MyEMS /
myems
| Total Complexity | 97 |
| Total Lines | 628 |
| Duplicated Lines | 12.58 % |
| 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.metersaving often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import re |
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| 2 | import falcon |
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| 3 | import simplejson as json |
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| 4 | import mysql.connector |
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| 5 | import config |
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| 6 | from datetime import datetime, timedelta, timezone |
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| 7 | from core import utilities |
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| 8 | from decimal import Decimal |
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| 9 | import excelexporters.metersaving |
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| 10 | |||
| 11 | |||
| 12 | class Reporting: |
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| 13 | @staticmethod |
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| 14 | def __init__(): |
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| 15 | """Initializes Class""" |
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| 16 | pass |
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| 17 | |||
| 18 | @staticmethod |
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| 19 | def on_options(req, resp): |
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| 20 | resp.status = falcon.HTTP_200 |
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| 21 | |||
| 22 | #################################################################################################################### |
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| 23 | # PROCEDURES |
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| 24 | # Step 1: valid parameters |
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| 25 | # Step 2: query the meter and energy category |
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| 26 | # Step 3: query associated points |
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| 27 | # Step 4: query base period energy saving |
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| 28 | # Step 5: query reporting period energy saving |
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| 29 | # Step 6: query tariff data |
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| 30 | # Step 7: query associated points data |
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| 31 | # Step 8: construct the report |
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| 32 | #################################################################################################################### |
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| 33 | @staticmethod |
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| 34 | def on_get(req, resp): |
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| 35 | print(req.params) |
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| 36 | meter_id = req.params.get('meterid') |
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| 37 | meter_uuid = req.params.get('meteruuid') |
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| 38 | period_type = req.params.get('periodtype') |
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| 39 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 40 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 41 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 42 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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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 meter_id is None and 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_METER_ID') |
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| 52 | |||
| 53 | if meter_id is not None: |
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| 54 | meter_id = str.strip(meter_id) |
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| 55 | if not meter_id.isdigit() or int(meter_id) <= 0: |
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| 56 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 57 | title='API.BAD_REQUEST', |
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| 58 | description='API.INVALID_METER_ID') |
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| 59 | |||
| 60 | if meter_uuid is not None: |
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| 61 | regex = re.compile('^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
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| 62 | match = regex.match(str.strip(meter_uuid)) |
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| 63 | if not bool(match): |
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| 64 | raise falcon.HTTPError(falcon.HTTP_400, |
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| 65 | title='API.BAD_REQUEST', |
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| 66 | description='API.INVALID_METER_UUID') |
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| 67 | |||
| 68 | if period_type is None: |
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| 69 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 70 | else: |
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| 71 | period_type = str.strip(period_type) |
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| 72 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 73 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 74 | |||
| 75 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 76 | if config.utc_offset[0] == '-': |
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| 77 | timezone_offset = -timezone_offset |
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| 78 | |||
| 79 | base_start_datetime_utc = None |
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| 80 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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| 81 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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| 82 | try: |
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| 83 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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| 84 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 85 | timedelta(minutes=timezone_offset) |
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| 86 | except ValueError: |
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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_START_DATETIME") |
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| 89 | |||
| 90 | base_end_datetime_utc = None |
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| 91 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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| 92 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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| 93 | try: |
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| 94 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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| 95 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 96 | timedelta(minutes=timezone_offset) |
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| 97 | except ValueError: |
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| 98 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 99 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 100 | |||
| 101 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 102 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 105 | |||
| 106 | if reporting_start_datetime_local is None: |
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| 107 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 108 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 109 | else: |
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| 110 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 111 | try: |
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| 112 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 113 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 114 | timedelta(minutes=timezone_offset) |
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| 115 | except ValueError: |
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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_START_DATETIME") |
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| 118 | |||
| 119 | if reporting_end_datetime_local is None: |
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| 120 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 121 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 122 | else: |
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| 123 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 124 | try: |
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| 125 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
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| 126 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 127 | timedelta(minutes=timezone_offset) |
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| 128 | except ValueError: |
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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 reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 133 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 134 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 135 | |||
| 136 | # if turn quick mode on, do not return parameters data and excel file |
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| 137 | is_quick_mode = False |
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| 138 | if quick_mode is not None and \ |
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| 139 | len(str.strip(quick_mode)) > 0 and \ |
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| 140 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 141 | is_quick_mode = True |
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| 142 | |||
| 143 | ################################################################################################################ |
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| 144 | # Step 2: query the meter and energy category |
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| 145 | ################################################################################################################ |
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| 146 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 147 | cursor_system = cnx_system.cursor() |
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| 148 | |||
| 149 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 150 | cursor_energy = cnx_energy.cursor() |
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| 151 | |||
| 152 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
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| 153 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
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| 154 | |||
| 155 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 156 | cursor_historical = cnx_historical.cursor() |
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| 157 | if meter_id is not None: |
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| 158 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 159 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 160 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 161 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,)) |
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| 162 | row_meter = cursor_system.fetchone() |
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| 163 | elif meter_uuid is not None: |
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| 164 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 165 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 166 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 167 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid,)) |
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| 168 | row_meter = cursor_system.fetchone() |
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| 169 | |||
| 170 | if row_meter is None: |
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|
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| 171 | if cursor_system: |
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| 172 | cursor_system.close() |
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| 173 | if cnx_system: |
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| 174 | cnx_system.close() |
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| 175 | |||
| 176 | if cursor_energy: |
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| 177 | cursor_energy.close() |
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| 178 | if cnx_energy: |
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| 179 | cnx_energy.close() |
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| 180 | |||
| 181 | if cursor_energy_baseline: |
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| 182 | cursor_energy_baseline.close() |
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| 183 | if cnx_energy_baseline: |
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| 184 | cnx_energy_baseline.close() |
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| 185 | |||
| 186 | if cursor_historical: |
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| 187 | cursor_historical.close() |
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| 188 | if cnx_historical: |
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| 189 | cnx_historical.close() |
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| 190 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 191 | |||
| 192 | meter = dict() |
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| 193 | meter['id'] = row_meter[0] |
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| 194 | meter['name'] = row_meter[1] |
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| 195 | meter['cost_center_id'] = row_meter[2] |
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| 196 | meter['energy_category_id'] = row_meter[3] |
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| 197 | meter['energy_category_name'] = row_meter[4] |
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| 198 | meter['unit_of_measure'] = row_meter[5] |
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| 199 | meter['kgce'] = row_meter[6] |
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| 200 | meter['kgco2e'] = row_meter[7] |
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| 201 | ################################################################################################################ |
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| 202 | # Step 3: query associated points |
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| 203 | ################################################################################################################ |
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| 204 | point_list = list() |
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| 205 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 206 | " FROM tbl_meters me, tbl_meters_points mepo, tbl_points po " |
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| 207 | " WHERE me.id = %s AND me.id = mepo.meter_id AND mepo.point_id = po.id " |
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| 208 | " ORDER BY po.id ", (meter['id'],)) |
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| 209 | rows_points = cursor_system.fetchall() |
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| 210 | if rows_points is not None and len(rows_points) > 0: |
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| 211 | for row in rows_points: |
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| 212 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 213 | |||
| 214 | ################################################################################################################ |
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| 215 | # Step 4: query base period energy saving |
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| 216 | ################################################################################################################ |
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| 217 | kgce = meter['kgce'] |
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| 218 | kgco2e = meter['kgco2e'] |
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| 219 | base = dict() |
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| 220 | base['timestamps'] = list() |
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| 221 | base['values_baseline'] = list() |
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| 222 | base['values_actual'] = list() |
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| 223 | base['values_saving'] = list() |
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| 224 | base['subtotal_baseline'] = Decimal(0.0) |
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| 225 | base['subtotal_actual'] = Decimal(0.0) |
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| 226 | base['subtotal_saving'] = Decimal(0.0) |
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| 227 | base['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 228 | base['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 229 | base['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 230 | base['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 231 | base['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 232 | base['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 233 | # query base period's energy baseline |
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| 234 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 235 | " FROM tbl_meter_hourly " |
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| 236 | " WHERE meter_id = %s " |
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| 237 | " AND start_datetime_utc >= %s " |
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| 238 | " AND start_datetime_utc < %s " |
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| 239 | " ORDER BY start_datetime_utc ", |
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| 240 | (meter['id'], |
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| 241 | base_start_datetime_utc, |
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| 242 | base_end_datetime_utc)) |
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| 243 | rows_meter_hourly = cursor_energy_baseline.fetchall() |
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| 244 | |||
| 245 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 246 | base_start_datetime_utc, |
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| 247 | base_end_datetime_utc, |
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| 248 | period_type) |
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| 249 | for row_meter_periodically in rows_meter_periodically: |
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| 250 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 251 | timedelta(minutes=timezone_offset) |
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| 252 | if period_type == 'hourly': |
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| 253 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 254 | elif period_type == 'daily': |
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| 255 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 256 | elif period_type == 'weekly': |
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| 257 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 258 | elif period_type == 'monthly': |
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| 259 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 260 | elif period_type == 'yearly': |
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| 261 | current_datetime = current_datetime_local.strftime('%Y') |
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| 262 | |||
| 263 | baseline_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
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| 264 | base['timestamps'].append(current_datetime) |
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| 265 | base['values_baseline'].append(baseline_value) |
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| 266 | base['subtotal_baseline'] += baseline_value |
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| 267 | base['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 268 | base['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 269 | |||
| 270 | # query base period's energy actual |
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| 271 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 272 | " FROM tbl_meter_hourly " |
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| 273 | " WHERE meter_id = %s " |
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| 274 | " AND start_datetime_utc >= %s " |
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| 275 | " AND start_datetime_utc < %s " |
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| 276 | " ORDER BY start_datetime_utc ", |
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| 277 | (meter['id'], |
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| 278 | base_start_datetime_utc, |
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| 279 | base_end_datetime_utc)) |
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| 280 | rows_meter_hourly = cursor_energy.fetchall() |
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| 281 | |||
| 282 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 283 | base_start_datetime_utc, |
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| 284 | base_end_datetime_utc, |
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| 285 | period_type) |
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| 286 | for row_meter_periodically in rows_meter_periodically: |
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| 287 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 288 | timedelta(minutes=timezone_offset) |
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| 289 | if period_type == 'hourly': |
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| 290 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 291 | elif period_type == 'daily': |
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| 292 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 293 | elif period_type == 'weekly': |
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| 294 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 295 | elif period_type == 'monthly': |
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| 296 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 297 | elif period_type == 'yearly': |
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| 298 | current_datetime = current_datetime_local.strftime('%Y') |
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| 299 | |||
| 300 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
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| 301 | base['values_actual'].append(actual_value) |
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| 302 | base['subtotal_actual'] += actual_value |
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| 303 | base['subtotal_in_kgce_actual'] += actual_value * kgce |
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| 304 | base['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
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| 305 | # calculate base period's energy savings |
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| 306 | for i in range(len(base['values_baseline'])): |
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| 307 | base['values_saving'].append( |
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| 308 | base['values_baseline'][i] - |
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| 309 | base['values_actual'][i]) |
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| 310 | |||
| 311 | base['subtotal_saving'] = \ |
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| 312 | base['subtotal_baseline'] - \ |
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| 313 | base['subtotal_actual'] |
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| 314 | base['subtotal_in_kgce_saving'] = \ |
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| 315 | base['subtotal_in_kgce_baseline'] - \ |
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| 316 | base['subtotal_in_kgce_actual'] |
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| 317 | base['subtotal_in_kgco2e_saving'] = \ |
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| 318 | base['subtotal_in_kgco2e_baseline'] - \ |
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| 319 | base['subtotal_in_kgco2e_actual'] |
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| 320 | ################################################################################################################ |
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| 321 | # Step 5: query reporting period energy saving |
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| 322 | ################################################################################################################ |
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| 323 | reporting = dict() |
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| 324 | kgce = meter['kgce'] |
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| 325 | kgco2e = meter['kgco2e'] |
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| 326 | |||
| 327 | reporting = dict() |
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| 328 | reporting['timestamps'] = list() |
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| 329 | reporting['values_baseline'] = list() |
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| 330 | reporting['values_actual'] = list() |
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| 331 | reporting['values_saving'] = list() |
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| 332 | reporting['subtotal_baseline'] = Decimal(0.0) |
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| 333 | reporting['subtotal_actual'] = Decimal(0.0) |
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| 334 | reporting['subtotal_saving'] = Decimal(0.0) |
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| 335 | reporting['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 336 | reporting['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 337 | reporting['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 338 | reporting['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 339 | reporting['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 340 | reporting['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 341 | # query reporting period's energy baseline |
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| 342 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 343 | " FROM tbl_meter_hourly " |
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| 344 | " WHERE meter_id = %s " |
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| 345 | " AND start_datetime_utc >= %s " |
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| 346 | " AND start_datetime_utc < %s " |
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| 347 | " ORDER BY start_datetime_utc ", |
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| 348 | (meter['id'], |
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| 349 | reporting_start_datetime_utc, |
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| 350 | reporting_end_datetime_utc)) |
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| 351 | rows_meter_hourly = cursor_energy_baseline.fetchall() |
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| 352 | |||
| 353 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 354 | reporting_start_datetime_utc, |
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| 355 | reporting_end_datetime_utc, |
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| 356 | period_type) |
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| 357 | for row_meter_periodically in rows_meter_periodically: |
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| 358 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 359 | timedelta(minutes=timezone_offset) |
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| 360 | if period_type == 'hourly': |
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| 361 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 362 | elif period_type == 'daily': |
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| 363 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 364 | elif period_type == 'weekly': |
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| 365 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 366 | elif period_type == 'monthly': |
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| 367 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 368 | elif period_type == 'yearly': |
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| 369 | current_datetime = current_datetime_local.strftime('%Y') |
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| 370 | |||
| 371 | baseline_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
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| 372 | reporting['timestamps'].append(current_datetime) |
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| 373 | reporting['values_baseline'].append(baseline_value) |
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| 374 | reporting['subtotal_baseline'] += baseline_value |
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| 375 | reporting['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 376 | reporting['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 377 | |||
| 378 | # query reporting period's energy actual |
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| 379 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 380 | " FROM tbl_meter_hourly " |
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| 381 | " WHERE meter_id = %s " |
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| 382 | " AND start_datetime_utc >= %s " |
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| 383 | " AND start_datetime_utc < %s " |
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| 384 | " ORDER BY start_datetime_utc ", |
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| 385 | (meter['id'], |
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| 386 | reporting_start_datetime_utc, |
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| 387 | reporting_end_datetime_utc)) |
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| 388 | rows_meter_hourly = cursor_energy.fetchall() |
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| 389 | |||
| 390 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 391 | reporting_start_datetime_utc, |
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| 392 | reporting_end_datetime_utc, |
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| 393 | period_type) |
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| 394 | for row_meter_periodically in rows_meter_periodically: |
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| 395 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None else row_meter_periodically[1] |
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| 396 | reporting['values_actual'].append(actual_value) |
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| 397 | reporting['subtotal_actual'] += actual_value |
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| 398 | reporting['subtotal_in_kgce_actual'] += actual_value * kgce |
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| 399 | reporting['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
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| 400 | |||
| 401 | # calculate reporting period's energy savings |
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| 402 | for i in range(len(reporting['values_baseline'])): |
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| 403 | reporting['values_saving'].append( |
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| 404 | reporting['values_baseline'][i] - |
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| 405 | reporting['values_actual'][i]) |
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| 406 | |||
| 407 | reporting['subtotal_saving'] = \ |
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| 408 | reporting['subtotal_baseline'] - \ |
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| 409 | reporting['subtotal_actual'] |
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| 410 | reporting['subtotal_in_kgce_saving'] = \ |
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| 411 | reporting['subtotal_in_kgce_baseline'] - \ |
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| 412 | reporting['subtotal_in_kgce_actual'] |
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| 413 | reporting['subtotal_in_kgco2e_saving'] = \ |
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| 414 | reporting['subtotal_in_kgco2e_baseline'] - \ |
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| 415 | reporting['subtotal_in_kgco2e_actual'] |
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| 416 | ################################################################################################################ |
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| 417 | # Step 6: query tariff data |
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| 418 | ################################################################################################################ |
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| 419 | parameters_data = dict() |
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| 420 | parameters_data['names'] = list() |
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| 421 | parameters_data['timestamps'] = list() |
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| 422 | parameters_data['values'] = list() |
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| 423 | energy_category_id = meter['energy_category_id'] |
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| 424 | View Code Duplication | if not is_quick_mode: |
|
| 425 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'], |
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| 426 | energy_category_id, |
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| 427 | reporting_start_datetime_utc, |
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| 428 | reporting_end_datetime_utc) |
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| 429 | tariff_timestamp_list = list() |
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| 430 | tariff_value_list = list() |
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| 431 | for key, value in energy_category_tariff_dict.items(): |
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| 432 | # convert k from utc to local |
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| 433 | key = key + timedelta(minutes=timezone_offset) |
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| 434 | tariff_timestamp_list.append(key.isoformat()[0:19][0:19]) |
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| 435 | tariff_value_list.append(value) |
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| 436 | |||
| 437 | parameters_data['names'].append('TARIFF-' + meter['name']) |
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| 438 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 439 | parameters_data['values'].append(tariff_value_list) |
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| 440 | ################################################################################################################ |
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| 441 | # Step 7: query associated points data |
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| 442 | ################################################################################################################ |
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| 443 | View Code Duplication | if not is_quick_mode: |
|
| 444 | for point in point_list: |
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| 445 | point_values = [] |
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| 446 | point_timestamps = [] |
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| 447 | if point['object_type'] == 'ANALOG_VALUE': |
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| 448 | query = (" SELECT utc_date_time, actual_value " |
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| 449 | " FROM tbl_analog_value " |
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| 450 | " WHERE point_id = %s " |
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| 451 | " AND utc_date_time BETWEEN %s AND %s " |
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| 452 | " ORDER BY utc_date_time ") |
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| 453 | cursor_historical.execute(query, (point['id'], |
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| 454 | reporting_start_datetime_utc, |
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| 455 | reporting_end_datetime_utc)) |
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| 456 | rows = cursor_historical.fetchall() |
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| 457 | |||
| 458 | if rows is not None and len(rows) > 0: |
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| 459 | for row in rows: |
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| 460 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 461 | timedelta(minutes=timezone_offset) |
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| 462 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 463 | point_timestamps.append(current_datetime) |
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| 464 | point_values.append(row[1]) |
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| 465 | |||
| 466 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 467 | query = (" SELECT utc_date_time, actual_value " |
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| 468 | " FROM tbl_energy_value " |
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| 469 | " WHERE point_id = %s " |
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| 470 | " AND utc_date_time BETWEEN %s AND %s " |
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| 471 | " ORDER BY utc_date_time ") |
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| 472 | cursor_historical.execute(query, (point['id'], |
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| 473 | reporting_start_datetime_utc, |
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| 474 | reporting_end_datetime_utc)) |
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| 475 | rows = cursor_historical.fetchall() |
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| 476 | |||
| 477 | if rows is not None and len(rows) > 0: |
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| 478 | for row in rows: |
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| 479 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 480 | timedelta(minutes=timezone_offset) |
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| 481 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 482 | point_timestamps.append(current_datetime) |
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| 483 | point_values.append(row[1]) |
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| 484 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 485 | query = (" SELECT utc_date_time, actual_value " |
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| 486 | " FROM tbl_digital_value " |
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| 487 | " WHERE point_id = %s " |
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| 488 | " AND utc_date_time BETWEEN %s AND %s " |
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| 489 | " ORDER BY utc_date_time ") |
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| 490 | cursor_historical.execute(query, (point['id'], |
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| 491 | reporting_start_datetime_utc, |
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| 492 | reporting_end_datetime_utc)) |
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| 493 | rows = cursor_historical.fetchall() |
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| 494 | |||
| 495 | if rows is not None and len(rows) > 0: |
||
| 496 | for row in rows: |
||
| 497 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 498 | timedelta(minutes=timezone_offset) |
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| 499 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 500 | point_timestamps.append(current_datetime) |
||
| 501 | point_values.append(row[1]) |
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| 502 | |||
| 503 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
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| 504 | parameters_data['timestamps'].append(point_timestamps) |
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| 505 | parameters_data['values'].append(point_values) |
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| 506 | ################################################################################################################ |
||
| 507 | # Step 8: construct the report |
||
| 508 | ################################################################################################################ |
||
| 509 | if cursor_system: |
||
| 510 | cursor_system.close() |
||
| 511 | if cnx_system: |
||
| 512 | cnx_system.close() |
||
| 513 | |||
| 514 | if cursor_energy: |
||
| 515 | cursor_energy.close() |
||
| 516 | if cnx_energy: |
||
| 517 | cnx_energy.close() |
||
| 518 | |||
| 519 | if cursor_energy_baseline: |
||
| 520 | cursor_energy_baseline.close() |
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| 521 | if cnx_energy_baseline: |
||
| 522 | cnx_energy_baseline.close() |
||
| 523 | |||
| 524 | if cursor_historical: |
||
| 525 | cursor_historical.close() |
||
| 526 | if cnx_historical: |
||
| 527 | cnx_historical.close() |
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| 528 | |||
| 529 | result = dict() |
||
| 530 | |||
| 531 | result['meter'] = dict() |
||
| 532 | result['meter']['name'] = meter['name'] |
||
| 533 | |||
| 534 | result['base_period'] = dict() |
||
| 535 | result['base_period']['names'] = list() |
||
| 536 | result['base_period']['units'] = list() |
||
| 537 | result['base_period']['timestamps'] = list() |
||
| 538 | result['base_period']['values_actual'] = list() |
||
| 539 | result['base_period']['values_baseline'] = list() |
||
| 540 | result['base_period']['values_saving'] = list() |
||
| 541 | result['base_period']['subtotals_actual'] = list() |
||
| 542 | result['base_period']['subtotals_baseline'] = list() |
||
| 543 | result['base_period']['subtotals_saving'] = list() |
||
| 544 | result['base_period']['subtotals_in_kgce_saving'] = list() |
||
| 545 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 546 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 547 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 548 | |||
| 549 | result['base_period']['names'] = meter['name'] |
||
| 550 | result['base_period']['units'] = meter['unit_of_measure'] |
||
| 551 | result['base_period']['timestamps'] = base['timestamps'] |
||
| 552 | result['base_period']['values_actual'] = base['values_actual'] |
||
| 553 | result['base_period']['values_baseline'] = base['values_baseline'] |
||
| 554 | result['base_period']['values_saving'] = base['values_saving'] |
||
| 555 | result['base_period']['subtotals_actual'] = base['subtotal_actual'] |
||
| 556 | result['base_period']['subtotals_baseline'] = base['subtotal_baseline'] |
||
| 557 | result['base_period']['subtotals_saving'] = base['subtotal_saving'] |
||
| 558 | result['base_period']['subtotals_in_kgce_saving'] = base['subtotal_in_kgce_saving'] |
||
| 559 | result['base_period']['subtotals_in_kgco2e_saving'] = base['subtotal_in_kgco2e_saving'] |
||
| 560 | result['base_period']['total_in_kgce_saving'] += base['subtotal_in_kgce_saving'] |
||
| 561 | result['base_period']['total_in_kgco2e_saving'] += base['subtotal_in_kgco2e_saving'] |
||
| 562 | |||
| 563 | result['reporting_period'] = dict() |
||
| 564 | result['reporting_period']['names'] = list() |
||
| 565 | result['reporting_period']['energy_category_ids'] = list() |
||
| 566 | result['reporting_period']['units'] = list() |
||
| 567 | result['reporting_period']['timestamps'] = list() |
||
| 568 | result['reporting_period']['values_actual'] = list() |
||
| 569 | result['reporting_period']['values_baseline'] = list() |
||
| 570 | result['reporting_period']['values_saving'] = list() |
||
| 571 | result['reporting_period']['subtotals_actual'] = list() |
||
| 572 | result['reporting_period']['subtotals_baseline'] = list() |
||
| 573 | result['reporting_period']['subtotals_saving'] = list() |
||
| 574 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
||
| 575 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 576 | result['reporting_period']['increment_rates_saving'] = list() |
||
| 577 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 578 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 579 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
||
| 580 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
||
| 581 | |||
| 582 | result['reporting_period']['names'] = meter['name'] |
||
| 583 | result['reporting_period']['energy_category_ids'] = energy_category_id |
||
| 584 | result['reporting_period']['units'] = meter['unit_of_measure'] |
||
| 585 | result['reporting_period']['timestamps'] = reporting['timestamps'] |
||
| 586 | result['reporting_period']['values_actual'] = reporting['values_actual'] |
||
| 587 | result['reporting_period']['values_baseline'] = reporting['values_baseline'] |
||
| 588 | result['reporting_period']['values_saving'] = reporting['values_saving'] |
||
| 589 | result['reporting_period']['subtotals_actual'] = reporting['subtotal_actual'] |
||
| 590 | result['reporting_period']['subtotals_baseline'] = reporting['subtotal_baseline'] |
||
| 591 | result['reporting_period']['subtotals_saving'] = reporting['subtotal_saving'] |
||
| 592 | result['reporting_period']['subtotals_in_kgce_saving'] = reporting['subtotal_in_kgce_saving'] |
||
| 593 | result['reporting_period']['subtotals_in_kgco2e_saving'] = reporting['subtotal_in_kgco2e_saving'] |
||
| 594 | result['reporting_period']['increment_rates_saving'] = ( |
||
| 595 | (reporting['subtotal_saving'] - base['subtotal_saving']) / |
||
| 596 | base['subtotal_saving'] |
||
| 597 | if base['subtotal_saving'] > 0.0 else None) |
||
| 598 | result['reporting_period']['total_in_kgce_saving'] += \ |
||
| 599 | reporting['subtotal_in_kgce_saving'] |
||
| 600 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
||
| 601 | reporting['subtotal_in_kgco2e_saving'] |
||
| 602 | |||
| 603 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
||
| 604 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
||
| 605 | result['base_period']['total_in_kgce_saving'] \ |
||
| 606 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
||
| 607 | |||
| 608 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
||
| 609 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
||
| 610 | result['base_period']['total_in_kgco2e_saving'] \ |
||
| 611 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
||
| 612 | |||
| 613 | result['parameters'] = { |
||
| 614 | "names": parameters_data['names'], |
||
| 615 | "timestamps": parameters_data['timestamps'], |
||
| 616 | "values": parameters_data['values'] |
||
| 617 | } |
||
| 618 | |||
| 619 | # export result to Excel file and then encode the file to base64 string |
||
| 620 | if not is_quick_mode: |
||
| 621 | result['excel_bytes_base64'] = excelexporters.metersaving.export(result, |
||
| 622 | meter['name'], |
||
| 623 | reporting_start_datetime_local, |
||
| 624 | reporting_end_datetime_local, |
||
| 625 | period_type) |
||
| 626 | |||
| 627 | resp.text = json.dumps(result) |
||
| 628 |
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