MyEMS /
myems
| Total Complexity | 73 |
| Total Lines | 468 |
| Duplicated Lines | 90.6 % |
| 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.virtualmetercarbon 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 | """ |
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| 2 | Virtual Meter Carbon Report API |
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| 3 | |||
| 4 | This module provides REST API endpoints for generating virtual meter carbon emissions reports. |
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| 5 | It analyzes carbon dioxide emissions from virtual meter readings, providing insights |
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| 6 | into environmental impact and carbon footprint reduction opportunities. |
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| 7 | |||
| 8 | Key Features: |
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| 9 | - Virtual meter carbon emissions analysis |
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| 10 | - Base period vs reporting period comparison |
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| 11 | - Time-of-use carbon breakdown |
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| 12 | - Carbon footprint calculations |
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| 13 | - Excel export functionality |
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| 14 | - Environmental impact assessment |
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| 15 | |||
| 16 | Report Components: |
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| 17 | - Virtual meter carbon emissions summary |
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| 18 | - Base period comparison data |
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| 19 | - Time-of-use carbon breakdown |
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| 20 | - Carbon footprint metrics |
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| 21 | - Environmental impact indicators |
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| 22 | - Reduction opportunity analysis |
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| 23 | |||
| 24 | The module uses Falcon framework for REST API and includes: |
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| 25 | - Database queries for carbon data |
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| 26 | - Carbon emission calculations |
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| 27 | - Time-of-use analysis |
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| 28 | - Excel export via excelexporters |
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| 29 | - Multi-language support |
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| 30 | - User authentication and authorization |
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| 31 | """ |
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| 32 | |||
| 33 | from datetime import datetime, timedelta, timezone |
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| 34 | from decimal import Decimal |
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| 35 | import falcon |
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| 36 | import mysql.connector |
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| 37 | import simplejson as json |
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| 38 | import config |
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| 39 | import excelexporters.virtualmetercarbon |
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| 40 | from core import utilities |
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| 41 | from core.useractivity import access_control, api_key_control |
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| 42 | |||
| 43 | |||
| 44 | View Code Duplication | class Reporting: |
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|
Duplication
introduced
by
|
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| 45 | def __init__(self): |
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| 46 | """"Initializes Reporting""" |
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| 47 | pass |
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| 48 | |||
| 49 | @staticmethod |
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| 50 | def on_options(req, resp): |
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| 51 | _ = req |
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| 52 | resp.status = falcon.HTTP_200 |
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| 53 | |||
| 54 | #################################################################################################################### |
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| 55 | # PROCEDURES |
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| 56 | # Step 1: valid parameters |
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| 57 | # Step 2: query the virtual meter and energy category |
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| 58 | # Step 3: query base period energy consumption |
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| 59 | # Step 4: query base period energy carbon dioxide emissions |
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| 60 | # Step 5: query reporting period energy consumption |
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| 61 | # Step 6: query reporting period energy carbon dioxide emissions |
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| 62 | # Step 7: query tariff data |
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| 63 | # Step 8: construct the report |
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| 64 | #################################################################################################################### |
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| 65 | @staticmethod |
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| 66 | def on_get(req, resp): |
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| 67 | if 'API-KEY' not in req.headers or \ |
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| 68 | not isinstance(req.headers['API-KEY'], str) or \ |
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| 69 | len(str.strip(req.headers['API-KEY'])) == 0: |
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| 70 | access_control(req) |
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| 71 | else: |
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| 72 | api_key_control(req) |
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| 73 | print(req.params) |
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| 74 | virtual_meter_id = req.params.get('virtualmeterid') |
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| 75 | period_type = req.params.get('periodtype') |
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| 76 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 77 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 78 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 79 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 80 | language = req.params.get('language') |
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| 81 | quick_mode = req.params.get('quickmode') |
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| 82 | |||
| 83 | ################################################################################################################ |
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| 84 | # Step 1: valid parameters |
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| 85 | ################################################################################################################ |
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| 86 | if virtual_meter_id is None: |
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| 87 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 88 | title='API.BAD_REQUEST', |
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| 89 | description='API.INVALID_VIRTUAL_METER_ID') |
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| 90 | else: |
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| 91 | virtual_meter_id = str.strip(virtual_meter_id) |
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| 92 | if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0: |
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| 93 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 94 | title='API.BAD_REQUEST', |
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| 95 | description='API.INVALID_VIRTUAL_METER_ID') |
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| 96 | |||
| 97 | if period_type is None: |
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| 98 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 99 | description='API.INVALID_PERIOD_TYPE') |
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| 100 | else: |
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| 101 | period_type = str.strip(period_type) |
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| 102 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 103 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description='API.INVALID_PERIOD_TYPE') |
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| 105 | |||
| 106 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 107 | if config.utc_offset[0] == '-': |
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| 108 | timezone_offset = -timezone_offset |
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| 109 | |||
| 110 | base_start_datetime_utc = None |
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| 111 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 112 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 113 | try: |
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| 114 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 115 | except ValueError: |
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| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 117 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 118 | base_start_datetime_utc = \ |
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| 119 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 120 | # nomalize the start datetime |
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| 121 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 122 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 123 | else: |
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| 124 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 125 | |||
| 126 | base_end_datetime_utc = None |
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| 127 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 128 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 129 | try: |
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| 130 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 131 | except ValueError: |
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| 132 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 133 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 134 | base_end_datetime_utc = \ |
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| 135 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 136 | |||
| 137 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 138 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 140 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 141 | |||
| 142 | if reporting_period_start_datetime_local is None: |
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| 143 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 144 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 145 | else: |
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| 146 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 147 | try: |
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| 148 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 149 | '%Y-%m-%dT%H:%M:%S') |
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| 150 | except ValueError: |
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| 151 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 152 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 153 | reporting_start_datetime_utc = \ |
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| 154 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 155 | # nomalize the start datetime |
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| 156 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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| 157 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 158 | else: |
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| 159 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 160 | |||
| 161 | if reporting_period_end_datetime_local is None: |
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| 162 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 163 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 164 | else: |
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| 165 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 166 | try: |
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| 167 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 168 | '%Y-%m-%dT%H:%M:%S') |
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| 169 | except ValueError: |
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| 170 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 171 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 172 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 173 | timedelta(minutes=timezone_offset) |
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| 174 | |||
| 175 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 176 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 177 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 178 | |||
| 179 | # if turn quick mode on, do not return parameters data and excel file |
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| 180 | is_quick_mode = False |
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| 181 | if quick_mode is not None and \ |
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| 182 | len(str.strip(quick_mode)) > 0 and \ |
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| 183 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 184 | is_quick_mode = True |
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| 185 | |||
| 186 | trans = utilities.get_translation(language) |
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| 187 | trans.install() |
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| 188 | _ = trans.gettext |
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| 189 | |||
| 190 | ################################################################################################################ |
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| 191 | # Step 2: query the virtual meter and energy category |
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| 192 | ################################################################################################################ |
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| 193 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 194 | cursor_system = cnx_system.cursor() |
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| 195 | |||
| 196 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 197 | cursor_energy = cnx_energy.cursor() |
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| 198 | |||
| 199 | cnx_carbon = mysql.connector.connect(**config.myems_carbon_db) |
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| 200 | cursor_carbon = cnx_carbon.cursor() |
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| 201 | |||
| 202 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 203 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 204 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
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| 205 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,)) |
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| 206 | row_virtual_meter = cursor_system.fetchone() |
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| 207 | if row_virtual_meter is None: |
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| 208 | if cursor_system: |
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| 209 | cursor_system.close() |
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| 210 | if cnx_system: |
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| 211 | cnx_system.close() |
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| 212 | |||
| 213 | if cursor_energy: |
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| 214 | cursor_energy.close() |
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| 215 | if cnx_energy: |
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| 216 | cnx_energy.close() |
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| 217 | |||
| 218 | if cursor_carbon: |
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| 219 | cursor_carbon.close() |
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| 220 | if cnx_carbon: |
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| 221 | cnx_carbon.close() |
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| 222 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
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| 223 | description='API.VIRTUAL_METER_NOT_FOUND') |
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| 224 | |||
| 225 | virtual_meter = dict() |
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| 226 | virtual_meter['id'] = row_virtual_meter[0] |
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| 227 | virtual_meter['name'] = row_virtual_meter[1] |
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| 228 | virtual_meter['cost_center_id'] = row_virtual_meter[2] |
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| 229 | virtual_meter['energy_category_id'] = row_virtual_meter[3] |
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| 230 | virtual_meter['energy_category_name'] = row_virtual_meter[4] |
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| 231 | virtual_meter['unit_of_measure'] = config.currency_unit |
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| 232 | virtual_meter['kgce'] = row_virtual_meter[6] |
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| 233 | virtual_meter['kgco2e'] = row_virtual_meter[7] |
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| 234 | |||
| 235 | ################################################################################################################ |
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| 236 | # Step 3: query base period energy consumption |
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| 237 | ################################################################################################################ |
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| 238 | query = (" SELECT start_datetime_utc, actual_value " |
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| 239 | " FROM tbl_virtual_meter_hourly " |
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| 240 | " WHERE virtual_meter_id = %s " |
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| 241 | " AND start_datetime_utc >= %s " |
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| 242 | " AND start_datetime_utc < %s " |
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| 243 | " ORDER BY start_datetime_utc ") |
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| 244 | cursor_energy.execute(query, (virtual_meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 245 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
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| 246 | |||
| 247 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 248 | base_start_datetime_utc, |
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| 249 | base_end_datetime_utc, |
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| 250 | period_type) |
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| 251 | base = dict() |
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| 252 | base['timestamps'] = list() |
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| 253 | base['values'] = list() |
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| 254 | base['total_in_category'] = Decimal(0.0) |
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| 255 | base['total_in_kgce'] = Decimal(0.0) |
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| 256 | base['total_in_kgco2e'] = Decimal(0.0) |
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| 257 | |||
| 258 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 259 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 260 | timedelta(minutes=timezone_offset) |
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| 261 | if period_type == 'hourly': |
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| 262 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 263 | elif period_type == 'daily': |
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| 264 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 265 | elif period_type == 'weekly': |
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| 266 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 267 | elif period_type == 'monthly': |
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| 268 | current_datetime = current_datetime_local.isoformat()[0:7] |
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| 269 | elif period_type == 'yearly': |
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| 270 | current_datetime = current_datetime_local.isoformat()[0:4] |
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| 271 | |||
| 272 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
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| 273 | else row_virtual_meter_periodically[1] |
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| 274 | base['timestamps'].append(current_datetime) |
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| 275 | base['total_in_kgce'] += actual_value * virtual_meter['kgce'] |
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| 276 | base['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e'] |
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| 277 | |||
| 278 | ################################################################################################################ |
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| 279 | # Step 4: query base period energy carbon dioxide emissions |
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| 280 | ################################################################################################################ |
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| 281 | query = (" SELECT start_datetime_utc, actual_value " |
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| 282 | " FROM tbl_virtual_meter_hourly " |
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| 283 | " WHERE virtual_meter_id = %s " |
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| 284 | " AND start_datetime_utc >= %s " |
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| 285 | " AND start_datetime_utc < %s " |
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| 286 | " ORDER BY start_datetime_utc ") |
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| 287 | cursor_carbon.execute(query, (virtual_meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 288 | rows_virtual_meter_hourly = cursor_carbon.fetchall() |
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| 289 | |||
| 290 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 291 | base_start_datetime_utc, |
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| 292 | base_end_datetime_utc, |
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| 293 | period_type) |
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| 294 | |||
| 295 | base['values'] = list() |
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| 296 | base['total_in_category'] = Decimal(0.0) |
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| 297 | |||
| 298 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 299 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
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| 300 | else row_virtual_meter_periodically[1] |
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| 301 | base['values'].append(actual_value) |
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| 302 | base['total_in_category'] += actual_value |
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| 303 | |||
| 304 | ################################################################################################################ |
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| 305 | # Step 5: query reporting period energy consumption |
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| 306 | ################################################################################################################ |
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| 307 | query = (" SELECT start_datetime_utc, actual_value " |
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| 308 | " FROM tbl_virtual_meter_hourly " |
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| 309 | " WHERE virtual_meter_id = %s " |
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| 310 | " AND start_datetime_utc >= %s " |
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| 311 | " AND start_datetime_utc < %s " |
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| 312 | " ORDER BY start_datetime_utc ") |
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| 313 | cursor_energy.execute(query, (virtual_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 314 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
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| 315 | |||
| 316 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 317 | reporting_start_datetime_utc, |
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| 318 | reporting_end_datetime_utc, |
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| 319 | period_type) |
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| 320 | reporting = dict() |
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| 321 | reporting['timestamps'] = list() |
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| 322 | reporting['values'] = list() |
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| 323 | reporting['rates'] = list() |
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| 324 | reporting['total_in_category'] = Decimal(0.0) |
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| 325 | reporting['total_in_kgce'] = Decimal(0.0) |
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| 326 | reporting['total_in_kgco2e'] = Decimal(0.0) |
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| 327 | |||
| 328 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 329 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 330 | timedelta(minutes=timezone_offset) |
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| 331 | if period_type == 'hourly': |
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| 332 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 333 | elif period_type == 'daily': |
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| 334 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 335 | elif period_type == 'weekly': |
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| 336 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 337 | elif period_type == 'monthly': |
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| 338 | current_datetime = current_datetime_local.isoformat()[0:7] |
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| 339 | elif period_type == 'yearly': |
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| 340 | current_datetime = current_datetime_local.isoformat()[0:4] |
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| 341 | |||
| 342 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
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| 343 | else row_virtual_meter_periodically[1] |
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| 344 | |||
| 345 | reporting['timestamps'].append(current_datetime) |
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| 346 | reporting['total_in_kgce'] += actual_value * virtual_meter['kgce'] |
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| 347 | reporting['total_in_kgco2e'] += actual_value * virtual_meter['kgco2e'] |
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| 348 | |||
| 349 | ################################################################################################################ |
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| 350 | # Step 6: query reporting period energy carbon dioxide emissions |
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| 351 | ################################################################################################################ |
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| 352 | query = (" SELECT start_datetime_utc, actual_value " |
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| 353 | " FROM tbl_virtual_meter_hourly " |
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| 354 | " WHERE virtual_meter_id = %s " |
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| 355 | " AND start_datetime_utc >= %s " |
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| 356 | " AND start_datetime_utc < %s " |
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| 357 | " ORDER BY start_datetime_utc ") |
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| 358 | cursor_carbon.execute(query, (virtual_meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 359 | rows_virtual_meter_hourly = cursor_carbon.fetchall() |
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| 360 | |||
| 361 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
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| 362 | reporting_start_datetime_utc, |
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| 363 | reporting_end_datetime_utc, |
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| 364 | period_type) |
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| 365 | |||
| 366 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
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| 367 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
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| 368 | else row_virtual_meter_periodically[1] |
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| 369 | |||
| 370 | reporting['values'].append(actual_value) |
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| 371 | reporting['total_in_category'] += actual_value |
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| 372 | |||
| 373 | for index, value in enumerate(reporting['values']): |
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| 374 | if index < len(base['values']) and base['values'][index] != 0 and value != 0: |
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| 375 | reporting['rates'].append((value - base['values'][index]) / base['values'][index]) |
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| 376 | else: |
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| 377 | reporting['rates'].append(None) |
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| 378 | |||
| 379 | ################################################################################################################ |
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| 380 | # Step 7: query tariff data |
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| 381 | ################################################################################################################ |
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| 382 | parameters_data = dict() |
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| 383 | parameters_data['names'] = list() |
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| 384 | parameters_data['timestamps'] = list() |
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| 385 | parameters_data['values'] = list() |
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| 386 | if config.is_tariff_appended and not is_quick_mode: |
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| 387 | tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'], |
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| 388 | virtual_meter['energy_category_id'], |
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| 389 | reporting_start_datetime_utc, |
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| 390 | reporting_end_datetime_utc) |
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| 391 | tariff_timestamp_list = list() |
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| 392 | tariff_value_list = list() |
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| 393 | for k, v in tariff_dict.items(): |
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| 394 | # convert k from utc to local |
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| 395 | k = k + timedelta(minutes=timezone_offset) |
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| 396 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 397 | tariff_value_list.append(v) |
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| 398 | |||
| 399 | parameters_data['names'].append(_('Tariff') + '-' + virtual_meter['energy_category_name']) |
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| 400 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 401 | parameters_data['values'].append(tariff_value_list) |
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| 402 | |||
| 403 | ################################################################################################################ |
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| 404 | # Step 8: construct the report |
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| 405 | ################################################################################################################ |
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| 406 | if cursor_system: |
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| 407 | cursor_system.close() |
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| 408 | if cnx_system: |
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| 409 | cnx_system.close() |
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| 410 | |||
| 411 | if cursor_energy: |
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| 412 | cursor_energy.close() |
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| 413 | if cnx_energy: |
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| 414 | cnx_energy.close() |
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| 415 | |||
| 416 | if cursor_carbon: |
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| 417 | cursor_carbon.close() |
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| 418 | if cnx_carbon: |
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| 419 | cnx_carbon.close() |
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| 420 | |||
| 421 | result = { |
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| 422 | "virtual_meter": { |
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| 423 | "cost_center_id": virtual_meter['cost_center_id'], |
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| 424 | "energy_category_id": virtual_meter['energy_category_id'], |
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| 425 | "energy_category_name": virtual_meter['energy_category_name'], |
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| 426 | "unit_of_measure": 'KG', |
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| 427 | "kgce": virtual_meter['kgce'], |
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| 428 | "kgco2e": virtual_meter['kgco2e'], |
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| 429 | }, |
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| 430 | "base_period": { |
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| 431 | "total_in_category": base['total_in_category'], |
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| 432 | "total_in_kgce": base['total_in_kgce'], |
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| 433 | "total_in_kgco2e": base['total_in_kgco2e'], |
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| 434 | "timestamps": base['timestamps'], |
||
| 435 | "values": base['values'], |
||
| 436 | }, |
||
| 437 | "reporting_period": { |
||
| 438 | "increment_rate": |
||
| 439 | (reporting['total_in_category'] - base['total_in_category']) / base['total_in_category'] |
||
| 440 | if base['total_in_category'] != Decimal(0.0) else None, |
||
| 441 | "total_in_category": reporting['total_in_category'], |
||
| 442 | "total_in_kgce": reporting['total_in_kgce'], |
||
| 443 | "total_in_kgco2e": reporting['total_in_kgco2e'], |
||
| 444 | "timestamps": reporting['timestamps'], |
||
| 445 | "values": reporting['values'], |
||
| 446 | "rates": reporting['rates'], |
||
| 447 | }, |
||
| 448 | "parameters": { |
||
| 449 | "names": parameters_data['names'], |
||
| 450 | "timestamps": parameters_data['timestamps'], |
||
| 451 | "values": parameters_data['values'] |
||
| 452 | }, |
||
| 453 | } |
||
| 454 | |||
| 455 | # export result to Excel file and then encode the file to base64 string |
||
| 456 | if not is_quick_mode: |
||
| 457 | result['excel_bytes_base64'] = \ |
||
| 458 | excelexporters.virtualmetercarbon.export(result, |
||
| 459 | virtual_meter['name'], |
||
| 460 | base_period_start_datetime_local, |
||
| 461 | base_period_end_datetime_local, |
||
| 462 | reporting_period_start_datetime_local, |
||
| 463 | reporting_period_end_datetime_local, |
||
| 464 | period_type, |
||
| 465 | language) |
||
| 466 | |||
| 467 | resp.text = json.dumps(result) |
||
| 468 |
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