@@ 407-472 (lines=66) @@ | ||
404 | # Step 9: query reporting period energy input |
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405 | ################################################################################################################ |
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406 | reporting_input = dict() |
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407 | if energy_category_set is not None and len(energy_category_set) > 0: |
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408 | for energy_category_id in energy_category_set: |
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409 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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410 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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411 | ||
412 | reporting_input[energy_category_id] = dict() |
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413 | reporting_input[energy_category_id]['timestamps'] = list() |
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414 | reporting_input[energy_category_id]['values'] = list() |
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415 | reporting_input[energy_category_id]['subtotal'] = Decimal(0.0) |
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416 | reporting_input[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
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417 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
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418 | reporting_input[energy_category_id]['toppeak'] = Decimal(0.0) |
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419 | reporting_input[energy_category_id]['onpeak'] = Decimal(0.0) |
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420 | reporting_input[energy_category_id]['midpeak'] = Decimal(0.0) |
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421 | reporting_input[energy_category_id]['offpeak'] = Decimal(0.0) |
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422 | ||
423 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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424 | " FROM tbl_space_input_category_hourly " |
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425 | " WHERE space_id = %s " |
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426 | " AND energy_category_id = %s " |
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427 | " AND start_datetime_utc >= %s " |
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428 | " AND start_datetime_utc < %s " |
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429 | " ORDER BY start_datetime_utc ", |
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430 | (space['id'], |
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431 | energy_category_id, |
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432 | reporting_start_datetime_utc, |
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433 | reporting_end_datetime_utc)) |
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434 | rows_space_hourly = cursor_energy.fetchall() |
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435 | ||
436 | rows_space_periodically = utilities.aggregate_hourly_data_by_period(rows_space_hourly, |
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437 | reporting_start_datetime_utc, |
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438 | reporting_end_datetime_utc, |
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439 | period_type) |
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440 | for row_space_periodically in rows_space_periodically: |
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441 | current_datetime_local = row_space_periodically[0].replace(tzinfo=timezone.utc) + \ |
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442 | timedelta(minutes=timezone_offset) |
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443 | if period_type == 'hourly': |
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444 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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445 | elif period_type == 'daily': |
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446 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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447 | elif period_type == 'monthly': |
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448 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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449 | elif period_type == 'yearly': |
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450 | current_datetime = current_datetime_local.strftime('%Y') |
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451 | ||
452 | actual_value = Decimal(0.0) if row_space_periodically[1] is None else row_space_periodically[1] |
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453 | reporting_input[energy_category_id]['timestamps'].append(current_datetime) |
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454 | reporting_input[energy_category_id]['values'].append(actual_value) |
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455 | reporting_input[energy_category_id]['subtotal'] += actual_value |
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456 | reporting_input[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
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457 | reporting_input[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
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458 | ||
459 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(space['cost_center_id'], |
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460 | energy_category_id, |
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461 | reporting_start_datetime_utc, |
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462 | reporting_end_datetime_utc) |
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463 | for row in rows_space_hourly: |
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464 | peak_type = energy_category_tariff_dict.get(row[0], None) |
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465 | if peak_type == 'toppeak': |
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466 | reporting_input[energy_category_id]['toppeak'] += row[1] |
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467 | elif peak_type == 'onpeak': |
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468 | reporting_input[energy_category_id]['onpeak'] += row[1] |
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469 | elif peak_type == 'midpeak': |
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470 | reporting_input[energy_category_id]['midpeak'] += row[1] |
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471 | elif peak_type == 'offpeak': |
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472 | reporting_input[energy_category_id]['offpeak'] += row[1] |
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473 | ||
474 | ################################################################################################################ |
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475 | # Step 10: query reporting period energy cost |
@@ 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 |
@@ 301-366 (lines=66) @@ | ||
298 | # Step 8: query reporting period energy input |
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299 | ################################################################################################################ |
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300 | reporting = dict() |
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301 | if energy_category_set is not None and len(energy_category_set) > 0: |
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302 | for energy_category_id in energy_category_set: |
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303 | kgce = energy_category_dict[energy_category_id]['kgce'] |
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304 | kgco2e = energy_category_dict[energy_category_id]['kgco2e'] |
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305 | ||
306 | reporting[energy_category_id] = dict() |
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307 | reporting[energy_category_id]['timestamps'] = list() |
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308 | reporting[energy_category_id]['values'] = list() |
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309 | reporting[energy_category_id]['subtotal'] = Decimal(0.0) |
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310 | reporting[energy_category_id]['subtotal_in_kgce'] = Decimal(0.0) |
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311 | reporting[energy_category_id]['subtotal_in_kgco2e'] = Decimal(0.0) |
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312 | reporting[energy_category_id]['toppeak'] = Decimal(0.0) |
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313 | reporting[energy_category_id]['onpeak'] = Decimal(0.0) |
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314 | reporting[energy_category_id]['midpeak'] = Decimal(0.0) |
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315 | reporting[energy_category_id]['offpeak'] = Decimal(0.0) |
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316 | ||
317 | cursor_energy.execute(" SELECT start_datetime_utc, actual_value " |
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318 | " FROM tbl_tenant_input_category_hourly " |
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319 | " WHERE tenant_id = %s " |
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320 | " AND energy_category_id = %s " |
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321 | " AND start_datetime_utc >= %s " |
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322 | " AND start_datetime_utc < %s " |
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323 | " ORDER BY start_datetime_utc ", |
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324 | (tenant['id'], |
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325 | energy_category_id, |
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326 | reporting_start_datetime_utc, |
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327 | reporting_end_datetime_utc)) |
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328 | rows_tenant_hourly = cursor_energy.fetchall() |
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329 | ||
330 | rows_tenant_periodically = utilities.aggregate_hourly_data_by_period(rows_tenant_hourly, |
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331 | reporting_start_datetime_utc, |
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332 | reporting_end_datetime_utc, |
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333 | period_type) |
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334 | for row_tenant_periodically in rows_tenant_periodically: |
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335 | current_datetime_local = row_tenant_periodically[0].replace(tzinfo=timezone.utc) + \ |
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336 | timedelta(minutes=timezone_offset) |
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337 | if period_type == 'hourly': |
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338 | current_datetime = current_datetime_local.strftime('%Y-%m-%dT%H:%M:%S') |
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339 | elif period_type == 'daily': |
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340 | current_datetime = current_datetime_local.strftime('%Y-%m-%d') |
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341 | elif period_type == 'monthly': |
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342 | current_datetime = current_datetime_local.strftime('%Y-%m') |
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343 | elif period_type == 'yearly': |
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344 | current_datetime = current_datetime_local.strftime('%Y') |
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345 | ||
346 | actual_value = Decimal(0.0) if row_tenant_periodically[1] is None else row_tenant_periodically[1] |
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347 | reporting[energy_category_id]['timestamps'].append(current_datetime) |
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348 | reporting[energy_category_id]['values'].append(actual_value) |
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349 | reporting[energy_category_id]['subtotal'] += actual_value |
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350 | reporting[energy_category_id]['subtotal_in_kgce'] += actual_value * kgce |
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351 | reporting[energy_category_id]['subtotal_in_kgco2e'] += actual_value * kgco2e |
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352 | ||
353 | energy_category_tariff_dict = utilities.get_energy_category_peak_types(tenant['cost_center_id'], |
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354 | energy_category_id, |
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355 | reporting_start_datetime_utc, |
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356 | reporting_end_datetime_utc) |
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357 | for row in rows_tenant_hourly: |
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358 | peak_type = energy_category_tariff_dict.get(row[0], None) |
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359 | if peak_type == 'toppeak': |
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360 | reporting[energy_category_id]['toppeak'] += row[1] |
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361 | elif peak_type == 'onpeak': |
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362 | reporting[energy_category_id]['onpeak'] += row[1] |
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363 | elif peak_type == 'midpeak': |
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364 | reporting[energy_category_id]['midpeak'] += row[1] |
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365 | elif peak_type == 'offpeak': |
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366 | reporting[energy_category_id]['offpeak'] += row[1] |
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367 | ||
368 | ################################################################################################################ |
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369 | # Step 9: query tariff data |