| 469 | result['base_period']['subtotals_in_kgco2e_saving'] = base['subtotal_in_kgco2e_saving'] |
||
| 470 | result['base_period']['total_in_kgce_saving'] += base['subtotal_in_kgce_saving'] |
||
| 471 | result['base_period']['total_in_kgco2e_saving'] += base['subtotal_in_kgco2e_saving'] |
||
| 472 | |||
| 473 | result['reporting_period'] = dict() |
||
| 474 | result['reporting_period']['names'] = list() |
||
| 475 | result['reporting_period']['energy_category_ids'] = list() |
||
| 476 | result['reporting_period']['units'] = list() |
||
| 477 | result['reporting_period']['timestamps'] = list() |
||
| 478 | result['reporting_period']['values_actual'] = list() |
||
| 479 | result['reporting_period']['values_baseline'] = list() |
||
| 480 | result['reporting_period']['values_saving'] = list() |
||
| 481 | result['reporting_period']['subtotals_actual'] = list() |
||
| 482 | result['reporting_period']['subtotals_baseline'] = list() |
||
| 483 | result['reporting_period']['subtotals_saving'] = list() |
||
| 484 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
||
| 485 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 486 | result['reporting_period']['increment_rates_saving'] = list() |
||
| 487 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 488 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 489 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
||
| 490 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
||
| 491 | |||
| 492 | result['reporting_period']['names'] = virtual_meter['name'] |
||
| 493 | result['reporting_period']['energy_category_ids'] = energy_category_id |
||
| 494 | result['reporting_period']['units'] = virtual_meter['unit_of_measure'] |
||
| 495 | result['reporting_period']['timestamps'] = reporting['timestamps'] |
||
| 496 | result['reporting_period']['values_actual'] = reporting['values_actual'] |
||
| 497 | result['reporting_period']['values_baseline'] = reporting['values_baseline'] |
||
| 498 | result['reporting_period']['values_saving'] = reporting['values_saving'] |
||
| 499 | result['reporting_period']['subtotals_actual'] = reporting['subtotal_actual'] |
||
| 500 | result['reporting_period']['subtotals_baseline'] = reporting['subtotal_baseline'] |
||
| 501 | result['reporting_period']['subtotals_saving'] = reporting['subtotal_saving'] |
||
| 502 | result['reporting_period']['subtotals_in_kgce_saving'] = reporting['subtotal_in_kgce_saving'] |
||
| 503 | result['reporting_period']['subtotals_in_kgco2e_saving'] = reporting['subtotal_in_kgco2e_saving'] |
||
| 504 | result['reporting_period']['increment_rates_saving'] = ( |
||
| 505 | (reporting['subtotal_saving'] - base['subtotal_saving']) / |
||
| 506 | base['subtotal_saving'] |
||
| 507 | if base['subtotal_saving'] > 0.0 else None) |
||
| 508 | result['reporting_period']['total_in_kgce_saving'] += \ |
||
| 509 | reporting['subtotal_in_kgce_saving'] |
||
| 510 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
||
| 511 | reporting['subtotal_in_kgco2e_saving'] |
||
| 512 | |||
| 513 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
||
| 514 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
||
| 515 | result['base_period']['total_in_kgce_saving'] \ |
||
| 516 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
||
| 517 | |||
| 518 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
||
| 519 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
||
| 520 | result['base_period']['total_in_kgco2e_saving'] \ |
||
| 521 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
||
| 522 | |||
| 523 | result['parameters'] = { |
||
| 524 | "names": parameters_data['names'], |
||
| 525 | "timestamps": parameters_data['timestamps'], |
||
| 526 | "values": parameters_data['values'] |
||
| 527 | } |
||
| 528 | |||
| 529 | # export result to Excel file and then encode the file to base64 string |
||
| 530 | result['excel_bytes_base64'] = excelexporters.virtualmetersaving.export(result, |
||
| 531 | virtual_meter['name'], |
||
| 532 | reporting_start_datetime_local, |
||
| 533 | reporting_end_datetime_local, |
||
| 534 | period_type) |
||
| 535 | |||
| 536 | resp.text = json.dumps(result) |
||
| 537 |
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