myems /
myems-api
| Total Complexity | 74 |
| Total Lines | 477 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
Complex classes like reports.metercost 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 falcon |
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| 2 | import simplejson as json |
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| 3 | import mysql.connector |
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| 4 | import config |
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| 5 | from datetime import datetime, timedelta, timezone |
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| 6 | from core import utilities |
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| 7 | from decimal import Decimal |
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| 8 | import excelexporters.metercost |
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| 9 | |||
| 10 | |||
| 11 | class Reporting: |
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| 12 | @staticmethod |
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| 13 | def __init__(): |
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| 14 | pass |
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| 15 | |||
| 16 | @staticmethod |
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| 17 | def on_options(req, resp): |
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| 18 | resp.status = falcon.HTTP_200 |
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| 19 | |||
| 20 | #################################################################################################################### |
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| 21 | # PROCEDURES |
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| 22 | # Step 1: valid parameters |
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| 23 | # Step 2: query the meter and energy category |
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| 24 | # Step 3: query associated points |
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| 25 | # Step 4: query base period energy consumption |
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| 26 | # Step 5: query base period energy cost |
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| 27 | # Step 6: query reporting period energy consumption |
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| 28 | # Step 7: query reporting period energy cost |
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| 29 | # Step 8: query tariff data |
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| 30 | # Step 9: query associated points data |
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| 31 | # Step 10: construct the report |
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| 32 | #################################################################################################################### |
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| 33 | @staticmethod |
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| 34 | def on_get(req, resp): |
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| 35 | print(req.params) |
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| 36 | meter_id = req.params.get('meterid') |
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| 37 | period_type = req.params.get('periodtype') |
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| 38 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 39 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 40 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 41 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 42 | |||
| 43 | ################################################################################################################ |
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| 44 | # Step 1: valid parameters |
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| 45 | ################################################################################################################ |
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| 46 | if meter_id is None: |
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| 47 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 48 | title='API.BAD_REQUEST', |
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| 49 | description='API.INVALID_METER_ID') |
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| 50 | else: |
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| 51 | meter_id = str.strip(meter_id) |
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| 52 | if not meter_id.isdigit() or int(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_METER_ID') |
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| 56 | |||
| 57 | if period_type is None: |
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| 58 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 59 | else: |
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| 60 | period_type = str.strip(period_type) |
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| 61 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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| 62 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 63 | |||
| 64 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 65 | if config.utc_offset[0] == '-': |
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| 66 | timezone_offset = -timezone_offset |
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| 67 | |||
| 68 | base_start_datetime_utc = None |
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| 69 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 70 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 71 | try: |
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| 72 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 73 | except ValueError: |
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| 74 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 75 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 76 | base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 77 | timedelta(minutes=timezone_offset) |
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| 78 | |||
| 79 | base_end_datetime_utc = None |
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| 80 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 81 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 82 | try: |
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| 83 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 84 | except ValueError: |
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| 85 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 86 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 87 | base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 88 | timedelta(minutes=timezone_offset) |
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| 89 | |||
| 90 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 91 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 92 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 93 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 94 | |||
| 95 | if reporting_period_start_datetime_local is None: |
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| 96 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 97 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 98 | else: |
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| 99 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 100 | try: |
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| 101 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 102 | '%Y-%m-%dT%H:%M:%S') |
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| 103 | except ValueError: |
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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 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 107 | timedelta(minutes=timezone_offset) |
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| 108 | |||
| 109 | if reporting_period_end_datetime_local is None: |
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| 110 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 111 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 112 | else: |
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| 113 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 114 | try: |
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| 115 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 116 | '%Y-%m-%dT%H:%M:%S') |
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| 117 | except ValueError: |
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| 118 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 119 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 120 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 121 | timedelta(minutes=timezone_offset) |
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| 122 | |||
| 123 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 124 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 125 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 126 | |||
| 127 | ################################################################################################################ |
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| 128 | # Step 2: query the meter and energy category |
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| 129 | ################################################################################################################ |
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| 130 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 131 | cursor_system = cnx_system.cursor() |
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| 132 | |||
| 133 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 134 | cursor_energy = cnx_energy.cursor() |
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| 135 | |||
| 136 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
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| 137 | cursor_billing = cnx_billing.cursor() |
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| 138 | |||
| 139 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 140 | cursor_historical = cnx_historical.cursor() |
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| 141 | |||
| 142 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 143 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 144 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 145 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,)) |
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| 146 | row_meter = cursor_system.fetchone() |
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| 147 | if row_meter is None: |
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| 148 | if cursor_system: |
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| 149 | cursor_system.close() |
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| 150 | if cnx_system: |
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| 151 | cnx_system.disconnect() |
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| 152 | |||
| 153 | if cursor_energy: |
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| 154 | cursor_energy.close() |
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| 155 | if cnx_energy: |
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| 156 | cnx_energy.disconnect() |
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| 157 | |||
| 158 | if cursor_billing: |
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| 159 | cursor_billing.close() |
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| 160 | if cnx_billing: |
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| 161 | cnx_billing.disconnect() |
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| 162 | |||
| 163 | if cursor_historical: |
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| 164 | cursor_historical.close() |
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| 165 | if cnx_historical: |
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| 166 | cnx_historical.disconnect() |
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| 167 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 168 | |||
| 169 | meter = dict() |
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| 170 | meter['id'] = row_meter[0] |
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| 171 | meter['name'] = row_meter[1] |
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| 172 | meter['cost_center_id'] = row_meter[2] |
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| 173 | meter['energy_category_id'] = row_meter[3] |
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| 174 | meter['energy_category_name'] = row_meter[4] |
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| 175 | meter['unit_of_measure'] = config.currency_unit |
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| 176 | meter['kgce'] = row_meter[6] |
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| 177 | meter['kgco2e'] = row_meter[7] |
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| 178 | |||
| 179 | ################################################################################################################ |
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| 180 | # Step 3: query associated points |
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| 181 | ################################################################################################################ |
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| 182 | point_list = list() |
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| 183 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 184 | " FROM tbl_meters m, tbl_meters_points mp, tbl_points p " |
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| 185 | " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " |
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| 186 | " ORDER BY p.id ", (meter['id'],)) |
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| 187 | rows_points = cursor_system.fetchall() |
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| 188 | if rows_points is not None and len(rows_points) > 0: |
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| 189 | for row in rows_points: |
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| 190 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 191 | |||
| 192 | ################################################################################################################ |
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| 193 | # Step 4: query base period energy consumption |
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| 194 | ################################################################################################################ |
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| 195 | query = (" SELECT start_datetime_utc, actual_value " |
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| 196 | " FROM tbl_meter_hourly " |
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| 197 | " WHERE meter_id = %s " |
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| 198 | " AND start_datetime_utc >= %s " |
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| 199 | " AND start_datetime_utc < %s " |
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| 200 | " ORDER BY start_datetime_utc ") |
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| 201 | cursor_energy.execute(query, (meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 202 | rows_meter_hourly = cursor_energy.fetchall() |
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| 203 | |||
| 204 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 205 | base_start_datetime_utc, |
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| 206 | base_end_datetime_utc, |
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| 207 | period_type) |
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| 208 | base = dict() |
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| 209 | base['timestamps'] = list() |
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| 210 | base['values'] = list() |
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| 211 | base['total_in_category'] = Decimal(0.0) |
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| 212 | base['total_in_kgce'] = Decimal(0.0) |
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| 213 | base['total_in_kgco2e'] = Decimal(0.0) |
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| 214 | |||
| 215 | for row_meter_periodically in rows_meter_periodically: |
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| 216 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 217 | timedelta(minutes=timezone_offset) |
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| 218 | if period_type == 'hourly': |
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| 219 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 220 | elif period_type == 'daily': |
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| 221 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 222 | elif period_type == 'monthly': |
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| 223 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 224 | elif period_type == 'yearly': |
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| 225 | current_datetime = current_datetime_local.strftime('%Y') |
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| 226 | |||
| 227 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 228 | else row_meter_periodically[1] |
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| 229 | base['timestamps'].append(current_datetime) |
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|
introduced
by
|
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| 230 | base['total_in_kgce'] += actual_value * meter['kgce'] |
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| 231 | base['total_in_kgco2e'] += actual_value * meter['kgco2e'] |
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| 232 | |||
| 233 | ################################################################################################################ |
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| 234 | # Step 5: query base period energy cost |
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| 235 | ################################################################################################################ |
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| 236 | query = (" SELECT start_datetime_utc, actual_value " |
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| 237 | " FROM tbl_meter_hourly " |
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| 238 | " WHERE meter_id = %s " |
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| 239 | " AND start_datetime_utc >= %s " |
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| 240 | " AND start_datetime_utc < %s " |
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| 241 | " ORDER BY start_datetime_utc ") |
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| 242 | cursor_billing.execute(query, (meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 243 | rows_meter_hourly = cursor_billing.fetchall() |
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| 244 | |||
| 245 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 246 | base_start_datetime_utc, |
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| 247 | base_end_datetime_utc, |
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| 248 | period_type) |
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| 249 | |||
| 250 | base['values'] = list() |
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| 251 | base['total_in_category'] = Decimal(0.0) |
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| 252 | |||
| 253 | for row_meter_periodically in rows_meter_periodically: |
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| 254 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 255 | else row_meter_periodically[1] |
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| 256 | base['values'].append(actual_value) |
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| 257 | base['total_in_category'] += actual_value |
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| 258 | |||
| 259 | ################################################################################################################ |
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| 260 | # Step 6: query reporting period energy consumption |
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| 261 | ################################################################################################################ |
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| 262 | query = (" SELECT start_datetime_utc, actual_value " |
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| 263 | " FROM tbl_meter_hourly " |
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| 264 | " WHERE meter_id = %s " |
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| 265 | " AND start_datetime_utc >= %s " |
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| 266 | " AND start_datetime_utc < %s " |
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| 267 | " ORDER BY start_datetime_utc ") |
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| 268 | cursor_energy.execute(query, (meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 269 | rows_meter_hourly = cursor_energy.fetchall() |
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| 270 | |||
| 271 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 272 | reporting_start_datetime_utc, |
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| 273 | reporting_end_datetime_utc, |
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| 274 | period_type) |
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| 275 | reporting = dict() |
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| 276 | reporting['timestamps'] = list() |
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| 277 | reporting['values'] = list() |
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| 278 | reporting['total_in_category'] = Decimal(0.0) |
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| 279 | reporting['total_in_kgce'] = Decimal(0.0) |
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| 280 | reporting['total_in_kgco2e'] = Decimal(0.0) |
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| 281 | |||
| 282 | for row_meter_periodically in rows_meter_periodically: |
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| 283 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 284 | timedelta(minutes=timezone_offset) |
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| 285 | if period_type == 'hourly': |
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| 286 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 287 | elif period_type == 'daily': |
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| 288 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 289 | elif period_type == 'monthly': |
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| 290 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 291 | elif period_type == 'yearly': |
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| 292 | current_datetime = current_datetime_local.strftime('%Y') |
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| 293 | |||
| 294 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 295 | else row_meter_periodically[1] |
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| 296 | |||
| 297 | reporting['timestamps'].append(current_datetime) |
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| 298 | reporting['total_in_kgce'] += actual_value * meter['kgce'] |
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| 299 | reporting['total_in_kgco2e'] += actual_value * meter['kgco2e'] |
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| 300 | |||
| 301 | ################################################################################################################ |
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| 302 | # Step 7: query reporting period energy cost |
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| 303 | ################################################################################################################ |
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| 304 | query = (" SELECT start_datetime_utc, actual_value " |
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| 305 | " FROM tbl_meter_hourly " |
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| 306 | " WHERE meter_id = %s " |
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| 307 | " AND start_datetime_utc >= %s " |
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| 308 | " AND start_datetime_utc < %s " |
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| 309 | " ORDER BY start_datetime_utc ") |
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| 310 | cursor_billing.execute(query, (meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 311 | rows_meter_hourly = cursor_billing.fetchall() |
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| 312 | |||
| 313 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 314 | reporting_start_datetime_utc, |
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| 315 | reporting_end_datetime_utc, |
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| 316 | period_type) |
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| 317 | |||
| 318 | for row_meter_periodically in rows_meter_periodically: |
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| 319 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 320 | else row_meter_periodically[1] |
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| 321 | |||
| 322 | reporting['values'].append(actual_value) |
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| 323 | reporting['total_in_category'] += actual_value |
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| 324 | |||
| 325 | ################################################################################################################ |
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| 326 | # Step 8: query tariff data |
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| 327 | ################################################################################################################ |
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| 328 | parameters_data = dict() |
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| 329 | parameters_data['names'] = list() |
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| 330 | parameters_data['timestamps'] = list() |
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| 331 | parameters_data['values'] = list() |
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| 332 | |||
| 333 | tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'], |
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| 334 | meter['energy_category_id'], |
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| 335 | reporting_start_datetime_utc, |
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| 336 | reporting_end_datetime_utc) |
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| 337 | tariff_timestamp_list = list() |
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| 338 | tariff_value_list = list() |
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| 339 | for k, v in tariff_dict.items(): |
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| 340 | # convert k from utc to local |
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| 341 | k = k + timedelta(minutes=timezone_offset) |
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| 342 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 343 | tariff_value_list.append(v) |
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| 344 | |||
| 345 | parameters_data['names'].append('TARIFF-' + meter['energy_category_name']) |
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| 346 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 347 | parameters_data['values'].append(tariff_value_list) |
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| 348 | |||
| 349 | ################################################################################################################ |
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| 350 | # Step 9: query associated points data |
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| 351 | ################################################################################################################ |
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| 352 | for point in point_list: |
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| 353 | point_values = [] |
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| 354 | point_timestamps = [] |
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| 355 | if point['object_type'] == 'ANALOG_VALUE': |
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| 356 | query = (" SELECT utc_date_time, actual_value " |
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| 357 | " FROM tbl_analog_value " |
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| 358 | " WHERE point_id = %s " |
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| 359 | " AND utc_date_time BETWEEN %s AND %s " |
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| 360 | " ORDER BY utc_date_time ") |
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| 361 | cursor_historical.execute(query, (point['id'], |
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| 362 | reporting_start_datetime_utc, |
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| 363 | reporting_end_datetime_utc)) |
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| 364 | rows = cursor_historical.fetchall() |
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| 365 | |||
| 366 | if rows is not None and len(rows) > 0: |
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| 367 | for row in rows: |
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| 368 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 369 | timedelta(minutes=timezone_offset) |
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| 370 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 371 | point_timestamps.append(current_datetime) |
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| 372 | point_values.append(row[1]) |
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| 373 | |||
| 374 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 375 | query = (" SELECT utc_date_time, actual_value " |
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| 376 | " FROM tbl_energy_value " |
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| 377 | " WHERE point_id = %s " |
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| 378 | " AND utc_date_time BETWEEN %s AND %s " |
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| 379 | " ORDER BY utc_date_time ") |
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| 380 | cursor_historical.execute(query, (point['id'], |
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| 381 | reporting_start_datetime_utc, |
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| 382 | reporting_end_datetime_utc)) |
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| 383 | rows = cursor_historical.fetchall() |
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| 384 | |||
| 385 | if rows is not None and len(rows) > 0: |
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| 386 | for row in rows: |
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| 387 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 388 | timedelta(minutes=timezone_offset) |
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| 389 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 390 | point_timestamps.append(current_datetime) |
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| 391 | point_values.append(row[1]) |
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| 392 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 393 | query = (" SELECT utc_date_time, actual_value " |
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| 394 | " FROM tbl_digital_value " |
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| 395 | " WHERE point_id = %s " |
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| 396 | " AND utc_date_time BETWEEN %s AND %s ") |
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| 397 | cursor_historical.execute(query, (point['id'], |
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| 398 | reporting_start_datetime_utc, |
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| 399 | reporting_end_datetime_utc)) |
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| 400 | rows = cursor_historical.fetchall() |
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| 401 | |||
| 402 | if rows is not None and len(rows) > 0: |
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| 403 | for row in rows: |
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| 404 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 405 | timedelta(minutes=timezone_offset) |
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| 406 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 407 | point_timestamps.append(current_datetime) |
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| 408 | point_values.append(row[1]) |
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| 409 | |||
| 410 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
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| 411 | parameters_data['timestamps'].append(point_timestamps) |
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| 412 | parameters_data['values'].append(point_values) |
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| 413 | |||
| 414 | ################################################################################################################ |
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| 415 | # Step 10: construct the report |
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| 416 | ################################################################################################################ |
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| 417 | if cursor_system: |
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| 418 | cursor_system.close() |
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| 419 | if cnx_system: |
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| 420 | cnx_system.disconnect() |
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| 421 | |||
| 422 | if cursor_energy: |
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| 423 | cursor_energy.close() |
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| 424 | if cnx_energy: |
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| 425 | cnx_energy.disconnect() |
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| 426 | |||
| 427 | if cursor_billing: |
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| 428 | cursor_billing.close() |
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| 429 | if cnx_billing: |
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| 430 | cnx_billing.disconnect() |
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| 431 | |||
| 432 | if cursor_historical: |
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| 433 | cursor_historical.close() |
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| 434 | if cnx_historical: |
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| 435 | cnx_historical.disconnect() |
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| 436 | result = { |
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| 437 | "meter": { |
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| 438 | "cost_center_id": meter['cost_center_id'], |
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| 439 | "energy_category_id": meter['energy_category_id'], |
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| 440 | "energy_category_name": meter['energy_category_name'], |
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| 441 | "unit_of_measure": config.currency_unit, |
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| 442 | "kgce": meter['kgce'], |
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| 443 | "kgco2e": meter['kgco2e'], |
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| 444 | }, |
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| 445 | "base_period": { |
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| 446 | "total_in_category": base['total_in_category'], |
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| 447 | "total_in_kgce": base['total_in_kgce'], |
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| 448 | "total_in_kgco2e": base['total_in_kgco2e'], |
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| 449 | "timestamps": base['timestamps'], |
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| 450 | "values": base['values'], |
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| 451 | }, |
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| 452 | "reporting_period": { |
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| 453 | "increment_rate": |
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| 454 | (reporting['total_in_category']-base['total_in_category'])/base['total_in_category'] |
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| 455 | if base['total_in_category'] > 0 else None, |
||
| 456 | "total_in_category": reporting['total_in_category'], |
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| 457 | "total_in_kgce": reporting['total_in_kgce'], |
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| 458 | "total_in_kgco2e": reporting['total_in_kgco2e'], |
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| 459 | "timestamps": reporting['timestamps'], |
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| 460 | "values": reporting['values'], |
||
| 461 | }, |
||
| 462 | "parameters": { |
||
| 463 | "names": parameters_data['names'], |
||
| 464 | "timestamps": parameters_data['timestamps'], |
||
| 465 | "values": parameters_data['values'] |
||
| 466 | }, |
||
| 467 | } |
||
| 468 | # export result to Excel file and then encode the file to base64 string |
||
| 469 | result['excel_bytes_base64'] = \ |
||
| 470 | excelexporters.metercost.export(result, |
||
| 471 | meter['name'], |
||
| 472 | reporting_period_start_datetime_local, |
||
| 473 | reporting_period_end_datetime_local, |
||
| 474 | period_type) |
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| 475 | |||
| 476 | resp.body = json.dumps(result) |
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| 477 |
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