myems /
myems-api
| Total Complexity | 123 |
| Total Lines | 680 |
| Duplicated Lines | 98.53 % |
| 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 reports.storesaving 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 | |||
| 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 store |
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| 23 | # Step 3: query energy categories |
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| 24 | # Step 4: query associated sensors |
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| 25 | # Step 5: query associated points |
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| 26 | # Step 6: query base period energy saving |
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| 27 | # Step 7: query reporting period energy saving |
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| 28 | # Step 8: query tariff data |
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| 29 | # Step 9: query associated sensors and points data |
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| 30 | # Step 10: construct the report |
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| 31 | #################################################################################################################### |
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| 32 | @staticmethod |
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| 33 | def on_get(req, resp): |
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| 34 | print(req.params) |
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| 35 | store_id = req.params.get('storeid') |
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| 36 | period_type = req.params.get('periodtype') |
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| 37 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 38 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 39 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 40 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 41 | |||
| 42 | ################################################################################################################ |
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| 43 | # Step 1: valid parameters |
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| 44 | ################################################################################################################ |
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| 45 | if store_id is None: |
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| 46 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_STORE_ID') |
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| 47 | else: |
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| 48 | store_id = str.strip(store_id) |
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| 49 | if not store_id.isdigit() or int(store_id) <= 0: |
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| 50 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_STORE_ID') |
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| 51 | |||
| 52 | if period_type is None: |
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| 53 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 54 | else: |
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| 55 | period_type = str.strip(period_type) |
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| 56 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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| 57 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 58 | |||
| 59 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 60 | if config.utc_offset[0] == '-': |
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| 61 | timezone_offset = -timezone_offset |
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| 62 | |||
| 63 | base_start_datetime_utc = None |
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| 64 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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| 65 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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| 66 | try: |
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| 67 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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| 68 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 69 | timedelta(minutes=timezone_offset) |
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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_START_DATETIME") |
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| 73 | |||
| 74 | base_end_datetime_utc = None |
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| 75 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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| 76 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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| 77 | try: |
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| 78 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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| 79 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 80 | timedelta(minutes=timezone_offset) |
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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_END_DATETIME") |
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| 84 | |||
| 85 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 86 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 87 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 88 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 89 | |||
| 90 | if reporting_start_datetime_local is None: |
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| 91 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 92 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 93 | else: |
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| 94 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 95 | try: |
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| 96 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 97 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 98 | timedelta(minutes=timezone_offset) |
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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_START_DATETIME") |
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| 102 | |||
| 103 | if reporting_end_datetime_local is None: |
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| 104 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 105 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 106 | else: |
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| 107 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 108 | try: |
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| 109 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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| 110 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 111 | timedelta(minutes=timezone_offset) |
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| 112 | except ValueError: |
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| 113 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 114 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 115 | |||
| 116 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 117 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 118 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 119 | |||
| 120 | ################################################################################################################ |
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| 121 | # Step 2: query the store |
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| 122 | ################################################################################################################ |
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| 123 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 124 | cursor_system = cnx_system.cursor() |
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| 125 | |||
| 126 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 127 | cursor_energy = cnx_energy.cursor() |
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| 128 | |||
| 129 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
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| 130 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
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| 131 | |||
| 132 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 133 | cursor_historical = cnx_historical.cursor() |
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| 134 | |||
| 135 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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| 136 | " FROM tbl_stores " |
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| 137 | " WHERE id = %s ", (store_id,)) |
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| 138 | row_store = cursor_system.fetchone() |
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| 139 | if row_store 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_energy_baseline: |
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| 151 | cursor_energy_baseline.close() |
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| 152 | if cnx_energy_baseline: |
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| 153 | cnx_energy_baseline.disconnect() |
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| 154 | |||
| 155 | if cnx_historical: |
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| 156 | cnx_historical.close() |
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| 157 | if cursor_historical: |
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| 158 | cursor_historical.disconnect() |
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| 159 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.STORE_NOT_FOUND') |
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| 160 | |||
| 161 | store = dict() |
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| 162 | store['id'] = row_store[0] |
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| 163 | store['name'] = row_store[1] |
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| 164 | store['area'] = row_store[2] |
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| 165 | store['cost_center_id'] = row_store[3] |
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| 166 | |||
| 167 | ################################################################################################################ |
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| 168 | # Step 3: query energy categories |
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| 169 | ################################################################################################################ |
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| 170 | energy_category_set = set() |
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| 171 | # query energy categories in base period |
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| 172 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 173 | " FROM tbl_store_input_category_hourly " |
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| 174 | " WHERE store_id = %s " |
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| 175 | " AND start_datetime_utc >= %s " |
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| 176 | " AND start_datetime_utc < %s ", |
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| 177 | (store['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 178 | rows_energy_categories = cursor_energy.fetchall() |
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| 179 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 180 | for row_energy_category in rows_energy_categories: |
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| 181 | energy_category_set.add(row_energy_category[0]) |
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| 182 | |||
| 183 | # query energy categories in reporting period |
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| 184 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 185 | " FROM tbl_store_input_category_hourly " |
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| 186 | " WHERE store_id = %s " |
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| 187 | " AND start_datetime_utc >= %s " |
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| 188 | " AND start_datetime_utc < %s ", |
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| 189 | (store['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 190 | rows_energy_categories = cursor_energy.fetchall() |
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| 191 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 192 | for row_energy_category in rows_energy_categories: |
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| 193 | energy_category_set.add(row_energy_category[0]) |
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| 194 | |||
| 195 | # query all energy categories in base period and reporting period |
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| 196 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 197 | " FROM tbl_energy_categories " |
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| 198 | " ORDER BY id ", ) |
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| 199 | rows_energy_categories = cursor_system.fetchall() |
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| 200 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 201 | if cursor_system: |
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| 202 | cursor_system.close() |
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| 203 | if cnx_system: |
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| 204 | cnx_system.disconnect() |
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| 205 | |||
| 206 | if cursor_energy: |
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| 207 | cursor_energy.close() |
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| 208 | if cnx_energy: |
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| 209 | cnx_energy.disconnect() |
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| 210 | |||
| 211 | if cursor_energy_baseline: |
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| 212 | cursor_energy_baseline.close() |
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| 213 | if cnx_energy_baseline: |
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| 214 | cnx_energy_baseline.disconnect() |
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| 215 | |||
| 216 | if cnx_historical: |
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| 217 | cnx_historical.close() |
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| 218 | if cursor_historical: |
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| 219 | cursor_historical.disconnect() |
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| 220 | raise falcon.HTTPError(falcon.HTTP_404, |
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| 221 | title='API.NOT_FOUND', |
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| 222 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 223 | energy_category_dict = dict() |
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| 224 | for row_energy_category in rows_energy_categories: |
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| 225 | if row_energy_category[0] in energy_category_set: |
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| 226 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 227 | "unit_of_measure": row_energy_category[2], |
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| 228 | "kgce": row_energy_category[3], |
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| 229 | "kgco2e": row_energy_category[4]} |
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| 230 | |||
| 231 | ################################################################################################################ |
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| 232 | # Step 4: query associated sensors |
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| 233 | ################################################################################################################ |
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| 234 | point_list = list() |
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| 235 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 236 | " FROM tbl_stores st, tbl_sensors se, tbl_stores_sensors ss, " |
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| 237 | " tbl_points p, tbl_sensors_points sp " |
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| 238 | " WHERE st.id = %s AND st.id = ss.store_id AND ss.sensor_id = se.id " |
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| 239 | " AND se.id = sp.sensor_id AND sp.point_id = p.id " |
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| 240 | " ORDER BY p.id ", (store['id'],)) |
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| 241 | rows_points = cursor_system.fetchall() |
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| 242 | if rows_points is not None and len(rows_points) > 0: |
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| 243 | for row in rows_points: |
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| 244 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 245 | |||
| 246 | ################################################################################################################ |
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| 247 | # Step 5: query associated points |
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| 248 | ################################################################################################################ |
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| 249 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 250 | " FROM tbl_stores s, tbl_stores_points sp, tbl_points p " |
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| 251 | " WHERE s.id = %s AND s.id = sp.store_id AND sp.point_id = p.id " |
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| 252 | " ORDER BY p.id ", (store['id'],)) |
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| 253 | rows_points = cursor_system.fetchall() |
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| 254 | if rows_points is not None and len(rows_points) > 0: |
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| 255 | for row in rows_points: |
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| 256 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 257 | |||
| 258 | ################################################################################################################ |
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| 259 | # Step 6: query base period energy saving |
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| 260 | ################################################################################################################ |
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| 261 | base = dict() |
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| 262 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 263 | for energy_category_id in energy_category_set: |
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| 264 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 265 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 266 | |||
| 267 | base[energy_category_id] = dict() |
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| 268 | base[energy_category_id]['timestamps'] = list() |
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| 269 | base[energy_category_id]['values_baseline'] = list() |
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| 270 | base[energy_category_id]['values_actual'] = list() |
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| 271 | base[energy_category_id]['values_saving'] = list() |
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| 272 | base[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
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| 273 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
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| 274 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
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| 275 | base[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 276 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 277 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 278 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 279 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 280 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 281 | # query base period's energy baseline |
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| 282 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 283 | " FROM tbl_store_input_category_hourly " |
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| 284 | " WHERE store_id = %s " |
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| 285 | " AND energy_category_id = %s " |
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| 286 | " AND start_datetime_utc >= %s " |
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| 287 | " AND start_datetime_utc < %s " |
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| 288 | " ORDER BY start_datetime_utc ", |
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| 289 | (store['id'], |
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| 290 | energy_category_id, |
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| 291 | base_start_datetime_utc, |
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| 292 | base_end_datetime_utc)) |
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| 293 | rows_store_hourly = cursor_energy_baseline.fetchall() |
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| 294 | |||
| 295 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
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| 296 | base_start_datetime_utc, |
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| 297 | base_end_datetime_utc, |
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| 298 | period_type) |
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| 299 | for row_store_periodically in rows_store_periodically: |
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| 300 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 301 | timedelta(minutes=timezone_offset) |
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| 302 | if period_type == 'hourly': |
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| 303 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 304 | elif period_type == 'daily': |
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| 305 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 306 | elif period_type == 'monthly': |
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| 307 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 308 | elif period_type == 'yearly': |
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| 309 | current_datetime = current_datetime_local.strftime('%Y') |
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| 310 | |||
| 311 | baseline_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
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| 312 | base[energy_category_id]['timestamps'].append(current_datetime) |
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| 313 | base[energy_category_id]['values_baseline'].append(baseline_value) |
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| 314 | base[energy_category_id]['subtotal_baseline'] += baseline_value |
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| 315 | base[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 316 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 317 | |||
| 318 | # query base period's energy actual |
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| 319 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 320 | " FROM tbl_store_input_category_hourly " |
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| 321 | " WHERE store_id = %s " |
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| 322 | " AND energy_category_id = %s " |
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| 323 | " AND start_datetime_utc >= %s " |
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| 324 | " AND start_datetime_utc < %s " |
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| 325 | " ORDER BY start_datetime_utc ", |
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| 326 | (store['id'], |
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| 327 | energy_category_id, |
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| 328 | base_start_datetime_utc, |
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| 329 | base_end_datetime_utc)) |
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| 330 | rows_store_hourly = cursor_energy.fetchall() |
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| 331 | |||
| 332 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
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| 333 | base_start_datetime_utc, |
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| 334 | base_end_datetime_utc, |
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| 335 | period_type) |
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| 336 | for row_store_periodically in rows_store_periodically: |
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| 337 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 338 | timedelta(minutes=timezone_offset) |
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| 339 | if period_type == 'hourly': |
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| 340 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 341 | elif period_type == 'daily': |
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| 342 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 343 | elif period_type == 'monthly': |
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| 344 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 345 | elif period_type == 'yearly': |
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| 346 | current_datetime = current_datetime_local.strftime('%Y') |
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| 347 | |||
| 348 | actual_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
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| 349 | base[energy_category_id]['values_actual'].append(actual_value) |
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| 350 | base[energy_category_id]['subtotal_actual'] += actual_value |
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| 351 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
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| 352 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
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| 353 | |||
| 354 | # calculate base period's energy savings |
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| 355 | for i in range(len(base[energy_category_id]['values_baseline'])): |
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| 356 | base[energy_category_id]['values_saving'].append( |
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| 357 | base[energy_category_id]['values_baseline'][i] - |
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| 358 | base[energy_category_id]['values_actual'][i]) |
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| 359 | |||
| 360 | base[energy_category_id]['subtotal_saving'] = \ |
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| 361 | base[energy_category_id]['subtotal_baseline'] - \ |
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| 362 | base[energy_category_id]['subtotal_actual'] |
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| 363 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
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| 364 | base[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
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| 365 | base[energy_category_id]['subtotal_in_kgce_actual'] |
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| 366 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
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| 367 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
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| 368 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
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| 369 | ################################################################################################################ |
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| 370 | # Step 7: query reporting period energy saving |
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| 371 | ################################################################################################################ |
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| 372 | reporting = dict() |
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| 373 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 374 | for energy_category_id in energy_category_set: |
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| 375 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 376 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 377 | |||
| 378 | reporting[energy_category_id] = dict() |
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| 379 | reporting[energy_category_id]['timestamps'] = list() |
||
| 380 | reporting[energy_category_id]['values_baseline'] = list() |
||
| 381 | reporting[energy_category_id]['values_actual'] = list() |
||
| 382 | reporting[energy_category_id]['values_saving'] = list() |
||
| 383 | reporting[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
||
| 384 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
||
| 385 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
||
| 386 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
||
| 387 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
||
| 388 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
||
| 389 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
||
| 390 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
||
| 391 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
||
| 392 | # query reporting period's energy baseline |
||
| 393 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
||
| 394 | " FROM tbl_store_input_category_hourly " |
||
| 395 | " WHERE store_id = %s " |
||
| 396 | " AND energy_category_id = %s " |
||
| 397 | " AND start_datetime_utc >= %s " |
||
| 398 | " AND start_datetime_utc < %s " |
||
| 399 | " ORDER BY start_datetime_utc ", |
||
| 400 | (store['id'], |
||
| 401 | energy_category_id, |
||
| 402 | reporting_start_datetime_utc, |
||
| 403 | reporting_end_datetime_utc)) |
||
| 404 | rows_store_hourly = cursor_energy_baseline.fetchall() |
||
| 405 | |||
| 406 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
||
| 407 | reporting_start_datetime_utc, |
||
| 408 | reporting_end_datetime_utc, |
||
| 409 | period_type) |
||
| 410 | for row_store_periodically in rows_store_periodically: |
||
| 411 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 412 | timedelta(minutes=timezone_offset) |
||
| 413 | if period_type == 'hourly': |
||
| 414 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 415 | elif period_type == 'daily': |
||
| 416 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 417 | elif period_type == 'monthly': |
||
| 418 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 419 | elif period_type == 'yearly': |
||
| 420 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 421 | |||
| 422 | baseline_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
||
| 423 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
||
| 424 | reporting[energy_category_id]['values_baseline'].append(baseline_value) |
||
| 425 | reporting[energy_category_id]['subtotal_baseline'] += baseline_value |
||
| 426 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
||
| 427 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
||
| 428 | |||
| 429 | # query reporting period's energy actual |
||
| 430 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 431 | " FROM tbl_store_input_category_hourly " |
||
| 432 | " WHERE store_id = %s " |
||
| 433 | " AND energy_category_id = %s " |
||
| 434 | " AND start_datetime_utc >= %s " |
||
| 435 | " AND start_datetime_utc < %s " |
||
| 436 | " ORDER BY start_datetime_utc ", |
||
| 437 | (store['id'], |
||
| 438 | energy_category_id, |
||
| 439 | reporting_start_datetime_utc, |
||
| 440 | reporting_end_datetime_utc)) |
||
| 441 | rows_store_hourly = cursor_energy.fetchall() |
||
| 442 | |||
| 443 | rows_store_periodically = utilities.aggregate_hourly_data_by_period(rows_store_hourly, |
||
| 444 | reporting_start_datetime_utc, |
||
| 445 | reporting_end_datetime_utc, |
||
| 446 | period_type) |
||
| 447 | for row_store_periodically in rows_store_periodically: |
||
| 448 | current_datetime_local = row_store_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 449 | timedelta(minutes=timezone_offset) |
||
| 450 | if period_type == 'hourly': |
||
| 451 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 452 | elif period_type == 'daily': |
||
| 453 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 454 | elif period_type == 'monthly': |
||
| 455 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 456 | elif period_type == 'yearly': |
||
| 457 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 458 | |||
| 459 | actual_value = Decimal(0.0) if row_store_periodically[1] is None else row_store_periodically[1] |
||
| 460 | reporting[energy_category_id]['values_actual'].append(actual_value) |
||
| 461 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
||
| 462 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
||
| 463 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
||
| 464 | |||
| 465 | # calculate reporting period's energy savings |
||
| 466 | for i in range(len(reporting[energy_category_id]['values_baseline'])): |
||
| 467 | reporting[energy_category_id]['values_saving'].append( |
||
| 468 | reporting[energy_category_id]['values_baseline'][i] - |
||
| 469 | reporting[energy_category_id]['values_actual'][i]) |
||
| 470 | |||
| 471 | reporting[energy_category_id]['subtotal_saving'] = \ |
||
| 472 | reporting[energy_category_id]['subtotal_baseline'] - \ |
||
| 473 | reporting[energy_category_id]['subtotal_actual'] |
||
| 474 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
||
| 475 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
||
| 476 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
||
| 477 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
||
| 478 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
||
| 479 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
||
| 480 | ################################################################################################################ |
||
| 481 | # Step 8: query tariff data |
||
| 482 | ################################################################################################################ |
||
| 483 | parameters_data = dict() |
||
| 484 | parameters_data['names'] = list() |
||
| 485 | parameters_data['timestamps'] = list() |
||
| 486 | parameters_data['values'] = list() |
||
| 487 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 488 | for energy_category_id in energy_category_set: |
||
| 489 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(store['cost_center_id'], |
||
| 490 | energy_category_id, |
||
| 491 | reporting_start_datetime_utc, |
||
| 492 | reporting_end_datetime_utc) |
||
| 493 | tariff_timestamp_list = list() |
||
| 494 | tariff_value_list = list() |
||
| 495 | for k, v in energy_category_tariff_dict.items(): |
||
| 496 | # convert k from utc to local |
||
| 497 | k = k + timedelta(minutes=timezone_offset) |
||
| 498 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
||
| 499 | tariff_value_list.append(v) |
||
| 500 | |||
| 501 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
||
| 502 | parameters_data['timestamps'].append(tariff_timestamp_list) |
||
| 503 | parameters_data['values'].append(tariff_value_list) |
||
| 504 | |||
| 505 | ################################################################################################################ |
||
| 506 | # Step 9: query associated sensors and points data |
||
| 507 | ################################################################################################################ |
||
| 508 | for point in point_list: |
||
| 509 | point_values = [] |
||
| 510 | point_timestamps = [] |
||
| 511 | if point['object_type'] == 'ANALOG_VALUE': |
||
| 512 | query = (" SELECT utc_date_time, actual_value " |
||
| 513 | " FROM tbl_analog_value " |
||
| 514 | " WHERE point_id = %s " |
||
| 515 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 516 | " ORDER BY utc_date_time ") |
||
| 517 | cursor_historical.execute(query, (point['id'], |
||
| 518 | reporting_start_datetime_utc, |
||
| 519 | reporting_end_datetime_utc)) |
||
| 520 | rows = cursor_historical.fetchall() |
||
| 521 | |||
| 522 | if rows is not None and len(rows) > 0: |
||
| 523 | for row in rows: |
||
| 524 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 525 | timedelta(minutes=timezone_offset) |
||
| 526 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 527 | point_timestamps.append(current_datetime) |
||
| 528 | point_values.append(row[1]) |
||
| 529 | |||
| 530 | elif point['object_type'] == 'ENERGY_VALUE': |
||
| 531 | query = (" SELECT utc_date_time, actual_value " |
||
| 532 | " FROM tbl_energy_value " |
||
| 533 | " WHERE point_id = %s " |
||
| 534 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 535 | " ORDER BY utc_date_time ") |
||
| 536 | cursor_historical.execute(query, (point['id'], |
||
| 537 | reporting_start_datetime_utc, |
||
| 538 | reporting_end_datetime_utc)) |
||
| 539 | rows = cursor_historical.fetchall() |
||
| 540 | |||
| 541 | if rows is not None and len(rows) > 0: |
||
| 542 | for row in rows: |
||
| 543 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 544 | timedelta(minutes=timezone_offset) |
||
| 545 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 546 | point_timestamps.append(current_datetime) |
||
| 547 | point_values.append(row[1]) |
||
| 548 | elif point['object_type'] == 'DIGITAL_VALUE': |
||
| 549 | query = (" SELECT utc_date_time, actual_value " |
||
| 550 | " FROM tbl_digital_value " |
||
| 551 | " WHERE point_id = %s " |
||
| 552 | " AND utc_date_time BETWEEN %s AND %s ") |
||
| 553 | cursor_historical.execute(query, (point['id'], |
||
| 554 | reporting_start_datetime_utc, |
||
| 555 | reporting_end_datetime_utc)) |
||
| 556 | rows = cursor_historical.fetchall() |
||
| 557 | |||
| 558 | if rows is not None and len(rows) > 0: |
||
| 559 | for row in rows: |
||
| 560 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 561 | timedelta(minutes=timezone_offset) |
||
| 562 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 563 | point_timestamps.append(current_datetime) |
||
| 564 | point_values.append(row[1]) |
||
| 565 | |||
| 566 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 567 | parameters_data['timestamps'].append(point_timestamps) |
||
| 568 | parameters_data['values'].append(point_values) |
||
| 569 | |||
| 570 | ################################################################################################################ |
||
| 571 | # Step 10: construct the report |
||
| 572 | ################################################################################################################ |
||
| 573 | if cursor_system: |
||
| 574 | cursor_system.close() |
||
| 575 | if cnx_system: |
||
| 576 | cnx_system.disconnect() |
||
| 577 | |||
| 578 | if cursor_energy: |
||
| 579 | cursor_energy.close() |
||
| 580 | if cnx_energy: |
||
| 581 | cnx_energy.disconnect() |
||
| 582 | |||
| 583 | if cursor_energy_baseline: |
||
| 584 | cursor_energy_baseline.close() |
||
| 585 | if cnx_energy_baseline: |
||
| 586 | cnx_energy_baseline.disconnect() |
||
| 587 | |||
| 588 | result = dict() |
||
| 589 | |||
| 590 | result['store'] = dict() |
||
| 591 | result['store']['name'] = store['name'] |
||
| 592 | result['store']['area'] = store['area'] |
||
| 593 | |||
| 594 | result['base_period'] = dict() |
||
| 595 | result['base_period']['names'] = list() |
||
| 596 | result['base_period']['units'] = list() |
||
| 597 | result['base_period']['timestamps'] = list() |
||
| 598 | result['base_period']['values_saving'] = list() |
||
| 599 | result['base_period']['subtotals_saving'] = list() |
||
| 600 | result['base_period']['subtotals_in_kgce_saving'] = list() |
||
| 601 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 602 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 603 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 604 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 605 | for energy_category_id in energy_category_set: |
||
| 606 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 607 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 608 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
||
| 609 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
||
| 610 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
||
| 611 | result['base_period']['subtotals_in_kgce_saving'].append( |
||
| 612 | base[energy_category_id]['subtotal_in_kgce_saving']) |
||
| 613 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
||
| 614 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
||
| 615 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
||
| 616 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
||
| 617 | |||
| 618 | result['reporting_period'] = dict() |
||
| 619 | result['reporting_period']['names'] = list() |
||
| 620 | result['reporting_period']['energy_category_ids'] = list() |
||
| 621 | result['reporting_period']['units'] = list() |
||
| 622 | result['reporting_period']['timestamps'] = list() |
||
| 623 | result['reporting_period']['values_saving'] = list() |
||
| 624 | result['reporting_period']['subtotals_saving'] = list() |
||
| 625 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
||
| 626 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 627 | result['reporting_period']['subtotals_per_unit_area_saving'] = list() |
||
| 628 | result['reporting_period']['increment_rates_saving'] = list() |
||
| 629 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 630 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 631 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
||
| 632 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
||
| 633 | |||
| 634 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 635 | for energy_category_id in energy_category_set: |
||
| 636 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 637 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
||
| 638 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 639 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
||
| 640 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
||
| 641 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
||
| 642 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
||
| 643 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
||
| 644 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
||
| 645 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
||
| 646 | result['reporting_period']['subtotals_per_unit_area_saving'].append( |
||
| 647 | reporting[energy_category_id]['subtotal_saving'] / store['area'] if store['area'] > 0.0 else None) |
||
| 648 | result['reporting_period']['increment_rates_saving'].append( |
||
| 649 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
||
| 650 | base[energy_category_id]['subtotal_saving'] |
||
| 651 | if base[energy_category_id]['subtotal_saving'] > 0.0 else None) |
||
| 652 | result['reporting_period']['total_in_kgce_saving'] += \ |
||
| 653 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
||
| 654 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
||
| 655 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
||
| 656 | |||
| 657 | result['reporting_period']['total_in_kgco2e_per_unit_area_saving'] = \ |
||
| 658 | result['reporting_period']['total_in_kgce_saving'] / store['area'] if store['area'] > 0.0 else None |
||
| 659 | |||
| 660 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
||
| 661 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
||
| 662 | result['base_period']['total_in_kgce_saving'] \ |
||
| 663 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
||
| 664 | |||
| 665 | result['reporting_period']['total_in_kgce_per_unit_area_saving'] = \ |
||
| 666 | result['reporting_period']['total_in_kgco2e_saving'] / store['area'] if store['area'] > 0.0 else None |
||
| 667 | |||
| 668 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
||
| 669 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
||
| 670 | result['base_period']['total_in_kgco2e_saving'] \ |
||
| 671 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
||
| 672 | |||
| 673 | result['parameters'] = { |
||
| 674 | "names": parameters_data['names'], |
||
| 675 | "timestamps": parameters_data['timestamps'], |
||
| 676 | "values": parameters_data['values'] |
||
| 677 | } |
||
| 678 | |||
| 679 | resp.body = json.dumps(result) |
||
| 680 |
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