myems /
myems-api
| Total Complexity | 54 |
| Total Lines | 392 |
| Duplicated Lines | 97.45 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like offlinemetercost 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 | import utilities |
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| 7 | from decimal import * |
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| 8 | |||
| 9 | |||
| 10 | View Code Duplication | class Reporting: |
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Duplication
introduced
by
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| 11 | @staticmethod |
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| 12 | def __init__(): |
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| 13 | pass |
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| 14 | |||
| 15 | @staticmethod |
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| 16 | def on_options(req, resp): |
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| 17 | resp.status = falcon.HTTP_200 |
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| 18 | |||
| 19 | #################################################################################################################### |
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| 20 | # PROCEDURES |
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| 21 | # Step 1: valid parameters |
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| 22 | # Step 2: query the offline meter and energy category |
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| 23 | # Step 3: query base period energy consumption |
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| 24 | # Step 4: query base period energy cost |
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| 25 | # Step 5: query reporting period energy consumption |
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| 26 | # Step 6: query reporting period energy cost |
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| 27 | # Step 7: query tariff data |
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| 28 | # Step 8: construct the report |
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| 29 | #################################################################################################################### |
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| 30 | @staticmethod |
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| 31 | def on_get(req, resp): |
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| 32 | print(req.params) |
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| 33 | offline_meter_id = req.params.get('offlinemeterid') |
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| 34 | period_type = req.params.get('periodtype') |
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| 35 | base_period_start_datetime = req.params.get('baseperiodstartdatetime') |
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| 36 | base_period_end_datetime = req.params.get('baseperiodenddatetime') |
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| 37 | reporting_period_start_datetime = req.params.get('reportingperiodstartdatetime') |
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| 38 | reporting_period_end_datetime = req.params.get('reportingperiodenddatetime') |
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| 39 | |||
| 40 | ################################################################################################################ |
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| 41 | # Step 1: valid parameters |
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| 42 | ################################################################################################################ |
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| 43 | if offline_meter_id is None: |
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| 44 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 45 | title='API.BAD_REQUEST', |
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| 46 | description='API.INVALID_OFFLINE_METER_ID') |
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| 47 | else: |
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| 48 | offline_meter_id = str.strip(offline_meter_id) |
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| 49 | if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0: |
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| 50 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 51 | title='API.BAD_REQUEST', |
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| 52 | description='API.INVALID_OFFLINE_METER_ID') |
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| 53 | |||
| 54 | if period_type is None: |
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| 55 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 56 | else: |
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| 57 | period_type = str.strip(period_type) |
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| 58 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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| 59 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 60 | |||
| 61 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 62 | if config.utc_offset[0] == '-': |
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| 63 | timezone_offset = -timezone_offset |
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| 64 | |||
| 65 | base_start_datetime_utc = None |
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| 66 | if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0: |
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| 67 | base_period_start_datetime = str.strip(base_period_start_datetime) |
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| 68 | try: |
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| 69 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime, '%Y-%m-%dT%H:%M:%S') |
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| 70 | except ValueError: |
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| 71 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 72 | description="API.INVALID_BASE_PERIOD_BEGINS_DATETIME") |
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| 73 | base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 74 | timedelta(minutes=timezone_offset) |
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| 75 | |||
| 76 | base_end_datetime_utc = None |
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| 77 | if base_period_end_datetime is not None and len(str.strip(base_period_end_datetime)) > 0: |
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| 78 | base_period_end_datetime = str.strip(base_period_end_datetime) |
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| 79 | try: |
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| 80 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime, '%Y-%m-%dT%H:%M:%S') |
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| 81 | except ValueError: |
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| 82 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 83 | description="API.INVALID_BASE_PERIOD_ENDS_DATETIME") |
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| 84 | base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 85 | timedelta(minutes=timezone_offset) |
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| 86 | |||
| 87 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 88 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 89 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 90 | description='API.INVALID_BASE_PERIOD_ENDS_DATETIME') |
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| 91 | |||
| 92 | if reporting_period_start_datetime is None: |
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| 93 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 94 | description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME") |
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| 95 | else: |
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| 96 | reporting_period_start_datetime = str.strip(reporting_period_start_datetime) |
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| 97 | try: |
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| 98 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S') |
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| 99 | except ValueError: |
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| 100 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 101 | description="API.INVALID_REPORTING_PERIOD_BEGINS_DATETIME") |
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| 102 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 103 | timedelta(minutes=timezone_offset) |
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| 104 | |||
| 105 | if reporting_period_end_datetime is None: |
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| 106 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 107 | description="API.INVALID_REPORTING_PERIOD_ENDS_DATETIME") |
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| 108 | else: |
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| 109 | reporting_period_end_datetime = str.strip(reporting_period_end_datetime) |
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| 110 | try: |
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| 111 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S') |
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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_ENDS_DATETIME") |
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| 115 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 116 | timedelta(minutes=timezone_offset) |
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| 117 | |||
| 118 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 119 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 120 | description='API.INVALID_REPORTING_PERIOD_ENDS_DATETIME') |
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| 121 | |||
| 122 | ################################################################################################################ |
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| 123 | # Step 2: query the offline meter and energy category |
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| 124 | ################################################################################################################ |
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| 125 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 126 | cursor_system = cnx_system.cursor() |
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| 127 | |||
| 128 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 129 | cursor_energy = cnx_energy.cursor() |
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| 130 | |||
| 131 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
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| 132 | cursor_billing = cnx_billing.cursor() |
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| 133 | |||
| 134 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 135 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 136 | " FROM tbl_offline_meters m, tbl_energy_categories ec " |
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| 137 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,)) |
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| 138 | row_offline_meter = cursor_system.fetchone() |
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| 139 | if row_offline_meter is None: |
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| 140 | if cursor_system: |
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| 141 | cursor_system.close() |
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| 142 | if cnx_system: |
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| 143 | cnx_system.disconnect() |
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| 144 | |||
| 145 | if cursor_energy: |
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| 146 | cursor_energy.close() |
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| 147 | if cnx_energy: |
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| 148 | cnx_energy.disconnect() |
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| 149 | |||
| 150 | if cursor_billing: |
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| 151 | cursor_billing.close() |
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| 152 | if cnx_billing: |
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| 153 | cnx_billing.disconnect() |
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| 154 | |||
| 155 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND') |
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| 156 | |||
| 157 | offline_meter = dict() |
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| 158 | offline_meter['id'] = row_offline_meter[0] |
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| 159 | offline_meter['name'] = row_offline_meter[1] |
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| 160 | offline_meter['cost_center_id'] = row_offline_meter[2] |
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| 161 | offline_meter['energy_category_id'] = row_offline_meter[3] |
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| 162 | offline_meter['energy_category_name'] = row_offline_meter[4] |
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| 163 | offline_meter['unit_of_measure'] = config.currency_unit |
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| 164 | offline_meter['kgce'] = row_offline_meter[6] |
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| 165 | offline_meter['kgco2e'] = row_offline_meter[7] |
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| 166 | |||
| 167 | ################################################################################################################ |
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| 168 | # Step 3: query base period energy consumption |
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| 169 | ################################################################################################################ |
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| 170 | query = (" SELECT start_datetime_utc, actual_value " |
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| 171 | " FROM tbl_offline_meter_hourly " |
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| 172 | " WHERE offline_meter_id = %s " |
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| 173 | " AND start_datetime_utc >= %s " |
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| 174 | " AND start_datetime_utc < %s " |
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| 175 | " ORDER BY start_datetime_utc ") |
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| 176 | cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 177 | rows_offline_meter_hourly = cursor_energy.fetchall() |
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| 178 | |||
| 179 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 180 | base_start_datetime_utc, |
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| 181 | base_end_datetime_utc, |
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| 182 | period_type) |
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| 183 | base = dict() |
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| 184 | base['timestamps'] = list() |
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| 185 | base['values_in_category'] = list() |
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| 186 | base['total_in_category'] = Decimal(0.0) |
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| 187 | base['values_in_kgce'] = list() |
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| 188 | base['total_in_kgce'] = Decimal(0.0) |
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| 189 | base['values_in_kgco2e'] = list() |
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| 190 | base['total_in_kgco2e'] = Decimal(0.0) |
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| 191 | |||
| 192 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 193 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 194 | timedelta(minutes=timezone_offset) |
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| 195 | if period_type == 'hourly': |
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| 196 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 197 | elif period_type == 'daily': |
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| 198 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 199 | elif period_type == 'monthly': |
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| 200 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 201 | elif period_type == 'yearly': |
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| 202 | current_datetime = current_datetime_local.strftime('%Y') |
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| 203 | |||
| 204 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 205 | else row_offline_meter_periodically[1] |
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| 206 | base['timestamps'].append(current_datetime) |
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| 207 | base['values_in_kgce'].append(actual_value * offline_meter['kgce']) |
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| 208 | base['total_in_kgce'] += actual_value * offline_meter['kgce'] |
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| 209 | base['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e']) |
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| 210 | base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e'] |
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| 211 | |||
| 212 | ################################################################################################################ |
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| 213 | # Step 4: query base period energy cost |
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| 214 | ################################################################################################################ |
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| 215 | query = (" SELECT start_datetime_utc, actual_value " |
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| 216 | " FROM tbl_offline_meter_hourly " |
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| 217 | " WHERE offline_meter_id = %s " |
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| 218 | " AND start_datetime_utc >= %s " |
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| 219 | " AND start_datetime_utc < %s " |
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| 220 | " ORDER BY start_datetime_utc ") |
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| 221 | cursor_billing.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 222 | rows_offline_meter_hourly = cursor_billing.fetchall() |
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| 223 | |||
| 224 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 225 | base_start_datetime_utc, |
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| 226 | base_end_datetime_utc, |
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| 227 | period_type) |
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| 228 | |||
| 229 | base['values_in_category'] = list() |
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| 230 | base['total_in_category'] = Decimal(0.0) |
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| 231 | |||
| 232 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 233 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 234 | else row_offline_meter_periodically[1] |
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| 235 | base['values_in_category'].append(actual_value) |
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| 236 | base['total_in_category'] += actual_value |
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| 237 | |||
| 238 | ################################################################################################################ |
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| 239 | # Step 5: query reporting period energy consumption |
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| 240 | ################################################################################################################ |
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| 241 | query = (" SELECT start_datetime_utc, actual_value " |
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| 242 | " FROM tbl_offline_meter_hourly " |
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| 243 | " WHERE offline_meter_id = %s " |
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| 244 | " AND start_datetime_utc >= %s " |
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| 245 | " AND start_datetime_utc < %s " |
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| 246 | " ORDER BY start_datetime_utc ") |
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| 247 | cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 248 | rows_offline_meter_hourly = cursor_energy.fetchall() |
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| 249 | |||
| 250 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 251 | reporting_start_datetime_utc, |
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| 252 | reporting_end_datetime_utc, |
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| 253 | period_type) |
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| 254 | reporting = dict() |
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| 255 | reporting['timestamps'] = list() |
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| 256 | reporting['values_in_category'] = list() |
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| 257 | reporting['total_in_category'] = Decimal(0.0) |
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| 258 | reporting['values_in_kgce'] = list() |
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| 259 | reporting['total_in_kgce'] = Decimal(0.0) |
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| 260 | reporting['values_in_kgco2e'] = list() |
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| 261 | reporting['total_in_kgco2e'] = Decimal(0.0) |
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| 262 | |||
| 263 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 264 | current_datetime_local = row_offline_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 == 'monthly': |
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| 271 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 272 | elif period_type == 'yearly': |
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| 273 | current_datetime = current_datetime_local.strftime('%Y') |
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| 274 | |||
| 275 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 276 | else row_offline_meter_periodically[1] |
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| 277 | |||
| 278 | reporting['timestamps'].append(current_datetime) |
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| 279 | reporting['values_in_kgce'].append(actual_value * offline_meter['kgce']) |
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| 280 | reporting['total_in_kgce'] += actual_value * offline_meter['kgce'] |
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| 281 | reporting['values_in_kgco2e'].append(actual_value * offline_meter['kgco2e']) |
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| 282 | reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e'] |
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| 283 | |||
| 284 | ################################################################################################################ |
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| 285 | # Step 6: query reporting period energy cost |
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| 286 | ################################################################################################################ |
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| 287 | query = (" SELECT start_datetime_utc, actual_value " |
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| 288 | " FROM tbl_offline_meter_hourly " |
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| 289 | " WHERE offline_meter_id = %s " |
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| 290 | " AND start_datetime_utc >= %s " |
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| 291 | " AND start_datetime_utc < %s " |
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| 292 | " ORDER BY start_datetime_utc ") |
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| 293 | cursor_billing.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 294 | rows_offline_meter_hourly = cursor_billing.fetchall() |
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| 295 | |||
| 296 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 297 | reporting_start_datetime_utc, |
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| 298 | reporting_end_datetime_utc, |
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| 299 | period_type) |
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| 300 | |||
| 301 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 302 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 303 | else row_offline_meter_periodically[1] |
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| 304 | |||
| 305 | reporting['values_in_category'].append(actual_value) |
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| 306 | reporting['total_in_category'] += actual_value |
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| 307 | |||
| 308 | ################################################################################################################ |
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| 309 | # Step 7: query tariff data |
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| 310 | ################################################################################################################ |
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| 311 | parameters_data = dict() |
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| 312 | parameters_data['names'] = list() |
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| 313 | parameters_data['timestamps'] = list() |
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| 314 | parameters_data['values'] = list() |
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| 315 | |||
| 316 | tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'], |
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| 317 | offline_meter['energy_category_id'], |
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| 318 | reporting_start_datetime_utc, |
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| 319 | reporting_end_datetime_utc) |
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| 320 | tariff_timestamp_list = list() |
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| 321 | tariff_value_list = list() |
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| 322 | for k, v in tariff_dict.items(): |
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| 323 | # convert k from utc to local |
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| 324 | k = k + timedelta(minutes=timezone_offset) |
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| 325 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 326 | tariff_value_list.append(v) |
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| 327 | |||
| 328 | parameters_data['names'].append('TARIFF-' + offline_meter['energy_category_name']) |
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| 329 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 330 | parameters_data['values'].append(tariff_value_list) |
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| 331 | |||
| 332 | ################################################################################################################ |
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| 333 | # Step 8: construct the report |
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| 334 | ################################################################################################################ |
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| 335 | if cursor_system: |
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| 336 | cursor_system.close() |
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| 337 | if cnx_system: |
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| 338 | cnx_system.disconnect() |
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| 339 | |||
| 340 | if cursor_energy: |
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| 341 | cursor_energy.close() |
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| 342 | if cnx_energy: |
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| 343 | cnx_energy.disconnect() |
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| 344 | |||
| 345 | if cursor_billing: |
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| 346 | cursor_billing.close() |
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| 347 | if cnx_billing: |
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| 348 | cnx_billing.disconnect() |
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| 349 | |||
| 350 | result = { |
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| 351 | "offline_meter": { |
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| 352 | "cost_center_id": offline_meter['cost_center_id'], |
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| 353 | "energy_category_id": offline_meter['energy_category_id'], |
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| 354 | "energy_category_name": offline_meter['energy_category_name'], |
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| 355 | "unit_of_measure": offline_meter['unit_of_measure'], |
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| 356 | "kgce": offline_meter['kgce'], |
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| 357 | "kgco2e": offline_meter['kgco2e'], |
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| 358 | }, |
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| 359 | "reporting_period": { |
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| 360 | "increment_rate": |
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| 361 | (reporting['total_in_category']-base['total_in_category'])/base['total_in_category'] |
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| 362 | if base['total_in_category'] > 0 else None, |
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| 363 | "total_in_category": reporting['total_in_category'], |
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| 364 | "total_in_kgce": reporting['total_in_kgce'], |
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| 365 | "total_in_kgco2e": reporting['total_in_kgco2e'], |
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| 366 | "timestamps": [reporting['timestamps'], |
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| 367 | reporting['timestamps'], |
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| 368 | reporting['timestamps']], |
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| 369 | "values": [reporting['values_in_category'], |
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| 370 | reporting['values_in_kgce'], |
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| 371 | reporting['values_in_kgco2e']], |
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| 372 | }, |
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| 373 | "base_period": { |
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| 374 | "total_in_category": base['total_in_category'], |
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| 375 | "total_in_kgce": base['total_in_kgce'], |
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| 376 | "total_in_kgco2e": base['total_in_kgco2e'], |
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| 377 | "timestamps": [base['timestamps'], |
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| 378 | base['timestamps'], |
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| 379 | base['timestamps']], |
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| 380 | "values": [base['values_in_category'], |
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| 381 | base['values_in_kgce'], |
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| 382 | base['values_in_kgco2e']], |
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| 383 | }, |
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| 384 | "parameters": { |
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| 385 | "names": parameters_data['names'], |
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| 386 | "timestamps": parameters_data['timestamps'], |
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| 387 | "values": parameters_data['values'] |
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| 388 | }, |
||
| 389 | } |
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| 390 | |||
| 391 | resp.body = json.dumps(result) |
||
| 392 |
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