myems /
myems-api
| @@ 404-469 (lines=66) @@ | ||
| 401 | # Step 9: query reporting period energy input |
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| 402 | ################################################################################################################ |
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| 403 | reporting_input = dict() |
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| 404 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 405 | for energy_category_id in energy_category_set: |
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| 406 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 407 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 408 | ||
| 409 | reporting_input[energy_category_id] = dict() |
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| 410 | reporting_input[energy_category_id]['timestamps'] = list() |
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| 411 | reporting_input[energy_category_id]['values'] = list() |
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| 412 | reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
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| 413 | reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
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| 414 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
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| 415 | reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
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| 416 | reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
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| 417 | reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
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| 418 | reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
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| 419 | ||
| 420 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 421 | " FROM tbl_space_input_category_hourly " |
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| 422 | " WHERE space_id = %s " |
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| 423 | " AND energy_category_id = %s " |
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| 424 | " AND start_datetime_utc >= %s " |
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| 425 | " AND start_datetime_utc < %s " |
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| 426 | " ORDER BY start_datetime_utc ", |
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| 427 | (space['id'], |
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| 428 | energy_category_id, |
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| 429 | reporting_start_datetime_utc, |
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| 430 | reporting_end_datetime_utc)) |
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| 431 | rows_space_hourly = cursor_energy.fetchall() |
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| 432 | ||
| 433 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 434 | reporting_start_datetime_utc, |
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| 435 | reporting_end_datetime_utc, |
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| 436 | period_type) |
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| 437 | for row_space_periodically in rows_space_periodically: |
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| 438 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 439 | timedelta(minutes=timezone_offset) |
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| 440 | if period_type == 'hourly': |
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| 441 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 442 | elif period_type == 'daily': |
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| 443 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 444 | elif period_type == 'monthly': |
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| 445 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 446 | elif period_type == 'yearly': |
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| 447 | current_datetime = current_datetime_local.strftime('%Y') |
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| 448 | ||
| 449 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 450 | reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
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| 451 | reporting_input[energy_category_id]['values'].append(actual_value) |
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| 452 | reporting_input[energy_category_id]['subtotal'] += actual_value |
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| 453 | reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
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| 454 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
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| 455 | ||
| 456 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
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| 457 | energy_category_id, |
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| 458 | reporting_start_datetime_utc, |
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| 459 | reporting_end_datetime_utc) |
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| 460 | for row in rows_space_hourly: |
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| 461 | peak_type = energy_category_tariff_dict.get(row[0], None) |
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| 462 | if peak_type == 'toppeak': |
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| 463 | reporting_input[energy_category_id]['toppeak'] += row[1] |
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| 464 | elif peak_type == 'onpeak': |
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| 465 | reporting_input[energy_category_id]['onpeak'] += row[1] |
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| 466 | elif peak_type == 'midpeak': |
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| 467 | reporting_input[energy_category_id]['midpeak'] += row[1] |
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| 468 | elif peak_type == 'offpeak': |
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| 469 | reporting_input[energy_category_id]['offpeak'] += row[1] |
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| 470 | ||
| 471 | ################################################################################################################ |
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| 472 | # Step 10: query reporting period energy cost |
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| @@ 316-381 (lines=66) @@ | ||
| 313 | # Step 8: query reporting period energy input |
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| 314 | ################################################################################################################ |
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| 315 | reporting = dict() |
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| 316 | if energy_category_set is not None and len(energy_category_set) > 0: |
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| 317 | for energy_category_id in energy_category_set: |
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| 318 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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| 319 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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| 320 | ||
| 321 | reporting[energy_category_id] = dict() |
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| 322 | reporting[energy_category_id]['timestamps'] = list() |
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| 323 | reporting[energy_category_id]['values'] = list() |
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| 324 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
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| 325 | reporting[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
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| 326 | reporting[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
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| 327 | reporting[energy_category_id]['toppeak'] = Decimal(0.0) |
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| 328 | reporting[energy_category_id]['onpeak'] = Decimal(0.0) |
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| 329 | reporting[energy_category_id]['midpeak'] = Decimal(0.0) |
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| 330 | reporting[energy_category_id]['offpeak'] = Decimal(0.0) |
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| 331 | ||
| 332 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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| 333 | " FROM tbl_space_input_category_hourly " |
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| 334 | " WHERE space_id = %s " |
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| 335 | " AND energy_category_id = %s " |
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| 336 | " AND start_datetime_utc >= %s " |
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| 337 | " AND start_datetime_utc < %s " |
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| 338 | " ORDER BY start_datetime_utc ", |
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| 339 | (space['id'], |
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| 340 | energy_category_id, |
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| 341 | reporting_start_datetime_utc, |
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| 342 | reporting_end_datetime_utc)) |
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| 343 | rows_space_hourly = cursor_energy.fetchall() |
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| 344 | ||
| 345 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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| 346 | reporting_start_datetime_utc, |
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| 347 | reporting_end_datetime_utc, |
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| 348 | period_type) |
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| 349 | for row_space_periodically in rows_space_periodically: |
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| 350 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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| 351 | timedelta(minutes=timezone_offset) |
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| 352 | if period_type == 'hourly': |
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| 353 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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| 354 | elif period_type == 'daily': |
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| 355 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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| 356 | elif period_type == 'monthly': |
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| 357 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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| 358 | elif period_type == 'yearly': |
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| 359 | current_datetime = current_datetime_local.strftime('%Y') |
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| 360 | ||
| 361 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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| 362 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
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| 363 | reporting[energy_category_id]['values'].append(actual_value) |
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| 364 | reporting[energy_category_id]['subtotal'] += actual_value |
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| 365 | reporting[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
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| 366 | reporting[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
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| 367 | ||
| 368 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
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| 369 | energy_category_id, |
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| 370 | reporting_start_datetime_utc, |
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| 371 | reporting_end_datetime_utc) |
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| 372 | for row in rows_space_hourly: |
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| 373 | peak_type = energy_category_tariff_dict.get(row[0], None) |
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| 374 | if peak_type == 'toppeak': |
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| 375 | reporting[energy_category_id]['toppeak'] += row[1] |
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| 376 | elif peak_type == 'onpeak': |
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| 377 | reporting[energy_category_id]['onpeak'] += row[1] |
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| 378 | elif peak_type == 'midpeak': |
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| 379 | reporting[energy_category_id]['midpeak'] += row[1] |
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| 380 | elif peak_type == 'offpeak': |
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| 381 | reporting[energy_category_id]['offpeak'] += row[1] |
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| 382 | ||
| 383 | ################################################################################################################ |
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| 384 | # Step 9: query tariff data |
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