MyEMS /
myems
| Conditions | 87 |
| Total Lines | 489 |
| Code Lines | 374 |
| Lines | 489 |
| Ratio | 100 % |
| 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.virtualmeterplan.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 |
||
| 32 | @staticmethod |
||
| 33 | def on_get(req, resp): |
||
| 34 | if 'API-KEY' not in req.headers or \ |
||
| 35 | not isinstance(req.headers['API-KEY'], str) or \ |
||
| 36 | len(str.strip(req.headers['API-KEY'])) == 0: |
||
| 37 | access_control(req) |
||
| 38 | else: |
||
| 39 | api_key_control(req) |
||
| 40 | print(req.params) |
||
| 41 | virtual_meter_id = req.params.get('virtualmeterid') |
||
| 42 | virtual_meter_uuid = req.params.get('virtualmeteruuid') |
||
| 43 | period_type = req.params.get('periodtype') |
||
| 44 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
||
| 45 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
||
| 46 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
||
| 47 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
||
| 48 | language = req.params.get('language') |
||
| 49 | quick_mode = req.params.get('quickmode') |
||
| 50 | |||
| 51 | ################################################################################################################ |
||
| 52 | # Step 1: valid parameters |
||
| 53 | ################################################################################################################ |
||
| 54 | if virtual_meter_id is None and virtual_meter_uuid is None: |
||
| 55 | raise falcon.HTTPError(status=falcon.HTTP_400, |
||
| 56 | title='API.BAD_REQUEST', |
||
| 57 | description='API.INVALID_VIRTUAL_METER_ID') |
||
| 58 | |||
| 59 | if virtual_meter_id is not None: |
||
| 60 | virtual_meter_id = str.strip(virtual_meter_id) |
||
| 61 | if not virtual_meter_id.isdigit() or int(virtual_meter_id) <= 0: |
||
| 62 | raise falcon.HTTPError(status=falcon.HTTP_400, |
||
| 63 | title='API.BAD_REQUEST', |
||
| 64 | description='API.INVALID_VIRTUAL_METER_ID') |
||
| 65 | |||
| 66 | if virtual_meter_uuid is not None: |
||
| 67 | 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) |
||
| 68 | match = regex.match(str.strip(virtual_meter_uuid)) |
||
| 69 | if not bool(match): |
||
| 70 | raise falcon.HTTPError(status=falcon.HTTP_400, |
||
| 71 | title='API.BAD_REQUEST', |
||
| 72 | description='API.INVALID_VIRTUAL_METER_UUID') |
||
| 73 | |||
| 74 | if period_type is None: |
||
| 75 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 76 | description='API.INVALID_PERIOD_TYPE') |
||
| 77 | else: |
||
| 78 | period_type = str.strip(period_type) |
||
| 79 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
||
| 80 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 81 | description='API.INVALID_PERIOD_TYPE') |
||
| 82 | |||
| 83 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
||
| 84 | if config.utc_offset[0] == '-': |
||
| 85 | timezone_offset = -timezone_offset |
||
| 86 | |||
| 87 | base_start_datetime_utc = None |
||
| 88 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
||
| 89 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
||
| 90 | try: |
||
| 91 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
||
| 92 | except ValueError: |
||
| 93 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 94 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
||
| 95 | base_start_datetime_utc = \ |
||
| 96 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
||
| 97 | # nomalize the start datetime |
||
| 98 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
||
| 99 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
||
| 100 | else: |
||
| 101 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
||
| 102 | |||
| 103 | base_end_datetime_utc = None |
||
| 104 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
||
| 105 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
||
| 106 | try: |
||
| 107 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
||
| 108 | except ValueError: |
||
| 109 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 110 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
||
| 111 | base_end_datetime_utc = \ |
||
| 112 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
||
| 113 | |||
| 114 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
||
| 115 | base_start_datetime_utc >= base_end_datetime_utc: |
||
| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 117 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
||
| 118 | |||
| 119 | if reporting_period_start_datetime_local is None: |
||
| 120 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 121 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
||
| 122 | else: |
||
| 123 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
||
| 124 | try: |
||
| 125 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
||
| 126 | '%Y-%m-%dT%H:%M:%S') |
||
| 127 | except ValueError: |
||
| 128 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 129 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
||
| 130 | reporting_start_datetime_utc = \ |
||
| 131 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
||
| 132 | # nomalize the start datetime |
||
| 133 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
||
| 134 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
||
| 135 | else: |
||
| 136 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
||
| 137 | |||
| 138 | if reporting_period_end_datetime_local is None: |
||
| 139 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 140 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
||
| 141 | else: |
||
| 142 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
||
| 143 | try: |
||
| 144 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
||
| 145 | '%Y-%m-%dT%H:%M:%S') |
||
| 146 | except ValueError: |
||
| 147 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 148 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
||
| 149 | reporting_end_datetime_utc = reporting_end_datetime_utc.replace(tzinfo=timezone.utc) - \ |
||
| 150 | timedelta(minutes=timezone_offset) |
||
| 151 | |||
| 152 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
||
| 153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
||
| 154 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
||
| 155 | |||
| 156 | # if turn quick mode on, do not return parameters data and excel file |
||
| 157 | is_quick_mode = False |
||
| 158 | if quick_mode is not None and \ |
||
| 159 | len(str.strip(quick_mode)) > 0 and \ |
||
| 160 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
||
| 161 | is_quick_mode = True |
||
| 162 | |||
| 163 | trans = utilities.get_translation(language) |
||
| 164 | trans.install() |
||
| 165 | _ = trans.gettext |
||
| 166 | |||
| 167 | ################################################################################################################ |
||
| 168 | # Step 2: query the virtual meter and energy category |
||
| 169 | ################################################################################################################ |
||
| 170 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
||
| 171 | cursor_system = cnx_system.cursor() |
||
| 172 | |||
| 173 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
||
| 174 | cursor_energy = cnx_energy.cursor() |
||
| 175 | |||
| 176 | cnx_energy_plan = mysql.connector.connect(**config.myems_energy_plan_db) |
||
| 177 | cursor_energy_plan = cnx_energy_plan.cursor() |
||
| 178 | |||
| 179 | cursor_system.execute(" SELECT m.id, m.name, m.cost_center_id, m.energy_category_id, " |
||
| 180 | " ec.name, ec.unit_of_measure, ec.kgce, ec.kgco2e " |
||
| 181 | " FROM tbl_virtual_meters m, tbl_energy_categories ec " |
||
| 182 | " WHERE m.id = %s AND m.energy_category_id = ec.id ", (virtual_meter_id,)) |
||
| 183 | row_virtual_meter = cursor_system.fetchone() |
||
| 184 | if row_virtual_meter is None: |
||
| 185 | if cursor_system: |
||
| 186 | cursor_system.close() |
||
| 187 | if cnx_system: |
||
| 188 | cnx_system.close() |
||
| 189 | |||
| 190 | if cursor_energy: |
||
| 191 | cursor_energy.close() |
||
| 192 | if cnx_energy: |
||
| 193 | cnx_energy.close() |
||
| 194 | |||
| 195 | if cursor_energy_plan: |
||
| 196 | cursor_energy_plan.close() |
||
| 197 | if cnx_energy_plan: |
||
| 198 | cnx_energy_plan.close() |
||
| 199 | raise falcon.HTTPError(status=falcon.HTTP_404, title='API.NOT_FOUND', |
||
| 200 | description='API.VIRTUAL_METER_NOT_FOUND') |
||
| 201 | |||
| 202 | virtual_meter = dict() |
||
| 203 | virtual_meter['id'] = row_virtual_meter[0] |
||
| 204 | virtual_meter['name'] = row_virtual_meter[1] |
||
| 205 | virtual_meter['cost_center_id'] = row_virtual_meter[2] |
||
| 206 | virtual_meter['energy_category_id'] = row_virtual_meter[3] |
||
| 207 | virtual_meter['energy_category_name'] = row_virtual_meter[4] |
||
| 208 | virtual_meter['unit_of_measure'] = row_virtual_meter[5] |
||
| 209 | virtual_meter['kgce'] = row_virtual_meter[6] |
||
| 210 | virtual_meter['kgco2e'] = row_virtual_meter[7] |
||
| 211 | |||
| 212 | ################################################################################################################ |
||
| 213 | # Step 3: query base period energy saving |
||
| 214 | ################################################################################################################ |
||
| 215 | base = dict() |
||
| 216 | base['timestamps'] = list() |
||
| 217 | base['values_plan'] = list() |
||
| 218 | base['values_actual'] = list() |
||
| 219 | base['values_saving'] = list() |
||
| 220 | base['total_in_category_plan'] = Decimal(0.0) |
||
| 221 | base['total_in_category_actual'] = Decimal(0.0) |
||
| 222 | base['total_in_category_saving'] = Decimal(0.0) |
||
| 223 | base['total_in_kgce_plan'] = Decimal(0.0) |
||
| 224 | base['total_in_kgce_actual'] = Decimal(0.0) |
||
| 225 | base['total_in_kgce_saving'] = Decimal(0.0) |
||
| 226 | base['total_in_kgco2e_plan'] = Decimal(0.0) |
||
| 227 | base['total_in_kgco2e_actual'] = Decimal(0.0) |
||
| 228 | base['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 229 | |||
| 230 | # query base period plan |
||
| 231 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
||
| 232 | " FROM tbl_virtual_meter_hourly " |
||
| 233 | " WHERE virtual_meter_id = %s " |
||
| 234 | " AND start_datetime_utc >= %s " |
||
| 235 | " AND start_datetime_utc < %s " |
||
| 236 | " ORDER BY start_datetime_utc ", |
||
| 237 | (virtual_meter['id'], |
||
| 238 | base_start_datetime_utc, |
||
| 239 | base_end_datetime_utc)) |
||
| 240 | rows_virtual_meter_hourly = cursor_energy_plan.fetchall() |
||
| 241 | |||
| 242 | rows_virtual_meter_periodically = \ |
||
| 243 | utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 244 | base_start_datetime_utc, |
||
| 245 | base_end_datetime_utc, |
||
| 246 | period_type) |
||
| 247 | |||
| 248 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 249 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 250 | timedelta(minutes=timezone_offset) |
||
| 251 | if period_type == 'hourly': |
||
| 252 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 253 | elif period_type == 'daily': |
||
| 254 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 255 | elif period_type == 'weekly': |
||
| 256 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 257 | elif period_type == 'monthly': |
||
| 258 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 259 | elif period_type == 'yearly': |
||
| 260 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 261 | |||
| 262 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
||
| 263 | else row_virtual_meter_periodically[1] |
||
| 264 | base['timestamps'].append(current_datetime) |
||
| 265 | base['values_plan'].append(actual_value) |
||
| 266 | base['total_in_category_plan'] += actual_value |
||
| 267 | base['total_in_kgce_plan'] += actual_value * virtual_meter['kgce'] |
||
| 268 | base['total_in_kgco2e_plan'] += actual_value * virtual_meter['kgco2e'] |
||
| 269 | |||
| 270 | # query base period actual |
||
| 271 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 272 | " FROM tbl_virtual_meter_hourly " |
||
| 273 | " WHERE virtual_meter_id = %s " |
||
| 274 | " AND start_datetime_utc >= %s " |
||
| 275 | " AND start_datetime_utc < %s " |
||
| 276 | " ORDER BY start_datetime_utc ", |
||
| 277 | (virtual_meter['id'], |
||
| 278 | base_start_datetime_utc, |
||
| 279 | base_end_datetime_utc)) |
||
| 280 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
||
| 281 | |||
| 282 | rows_virtual_meter_periodically = \ |
||
| 283 | utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 284 | base_start_datetime_utc, |
||
| 285 | base_end_datetime_utc, |
||
| 286 | period_type) |
||
| 287 | |||
| 288 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 289 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 290 | timedelta(minutes=timezone_offset) |
||
| 291 | if period_type == 'hourly': |
||
| 292 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 293 | elif period_type == 'daily': |
||
| 294 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 295 | elif period_type == 'weekly': |
||
| 296 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 297 | elif period_type == 'monthly': |
||
| 298 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 299 | elif period_type == 'yearly': |
||
| 300 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 301 | |||
| 302 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
||
| 303 | else row_virtual_meter_periodically[1] |
||
| 304 | base['values_actual'].append(actual_value) |
||
| 305 | base['total_in_category_actual'] += actual_value |
||
| 306 | base['total_in_kgce_actual'] += actual_value * virtual_meter['kgce'] |
||
| 307 | base['total_in_kgco2e_actual'] += actual_value * virtual_meter['kgco2e'] |
||
| 308 | |||
| 309 | # calculate base period saving |
||
| 310 | for i in range(len(base['values_plan'])): |
||
| 311 | base['values_saving'].append(base['values_plan'][i] - base['values_actual'][i]) |
||
| 312 | |||
| 313 | base['total_in_category_saving'] = base['total_in_category_plan'] - base['total_in_category_actual'] |
||
| 314 | base['total_in_kgce_saving'] = base['total_in_kgce_plan'] - base['total_in_kgce_actual'] |
||
| 315 | base['total_in_kgco2e_saving'] = base['total_in_kgco2e_plan'] - base['total_in_kgco2e_actual'] |
||
| 316 | |||
| 317 | ################################################################################################################ |
||
| 318 | # Step 3: query reporting period energy saving |
||
| 319 | ################################################################################################################ |
||
| 320 | reporting = dict() |
||
| 321 | reporting['timestamps'] = list() |
||
| 322 | reporting['values_plan'] = list() |
||
| 323 | reporting['values_actual'] = list() |
||
| 324 | reporting['values_saving'] = list() |
||
| 325 | reporting['values_rates'] = list() |
||
| 326 | reporting['total_in_category_plan'] = Decimal(0.0) |
||
| 327 | reporting['total_in_category_actual'] = Decimal(0.0) |
||
| 328 | reporting['total_in_category_saving'] = Decimal(0.0) |
||
| 329 | reporting['total_in_kgce_plan'] = Decimal(0.0) |
||
| 330 | reporting['total_in_kgce_actual'] = Decimal(0.0) |
||
| 331 | reporting['total_in_kgce_saving'] = Decimal(0.0) |
||
| 332 | reporting['total_in_kgco2e_plan'] = Decimal(0.0) |
||
| 333 | reporting['total_in_kgco2e_actual'] = Decimal(0.0) |
||
| 334 | reporting['total_in_kgco2e_saving'] = Decimal(0.0) |
||
| 335 | # query reporting period plan |
||
| 336 | cursor_energy_plan.execute(" SELECT start_datetime_utc, actual_value " |
||
| 337 | " FROM tbl_virtual_meter_hourly " |
||
| 338 | " WHERE virtual_meter_id = %s " |
||
| 339 | " AND start_datetime_utc >= %s " |
||
| 340 | " AND start_datetime_utc < %s " |
||
| 341 | " ORDER BY start_datetime_utc ", |
||
| 342 | (virtual_meter['id'], |
||
| 343 | reporting_start_datetime_utc, |
||
| 344 | reporting_end_datetime_utc)) |
||
| 345 | rows_virtual_meter_hourly = cursor_energy_plan.fetchall() |
||
| 346 | |||
| 347 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 348 | reporting_start_datetime_utc, |
||
| 349 | reporting_end_datetime_utc, |
||
| 350 | period_type) |
||
| 351 | |||
| 352 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 353 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 354 | timedelta(minutes=timezone_offset) |
||
| 355 | if period_type == 'hourly': |
||
| 356 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 357 | elif period_type == 'daily': |
||
| 358 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 359 | elif period_type == 'weekly': |
||
| 360 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 361 | elif period_type == 'monthly': |
||
| 362 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 363 | elif period_type == 'yearly': |
||
| 364 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 365 | |||
| 366 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
||
| 367 | else row_virtual_meter_periodically[1] |
||
| 368 | |||
| 369 | reporting['timestamps'].append(current_datetime) |
||
| 370 | reporting['values_plan'].append(actual_value) |
||
| 371 | reporting['total_in_category_plan'] += actual_value |
||
| 372 | reporting['total_in_kgce_plan'] += actual_value * virtual_meter['kgce'] |
||
| 373 | reporting['total_in_kgco2e_plan'] += actual_value * virtual_meter['kgco2e'] |
||
| 374 | |||
| 375 | # query reporting period actual |
||
| 376 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
||
| 377 | " FROM tbl_virtual_meter_hourly " |
||
| 378 | " WHERE virtual_meter_id = %s " |
||
| 379 | " AND start_datetime_utc >= %s " |
||
| 380 | " AND start_datetime_utc < %s " |
||
| 381 | " ORDER BY start_datetime_utc ", |
||
| 382 | (virtual_meter['id'], |
||
| 383 | reporting_start_datetime_utc, |
||
| 384 | reporting_end_datetime_utc)) |
||
| 385 | rows_virtual_meter_hourly = cursor_energy.fetchall() |
||
| 386 | |||
| 387 | rows_virtual_meter_periodically = utilities.aggregate_hourly_data_by_period(rows_virtual_meter_hourly, |
||
| 388 | reporting_start_datetime_utc, |
||
| 389 | reporting_end_datetime_utc, |
||
| 390 | period_type) |
||
| 391 | |||
| 392 | for row_virtual_meter_periodically in rows_virtual_meter_periodically: |
||
| 393 | current_datetime_local = row_virtual_meter_periodically[0].replace(tzinfo=timezone.utc) + \ |
||
| 394 | timedelta(minutes=timezone_offset) |
||
| 395 | if period_type == 'hourly': |
||
| 396 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
||
| 397 | elif period_type == 'daily': |
||
| 398 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 399 | elif period_type == 'weekly': |
||
| 400 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
||
| 401 | elif period_type == 'monthly': |
||
| 402 | current_datetime = current_datetime_local.strftime('%Y-%m') |
||
| 403 | elif period_type == 'yearly': |
||
| 404 | current_datetime = current_datetime_local.strftime('%Y') |
||
| 405 | |||
| 406 | actual_value = Decimal(0.0) if row_virtual_meter_periodically[1] is None \ |
||
| 407 | else row_virtual_meter_periodically[1] |
||
| 408 | |||
| 409 | reporting['values_actual'].append(actual_value) |
||
| 410 | reporting['total_in_category_actual'] += actual_value |
||
| 411 | reporting['total_in_kgce_actual'] += actual_value * virtual_meter['kgce'] |
||
| 412 | reporting['total_in_kgco2e_actual'] += actual_value * virtual_meter['kgco2e'] |
||
| 413 | |||
| 414 | # calculate base period saving |
||
| 415 | for i in range(len(reporting['values_plan'])): |
||
| 416 | reporting['values_saving'].append(reporting['values_plan'][i] - reporting['values_actual'][i]) |
||
| 417 | |||
| 418 | reporting['total_in_category_saving'] = \ |
||
| 419 | reporting['total_in_category_plan'] - reporting['total_in_category_actual'] |
||
| 420 | reporting['total_in_kgce_saving'] = \ |
||
| 421 | reporting['total_in_kgce_plan'] - reporting['total_in_kgce_actual'] |
||
| 422 | reporting['total_in_kgco2e_saving'] = \ |
||
| 423 | reporting['total_in_kgco2e_plan'] - reporting['total_in_kgco2e_actual'] |
||
| 424 | |||
| 425 | for index, value in enumerate(reporting['values_saving']): |
||
| 426 | if index < len(base['values_saving']) and base['values_saving'][index] != 0 and value != 0: |
||
| 427 | reporting['values_rates'].append((value - base['values_saving'][index]) / base['values_saving'][index]) |
||
| 428 | else: |
||
| 429 | reporting['values_rates'].append(None) |
||
| 430 | |||
| 431 | ################################################################################################################ |
||
| 432 | # Step 5: query tariff data |
||
| 433 | ################################################################################################################ |
||
| 434 | parameters_data = dict() |
||
| 435 | parameters_data['names'] = list() |
||
| 436 | parameters_data['timestamps'] = list() |
||
| 437 | parameters_data['values'] = list() |
||
| 438 | if config.is_tariff_appended and not is_quick_mode: |
||
| 439 | tariff_dict = utilities.get_energy_category_tariffs(virtual_meter['cost_center_id'], |
||
| 440 | virtual_meter['energy_category_id'], |
||
| 441 | reporting_start_datetime_utc, |
||
| 442 | reporting_end_datetime_utc) |
||
| 443 | tariff_timestamp_list = list() |
||
| 444 | tariff_value_list = list() |
||
| 445 | for k, v in tariff_dict.items(): |
||
| 446 | # convert k from utc to local |
||
| 447 | k = k + timedelta(minutes=timezone_offset) |
||
| 448 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
||
| 449 | tariff_value_list.append(v) |
||
| 450 | |||
| 451 | parameters_data['names'].append(_('Tariff') + '-' + virtual_meter['energy_category_name']) |
||
| 452 | parameters_data['timestamps'].append(tariff_timestamp_list) |
||
| 453 | parameters_data['values'].append(tariff_value_list) |
||
| 454 | |||
| 455 | ################################################################################################################ |
||
| 456 | # Step 6: construct the report |
||
| 457 | ################################################################################################################ |
||
| 458 | if cursor_system: |
||
| 459 | cursor_system.close() |
||
| 460 | if cnx_system: |
||
| 461 | cnx_system.close() |
||
| 462 | |||
| 463 | if cursor_energy: |
||
| 464 | cursor_energy.close() |
||
| 465 | if cnx_energy: |
||
| 466 | cnx_energy.close() |
||
| 467 | |||
| 468 | if cursor_energy_plan: |
||
| 469 | cursor_energy_plan.close() |
||
| 470 | if cnx_energy_plan: |
||
| 471 | cnx_energy_plan.close() |
||
| 472 | |||
| 473 | result = { |
||
| 474 | "virtual_meter": { |
||
| 475 | "cost_center_id": virtual_meter['cost_center_id'], |
||
| 476 | "energy_category_id": virtual_meter['energy_category_id'], |
||
| 477 | "energy_category_name": virtual_meter['energy_category_name'], |
||
| 478 | "unit_of_measure": virtual_meter['unit_of_measure'], |
||
| 479 | "kgce": virtual_meter['kgce'], |
||
| 480 | "kgco2e": virtual_meter['kgco2e'], |
||
| 481 | }, |
||
| 482 | "base_period": { |
||
| 483 | "total_in_category_saving": base['total_in_category_saving'], |
||
| 484 | "total_in_kgce_saving": base['total_in_kgce_saving'], |
||
| 485 | "total_in_kgco2e_saving": base['total_in_kgco2e_saving'], |
||
| 486 | "timestamps": base['timestamps'], |
||
| 487 | "values_saving": base['values_saving'], |
||
| 488 | }, |
||
| 489 | "reporting_period": { |
||
| 490 | "increment_rate_saving": |
||
| 491 | (reporting['total_in_category_saving'] - base['total_in_category_saving']) / |
||
| 492 | base['total_in_category_saving'] |
||
| 493 | if base['total_in_category_saving'] != Decimal(0.0) else None, |
||
| 494 | "total_in_category_saving": reporting['total_in_category_saving'], |
||
| 495 | "total_in_kgce_saving": reporting['total_in_kgce_saving'], |
||
| 496 | "total_in_kgco2e_saving": reporting['total_in_kgco2e_saving'], |
||
| 497 | "timestamps": reporting['timestamps'], |
||
| 498 | "values_saving": reporting['values_saving'], |
||
| 499 | "values_rates": reporting['values_rates'], |
||
| 500 | }, |
||
| 501 | "parameters": { |
||
| 502 | "names": parameters_data['names'], |
||
| 503 | "timestamps": parameters_data['timestamps'], |
||
| 504 | "values": parameters_data['values'] |
||
| 505 | }, |
||
| 506 | } |
||
| 507 | |||
| 508 | # export result to Excel file and then encode the file to base64 string |
||
| 509 | if not is_quick_mode: |
||
| 510 | result['excel_bytes_base64'] = \ |
||
| 511 | excelexporters.virtualmetersaving.export(result, |
||
| 512 | virtual_meter['name'], |
||
| 513 | base_period_start_datetime_local, |
||
| 514 | base_period_end_datetime_local, |
||
| 515 | reporting_period_start_datetime_local, |
||
| 516 | reporting_period_end_datetime_local, |
||
| 517 | period_type, |
||
| 518 | language) |
||
| 519 | |||
| 520 | resp.text = json.dumps(result) |
||
| 521 |
Loading history...