MyEMS /
myems
| Conditions | 73 |
| Total Lines | 506 |
| Code Lines | 404 |
| Lines | 0 |
| Ratio | 0 % |
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like reports.virtualmetersaving.Reporting.on_get() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import re |
||
| 31 | @staticmethod |
||
| 32 | def on_get(req, resp): |
||
| 33 | print(req.params) |
||
| 34 | virtual_meter_id = req.params.get('virtualmeterid') |
||
| 35 | virtual_meter_uuid = req.params.get('virtualmeteruuid') |
||
| 36 | period_type = req.params.get('periodtype') |
||
| 37 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
||
| 38 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
||
| 39 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
||
| 40 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
||
| 41 | |||
| 42 | ################################################################################################################ |
||
| 43 | # Step 1: valid parameters |
||
| 44 | ################################################################################################################ |
||
| 45 | if virtual_meter_id is None and virtual_meter_id is None: |
||
| 46 | raise falcon.HTTPError(falcon.HTTP_400, |
||
| 47 | title='API.BAD_REQUEST', |
||
| 48 | description='API.INVALID_VIRTUAL_METER_ID') |
||
| 49 | |||
| 50 | if virtual_meter_id is not None: |
||
| 51 | virtual_meter_id = str.strip(virtual_meter_id) |
||
| 52 | if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0: |
||
| 53 | raise falcon.HTTPError(falcon.HTTP_400, |
||
| 54 | title='API.BAD_REQUEST', |
||
| 55 | description='API.INVALID_VIRTUAL_METER_ID') |
||
| 56 | |||
| 57 | if virtual_meter_uuid is not None: |
||
| 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) |
||
| 59 | match = regex.match(str.strip(virtual_meter_uuid)) |
||
| 60 | if not bool(match): |
||
| 61 | raise falcon.HTTPError(falcon.HTTP_400, |
||
| 62 | title='API.BAD_REQUEST', |
||
| 63 | description='API.INVALID_VIRTUAL_METER_UUID') |
||
| 64 | |||
| 65 | if period_type is None: |
||
| 66 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
||
| 67 | else: |
||
| 68 | period_type = str.strip(period_type) |
||
| 69 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
||
| 70 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
||
| 71 | |||
| 72 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
||
| 73 | if config.utc_offset[0] == '-': |
||
| 74 | timezone_offset = -timezone_offset |
||
| 75 | |||
| 76 | base_start_datetime_utc = None |
||
| 77 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
||
| 78 | base_start_datetime_local = str.strip(base_start_datetime_local) |
||
| 79 | try: |
||
| 80 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
||
| 81 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
||
| 82 | timedelta(minutes=timezone_offset) |
||
| 83 | except ValueError: |
||
| 84 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 85 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
||
| 86 | |||
| 87 | base_end_datetime_utc = None |
||
| 88 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
||
| 89 | base_end_datetime_local = str.strip(base_end_datetime_local) |
||
| 90 | try: |
||
| 91 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
||
| 92 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
||
| 93 | timedelta(minutes=timezone_offset) |
||
| 94 | except ValueError: |
||
| 95 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 96 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
||
| 97 | |||
| 98 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
||
| 99 | base_start_datetime_utc >= base_end_datetime_utc: |
||
| 100 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 101 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
||
| 102 | |||
| 103 | if reporting_start_datetime_local is None: |
||
| 104 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 105 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
||
| 106 | else: |
||
| 107 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
||
| 108 | try: |
||
| 109 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
||
| 110 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
||
| 111 | timedelta(minutes=timezone_offset) |
||
| 112 | except ValueError: |
||
| 113 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 114 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
||
| 115 | |||
| 116 | if reporting_end_datetime_local is None: |
||
| 117 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 118 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
||
| 119 | else: |
||
| 120 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
||
| 121 | try: |
||
| 122 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
||
| 123 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
||
| 124 | timedelta(minutes=timezone_offset) |
||
| 125 | except ValueError: |
||
| 126 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 127 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
||
| 128 | |||
| 129 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
||
| 130 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 131 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
||
| 132 | |||
| 133 | ################################################################################################################ |
||
| 134 | # Step 2: query the meter and energy category |
||
| 135 | ################################################################################################################ |
||
| 136 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
||
| 137 | cursor_system = cnx_system.cursor() |
||
| 138 | |||
| 139 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
||
| 140 | cursor_energy = cnx_energy.cursor() |
||
| 141 | |||
| 142 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
||
| 143 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
||
| 144 | |||
| 145 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
||
| 146 | cursor_historical = cnx_historical.cursor() |
||
| 147 | if virtual_meter_id is not None: |
||
| 148 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
||
| 149 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
||
| 150 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
||
| 151 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,)) |
||
| 152 | row_virtual_meter = cursor_system.fetchone() |
||
| 153 | elif virtual_meter_uuid is not None: |
||
| 154 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
||
| 155 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
||
| 156 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
||
| 157 | " WHERE m.uuid = %s AND m.energy_category_id = ec.id ", (virtual_meter_uuid,)) |
||
| 158 | row_virtual_meter = cursor_system.fetchone() |
||
| 159 | |||
| 160 | if row_virtual_meter is None: |
||
|
introduced
by
|
|||
| 161 | if cursor_system: |
||
| 162 | cursor_system.close() |
||
| 163 | if cnx_system: |
||
| 164 | cnx_system.close() |
||
| 165 | |||
| 166 | if cursor_energy: |
||
| 167 | cursor_energy.close() |
||
| 168 | if cnx_energy: |
||
| 169 | cnx_energy.close() |
||
| 170 | |||
| 171 | if cursor_energy_baseline: |
||
| 172 | cursor_energy_baseline.close() |
||
| 173 | if cnx_energy_baseline: |
||
| 174 | cnx_energy_baseline.close() |
||
| 175 | |||
| 176 | if cursor_historical: |
||
| 177 | cursor_historical.close() |
||
| 178 | if cnx_historical: |
||
| 179 | cnx_historical.close() |
||
| 180 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.VIRTUAL_METER_NOT_FOUND') |
||
| 181 | |||
| 182 | virtual_meter = dict() |
||
| 183 | virtual_meter['id'] = row_virtual_meter[0] |
||
| 184 | virtual_meter['name'] = row_virtual_meter[1] |
||
| 185 | virtual_meter['cost_center_id'] = row_virtual_meter[2] |
||
| 186 | virtual_meter['energy_category_id'] = row_virtual_meter[3] |
||
| 187 | virtual_meter['energy_category_name'] = row_virtual_meter[4] |
||
| 188 | virtual_meter['unit_of_measure'] = row_virtual_meter[5] |
||
| 189 | virtual_meter['kgce'] = row_virtual_meter[6] |
||
| 190 | virtual_meter['kgco2e'] = row_virtual_meter[7] |
||
| 191 | ################################################################################################################ |
||
| 192 | # Step 3: query base period energy saving |
||
| 193 | ################################################################################################################ |
||
| 194 | kgce = virtual_meter['kgce'] |
||
| 195 | kgco2e = virtual_meter['kgco2e'] |
||
| 196 | base = dict() |
||
| 197 | base['timestamps'] = list() |
||
| 198 | base['values_baseline'] = list() |
||
| 199 | base['values_actual'] = list() |
||
| 200 | base['values_saving'] = list() |
||
| 201 | base['subtotal_baseline'] = Decimal(0.0) |
||
| 202 | base['subtotal_actual'] = Decimal(0.0) |
||
| 203 | base['subtotal_saving'] = Decimal(0.0) |
||
| 204 | base['subtotal_in_kgce_baseline'] = Decimal(0.0) |
||
| 205 | base['subtotal_in_kgce_actual'] = Decimal(0.0) |
||
| 206 | base['subtotal_in_kgce_saving'] = Decimal(0.0) |
||
| 207 | base['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
||
| 208 | base['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
||
| 209 | base['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
||
| 210 | # query base period's energy baseline |
||
| 211 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
||
| 212 | " FROM tbl_virtual_meter_hourly " |
||
| 213 | " WHERE virtual_meter_id = %s " |
||
| 214 | " AND start_datetime_utc >= %s " |
||
| 215 | " AND start_datetime_utc < %s " |
||
| 216 | " ORDER BY start_datetime_utc ", |
||
| 217 | (virtual_meter['id'], |
||
| 218 | base_start_datetime_utc, |
||
| 219 | base_end_datetime_utc)) |
||
| 220 | rows_virtual_meter_hourly = cursor_energy_baseline.fetchall() |
||
| 221 | |||
| 222 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 223 | base_start_datetime_utc, |
||
| 224 | base_end_datetime_utc, |
||
| 225 | period_type) |
||
| 226 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 227 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 228 | timedelta(minutes=timezone_offset) |
||
| 229 | if period_type == 'hourly': |
||
| 230 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 231 | elif period_type == 'daily': |
||
| 232 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 233 | elif period_type == 'weekly': |
||
| 234 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 235 | elif period_type == 'monthly': |
||
| 236 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 237 | elif period_type == 'yearly': |
||
| 238 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 239 | |||
| 240 | baseline_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
||
| 241 | base['timestamps'].append(current_datetime) |
||
| 242 | base['values_baseline'].append(baseline_value) |
||
| 243 | base['subtotal_baseline'] += baseline_value |
||
| 244 | base['subtotal_in_kgce_baseline'] += baseline_value * kgce |
||
| 245 | base['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
||
| 246 | |||
| 247 | # query base period's energy actual |
||
| 248 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 249 | " FROM tbl_virtual_meter_hourly " |
||
| 250 | " WHERE virtual_meter_id = %s " |
||
| 251 | " AND start_datetime_utc >= %s " |
||
| 252 | " AND start_datetime_utc < %s " |
||
| 253 | " ORDER BY start_datetime_utc ", |
||
| 254 | (virtual_meter['id'], |
||
| 255 | base_start_datetime_utc, |
||
| 256 | base_end_datetime_utc)) |
||
| 257 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
||
| 258 | |||
| 259 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 260 | base_start_datetime_utc, |
||
| 261 | base_end_datetime_utc, |
||
| 262 | period_type) |
||
| 263 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 264 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 265 | timedelta(minutes=timezone_offset) |
||
| 266 | if period_type == 'hourly': |
||
| 267 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 268 | elif period_type == 'daily': |
||
| 269 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 270 | elif period_type == 'weekly': |
||
| 271 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 272 | elif period_type == 'monthly': |
||
| 273 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 274 | elif period_type == 'yearly': |
||
| 275 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 276 | |||
| 277 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
||
| 278 | base['values_actual'].append(actual_value) |
||
| 279 | base['subtotal_actual'] += actual_value |
||
| 280 | base['subtotal_in_kgce_actual'] += actual_value * kgce |
||
| 281 | base['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
||
| 282 | # calculate base period's energy savings |
||
| 283 | for i in range(len(base['values_baseline'])): |
||
| 284 | base['values_saving'].append( |
||
| 285 | base['values_baseline'][i] - |
||
| 286 | base['values_actual'][i]) |
||
| 287 | |||
| 288 | base['subtotal_saving'] = \ |
||
| 289 | base['subtotal_baseline'] - \ |
||
| 290 | base['subtotal_actual'] |
||
| 291 | base['subtotal_in_kgce_saving'] = \ |
||
| 292 | base['subtotal_in_kgce_baseline'] - \ |
||
| 293 | base['subtotal_in_kgce_actual'] |
||
| 294 | base['subtotal_in_kgco2e_saving'] = \ |
||
| 295 | base['subtotal_in_kgco2e_baseline'] - \ |
||
| 296 | base['subtotal_in_kgco2e_actual'] |
||
| 297 | ################################################################################################################ |
||
| 298 | # Step 4: query reporting period energy saving |
||
| 299 | ################################################################################################################ |
||
| 300 | reporting = dict() |
||
| 301 | kgce = virtual_meter['kgce'] |
||
| 302 | kgco2e = virtual_meter['kgco2e'] |
||
| 303 | |||
| 304 | reporting = dict() |
||
| 305 | reporting['timestamps'] = list() |
||
| 306 | reporting['values_baseline'] = list() |
||
| 307 | reporting['values_actual'] = list() |
||
| 308 | reporting['values_saving'] = list() |
||
| 309 | reporting['subtotal_baseline'] = Decimal(0.0) |
||
| 310 | reporting['subtotal_actual'] = Decimal(0.0) |
||
| 311 | reporting['subtotal_saving'] = Decimal(0.0) |
||
| 312 | reporting['subtotal_in_kgce_baseline'] = Decimal(0.0) |
||
| 313 | reporting['subtotal_in_kgce_actual'] = Decimal(0.0) |
||
| 314 | reporting['subtotal_in_kgce_saving'] = Decimal(0.0) |
||
| 315 | reporting['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
||
| 316 | reporting['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
||
| 317 | reporting['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
||
| 318 | # query reporting period's energy baseline |
||
| 319 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
||
| 320 | " FROM tbl_virtual_meter_hourly " |
||
| 321 | " WHERE virtual_meter_id = %s " |
||
| 322 | " AND start_datetime_utc >= %s " |
||
| 323 | " AND start_datetime_utc < %s " |
||
| 324 | " ORDER BY start_datetime_utc ", |
||
| 325 | (virtual_meter['id'], |
||
| 326 | reporting_start_datetime_utc, |
||
| 327 | reporting_end_datetime_utc)) |
||
| 328 | rows_virtual_meter_hourly = cursor_energy_baseline.fetchall() |
||
| 329 | |||
| 330 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 331 | reporting_start_datetime_utc, |
||
| 332 | reporting_end_datetime_utc, |
||
| 333 | period_type) |
||
| 334 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 335 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 336 | timedelta(minutes=timezone_offset) |
||
| 337 | if period_type == 'hourly': |
||
| 338 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 339 | elif period_type == 'daily': |
||
| 340 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 341 | elif period_type == 'weekly': |
||
| 342 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 343 | elif period_type == 'monthly': |
||
| 344 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 345 | elif period_type == 'yearly': |
||
| 346 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 347 | |||
| 348 | baseline_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
||
| 349 | reporting['timestamps'].append(current_datetime) |
||
| 350 | reporting['values_baseline'].append(baseline_value) |
||
| 351 | reporting['subtotal_baseline'] += baseline_value |
||
| 352 | reporting['subtotal_in_kgce_baseline'] += baseline_value * kgce |
||
| 353 | reporting['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
||
| 354 | |||
| 355 | # query reporting period's energy actual |
||
| 356 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 357 | " FROM tbl_virtual_meter_hourly " |
||
| 358 | " WHERE virtual_meter_id = %s " |
||
| 359 | " AND start_datetime_utc >= %s " |
||
| 360 | " AND start_datetime_utc < %s " |
||
| 361 | " ORDER BY start_datetime_utc ", |
||
| 362 | (virtual_meter['id'], |
||
| 363 | reporting_start_datetime_utc, |
||
| 364 | reporting_end_datetime_utc)) |
||
| 365 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
||
| 366 | |||
| 367 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 368 | reporting_start_datetime_utc, |
||
| 369 | reporting_end_datetime_utc, |
||
| 370 | period_type) |
||
| 371 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 372 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None else row_virtual_meter_periodically[1] |
||
| 373 | reporting['values_actual'].append(actual_value) |
||
| 374 | reporting['subtotal_actual'] += actual_value |
||
| 375 | reporting['subtotal_in_kgce_actual'] += actual_value * kgce |
||
| 376 | reporting['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
||
| 377 | |||
| 378 | # calculate reporting period's energy savings |
||
| 379 | for i in range(len(reporting['values_baseline'])): |
||
| 380 | reporting['values_saving'].append( |
||
| 381 | reporting['values_baseline'][i] - |
||
| 382 | reporting['values_actual'][i]) |
||
| 383 | |||
| 384 | reporting['subtotal_saving'] = \ |
||
| 385 | reporting['subtotal_baseline'] - \ |
||
| 386 | reporting['subtotal_actual'] |
||
| 387 | reporting['subtotal_in_kgce_saving'] = \ |
||
| 388 | reporting['subtotal_in_kgce_baseline'] - \ |
||
| 389 | reporting['subtotal_in_kgce_actual'] |
||
| 390 | reporting['subtotal_in_kgco2e_saving'] = \ |
||
| 391 | reporting['subtotal_in_kgco2e_baseline'] - \ |
||
| 392 | reporting['subtotal_in_kgco2e_actual'] |
||
| 393 | ################################################################################################################ |
||
| 394 | # Step 5: query tariff data |
||
| 395 | ################################################################################################################ |
||
| 396 | parameters_data = dict() |
||
| 397 | parameters_data['names'] = list() |
||
| 398 | parameters_data['timestamps'] = list() |
||
| 399 | parameters_data['values'] = list() |
||
| 400 | energy_category_id = virtual_meter['energy_category_id'] |
||
| 401 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'], |
||
| 402 | energy_category_id, |
||
| 403 | reporting_start_datetime_utc, |
||
| 404 | reporting_end_datetime_utc) |
||
| 405 | tariff_timestamp_list = list() |
||
| 406 | tariff_value_list = list() |
||
| 407 | for key, value in energy_category_tariff_dict.items(): |
||
| 408 | # convert k from utc to local |
||
| 409 | key = key + timedelta(minutes=timezone_offset) |
||
| 410 | tariff_timestamp_list.append(key.isoformat()[0:19][0:19]) |
||
| 411 | tariff_value_list.append(value) |
||
| 412 | |||
| 413 | parameters_data['names'].append('TARIFF-' + virtual_meter['name']) |
||
| 414 | parameters_data['timestamps'].append(tariff_timestamp_list) |
||
| 415 | parameters_data['values'].append(tariff_value_list) |
||
| 416 | ################################################################################################################ |
||
| 417 | # Step6 : construct the report |
||
| 418 | ################################################################################################################ |
||
| 419 | if cursor_system: |
||
| 420 | cursor_system.close() |
||
| 421 | if cnx_system: |
||
| 422 | cnx_system.close() |
||
| 423 | |||
| 424 | if cursor_energy: |
||
| 425 | cursor_energy.close() |
||
| 426 | if cnx_energy: |
||
| 427 | cnx_energy.close() |
||
| 428 | |||
| 429 | if cursor_energy_baseline: |
||
| 430 | cursor_energy_baseline.close() |
||
| 431 | if cnx_energy_baseline: |
||
| 432 | cnx_energy_baseline.close() |
||
| 433 | |||
| 434 | if cursor_historical: |
||
| 435 | cursor_historical.close() |
||
| 436 | if cnx_historical: |
||
| 437 | cnx_historical.close() |
||
| 438 | |||
| 439 | result = dict() |
||
| 440 | |||
| 441 | result['meter'] = dict() |
||
| 442 | result['meter']['name'] = virtual_meter['name'] |
||
| 443 | |||
| 444 | result['base_period'] = dict() |
||
| 445 | result['base_period']['names'] = list() |
||
| 446 | result['base_period']['units'] = list() |
||
| 447 | result['base_period']['timestamps'] = list() |
||
| 448 | result['base_period']['values_actual'] = list() |
||
| 449 | result['base_period']['values_baseline'] = list() |
||
| 450 | result['base_period']['values_saving'] = list() |
||
| 451 | result['base_period']['subtotals_actual'] = list() |
||
| 452 | result['base_period']['subtotals_baseline'] = list() |
||
| 453 | result['base_period']['subtotals_saving'] = list() |
||
| 454 | result['base_period']['subtotals_in_kgce_saving'] = list() |
||
| 455 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 456 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 457 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 458 | |||
| 459 | result['base_period']['names'] = virtual_meter['name'] |
||
| 460 | result['base_period']['units'] = virtual_meter['unit_of_measure'] |
||
| 461 | result['base_period']['timestamps'] = base['timestamps'] |
||
| 462 | result['base_period']['values_actual'] = base['values_actual'] |
||
| 463 | result['base_period']['values_baseline'] = base['values_baseline'] |
||
| 464 | result['base_period']['values_saving'] = base['values_saving'] |
||
| 465 | result['base_period']['subtotals_actual'] = base['subtotal_actual'] |
||
| 466 | result['base_period']['subtotals_baseline'] = base['subtotal_baseline'] |
||
| 467 | result['base_period']['subtotals_saving'] = base['subtotal_saving'] |
||
| 468 | result['base_period']['subtotals_in_kgce_saving'] = base['subtotal_in_kgce_saving'] |
||
| 469 | result['base_period']['subtotals_in_kgco2e_saving'] = base['subtotal_in_kgco2e_saving'] |
||
| 470 | result['base_period']['total_in_kgce_saving'] += base['subtotal_in_kgce_saving'] |
||
| 471 | result['base_period']['total_in_kgco2e_saving'] += base['subtotal_in_kgco2e_saving'] |
||
| 472 | |||
| 473 | result['reporting_period'] = dict() |
||
| 474 | result['reporting_period']['names'] = list() |
||
| 475 | result['reporting_period']['energy_category_ids'] = list() |
||
| 476 | result['reporting_period']['units'] = list() |
||
| 477 | result['reporting_period']['timestamps'] = list() |
||
| 478 | result['reporting_period']['values_actual'] = list() |
||
| 479 | result['reporting_period']['values_baseline'] = list() |
||
| 480 | result['reporting_period']['values_saving'] = list() |
||
| 481 | result['reporting_period']['subtotals_actual'] = list() |
||
| 482 | result['reporting_period']['subtotals_baseline'] = list() |
||
| 483 | result['reporting_period']['subtotals_saving'] = list() |
||
| 484 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
||
| 485 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
||
| 486 | result['reporting_period']['increment_rates_saving'] = list() |
||
| 487 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
||
| 488 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 489 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
||
| 490 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
||
| 491 | |||
| 492 | result['reporting_period']['names'] = virtual_meter['name'] |
||
| 493 | result['reporting_period']['energy_category_ids'] = energy_category_id |
||
| 494 | result['reporting_period']['units'] = virtual_meter['unit_of_measure'] |
||
| 495 | result['reporting_period']['timestamps'] = reporting['timestamps'] |
||
| 496 | result['reporting_period']['values_actual'] = reporting['values_actual'] |
||
| 497 | result['reporting_period']['values_baseline'] = reporting['values_baseline'] |
||
| 498 | result['reporting_period']['values_saving'] = reporting['values_saving'] |
||
| 499 | result['reporting_period']['subtotals_actual'] = reporting['subtotal_actual'] |
||
| 500 | result['reporting_period']['subtotals_baseline'] = reporting['subtotal_baseline'] |
||
| 501 | result['reporting_period']['subtotals_saving'] = reporting['subtotal_saving'] |
||
| 502 | result['reporting_period']['subtotals_in_kgce_saving'] = reporting['subtotal_in_kgce_saving'] |
||
| 503 | result['reporting_period']['subtotals_in_kgco2e_saving'] = reporting['subtotal_in_kgco2e_saving'] |
||
| 504 | result['reporting_period']['increment_rates_saving'] = ( |
||
| 505 | (reporting['subtotal_saving'] - base['subtotal_saving']) / |
||
| 506 | base['subtotal_saving'] |
||
| 507 | if base['subtotal_saving'] > 0.0 else None) |
||
| 508 | result['reporting_period']['total_in_kgce_saving'] += \ |
||
| 509 | reporting['subtotal_in_kgce_saving'] |
||
| 510 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
||
| 511 | reporting['subtotal_in_kgco2e_saving'] |
||
| 512 | |||
| 513 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
||
| 514 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
||
| 515 | result['base_period']['total_in_kgce_saving'] \ |
||
| 516 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
||
| 517 | |||
| 518 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
||
| 519 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
||
| 520 | result['base_period']['total_in_kgco2e_saving'] \ |
||
| 521 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
||
| 522 | |||
| 523 | result['parameters'] = { |
||
| 524 | "names": parameters_data['names'], |
||
| 525 | "timestamps": parameters_data['timestamps'], |
||
| 526 | "values": parameters_data['values'] |
||
| 527 | } |
||
| 528 | |||
| 529 | # export result to Excel file and then encode the file to base64 string |
||
| 530 | result['excel_bytes_base64'] = excelexporters.virtualmetersaving.export(result, |
||
| 531 | virtual_meter['name'], |
||
| 532 | reporting_start_datetime_local, |
||
| 533 | reporting_end_datetime_local, |
||
| 534 | period_type) |
||
| 535 | |||
| 536 | resp.text = json.dumps(result) |
||
| 537 |
Loading history...