MyEMS /
myems
| Conditions | 82 |
| Total Lines | 462 |
| Code Lines | 333 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like reports.metercarbon.Reporting.on_get() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import re |
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| 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 | meter_id = req.params.get('meterid') |
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| 39 | meter_uuid = req.params.get('meteruuid') |
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| 40 | period_type = req.params.get('periodtype') |
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| 41 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 42 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 43 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 44 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 45 | |||
| 46 | ################################################################################################################ |
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| 47 | # Step 1: valid parameters |
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| 48 | ################################################################################################################ |
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| 49 | if meter_id is None and meter_uuid is None: |
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| 50 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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| 51 | |||
| 52 | if meter_id is not None: |
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| 53 | meter_id = str.strip(meter_id) |
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| 54 | if not meter_id.isdigit() or int(meter_id) <= 0: |
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| 55 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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| 56 | |||
| 57 | if meter_uuid is not None: |
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| 58 | meter_uuid = str.strip(meter_uuid) |
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| 59 | regex = re.compile('^[a-f0-9]{8}-?[a-f0-9]{4}-?4[a-f0-9]{3}-?[89ab][a-f0-9]{3}-?[a-f0-9]{12}\Z', re.I) |
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| 60 | match = regex.match(meter_uuid) |
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| 61 | if not bool(match): |
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| 62 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_UUID') |
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| 63 | |||
| 64 | if period_type is None: |
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| 65 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 66 | else: |
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| 67 | period_type = str.strip(period_type) |
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| 68 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 69 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 70 | |||
| 71 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 72 | if config.utc_offset[0] == '-': |
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| 73 | timezone_offset = -timezone_offset |
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| 74 | |||
| 75 | base_start_datetime_utc = None |
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| 76 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 77 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 78 | try: |
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| 79 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 80 | except ValueError: |
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| 81 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 82 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 83 | base_start_datetime_utc = base_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 84 | timedelta(minutes=timezone_offset) |
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| 85 | |||
| 86 | base_end_datetime_utc = None |
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| 87 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 88 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 89 | try: |
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| 90 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 91 | except ValueError: |
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| 92 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 93 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 94 | base_end_datetime_utc = base_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 95 | timedelta(minutes=timezone_offset) |
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| 96 | |||
| 97 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 98 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 99 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 100 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 101 | |||
| 102 | if reporting_period_start_datetime_local is None: |
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| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 104 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 105 | else: |
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| 106 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 107 | try: |
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| 108 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 109 | '%Y-%m-%dT%H:%M:%S') |
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| 110 | except ValueError: |
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| 111 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 112 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 113 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 114 | timedelta(minutes=timezone_offset) |
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| 115 | |||
| 116 | if reporting_period_end_datetime_local is None: |
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| 117 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 118 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 119 | else: |
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| 120 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 121 | try: |
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| 122 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 123 | '%Y-%m-%dT%H:%M:%S') |
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| 124 | except ValueError: |
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| 125 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 126 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 127 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 128 | timedelta(minutes=timezone_offset) |
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| 129 | |||
| 130 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 131 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 132 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 133 | |||
| 134 | ################################################################################################################ |
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| 135 | # Step 2: query the meter and energy category |
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| 136 | ################################################################################################################ |
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| 137 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 138 | cursor_system = cnx_system.cursor() |
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| 139 | |||
| 140 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 141 | cursor_energy = cnx_energy.cursor() |
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| 142 | |||
| 143 | cnx_carbon = mysql.connector.connect(**config.myems_carbon_db) |
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| 144 | cursor_carbon = cnx_carbon.cursor() |
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| 145 | |||
| 146 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 147 | cursor_historical = cnx_historical.cursor() |
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| 148 | if meter_id is not None: |
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| 149 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 150 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 151 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 152 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id,)) |
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| 153 | row_meter = cursor_system.fetchone() |
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| 154 | elif meter_uuid is not None: |
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| 155 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
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| 156 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
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| 157 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 158 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid,)) |
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| 159 | row_meter = cursor_system.fetchone() |
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| 160 | |||
| 161 | if row_meter is None: |
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|
introduced
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|
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| 162 | if cursor_system: |
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| 163 | cursor_system.close() |
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| 164 | if cnx_system: |
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| 165 | cnx_system.disconnect() |
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| 166 | |||
| 167 | if cursor_energy: |
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| 168 | cursor_energy.close() |
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| 169 | if cnx_energy: |
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| 170 | cnx_energy.disconnect() |
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| 171 | |||
| 172 | if cursor_carbon: |
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| 173 | cursor_carbon.close() |
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| 174 | if cnx_carbon: |
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| 175 | cnx_carbon.disconnect() |
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| 176 | |||
| 177 | if cursor_historical: |
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| 178 | cursor_historical.close() |
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| 179 | if cnx_historical: |
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| 180 | cnx_historical.disconnect() |
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| 181 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 182 | if meter_id is not None and int(meter_id) != int(row_meter[0]): |
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| 183 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 184 | meter = dict() |
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| 185 | meter['id'] = row_meter[0] |
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| 186 | meter['name'] = row_meter[1] |
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| 187 | meter['cost_center_id'] = row_meter[2] |
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| 188 | meter['energy_category_id'] = row_meter[3] |
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| 189 | meter['energy_category_name'] = row_meter[4] |
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| 190 | meter['unit_of_measure'] = config.currency_unit |
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| 191 | meter['kgce'] = row_meter[6] |
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| 192 | meter['kgco2e'] = row_meter[7] |
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| 193 | |||
| 194 | ################################################################################################################ |
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| 195 | # Step 3: query associated points |
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| 196 | ################################################################################################################ |
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| 197 | point_list = list() |
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| 198 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 199 | " FROM tbl_meters m, tbl_meters_points mp, tbl_points p " |
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| 200 | " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " |
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| 201 | " ORDER BY p.id ", (meter['id'],)) |
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| 202 | rows_points = cursor_system.fetchall() |
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| 203 | if rows_points is not None and len(rows_points) > 0: |
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| 204 | for row in rows_points: |
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| 205 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 206 | |||
| 207 | ################################################################################################################ |
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| 208 | # Step 4: query base period energy consumption |
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| 209 | ################################################################################################################ |
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| 210 | query = (" SELECT start_datetime_utc, actual_value " |
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| 211 | " FROM tbl_meter_hourly " |
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| 212 | " WHERE meter_id = %s " |
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| 213 | " AND start_datetime_utc >= %s " |
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| 214 | " AND start_datetime_utc < %s " |
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| 215 | " ORDER BY start_datetime_utc ") |
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| 216 | cursor_energy.execute(query, (meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 217 | rows_meter_hourly = cursor_energy.fetchall() |
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| 218 | |||
| 219 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 220 | base_start_datetime_utc, |
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| 221 | base_end_datetime_utc, |
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| 222 | period_type) |
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| 223 | base = dict() |
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| 224 | base['timestamps'] = list() |
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| 225 | base['values'] = list() |
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| 226 | base['total_in_category'] = Decimal(0.0) |
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| 227 | base['total_in_kgce'] = Decimal(0.0) |
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| 228 | base['total_in_kgco2e'] = Decimal(0.0) |
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| 229 | |||
| 230 | for row_meter_periodically in rows_meter_periodically: |
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| 231 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 232 | timedelta(minutes=timezone_offset) |
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| 233 | if period_type == 'hourly': |
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| 234 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 235 | elif period_type == 'daily': |
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| 236 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 237 | elif period_type == 'weekly': |
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| 238 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 239 | elif period_type == 'monthly': |
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| 240 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 241 | elif period_type == 'yearly': |
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| 242 | current_datetime = current_datetime_local.strftime('%Y') |
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| 243 | |||
| 244 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 245 | else row_meter_periodically[1] |
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| 246 | base['timestamps'].append(current_datetime) |
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| 247 | base['total_in_kgce'] += actual_value * meter['kgce'] |
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| 248 | base['total_in_kgco2e'] += actual_value * meter['kgco2e'] |
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| 249 | |||
| 250 | ################################################################################################################ |
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| 251 | # Step 5: query base period carbon dioxide emission |
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| 252 | ################################################################################################################ |
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| 253 | query = (" SELECT start_datetime_utc, actual_value " |
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| 254 | " FROM tbl_meter_hourly " |
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| 255 | " WHERE meter_id = %s " |
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| 256 | " AND start_datetime_utc >= %s " |
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| 257 | " AND start_datetime_utc < %s " |
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| 258 | " ORDER BY start_datetime_utc ") |
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| 259 | cursor_carbon.execute(query, (meter['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 260 | rows_meter_hourly = cursor_carbon.fetchall() |
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| 261 | |||
| 262 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 263 | base_start_datetime_utc, |
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| 264 | base_end_datetime_utc, |
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| 265 | period_type) |
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| 266 | |||
| 267 | base['values'] = list() |
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| 268 | base['total_in_category'] = Decimal(0.0) |
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| 269 | |||
| 270 | for row_meter_periodically in rows_meter_periodically: |
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| 271 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 272 | else row_meter_periodically[1] |
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| 273 | base['values'].append(actual_value) |
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| 274 | base['total_in_category'] += actual_value |
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| 275 | |||
| 276 | ################################################################################################################ |
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| 277 | # Step 6: query reporting period energy consumption |
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| 278 | ################################################################################################################ |
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| 279 | query = (" SELECT start_datetime_utc, actual_value " |
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| 280 | " FROM tbl_meter_hourly " |
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| 281 | " WHERE meter_id = %s " |
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| 282 | " AND start_datetime_utc >= %s " |
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| 283 | " AND start_datetime_utc < %s " |
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| 284 | " ORDER BY start_datetime_utc ") |
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| 285 | cursor_energy.execute(query, (meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 286 | rows_meter_hourly = cursor_energy.fetchall() |
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| 287 | |||
| 288 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 289 | reporting_start_datetime_utc, |
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| 290 | reporting_end_datetime_utc, |
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| 291 | period_type) |
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| 292 | reporting = dict() |
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| 293 | reporting['timestamps'] = list() |
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| 294 | reporting['values'] = list() |
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| 295 | reporting['total_in_category'] = Decimal(0.0) |
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| 296 | reporting['total_in_kgce'] = Decimal(0.0) |
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| 297 | reporting['total_in_kgco2e'] = Decimal(0.0) |
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| 298 | |||
| 299 | for row_meter_periodically in rows_meter_periodically: |
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| 300 | current_datetime_local = row_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 301 | timedelta(minutes=timezone_offset) |
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| 302 | if period_type == 'hourly': |
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| 303 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 304 | elif period_type == 'daily': |
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| 305 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 306 | elif period_type == 'weekly': |
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| 307 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 308 | elif period_type == 'monthly': |
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| 309 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 310 | elif period_type == 'yearly': |
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| 311 | current_datetime = current_datetime_local.strftime('%Y') |
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| 312 | |||
| 313 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 314 | else row_meter_periodically[1] |
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| 315 | |||
| 316 | reporting['timestamps'].append(current_datetime) |
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| 317 | reporting['total_in_kgce'] += actual_value * meter['kgce'] |
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| 318 | reporting['total_in_kgco2e'] += actual_value * meter['kgco2e'] |
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| 319 | |||
| 320 | ################################################################################################################ |
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| 321 | # Step 7: query reporting period carbon dioxide emission |
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| 322 | ################################################################################################################ |
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| 323 | query = (" SELECT start_datetime_utc, actual_value " |
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| 324 | " FROM tbl_meter_hourly " |
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| 325 | " WHERE meter_id = %s " |
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| 326 | " AND start_datetime_utc >= %s " |
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| 327 | " AND start_datetime_utc < %s " |
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| 328 | " ORDER BY start_datetime_utc ") |
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| 329 | cursor_carbon.execute(query, (meter['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 330 | rows_meter_hourly = cursor_carbon.fetchall() |
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| 331 | |||
| 332 | rows_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_meter_hourly, |
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| 333 | reporting_start_datetime_utc, |
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| 334 | reporting_end_datetime_utc, |
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| 335 | period_type) |
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| 336 | |||
| 337 | for row_meter_periodically in rows_meter_periodically: |
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| 338 | actual_value = Decimal(0.0) if row_meter_periodically[1] is None \ |
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| 339 | else row_meter_periodically[1] |
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| 340 | |||
| 341 | reporting['values'].append(actual_value) |
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| 342 | reporting['total_in_category'] += actual_value |
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| 343 | |||
| 344 | ################################################################################################################ |
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| 345 | # Step 8: query tariff data |
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| 346 | ################################################################################################################ |
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| 347 | parameters_data = dict() |
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| 348 | parameters_data['names'] = list() |
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| 349 | parameters_data['timestamps'] = list() |
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| 350 | parameters_data['values'] = list() |
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| 351 | |||
| 352 | tariff_dict = utilities.get_energy_category_tariffs(meter['cost_center_id'], |
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| 353 | meter['energy_category_id'], |
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| 354 | reporting_start_datetime_utc, |
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| 355 | reporting_end_datetime_utc) |
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| 356 | tariff_timestamp_list = list() |
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| 357 | tariff_value_list = list() |
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| 358 | for k, v in tariff_dict.items(): |
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| 359 | # convert k from utc to local |
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| 360 | k = k + timedelta(minutes=timezone_offset) |
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| 361 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 362 | tariff_value_list.append(v) |
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| 363 | |||
| 364 | parameters_data['names'].append('TARIFF-' + meter['energy_category_name']) |
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| 365 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 366 | parameters_data['values'].append(tariff_value_list) |
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| 367 | |||
| 368 | ################################################################################################################ |
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| 369 | # Step 9: query associated points data |
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| 370 | ################################################################################################################ |
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| 371 | for point in point_list: |
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| 372 | point_values = [] |
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| 373 | point_timestamps = [] |
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| 374 | if point['object_type'] == 'ANALOG_VALUE': |
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| 375 | query = (" SELECT utc_date_time, actual_value " |
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| 376 | " FROM tbl_analog_value " |
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| 377 | " WHERE point_id = %s " |
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| 378 | " AND utc_date_time BETWEEN %s AND %s " |
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| 379 | " ORDER BY utc_date_time ") |
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| 380 | cursor_historical.execute(query, (point['id'], |
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| 381 | reporting_start_datetime_utc, |
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| 382 | reporting_end_datetime_utc)) |
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| 383 | rows = cursor_historical.fetchall() |
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| 384 | |||
| 385 | if rows is not None and len(rows) > 0: |
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| 386 | for row in rows: |
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| 387 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 388 | timedelta(minutes=timezone_offset) |
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| 389 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 390 | point_timestamps.append(current_datetime) |
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| 391 | point_values.append(row[1]) |
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| 392 | |||
| 393 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 394 | query = (" SELECT utc_date_time, actual_value " |
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| 395 | " FROM tbl_energy_value " |
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| 396 | " WHERE point_id = %s " |
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| 397 | " AND utc_date_time BETWEEN %s AND %s " |
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| 398 | " ORDER BY utc_date_time ") |
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| 399 | cursor_historical.execute(query, (point['id'], |
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| 400 | reporting_start_datetime_utc, |
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| 401 | reporting_end_datetime_utc)) |
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| 402 | rows = cursor_historical.fetchall() |
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| 403 | |||
| 404 | if rows is not None and len(rows) > 0: |
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| 405 | for row in rows: |
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| 406 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 407 | timedelta(minutes=timezone_offset) |
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| 408 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 409 | point_timestamps.append(current_datetime) |
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| 410 | point_values.append(row[1]) |
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| 411 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 412 | query = (" SELECT utc_date_time, actual_value " |
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| 413 | " FROM tbl_digital_value " |
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| 414 | " WHERE point_id = %s " |
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| 415 | " AND utc_date_time BETWEEN %s AND %s " |
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| 416 | " ORDER BY utc_date_time ") |
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| 417 | cursor_historical.execute(query, (point['id'], |
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| 418 | reporting_start_datetime_utc, |
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| 419 | reporting_end_datetime_utc)) |
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| 420 | rows = cursor_historical.fetchall() |
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| 421 | |||
| 422 | if rows is not None and len(rows) > 0: |
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| 423 | for row in rows: |
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| 424 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 425 | timedelta(minutes=timezone_offset) |
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| 426 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 427 | point_timestamps.append(current_datetime) |
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| 428 | point_values.append(row[1]) |
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| 429 | |||
| 430 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
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| 431 | parameters_data['timestamps'].append(point_timestamps) |
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| 432 | parameters_data['values'].append(point_values) |
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| 433 | |||
| 434 | ################################################################################################################ |
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| 435 | # Step 10: construct the report |
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| 436 | ################################################################################################################ |
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| 437 | if cursor_system: |
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| 438 | cursor_system.close() |
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| 439 | if cnx_system: |
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| 440 | cnx_system.disconnect() |
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| 441 | |||
| 442 | if cursor_energy: |
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| 443 | cursor_energy.close() |
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| 444 | if cnx_energy: |
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| 445 | cnx_energy.disconnect() |
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| 446 | |||
| 447 | if cursor_carbon: |
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| 448 | cursor_carbon.close() |
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| 449 | if cnx_carbon: |
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| 450 | cnx_carbon.disconnect() |
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| 451 | |||
| 452 | if cursor_historical: |
||
| 453 | cursor_historical.close() |
||
| 454 | if cnx_historical: |
||
| 455 | cnx_historical.disconnect() |
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| 456 | result = { |
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| 457 | "meter": { |
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| 458 | "cost_center_id": meter['cost_center_id'], |
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| 459 | "energy_category_id": meter['energy_category_id'], |
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| 460 | "energy_category_name": meter['energy_category_name'], |
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| 461 | "unit_of_measure": 'KG', |
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| 462 | "kgce": meter['kgce'], |
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| 463 | "kgco2e": meter['kgco2e'], |
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| 464 | }, |
||
| 465 | "base_period": { |
||
| 466 | "total_in_category": base['total_in_category'], |
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| 467 | "total_in_kgce": base['total_in_kgce'], |
||
| 468 | "total_in_kgco2e": base['total_in_kgco2e'], |
||
| 469 | "timestamps": base['timestamps'], |
||
| 470 | "values": base['values'], |
||
| 471 | }, |
||
| 472 | "reporting_period": { |
||
| 473 | "increment_rate": |
||
| 474 | (reporting['total_in_category']-base['total_in_category'])/base['total_in_category'] |
||
| 475 | if base['total_in_category'] > 0 else None, |
||
| 476 | "total_in_category": reporting['total_in_category'], |
||
| 477 | "total_in_kgce": reporting['total_in_kgce'], |
||
| 478 | "total_in_kgco2e": reporting['total_in_kgco2e'], |
||
| 479 | "timestamps": reporting['timestamps'], |
||
| 480 | "values": reporting['values'], |
||
| 481 | }, |
||
| 482 | "parameters": { |
||
| 483 | "names": parameters_data['names'], |
||
| 484 | "timestamps": parameters_data['timestamps'], |
||
| 485 | "values": parameters_data['values'] |
||
| 486 | }, |
||
| 487 | } |
||
| 488 | # export result to Excel file and then encode the file to base64 string |
||
| 489 | result['excel_bytes_base64'] = \ |
||
| 490 | excelexporters.metercarbon.export(result, |
||
| 491 | meter['name'], |
||
| 492 | reporting_period_start_datetime_local, |
||
| 493 | reporting_period_end_datetime_local, |
||
| 494 | period_type) |
||
| 495 | |||
| 496 | resp.text = json.dumps(result) |
||
| 497 |
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