MyEMS /
myems
| @@ 14-674 (lines=661) @@ | ||
| 11 | from core.useractivity import access_control, api_key_control |
|
| 12 | ||
| 13 | ||
| 14 | class Reporting: |
|
| 15 | ||
| 16 | def __init__(self): |
|
| 17 | """"Initializes Reporting""" |
|
| 18 | pass |
|
| 19 | ||
| 20 | @staticmethod |
|
| 21 | def on_options(req, resp): |
|
| 22 | _ = req |
|
| 23 | resp.status = falcon.HTTP_200 |
|
| 24 | ||
| 25 | #################################################################################################################### |
|
| 26 | # PROCEDURES |
|
| 27 | # Step 1: valid parameters |
|
| 28 | # Step 2: query the combined equipment |
|
| 29 | # Step 3: query energy items |
|
| 30 | # Step 4: query associated points |
|
| 31 | # Step 5: query associated equipments |
|
| 32 | # Step 6: query base period energy carbon dioxide emissions |
|
| 33 | # Step 7: query reporting period energy carbon dioxide emissions |
|
| 34 | # Step 8: query tariff data |
|
| 35 | # Step 9: query associated points data |
|
| 36 | # Step 10: query associated equipments energy carbon dioxide emissions |
|
| 37 | # Step 11: construct the report |
|
| 38 | #################################################################################################################### |
|
| 39 | @staticmethod |
|
| 40 | def on_get(req, resp): |
|
| 41 | if 'API-KEY' not in req.headers or \ |
|
| 42 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 43 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 44 | access_control(req) |
|
| 45 | else: |
|
| 46 | api_key_control(req) |
|
| 47 | print(req.params) |
|
| 48 | combined_equipment_id = req.params.get('combinedequipmentid') |
|
| 49 | combined_equipment_uuid = req.params.get('combinedequipmentuuid') |
|
| 50 | period_type = req.params.get('periodtype') |
|
| 51 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 52 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 53 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 54 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 55 | language = req.params.get('language') |
|
| 56 | quick_mode = req.params.get('quickmode') |
|
| 57 | ||
| 58 | ################################################################################################################ |
|
| 59 | # Step 1: valid parameters |
|
| 60 | ################################################################################################################ |
|
| 61 | if combined_equipment_id is None and combined_equipment_uuid is None: |
|
| 62 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 63 | title='API.BAD_REQUEST', |
|
| 64 | description='API.INVALID_COMBINED_EQUIPMENT_ID') |
|
| 65 | ||
| 66 | if combined_equipment_id is not None: |
|
| 67 | combined_equipment_id = str.strip(combined_equipment_id) |
|
| 68 | if not combined_equipment_id.isdigit() or int(combined_equipment_id) <= 0: |
|
| 69 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 70 | title='API.BAD_REQUEST', |
|
| 71 | description='API.INVALID_COMBINED_EQUIPMENT_ID') |
|
| 72 | ||
| 73 | if combined_equipment_uuid is not None: |
|
| 74 | 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) |
|
| 75 | match = regex.match(str.strip(combined_equipment_uuid)) |
|
| 76 | if not bool(match): |
|
| 77 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 78 | title='API.BAD_REQUEST', |
|
| 79 | description='API.INVALID_COMBINED_EQUIPMENT_UUID') |
|
| 80 | ||
| 81 | if period_type is None: |
|
| 82 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 83 | description='API.INVALID_PERIOD_TYPE') |
|
| 84 | else: |
|
| 85 | period_type = str.strip(period_type) |
|
| 86 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 87 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 88 | description='API.INVALID_PERIOD_TYPE') |
|
| 89 | ||
| 90 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 91 | if config.utc_offset[0] == '-': |
|
| 92 | timezone_offset = -timezone_offset |
|
| 93 | ||
| 94 | base_start_datetime_utc = None |
|
| 95 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 96 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 97 | try: |
|
| 98 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 99 | except ValueError: |
|
| 100 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 101 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 102 | base_start_datetime_utc = \ |
|
| 103 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 104 | # nomalize the start datetime |
|
| 105 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 106 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 107 | else: |
|
| 108 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 109 | ||
| 110 | base_end_datetime_utc = None |
|
| 111 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 112 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 113 | try: |
|
| 114 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 115 | except ValueError: |
|
| 116 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 117 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 118 | base_end_datetime_utc = \ |
|
| 119 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 120 | ||
| 121 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 122 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 123 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 124 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 125 | ||
| 126 | if reporting_period_start_datetime_local is None: |
|
| 127 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 128 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 129 | else: |
|
| 130 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 131 | try: |
|
| 132 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 133 | '%Y-%m-%dT%H:%M:%S') |
|
| 134 | except ValueError: |
|
| 135 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 136 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 137 | reporting_start_datetime_utc = \ |
|
| 138 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 139 | # nomalize the start datetime |
|
| 140 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 141 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 142 | else: |
|
| 143 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 144 | ||
| 145 | if reporting_period_end_datetime_local is None: |
|
| 146 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 147 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 148 | else: |
|
| 149 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 150 | try: |
|
| 151 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 152 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 153 | timedelta(minutes=timezone_offset) |
|
| 154 | except ValueError: |
|
| 155 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 156 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 157 | ||
| 158 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 159 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 160 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 161 | ||
| 162 | # if turn quick mode on, do not return parameters data and excel file |
|
| 163 | is_quick_mode = False |
|
| 164 | if quick_mode is not None and \ |
|
| 165 | len(str.strip(quick_mode)) > 0 and \ |
|
| 166 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 167 | is_quick_mode = True |
|
| 168 | ||
| 169 | trans = utilities.get_translation(language) |
|
| 170 | trans.install() |
|
| 171 | _ = trans.gettext |
|
| 172 | ||
| 173 | ################################################################################################################ |
|
| 174 | # Step 2: query the combined equipment |
|
| 175 | ################################################################################################################ |
|
| 176 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 177 | cursor_system = cnx_system.cursor() |
|
| 178 | ||
| 179 | cnx_carbon = mysql.connector.connect(**config.myems_carbon_db) |
|
| 180 | cursor_carbon = cnx_carbon.cursor() |
|
| 181 | ||
| 182 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 183 | cursor_historical = cnx_historical.cursor() |
|
| 184 | ||
| 185 | if combined_equipment_id is not None: |
|
| 186 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 187 | " FROM tbl_combined_equipments " |
|
| 188 | " WHERE id = %s ", (combined_equipment_id,)) |
|
| 189 | row_combined_equipment = cursor_system.fetchone() |
|
| 190 | elif combined_equipment_uuid is not None: |
|
| 191 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 192 | " FROM tbl_combined_equipments " |
|
| 193 | " WHERE uuid = %s ", (combined_equipment_uuid,)) |
|
| 194 | row_combined_equipment = cursor_system.fetchone() |
|
| 195 | ||
| 196 | if row_combined_equipment is None: |
|
| 197 | if cursor_system: |
|
| 198 | cursor_system.close() |
|
| 199 | if cnx_system: |
|
| 200 | cnx_system.close() |
|
| 201 | ||
| 202 | if cursor_carbon: |
|
| 203 | cursor_carbon.close() |
|
| 204 | if cnx_carbon: |
|
| 205 | cnx_carbon.close() |
|
| 206 | ||
| 207 | if cursor_historical: |
|
| 208 | cursor_historical.close() |
|
| 209 | if cnx_historical: |
|
| 210 | cnx_historical.close() |
|
| 211 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 212 | title='API.NOT_FOUND', |
|
| 213 | description='API.COMBINED_EQUIPMENT_NOT_FOUND') |
|
| 214 | ||
| 215 | combined_equipment = dict() |
|
| 216 | combined_equipment['id'] = row_combined_equipment[0] |
|
| 217 | combined_equipment['name'] = row_combined_equipment[1] |
|
| 218 | combined_equipment['cost_center_id'] = row_combined_equipment[2] |
|
| 219 | ||
| 220 | ################################################################################################################ |
|
| 221 | # Step 3: query energy categories |
|
| 222 | ################################################################################################################ |
|
| 223 | energy_category_set = set() |
|
| 224 | # query energy categories in base period |
|
| 225 | cursor_carbon.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 226 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 227 | " WHERE combined_equipment_id = %s " |
|
| 228 | " AND start_datetime_utc >= %s " |
|
| 229 | " AND start_datetime_utc < %s ", |
|
| 230 | (combined_equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 231 | rows_energy_categories = cursor_carbon.fetchall() |
|
| 232 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 233 | for row_energy_category in rows_energy_categories: |
|
| 234 | energy_category_set.add(row_energy_category[0]) |
|
| 235 | ||
| 236 | # query energy categories in reporting period |
|
| 237 | cursor_carbon.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 238 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 239 | " WHERE combined_equipment_id = %s " |
|
| 240 | " AND start_datetime_utc >= %s " |
|
| 241 | " AND start_datetime_utc < %s ", |
|
| 242 | (combined_equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 243 | rows_energy_categories = cursor_carbon.fetchall() |
|
| 244 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 245 | for row_energy_category in rows_energy_categories: |
|
| 246 | energy_category_set.add(row_energy_category[0]) |
|
| 247 | ||
| 248 | # query all energy categories in base period and reporting period |
|
| 249 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 250 | " FROM tbl_energy_categories " |
|
| 251 | " ORDER BY id ", ) |
|
| 252 | rows_energy_categories = cursor_system.fetchall() |
|
| 253 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 254 | if cursor_system: |
|
| 255 | cursor_system.close() |
|
| 256 | if cnx_system: |
|
| 257 | cnx_system.close() |
|
| 258 | ||
| 259 | if cursor_carbon: |
|
| 260 | cursor_carbon.close() |
|
| 261 | if cnx_carbon: |
|
| 262 | cnx_carbon.close() |
|
| 263 | ||
| 264 | if cursor_historical: |
|
| 265 | cursor_historical.close() |
|
| 266 | if cnx_historical: |
|
| 267 | cnx_historical.close() |
|
| 268 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 269 | title='API.NOT_FOUND', |
|
| 270 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 271 | energy_category_dict = dict() |
|
| 272 | for row_energy_category in rows_energy_categories: |
|
| 273 | if row_energy_category[0] in energy_category_set: |
|
| 274 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 275 | "unit_of_measure": row_energy_category[2], |
|
| 276 | "kgce": row_energy_category[3], |
|
| 277 | "kgco2e": row_energy_category[4]} |
|
| 278 | ||
| 279 | ################################################################################################################ |
|
| 280 | # Step 4: query associated points |
|
| 281 | ################################################################################################################ |
|
| 282 | point_list = list() |
|
| 283 | cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type " |
|
| 284 | " FROM tbl_combined_equipments e, tbl_combined_equipments_parameters ep, tbl_points p " |
|
| 285 | " WHERE e.id = %s AND e.id = ep.combined_equipment_id AND ep.parameter_type = 'point' " |
|
| 286 | " AND ep.point_id = p.id " |
|
| 287 | " ORDER BY p.id ", (combined_equipment['id'],)) |
|
| 288 | rows_points = cursor_system.fetchall() |
|
| 289 | if rows_points is not None and len(rows_points) > 0: |
|
| 290 | for row in rows_points: |
|
| 291 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
| 292 | ||
| 293 | ################################################################################################################ |
|
| 294 | # Step 5: query associated equipments |
|
| 295 | ################################################################################################################ |
|
| 296 | associated_equipment_list = list() |
|
| 297 | cursor_system.execute(" SELECT e.id, e.name " |
|
| 298 | " FROM tbl_equipments e,tbl_combined_equipments_equipments ee" |
|
| 299 | " WHERE ee.combined_equipment_id = %s AND e.id = ee.equipment_id" |
|
| 300 | " ORDER BY id ", (combined_equipment['id'],)) |
|
| 301 | rows_associated_equipments = cursor_system.fetchall() |
|
| 302 | if rows_associated_equipments is not None and len(rows_associated_equipments) > 0: |
|
| 303 | for row in rows_associated_equipments: |
|
| 304 | associated_equipment_list.append({"id": row[0], "name": row[1]}) |
|
| 305 | ||
| 306 | ################################################################################################################ |
|
| 307 | # Step 6: query base period energy carbon dioxide emissions |
|
| 308 | ################################################################################################################ |
|
| 309 | base = dict() |
|
| 310 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 311 | for energy_category_id in energy_category_set: |
|
| 312 | base[energy_category_id] = dict() |
|
| 313 | base[energy_category_id]['timestamps'] = list() |
|
| 314 | base[energy_category_id]['values'] = list() |
|
| 315 | base[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 316 | ||
| 317 | cursor_carbon.execute(" SELECT start_datetime_utc, actual_value " |
|
| 318 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 319 | " WHERE combined_equipment_id = %s " |
|
| 320 | " AND energy_category_id = %s " |
|
| 321 | " AND start_datetime_utc >= %s " |
|
| 322 | " AND start_datetime_utc < %s " |
|
| 323 | " ORDER BY start_datetime_utc ", |
|
| 324 | (combined_equipment['id'], |
|
| 325 | energy_category_id, |
|
| 326 | base_start_datetime_utc, |
|
| 327 | base_end_datetime_utc)) |
|
| 328 | rows_combined_equipment_hourly = cursor_carbon.fetchall() |
|
| 329 | ||
| 330 | rows_combined_equipment_periodically = \ |
|
| 331 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 332 | base_start_datetime_utc, |
|
| 333 | base_end_datetime_utc, |
|
| 334 | period_type) |
|
| 335 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 336 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 337 | timedelta(minutes=timezone_offset) |
|
| 338 | if period_type == 'hourly': |
|
| 339 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 340 | elif period_type == 'daily': |
|
| 341 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 342 | elif period_type == 'weekly': |
|
| 343 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 344 | elif period_type == 'monthly': |
|
| 345 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 346 | elif period_type == 'yearly': |
|
| 347 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 348 | ||
| 349 | actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 350 | else row_combined_equipment_periodically[1] |
|
| 351 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
| 352 | base[energy_category_id]['values'].append(actual_value) |
|
| 353 | base[energy_category_id]['subtotal'] += actual_value |
|
| 354 | ||
| 355 | ################################################################################################################ |
|
| 356 | # Step 7: query reporting period energy carbon dioxide emissions |
|
| 357 | ################################################################################################################ |
|
| 358 | reporting = dict() |
|
| 359 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 360 | for energy_category_id in energy_category_set: |
|
| 361 | reporting[energy_category_id] = dict() |
|
| 362 | reporting[energy_category_id]['timestamps'] = list() |
|
| 363 | reporting[energy_category_id]['values'] = list() |
|
| 364 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 365 | reporting[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 366 | reporting[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 367 | reporting[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 368 | reporting[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 369 | reporting[energy_category_id]['deep'] = Decimal(0.0) |
|
| 370 | ||
| 371 | cursor_carbon.execute(" SELECT start_datetime_utc, actual_value " |
|
| 372 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 373 | " WHERE combined_equipment_id = %s " |
|
| 374 | " AND energy_category_id = %s " |
|
| 375 | " AND start_datetime_utc >= %s " |
|
| 376 | " AND start_datetime_utc < %s " |
|
| 377 | " ORDER BY start_datetime_utc ", |
|
| 378 | (combined_equipment['id'], |
|
| 379 | energy_category_id, |
|
| 380 | reporting_start_datetime_utc, |
|
| 381 | reporting_end_datetime_utc)) |
|
| 382 | rows_combined_equipment_hourly = cursor_carbon.fetchall() |
|
| 383 | ||
| 384 | rows_combined_equipment_periodically = \ |
|
| 385 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 386 | reporting_start_datetime_utc, |
|
| 387 | reporting_end_datetime_utc, |
|
| 388 | period_type) |
|
| 389 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 390 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 391 | timedelta(minutes=timezone_offset) |
|
| 392 | if period_type == 'hourly': |
|
| 393 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 394 | elif period_type == 'daily': |
|
| 395 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 396 | elif period_type == 'weekly': |
|
| 397 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 398 | elif period_type == 'monthly': |
|
| 399 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 400 | elif period_type == 'yearly': |
|
| 401 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 402 | ||
| 403 | actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 404 | else row_combined_equipment_periodically[1] |
|
| 405 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
| 406 | reporting[energy_category_id]['values'].append(actual_value) |
|
| 407 | reporting[energy_category_id]['subtotal'] += actual_value |
|
| 408 | ||
| 409 | energy_category_tariff_dict = \ |
|
| 410 | utilities.get_energy_category_peak_types(combined_equipment['cost_center_id'], |
|
| 411 | energy_category_id, |
|
| 412 | reporting_start_datetime_utc, |
|
| 413 | reporting_end_datetime_utc) |
|
| 414 | for row in rows_combined_equipment_hourly: |
|
| 415 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 416 | if peak_type == 'toppeak': |
|
| 417 | reporting[energy_category_id]['toppeak'] += row[1] |
|
| 418 | elif peak_type == 'onpeak': |
|
| 419 | reporting[energy_category_id]['onpeak'] += row[1] |
|
| 420 | elif peak_type == 'midpeak': |
|
| 421 | reporting[energy_category_id]['midpeak'] += row[1] |
|
| 422 | elif peak_type == 'offpeak': |
|
| 423 | reporting[energy_category_id]['offpeak'] += row[1] |
|
| 424 | elif peak_type == 'deep': |
|
| 425 | reporting[energy_category_id]['deep'] += row[1] |
|
| 426 | ||
| 427 | ################################################################################################################ |
|
| 428 | # Step 8: query tariff data |
|
| 429 | ################################################################################################################ |
|
| 430 | parameters_data = dict() |
|
| 431 | parameters_data['names'] = list() |
|
| 432 | parameters_data['timestamps'] = list() |
|
| 433 | parameters_data['values'] = list() |
|
| 434 | if not is_quick_mode: |
|
| 435 | if config.is_tariff_appended and energy_category_set is not None and len(energy_category_set) > 0: |
|
| 436 | for energy_category_id in energy_category_set: |
|
| 437 | energy_category_tariff_dict = \ |
|
| 438 | utilities.get_energy_category_tariffs(combined_equipment['cost_center_id'], |
|
| 439 | energy_category_id, |
|
| 440 | reporting_start_datetime_utc, |
|
| 441 | reporting_end_datetime_utc) |
|
| 442 | tariff_timestamp_list = list() |
|
| 443 | tariff_value_list = list() |
|
| 444 | for k, v in energy_category_tariff_dict.items(): |
|
| 445 | # convert k from utc to local |
|
| 446 | k = k + timedelta(minutes=timezone_offset) |
|
| 447 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
| 448 | tariff_value_list.append(v) |
|
| 449 | ||
| 450 | parameters_data['names'].append( |
|
| 451 | _('Tariff') + '-' + energy_category_dict[energy_category_id]['name']) |
|
| 452 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
| 453 | parameters_data['values'].append(tariff_value_list) |
|
| 454 | ||
| 455 | ################################################################################################################ |
|
| 456 | # Step 9: query associated points data |
|
| 457 | ################################################################################################################ |
|
| 458 | if not is_quick_mode: |
|
| 459 | for point in point_list: |
|
| 460 | point_values = [] |
|
| 461 | point_timestamps = [] |
|
| 462 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 463 | query = (" SELECT utc_date_time, actual_value " |
|
| 464 | " FROM tbl_energy_value " |
|
| 465 | " WHERE point_id = %s " |
|
| 466 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 467 | " ORDER BY utc_date_time ") |
|
| 468 | cursor_historical.execute(query, (point['id'], |
|
| 469 | reporting_start_datetime_utc, |
|
| 470 | reporting_end_datetime_utc)) |
|
| 471 | rows = cursor_historical.fetchall() |
|
| 472 | ||
| 473 | if rows is not None and len(rows) > 0: |
|
| 474 | for row in rows: |
|
| 475 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 476 | timedelta(minutes=timezone_offset) |
|
| 477 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 478 | point_timestamps.append(current_datetime) |
|
| 479 | point_values.append(row[1]) |
|
| 480 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 481 | query = (" SELECT utc_date_time, actual_value " |
|
| 482 | " FROM tbl_analog_value " |
|
| 483 | " WHERE point_id = %s " |
|
| 484 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 485 | " ORDER BY utc_date_time ") |
|
| 486 | cursor_historical.execute(query, (point['id'], |
|
| 487 | reporting_start_datetime_utc, |
|
| 488 | reporting_end_datetime_utc)) |
|
| 489 | rows = cursor_historical.fetchall() |
|
| 490 | ||
| 491 | if rows is not None and len(rows) > 0: |
|
| 492 | for row in rows: |
|
| 493 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 494 | timedelta(minutes=timezone_offset) |
|
| 495 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 496 | point_timestamps.append(current_datetime) |
|
| 497 | point_values.append(row[1]) |
|
| 498 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 499 | query = (" SELECT utc_date_time, actual_value " |
|
| 500 | " FROM tbl_digital_value " |
|
| 501 | " WHERE point_id = %s " |
|
| 502 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 503 | " ORDER BY utc_date_time ") |
|
| 504 | cursor_historical.execute(query, (point['id'], |
|
| 505 | reporting_start_datetime_utc, |
|
| 506 | reporting_end_datetime_utc)) |
|
| 507 | rows = cursor_historical.fetchall() |
|
| 508 | ||
| 509 | if rows is not None and len(rows) > 0: |
|
| 510 | for row in rows: |
|
| 511 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 512 | timedelta(minutes=timezone_offset) |
|
| 513 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 514 | point_timestamps.append(current_datetime) |
|
| 515 | point_values.append(row[1]) |
|
| 516 | ||
| 517 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 518 | parameters_data['timestamps'].append(point_timestamps) |
|
| 519 | parameters_data['values'].append(point_values) |
|
| 520 | ||
| 521 | ################################################################################################################ |
|
| 522 | # Step 10: query associated equipments energy carbon dioxide emissions |
|
| 523 | ################################################################################################################ |
|
| 524 | associated_equipment_data = dict() |
|
| 525 | ||
| 526 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 527 | for energy_category_id in energy_category_set: |
|
| 528 | associated_equipment_data[energy_category_id] = dict() |
|
| 529 | associated_equipment_data[energy_category_id]['associated_equipment_names'] = list() |
|
| 530 | associated_equipment_data[energy_category_id]['subtotals'] = list() |
|
| 531 | for associated_equipment in associated_equipment_list: |
|
| 532 | associated_equipment_data[energy_category_id]['associated_equipment_names'].append( |
|
| 533 | associated_equipment['name']) |
|
| 534 | ||
| 535 | cursor_carbon.execute(" SELECT SUM(actual_value) " |
|
| 536 | " FROM tbl_equipment_input_category_hourly " |
|
| 537 | " WHERE equipment_id = %s " |
|
| 538 | " AND energy_category_id = %s " |
|
| 539 | " AND start_datetime_utc >= %s " |
|
| 540 | " AND start_datetime_utc < %s ", |
|
| 541 | (associated_equipment['id'], |
|
| 542 | energy_category_id, |
|
| 543 | reporting_start_datetime_utc, |
|
| 544 | reporting_end_datetime_utc)) |
|
| 545 | row_subtotal = cursor_carbon.fetchone() |
|
| 546 | ||
| 547 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
|
| 548 | associated_equipment_data[energy_category_id]['subtotals'].append(subtotal) |
|
| 549 | ||
| 550 | ################################################################################################################ |
|
| 551 | # Step 11: construct the report |
|
| 552 | ################################################################################################################ |
|
| 553 | if cursor_system: |
|
| 554 | cursor_system.close() |
|
| 555 | if cnx_system: |
|
| 556 | cnx_system.close() |
|
| 557 | ||
| 558 | if cursor_carbon: |
|
| 559 | cursor_carbon.close() |
|
| 560 | if cnx_carbon: |
|
| 561 | cnx_carbon.close() |
|
| 562 | ||
| 563 | if cursor_historical: |
|
| 564 | cursor_historical.close() |
|
| 565 | if cnx_historical: |
|
| 566 | cnx_historical.close() |
|
| 567 | ||
| 568 | result = dict() |
|
| 569 | ||
| 570 | result['combined_equipment'] = dict() |
|
| 571 | result['combined_equipment']['name'] = combined_equipment['name'] |
|
| 572 | ||
| 573 | result['base_period'] = dict() |
|
| 574 | result['base_period']['names'] = list() |
|
| 575 | result['base_period']['units'] = list() |
|
| 576 | result['base_period']['timestamps'] = list() |
|
| 577 | result['base_period']['values'] = list() |
|
| 578 | result['base_period']['subtotals'] = list() |
|
| 579 | result['base_period']['total'] = Decimal(0.0) |
|
| 580 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 581 | for energy_category_id in energy_category_set: |
|
| 582 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 583 | result['base_period']['units'].append('KG') |
|
| 584 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
| 585 | result['base_period']['values'].append(base[energy_category_id]['values']) |
|
| 586 | result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
|
| 587 | result['base_period']['total'] += base[energy_category_id]['subtotal'] |
|
| 588 | ||
| 589 | result['reporting_period'] = dict() |
|
| 590 | result['reporting_period']['names'] = list() |
|
| 591 | result['reporting_period']['energy_category_ids'] = list() |
|
| 592 | result['reporting_period']['units'] = list() |
|
| 593 | result['reporting_period']['timestamps'] = list() |
|
| 594 | result['reporting_period']['values'] = list() |
|
| 595 | result['reporting_period']['rates'] = list() |
|
| 596 | result['reporting_period']['subtotals'] = list() |
|
| 597 | result['reporting_period']['toppeaks'] = list() |
|
| 598 | result['reporting_period']['onpeaks'] = list() |
|
| 599 | result['reporting_period']['midpeaks'] = list() |
|
| 600 | result['reporting_period']['offpeaks'] = list() |
|
| 601 | result['reporting_period']['deeps'] = list() |
|
| 602 | result['reporting_period']['increment_rates'] = list() |
|
| 603 | result['reporting_period']['total'] = Decimal(0.0) |
|
| 604 | result['reporting_period']['total_increment_rate'] = Decimal(0.0) |
|
| 605 | result['reporting_period']['total_unit'] = 'KG' |
|
| 606 | ||
| 607 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 608 | for energy_category_id in energy_category_set: |
|
| 609 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 610 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 611 | result['reporting_period']['units'].append('KG') |
|
| 612 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 613 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
| 614 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
| 615 | result['reporting_period']['toppeaks'].append(reporting[energy_category_id]['toppeak']) |
|
| 616 | result['reporting_period']['onpeaks'].append(reporting[energy_category_id]['onpeak']) |
|
| 617 | result['reporting_period']['midpeaks'].append(reporting[energy_category_id]['midpeak']) |
|
| 618 | result['reporting_period']['offpeaks'].append(reporting[energy_category_id]['offpeak']) |
|
| 619 | result['reporting_period']['deeps'].append(reporting[energy_category_id]['deep']) |
|
| 620 | result['reporting_period']['increment_rates'].append( |
|
| 621 | (reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
|
| 622 | base[energy_category_id]['subtotal'] |
|
| 623 | if base[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 624 | result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
|
| 625 | ||
| 626 | rate = list() |
|
| 627 | for index, value in enumerate(reporting[energy_category_id]['values']): |
|
| 628 | if index < len(base[energy_category_id]['values']) \ |
|
| 629 | and base[energy_category_id]['values'][index] != 0 and value != 0: |
|
| 630 | rate.append((value - base[energy_category_id]['values'][index]) |
|
| 631 | / base[energy_category_id]['values'][index]) |
|
| 632 | else: |
|
| 633 | rate.append(None) |
|
| 634 | result['reporting_period']['rates'].append(rate) |
|
| 635 | ||
| 636 | result['reporting_period']['total_increment_rate'] = \ |
|
| 637 | (result['reporting_period']['total'] - result['base_period']['total']) / result['base_period']['total'] \ |
|
| 638 | if result['base_period']['total'] > Decimal(0.0) else None |
|
| 639 | ||
| 640 | result['parameters'] = { |
|
| 641 | "names": parameters_data['names'], |
|
| 642 | "timestamps": parameters_data['timestamps'], |
|
| 643 | "values": parameters_data['values'] |
|
| 644 | } |
|
| 645 | ||
| 646 | result['associated_equipment'] = dict() |
|
| 647 | result['associated_equipment']['energy_category_names'] = list() |
|
| 648 | result['associated_equipment']['units'] = list() |
|
| 649 | result['associated_equipment']['associated_equipment_names_array'] = list() |
|
| 650 | result['associated_equipment']['subtotals_array'] = list() |
|
| 651 | result['associated_equipment']['total_unit'] = 'KG' |
|
| 652 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 653 | for energy_category_id in energy_category_set: |
|
| 654 | result['associated_equipment']['energy_category_names'].append( |
|
| 655 | energy_category_dict[energy_category_id]['name']) |
|
| 656 | result['associated_equipment']['units'].append('KG') |
|
| 657 | result['associated_equipment']['associated_equipment_names_array'].append( |
|
| 658 | associated_equipment_data[energy_category_id]['associated_equipment_names']) |
|
| 659 | result['associated_equipment']['subtotals_array'].append( |
|
| 660 | associated_equipment_data[energy_category_id]['subtotals']) |
|
| 661 | ||
| 662 | # export result to Excel file and then encode the file to base64 string |
|
| 663 | result['excel_bytes_base64'] = None |
|
| 664 | if not is_quick_mode: |
|
| 665 | result['excel_bytes_base64'] = \ |
|
| 666 | excelexporters.combinedequipmentcarbon.export(result, |
|
| 667 | combined_equipment['name'], |
|
| 668 | base_period_start_datetime_local, |
|
| 669 | base_period_end_datetime_local, |
|
| 670 | reporting_period_start_datetime_local, |
|
| 671 | reporting_period_end_datetime_local, |
|
| 672 | period_type, |
|
| 673 | language) |
|
| 674 | resp.text = json.dumps(result) |
|
| 675 | ||
| @@ 13-672 (lines=660) @@ | ||
| 10 | from core.useractivity import access_control, api_key_control |
|
| 11 | ||
| 12 | ||
| 13 | class Reporting: |
|
| 14 | def __init__(self): |
|
| 15 | """"Initializes Reporting""" |
|
| 16 | pass |
|
| 17 | ||
| 18 | @staticmethod |
|
| 19 | def on_options(req, resp): |
|
| 20 | _ = req |
|
| 21 | resp.status = falcon.HTTP_200 |
|
| 22 | ||
| 23 | #################################################################################################################### |
|
| 24 | # PROCEDURES |
|
| 25 | # Step 1: valid parameters |
|
| 26 | # Step 2: query the combined equipment |
|
| 27 | # Step 3: query energy items |
|
| 28 | # Step 4: query associated points |
|
| 29 | # Step 5: query associated equipments |
|
| 30 | # Step 6: query base period energy cost |
|
| 31 | # Step 7: query reporting period energy cost |
|
| 32 | # Step 8: query tariff data |
|
| 33 | # Step 9: query associated points data |
|
| 34 | # Step 10: query associated equipments energy cost |
|
| 35 | # Step 11: construct the report |
|
| 36 | #################################################################################################################### |
|
| 37 | @staticmethod |
|
| 38 | def on_get(req, resp): |
|
| 39 | if 'API-KEY' not in req.headers or \ |
|
| 40 | not isinstance(req.headers['API-KEY'], str) or \ |
|
| 41 | len(str.strip(req.headers['API-KEY'])) == 0: |
|
| 42 | access_control(req) |
|
| 43 | else: |
|
| 44 | api_key_control(req) |
|
| 45 | print(req.params) |
|
| 46 | combined_equipment_id = req.params.get('combinedequipmentid') |
|
| 47 | combined_equipment_uuid = req.params.get('combinedequipmentuuid') |
|
| 48 | period_type = req.params.get('periodtype') |
|
| 49 | base_period_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 50 | base_period_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 51 | reporting_period_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 52 | reporting_period_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 53 | language = req.params.get('language') |
|
| 54 | quick_mode = req.params.get('quickmode') |
|
| 55 | ||
| 56 | ################################################################################################################ |
|
| 57 | # Step 1: valid parameters |
|
| 58 | ################################################################################################################ |
|
| 59 | if combined_equipment_id is None and combined_equipment_uuid is None: |
|
| 60 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 61 | title='API.BAD_REQUEST', |
|
| 62 | description='API.INVALID_COMBINED_EQUIPMENT_ID') |
|
| 63 | ||
| 64 | if combined_equipment_id is not None: |
|
| 65 | combined_equipment_id = str.strip(combined_equipment_id) |
|
| 66 | if not combined_equipment_id.isdigit() or int(combined_equipment_id) <= 0: |
|
| 67 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 68 | title='API.BAD_REQUEST', |
|
| 69 | description='API.INVALID_COMBINED_EQUIPMENT_ID') |
|
| 70 | ||
| 71 | if combined_equipment_uuid is not None: |
|
| 72 | 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) |
|
| 73 | match = regex.match(str.strip(combined_equipment_uuid)) |
|
| 74 | if not bool(match): |
|
| 75 | raise falcon.HTTPError(status=falcon.HTTP_400, |
|
| 76 | title='API.BAD_REQUEST', |
|
| 77 | description='API.INVALID_COMBINED_EQUIPMENT_UUID') |
|
| 78 | ||
| 79 | if period_type is None: |
|
| 80 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 81 | description='API.INVALID_PERIOD_TYPE') |
|
| 82 | else: |
|
| 83 | period_type = str.strip(period_type) |
|
| 84 | if period_type not in ['hourly', 'daily', 'weekly', 'monthly', 'yearly']: |
|
| 85 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 86 | description='API.INVALID_PERIOD_TYPE') |
|
| 87 | ||
| 88 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 89 | if config.utc_offset[0] == '-': |
|
| 90 | timezone_offset = -timezone_offset |
|
| 91 | ||
| 92 | base_start_datetime_utc = None |
|
| 93 | if base_period_start_datetime_local is not None and len(str.strip(base_period_start_datetime_local)) > 0: |
|
| 94 | base_period_start_datetime_local = str.strip(base_period_start_datetime_local) |
|
| 95 | try: |
|
| 96 | base_start_datetime_utc = datetime.strptime(base_period_start_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 97 | except ValueError: |
|
| 98 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 99 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 100 | base_start_datetime_utc = \ |
|
| 101 | base_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 102 | # nomalize the start datetime |
|
| 103 | if config.minutes_to_count == 30 and base_start_datetime_utc.minute >= 30: |
|
| 104 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 105 | else: |
|
| 106 | base_start_datetime_utc = base_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 107 | ||
| 108 | base_end_datetime_utc = None |
|
| 109 | if base_period_end_datetime_local is not None and len(str.strip(base_period_end_datetime_local)) > 0: |
|
| 110 | base_period_end_datetime_local = str.strip(base_period_end_datetime_local) |
|
| 111 | try: |
|
| 112 | base_end_datetime_utc = datetime.strptime(base_period_end_datetime_local, '%Y-%m-%dT%H:%M:%S') |
|
| 113 | except ValueError: |
|
| 114 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 115 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 116 | base_end_datetime_utc = \ |
|
| 117 | base_end_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 118 | ||
| 119 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 120 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 121 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 122 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 123 | ||
| 124 | if reporting_period_start_datetime_local is None: |
|
| 125 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 126 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 127 | else: |
|
| 128 | reporting_period_start_datetime_local = str.strip(reporting_period_start_datetime_local) |
|
| 129 | try: |
|
| 130 | reporting_start_datetime_utc = datetime.strptime(reporting_period_start_datetime_local, |
|
| 131 | '%Y-%m-%dT%H:%M:%S') |
|
| 132 | except ValueError: |
|
| 133 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 134 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 135 | reporting_start_datetime_utc = \ |
|
| 136 | reporting_start_datetime_utc.replace(tzinfo=timezone.utc) - timedelta(minutes=timezone_offset) |
|
| 137 | # nomalize the start datetime |
|
| 138 | if config.minutes_to_count == 30 and reporting_start_datetime_utc.minute >= 30: |
|
| 139 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=30, second=0, microsecond=0) |
|
| 140 | else: |
|
| 141 | reporting_start_datetime_utc = reporting_start_datetime_utc.replace(minute=0, second=0, microsecond=0) |
|
| 142 | ||
| 143 | if reporting_period_end_datetime_local is None: |
|
| 144 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 145 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 146 | else: |
|
| 147 | reporting_period_end_datetime_local = str.strip(reporting_period_end_datetime_local) |
|
| 148 | try: |
|
| 149 | reporting_end_datetime_utc = datetime.strptime(reporting_period_end_datetime_local, |
|
| 150 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 151 | timedelta(minutes=timezone_offset) |
|
| 152 | except ValueError: |
|
| 153 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 154 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 155 | ||
| 156 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 157 | raise falcon.HTTPError(status=falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 158 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 159 | ||
| 160 | # if turn quick mode on, do not return parameters data and excel file |
|
| 161 | is_quick_mode = False |
|
| 162 | if quick_mode is not None and \ |
|
| 163 | len(str.strip(quick_mode)) > 0 and \ |
|
| 164 | str.lower(str.strip(quick_mode)) in ('true', 't', 'on', 'yes', 'y'): |
|
| 165 | is_quick_mode = True |
|
| 166 | ||
| 167 | trans = utilities.get_translation(language) |
|
| 168 | trans.install() |
|
| 169 | _ = trans.gettext |
|
| 170 | ||
| 171 | ################################################################################################################ |
|
| 172 | # Step 2: query the combined equipment |
|
| 173 | ################################################################################################################ |
|
| 174 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 175 | cursor_system = cnx_system.cursor() |
|
| 176 | ||
| 177 | cnx_billing = mysql.connector.connect(**config.myems_billing_db) |
|
| 178 | cursor_billing = cnx_billing.cursor() |
|
| 179 | ||
| 180 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 181 | cursor_historical = cnx_historical.cursor() |
|
| 182 | ||
| 183 | if combined_equipment_id is not None: |
|
| 184 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 185 | " FROM tbl_combined_equipments " |
|
| 186 | " WHERE id = %s ", (combined_equipment_id,)) |
|
| 187 | row_combined_equipment = cursor_system.fetchone() |
|
| 188 | elif combined_equipment_uuid is not None: |
|
| 189 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 190 | " FROM tbl_combined_equipments " |
|
| 191 | " WHERE uuid = %s ", (combined_equipment_uuid,)) |
|
| 192 | row_combined_equipment = cursor_system.fetchone() |
|
| 193 | ||
| 194 | if row_combined_equipment is None: |
|
| 195 | if cursor_system: |
|
| 196 | cursor_system.close() |
|
| 197 | if cnx_system: |
|
| 198 | cnx_system.close() |
|
| 199 | ||
| 200 | if cursor_billing: |
|
| 201 | cursor_billing.close() |
|
| 202 | if cnx_billing: |
|
| 203 | cnx_billing.close() |
|
| 204 | ||
| 205 | if cursor_historical: |
|
| 206 | cursor_historical.close() |
|
| 207 | if cnx_historical: |
|
| 208 | cnx_historical.close() |
|
| 209 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 210 | title='API.NOT_FOUND', |
|
| 211 | description='API.COMBINED_EQUIPMENT_NOT_FOUND') |
|
| 212 | ||
| 213 | combined_equipment = dict() |
|
| 214 | combined_equipment['id'] = row_combined_equipment[0] |
|
| 215 | combined_equipment['name'] = row_combined_equipment[1] |
|
| 216 | combined_equipment['cost_center_id'] = row_combined_equipment[2] |
|
| 217 | ||
| 218 | ################################################################################################################ |
|
| 219 | # Step 3: query energy categories |
|
| 220 | ################################################################################################################ |
|
| 221 | energy_category_set = set() |
|
| 222 | # query energy categories in base period |
|
| 223 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 224 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 225 | " WHERE combined_equipment_id = %s " |
|
| 226 | " AND start_datetime_utc >= %s " |
|
| 227 | " AND start_datetime_utc < %s ", |
|
| 228 | (combined_equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 229 | rows_energy_categories = cursor_billing.fetchall() |
|
| 230 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 231 | for row_energy_category in rows_energy_categories: |
|
| 232 | energy_category_set.add(row_energy_category[0]) |
|
| 233 | ||
| 234 | # query energy categories in reporting period |
|
| 235 | cursor_billing.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 236 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 237 | " WHERE combined_equipment_id = %s " |
|
| 238 | " AND start_datetime_utc >= %s " |
|
| 239 | " AND start_datetime_utc < %s ", |
|
| 240 | (combined_equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 241 | rows_energy_categories = cursor_billing.fetchall() |
|
| 242 | if rows_energy_categories is not None and len(rows_energy_categories) > 0: |
|
| 243 | for row_energy_category in rows_energy_categories: |
|
| 244 | energy_category_set.add(row_energy_category[0]) |
|
| 245 | ||
| 246 | # query all energy categories in base period and reporting period |
|
| 247 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 248 | " FROM tbl_energy_categories " |
|
| 249 | " ORDER BY id ", ) |
|
| 250 | rows_energy_categories = cursor_system.fetchall() |
|
| 251 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 252 | if cursor_system: |
|
| 253 | cursor_system.close() |
|
| 254 | if cnx_system: |
|
| 255 | cnx_system.close() |
|
| 256 | ||
| 257 | if cursor_billing: |
|
| 258 | cursor_billing.close() |
|
| 259 | if cnx_billing: |
|
| 260 | cnx_billing.close() |
|
| 261 | ||
| 262 | if cursor_historical: |
|
| 263 | cursor_historical.close() |
|
| 264 | if cnx_historical: |
|
| 265 | cnx_historical.close() |
|
| 266 | raise falcon.HTTPError(status=falcon.HTTP_404, |
|
| 267 | title='API.NOT_FOUND', |
|
| 268 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 269 | energy_category_dict = dict() |
|
| 270 | for row_energy_category in rows_energy_categories: |
|
| 271 | if row_energy_category[0] in energy_category_set: |
|
| 272 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 273 | "unit_of_measure": row_energy_category[2], |
|
| 274 | "kgce": row_energy_category[3], |
|
| 275 | "kgco2e": row_energy_category[4]} |
|
| 276 | ||
| 277 | ################################################################################################################ |
|
| 278 | # Step 4: query associated points |
|
| 279 | ################################################################################################################ |
|
| 280 | point_list = list() |
|
| 281 | cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type " |
|
| 282 | " FROM tbl_combined_equipments e, tbl_combined_equipments_parameters ep, tbl_points p " |
|
| 283 | " WHERE e.id = %s AND e.id = ep.combined_equipment_id AND ep.parameter_type = 'point' " |
|
| 284 | " AND ep.point_id = p.id " |
|
| 285 | " ORDER BY p.id ", (combined_equipment['id'],)) |
|
| 286 | rows_points = cursor_system.fetchall() |
|
| 287 | if rows_points is not None and len(rows_points) > 0: |
|
| 288 | for row in rows_points: |
|
| 289 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
| 290 | ||
| 291 | ################################################################################################################ |
|
| 292 | # Step 5: query associated equipments |
|
| 293 | ################################################################################################################ |
|
| 294 | associated_equipment_list = list() |
|
| 295 | cursor_system.execute(" SELECT e.id, e.name " |
|
| 296 | " FROM tbl_equipments e,tbl_combined_equipments_equipments ee" |
|
| 297 | " WHERE ee.combined_equipment_id = %s AND e.id = ee.equipment_id" |
|
| 298 | " ORDER BY id ", (combined_equipment['id'],)) |
|
| 299 | rows_associated_equipments = cursor_system.fetchall() |
|
| 300 | if rows_associated_equipments is not None and len(rows_associated_equipments) > 0: |
|
| 301 | for row in rows_associated_equipments: |
|
| 302 | associated_equipment_list.append({"id": row[0], "name": row[1]}) |
|
| 303 | ||
| 304 | ################################################################################################################ |
|
| 305 | # Step 6: query base period energy cost |
|
| 306 | ################################################################################################################ |
|
| 307 | base = dict() |
|
| 308 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 309 | for energy_category_id in energy_category_set: |
|
| 310 | base[energy_category_id] = dict() |
|
| 311 | base[energy_category_id]['timestamps'] = list() |
|
| 312 | base[energy_category_id]['values'] = list() |
|
| 313 | base[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 314 | ||
| 315 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 316 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 317 | " WHERE combined_equipment_id = %s " |
|
| 318 | " AND energy_category_id = %s " |
|
| 319 | " AND start_datetime_utc >= %s " |
|
| 320 | " AND start_datetime_utc < %s " |
|
| 321 | " ORDER BY start_datetime_utc ", |
|
| 322 | (combined_equipment['id'], |
|
| 323 | energy_category_id, |
|
| 324 | base_start_datetime_utc, |
|
| 325 | base_end_datetime_utc)) |
|
| 326 | rows_combined_equipment_hourly = cursor_billing.fetchall() |
|
| 327 | ||
| 328 | rows_combined_equipment_periodically = \ |
|
| 329 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 330 | base_start_datetime_utc, |
|
| 331 | base_end_datetime_utc, |
|
| 332 | period_type) |
|
| 333 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 334 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 335 | timedelta(minutes=timezone_offset) |
|
| 336 | if period_type == 'hourly': |
|
| 337 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 338 | elif period_type == 'daily': |
|
| 339 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 340 | elif period_type == 'weekly': |
|
| 341 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 342 | elif period_type == 'monthly': |
|
| 343 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 344 | elif period_type == 'yearly': |
|
| 345 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 346 | ||
| 347 | actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 348 | else row_combined_equipment_periodically[1] |
|
| 349 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
| 350 | base[energy_category_id]['values'].append(actual_value) |
|
| 351 | base[energy_category_id]['subtotal'] += actual_value |
|
| 352 | ||
| 353 | ################################################################################################################ |
|
| 354 | # Step 7: query reporting period energy cost |
|
| 355 | ################################################################################################################ |
|
| 356 | reporting = dict() |
|
| 357 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 358 | for energy_category_id in energy_category_set: |
|
| 359 | reporting[energy_category_id] = dict() |
|
| 360 | reporting[energy_category_id]['timestamps'] = list() |
|
| 361 | reporting[energy_category_id]['values'] = list() |
|
| 362 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
|
| 363 | reporting[energy_category_id]['toppeak'] = Decimal(0.0) |
|
| 364 | reporting[energy_category_id]['onpeak'] = Decimal(0.0) |
|
| 365 | reporting[energy_category_id]['midpeak'] = Decimal(0.0) |
|
| 366 | reporting[energy_category_id]['offpeak'] = Decimal(0.0) |
|
| 367 | reporting[energy_category_id]['deep'] = Decimal(0.0) |
|
| 368 | ||
| 369 | cursor_billing.execute(" SELECT start_datetime_utc, actual_value " |
|
| 370 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 371 | " WHERE combined_equipment_id = %s " |
|
| 372 | " AND energy_category_id = %s " |
|
| 373 | " AND start_datetime_utc >= %s " |
|
| 374 | " AND start_datetime_utc < %s " |
|
| 375 | " ORDER BY start_datetime_utc ", |
|
| 376 | (combined_equipment['id'], |
|
| 377 | energy_category_id, |
|
| 378 | reporting_start_datetime_utc, |
|
| 379 | reporting_end_datetime_utc)) |
|
| 380 | rows_combined_equipment_hourly = cursor_billing.fetchall() |
|
| 381 | ||
| 382 | rows_combined_equipment_periodically = \ |
|
| 383 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 384 | reporting_start_datetime_utc, |
|
| 385 | reporting_end_datetime_utc, |
|
| 386 | period_type) |
|
| 387 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 388 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 389 | timedelta(minutes=timezone_offset) |
|
| 390 | if period_type == 'hourly': |
|
| 391 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 392 | elif period_type == 'daily': |
|
| 393 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 394 | elif period_type == 'weekly': |
|
| 395 | current_datetime = current_datetime_local.isoformat()[0:10] |
|
| 396 | elif period_type == 'monthly': |
|
| 397 | current_datetime = current_datetime_local.isoformat()[0:7] |
|
| 398 | elif period_type == 'yearly': |
|
| 399 | current_datetime = current_datetime_local.isoformat()[0:4] |
|
| 400 | ||
| 401 | actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 402 | else row_combined_equipment_periodically[1] |
|
| 403 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
| 404 | reporting[energy_category_id]['values'].append(actual_value) |
|
| 405 | reporting[energy_category_id]['subtotal'] += actual_value |
|
| 406 | ||
| 407 | energy_category_tariff_dict = \ |
|
| 408 | utilities.get_energy_category_peak_types(combined_equipment['cost_center_id'], |
|
| 409 | energy_category_id, |
|
| 410 | reporting_start_datetime_utc, |
|
| 411 | reporting_end_datetime_utc) |
|
| 412 | for row in rows_combined_equipment_hourly: |
|
| 413 | peak_type = energy_category_tariff_dict.get(row[0], None) |
|
| 414 | if peak_type == 'toppeak': |
|
| 415 | reporting[energy_category_id]['toppeak'] += row[1] |
|
| 416 | elif peak_type == 'onpeak': |
|
| 417 | reporting[energy_category_id]['onpeak'] += row[1] |
|
| 418 | elif peak_type == 'midpeak': |
|
| 419 | reporting[energy_category_id]['midpeak'] += row[1] |
|
| 420 | elif peak_type == 'offpeak': |
|
| 421 | reporting[energy_category_id]['offpeak'] += row[1] |
|
| 422 | elif peak_type == 'deep': |
|
| 423 | reporting[energy_category_id]['deep'] += row[1] |
|
| 424 | ||
| 425 | ################################################################################################################ |
|
| 426 | # Step 8: query tariff data |
|
| 427 | ################################################################################################################ |
|
| 428 | parameters_data = dict() |
|
| 429 | parameters_data['names'] = list() |
|
| 430 | parameters_data['timestamps'] = list() |
|
| 431 | parameters_data['values'] = list() |
|
| 432 | if not is_quick_mode: |
|
| 433 | if config.is_tariff_appended and energy_category_set is not None and len(energy_category_set) > 0: |
|
| 434 | for energy_category_id in energy_category_set: |
|
| 435 | energy_category_tariff_dict = \ |
|
| 436 | utilities.get_energy_category_tariffs(combined_equipment['cost_center_id'], |
|
| 437 | energy_category_id, |
|
| 438 | reporting_start_datetime_utc, |
|
| 439 | reporting_end_datetime_utc) |
|
| 440 | tariff_timestamp_list = list() |
|
| 441 | tariff_value_list = list() |
|
| 442 | for k, v in energy_category_tariff_dict.items(): |
|
| 443 | # convert k from utc to local |
|
| 444 | k = k + timedelta(minutes=timezone_offset) |
|
| 445 | tariff_timestamp_list.append(k.isoformat()[0:19]) |
|
| 446 | tariff_value_list.append(v) |
|
| 447 | ||
| 448 | parameters_data['names'].append( |
|
| 449 | _('Tariff') + '-' + energy_category_dict[energy_category_id]['name']) |
|
| 450 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
| 451 | parameters_data['values'].append(tariff_value_list) |
|
| 452 | ||
| 453 | ################################################################################################################ |
|
| 454 | # Step 9: query associated points data |
|
| 455 | ################################################################################################################ |
|
| 456 | if not is_quick_mode: |
|
| 457 | for point in point_list: |
|
| 458 | point_values = [] |
|
| 459 | point_timestamps = [] |
|
| 460 | if point['object_type'] == 'ENERGY_VALUE': |
|
| 461 | query = (" SELECT utc_date_time, actual_value " |
|
| 462 | " FROM tbl_energy_value " |
|
| 463 | " WHERE point_id = %s " |
|
| 464 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 465 | " ORDER BY utc_date_time ") |
|
| 466 | cursor_historical.execute(query, (point['id'], |
|
| 467 | reporting_start_datetime_utc, |
|
| 468 | reporting_end_datetime_utc)) |
|
| 469 | rows = cursor_historical.fetchall() |
|
| 470 | ||
| 471 | if rows is not None and len(rows) > 0: |
|
| 472 | for row in rows: |
|
| 473 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 474 | timedelta(minutes=timezone_offset) |
|
| 475 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 476 | point_timestamps.append(current_datetime) |
|
| 477 | point_values.append(row[1]) |
|
| 478 | elif point['object_type'] == 'ANALOG_VALUE': |
|
| 479 | query = (" SELECT utc_date_time, actual_value " |
|
| 480 | " FROM tbl_analog_value " |
|
| 481 | " WHERE point_id = %s " |
|
| 482 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 483 | " ORDER BY utc_date_time ") |
|
| 484 | cursor_historical.execute(query, (point['id'], |
|
| 485 | reporting_start_datetime_utc, |
|
| 486 | reporting_end_datetime_utc)) |
|
| 487 | rows = cursor_historical.fetchall() |
|
| 488 | ||
| 489 | if rows is not None and len(rows) > 0: |
|
| 490 | for row in rows: |
|
| 491 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 492 | timedelta(minutes=timezone_offset) |
|
| 493 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 494 | point_timestamps.append(current_datetime) |
|
| 495 | point_values.append(row[1]) |
|
| 496 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 497 | query = (" SELECT utc_date_time, actual_value " |
|
| 498 | " FROM tbl_digital_value " |
|
| 499 | " WHERE point_id = %s " |
|
| 500 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 501 | " ORDER BY utc_date_time ") |
|
| 502 | cursor_historical.execute(query, (point['id'], |
|
| 503 | reporting_start_datetime_utc, |
|
| 504 | reporting_end_datetime_utc)) |
|
| 505 | rows = cursor_historical.fetchall() |
|
| 506 | ||
| 507 | if rows is not None and len(rows) > 0: |
|
| 508 | for row in rows: |
|
| 509 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 510 | timedelta(minutes=timezone_offset) |
|
| 511 | current_datetime = current_datetime_local.isoformat()[0:19] |
|
| 512 | point_timestamps.append(current_datetime) |
|
| 513 | point_values.append(row[1]) |
|
| 514 | ||
| 515 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 516 | parameters_data['timestamps'].append(point_timestamps) |
|
| 517 | parameters_data['values'].append(point_values) |
|
| 518 | ||
| 519 | ################################################################################################################ |
|
| 520 | # Step 10: query associated equipments energy cost |
|
| 521 | ################################################################################################################ |
|
| 522 | associated_equipment_data = dict() |
|
| 523 | ||
| 524 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 525 | for energy_category_id in energy_category_set: |
|
| 526 | associated_equipment_data[energy_category_id] = dict() |
|
| 527 | associated_equipment_data[energy_category_id]['associated_equipment_names'] = list() |
|
| 528 | associated_equipment_data[energy_category_id]['subtotals'] = list() |
|
| 529 | for associated_equipment in associated_equipment_list: |
|
| 530 | associated_equipment_data[energy_category_id]['associated_equipment_names'].append( |
|
| 531 | associated_equipment['name']) |
|
| 532 | ||
| 533 | cursor_billing.execute(" SELECT SUM(actual_value) " |
|
| 534 | " FROM tbl_equipment_input_category_hourly " |
|
| 535 | " WHERE equipment_id = %s " |
|
| 536 | " AND energy_category_id = %s " |
|
| 537 | " AND start_datetime_utc >= %s " |
|
| 538 | " AND start_datetime_utc < %s ", |
|
| 539 | (associated_equipment['id'], |
|
| 540 | energy_category_id, |
|
| 541 | reporting_start_datetime_utc, |
|
| 542 | reporting_end_datetime_utc)) |
|
| 543 | row_subtotal = cursor_billing.fetchone() |
|
| 544 | ||
| 545 | subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0] |
|
| 546 | associated_equipment_data[energy_category_id]['subtotals'].append(subtotal) |
|
| 547 | ||
| 548 | ################################################################################################################ |
|
| 549 | # Step 11: construct the report |
|
| 550 | ################################################################################################################ |
|
| 551 | if cursor_system: |
|
| 552 | cursor_system.close() |
|
| 553 | if cnx_system: |
|
| 554 | cnx_system.close() |
|
| 555 | ||
| 556 | if cursor_billing: |
|
| 557 | cursor_billing.close() |
|
| 558 | if cnx_billing: |
|
| 559 | cnx_billing.close() |
|
| 560 | ||
| 561 | if cursor_historical: |
|
| 562 | cursor_historical.close() |
|
| 563 | if cnx_historical: |
|
| 564 | cnx_historical.close() |
|
| 565 | ||
| 566 | result = dict() |
|
| 567 | ||
| 568 | result['combined_equipment'] = dict() |
|
| 569 | result['combined_equipment']['name'] = combined_equipment['name'] |
|
| 570 | ||
| 571 | result['base_period'] = dict() |
|
| 572 | result['base_period']['names'] = list() |
|
| 573 | result['base_period']['units'] = list() |
|
| 574 | result['base_period']['timestamps'] = list() |
|
| 575 | result['base_period']['values'] = list() |
|
| 576 | result['base_period']['subtotals'] = list() |
|
| 577 | result['base_period']['total'] = Decimal(0.0) |
|
| 578 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 579 | for energy_category_id in energy_category_set: |
|
| 580 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 581 | result['base_period']['units'].append(config.currency_unit) |
|
| 582 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
| 583 | result['base_period']['values'].append(base[energy_category_id]['values']) |
|
| 584 | result['base_period']['subtotals'].append(base[energy_category_id]['subtotal']) |
|
| 585 | result['base_period']['total'] += base[energy_category_id]['subtotal'] |
|
| 586 | ||
| 587 | result['reporting_period'] = dict() |
|
| 588 | result['reporting_period']['names'] = list() |
|
| 589 | result['reporting_period']['energy_category_ids'] = list() |
|
| 590 | result['reporting_period']['units'] = list() |
|
| 591 | result['reporting_period']['timestamps'] = list() |
|
| 592 | result['reporting_period']['values'] = list() |
|
| 593 | result['reporting_period']['rates'] = list() |
|
| 594 | result['reporting_period']['subtotals'] = list() |
|
| 595 | result['reporting_period']['toppeaks'] = list() |
|
| 596 | result['reporting_period']['onpeaks'] = list() |
|
| 597 | result['reporting_period']['midpeaks'] = list() |
|
| 598 | result['reporting_period']['offpeaks'] = list() |
|
| 599 | result['reporting_period']['deeps'] = list() |
|
| 600 | result['reporting_period']['increment_rates'] = list() |
|
| 601 | result['reporting_period']['total'] = Decimal(0.0) |
|
| 602 | result['reporting_period']['total_increment_rate'] = Decimal(0.0) |
|
| 603 | result['reporting_period']['total_unit'] = config.currency_unit |
|
| 604 | ||
| 605 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 606 | for energy_category_id in energy_category_set: |
|
| 607 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 608 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 609 | result['reporting_period']['units'].append(config.currency_unit) |
|
| 610 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 611 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
| 612 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
| 613 | result['reporting_period']['toppeaks'].append(reporting[energy_category_id]['toppeak']) |
|
| 614 | result['reporting_period']['onpeaks'].append(reporting[energy_category_id]['onpeak']) |
|
| 615 | result['reporting_period']['midpeaks'].append(reporting[energy_category_id]['midpeak']) |
|
| 616 | result['reporting_period']['offpeaks'].append(reporting[energy_category_id]['offpeak']) |
|
| 617 | result['reporting_period']['deeps'].append(reporting[energy_category_id]['deep']) |
|
| 618 | result['reporting_period']['increment_rates'].append( |
|
| 619 | (reporting[energy_category_id]['subtotal'] - base[energy_category_id]['subtotal']) / |
|
| 620 | base[energy_category_id]['subtotal'] |
|
| 621 | if base[energy_category_id]['subtotal'] > 0.0 else None) |
|
| 622 | result['reporting_period']['total'] += reporting[energy_category_id]['subtotal'] |
|
| 623 | ||
| 624 | rate = list() |
|
| 625 | for index, value in enumerate(reporting[energy_category_id]['values']): |
|
| 626 | if index < len(base[energy_category_id]['values']) \ |
|
| 627 | and base[energy_category_id]['values'][index] != 0 and value != 0: |
|
| 628 | rate.append((value - base[energy_category_id]['values'][index]) |
|
| 629 | / base[energy_category_id]['values'][index]) |
|
| 630 | else: |
|
| 631 | rate.append(None) |
|
| 632 | result['reporting_period']['rates'].append(rate) |
|
| 633 | ||
| 634 | result['reporting_period']['total_increment_rate'] = \ |
|
| 635 | (result['reporting_period']['total'] - result['base_period']['total']) / result['base_period']['total'] \ |
|
| 636 | if result['base_period']['total'] > Decimal(0.0) else None |
|
| 637 | ||
| 638 | result['parameters'] = { |
|
| 639 | "names": parameters_data['names'], |
|
| 640 | "timestamps": parameters_data['timestamps'], |
|
| 641 | "values": parameters_data['values'] |
|
| 642 | } |
|
| 643 | ||
| 644 | result['associated_equipment'] = dict() |
|
| 645 | result['associated_equipment']['energy_category_names'] = list() |
|
| 646 | result['associated_equipment']['units'] = list() |
|
| 647 | result['associated_equipment']['associated_equipment_names_array'] = list() |
|
| 648 | result['associated_equipment']['subtotals_array'] = list() |
|
| 649 | result['associated_equipment']['total_unit'] = config.currency_unit |
|
| 650 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 651 | for energy_category_id in energy_category_set: |
|
| 652 | result['associated_equipment']['energy_category_names'].append( |
|
| 653 | energy_category_dict[energy_category_id]['name']) |
|
| 654 | result['associated_equipment']['units'].append(config.currency_unit) |
|
| 655 | result['associated_equipment']['associated_equipment_names_array'].append( |
|
| 656 | associated_equipment_data[energy_category_id]['associated_equipment_names']) |
|
| 657 | result['associated_equipment']['subtotals_array'].append( |
|
| 658 | associated_equipment_data[energy_category_id]['subtotals']) |
|
| 659 | ||
| 660 | # export result to Excel file and then encode the file to base64 string |
|
| 661 | result['excel_bytes_base64'] = None |
|
| 662 | if not is_quick_mode: |
|
| 663 | result['excel_bytes_base64'] = \ |
|
| 664 | excelexporters.combinedequipmentcost.export(result, |
|
| 665 | combined_equipment['name'], |
|
| 666 | base_period_start_datetime_local, |
|
| 667 | base_period_end_datetime_local, |
|
| 668 | reporting_period_start_datetime_local, |
|
| 669 | reporting_period_end_datetime_local, |
|
| 670 | period_type, |
|
| 671 | language) |
|
| 672 | resp.text = json.dumps(result) |
|
| 673 | ||
