MyEMS /
myems
| Conditions | 121 |
| Total Lines | 530 |
| Code Lines | 394 |
| Lines | 38 |
| Ratio | 7.17 % |
| 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.equipmentoutput.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 | """ |
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| 67 | @staticmethod |
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| 68 | def on_get(req, resp): |
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| 69 | if 'API-KEY' not in req.headers or \ |
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| 70 | not isinstance(req.headers['API-KEY'], str) or \ |
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| 71 | len(str.strip(req.headers['API-KEY'])) == 0: |
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| 72 | access_control(req) |
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| 73 | else: |
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| 74 | api_key_control(req) |
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| 75 | print(req.params) |
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| 76 | equipment_id = req.params.get('equipmentid') |
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| 77 | equipment_uuid = req.params.get('equipmentuuid') |
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| 78 | period_type = req.params.get('periodtype') |
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| 79 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
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| 80 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
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| 81 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
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| 82 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
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| 83 | language = req.params.get('language') |
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| 84 | quick_mode = req.params.get('quickmode') |
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| 85 | |||
| 86 | ################################################################################################################ |
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| 87 | # Step 1: valid parameters |
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| 88 | ################################################################################################################ |
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| 89 | if equipment_id is None and equipment_uuid is None: |
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| 90 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 91 | title='API.BAD_REQUEST', |
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| 92 | description='API.INVALID_EQUIPMENT_ID') |
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| 93 | |||
| 94 | if equipment_id is not None: |
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| 95 | equipment_id = str.strip(equipment_id) |
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| 96 | if not equipment_id.isdigit() or int(equipment_id) <= 0: |
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| 97 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 98 | title='API.BAD_REQUEST', |
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| 99 | description='API.INVALID_EQUIPMENT_ID') |
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| 100 | |||
| 101 | if equipment_uuid is not None: |
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| 102 | regex = re.compile(r'^[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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| 103 | match = regex.match(str.strip(equipment_uuid)) |
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| 104 | if not bool(match): |
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| 105 | raise falcon.HTTPError(status=falcon.HTTP_400, |
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| 106 | title='API.BAD_REQUEST', |
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| 107 | description='API.INVALID_EQUIPMENT_UUID') |
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| 108 | |||
| 109 | if period_type is None: |
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| 110 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 111 | description='API.INVALID_PERIOD_TYPE') |
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| 112 | else: |
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| 113 | period_type = str.strip(period_type) |
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| 114 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
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| 115 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 116 | description='API.INVALID_PERIOD_TYPE') |
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| 117 | |||
| 118 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
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| 119 | if config.utc_offset[0] == '-': |
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| 120 | timezone_offset = -timezone_offset |
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| 121 | |||
| 122 | base_start_datetime_utc = None |
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| 123 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
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| 124 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
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| 125 | try: |
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| 126 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 127 | except ValueError: |
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| 128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 129 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
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| 130 | base_start_datetime_utc = \ |
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| 131 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 132 | # nomalize the start datetime |
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| 133 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
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| 134 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 135 | else: |
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| 136 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 137 | |||
| 138 | base_end_datetime_utc = None |
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| 139 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
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| 140 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
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| 141 | try: |
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| 142 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
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| 143 | except ValueError: |
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| 144 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 145 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
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| 146 | base_end_datetime_utc = \ |
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| 147 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 148 | |||
| 149 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
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| 150 | base_start_datetime_utc >= base_end_datetime_utc: |
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| 151 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 152 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
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| 153 | |||
| 154 | if reporting_period_start_datetime_local is None: |
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| 155 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 156 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 157 | else: |
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| 158 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
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| 159 | try: |
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| 160 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
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| 161 | '%Y-%m-%dT%H:%M:%S') |
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| 162 | except ValueError: |
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| 163 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 164 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
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| 165 | reporting_start_datetime_utc = \ |
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| 166 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
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| 167 | # nomalize the start datetime |
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| 168 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
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| 169 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
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| 170 | else: |
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| 171 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
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| 172 | |||
| 173 | if reporting_period_end_datetime_local is None: |
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| 174 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 175 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 176 | else: |
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| 177 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
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| 178 | try: |
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| 179 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
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| 180 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
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| 181 | timedelta(minutes=timezone_offset) |
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| 182 | except ValueError: |
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| 183 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 184 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
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| 185 | |||
| 186 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
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| 187 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
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| 188 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
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| 189 | |||
| 190 | # if turn quick mode on, do not return parameters data and excel file |
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| 191 | is_quick_mode = False |
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| 192 | if quick_mode is not None and \ |
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| 193 | len(str.strip(quick_mode)) > 0 and \ |
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| 194 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
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| 195 | is_quick_mode = True |
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| 196 | |||
| 197 | trans = utilities.get_translation(language) |
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| 198 | trans.install() |
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| 199 | _ = trans.gettext |
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| 200 | |||
| 201 | ################################################################################################################ |
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| 202 | # Step 2: query the equipment |
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| 203 | ################################################################################################################ |
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| 204 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
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| 205 | cursor_system = cnx_system.cursor() |
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| 206 | |||
| 207 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
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| 208 | cursor_energy = cnx_energy.cursor() |
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| 209 | |||
| 210 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
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| 211 | cursor_historical = cnx_historical.cursor() |
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| 212 | |||
| 213 | if equipment_id is not None: |
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| 214 | cursor_system.execute(" SELECT id, name, cost_center_id " |
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| 215 | " FROM tbl_equipments " |
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| 216 | " WHERE id = %s ", (equipment_id,)) |
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| 217 | row_equipment = cursor_system.fetchone() |
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| 218 | elif equipment_uuid is not None: |
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| 219 | cursor_system.execute(" SELECT id, name, cost_center_id " |
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| 220 | " FROM tbl_equipments " |
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| 221 | " WHERE uuid = %s ", (equipment_uuid,)) |
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| 222 | row_equipment = cursor_system.fetchone() |
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| 223 | |||
| 224 | View Code Duplication | if row_equipment is None: |
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| 225 | if cursor_system: |
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| 226 | cursor_system.close() |
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| 227 | if cnx_system: |
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| 228 | cnx_system.close() |
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| 229 | |||
| 230 | if cursor_energy: |
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| 231 | cursor_energy.close() |
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| 232 | if cnx_energy: |
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| 233 | cnx_energy.close() |
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| 234 | |||
| 235 | if cursor_historical: |
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| 236 | cursor_historical.close() |
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| 237 | if cnx_historical: |
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| 238 | cnx_historical.close() |
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| 239 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', description='API.EQUIPMENT_NOT_FOUND') |
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| 240 | |||
| 241 | equipment = dict() |
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| 242 | equipment['id'] = row_equipment[0] |
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| 243 | equipment['name'] = row_equipment[1] |
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| 244 | equipment['cost_center_id'] = row_equipment[2] |
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| 245 | |||
| 246 | ################################################################################################################ |
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| 247 | # Step 3: query energy categories |
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| 248 | ################################################################################################################ |
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| 249 | energy_category_set = set() |
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| 250 | # query energy categories in base period |
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| 251 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 252 | " FROM tbl_equipment_output_category_hourly " |
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| 253 | " WHERE equipment_id = %s " |
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| 254 | " AND start_datetime_utc >= %s " |
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| 255 | " AND start_datetime_utc < %s ", |
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| 256 | (equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
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| 257 | rows_energy_categories = cursor_energy.fetchall() |
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| 258 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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| 259 | for row_energy_category in rows_energy_categories: |
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| 260 | energy_category_set.add(row_energy_category[0]) |
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| 261 | |||
| 262 | # query energy categories in reporting period |
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| 263 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
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| 264 | " FROM tbl_equipment_output_category_hourly " |
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| 265 | " WHERE equipment_id = %s " |
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| 266 | " AND start_datetime_utc >= %s " |
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| 267 | " AND start_datetime_utc < %s ", |
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| 268 | (equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
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| 269 | rows_energy_categories = cursor_energy.fetchall() |
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| 270 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
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| 271 | for row_energy_category in rows_energy_categories: |
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| 272 | energy_category_set.add(row_energy_category[0]) |
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| 273 | |||
| 274 | # query all energy categories in base period and reporting period |
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| 275 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
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| 276 | " FROM tbl_energy_categories " |
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| 277 | " ORDER BY id ", ) |
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| 278 | rows_energy_categories = cursor_system.fetchall() |
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| 279 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
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| 280 | if cursor_system: |
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| 281 | cursor_system.close() |
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| 282 | if cnx_system: |
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| 283 | cnx_system.close() |
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| 284 | |||
| 285 | if cursor_energy: |
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| 286 | cursor_energy.close() |
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| 287 | if cnx_energy: |
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| 288 | cnx_energy.close() |
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| 289 | |||
| 290 | if cursor_historical: |
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| 291 | cursor_historical.close() |
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| 292 | if cnx_historical: |
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| 293 | cnx_historical.close() |
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| 294 | raise falcon.HTTPError(status=falcon.HTTP_404, |
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| 295 | title='API.NOT_FOUND', |
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| 296 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
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| 297 | energy_category_dict = dict() |
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| 298 | for row_energy_category in rows_energy_categories: |
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| 299 | if row_energy_category[0] in energy_category_set: |
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| 300 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
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| 301 | "unit_of_measure": row_energy_category[2], |
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| 302 | "kgce": row_energy_category[3], |
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| 303 | "kgco2e": row_energy_category[4]} |
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| 304 | |||
| 305 | ################################################################################################################ |
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| 306 | # Step 4: query associated points |
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| 307 | ################################################################################################################ |
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| 308 | point_list = list() |
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| 309 | cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type " |
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| 310 | " FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
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| 311 | " WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
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| 312 | " AND ep.point_id = p.id " |
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| 313 | " ORDER BY p.id ", (equipment['id'],)) |
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| 314 | rows_points = cursor_system.fetchall() |
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| 315 | if rows_points is not None and len(rows_points) > 0: |
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| 316 | for row in rows_points: |
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| 317 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
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| 318 | |||
| 319 | ################################################################################################################ |
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| 320 | # Step 5: query base period energy output |
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| 321 | ################################################################################################################ |
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| 322 | base = dict() |
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| 323 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 324 | for energy_category_id in energy_category_set: |
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| 325 | base[energy_category_id] = dict() |
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| 326 | base[energy_category_id]['timestamps'] = list() |
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| 327 | base[energy_category_id]['values'] = list() |
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| 328 | base[energy_category_id]['subtotal'] = Decimal(0.0) |
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| 329 | |||
| 330 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 331 | " FROM tbl_equipment_output_category_hourly " |
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| 332 | " WHERE equipment_id = %s " |
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| 333 | " AND energy_category_id = %s " |
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| 334 | " AND start_datetime_utc >= %s " |
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| 335 | " AND start_datetime_utc < %s " |
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| 336 | " ORDER BY start_datetime_utc ", |
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| 337 | (equipment['id'], |
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| 338 | energy_category_id, |
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| 339 | base_start_datetime_utc, |
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| 340 | base_end_datetime_utc)) |
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| 341 | rows_equipment_hourly = cursor_energy.fetchall() |
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| 342 | |||
| 343 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
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| 344 | base_start_datetime_utc, |
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| 345 | base_end_datetime_utc, |
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| 346 | period_type) |
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| 347 | for row_equipment_periodically in rows_equipment_periodically: |
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| 348 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 349 | timedelta(minutes=timezone_offset) |
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| 350 | if period_type == 'hourly': |
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| 351 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 352 | elif period_type == 'daily': |
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| 353 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 354 | elif period_type == 'weekly': |
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| 355 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 356 | elif period_type == 'monthly': |
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| 357 | current_datetime = current_datetime_local.isoformat()[0:7] |
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| 358 | elif period_type == 'yearly': |
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| 359 | current_datetime = current_datetime_local.isoformat()[0:4] |
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| 360 | |||
| 361 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
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| 362 | else row_equipment_periodically[1] |
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| 363 | base[energy_category_id]['timestamps'].append(current_datetime) |
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| 364 | base[energy_category_id]['values'].append(actual_value) |
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| 365 | base[energy_category_id]['subtotal'] += actual_value |
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| 366 | |||
| 367 | ################################################################################################################ |
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| 368 | # Step 8: query reporting period energy output |
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| 369 | ################################################################################################################ |
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| 370 | reporting = dict() |
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| 371 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 372 | for energy_category_id in energy_category_set: |
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| 373 | reporting[energy_category_id] = dict() |
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| 374 | reporting[energy_category_id]['timestamps'] = list() |
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| 375 | reporting[energy_category_id]['values'] = list() |
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| 376 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
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| 377 | |||
| 378 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 379 | " FROM tbl_equipment_output_category_hourly " |
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| 380 | " WHERE equipment_id = %s " |
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| 381 | " AND energy_category_id = %s " |
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| 382 | " AND start_datetime_utc >= %s " |
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| 383 | " AND start_datetime_utc < %s " |
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| 384 | " ORDER BY start_datetime_utc ", |
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| 385 | (equipment['id'], |
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| 386 | energy_category_id, |
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| 387 | reporting_start_datetime_utc, |
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| 388 | reporting_end_datetime_utc)) |
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| 389 | rows_equipment_hourly = cursor_energy.fetchall() |
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| 390 | |||
| 391 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
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| 392 | reporting_start_datetime_utc, |
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| 393 | reporting_end_datetime_utc, |
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| 394 | period_type) |
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| 395 | for row_equipment_periodically in rows_equipment_periodically: |
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| 396 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 397 | timedelta(minutes=timezone_offset) |
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| 398 | if period_type == 'hourly': |
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| 399 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 400 | elif period_type == 'daily': |
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| 401 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 402 | elif period_type == 'weekly': |
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| 403 | current_datetime = current_datetime_local.isoformat()[0:10] |
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| 404 | elif period_type == 'monthly': |
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| 405 | current_datetime = current_datetime_local.isoformat()[0:7] |
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| 406 | elif period_type == 'yearly': |
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| 407 | current_datetime = current_datetime_local.isoformat()[0:4] |
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| 408 | |||
| 409 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
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| 410 | else row_equipment_periodically[1] |
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| 411 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
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| 412 | reporting[energy_category_id]['values'].append(actual_value) |
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| 413 | reporting[energy_category_id]['subtotal'] += actual_value |
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| 414 | |||
| 415 | ################################################################################################################ |
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| 416 | # Step 9: query tariff data |
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| 417 | ################################################################################################################ |
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| 418 | parameters_data = dict() |
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| 419 | parameters_data['names'] = list() |
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| 420 | parameters_data['timestamps'] = list() |
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| 421 | parameters_data['values'] = list() |
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| 422 | if not is_quick_mode: |
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| 423 | if config.is_tariff_appended and energy_category_set is not None and len(energy_category_set) > 0: |
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| 424 | for energy_category_id in energy_category_set: |
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| 425 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(equipment['cost_center_id'], |
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| 426 | energy_category_id, |
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| 427 | reporting_start_datetime_utc, |
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| 428 | reporting_end_datetime_utc) |
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| 429 | tariff_timestamp_list = list() |
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| 430 | tariff_value_list = list() |
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| 431 | for k, v in energy_category_tariff_dict.items(): |
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| 432 | # convert k from utc to local |
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| 433 | k = k + timedelta(minutes=timezone_offset) |
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| 434 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
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| 435 | tariff_value_list.append(v) |
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| 436 | |||
| 437 | parameters_data['names'].append(_('Tariff') + '-' |
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| 438 | + energy_category_dict[energy_category_id]['name']) |
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| 439 | parameters_data['timestamps'].append(tariff_timestamp_list) |
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| 440 | parameters_data['values'].append(tariff_value_list) |
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| 441 | |||
| 442 | ################################################################################################################ |
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| 443 | # Step 10: query associated points data |
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| 444 | ################################################################################################################ |
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| 445 | if not is_quick_mode: |
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| 446 | for point in point_list: |
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| 447 | point_values = [] |
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| 448 | point_timestamps = [] |
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| 449 | if point['object_type'] == 'ENERGY_VALUE': |
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| 450 | query = (" SELECT utc_date_time, actual_value " |
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| 451 | " FROM tbl_energy_value " |
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| 452 | " WHERE point_id = %s " |
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| 453 | " AND utc_date_time BETWEEN %s AND %s " |
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| 454 | " ORDER BY utc_date_time ") |
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| 455 | cursor_historical.execute(query, (point['id'], |
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| 456 | reporting_start_datetime_utc, |
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| 457 | reporting_end_datetime_utc)) |
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| 458 | rows = cursor_historical.fetchall() |
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| 459 | |||
| 460 | if rows is not None and len(rows) > 0: |
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| 461 | for row in rows: |
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| 462 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
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| 463 | timedelta(minutes=timezone_offset) |
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| 464 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 465 | point_timestamps.append(current_datetime) |
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| 466 | point_values.append(row[1]) |
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| 467 | elif point['object_type'] == 'ANALOG_VALUE': |
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| 468 | query = (" SELECT utc_date_time, actual_value " |
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| 469 | " FROM tbl_analog_value " |
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| 470 | " WHERE point_id = %s " |
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| 471 | " AND utc_date_time BETWEEN %s AND %s " |
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| 472 | " ORDER BY utc_date_time ") |
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| 473 | cursor_historical.execute(query, (point['id'], |
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| 474 | reporting_start_datetime_utc, |
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| 475 | reporting_end_datetime_utc)) |
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| 476 | rows = cursor_historical.fetchall() |
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| 477 | |||
| 478 | if rows is not None and len(rows) > 0: |
||
| 479 | for row in rows: |
||
| 480 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 481 | timedelta(minutes=timezone_offset) |
||
| 482 | current_datetime = current_datetime_local.isoformat()[0:19] |
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| 483 | point_timestamps.append(current_datetime) |
||
| 484 | point_values.append(row[1]) |
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| 485 | elif point['object_type'] == 'DIGITAL_VALUE': |
||
| 486 | query = (" SELECT utc_date_time, actual_value " |
||
| 487 | " FROM tbl_digital_value " |
||
| 488 | " WHERE point_id = %s " |
||
| 489 | " AND utc_date_time BETWEEN %s AND %s " |
||
| 490 | " ORDER BY utc_date_time ") |
||
| 491 | cursor_historical.execute(query, (point['id'], |
||
| 492 | reporting_start_datetime_utc, |
||
| 493 | reporting_end_datetime_utc)) |
||
| 494 | rows = cursor_historical.fetchall() |
||
| 495 | |||
| 496 | if rows is not None and len(rows) > 0: |
||
| 497 | for row in rows: |
||
| 498 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
||
| 499 | timedelta(minutes=timezone_offset) |
||
| 500 | current_datetime = current_datetime_local.isoformat()[0:19] |
||
| 501 | point_timestamps.append(current_datetime) |
||
| 502 | point_values.append(row[1]) |
||
| 503 | |||
| 504 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
||
| 505 | parameters_data['timestamps'].append(point_timestamps) |
||
| 506 | parameters_data['values'].append(point_values) |
||
| 507 | |||
| 508 | ################################################################################################################ |
||
| 509 | # Step 12: construct the report |
||
| 510 | ################################################################################################################ |
||
| 511 | if cursor_system: |
||
| 512 | cursor_system.close() |
||
| 513 | if cnx_system: |
||
| 514 | cnx_system.close() |
||
| 515 | |||
| 516 | if cursor_energy: |
||
| 517 | cursor_energy.close() |
||
| 518 | if cnx_energy: |
||
| 519 | cnx_energy.close() |
||
| 520 | |||
| 521 | if cursor_historical: |
||
| 522 | cursor_historical.close() |
||
| 523 | if cnx_historical: |
||
| 524 | cnx_historical.close() |
||
| 525 | |||
| 526 | result = dict() |
||
| 527 | |||
| 528 | result['equipment'] = dict() |
||
| 529 | result['equipment']['name'] = equipment['name'] |
||
| 530 | |||
| 531 | result['base_period'] = dict() |
||
| 532 | result['base_period']['names'] = list() |
||
| 533 | result['base_period']['units'] = list() |
||
| 534 | result['base_period']['timestamps'] = list() |
||
| 535 | result['base_period']['values'] = list() |
||
| 536 | result['base_period']['subtotals'] = list() |
||
| 537 | if energy_category_set is not None and len(energy_category_set) > 0: |
||
| 538 | for energy_category_id in energy_category_set: |
||
| 539 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 540 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 541 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
||
| 542 | result['base_period']['values'].append(base[energy_category_id]['values']) |
||
| 543 | result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
||
| 544 | |||
| 545 | result['reporting_period'] = dict() |
||
| 546 | result['reporting_period']['names'] = list() |
||
| 547 | result['reporting_period']['energy_category_ids'] = list() |
||
| 548 | result['reporting_period']['units'] = list() |
||
| 549 | result['reporting_period']['timestamps'] = list() |
||
| 550 | result['reporting_period']['values'] = list() |
||
| 551 | result['reporting_period']['rates'] = list() |
||
| 552 | result['reporting_period']['subtotals'] = list() |
||
| 553 | result['reporting_period']['increment_rates'] = list() |
||
| 554 | |||
| 555 | View Code Duplication | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 556 | for energy_category_id in energy_category_set: |
||
| 557 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
||
| 558 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
||
| 559 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
||
| 560 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
||
| 561 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
||
| 562 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
||
| 563 | result['reporting_period']['increment_rates'].append( |
||
| 564 | (reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
||
| 565 | base[energy_category_id]['subtotal'] |
||
| 566 | if base[energy_category_id]['subtotal'] > 0.0 else None) |
||
| 567 | |||
| 568 | rate = list() |
||
| 569 | for index, value in enumerate(reporting[energy_category_id]['values']): |
||
| 570 | if index < len(base[energy_category_id]['values']) \ |
||
| 571 | and base[energy_category_id]['values'][index] != 0 and value != 0: |
||
| 572 | rate.append((value - base[energy_category_id]['values'][index]) |
||
| 573 | / base[energy_category_id]['values'][index]) |
||
| 574 | else: |
||
| 575 | rate.append(None) |
||
| 576 | result['reporting_period']['rates'].append(rate) |
||
| 577 | |||
| 578 | result['parameters'] = { |
||
| 579 | "names": parameters_data['names'], |
||
| 580 | "timestamps": parameters_data['timestamps'], |
||
| 581 | "values": parameters_data['values'] |
||
| 582 | } |
||
| 583 | |||
| 584 | # export result to Excel file and then encode the file to base64 string |
||
| 585 | result['excel_bytes_base64'] = None |
||
| 586 | if not is_quick_mode: |
||
| 587 | result['excel_bytes_base64'] = excelexporters.equipmentoutput.export(result, |
||
| 588 | equipment['name'], |
||
| 589 | base_period_start_datetime_local, |
||
| 590 | base_period_end_datetime_local, |
||
| 591 | reporting_period_start_datetime_local, |
||
| 592 | reporting_period_end_datetime_local, |
||
| 593 | period_type, |
||
| 594 | language) |
||
| 595 | |||
| 596 | resp.text = json.dumps(result) |
||
| 597 |
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