myems /
myems-api
| Total Complexity | 135 |
| Total Lines | 783 |
| Duplicated Lines | 1.53 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like reports.spacesaving often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import falcon |
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| 2 | import simplejson as json |
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| 3 | import mysql.connector |
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| 4 | import config |
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| 5 | from datetime import datetime, timedelta, timezone |
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| 6 | from core import utilities |
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| 7 | from decimal import Decimal |
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| 8 | import excelexporters.spacesaving |
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| 9 | |||
| 10 | |||
| 11 | class Reporting: |
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| 12 | @staticmethod |
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| 13 | def __init__(): |
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| 14 | pass |
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| 15 | |||
| 16 | @staticmethod |
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| 17 | def on_options(req, resp): |
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| 18 | resp.status = falcon.HTTP_200 |
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| 19 | |||
| 20 | #################################################################################################################### |
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| 21 | # PROCEDURES |
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| 22 | # Step 1: valid parameters |
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| 23 | # Step 2: query the space |
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| 24 | # Step 3: query energy categories |
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| 25 | # Step 4: query associated sensors |
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| 26 | # Step 5: query associated points |
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| 27 | # Step 6: query child spaces |
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| 28 | # Step 7: query base period energy saving |
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| 29 | # Step 8: query reporting period energy saving |
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| 30 | # Step 9: query tariff data |
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| 31 | # Step 10: query associated sensors and points data |
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| 32 | # Step 11: query child spaces energy saving |
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| 33 | # Step 12: construct the report |
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| 34 | #################################################################################################################### |
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| 35 | @staticmethod |
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| 36 | def on_get(req, resp): |
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| 37 | print(req.params) |
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| 38 | space_id = req.params.get('spaceid') |
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| 39 | period_type = req.params.get('periodtype') |
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| 40 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 41 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 42 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 43 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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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 space_id is None: |
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| 49 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 50 | else: |
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| 51 | space_id = str.strip(space_id) |
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| 52 | if not space_id.isdigit() or int(space_id) <= 0: |
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| 53 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_SPACE_ID') |
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| 54 | |||
| 55 | if period_type is None: |
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| 56 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 57 | else: |
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| 58 | period_type = str.strip(period_type) |
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| 59 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
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| 60 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 61 | |||
| 62 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 63 | if config.utc_offset[0] == '-': |
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| 64 | timezone_offset = -timezone_offset |
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| 65 | |||
| 66 | base_start_datetime_utc = None |
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| 67 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
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| 68 | base_start_datetime_local = str.strip(base_start_datetime_local) |
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| 69 | try: |
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| 70 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
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| 71 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 72 | timedelta(minutes=timezone_offset) |
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| 73 | except ValueError: |
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| 74 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 75 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 76 | |||
| 77 | base_end_datetime_utc = None |
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| 78 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
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| 79 | base_end_datetime_local = str.strip(base_end_datetime_local) |
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| 80 | try: |
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| 81 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
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| 82 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 83 | timedelta(minutes=timezone_offset) |
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| 84 | except ValueError: |
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| 85 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 86 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 87 | |||
| 88 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 89 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 90 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 91 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 92 | |||
| 93 | if reporting_start_datetime_local is None: |
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| 94 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 95 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 96 | else: |
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| 97 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
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| 98 | try: |
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| 99 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
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| 100 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 101 | timedelta(minutes=timezone_offset) |
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| 102 | except ValueError: |
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| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 105 | |||
| 106 | if reporting_end_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_END_DATETIME") |
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| 109 | else: |
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| 110 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
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| 111 | try: |
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| 112 | reporting_end_datetime_utc = datetime.strptime(reporting_end_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_END_DATETIME") |
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| 118 | |||
| 119 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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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 | |||
| 123 | ################################################################################################################ |
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| 124 | # Step 2: query the space |
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| 125 | ################################################################################################################ |
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| 126 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 127 | cursor_system = cnx_system.cursor() |
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| 128 | |||
| 129 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 130 | cursor_energy = cnx_energy.cursor() |
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| 131 | |||
| 132 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
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| 133 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
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| 134 | |||
| 135 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 136 | cursor_historical = cnx_historical.cursor() |
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| 137 | |||
| 138 | cursor_system.execute(" SELECT id, name, area, cost_center_id " |
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| 139 | " FROM tbl_spaces " |
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| 140 | " WHERE id = %s ", (space_id,)) |
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| 141 | row_space = cursor_system.fetchone() |
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| 142 | if row_space is None: |
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| 143 | if cursor_system: |
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| 144 | cursor_system.close() |
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| 145 | if cnx_system: |
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| 146 | cnx_system.disconnect() |
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| 147 | |||
| 148 | if cursor_energy: |
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| 149 | cursor_energy.close() |
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| 150 | if cnx_energy: |
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| 151 | cnx_energy.disconnect() |
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| 152 | |||
| 153 | if cursor_energy_baseline: |
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| 154 | cursor_energy_baseline.close() |
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| 155 | if cnx_energy_baseline: |
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| 156 | cnx_energy_baseline.disconnect() |
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| 157 | |||
| 158 | if cnx_historical: |
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| 159 | cnx_historical.close() |
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| 160 | if cursor_historical: |
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| 161 | cursor_historical.disconnect() |
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| 162 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.SPACE_NOT_FOUND') |
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| 163 | |||
| 164 | space = dict() |
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| 165 | space['id'] = row_space[0] |
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| 166 | space['name'] = row_space[1] |
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| 167 | space['area'] = row_space[2] |
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| 168 | space['cost_center_id'] = row_space[3] |
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| 169 | |||
| 170 | ################################################################################################################ |
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| 171 | # Step 3: query energy categories |
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| 172 | ################################################################################################################ |
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| 173 | energy_category_set = set() |
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| 174 | # query energy categories in base period |
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| 175 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 176 | " FROM tbl_space_input_category_hourly " |
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| 177 | " WHERE space_id = %s " |
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| 178 | " AND start_datetime_utc >= %s " |
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| 179 | " AND start_datetime_utc < %s ", |
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| 180 | (space['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 181 | rows_energy_categories = cursor_energy.fetchall() |
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| 182 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 183 | for row_energy_category in rows_energy_categories: |
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| 184 | energy_category_set.add(row_energy_category[0]) |
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| 185 | |||
| 186 | # query energy categories in reporting period |
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| 187 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 188 | " FROM tbl_space_input_category_hourly " |
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| 189 | " WHERE space_id = %s " |
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| 190 | " AND start_datetime_utc >= %s " |
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| 191 | " AND start_datetime_utc < %s ", |
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| 192 | (space['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 193 | rows_energy_categories = cursor_energy.fetchall() |
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| 194 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
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| 195 | for row_energy_category in rows_energy_categories: |
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| 196 | energy_category_set.add(row_energy_category[0]) |
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| 197 | |||
| 198 | # query all energy categories in base period and reporting period |
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| 199 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 200 | " FROM tbl_energy_categories " |
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| 201 | " ORDER BY id ", ) |
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| 202 | rows_energy_categories = cursor_system.fetchall() |
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| 203 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 204 | if cursor_system: |
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| 205 | cursor_system.close() |
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| 206 | if cnx_system: |
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| 207 | cnx_system.disconnect() |
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| 208 | |||
| 209 | if cursor_energy: |
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| 210 | cursor_energy.close() |
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| 211 | if cnx_energy: |
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| 212 | cnx_energy.disconnect() |
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| 213 | |||
| 214 | if cursor_energy_baseline: |
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| 215 | cursor_energy_baseline.close() |
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| 216 | if cnx_energy_baseline: |
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| 217 | cnx_energy_baseline.disconnect() |
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| 218 | |||
| 219 | if cnx_historical: |
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| 220 | cnx_historical.close() |
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| 221 | if cursor_historical: |
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| 222 | cursor_historical.disconnect() |
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| 223 | raise falcon.HTTPError(falcon.HTTP_404, |
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| 224 | title='API.NOT_FOUND', |
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| 225 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 226 | energy_category_dict = dict() |
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| 227 | for row_energy_category in rows_energy_categories: |
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| 228 | if row_energy_category[0] in energy_category_set: |
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| 229 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 230 | "unit_of_measure": row_energy_category[2], |
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| 231 | "kgce": row_energy_category[3], |
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| 232 | "kgco2e": row_energy_category[4]} |
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| 233 | |||
| 234 | ################################################################################################################ |
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| 235 | # Step 4: query associated sensors |
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| 236 | ################################################################################################################ |
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| 237 | point_list = list() |
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| 238 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 239 | " FROM tbl_spaces sp, tbl_sensors se, tbl_spaces_sensors spse, " |
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| 240 | " tbl_points po, tbl_sensors_points sepo " |
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| 241 | " WHERE sp.id = %s AND sp.id = spse.space_id AND spse.sensor_id = se.id " |
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| 242 | " AND se.id = sepo.sensor_id AND sepo.point_id = po.id " |
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| 243 | " ORDER BY po.id ", (space['id'],)) |
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| 244 | rows_points = cursor_system.fetchall() |
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| 245 | if rows_points is not None and len(rows_points) > 0: |
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| 246 | for row in rows_points: |
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| 247 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 248 | |||
| 249 | ################################################################################################################ |
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| 250 | # Step 5: query associated points |
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| 251 | ################################################################################################################ |
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| 252 | cursor_system.execute(" SELECT po.id, po.name, po.units, po.object_type " |
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| 253 | " FROM tbl_spaces sp, tbl_spaces_points sppo, tbl_points po " |
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| 254 | " WHERE sp.id = %s AND sp.id = sppo.space_id AND sppo.point_id = po.id " |
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| 255 | " ORDER BY po.id ", (space['id'],)) |
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| 256 | rows_points = cursor_system.fetchall() |
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| 257 | if rows_points is not None and len(rows_points) > 0: |
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| 258 | for row in rows_points: |
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| 259 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 260 | |||
| 261 | ################################################################################################################ |
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| 262 | # Step 6: query child spaces |
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| 263 | ################################################################################################################ |
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| 264 | child_space_list = list() |
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| 265 | cursor_system.execute(" SELECT id, name " |
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| 266 | " FROM tbl_spaces " |
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| 267 | " WHERE parent_space_id = %s " |
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| 268 | " ORDER BY id ", (space['id'],)) |
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| 269 | rows_child_spaces = cursor_system.fetchall() |
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| 270 | if rows_child_spaces is not None and len(rows_child_spaces) > 0: |
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| 271 | for row in rows_child_spaces: |
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| 272 | child_space_list.append({"id": row[0], "name": row[1]}) |
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| 273 | |||
| 274 | ################################################################################################################ |
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| 275 | # Step 7: query base period energy saving |
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| 276 | ################################################################################################################ |
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| 277 | base = dict() |
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| 278 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 279 | for energy_category_id in energy_category_set: |
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| 280 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 281 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 282 | |||
| 283 | base[energy_category_id] = dict() |
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| 284 | base[energy_category_id]['timestamps'] = list() |
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| 285 | base[energy_category_id]['values_baseline'] = list() |
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| 286 | base[energy_category_id]['values_actual'] = list() |
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| 287 | base[energy_category_id]['values_saving'] = list() |
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| 288 | base[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
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| 289 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
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| 290 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
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| 291 | base[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
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| 292 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
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| 293 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
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| 294 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
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| 295 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
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| 296 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
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| 297 | # query base period's energy baseline |
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| 298 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
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| 299 | " FROM tbl_space_input_category_hourly " |
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| 300 | " WHERE space_id = %s " |
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| 301 | " AND energy_category_id = %s " |
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| 302 | " AND start_datetime_utc >= %s " |
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| 303 | " AND start_datetime_utc < %s " |
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| 304 | " ORDER BY start_datetime_utc ", |
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| 305 | (space['id'], |
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| 306 | energy_category_id, |
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| 307 | base_start_datetime_utc, |
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| 308 | base_end_datetime_utc)) |
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| 309 | rows_space_hourly = cursor_energy_baseline.fetchall() |
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| 310 | |||
| 311 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 312 | base_start_datetime_utc, |
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| 313 | base_end_datetime_utc, |
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| 314 | period_type) |
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| 315 | for row_space_periodically in rows_space_periodically: |
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| 316 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 317 | timedelta(minutes=timezone_offset) |
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| 318 | if period_type == 'hourly': |
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| 319 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 320 | elif period_type == 'daily': |
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| 321 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 322 | elif period_type == 'monthly': |
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| 323 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 324 | elif period_type == 'yearly': |
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| 325 | current_datetime = current_datetime_local.strftime('%Y') |
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| 326 | |||
| 327 | baseline_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 328 | base[energy_category_id]['timestamps'].append(current_datetime) |
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|
introduced
by
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| 329 | base[energy_category_id]['values_baseline'].append(baseline_value) |
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| 330 | base[energy_category_id]['subtotal_baseline'] += baseline_value |
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| 331 | base[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
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| 332 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
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| 333 | |||
| 334 | # query base period's energy actual |
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| 335 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 336 | " FROM tbl_space_input_category_hourly " |
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| 337 | " WHERE space_id = %s " |
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| 338 | " AND energy_category_id = %s " |
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| 339 | " AND start_datetime_utc >= %s " |
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| 340 | " AND start_datetime_utc < %s " |
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| 341 | " ORDER BY start_datetime_utc ", |
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| 342 | (space['id'], |
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| 343 | energy_category_id, |
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| 344 | base_start_datetime_utc, |
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| 345 | base_end_datetime_utc)) |
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| 346 | rows_space_hourly = cursor_energy.fetchall() |
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| 347 | |||
| 348 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 349 | base_start_datetime_utc, |
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| 350 | base_end_datetime_utc, |
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| 351 | period_type) |
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| 352 | for row_space_periodically in rows_space_periodically: |
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| 353 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 354 | timedelta(minutes=timezone_offset) |
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| 355 | if period_type == 'hourly': |
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| 356 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 357 | elif period_type == 'daily': |
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| 358 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 359 | elif period_type == 'monthly': |
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| 360 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 361 | elif period_type == 'yearly': |
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| 362 | current_datetime = current_datetime_local.strftime('%Y') |
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| 363 | |||
| 364 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 365 | base[energy_category_id]['values_actual'].append(actual_value) |
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| 366 | base[energy_category_id]['subtotal_actual'] += actual_value |
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| 367 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
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| 368 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
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| 369 | |||
| 370 | # calculate base period's energy savings |
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| 371 | for i in range(len(base[energy_category_id]['values_baseline'])): |
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| 372 | base[energy_category_id]['values_saving'].append( |
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| 373 | base[energy_category_id]['values_baseline'][i] - |
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| 374 | base[energy_category_id]['values_actual'][i]) |
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| 375 | |||
| 376 | base[energy_category_id]['subtotal_saving'] = \ |
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| 377 | base[energy_category_id]['subtotal_baseline'] - \ |
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| 378 | base[energy_category_id]['subtotal_actual'] |
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| 379 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
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| 380 | base[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
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| 381 | base[energy_category_id]['subtotal_in_kgce_actual'] |
||
| 382 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
||
| 383 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
||
| 384 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
||
| 385 | ################################################################################################################ |
||
| 386 | # Step 8: query reporting period energy saving |
||
| 387 | ################################################################################################################ |
||
| 388 | reporting = dict() |
||
| 389 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 390 | for energy_category_id in energy_category_set: |
||
| 391 | kgce = energy_category_dict[energy_category_id]['kgce'] |
||
| 392 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
||
| 393 | |||
| 394 | reporting[energy_category_id] = dict() |
||
| 395 | reporting[energy_category_id]['timestamps'] = list() |
||
| 396 | reporting[energy_category_id]['values_baseline'] = list() |
||
| 397 | reporting[energy_category_id]['values_actual'] = list() |
||
| 398 | reporting[energy_category_id]['values_saving'] = list() |
||
| 399 | reporting[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
||
| 400 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
||
| 401 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
||
| 402 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
||
| 403 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
||
| 404 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
||
| 405 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
||
| 406 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
||
| 407 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
||
| 408 | # query reporting period's energy baseline |
||
| 409 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
||
| 410 | " FROM tbl_space_input_category_hourly " |
||
| 411 | " WHERE space_id = %s " |
||
| 412 | " AND energy_category_id = %s " |
||
| 413 | " AND start_datetime_utc >= %s " |
||
| 414 | " AND start_datetime_utc < %s " |
||
| 415 | " ORDER BY start_datetime_utc ", |
||
| 416 | (space['id'], |
||
| 417 | energy_category_id, |
||
| 418 | reporting_start_datetime_utc, |
||
| 419 | reporting_end_datetime_utc)) |
||
| 420 | rows_space_hourly = cursor_energy_baseline.fetchall() |
||
| 421 | |||
| 422 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
||
| 423 | reporting_start_datetime_utc, |
||
| 424 | reporting_end_datetime_utc, |
||
| 425 | period_type) |
||
| 426 | for row_space_periodically in rows_space_periodically: |
||
| 427 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 428 | timedelta(minutes=timezone_offset) |
||
| 429 | if period_type == 'hourly': |
||
| 430 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 431 | elif period_type == 'daily': |
||
| 432 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 433 | elif period_type == 'monthly': |
||
| 434 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 435 | elif period_type == 'yearly': |
||
| 436 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 437 | |||
| 438 | baseline_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
||
| 439 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
||
| 440 | reporting[energy_category_id]['values_baseline'].append(baseline_value) |
||
| 441 | reporting[energy_category_id]['subtotal_baseline'] += baseline_value |
||
| 442 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
||
| 443 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
||
| 444 | |||
| 445 | # query reporting period's energy actual |
||
| 446 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 447 | " FROM tbl_space_input_category_hourly " |
||
| 448 | " WHERE space_id = %s " |
||
| 449 | " AND energy_category_id = %s " |
||
| 450 | " AND start_datetime_utc >= %s " |
||
| 451 | " AND start_datetime_utc < %s " |
||
| 452 | " ORDER BY start_datetime_utc ", |
||
| 453 | (space['id'], |
||
| 454 | energy_category_id, |
||
| 455 | reporting_start_datetime_utc, |
||
| 456 | reporting_end_datetime_utc)) |
||
| 457 | rows_space_hourly = cursor_energy.fetchall() |
||
| 458 | |||
| 459 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
||
| 460 | reporting_start_datetime_utc, |
||
| 461 | reporting_end_datetime_utc, |
||
| 462 | period_type) |
||
| 463 | for row_space_periodically in rows_space_periodically: |
||
| 464 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 465 | timedelta(minutes=timezone_offset) |
||
| 466 | if period_type == 'hourly': |
||
| 467 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 468 | elif period_type == 'daily': |
||
| 469 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 470 | elif period_type == 'monthly': |
||
| 471 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 472 | elif period_type == 'yearly': |
||
| 473 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 474 | |||
| 475 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
||
| 476 | reporting[energy_category_id]['values_actual'].append(actual_value) |
||
| 477 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
||
| 478 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
||
| 479 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
||
| 480 | |||
| 481 | # calculate reporting period's energy savings |
||
| 482 | for i in range(len(reporting[energy_category_id]['values_baseline'])): |
||
| 483 | reporting[energy_category_id]['values_saving'].append( |
||
| 484 | reporting[energy_category_id]['values_baseline'][i] - |
||
| 485 | reporting[energy_category_id]['values_actual'][i]) |
||
| 486 | |||
| 487 | reporting[energy_category_id]['subtotal_saving'] = \ |
||
| 488 | reporting[energy_category_id]['subtotal_baseline'] - \ |
||
| 489 | reporting[energy_category_id]['subtotal_actual'] |
||
| 490 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
||
| 491 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
||
| 492 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
||
| 493 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
||
| 494 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
||
| 495 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
||
| 496 | ################################################################################################################ |
||
| 497 | # Step 9: query tariff data |
||
| 498 | ################################################################################################################ |
||
| 499 | parameters_data = dict() |
||
| 500 | parameters_data['names'] = list() |
||
| 501 | parameters_data['timestamps'] = list() |
||
| 502 | parameters_data['values'] = list() |
||
| 503 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 504 | for energy_category_id in energy_category_set: |
||
| 505 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(space['cost_center_id'], |
||
| 506 | energy_category_id, |
||
| 507 | reporting_start_datetime_utc, |
||
| 508 | reporting_end_datetime_utc) |
||
| 509 | tariff_timestamp_list = list() |
||
| 510 | tariff_value_list = list() |
||
| 511 | for k, v in energy_category_tariff_dict.items(): |
||
| 512 | # convert k from utc to local |
||
| 513 | k = k + timedelta(minutes=timezone_offset) |
||
| 514 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
||
| 515 | tariff_value_list.append(v) |
||
| 516 | |||
| 517 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
||
| 518 | parameters_data['timestamps'].append(tariff_timestamp_list) |
||
| 519 | parameters_data['values'].append(tariff_value_list) |
||
| 520 | |||
| 521 | ################################################################################################################ |
||
| 522 | # Step 10: query associated sensors and points data |
||
| 523 | ################################################################################################################ |
||
| 524 | for point in point_list: |
||
| 525 | point_values = [] |
||
| 526 | point_timestamps = [] |
||
| 527 | if point['object_type'] == 'ANALOG_VALUE': |
||
| 528 | query = (" SELECT utc_date_time, actual_value " |
||
| 529 | " FROM tbl_analog_value " |
||
| 530 | " WHERE point_id = %s " |
||
| 531 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 532 | " ORDER BY utc_date_time ") |
||
| 533 | cursor_historical.execute(query, (point['id'], |
||
| 534 | reporting_start_datetime_utc, |
||
| 535 | reporting_end_datetime_utc)) |
||
| 536 | rows = cursor_historical.fetchall() |
||
| 537 | |||
| 538 | if rows is not None and len(rows) > 0: |
||
| 539 | for row in rows: |
||
| 540 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 541 | timedelta(minutes=timezone_offset) |
||
| 542 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 543 | point_timestamps.append(current_datetime) |
||
| 544 | point_values.append(row[1]) |
||
| 545 | |||
| 546 | elif point['object_type'] == 'ENERGY_VALUE': |
||
| 547 | query = (" SELECT utc_date_time, actual_value " |
||
| 548 | " FROM tbl_energy_value " |
||
| 549 | " WHERE point_id = %s " |
||
| 550 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 551 | " ORDER BY utc_date_time ") |
||
| 552 | cursor_historical.execute(query, (point['id'], |
||
| 553 | reporting_start_datetime_utc, |
||
| 554 | reporting_end_datetime_utc)) |
||
| 555 | rows = cursor_historical.fetchall() |
||
| 556 | |||
| 557 | if rows is not None and len(rows) > 0: |
||
| 558 | for row in rows: |
||
| 559 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 560 | timedelta(minutes=timezone_offset) |
||
| 561 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 562 | point_timestamps.append(current_datetime) |
||
| 563 | point_values.append(row[1]) |
||
| 564 | elif point['object_type'] == 'DIGITAL_VALUE': |
||
| 565 | query = (" SELECT utc_date_time, actual_value " |
||
| 566 | " FROM tbl_digital_value " |
||
| 567 | " WHERE point_id = %s " |
||
| 568 | " AND utc_date_time BETWEEN %s AND %s ") |
||
| 569 | cursor_historical.execute(query, (point['id'], |
||
| 570 | reporting_start_datetime_utc, |
||
| 571 | reporting_end_datetime_utc)) |
||
| 572 | rows = cursor_historical.fetchall() |
||
| 573 | |||
| 574 | if rows is not None and len(rows) > 0: |
||
| 575 | for row in rows: |
||
| 576 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 577 | timedelta(minutes=timezone_offset) |
||
| 578 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 579 | point_timestamps.append(current_datetime) |
||
| 580 | point_values.append(row[1]) |
||
| 581 | |||
| 582 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 583 | parameters_data['timestamps'].append(point_timestamps) |
||
| 584 | parameters_data['values'].append(point_values) |
||
| 585 | |||
| 586 | ################################################################################################################ |
||
| 587 | # Step 11: query child spaces energy saving |
||
| 588 | ################################################################################################################ |
||
| 589 | child_space_data = dict() |
||
| 590 | |||
| 591 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 592 | for energy_category_id in energy_category_set: |
||
| 593 | child_space_data[energy_category_id] = dict() |
||
| 594 | child_space_data[energy_category_id]['child_space_names'] = list() |
||
| 595 | child_space_data[energy_category_id]['subtotals_saving'] = list() |
||
| 596 | child_space_data[energy_category_id]['subtotals_in_kgce_saving'] = list() |
||
| 597 | child_space_data[energy_category_id]['subtotals_in_kgco2e_saving'] = list() |
||
| 598 | kgce = energy_category_dict[energy_category_id]['kgce'] |
||
| 599 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
||
| 600 | for child_space in child_space_list: |
||
| 601 | child_space_data[energy_category_id]['child_space_names'].append(child_space['name']) |
||
| 602 | # query child space's energy baseline |
||
| 603 | cursor_energy_baseline.execute(" SELECT SUM(actual_value) " |
||
| 604 | " FROM tbl_space_input_category_hourly " |
||
| 605 | " WHERE space_id = %s " |
||
| 606 | " AND energy_category_id = %s " |
||
| 607 | " AND start_datetime_utc >= %s " |
||
| 608 | " AND start_datetime_utc < %s " |
||
| 609 | " ORDER BY start_datetime_utc ", |
||
| 610 | (child_space['id'], |
||
| 611 | energy_category_id, |
||
| 612 | reporting_start_datetime_utc, |
||
| 613 | reporting_end_datetime_utc)) |
||
| 614 | row_subtotal = cursor_energy_baseline.fetchone() |
||
| 615 | |||
| 616 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
||
| 617 | subtotal_baseline = subtotal |
||
| 618 | subtotal_in_kgce_baseline = subtotal * kgce |
||
| 619 | subtotal_in_kgco2e_baseline = subtotal * kgco2e |
||
| 620 | # query child space's energy actual |
||
| 621 | cursor_energy.execute(" SELECT SUM(actual_value) " |
||
| 622 | " FROM tbl_space_input_category_hourly " |
||
| 623 | " WHERE space_id = %s " |
||
| 624 | " AND energy_category_id = %s " |
||
| 625 | " AND start_datetime_utc >= %s " |
||
| 626 | " AND start_datetime_utc < %s " |
||
| 627 | " ORDER BY start_datetime_utc ", |
||
| 628 | (child_space['id'], |
||
| 629 | energy_category_id, |
||
| 630 | reporting_start_datetime_utc, |
||
| 631 | reporting_end_datetime_utc)) |
||
| 632 | row_subtotal = cursor_energy.fetchone() |
||
| 633 | |||
| 634 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
||
| 635 | subtotal_actual = subtotal |
||
| 636 | subtotal_in_kgce_actual = subtotal * kgce |
||
| 637 | subtotal_in_kgco2e_actual = subtotal * kgco2e |
||
| 638 | |||
| 639 | # calculate child space's energy saving |
||
| 640 | child_space_data[energy_category_id]['subtotals_saving'].append( |
||
| 641 | subtotal_baseline - subtotal_actual) |
||
| 642 | child_space_data[energy_category_id]['subtotals_in_kgce_saving'].append( |
||
| 643 | subtotal_in_kgce_baseline - subtotal_in_kgce_actual) |
||
| 644 | child_space_data[energy_category_id]['subtotals_in_kgco2e_saving'].append( |
||
| 645 | subtotal_in_kgco2e_baseline - subtotal_in_kgco2e_actual) |
||
| 646 | ################################################################################################################ |
||
| 647 | # Step 12: construct the report |
||
| 648 | ################################################################################################################ |
||
| 649 | if cursor_system: |
||
| 650 | cursor_system.close() |
||
| 651 | if cnx_system: |
||
| 652 | cnx_system.disconnect() |
||
| 653 | |||
| 654 | if cursor_energy: |
||
| 655 | cursor_energy.close() |
||
| 656 | if cnx_energy: |
||
| 657 | cnx_energy.disconnect() |
||
| 658 | |||
| 659 | if cursor_energy_baseline: |
||
| 660 | cursor_energy_baseline.close() |
||
| 661 | if cnx_energy_baseline: |
||
| 662 | cnx_energy_baseline.disconnect() |
||
| 663 | |||
| 664 | result = dict() |
||
| 665 | |||
| 666 | result['space'] = dict() |
||
| 667 | result['space']['name'] = space['name'] |
||
| 668 | result['space']['area'] = space['area'] |
||
| 669 | |||
| 670 | result['base_period'] = dict() |
||
| 671 | result['base_period']['names'] = list() |
||
| 672 | result['base_period']['units'] = list() |
||
| 673 | result['base_period']['timestamps'] = list() |
||
| 674 | result['base_period']['values_saving'] = list() |
||
| 675 | result['base_period']['subtotals_saving'] = list() |
||
| 676 | result['base_period']['subtotals_in_kgce_saving'] = list() |
||
| 677 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 678 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 679 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 680 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 681 | for energy_category_id in energy_category_set: |
||
| 682 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 683 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 684 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
||
| 685 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
||
| 686 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
||
| 687 | result['base_period']['subtotals_in_kgce_saving'].append( |
||
| 688 | base[energy_category_id]['subtotal_in_kgce_saving']) |
||
| 689 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
||
| 690 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
||
| 691 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
||
| 692 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
||
| 693 | |||
| 694 | result['reporting_period'] = dict() |
||
| 695 | result['reporting_period']['names'] = list() |
||
| 696 | result['reporting_period']['energy_category_ids'] = list() |
||
| 697 | result['reporting_period']['units'] = list() |
||
| 698 | result['reporting_period']['timestamps'] = list() |
||
| 699 | result['reporting_period']['values_saving'] = list() |
||
| 700 | result['reporting_period']['subtotals_saving'] = list() |
||
| 701 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
||
| 702 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 703 | result['reporting_period']['subtotals_per_unit_area_saving'] = list() |
||
| 704 | result['reporting_period']['increment_rates_saving'] = list() |
||
| 705 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 706 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 707 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
||
| 708 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
||
| 709 | |||
| 710 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 711 | for energy_category_id in energy_category_set: |
||
| 712 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 713 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
||
| 714 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 715 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
||
| 716 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
||
| 717 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
||
| 718 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
||
| 719 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
||
| 720 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
||
| 721 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
||
| 722 | result['reporting_period']['subtotals_per_unit_area_saving'].append( |
||
| 723 | reporting[energy_category_id]['subtotal_saving'] / space['area'] if space['area'] > 0.0 else None) |
||
| 724 | result['reporting_period']['increment_rates_saving'].append( |
||
| 725 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
||
| 726 | base[energy_category_id]['subtotal_saving'] |
||
| 727 | if base[energy_category_id]['subtotal_saving'] > 0.0 else None) |
||
| 728 | result['reporting_period']['total_in_kgce_saving'] += \ |
||
| 729 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
||
| 730 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
||
| 731 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
||
| 732 | |||
| 733 | result['reporting_period']['total_in_kgco2e_per_unit_area_saving'] = \ |
||
| 734 | result['reporting_period']['total_in_kgce_saving'] / space['area'] if space['area'] > 0.0 else None |
||
| 735 | |||
| 736 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
||
| 737 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
||
| 738 | result['base_period']['total_in_kgce_saving'] \ |
||
| 739 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
||
| 740 | |||
| 741 | result['reporting_period']['total_in_kgce_per_unit_area_saving'] = \ |
||
| 742 | result['reporting_period']['total_in_kgco2e_saving'] / space['area'] if space['area'] > 0.0 else None |
||
| 743 | |||
| 744 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
||
| 745 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
||
| 746 | result['base_period']['total_in_kgco2e_saving'] \ |
||
| 747 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
||
| 748 | |||
| 749 | result['parameters'] = { |
||
| 750 | "names": parameters_data['names'], |
||
| 751 | "timestamps": parameters_data['timestamps'], |
||
| 752 | "values": parameters_data['values'] |
||
| 753 | } |
||
| 754 | |||
| 755 | result['child_space'] = dict() |
||
| 756 | result['child_space']['energy_category_names'] = list() # 1D array [energy category] |
||
| 757 | result['child_space']['units'] = list() # 1D array [energy category] |
||
| 758 | result['child_space']['child_space_names_array'] = list() # 2D array [energy category][child space] |
||
| 759 | result['child_space']['subtotals_saving_array'] = list() # 2D array [energy category][child space] |
||
| 760 | result['child_space']['subtotals_in_kgce_saving_array'] = list() # 2D array [energy category][child space] |
||
| 761 | result['child_space']['subtotals_in_kgco2e_saving_array'] = list() # 2D array [energy category][child space] |
||
| 762 | View Code Duplication | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 763 | for energy_category_id in energy_category_set: |
||
| 764 | result['child_space']['energy_category_names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 765 | result['child_space']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 766 | result['child_space']['child_space_names_array'].append( |
||
| 767 | child_space_data[energy_category_id]['child_space_names']) |
||
| 768 | result['child_space']['subtotals_saving_array'].append( |
||
| 769 | child_space_data[energy_category_id]['subtotals_saving']) |
||
| 770 | result['child_space']['subtotals_in_kgce_saving_array'].append( |
||
| 771 | child_space_data[energy_category_id]['subtotals_in_kgce_saving']) |
||
| 772 | result['child_space']['subtotals_in_kgco2e_saving_array'].append( |
||
| 773 | child_space_data[energy_category_id]['subtotals_in_kgco2e_saving']) |
||
| 774 | |||
| 775 | # export result to Excel file and then encode the file to base64 string |
||
| 776 | result['excel_bytes_base64'] = excelexporters.spacesaving.export(result, |
||
| 777 | space['name'], |
||
| 778 | reporting_start_datetime_local, |
||
| 779 | reporting_end_datetime_local, |
||
| 780 | period_type) |
||
| 781 | |||
| 782 | resp.body = json.dumps(result) |
||
| 783 |
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