MyEMS /
myems
| Conditions | 99 |
| Total Lines | 474 |
| Code Lines | 351 |
| Lines | 126 |
| Ratio | 26.58 % |
| 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.metercomparison.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 falcon |
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| 33 | @staticmethod |
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| 34 | def on_get(req, resp): |
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| 35 | print(req.params) |
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| 36 | # this procedure accepts meter id or meter uuid to identify a meter |
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| 37 | meter_id1 = req.params.get('meterid1') |
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| 38 | meter_uuid1 = req.params.get('meteruuid1') |
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| 39 | meter_id2 = req.params.get('meterid2') |
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| 40 | meter_uuid2 = req.params.get('meteruuid2') |
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| 41 | period_type = req.params.get('periodtype') |
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| 42 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 43 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 44 | quick_mode = req.params.get('quickmode') |
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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_id1 is None and meter_uuid1 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_id1 is not None: |
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| 53 | meter_id1 = str.strip(meter_id1) |
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| 54 | if not meter_id1.isdigit() or int(meter_id1) <= 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_uuid1 is not None: |
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| 58 | 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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| 59 | match = regex.match(str.strip(meter_uuid1)) |
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| 60 | if not bool(match): |
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| 61 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_UUID') |
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| 62 | |||
| 63 | if meter_id2 is None and meter_uuid2 is None: |
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| 64 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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| 65 | |||
| 66 | if meter_id2 is not None: |
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| 67 | meter_id2 = str.strip(meter_id2) |
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| 68 | if not meter_id2.isdigit() or int(meter_id2) <= 0: |
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| 69 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_ID') |
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| 70 | |||
| 71 | if meter_uuid2 is not None: |
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| 72 | 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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| 73 | match = regex.match(str.strip(meter_uuid2)) |
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| 74 | if not bool(match): |
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| 75 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_METER_UUID') |
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| 76 | |||
| 77 | if period_type is None: |
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| 78 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 79 | else: |
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| 80 | period_type = str.strip(period_type) |
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| 81 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 82 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
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| 83 | |||
| 84 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 85 | if config.utc_offset[0] == '-': |
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| 86 | timezone_offset = -timezone_offset |
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| 87 | |||
| 88 | if reporting_period_start_datetime_local is None: |
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| 89 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 90 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 91 | else: |
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| 92 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 93 | try: |
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| 94 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 95 | '%Y-%m-%dT%H:%M:%S') |
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| 96 | except ValueError: |
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| 97 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 98 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 99 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 100 | timedelta(minutes=timezone_offset) |
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| 101 | |||
| 102 | if reporting_period_end_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_END_DATETIME") |
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| 105 | else: |
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| 106 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 107 | try: |
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| 108 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_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_END_DATETIME") |
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| 113 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
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| 114 | timedelta(minutes=timezone_offset) |
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| 115 | |||
| 116 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 117 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 118 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 119 | |||
| 120 | # if turn quick mode on, do not return parameters data and excel file |
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| 121 | is_quick_mode = False |
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| 122 | if quick_mode is not None and \ |
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| 123 | len(str.strip(quick_mode)) > 0 and \ |
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| 124 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 125 | is_quick_mode = True |
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| 126 | |||
| 127 | ################################################################################################################ |
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| 128 | # Step 2: query the meter and energy category |
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| 129 | ################################################################################################################ |
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| 130 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 131 | cursor_system = cnx_system.cursor() |
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| 132 | |||
| 133 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 134 | cursor_energy = cnx_energy.cursor() |
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| 135 | |||
| 136 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 137 | cursor_historical = cnx_historical.cursor() |
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| 138 | |||
| 139 | if meter_id1 is not None: |
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| 140 | cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id, ec.name, ec.unit_of_measure " |
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| 141 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 142 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id1,)) |
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| 143 | row_meter1 = cursor_system.fetchone() |
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| 144 | elif meter_uuid1 is not None: |
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| 145 | cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id, ec.name, ec.unit_of_measure " |
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| 146 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 147 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid1,)) |
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| 148 | row_meter1 = cursor_system.fetchone() |
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| 149 | |||
| 150 | if row_meter1 is None: |
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|
introduced
by
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| 151 | if cursor_system: |
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| 152 | cursor_system.close() |
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| 153 | if cnx_system: |
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| 154 | cnx_system.close() |
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| 155 | |||
| 156 | if cursor_energy: |
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| 157 | cursor_energy.close() |
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| 158 | if cnx_energy: |
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| 159 | cnx_energy.close() |
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| 160 | |||
| 161 | if cursor_historical: |
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| 162 | cursor_historical.close() |
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| 163 | if cnx_historical: |
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| 164 | cnx_historical.close() |
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| 165 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 166 | |||
| 167 | meter1 = dict() |
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| 168 | meter1['id'] = row_meter1[0] |
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| 169 | meter1['name'] = row_meter1[1] |
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| 170 | meter1['energy_category_id'] = row_meter1[2] |
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| 171 | meter1['energy_category_name'] = row_meter1[3] |
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| 172 | meter1['unit_of_measure'] = row_meter1[4] |
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| 173 | |||
| 174 | if meter_id2 is not None: |
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| 175 | cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id, ec.name, ec.unit_of_measure " |
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| 176 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 177 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (meter_id2,)) |
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| 178 | row_meter2 = cursor_system.fetchone() |
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| 179 | elif meter_uuid2 is not None: |
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| 180 | cursor_system.execute(" SELECT m.id, m.name, m.energy_category_id, ec.name, ec.unit_of_measure " |
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| 181 | " FROM tbl_meters m, tbl_energy_categories ec " |
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| 182 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (meter_uuid2,)) |
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| 183 | row_meter2 = cursor_system.fetchone() |
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| 184 | |||
| 185 | if row_meter2 is None: |
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| 186 | if cursor_system: |
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| 187 | cursor_system.close() |
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| 188 | if cnx_system: |
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| 189 | cnx_system.close() |
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| 190 | |||
| 191 | if cursor_energy: |
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| 192 | cursor_energy.close() |
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| 193 | if cnx_energy: |
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| 194 | cnx_energy.close() |
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| 195 | |||
| 196 | if cursor_historical: |
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| 197 | cursor_historical.close() |
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| 198 | if cnx_historical: |
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| 199 | cnx_historical.close() |
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| 200 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.METER_NOT_FOUND') |
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| 201 | |||
| 202 | meter2 = dict() |
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| 203 | meter2['id'] = row_meter2[0] |
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| 204 | meter2['name'] = row_meter2[1] |
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| 205 | meter2['energy_category_id'] = row_meter2[2] |
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| 206 | meter2['energy_category_name'] = row_meter2[3] |
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| 207 | meter2['unit_of_measure'] = row_meter2[4] |
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| 208 | ################################################################################################################ |
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| 209 | # Step 3: query associated points |
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| 210 | ################################################################################################################ |
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| 211 | point_list1 = list() |
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| 212 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 213 | " FROM tbl_meters m, tbl_meters_points mp, tbl_points p " |
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| 214 | " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " |
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| 215 | " ORDER BY p.id ", (meter1['id'],)) |
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| 216 | rows_points1 = cursor_system.fetchall() |
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| 217 | if rows_points1 is not None and len(rows_points1) > 0: |
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| 218 | for row in rows_points1: |
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| 219 | point_list1.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 220 | |||
| 221 | point_list2 = list() |
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| 222 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
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| 223 | " FROM tbl_meters m, tbl_meters_points mp, tbl_points p " |
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| 224 | " WHERE m.id = %s AND m.id = mp.meter_id AND mp.point_id = p.id " |
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| 225 | " ORDER BY p.id ", (meter2['id'],)) |
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| 226 | rows_points2 = cursor_system.fetchall() |
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| 227 | if rows_points2 is not None and len(rows_points2) > 0: |
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| 228 | for row in rows_points2: |
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| 229 | point_list2.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 230 | ################################################################################################################ |
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| 231 | # Step 5: query reporting period energy consumption |
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| 232 | ################################################################################################################ |
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| 233 | query1 = (" SELECT start_datetime_utc, actual_value " |
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| 234 | " FROM tbl_meter_hourly " |
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| 235 | " WHERE meter_id = %s " |
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| 236 | " AND start_datetime_utc >= %s " |
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| 237 | " AND start_datetime_utc < %s " |
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| 238 | " ORDER BY start_datetime_utc ") |
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| 239 | cursor_energy.execute(query1, (meter1['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 240 | rows_meter1_hourly = cursor_energy.fetchall() |
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| 241 | |||
| 242 | rows_meter1_periodically = utilities.aggregate_hourly_data_by_period(rows_meter1_hourly, |
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| 243 | reporting_start_datetime_utc, |
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| 244 | reporting_end_datetime_utc, |
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| 245 | period_type) |
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| 246 | reporting1 = dict() |
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| 247 | reporting1['timestamps'] = list() |
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| 248 | reporting1['values'] = list() |
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| 249 | reporting1['total_in_category'] = Decimal(0.0) |
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| 250 | |||
| 251 | for row_meter1_periodically in rows_meter1_periodically: |
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| 252 | current_datetime_local = row_meter1_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 253 | timedelta(minutes=timezone_offset) |
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| 254 | if period_type == 'hourly': |
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| 255 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 256 | elif period_type == 'daily': |
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| 257 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 258 | elif period_type == 'weekly': |
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| 259 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 260 | elif period_type == 'monthly': |
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| 261 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 262 | elif period_type == 'yearly': |
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| 263 | current_datetime = current_datetime_local.strftime('%Y') |
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| 264 | |||
| 265 | actual_value = Decimal(0.0) if row_meter1_periodically[1] is None else row_meter1_periodically[1] |
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| 266 | |||
| 267 | reporting1['timestamps'].append(current_datetime) |
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| 268 | reporting1['values'].append(actual_value) |
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| 269 | reporting1['total_in_category'] += actual_value |
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| 270 | |||
| 271 | query2 = (" SELECT start_datetime_utc, actual_value " |
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| 272 | " FROM tbl_meter_hourly " |
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| 273 | " WHERE meter_id = %s " |
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| 274 | " AND start_datetime_utc >= %s " |
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| 275 | " AND start_datetime_utc < %s " |
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| 276 | " ORDER BY start_datetime_utc ") |
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| 277 | cursor_energy.execute(query2, (meter2['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 278 | rows_meter2_hourly = cursor_energy.fetchall() |
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| 279 | |||
| 280 | rows_meter2_periodically = utilities.aggregate_hourly_data_by_period(rows_meter2_hourly, |
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| 281 | reporting_start_datetime_utc, |
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| 282 | reporting_end_datetime_utc, |
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| 283 | period_type) |
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| 284 | reporting2 = dict() |
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| 285 | reporting2['timestamps'] = list() |
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| 286 | reporting2['values'] = list() |
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| 287 | reporting2['total_in_category'] = Decimal(0.0) |
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| 288 | |||
| 289 | for row_meter2_periodically in rows_meter2_periodically: |
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| 290 | current_datetime_local = row_meter2_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 291 | timedelta(minutes=timezone_offset) |
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| 292 | if period_type == 'hourly': |
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| 293 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 294 | elif period_type == 'daily': |
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| 295 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 296 | elif period_type == 'weekly': |
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| 297 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 298 | elif period_type == 'monthly': |
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| 299 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 300 | elif period_type == 'yearly': |
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| 301 | current_datetime = current_datetime_local.strftime('%Y') |
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| 302 | |||
| 303 | actual_value = Decimal(0.0) if row_meter2_periodically[1] is None else row_meter2_periodically[1] |
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| 304 | |||
| 305 | reporting2['timestamps'].append(current_datetime) |
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| 306 | reporting2['values'].append(actual_value) |
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| 307 | reporting2['total_in_category'] += actual_value |
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| 308 | ################################################################################################################ |
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| 309 | # Step 7: query associated points data |
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| 310 | ################################################################################################################ |
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| 311 | parameters_data1 = dict() |
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| 312 | parameters_data1['names'] = list() |
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| 313 | parameters_data1['timestamps'] = list() |
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| 314 | parameters_data1['values'] = list() |
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| 315 | |||
| 316 | View Code Duplication | if not is_quick_mode: |
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| 317 | for point in point_list1: |
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| 318 | point_values = [] |
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| 319 | point_timestamps = [] |
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| 320 | if point['object_type'] == 'ANALOG_VALUE': |
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| 321 | query = (" SELECT utc_date_time, actual_value " |
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| 322 | " FROM tbl_analog_value " |
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| 323 | " WHERE point_id = %s " |
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| 324 | " AND utc_date_time BETWEEN %s AND %s " |
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| 325 | " ORDER BY utc_date_time ") |
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| 326 | cursor_historical.execute(query, (point['id'], |
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| 327 | reporting_start_datetime_utc, |
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| 328 | reporting_end_datetime_utc)) |
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| 329 | rows = cursor_historical.fetchall() |
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| 330 | |||
| 331 | if rows is not None and len(rows) > 0: |
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| 332 | for row in rows: |
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| 333 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 334 | timedelta(minutes=timezone_offset) |
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| 335 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 336 | point_timestamps.append(current_datetime) |
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| 337 | point_values.append(row[1]) |
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| 338 | |||
| 339 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 340 | query = (" SELECT utc_date_time, actual_value " |
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| 341 | " FROM tbl_energy_value " |
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| 342 | " WHERE point_id = %s " |
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| 343 | " AND utc_date_time BETWEEN %s AND %s " |
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| 344 | " ORDER BY utc_date_time ") |
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| 345 | cursor_historical.execute(query, (point['id'], |
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| 346 | reporting_start_datetime_utc, |
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| 347 | reporting_end_datetime_utc)) |
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| 348 | rows = cursor_historical.fetchall() |
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| 349 | |||
| 350 | if rows is not None and len(rows) > 0: |
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| 351 | for row in rows: |
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| 352 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 353 | timedelta(minutes=timezone_offset) |
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| 354 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 355 | point_timestamps.append(current_datetime) |
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| 356 | point_values.append(row[1]) |
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| 357 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 358 | query = (" SELECT utc_date_time, actual_value " |
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| 359 | " FROM tbl_digital_value " |
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| 360 | " WHERE point_id = %s " |
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| 361 | " AND utc_date_time BETWEEN %s AND %s " |
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| 362 | " ORDER BY utc_date_time ") |
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| 363 | cursor_historical.execute(query, (point['id'], |
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| 364 | reporting_start_datetime_utc, |
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| 365 | reporting_end_datetime_utc)) |
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| 366 | rows = cursor_historical.fetchall() |
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| 367 | |||
| 368 | if rows is not None and len(rows) > 0: |
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| 369 | for row in rows: |
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| 370 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 371 | timedelta(minutes=timezone_offset) |
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| 372 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 373 | point_timestamps.append(current_datetime) |
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| 374 | point_values.append(row[1]) |
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| 375 | |||
| 376 | parameters_data1['names'].append(point['name'] + ' (' + point['units'] + ')') |
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| 377 | parameters_data1['timestamps'].append(point_timestamps) |
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| 378 | parameters_data1['values'].append(point_values) |
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| 379 | |||
| 380 | parameters_data2 = dict() |
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| 381 | parameters_data2['names'] = list() |
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| 382 | parameters_data2['timestamps'] = list() |
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| 383 | parameters_data2['values'] = list() |
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| 384 | View Code Duplication | if not is_quick_mode: |
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| 385 | for point in point_list2: |
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| 386 | point_values = [] |
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| 387 | point_timestamps = [] |
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| 388 | if point['object_type'] == 'ANALOG_VALUE': |
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| 389 | query = (" SELECT utc_date_time, actual_value " |
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| 390 | " FROM tbl_analog_value " |
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| 391 | " WHERE point_id = %s " |
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| 392 | " AND utc_date_time BETWEEN %s AND %s " |
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| 393 | " ORDER BY utc_date_time ") |
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| 394 | cursor_historical.execute(query, (point['id'], |
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| 395 | reporting_start_datetime_utc, |
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| 396 | reporting_end_datetime_utc)) |
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| 397 | rows = cursor_historical.fetchall() |
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| 398 | |||
| 399 | if rows is not None and len(rows) > 0: |
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| 400 | for row in rows: |
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| 401 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 402 | timedelta(minutes=timezone_offset) |
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| 403 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 404 | point_timestamps.append(current_datetime) |
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| 405 | point_values.append(row[1]) |
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| 406 | |||
| 407 | elif point['object_type'] == 'ENERGY_VALUE': |
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| 408 | query = (" SELECT utc_date_time, actual_value " |
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| 409 | " FROM tbl_energy_value " |
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| 410 | " WHERE point_id = %s " |
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| 411 | " AND utc_date_time BETWEEN %s AND %s " |
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| 412 | " ORDER BY utc_date_time ") |
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| 413 | cursor_historical.execute(query, (point['id'], |
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| 414 | reporting_start_datetime_utc, |
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| 415 | reporting_end_datetime_utc)) |
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| 416 | rows = cursor_historical.fetchall() |
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| 417 | |||
| 418 | if rows is not None and len(rows) > 0: |
||
| 419 | for row in rows: |
||
| 420 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 421 | timedelta(minutes=timezone_offset) |
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| 422 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 423 | point_timestamps.append(current_datetime) |
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| 424 | point_values.append(row[1]) |
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| 425 | elif point['object_type'] == 'DIGITAL_VALUE': |
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| 426 | query = (" SELECT utc_date_time, actual_value " |
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| 427 | " FROM tbl_digital_value " |
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| 428 | " WHERE point_id = %s " |
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| 429 | " AND utc_date_time BETWEEN %s AND %s " |
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| 430 | " ORDER BY utc_date_time ") |
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| 431 | cursor_historical.execute(query, (point['id'], |
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| 432 | reporting_start_datetime_utc, |
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| 433 | reporting_end_datetime_utc)) |
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| 434 | rows = cursor_historical.fetchall() |
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| 435 | |||
| 436 | if rows is not None and len(rows) > 0: |
||
| 437 | for row in rows: |
||
| 438 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 439 | timedelta(minutes=timezone_offset) |
||
| 440 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 441 | point_timestamps.append(current_datetime) |
||
| 442 | point_values.append(row[1]) |
||
| 443 | |||
| 444 | parameters_data2['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 445 | parameters_data2['timestamps'].append(point_timestamps) |
||
| 446 | parameters_data2['values'].append(point_values) |
||
| 447 | ################################################################################################################ |
||
| 448 | # Step 8: construct the report |
||
| 449 | ################################################################################################################ |
||
| 450 | if cursor_system: |
||
| 451 | cursor_system.close() |
||
| 452 | if cnx_system: |
||
| 453 | cnx_system.close() |
||
| 454 | |||
| 455 | if cursor_energy: |
||
| 456 | cursor_energy.close() |
||
| 457 | if cnx_energy: |
||
| 458 | cnx_energy.close() |
||
| 459 | |||
| 460 | if cursor_historical: |
||
| 461 | cursor_historical.close() |
||
| 462 | if cnx_historical: |
||
| 463 | cnx_historical.close() |
||
| 464 | result = { |
||
| 465 | "meter1": { |
||
| 466 | "energy_category_id": meter1['energy_category_id'], |
||
| 467 | "energy_category_name": meter1['energy_category_name'], |
||
| 468 | "unit_of_measure": meter1['unit_of_measure'], |
||
| 469 | }, |
||
| 470 | "reporting_period1": { |
||
| 471 | "total_in_category": reporting1['total_in_category'], |
||
| 472 | "timestamps": reporting1['timestamps'], |
||
| 473 | "values": reporting1['values'], |
||
| 474 | }, |
||
| 475 | "parameters1": { |
||
| 476 | "names": parameters_data1['names'], |
||
| 477 | "timestamps": parameters_data1['timestamps'], |
||
| 478 | "values": parameters_data1['values'] |
||
| 479 | }, |
||
| 480 | "meter2": { |
||
| 481 | "energy_category_id": meter2['energy_category_id'], |
||
| 482 | "energy_category_name": meter2['energy_category_name'], |
||
| 483 | "unit_of_measure": meter2['unit_of_measure'], |
||
| 484 | }, |
||
| 485 | "reporting_period2": { |
||
| 486 | "total_in_category": reporting2['total_in_category'], |
||
| 487 | "timestamps": reporting2['timestamps'], |
||
| 488 | "values": reporting2['values'], |
||
| 489 | }, |
||
| 490 | "parameters2": { |
||
| 491 | "names": parameters_data2['names'], |
||
| 492 | "timestamps": parameters_data2['timestamps'], |
||
| 493 | "values": parameters_data2['values'] |
||
| 494 | }, |
||
| 495 | } |
||
| 496 | # export result to Excel file and then encode the file to base64 string |
||
| 497 | if not is_quick_mode: |
||
| 498 | result['excel_bytes_base64'] = \ |
||
| 499 | excelexporters.metercomparison.export(result, |
||
| 500 | meter1['name'], |
||
| 501 | meter2['name'], |
||
| 502 | reporting_period_start_datetime_local, |
||
| 503 | reporting_period_end_datetime_local, |
||
| 504 | period_type) |
||
| 505 | |||
| 506 | resp.text = json.dumps(result) |
||
| 507 |
Loading history...