MyEMS /
myems
| Total Complexity | 63 |
| Total Lines | 364 |
| Duplicated Lines | 0 % |
| Changes | 0 | ||
Complex classes like reports.offlinemeterenergy 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 | from datetime import datetime, timedelta, timezone |
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| 2 | from decimal import Decimal |
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| 3 | |||
| 4 | import gettext |
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| 5 | import falcon |
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| 6 | import mysql.connector |
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| 7 | import simplejson as json |
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| 8 | |||
| 9 | import config |
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| 10 | import excelexporters.offlinemeterenergy |
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| 11 | from core import utilities |
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| 12 | |||
| 13 | |||
| 14 | class Reporting: |
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| 15 | @staticmethod |
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| 16 | def __init__(): |
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| 17 | """Initializes Class""" |
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| 18 | pass |
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| 19 | |||
| 20 | @staticmethod |
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| 21 | def on_options(req, resp): |
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| 22 | resp.status = falcon.HTTP_200 |
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| 23 | |||
| 24 | #################################################################################################################### |
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| 25 | # PROCEDURES |
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| 26 | # Step 1: valid parameters |
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| 27 | # Step 2: query the offline meter and energy category |
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| 28 | # Step 3: query base period energy consumption |
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| 29 | # Step 4: query reporting period energy consumption |
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| 30 | # Step 5: query tariff data |
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| 31 | # Step 6: 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 | offline_meter_id = req.params.get('offlinemeterid') |
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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 = req.params.get('reportingperiodstartdatetime') |
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| 41 | reporting_period_end_datetime = req.params.get('reportingperiodenddatetime') |
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| 42 | language = req.params.get('language') |
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| 43 | quick_mode = req.params.get('quickmode') |
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| 44 | |||
| 45 | ################################################################################################################ |
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| 46 | # Step 1: valid parameters |
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| 47 | ################################################################################################################ |
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| 48 | if offline_meter_id is None: |
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| 49 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 50 | title='API.BAD_REQUEST', |
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| 51 | description='API.INVALID_OFFLINE_METER_ID') |
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| 52 | else: |
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| 53 | offline_meter_id = str.strip(offline_meter_id) |
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| 54 | if not offline_meter_id.isdigit() or int(offline_meter_id) <= 0: |
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| 55 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 56 | title='API.BAD_REQUEST', |
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| 57 | description='API.INVALID_OFFLINE_METER_ID') |
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| 58 | |||
| 59 | if period_type is None: |
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| 60 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 61 | else: |
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| 62 | period_type = str.strip(period_type) |
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| 63 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 64 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 65 | |||
| 66 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 67 | if config.utc_offset[0] == '-': |
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| 68 | timezone_offset = -timezone_offset |
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| 69 | |||
| 70 | base_start_datetime_utc = None |
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| 71 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 72 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 73 | try: |
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| 74 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 75 | except ValueError: |
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| 76 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 77 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 78 | base_start_datetime_utc = \ |
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| 79 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 80 | # nomalize the start datetime |
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| 81 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 82 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 83 | else: |
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| 84 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 85 | |||
| 86 | base_end_datetime_utc = None |
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| 87 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 88 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 89 | try: |
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| 90 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 91 | except ValueError: |
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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 | base_end_datetime_utc = \ |
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| 95 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 96 | |||
| 97 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 98 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 99 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 100 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 101 | |||
| 102 | if reporting_period_start_datetime is None: |
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| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 105 | else: |
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| 106 | reporting_period_start_datetime = str.strip(reporting_period_start_datetime) |
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| 107 | try: |
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| 108 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime, '%Y-%m-%dT%H:%M:%S') |
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| 109 | except ValueError: |
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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_START_DATETIME") |
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| 112 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 113 | timedelta(minutes=timezone_offset) |
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| 114 | |||
| 115 | if reporting_period_end_datetime is None: |
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| 116 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 117 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 118 | else: |
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| 119 | reporting_period_end_datetime = str.strip(reporting_period_end_datetime) |
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| 120 | try: |
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| 121 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime, '%Y-%m-%dT%H:%M:%S') |
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| 122 | except ValueError: |
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| 123 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 124 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 125 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 126 | timedelta(minutes=timezone_offset) |
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| 127 | |||
| 128 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 129 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 130 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 131 | |||
| 132 | # if turn quick mode on, do not return parameters data and excel file |
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| 133 | is_quick_mode = False |
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| 134 | if quick_mode is not None and \ |
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| 135 | len(str.strip(quick_mode)) > 0 and \ |
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| 136 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 137 | is_quick_mode = True |
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| 138 | |||
| 139 | locale_path = './i18n/' |
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| 140 | if language == 'zh_CN': |
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| 141 | trans = gettext.translation('myems', locale_path, languages=['zh_CN']) |
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| 142 | elif language == 'de': |
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| 143 | trans = gettext.translation('myems', locale_path, languages=['de']) |
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| 144 | elif language == 'en': |
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| 145 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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| 146 | else: |
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| 147 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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| 148 | trans.install() |
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| 149 | _ = trans.gettext |
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| 150 | |||
| 151 | ################################################################################################################ |
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| 152 | # Step 2: query the offline meter and energy category |
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| 153 | ################################################################################################################ |
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| 154 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 155 | cursor_system = cnx_system.cursor() |
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| 156 | |||
| 157 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 158 | cursor_energy = cnx_energy.cursor() |
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| 159 | |||
| 160 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 161 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 162 | " FROM tbl_offline_meters m, tbl_energy_categories ec " |
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| 163 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (offline_meter_id,)) |
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| 164 | row_offline_meter = cursor_system.fetchone() |
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| 165 | if row_offline_meter is None: |
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| 166 | if cursor_system: |
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| 167 | cursor_system.close() |
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| 168 | if cnx_system: |
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| 169 | cnx_system.close() |
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| 170 | |||
| 171 | if cursor_energy: |
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| 172 | cursor_energy.close() |
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| 173 | if cnx_energy: |
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| 174 | cnx_energy.close() |
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| 175 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.OFFLINE_METER_NOT_FOUND') |
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| 176 | |||
| 177 | offline_meter = dict() |
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| 178 | offline_meter['id'] = row_offline_meter[0] |
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| 179 | offline_meter['name'] = row_offline_meter[1] |
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| 180 | offline_meter['cost_center_id'] = row_offline_meter[2] |
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| 181 | offline_meter['energy_category_id'] = row_offline_meter[3] |
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| 182 | offline_meter['energy_category_name'] = row_offline_meter[4] |
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| 183 | offline_meter['unit_of_measure'] = row_offline_meter[5] |
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| 184 | offline_meter['kgce'] = row_offline_meter[6] |
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| 185 | offline_meter['kgco2e'] = row_offline_meter[7] |
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| 186 | |||
| 187 | ################################################################################################################ |
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| 188 | # Step 3: query base period energy consumption |
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| 189 | ################################################################################################################ |
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| 190 | query = (" SELECT start_datetime_utc, actual_value " |
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| 191 | " FROM tbl_offline_meter_hourly " |
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| 192 | " WHERE offline_meter_id = %s " |
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| 193 | " AND start_datetime_utc >= %s " |
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| 194 | " AND start_datetime_utc < %s " |
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| 195 | " ORDER BY start_datetime_utc ") |
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| 196 | cursor_energy.execute(query, (offline_meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 197 | rows_offline_meter_hourly = cursor_energy.fetchall() |
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| 198 | |||
| 199 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 200 | base_start_datetime_utc, |
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| 201 | base_end_datetime_utc, |
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| 202 | period_type) |
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| 203 | base = dict() |
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| 204 | base['timestamps'] = list() |
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| 205 | base['values'] = list() |
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| 206 | base['total_in_category'] = Decimal(0.0) |
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| 207 | base['total_in_kgce'] = Decimal(0.0) |
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| 208 | base['total_in_kgco2e'] = Decimal(0.0) |
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| 209 | |||
| 210 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 211 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 212 | timedelta(minutes=timezone_offset) |
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| 213 | if period_type == 'hourly': |
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| 214 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 215 | elif period_type == 'daily': |
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| 216 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 217 | elif period_type == 'weekly': |
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| 218 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 219 | elif period_type == 'monthly': |
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| 220 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 221 | elif period_type == 'yearly': |
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| 222 | current_datetime = current_datetime_local.strftime('%Y') |
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| 223 | |||
| 224 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 225 | else row_offline_meter_periodically[1] |
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| 226 | base['timestamps'].append(current_datetime) |
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|
introduced
by
|
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| 227 | base['values'].append(actual_value) |
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| 228 | base['total_in_category'] += actual_value |
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| 229 | base['total_in_kgce'] += actual_value * offline_meter['kgce'] |
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| 230 | base['total_in_kgco2e'] += actual_value * offline_meter['kgco2e'] |
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| 231 | ################################################################################################################ |
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| 232 | # Step 4: query reporting period energy consumption |
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| 233 | ################################################################################################################ |
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| 234 | |||
| 235 | query = (" SELECT start_datetime_utc, actual_value " |
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| 236 | " FROM tbl_offline_meter_hourly " |
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| 237 | " WHERE offline_meter_id = %s " |
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| 238 | " AND start_datetime_utc >= %s " |
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| 239 | " AND start_datetime_utc < %s " |
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| 240 | " ORDER BY start_datetime_utc ") |
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| 241 | cursor_energy.execute(query, (offline_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 242 | rows_offline_meter_hourly = cursor_energy.fetchall() |
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| 243 | |||
| 244 | rows_offline_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_offline_meter_hourly, |
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| 245 | reporting_start_datetime_utc, |
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| 246 | reporting_end_datetime_utc, |
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| 247 | period_type) |
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| 248 | reporting = dict() |
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| 249 | reporting['timestamps'] = list() |
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| 250 | reporting['values'] = list() |
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| 251 | reporting['rates'] = list() |
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| 252 | reporting['total_in_category'] = Decimal(0.0) |
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| 253 | reporting['total_in_kgce'] = Decimal(0.0) |
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| 254 | reporting['total_in_kgco2e'] = Decimal(0.0) |
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| 255 | |||
| 256 | for row_offline_meter_periodically in rows_offline_meter_periodically: |
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| 257 | current_datetime_local = row_offline_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 258 | timedelta(minutes=timezone_offset) |
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| 259 | if period_type == 'hourly': |
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| 260 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 261 | elif period_type == 'daily': |
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| 262 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 263 | elif period_type == 'weekly': |
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| 264 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 265 | elif period_type == 'monthly': |
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| 266 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 267 | elif period_type == 'yearly': |
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| 268 | current_datetime = current_datetime_local.strftime('%Y') |
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| 269 | |||
| 270 | actual_value = Decimal(0.0) if row_offline_meter_periodically[1] is None \ |
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| 271 | else row_offline_meter_periodically[1] |
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| 272 | |||
| 273 | reporting['timestamps'].append(current_datetime) |
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| 274 | reporting['values'].append(actual_value) |
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| 275 | reporting['total_in_category'] += actual_value |
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| 276 | reporting['total_in_kgce'] += actual_value * offline_meter['kgce'] |
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| 277 | reporting['total_in_kgco2e'] += actual_value * offline_meter['kgco2e'] |
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| 278 | |||
| 279 | for index, value in enumerate(reporting['values']): |
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| 280 | if index < len(base['values']) and base['values'][index] != 0 and value != 0: |
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| 281 | reporting['rates'].append((value - base['values'][index]) / base['values'][index]) |
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| 282 | else: |
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| 283 | reporting['rates'].append(None) |
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| 284 | |||
| 285 | ################################################################################################################ |
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| 286 | # Step 5: query tariff data |
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| 287 | ################################################################################################################ |
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| 288 | parameters_data = dict() |
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| 289 | parameters_data['names'] = list() |
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| 290 | parameters_data['timestamps'] = list() |
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| 291 | parameters_data['values'] = list() |
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| 292 | if config.is_tariff_appended and not is_quick_mode: |
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| 293 | tariff_dict = utilities.get_energy_category_tariffs(offline_meter['cost_center_id'], |
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| 294 | offline_meter['energy_category_id'], |
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| 295 | reporting_start_datetime_utc, |
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| 296 | reporting_end_datetime_utc) |
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| 297 | tariff_timestamp_list = list() |
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| 298 | tariff_value_list = list() |
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| 299 | for k, v in tariff_dict.items(): |
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| 300 | # convert k from utc to local |
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| 301 | k = k + timedelta(minutes=timezone_offset) |
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| 302 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 303 | tariff_value_list.append(v) |
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| 304 | |||
| 305 | parameters_data['names'].append(_('Tariff') + '-' + offline_meter['energy_category_name']) |
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| 306 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 307 | parameters_data['values'].append(tariff_value_list) |
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| 308 | |||
| 309 | ################################################################################################################ |
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| 310 | # Step 6: construct the report |
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| 311 | ################################################################################################################ |
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| 312 | if cursor_system: |
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| 313 | cursor_system.close() |
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| 314 | if cnx_system: |
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| 315 | cnx_system.close() |
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| 316 | |||
| 317 | if cursor_energy: |
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| 318 | cursor_energy.close() |
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| 319 | if cnx_energy: |
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| 320 | cnx_energy.close() |
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| 321 | |||
| 322 | result = {"offline_meter": { |
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| 323 | "cost_center_id": offline_meter['cost_center_id'], |
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| 324 | "energy_category_id": offline_meter['energy_category_id'], |
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| 325 | "energy_category_name": offline_meter['energy_category_name'], |
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| 326 | "unit_of_measure": offline_meter['unit_of_measure'], |
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| 327 | "kgce": offline_meter['kgce'], |
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| 328 | "kgco2e": offline_meter['kgco2e'], |
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| 329 | }, "base_period": { |
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| 330 | "total_in_category": base['total_in_category'], |
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| 331 | "total_in_kgce": base['total_in_kgce'], |
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| 332 | "total_in_kgco2e": base['total_in_kgco2e'], |
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| 333 | "timestamps": base['timestamps'], |
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| 334 | "values": base['values'], |
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| 335 | }, "reporting_period": { |
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| 336 | "increment_rate": |
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| 337 | (reporting['total_in_category'] - base['total_in_category']) / base['total_in_category'] |
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| 338 | if base['total_in_category'] > 0 else None, |
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| 339 | "total_in_category": reporting['total_in_category'], |
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| 340 | "total_in_kgce": reporting['total_in_kgce'], |
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| 341 | "total_in_kgco2e": reporting['total_in_kgco2e'], |
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| 342 | "timestamps": reporting['timestamps'], |
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| 343 | "values": reporting['values'], |
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| 344 | "rates": reporting['rates'], |
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| 345 | }, "parameters": { |
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| 346 | "names": parameters_data['names'], |
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| 347 | "timestamps": parameters_data['timestamps'], |
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| 348 | "values": parameters_data['values'] |
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| 349 | }, 'excel_bytes_base64': None} |
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| 350 | |||
| 351 | # export result to Excel file and then encode the file to base64 string |
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| 352 | if not is_quick_mode: |
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| 353 | result['excel_bytes_base64'] = \ |
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| 354 | excelexporters.offlinemeterenergy.export(result, |
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| 355 | offline_meter['name'], |
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| 356 | base_period_start_datetime_local, |
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| 357 | base_period_end_datetime_local, |
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| 358 | reporting_period_start_datetime, |
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| 359 | reporting_period_end_datetime, |
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| 360 | period_type, |
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| 361 | language) |
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| 362 | |||
| 363 | resp.text = json.dumps(result) |
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| 364 |
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