myems /
myems-api
| @@ 10-669 (lines=660) @@ | ||
| 7 | from decimal import Decimal |
|
| 8 | ||
| 9 | ||
| 10 | class Reporting: |
|
| 11 | @staticmethod |
|
| 12 | def __init__(): |
|
| 13 | pass |
|
| 14 | ||
| 15 | @staticmethod |
|
| 16 | def on_options(req, resp): |
|
| 17 | resp.status = falcon.HTTP_200 |
|
| 18 | ||
| 19 | #################################################################################################################### |
|
| 20 | # PROCEDURES |
|
| 21 | # Step 1: valid parameters |
|
| 22 | # Step 2: query the combined equipment |
|
| 23 | # Step 3: query energy categories |
|
| 24 | # Step 4: query associated points |
|
| 25 | # Step 5: query base period energy saving |
|
| 26 | # Step 6: query reporting period energy saving |
|
| 27 | # Step 7: query tariff data |
|
| 28 | # Step 8: query associated points data |
|
| 29 | # Step 10: construct the report |
|
| 30 | #################################################################################################################### |
|
| 31 | @staticmethod |
|
| 32 | def on_get(req, resp): |
|
| 33 | print(req.params) |
|
| 34 | combined_equipment_id = req.params.get('combinedequipmentid') |
|
| 35 | period_type = req.params.get('periodtype') |
|
| 36 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 37 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 38 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 39 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 40 | ||
| 41 | ################################################################################################################ |
|
| 42 | # Step 1: valid parameters |
|
| 43 | ################################################################################################################ |
|
| 44 | if combined_equipment_id is None: |
|
| 45 | raise falcon.HTTPError(falcon.HTTP_400, |
|
| 46 | title='API.BAD_REQUEST', |
|
| 47 | description='API.INVALID_COMBINED_EQUIPMENT_ID') |
|
| 48 | else: |
|
| 49 | combined_equipment_id = str.strip(combined_equipment_id) |
|
| 50 | if not combined_equipment_id.isdigit() or int(combined_equipment_id) <= 0: |
|
| 51 | raise falcon.HTTPError(falcon.HTTP_400, |
|
| 52 | title='API.BAD_REQUEST', |
|
| 53 | description='API.INVALID_COMBINED_EQUIPMENT_ID') |
|
| 54 | ||
| 55 | if period_type is None: |
|
| 56 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
| 57 | else: |
|
| 58 | period_type = str.strip(period_type) |
|
| 59 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
|
| 60 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
| 61 | ||
| 62 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 63 | if config.utc_offset[0] == '-': |
|
| 64 | timezone_offset = -timezone_offset |
|
| 65 | ||
| 66 | base_start_datetime_utc = None |
|
| 67 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
|
| 68 | base_start_datetime_local = str.strip(base_start_datetime_local) |
|
| 69 | try: |
|
| 70 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
|
| 71 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 72 | timedelta(minutes=timezone_offset) |
|
| 73 | except ValueError: |
|
| 74 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 75 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 76 | ||
| 77 | base_end_datetime_utc = None |
|
| 78 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
|
| 79 | base_end_datetime_local = str.strip(base_end_datetime_local) |
|
| 80 | try: |
|
| 81 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
|
| 82 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 83 | timedelta(minutes=timezone_offset) |
|
| 84 | except ValueError: |
|
| 85 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 86 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 87 | ||
| 88 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 89 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 90 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 91 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 92 | ||
| 93 | if reporting_start_datetime_local is None: |
|
| 94 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 95 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 96 | else: |
|
| 97 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
|
| 98 | try: |
|
| 99 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
|
| 100 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 101 | timedelta(minutes=timezone_offset) |
|
| 102 | except ValueError: |
|
| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 104 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 105 | ||
| 106 | if reporting_end_datetime_local is None: |
|
| 107 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 108 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 109 | else: |
|
| 110 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
|
| 111 | try: |
|
| 112 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
|
| 113 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 114 | timedelta(minutes=timezone_offset) |
|
| 115 | except ValueError: |
|
| 116 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 117 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 118 | ||
| 119 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 120 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 121 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 122 | ||
| 123 | ################################################################################################################ |
|
| 124 | # Step 2: query the combined equipment |
|
| 125 | ################################################################################################################ |
|
| 126 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 127 | cursor_system = cnx_system.cursor() |
|
| 128 | ||
| 129 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 130 | cursor_energy = cnx_energy.cursor() |
|
| 131 | ||
| 132 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
|
| 133 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
|
| 134 | ||
| 135 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 136 | cursor_historical = cnx_historical.cursor() |
|
| 137 | ||
| 138 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 139 | " FROM tbl_combined_equipments " |
|
| 140 | " WHERE id = %s ", (combined_equipment_id,)) |
|
| 141 | row_combined_equipment = cursor_system.fetchone() |
|
| 142 | if row_combined_equipment is None: |
|
| 143 | if cursor_system: |
|
| 144 | cursor_system.close() |
|
| 145 | if cnx_system: |
|
| 146 | cnx_system.disconnect() |
|
| 147 | ||
| 148 | if cursor_energy: |
|
| 149 | cursor_energy.close() |
|
| 150 | if cnx_energy: |
|
| 151 | cnx_energy.disconnect() |
|
| 152 | ||
| 153 | if cursor_energy_baseline: |
|
| 154 | cursor_energy_baseline.close() |
|
| 155 | if cnx_energy_baseline: |
|
| 156 | cnx_energy_baseline.disconnect() |
|
| 157 | ||
| 158 | if cnx_historical: |
|
| 159 | cnx_historical.close() |
|
| 160 | if cursor_historical: |
|
| 161 | cursor_historical.disconnect() |
|
| 162 | raise falcon.HTTPError(falcon.HTTP_404, |
|
| 163 | title='API.NOT_FOUND', |
|
| 164 | description='API.COMBINED_EQUIPMENT_NOT_FOUND') |
|
| 165 | ||
| 166 | combined_equipment = dict() |
|
| 167 | combined_equipment['id'] = row_combined_equipment[0] |
|
| 168 | combined_equipment['name'] = row_combined_equipment[1] |
|
| 169 | combined_equipment['cost_center_id'] = row_combined_equipment[2] |
|
| 170 | ||
| 171 | ################################################################################################################ |
|
| 172 | # Step 3: query energy categories |
|
| 173 | ################################################################################################################ |
|
| 174 | energy_category_set = set() |
|
| 175 | # query energy categories in base period |
|
| 176 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 177 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 178 | " WHERE combined_equipment_id = %s " |
|
| 179 | " AND start_datetime_utc >= %s " |
|
| 180 | " AND start_datetime_utc < %s ", |
|
| 181 | (combined_equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 182 | rows_energy_categories = cursor_energy.fetchall() |
|
| 183 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
|
| 184 | for row_energy_category in rows_energy_categories: |
|
| 185 | energy_category_set.add(row_energy_category[0]) |
|
| 186 | ||
| 187 | # query energy categories in reporting period |
|
| 188 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 189 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 190 | " WHERE combined_equipment_id = %s " |
|
| 191 | " AND start_datetime_utc >= %s " |
|
| 192 | " AND start_datetime_utc < %s ", |
|
| 193 | (combined_equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 194 | rows_energy_categories = cursor_energy.fetchall() |
|
| 195 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
|
| 196 | for row_energy_category in rows_energy_categories: |
|
| 197 | energy_category_set.add(row_energy_category[0]) |
|
| 198 | ||
| 199 | # query all energy categories in base period and reporting period |
|
| 200 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 201 | " FROM tbl_energy_categories " |
|
| 202 | " ORDER BY id ", ) |
|
| 203 | rows_energy_categories = cursor_system.fetchall() |
|
| 204 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 205 | if cursor_system: |
|
| 206 | cursor_system.close() |
|
| 207 | if cnx_system: |
|
| 208 | cnx_system.disconnect() |
|
| 209 | ||
| 210 | if cursor_energy: |
|
| 211 | cursor_energy.close() |
|
| 212 | if cnx_energy: |
|
| 213 | cnx_energy.disconnect() |
|
| 214 | ||
| 215 | if cursor_energy_baseline: |
|
| 216 | cursor_energy_baseline.close() |
|
| 217 | if cnx_energy_baseline: |
|
| 218 | cnx_energy_baseline.disconnect() |
|
| 219 | ||
| 220 | if cnx_historical: |
|
| 221 | cnx_historical.close() |
|
| 222 | if cursor_historical: |
|
| 223 | cursor_historical.disconnect() |
|
| 224 | raise falcon.HTTPError(falcon.HTTP_404, |
|
| 225 | title='API.NOT_FOUND', |
|
| 226 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 227 | energy_category_dict = dict() |
|
| 228 | for row_energy_category in rows_energy_categories: |
|
| 229 | if row_energy_category[0] in energy_category_set: |
|
| 230 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 231 | "unit_of_measure": row_energy_category[2], |
|
| 232 | "kgce": row_energy_category[3], |
|
| 233 | "kgco2e": row_energy_category[4]} |
|
| 234 | ||
| 235 | ################################################################################################################ |
|
| 236 | # Step 4: query associated points |
|
| 237 | ################################################################################################################ |
|
| 238 | point_list = list() |
|
| 239 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
|
| 240 | " FROM tbl_combined_equipments e, tbl_combined_equipments_parameters ep, tbl_points p " |
|
| 241 | " WHERE e.id = %s AND e.id = ep.combined_equipment_id AND ep.parameter_type = 'point' " |
|
| 242 | " AND ep.point_id = p.id " |
|
| 243 | " ORDER BY p.id ", (combined_equipment['id'],)) |
|
| 244 | rows_points = cursor_system.fetchall() |
|
| 245 | if rows_points is not None and len(rows_points) > 0: |
|
| 246 | for row in rows_points: |
|
| 247 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
| 248 | ||
| 249 | ################################################################################################################ |
|
| 250 | # Step 5: query base period energy saving |
|
| 251 | ################################################################################################################ |
|
| 252 | base = dict() |
|
| 253 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 254 | for energy_category_id in energy_category_set: |
|
| 255 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 256 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 257 | ||
| 258 | base[energy_category_id] = dict() |
|
| 259 | base[energy_category_id]['timestamps'] = list() |
|
| 260 | base[energy_category_id]['values_baseline'] = list() |
|
| 261 | base[energy_category_id]['values_actual'] = list() |
|
| 262 | base[energy_category_id]['values_saving'] = list() |
|
| 263 | base[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
|
| 264 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 265 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 266 | base[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
|
| 267 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 268 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 269 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
|
| 270 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 271 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 272 | # query base period's energy baseline |
|
| 273 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
| 274 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 275 | " WHERE combined_equipment_id = %s " |
|
| 276 | " AND energy_category_id = %s " |
|
| 277 | " AND start_datetime_utc >= %s " |
|
| 278 | " AND start_datetime_utc < %s " |
|
| 279 | " ORDER BY start_datetime_utc ", |
|
| 280 | (combined_equipment['id'], |
|
| 281 | energy_category_id, |
|
| 282 | base_start_datetime_utc, |
|
| 283 | base_end_datetime_utc)) |
|
| 284 | rows_combined_equipment_hourly = cursor_energy_baseline.fetchall() |
|
| 285 | ||
| 286 | rows_combined_equipment_periodically = \ |
|
| 287 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 288 | base_start_datetime_utc, |
|
| 289 | base_end_datetime_utc, |
|
| 290 | period_type) |
|
| 291 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 292 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 293 | timedelta(minutes=timezone_offset) |
|
| 294 | if period_type == 'hourly': |
|
| 295 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 296 | elif period_type == 'daily': |
|
| 297 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 298 | elif period_type == 'monthly': |
|
| 299 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 300 | elif period_type == 'yearly': |
|
| 301 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 302 | ||
| 303 | baseline_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 304 | else row_combined_equipment_periodically[1] |
|
| 305 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
| 306 | base[energy_category_id]['values_baseline'].append(baseline_value) |
|
| 307 | base[energy_category_id]['subtotal_baseline'] += baseline_value |
|
| 308 | base[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
|
| 309 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
|
| 310 | ||
| 311 | # query base period's energy actual |
|
| 312 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 313 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 314 | " WHERE combined_equipment_id = %s " |
|
| 315 | " AND energy_category_id = %s " |
|
| 316 | " AND start_datetime_utc >= %s " |
|
| 317 | " AND start_datetime_utc < %s " |
|
| 318 | " ORDER BY start_datetime_utc ", |
|
| 319 | (combined_equipment['id'], |
|
| 320 | energy_category_id, |
|
| 321 | base_start_datetime_utc, |
|
| 322 | base_end_datetime_utc)) |
|
| 323 | rows_combined_equipment_hourly = cursor_energy.fetchall() |
|
| 324 | ||
| 325 | rows_combined_equipment_periodically = \ |
|
| 326 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 327 | base_start_datetime_utc, |
|
| 328 | base_end_datetime_utc, |
|
| 329 | period_type) |
|
| 330 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 331 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 332 | timedelta(minutes=timezone_offset) |
|
| 333 | if period_type == 'hourly': |
|
| 334 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 335 | elif period_type == 'daily': |
|
| 336 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 337 | elif period_type == 'monthly': |
|
| 338 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 339 | elif period_type == 'yearly': |
|
| 340 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 341 | ||
| 342 | actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 343 | else row_combined_equipment_periodically[1] |
|
| 344 | base[energy_category_id]['values_actual'].append(actual_value) |
|
| 345 | base[energy_category_id]['subtotal_actual'] += actual_value |
|
| 346 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 347 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 348 | ||
| 349 | # calculate base period's energy savings |
|
| 350 | for i in range(len(base[energy_category_id]['values_baseline'])): |
|
| 351 | base[energy_category_id]['values_saving'].append( |
|
| 352 | base[energy_category_id]['values_baseline'][i] - |
|
| 353 | base[energy_category_id]['values_actual'][i]) |
|
| 354 | ||
| 355 | base[energy_category_id]['subtotal_saving'] = \ |
|
| 356 | base[energy_category_id]['subtotal_baseline'] - \ |
|
| 357 | base[energy_category_id]['subtotal_actual'] |
|
| 358 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 359 | base[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
|
| 360 | base[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 361 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 362 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
|
| 363 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 364 | ################################################################################################################ |
|
| 365 | # Step 5: query reporting period energy saving |
|
| 366 | ################################################################################################################ |
|
| 367 | reporting = dict() |
|
| 368 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 369 | for energy_category_id in energy_category_set: |
|
| 370 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 371 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 372 | ||
| 373 | reporting[energy_category_id] = dict() |
|
| 374 | reporting[energy_category_id]['timestamps'] = list() |
|
| 375 | reporting[energy_category_id]['values_baseline'] = list() |
|
| 376 | reporting[energy_category_id]['values_actual'] = list() |
|
| 377 | reporting[energy_category_id]['values_saving'] = list() |
|
| 378 | reporting[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
|
| 379 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 380 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 381 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
|
| 382 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 383 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 384 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
|
| 385 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 386 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 387 | # query reporting period's energy baseline |
|
| 388 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
| 389 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 390 | " WHERE combined_equipment_id = %s " |
|
| 391 | " AND energy_category_id = %s " |
|
| 392 | " AND start_datetime_utc >= %s " |
|
| 393 | " AND start_datetime_utc < %s " |
|
| 394 | " ORDER BY start_datetime_utc ", |
|
| 395 | (combined_equipment['id'], |
|
| 396 | energy_category_id, |
|
| 397 | reporting_start_datetime_utc, |
|
| 398 | reporting_end_datetime_utc)) |
|
| 399 | rows_combined_equipment_hourly = cursor_energy_baseline.fetchall() |
|
| 400 | ||
| 401 | rows_combined_equipment_periodically = \ |
|
| 402 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 403 | reporting_start_datetime_utc, |
|
| 404 | reporting_end_datetime_utc, |
|
| 405 | period_type) |
|
| 406 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 407 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 408 | timedelta(minutes=timezone_offset) |
|
| 409 | if period_type == 'hourly': |
|
| 410 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 411 | elif period_type == 'daily': |
|
| 412 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 413 | elif period_type == 'monthly': |
|
| 414 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 415 | elif period_type == 'yearly': |
|
| 416 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 417 | ||
| 418 | baseline_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 419 | else row_combined_equipment_periodically[1] |
|
| 420 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
| 421 | reporting[energy_category_id]['values_baseline'].append(baseline_value) |
|
| 422 | reporting[energy_category_id]['subtotal_baseline'] += baseline_value |
|
| 423 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
|
| 424 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
|
| 425 | ||
| 426 | # query reporting period's energy actual |
|
| 427 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 428 | " FROM tbl_combined_equipment_input_category_hourly " |
|
| 429 | " WHERE combined_equipment_id = %s " |
|
| 430 | " AND energy_category_id = %s " |
|
| 431 | " AND start_datetime_utc >= %s " |
|
| 432 | " AND start_datetime_utc < %s " |
|
| 433 | " ORDER BY start_datetime_utc ", |
|
| 434 | (combined_equipment['id'], |
|
| 435 | energy_category_id, |
|
| 436 | reporting_start_datetime_utc, |
|
| 437 | reporting_end_datetime_utc)) |
|
| 438 | rows_combined_equipment_hourly = cursor_energy.fetchall() |
|
| 439 | ||
| 440 | rows_combined_equipment_periodically = \ |
|
| 441 | utilities.aggregate_hourly_data_by_period(rows_combined_equipment_hourly, |
|
| 442 | reporting_start_datetime_utc, |
|
| 443 | reporting_end_datetime_utc, |
|
| 444 | period_type) |
|
| 445 | for row_combined_equipment_periodically in rows_combined_equipment_periodically: |
|
| 446 | current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 447 | timedelta(minutes=timezone_offset) |
|
| 448 | if period_type == 'hourly': |
|
| 449 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 450 | elif period_type == 'daily': |
|
| 451 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 452 | elif period_type == 'monthly': |
|
| 453 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 454 | elif period_type == 'yearly': |
|
| 455 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 456 | ||
| 457 | actual_value = Decimal(0.0) if row_combined_equipment_periodically[1] is None \ |
|
| 458 | else row_combined_equipment_periodically[1] |
|
| 459 | reporting[energy_category_id]['values_actual'].append(actual_value) |
|
| 460 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
|
| 461 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 462 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 463 | ||
| 464 | # calculate reporting period's energy savings |
|
| 465 | for i in range(len(reporting[energy_category_id]['values_baseline'])): |
|
| 466 | reporting[energy_category_id]['values_saving'].append( |
|
| 467 | reporting[energy_category_id]['values_baseline'][i] - |
|
| 468 | reporting[energy_category_id]['values_actual'][i]) |
|
| 469 | ||
| 470 | reporting[energy_category_id]['subtotal_saving'] = \ |
|
| 471 | reporting[energy_category_id]['subtotal_baseline'] - \ |
|
| 472 | reporting[energy_category_id]['subtotal_actual'] |
|
| 473 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 474 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
|
| 475 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 476 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 477 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
|
| 478 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 479 | ################################################################################################################ |
|
| 480 | # Step 6: query tariff data |
|
| 481 | ################################################################################################################ |
|
| 482 | parameters_data = dict() |
|
| 483 | parameters_data['names'] = list() |
|
| 484 | parameters_data['timestamps'] = list() |
|
| 485 | parameters_data['values'] = list() |
|
| 486 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 487 | for energy_category_id in energy_category_set: |
|
| 488 | energy_category_tariff_dict = \ |
|
| 489 | utilities.get_energy_category_tariffs(combined_equipment['cost_center_id'], |
|
| 490 | energy_category_id, |
|
| 491 | reporting_start_datetime_utc, |
|
| 492 | reporting_end_datetime_utc) |
|
| 493 | tariff_timestamp_list = list() |
|
| 494 | tariff_value_list = list() |
|
| 495 | for k, v in energy_category_tariff_dict.items(): |
|
| 496 | # convert k from utc to local |
|
| 497 | k = k + timedelta(minutes=timezone_offset) |
|
| 498 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
|
| 499 | tariff_value_list.append(v) |
|
| 500 | ||
| 501 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
|
| 502 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
| 503 | parameters_data['values'].append(tariff_value_list) |
|
| 504 | ||
| 505 | ################################################################################################################ |
|
| 506 | # Step 7: query associated points data |
|
| 507 | ################################################################################################################ |
|
| 508 | for point in point_list: |
|
| 509 | point_values = [] |
|
| 510 | point_timestamps = [] |
|
| 511 | if point['object_type'] == 'ANALOG_VALUE': |
|
| 512 | query = (" SELECT utc_date_time, actual_value " |
|
| 513 | " FROM tbl_analog_value " |
|
| 514 | " WHERE point_id = %s " |
|
| 515 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 516 | " ORDER BY utc_date_time ") |
|
| 517 | cursor_historical.execute(query, (point['id'], |
|
| 518 | reporting_start_datetime_utc, |
|
| 519 | reporting_end_datetime_utc)) |
|
| 520 | rows = cursor_historical.fetchall() |
|
| 521 | ||
| 522 | if rows is not None and len(rows) > 0: |
|
| 523 | for row in rows: |
|
| 524 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 525 | timedelta(minutes=timezone_offset) |
|
| 526 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 527 | point_timestamps.append(current_datetime) |
|
| 528 | point_values.append(row[1]) |
|
| 529 | ||
| 530 | elif point['object_type'] == 'ENERGY_VALUE': |
|
| 531 | query = (" SELECT utc_date_time, actual_value " |
|
| 532 | " FROM tbl_energy_value " |
|
| 533 | " WHERE point_id = %s " |
|
| 534 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 535 | " ORDER BY utc_date_time ") |
|
| 536 | cursor_historical.execute(query, (point['id'], |
|
| 537 | reporting_start_datetime_utc, |
|
| 538 | reporting_end_datetime_utc)) |
|
| 539 | rows = cursor_historical.fetchall() |
|
| 540 | ||
| 541 | if rows is not None and len(rows) > 0: |
|
| 542 | for row in rows: |
|
| 543 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 544 | timedelta(minutes=timezone_offset) |
|
| 545 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 546 | point_timestamps.append(current_datetime) |
|
| 547 | point_values.append(row[1]) |
|
| 548 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 549 | query = (" SELECT utc_date_time, actual_value " |
|
| 550 | " FROM tbl_digital_value " |
|
| 551 | " WHERE point_id = %s " |
|
| 552 | " AND utc_date_time BETWEEN %s AND %s ") |
|
| 553 | cursor_historical.execute(query, (point['id'], |
|
| 554 | reporting_start_datetime_utc, |
|
| 555 | reporting_end_datetime_utc)) |
|
| 556 | rows = cursor_historical.fetchall() |
|
| 557 | ||
| 558 | if rows is not None and len(rows) > 0: |
|
| 559 | for row in rows: |
|
| 560 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 561 | timedelta(minutes=timezone_offset) |
|
| 562 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 563 | point_timestamps.append(current_datetime) |
|
| 564 | point_values.append(row[1]) |
|
| 565 | ||
| 566 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 567 | parameters_data['timestamps'].append(point_timestamps) |
|
| 568 | parameters_data['values'].append(point_values) |
|
| 569 | ||
| 570 | ################################################################################################################ |
|
| 571 | # Step 8: construct the report |
|
| 572 | ################################################################################################################ |
|
| 573 | if cursor_system: |
|
| 574 | cursor_system.close() |
|
| 575 | if cnx_system: |
|
| 576 | cnx_system.disconnect() |
|
| 577 | ||
| 578 | if cursor_energy: |
|
| 579 | cursor_energy.close() |
|
| 580 | if cnx_energy: |
|
| 581 | cnx_energy.disconnect() |
|
| 582 | ||
| 583 | if cursor_energy_baseline: |
|
| 584 | cursor_energy_baseline.close() |
|
| 585 | if cnx_energy_baseline: |
|
| 586 | cnx_energy_baseline.disconnect() |
|
| 587 | ||
| 588 | result = dict() |
|
| 589 | ||
| 590 | result['combined_equipment'] = dict() |
|
| 591 | result['combined_equipment']['name'] = combined_equipment['name'] |
|
| 592 | ||
| 593 | result['base_period'] = dict() |
|
| 594 | result['base_period']['names'] = list() |
|
| 595 | result['base_period']['units'] = list() |
|
| 596 | result['base_period']['timestamps'] = list() |
|
| 597 | result['base_period']['values_saving'] = list() |
|
| 598 | result['base_period']['subtotals_saving'] = list() |
|
| 599 | result['base_period']['subtotals_in_kgce_saving'] = list() |
|
| 600 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 601 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 602 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 603 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 604 | for energy_category_id in energy_category_set: |
|
| 605 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 606 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 607 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
| 608 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
|
| 609 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
|
| 610 | result['base_period']['subtotals_in_kgce_saving'].append( |
|
| 611 | base[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 612 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
|
| 613 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 614 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 615 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 616 | ||
| 617 | result['reporting_period'] = dict() |
|
| 618 | result['reporting_period']['names'] = list() |
|
| 619 | result['reporting_period']['energy_category_ids'] = list() |
|
| 620 | result['reporting_period']['units'] = list() |
|
| 621 | result['reporting_period']['timestamps'] = list() |
|
| 622 | result['reporting_period']['values_saving'] = list() |
|
| 623 | result['reporting_period']['subtotals_saving'] = list() |
|
| 624 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
|
| 625 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 626 | result['reporting_period']['increment_rates_saving'] = list() |
|
| 627 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 628 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 629 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
|
| 630 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
|
| 631 | ||
| 632 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 633 | for energy_category_id in energy_category_set: |
|
| 634 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 635 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 636 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 637 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 638 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
|
| 639 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
|
| 640 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
|
| 641 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 642 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
|
| 643 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 644 | result['reporting_period']['increment_rates_saving'].append( |
|
| 645 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
|
| 646 | base[energy_category_id]['subtotal_saving'] |
|
| 647 | if base[energy_category_id]['subtotal_saving'] > 0.0 else None) |
|
| 648 | result['reporting_period']['total_in_kgce_saving'] += \ |
|
| 649 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 650 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
|
| 651 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 652 | ||
| 653 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
|
| 654 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
|
| 655 | result['base_period']['total_in_kgce_saving'] \ |
|
| 656 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
|
| 657 | ||
| 658 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
|
| 659 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
|
| 660 | result['base_period']['total_in_kgco2e_saving'] \ |
|
| 661 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
|
| 662 | ||
| 663 | result['parameters'] = { |
|
| 664 | "names": parameters_data['names'], |
|
| 665 | "timestamps": parameters_data['timestamps'], |
|
| 666 | "values": parameters_data['values'] |
|
| 667 | } |
|
| 668 | ||
| 669 | resp.body = json.dumps(result) |
|
| 670 | ||
| @@ 10-658 (lines=649) @@ | ||
| 7 | from decimal import Decimal |
|
| 8 | ||
| 9 | ||
| 10 | class Reporting: |
|
| 11 | @staticmethod |
|
| 12 | def __init__(): |
|
| 13 | pass |
|
| 14 | ||
| 15 | @staticmethod |
|
| 16 | def on_options(req, resp): |
|
| 17 | resp.status = falcon.HTTP_200 |
|
| 18 | ||
| 19 | #################################################################################################################### |
|
| 20 | # PROCEDURES |
|
| 21 | # Step 1: valid parameters |
|
| 22 | # Step 2: query the equipment |
|
| 23 | # Step 3: query energy categories |
|
| 24 | # Step 4: query associated points |
|
| 25 | # Step 5: query base period energy saving |
|
| 26 | # Step 6: query reporting period energy saving |
|
| 27 | # Step 7: query tariff data |
|
| 28 | # Step 8: query associated points data |
|
| 29 | # Step 10: construct the report |
|
| 30 | #################################################################################################################### |
|
| 31 | @staticmethod |
|
| 32 | def on_get(req, resp): |
|
| 33 | print(req.params) |
|
| 34 | equipment_id = req.params.get('equipmentid') |
|
| 35 | period_type = req.params.get('periodtype') |
|
| 36 | base_start_datetime_local = req.params.get('baseperiodstartdatetime') |
|
| 37 | base_end_datetime_local = req.params.get('baseperiodenddatetime') |
|
| 38 | reporting_start_datetime_local = req.params.get('reportingperiodstartdatetime') |
|
| 39 | reporting_end_datetime_local = req.params.get('reportingperiodenddatetime') |
|
| 40 | ||
| 41 | ################################################################################################################ |
|
| 42 | # Step 1: valid parameters |
|
| 43 | ################################################################################################################ |
|
| 44 | if equipment_id is None: |
|
| 45 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_EQUIPMENT_ID') |
|
| 46 | else: |
|
| 47 | equipment_id = str.strip(equipment_id) |
|
| 48 | if not equipment_id.isdigit() or int(equipment_id) <= 0: |
|
| 49 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_EQUIPMENT_ID') |
|
| 50 | ||
| 51 | if period_type is None: |
|
| 52 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
| 53 | else: |
|
| 54 | period_type = str.strip(period_type) |
|
| 55 | if period_type not in ['hourly', 'daily', 'monthly', 'yearly']: |
|
| 56 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', description='API.INVALID_PERIOD_TYPE') |
|
| 57 | ||
| 58 | timezone_offset = int(config.utc_offset[1:3]) * 60 + int(config.utc_offset[4:6]) |
|
| 59 | if config.utc_offset[0] == '-': |
|
| 60 | timezone_offset = -timezone_offset |
|
| 61 | ||
| 62 | base_start_datetime_utc = None |
|
| 63 | if base_start_datetime_local is not None and len(str.strip(base_start_datetime_local)) > 0: |
|
| 64 | base_start_datetime_local = str.strip(base_start_datetime_local) |
|
| 65 | try: |
|
| 66 | base_start_datetime_utc = datetime.strptime(base_start_datetime_local, |
|
| 67 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 68 | timedelta(minutes=timezone_offset) |
|
| 69 | except ValueError: |
|
| 70 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 71 | description="API.INVALID_BASE_PERIOD_START_DATETIME") |
|
| 72 | ||
| 73 | base_end_datetime_utc = None |
|
| 74 | if base_end_datetime_local is not None and len(str.strip(base_end_datetime_local)) > 0: |
|
| 75 | base_end_datetime_local = str.strip(base_end_datetime_local) |
|
| 76 | try: |
|
| 77 | base_end_datetime_utc = datetime.strptime(base_end_datetime_local, |
|
| 78 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 79 | timedelta(minutes=timezone_offset) |
|
| 80 | except ValueError: |
|
| 81 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 82 | description="API.INVALID_BASE_PERIOD_END_DATETIME") |
|
| 83 | ||
| 84 | if base_start_datetime_utc is not None and base_end_datetime_utc is not None and \ |
|
| 85 | base_start_datetime_utc >= base_end_datetime_utc: |
|
| 86 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 87 | description='API.INVALID_BASE_PERIOD_END_DATETIME') |
|
| 88 | ||
| 89 | if reporting_start_datetime_local is None: |
|
| 90 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 91 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 92 | else: |
|
| 93 | reporting_start_datetime_local = str.strip(reporting_start_datetime_local) |
|
| 94 | try: |
|
| 95 | reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local, |
|
| 96 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 97 | timedelta(minutes=timezone_offset) |
|
| 98 | except ValueError: |
|
| 99 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 100 | description="API.INVALID_REPORTING_PERIOD_START_DATETIME") |
|
| 101 | ||
| 102 | if reporting_end_datetime_local is None: |
|
| 103 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 104 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 105 | else: |
|
| 106 | reporting_end_datetime_local = str.strip(reporting_end_datetime_local) |
|
| 107 | try: |
|
| 108 | reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local, |
|
| 109 | '%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \ |
|
| 110 | timedelta(minutes=timezone_offset) |
|
| 111 | except ValueError: |
|
| 112 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 113 | description="API.INVALID_REPORTING_PERIOD_END_DATETIME") |
|
| 114 | ||
| 115 | if reporting_start_datetime_utc >= reporting_end_datetime_utc: |
|
| 116 | raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST', |
|
| 117 | description='API.INVALID_REPORTING_PERIOD_END_DATETIME') |
|
| 118 | ||
| 119 | ################################################################################################################ |
|
| 120 | # Step 2: query the equipment |
|
| 121 | ################################################################################################################ |
|
| 122 | cnx_system = mysql.connector.connect(**config.myems_system_db) |
|
| 123 | cursor_system = cnx_system.cursor() |
|
| 124 | ||
| 125 | cnx_energy = mysql.connector.connect(**config.myems_energy_db) |
|
| 126 | cursor_energy = cnx_energy.cursor() |
|
| 127 | ||
| 128 | cnx_energy_baseline = mysql.connector.connect(**config.myems_energy_baseline_db) |
|
| 129 | cursor_energy_baseline = cnx_energy_baseline.cursor() |
|
| 130 | ||
| 131 | cnx_historical = mysql.connector.connect(**config.myems_historical_db) |
|
| 132 | cursor_historical = cnx_historical.cursor() |
|
| 133 | ||
| 134 | cursor_system.execute(" SELECT id, name, cost_center_id " |
|
| 135 | " FROM tbl_equipments " |
|
| 136 | " WHERE id = %s ", (equipment_id,)) |
|
| 137 | row_equipment = cursor_system.fetchone() |
|
| 138 | if row_equipment is None: |
|
| 139 | if cursor_system: |
|
| 140 | cursor_system.close() |
|
| 141 | if cnx_system: |
|
| 142 | cnx_system.disconnect() |
|
| 143 | ||
| 144 | if cursor_energy: |
|
| 145 | cursor_energy.close() |
|
| 146 | if cnx_energy: |
|
| 147 | cnx_energy.disconnect() |
|
| 148 | ||
| 149 | if cursor_energy_baseline: |
|
| 150 | cursor_energy_baseline.close() |
|
| 151 | if cnx_energy_baseline: |
|
| 152 | cnx_energy_baseline.disconnect() |
|
| 153 | ||
| 154 | if cnx_historical: |
|
| 155 | cnx_historical.close() |
|
| 156 | if cursor_historical: |
|
| 157 | cursor_historical.disconnect() |
|
| 158 | raise falcon.HTTPError(falcon.HTTP_404, title='API.NOT_FOUND', description='API.EQUIPMENT_NOT_FOUND') |
|
| 159 | ||
| 160 | equipment = dict() |
|
| 161 | equipment['id'] = row_equipment[0] |
|
| 162 | equipment['name'] = row_equipment[1] |
|
| 163 | equipment['cost_center_id'] = row_equipment[2] |
|
| 164 | ||
| 165 | ################################################################################################################ |
|
| 166 | # Step 3: query energy categories |
|
| 167 | ################################################################################################################ |
|
| 168 | energy_category_set = set() |
|
| 169 | # query energy categories in base period |
|
| 170 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 171 | " FROM tbl_equipment_input_category_hourly " |
|
| 172 | " WHERE equipment_id = %s " |
|
| 173 | " AND start_datetime_utc >= %s " |
|
| 174 | " AND start_datetime_utc < %s ", |
|
| 175 | (equipment['id'], base_start_datetime_utc, base_end_datetime_utc)) |
|
| 176 | rows_energy_categories = cursor_energy.fetchall() |
|
| 177 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
|
| 178 | for row_energy_category in rows_energy_categories: |
|
| 179 | energy_category_set.add(row_energy_category[0]) |
|
| 180 | ||
| 181 | # query energy categories in reporting period |
|
| 182 | cursor_energy.execute(" SELECT DISTINCT(energy_category_id) " |
|
| 183 | " FROM tbl_equipment_input_category_hourly " |
|
| 184 | " WHERE equipment_id = %s " |
|
| 185 | " AND start_datetime_utc >= %s " |
|
| 186 | " AND start_datetime_utc < %s ", |
|
| 187 | (equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc)) |
|
| 188 | rows_energy_categories = cursor_energy.fetchall() |
|
| 189 | if rows_energy_categories is not None or len(rows_energy_categories) > 0: |
|
| 190 | for row_energy_category in rows_energy_categories: |
|
| 191 | energy_category_set.add(row_energy_category[0]) |
|
| 192 | ||
| 193 | # query all energy categories in base period and reporting period |
|
| 194 | cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e " |
|
| 195 | " FROM tbl_energy_categories " |
|
| 196 | " ORDER BY id ", ) |
|
| 197 | rows_energy_categories = cursor_system.fetchall() |
|
| 198 | if rows_energy_categories is None or len(rows_energy_categories) == 0: |
|
| 199 | if cursor_system: |
|
| 200 | cursor_system.close() |
|
| 201 | if cnx_system: |
|
| 202 | cnx_system.disconnect() |
|
| 203 | ||
| 204 | if cursor_energy: |
|
| 205 | cursor_energy.close() |
|
| 206 | if cnx_energy: |
|
| 207 | cnx_energy.disconnect() |
|
| 208 | ||
| 209 | if cursor_energy_baseline: |
|
| 210 | cursor_energy_baseline.close() |
|
| 211 | if cnx_energy_baseline: |
|
| 212 | cnx_energy_baseline.disconnect() |
|
| 213 | ||
| 214 | if cnx_historical: |
|
| 215 | cnx_historical.close() |
|
| 216 | if cursor_historical: |
|
| 217 | cursor_historical.disconnect() |
|
| 218 | raise falcon.HTTPError(falcon.HTTP_404, |
|
| 219 | title='API.NOT_FOUND', |
|
| 220 | description='API.ENERGY_CATEGORY_NOT_FOUND') |
|
| 221 | energy_category_dict = dict() |
|
| 222 | for row_energy_category in rows_energy_categories: |
|
| 223 | if row_energy_category[0] in energy_category_set: |
|
| 224 | energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1], |
|
| 225 | "unit_of_measure": row_energy_category[2], |
|
| 226 | "kgce": row_energy_category[3], |
|
| 227 | "kgco2e": row_energy_category[4]} |
|
| 228 | ||
| 229 | ################################################################################################################ |
|
| 230 | # Step 4: query associated points |
|
| 231 | ################################################################################################################ |
|
| 232 | point_list = list() |
|
| 233 | cursor_system.execute(" SELECT p.id, p.name, p.units, p.object_type " |
|
| 234 | " FROM tbl_equipments e, tbl_equipments_parameters ep, tbl_points p " |
|
| 235 | " WHERE e.id = %s AND e.id = ep.equipment_id AND ep.parameter_type = 'point' " |
|
| 236 | " AND ep.point_id = p.id " |
|
| 237 | " ORDER BY p.id ", (equipment['id'],)) |
|
| 238 | rows_points = cursor_system.fetchall() |
|
| 239 | if rows_points is not None and len(rows_points) > 0: |
|
| 240 | for row in rows_points: |
|
| 241 | point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]}) |
|
| 242 | ||
| 243 | ################################################################################################################ |
|
| 244 | # Step 5: query base period energy saving |
|
| 245 | ################################################################################################################ |
|
| 246 | base = dict() |
|
| 247 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 248 | for energy_category_id in energy_category_set: |
|
| 249 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 250 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 251 | ||
| 252 | base[energy_category_id] = dict() |
|
| 253 | base[energy_category_id]['timestamps'] = list() |
|
| 254 | base[energy_category_id]['values_baseline'] = list() |
|
| 255 | base[energy_category_id]['values_actual'] = list() |
|
| 256 | base[energy_category_id]['values_saving'] = list() |
|
| 257 | base[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
|
| 258 | base[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 259 | base[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 260 | base[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
|
| 261 | base[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 262 | base[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 263 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
|
| 264 | base[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 265 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 266 | # query base period's energy baseline |
|
| 267 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
| 268 | " FROM tbl_equipment_input_category_hourly " |
|
| 269 | " WHERE equipment_id = %s " |
|
| 270 | " AND energy_category_id = %s " |
|
| 271 | " AND start_datetime_utc >= %s " |
|
| 272 | " AND start_datetime_utc < %s " |
|
| 273 | " ORDER BY start_datetime_utc ", |
|
| 274 | (equipment['id'], |
|
| 275 | energy_category_id, |
|
| 276 | base_start_datetime_utc, |
|
| 277 | base_end_datetime_utc)) |
|
| 278 | rows_equipment_hourly = cursor_energy_baseline.fetchall() |
|
| 279 | ||
| 280 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 281 | base_start_datetime_utc, |
|
| 282 | base_end_datetime_utc, |
|
| 283 | period_type) |
|
| 284 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 285 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 286 | timedelta(minutes=timezone_offset) |
|
| 287 | if period_type == 'hourly': |
|
| 288 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 289 | elif period_type == 'daily': |
|
| 290 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 291 | elif period_type == 'monthly': |
|
| 292 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 293 | elif period_type == 'yearly': |
|
| 294 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 295 | ||
| 296 | baseline_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 297 | else row_equipment_periodically[1] |
|
| 298 | base[energy_category_id]['timestamps'].append(current_datetime) |
|
| 299 | base[energy_category_id]['values_baseline'].append(baseline_value) |
|
| 300 | base[energy_category_id]['subtotal_baseline'] += baseline_value |
|
| 301 | base[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
|
| 302 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
|
| 303 | ||
| 304 | # query base period's energy actual |
|
| 305 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 306 | " FROM tbl_equipment_input_category_hourly " |
|
| 307 | " WHERE equipment_id = %s " |
|
| 308 | " AND energy_category_id = %s " |
|
| 309 | " AND start_datetime_utc >= %s " |
|
| 310 | " AND start_datetime_utc < %s " |
|
| 311 | " ORDER BY start_datetime_utc ", |
|
| 312 | (equipment['id'], |
|
| 313 | energy_category_id, |
|
| 314 | base_start_datetime_utc, |
|
| 315 | base_end_datetime_utc)) |
|
| 316 | rows_equipment_hourly = cursor_energy.fetchall() |
|
| 317 | ||
| 318 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 319 | base_start_datetime_utc, |
|
| 320 | base_end_datetime_utc, |
|
| 321 | period_type) |
|
| 322 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 323 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 324 | timedelta(minutes=timezone_offset) |
|
| 325 | if period_type == 'hourly': |
|
| 326 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 327 | elif period_type == 'daily': |
|
| 328 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 329 | elif period_type == 'monthly': |
|
| 330 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 331 | elif period_type == 'yearly': |
|
| 332 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 333 | ||
| 334 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 335 | else row_equipment_periodically[1] |
|
| 336 | base[energy_category_id]['values_actual'].append(actual_value) |
|
| 337 | base[energy_category_id]['subtotal_actual'] += actual_value |
|
| 338 | base[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 339 | base[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 340 | ||
| 341 | # calculate base period's energy savings |
|
| 342 | for i in range(len(base[energy_category_id]['values_baseline'])): |
|
| 343 | base[energy_category_id]['values_saving'].append( |
|
| 344 | base[energy_category_id]['values_baseline'][i] - |
|
| 345 | base[energy_category_id]['values_actual'][i]) |
|
| 346 | ||
| 347 | base[energy_category_id]['subtotal_saving'] = \ |
|
| 348 | base[energy_category_id]['subtotal_baseline'] - \ |
|
| 349 | base[energy_category_id]['subtotal_actual'] |
|
| 350 | base[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 351 | base[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
|
| 352 | base[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 353 | base[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 354 | base[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
|
| 355 | base[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 356 | ################################################################################################################ |
|
| 357 | # Step 5: query reporting period energy saving |
|
| 358 | ################################################################################################################ |
|
| 359 | reporting = dict() |
|
| 360 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 361 | for energy_category_id in energy_category_set: |
|
| 362 | kgce = energy_category_dict[energy_category_id]['kgce'] |
|
| 363 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
|
| 364 | ||
| 365 | reporting[energy_category_id] = dict() |
|
| 366 | reporting[energy_category_id]['timestamps'] = list() |
|
| 367 | reporting[energy_category_id]['values_baseline'] = list() |
|
| 368 | reporting[energy_category_id]['values_actual'] = list() |
|
| 369 | reporting[energy_category_id]['values_saving'] = list() |
|
| 370 | reporting[energy_category_id]['subtotal_baseline'] = Decimal(0.0) |
|
| 371 | reporting[energy_category_id]['subtotal_actual'] = Decimal(0.0) |
|
| 372 | reporting[energy_category_id]['subtotal_saving'] = Decimal(0.0) |
|
| 373 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] = Decimal(0.0) |
|
| 374 | reporting[energy_category_id]['subtotal_in_kgce_actual'] = Decimal(0.0) |
|
| 375 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = Decimal(0.0) |
|
| 376 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] = Decimal(0.0) |
|
| 377 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] = Decimal(0.0) |
|
| 378 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = Decimal(0.0) |
|
| 379 | # query reporting period's energy baseline |
|
| 380 | cursor_energy_baseline.execute(" SELECT start_datetime_utc, actual_value " |
|
| 381 | " FROM tbl_equipment_input_category_hourly " |
|
| 382 | " WHERE equipment_id = %s " |
|
| 383 | " AND energy_category_id = %s " |
|
| 384 | " AND start_datetime_utc >= %s " |
|
| 385 | " AND start_datetime_utc < %s " |
|
| 386 | " ORDER BY start_datetime_utc ", |
|
| 387 | (equipment['id'], |
|
| 388 | energy_category_id, |
|
| 389 | reporting_start_datetime_utc, |
|
| 390 | reporting_end_datetime_utc)) |
|
| 391 | rows_equipment_hourly = cursor_energy_baseline.fetchall() |
|
| 392 | ||
| 393 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 394 | reporting_start_datetime_utc, |
|
| 395 | reporting_end_datetime_utc, |
|
| 396 | period_type) |
|
| 397 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 398 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 399 | timedelta(minutes=timezone_offset) |
|
| 400 | if period_type == 'hourly': |
|
| 401 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 402 | elif period_type == 'daily': |
|
| 403 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 404 | elif period_type == 'monthly': |
|
| 405 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 406 | elif period_type == 'yearly': |
|
| 407 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 408 | ||
| 409 | baseline_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 410 | else row_equipment_periodically[1] |
|
| 411 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
|
| 412 | reporting[energy_category_id]['values_baseline'].append(baseline_value) |
|
| 413 | reporting[energy_category_id]['subtotal_baseline'] += baseline_value |
|
| 414 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] += baseline_value * kgce |
|
| 415 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] += baseline_value * kgco2e |
|
| 416 | ||
| 417 | # query reporting period's energy actual |
|
| 418 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
|
| 419 | " FROM tbl_equipment_input_category_hourly " |
|
| 420 | " WHERE equipment_id = %s " |
|
| 421 | " AND energy_category_id = %s " |
|
| 422 | " AND start_datetime_utc >= %s " |
|
| 423 | " AND start_datetime_utc < %s " |
|
| 424 | " ORDER BY start_datetime_utc ", |
|
| 425 | (equipment['id'], |
|
| 426 | energy_category_id, |
|
| 427 | reporting_start_datetime_utc, |
|
| 428 | reporting_end_datetime_utc)) |
|
| 429 | rows_equipment_hourly = cursor_energy.fetchall() |
|
| 430 | ||
| 431 | rows_equipment_periodically = utilities.aggregate_hourly_data_by_period(rows_equipment_hourly, |
|
| 432 | reporting_start_datetime_utc, |
|
| 433 | reporting_end_datetime_utc, |
|
| 434 | period_type) |
|
| 435 | for row_equipment_periodically in rows_equipment_periodically: |
|
| 436 | current_datetime_local = row_equipment_periodically[0].replace(tzinfo=timezone.utc) + \ |
|
| 437 | timedelta(minutes=timezone_offset) |
|
| 438 | if period_type == 'hourly': |
|
| 439 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 440 | elif period_type == 'daily': |
|
| 441 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
|
| 442 | elif period_type == 'monthly': |
|
| 443 | current_datetime = current_datetime_local.strftime('%Y-%m') |
|
| 444 | elif period_type == 'yearly': |
|
| 445 | current_datetime = current_datetime_local.strftime('%Y') |
|
| 446 | ||
| 447 | actual_value = Decimal(0.0) if row_equipment_periodically[1] is None \ |
|
| 448 | else row_equipment_periodically[1] |
|
| 449 | reporting[energy_category_id]['values_actual'].append(actual_value) |
|
| 450 | reporting[energy_category_id]['subtotal_actual'] += actual_value |
|
| 451 | reporting[energy_category_id]['subtotal_in_kgce_actual'] += actual_value * kgce |
|
| 452 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] += actual_value * kgco2e |
|
| 453 | ||
| 454 | # calculate reporting period's energy savings |
|
| 455 | for i in range(len(reporting[energy_category_id]['values_baseline'])): |
|
| 456 | reporting[energy_category_id]['values_saving'].append( |
|
| 457 | reporting[energy_category_id]['values_baseline'][i] - |
|
| 458 | reporting[energy_category_id]['values_actual'][i]) |
|
| 459 | ||
| 460 | reporting[energy_category_id]['subtotal_saving'] = \ |
|
| 461 | reporting[energy_category_id]['subtotal_baseline'] - \ |
|
| 462 | reporting[energy_category_id]['subtotal_actual'] |
|
| 463 | reporting[energy_category_id]['subtotal_in_kgce_saving'] = \ |
|
| 464 | reporting[energy_category_id]['subtotal_in_kgce_baseline'] - \ |
|
| 465 | reporting[energy_category_id]['subtotal_in_kgce_actual'] |
|
| 466 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] = \ |
|
| 467 | reporting[energy_category_id]['subtotal_in_kgco2e_baseline'] - \ |
|
| 468 | reporting[energy_category_id]['subtotal_in_kgco2e_actual'] |
|
| 469 | ################################################################################################################ |
|
| 470 | # Step 6: query tariff data |
|
| 471 | ################################################################################################################ |
|
| 472 | parameters_data = dict() |
|
| 473 | parameters_data['names'] = list() |
|
| 474 | parameters_data['timestamps'] = list() |
|
| 475 | parameters_data['values'] = list() |
|
| 476 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 477 | for energy_category_id in energy_category_set: |
|
| 478 | energy_category_tariff_dict = utilities.get_energy_category_tariffs(equipment['cost_center_id'], |
|
| 479 | energy_category_id, |
|
| 480 | reporting_start_datetime_utc, |
|
| 481 | reporting_end_datetime_utc) |
|
| 482 | tariff_timestamp_list = list() |
|
| 483 | tariff_value_list = list() |
|
| 484 | for k, v in energy_category_tariff_dict.items(): |
|
| 485 | # convert k from utc to local |
|
| 486 | k = k + timedelta(minutes=timezone_offset) |
|
| 487 | tariff_timestamp_list.append(k.isoformat()[0:19][0:19]) |
|
| 488 | tariff_value_list.append(v) |
|
| 489 | ||
| 490 | parameters_data['names'].append('TARIFF-' + energy_category_dict[energy_category_id]['name']) |
|
| 491 | parameters_data['timestamps'].append(tariff_timestamp_list) |
|
| 492 | parameters_data['values'].append(tariff_value_list) |
|
| 493 | ||
| 494 | ################################################################################################################ |
|
| 495 | # Step 7: query associated points data |
|
| 496 | ################################################################################################################ |
|
| 497 | for point in point_list: |
|
| 498 | point_values = [] |
|
| 499 | point_timestamps = [] |
|
| 500 | if point['object_type'] == 'ANALOG_VALUE': |
|
| 501 | query = (" SELECT utc_date_time, actual_value " |
|
| 502 | " FROM tbl_analog_value " |
|
| 503 | " WHERE point_id = %s " |
|
| 504 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 505 | " ORDER BY utc_date_time ") |
|
| 506 | cursor_historical.execute(query, (point['id'], |
|
| 507 | reporting_start_datetime_utc, |
|
| 508 | reporting_end_datetime_utc)) |
|
| 509 | rows = cursor_historical.fetchall() |
|
| 510 | ||
| 511 | if rows is not None and len(rows) > 0: |
|
| 512 | for row in rows: |
|
| 513 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 514 | timedelta(minutes=timezone_offset) |
|
| 515 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 516 | point_timestamps.append(current_datetime) |
|
| 517 | point_values.append(row[1]) |
|
| 518 | ||
| 519 | elif point['object_type'] == 'ENERGY_VALUE': |
|
| 520 | query = (" SELECT utc_date_time, actual_value " |
|
| 521 | " FROM tbl_energy_value " |
|
| 522 | " WHERE point_id = %s " |
|
| 523 | " AND utc_date_time BETWEEN %s AND %s " |
|
| 524 | " ORDER BY utc_date_time ") |
|
| 525 | cursor_historical.execute(query, (point['id'], |
|
| 526 | reporting_start_datetime_utc, |
|
| 527 | reporting_end_datetime_utc)) |
|
| 528 | rows = cursor_historical.fetchall() |
|
| 529 | ||
| 530 | if rows is not None and len(rows) > 0: |
|
| 531 | for row in rows: |
|
| 532 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 533 | timedelta(minutes=timezone_offset) |
|
| 534 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 535 | point_timestamps.append(current_datetime) |
|
| 536 | point_values.append(row[1]) |
|
| 537 | elif point['object_type'] == 'DIGITAL_VALUE': |
|
| 538 | query = (" SELECT utc_date_time, actual_value " |
|
| 539 | " FROM tbl_digital_value " |
|
| 540 | " WHERE point_id = %s " |
|
| 541 | " AND utc_date_time BETWEEN %s AND %s ") |
|
| 542 | cursor_historical.execute(query, (point['id'], |
|
| 543 | reporting_start_datetime_utc, |
|
| 544 | reporting_end_datetime_utc)) |
|
| 545 | rows = cursor_historical.fetchall() |
|
| 546 | ||
| 547 | if rows is not None and len(rows) > 0: |
|
| 548 | for row in rows: |
|
| 549 | current_datetime_local = row[0].replace(tzinfo=timezone.utc) + \ |
|
| 550 | timedelta(minutes=timezone_offset) |
|
| 551 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
|
| 552 | point_timestamps.append(current_datetime) |
|
| 553 | point_values.append(row[1]) |
|
| 554 | ||
| 555 | parameters_data['names'].append(point['name'] + ' (' + point['units'] + ')') |
|
| 556 | parameters_data['timestamps'].append(point_timestamps) |
|
| 557 | parameters_data['values'].append(point_values) |
|
| 558 | ||
| 559 | ################################################################################################################ |
|
| 560 | # Step 8: construct the report |
|
| 561 | ################################################################################################################ |
|
| 562 | if cursor_system: |
|
| 563 | cursor_system.close() |
|
| 564 | if cnx_system: |
|
| 565 | cnx_system.disconnect() |
|
| 566 | ||
| 567 | if cursor_energy: |
|
| 568 | cursor_energy.close() |
|
| 569 | if cnx_energy: |
|
| 570 | cnx_energy.disconnect() |
|
| 571 | ||
| 572 | if cursor_energy_baseline: |
|
| 573 | cursor_energy_baseline.close() |
|
| 574 | if cnx_energy_baseline: |
|
| 575 | cnx_energy_baseline.disconnect() |
|
| 576 | ||
| 577 | result = dict() |
|
| 578 | ||
| 579 | result['equipment'] = dict() |
|
| 580 | result['equipment']['name'] = equipment['name'] |
|
| 581 | ||
| 582 | result['base_period'] = dict() |
|
| 583 | result['base_period']['names'] = list() |
|
| 584 | result['base_period']['units'] = list() |
|
| 585 | result['base_period']['timestamps'] = list() |
|
| 586 | result['base_period']['values_saving'] = list() |
|
| 587 | result['base_period']['subtotals_saving'] = list() |
|
| 588 | result['base_period']['subtotals_in_kgce_saving'] = list() |
|
| 589 | result['base_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 590 | result['base_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 591 | result['base_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 592 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 593 | for energy_category_id in energy_category_set: |
|
| 594 | result['base_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 595 | result['base_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 596 | result['base_period']['timestamps'].append(base[energy_category_id]['timestamps']) |
|
| 597 | result['base_period']['values_saving'].append(base[energy_category_id]['values_saving']) |
|
| 598 | result['base_period']['subtotals_saving'].append(base[energy_category_id]['subtotal_saving']) |
|
| 599 | result['base_period']['subtotals_in_kgce_saving'].append( |
|
| 600 | base[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 601 | result['base_period']['subtotals_in_kgco2e_saving'].append( |
|
| 602 | base[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 603 | result['base_period']['total_in_kgce_saving'] += base[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 604 | result['base_period']['total_in_kgco2e_saving'] += base[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 605 | ||
| 606 | result['reporting_period'] = dict() |
|
| 607 | result['reporting_period']['names'] = list() |
|
| 608 | result['reporting_period']['energy_category_ids'] = list() |
|
| 609 | result['reporting_period']['units'] = list() |
|
| 610 | result['reporting_period']['timestamps'] = list() |
|
| 611 | result['reporting_period']['values_saving'] = list() |
|
| 612 | result['reporting_period']['subtotals_saving'] = list() |
|
| 613 | result['reporting_period']['subtotals_in_kgce_saving'] = list() |
|
| 614 | result['reporting_period']['subtotals_in_kgco2e_saving'] = list() |
|
| 615 | result['reporting_period']['increment_rates_saving'] = list() |
|
| 616 | result['reporting_period']['total_in_kgce_saving'] = Decimal(0.0) |
|
| 617 | result['reporting_period']['total_in_kgco2e_saving'] = Decimal(0.0) |
|
| 618 | result['reporting_period']['increment_rate_in_kgce_saving'] = Decimal(0.0) |
|
| 619 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = Decimal(0.0) |
|
| 620 | ||
| 621 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 622 | for energy_category_id in energy_category_set: |
|
| 623 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 624 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 625 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 626 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 627 | result['reporting_period']['values_saving'].append(reporting[energy_category_id]['values_saving']) |
|
| 628 | result['reporting_period']['subtotals_saving'].append(reporting[energy_category_id]['subtotal_saving']) |
|
| 629 | result['reporting_period']['subtotals_in_kgce_saving'].append( |
|
| 630 | reporting[energy_category_id]['subtotal_in_kgce_saving']) |
|
| 631 | result['reporting_period']['subtotals_in_kgco2e_saving'].append( |
|
| 632 | reporting[energy_category_id]['subtotal_in_kgco2e_saving']) |
|
| 633 | result['reporting_period']['increment_rates_saving'].append( |
|
| 634 | (reporting[energy_category_id]['subtotal_saving'] - base[energy_category_id]['subtotal_saving']) / |
|
| 635 | base[energy_category_id]['subtotal_saving'] |
|
| 636 | if base[energy_category_id]['subtotal_saving'] > 0.0 else None) |
|
| 637 | result['reporting_period']['total_in_kgce_saving'] += \ |
|
| 638 | reporting[energy_category_id]['subtotal_in_kgce_saving'] |
|
| 639 | result['reporting_period']['total_in_kgco2e_saving'] += \ |
|
| 640 | reporting[energy_category_id]['subtotal_in_kgco2e_saving'] |
|
| 641 | ||
| 642 | result['reporting_period']['increment_rate_in_kgce_saving'] = \ |
|
| 643 | (result['reporting_period']['total_in_kgce_saving'] - result['base_period']['total_in_kgce_saving']) / \ |
|
| 644 | result['base_period']['total_in_kgce_saving'] \ |
|
| 645 | if result['base_period']['total_in_kgce_saving'] > Decimal(0.0) else None |
|
| 646 | ||
| 647 | result['reporting_period']['increment_rate_in_kgco2e_saving'] = \ |
|
| 648 | (result['reporting_period']['total_in_kgco2e_saving'] - result['base_period']['total_in_kgco2e_saving']) / \ |
|
| 649 | result['base_period']['total_in_kgco2e_saving'] \ |
|
| 650 | if result['base_period']['total_in_kgco2e_saving'] > Decimal(0.0) else None |
|
| 651 | ||
| 652 | result['parameters'] = { |
|
| 653 | "names": parameters_data['names'], |
|
| 654 | "timestamps": parameters_data['timestamps'], |
|
| 655 | "values": parameters_data['values'] |
|
| 656 | } |
|
| 657 | ||
| 658 | resp.body = json.dumps(result) |
|
| 659 | ||
