Added Associated Equpment Data to CombinedEquipmentEfficiency Report in web UI and API
tianlinzhong
parent
67191817ef
commit
f4166091b7
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@ -389,6 +389,65 @@ def generate_excel(report,
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chart_start_row_number += 6
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ws.add_chart(line, chart_cell)
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####################################################################################################################
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has_associated_equipment_flag = True
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current_row_number += 2
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if "associated_equipment" not in report.keys() or \
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"energy_category_names" not in report['associated_equipment'].keys() or \
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len(report['associated_equipment']["energy_category_names"]) == 0 \
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or 'associated_equipment_names_array' not in report['associated_equipment'].keys() \
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or report['associated_equipment']['associated_equipment_names_array'] is None \
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or len(report['associated_equipment']['associated_equipment_names_array']) == 0 \
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or len(report['associated_equipment']['associated_equipment_names_array'][0]) == 0:
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has_associated_equipment_flag = False
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if has_associated_equipment_flag:
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associated_equipment = report['associated_equipment']
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)] = name + ' ' + 'Associated Equipment Data'
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current_row_number += 1
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table_start_row_number = current_row_number
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ws.row_dimensions[current_row_number].height = 60
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ws['B' + str(current_row_number)].fill = table_fill
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ws['B' + str(current_row_number)].font = name_font
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ws['B' + str(current_row_number)].alignment = c_c_alignment
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ws['B' + str(current_row_number)].border = f_border
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ws['B' + str(current_row_number)] = 'Associated Equipment'
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ca_len = len(associated_equipment['energy_category_names'])
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for i in range(0, ca_len):
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row = chr(ord('C') + i)
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ws[row + str(current_row_number)].fill = table_fill
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ws[row + str(current_row_number)].font = name_font
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ws[row + str(current_row_number)].alignment = c_c_alignment
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ws[row + str(current_row_number)].border = f_border
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ws[row + str(current_row_number)] = \
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reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
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associated_equipment_len = len(associated_equipment['associated_equipment_names_array'][0])
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for i in range(0, associated_equipment_len):
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current_row_number += 1
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row = str(current_row_number)
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ws['B' + row].font = title_font
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ws['B' + row].alignment = c_c_alignment
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ws['B' + row] = associated_equipment['associated_equipment_names_array'][0][i]
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ws['B' + row].border = f_border
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for j in range(0, ca_len):
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col = chr(ord('C') + j)
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ws[col + row].font = title_font
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ws[col + row].alignment = c_c_alignment
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ws[col + row] = round(associated_equipment['subtotals_array'][j][i], 2)
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ws[col + row].border = f_border
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##########################################
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####################################################################################################################
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if has_parameters_names_and_timestamps_and_values_data:
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@ -22,13 +22,16 @@ class Reporting:
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# PROCEDURES
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# Step 1: valid parameters
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# Step 2: query the combined equipment
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# Step 3: query associated points
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# Step 4: query associated fractions
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# Step 5: query fractions' numerator and denominator
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# Step 6: calculate base period fractions
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# Step 7: calculate reporting period fractions
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# Step 8: query associated points data
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# Step 9: construct the report
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# Step 3: query energy categories
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# Step 4: query associated points
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# Step 5: query associated equipments
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# Step 6: query associated fractions
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# Step 7: query fractions' numerator and denominator
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# Step 8: calculate base period fractions
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# Step 9: calculate reporting period fractions
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# Step 10: query associated points data
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# Step 11: query associated equipments energy input
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# Step 12: construct the report
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####################################################################################################################
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@staticmethod
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def on_get(req, resp):
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@ -167,7 +170,66 @@ class Reporting:
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combined_equipment['cost_center_id'] = row_combined_equipment[2]
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################################################################################################################
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# Step 3: query associated points
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# Step 3: query energy categories
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################################################################################################################
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energy_category_set = set()
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# query energy categories in base period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_combined_equipment_input_category_hourly "
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" WHERE combined_equipment_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(combined_equipment['id'], base_start_datetime_utc, base_end_datetime_utc))
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rows_energy_categories = cursor_energy.fetchall()
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if rows_energy_categories is not None or len(rows_energy_categories) > 0:
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for row_energy_category in rows_energy_categories:
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energy_category_set.add(row_energy_category[0])
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# query energy categories in reporting period
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cursor_energy.execute(" SELECT DISTINCT(energy_category_id) "
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" FROM tbl_combined_equipment_input_category_hourly "
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" WHERE combined_equipment_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s ",
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(combined_equipment['id'], reporting_start_datetime_utc, reporting_end_datetime_utc))
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rows_energy_categories = cursor_energy.fetchall()
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if rows_energy_categories is not None or len(rows_energy_categories) > 0:
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for row_energy_category in rows_energy_categories:
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energy_category_set.add(row_energy_category[0])
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# query all energy categories in base period and reporting period
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cursor_system.execute(" SELECT id, name, unit_of_measure, kgce, kgco2e "
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" FROM tbl_energy_categories "
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" ORDER BY id ", )
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rows_energy_categories = cursor_system.fetchall()
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if rows_energy_categories is None or len(rows_energy_categories) == 0:
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if cursor_system:
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cursor_system.close()
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if cnx_system:
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cnx_system.disconnect()
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if cursor_energy:
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cursor_energy.close()
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if cnx_energy:
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cnx_energy.disconnect()
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if cursor_historical:
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cursor_historical.close()
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if cnx_historical:
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cnx_historical.disconnect()
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raise falcon.HTTPError(falcon.HTTP_404,
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title='API.NOT_FOUND',
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description='API.ENERGY_CATEGORY_NOT_FOUND')
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energy_category_dict = dict()
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for row_energy_category in rows_energy_categories:
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if row_energy_category[0] in energy_category_set:
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energy_category_dict[row_energy_category[0]] = {"name": row_energy_category[1],
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"unit_of_measure": row_energy_category[2],
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"kgce": row_energy_category[3],
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"kgco2e": row_energy_category[4]}
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################################################################################################################
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# Step 4: query associated points
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################################################################################################################
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point_list = list()
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cursor_system.execute(" SELECT p.id, ep.name, p.units, p.object_type "
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@ -181,8 +243,22 @@ class Reporting:
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point_list.append({"id": row[0], "name": row[1], "units": row[2], "object_type": row[3]})
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print(point_list)
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################################################################################################################
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# Step 4: query associated fractions
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# Step 5: query associated equipments
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################################################################################################################
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associated_equipment_list = list()
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cursor_system.execute(" SELECT e.id, e.name "
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" FROM tbl_equipments e,tbl_combined_equipments_equipments ee"
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" WHERE ee.combined_equipment_id = %s AND e.id = ee.equipment_id"
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" ORDER BY id ", (combined_equipment['id'],))
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rows_associated_equipments = cursor_system.fetchall()
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if rows_associated_equipments is not None and len(rows_associated_equipments) > 0:
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for row in rows_associated_equipments:
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associated_equipment_list.append({"id": row[0], "name": row[1]})
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################################################################################################################
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# Step 6: query associated fractions
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################################################################################################################
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fraction_list = list()
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cursor_system.execute(" SELECT id, name, numerator_meter_uuid, denominator_meter_uuid "
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@ -201,7 +277,7 @@ class Reporting:
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print(fraction_list)
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################################################################################################################
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# Step 5: query fractions' numerator and denominator
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# Step 7: query fractions' numerator and denominator
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################################################################################################################
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# get all meters
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meter_dict = dict()
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@ -268,7 +344,7 @@ class Reporting:
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print(fraction_list)
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################################################################################################################
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# Step 5: calculate base period fractions
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# Step 8: calculate base period fractions
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################################################################################################################
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base = dict()
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if fraction_list is not None and len(fraction_list) > 0:
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@ -405,7 +481,7 @@ class Reporting:
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base[fraction['id']]['cumulation'] = cumulation
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################################################################################################################
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# Step 6: calculate reporting period fractions
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# Step 9: calculate reporting period fractions
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################################################################################################################
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reporting = dict()
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if fraction_list is not None and len(fraction_list) > 0:
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@ -542,7 +618,7 @@ class Reporting:
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reporting[fraction['id']]['cumulation'] = cumulation
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################################################################################################################
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# Step 7: query associated points data
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# Step 10: query associated points data
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################################################################################################################
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parameters_data = dict()
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parameters_data['names'] = list()
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@ -613,7 +689,38 @@ class Reporting:
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parameters_data['values'].append(point_values)
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################################################################################################################
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# Step 8: construct the report
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# Step 11: query associated equipments energy input
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################################################################################################################
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associated_equipment_data = dict()
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if energy_category_set is not None and len(energy_category_set) > 0:
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for energy_category_id in energy_category_set:
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associated_equipment_data[energy_category_id] = dict()
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associated_equipment_data[energy_category_id]['associated_equipment_names'] = list()
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associated_equipment_data[energy_category_id]['subtotals'] = list()
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for associated_equipment in associated_equipment_list:
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associated_equipment_data[energy_category_id]['associated_equipment_names'].append(
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associated_equipment['name'])
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cursor_energy.execute(" SELECT SUM(actual_value) "
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" FROM tbl_equipment_input_category_hourly "
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" WHERE equipment_id = %s "
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" AND energy_category_id = %s "
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" AND start_datetime_utc >= %s "
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" AND start_datetime_utc < %s "
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" ORDER BY start_datetime_utc ",
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(associated_equipment['id'],
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energy_category_id,
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reporting_start_datetime_utc,
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reporting_end_datetime_utc))
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row_subtotal = cursor_energy.fetchone()
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subtotal = Decimal(0.0) if (row_subtotal is None or row_subtotal[0] is None) else row_subtotal[0]
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associated_equipment_data[energy_category_id]['subtotals'].append(subtotal)
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################################################################################################################
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# Step 12: construct the report
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################################################################################################################
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if cursor_system:
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cursor_system.close()
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@ -661,6 +768,21 @@ class Reporting:
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"timestamps": parameters_data['timestamps'],
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"values": parameters_data['values']
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}
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result['associated_equipment'] = dict()
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result['associated_equipment']['energy_category_names'] = list()
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result['associated_equipment']['units'] = list()
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result['associated_equipment']['associated_equipment_names_array'] = list()
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result['associated_equipment']['subtotals_array'] = list()
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if energy_category_set is not None and len(energy_category_set) > 0:
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for energy_category_id in energy_category_set:
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result['associated_equipment']['energy_category_names'].append(
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energy_category_dict[energy_category_id]['name'])
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result['associated_equipment']['units'].append(
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energy_category_dict[energy_category_id]['unit_of_measure'])
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result['associated_equipment']['associated_equipment_names_array'].append(
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associated_equipment_data[energy_category_id]['associated_equipment_names'])
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result['associated_equipment']['subtotals_array'].append(
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associated_equipment_data[energy_category_id]['subtotals'])
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# export result to Excel file and then encode the file to base64 string
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result['excel_bytes_base64'] = None
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@ -33,6 +33,7 @@ import { comparisonTypeOptions } from '../common/ComparisonTypeOptions';
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const DetailedDataTable = loadable(() => import('../common/DetailedDataTable'));
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const AssociatedEquipmentTable = loadable(() => import('../common/AssociatedEquipmentTable'));
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const CombinedEquipmentEfficiency = ({ setRedirect, setRedirectUrl, t }) => {
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let current_moment = moment();
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@ -87,6 +88,11 @@ const CombinedEquipmentEfficiency = ({ setRedirect, setRedirectUrl, t }) => {
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const [detailedDataTableData, setDetailedDataTableData] = useState([]);
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const [detailedDataTableColumns, setDetailedDataTableColumns] = useState([{dataField: 'startdatetime', text: t('Datetime'), sort: true}]);
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const [associatedEquipmentTableData, setAssociatedEquipmentTableData] = useState([]);
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const [associatedEquipmentTableColumns, setAssociatedEquipmentTableColumns] = useState([{dataField: 'name', text: t('Associated Equipment'), sort: true }]);
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const [excelBytesBase64, setExcelBytesBase64] = useState(undefined);
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useEffect(() => {
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@ -295,6 +301,8 @@ const CombinedEquipmentEfficiency = ({ setRedirect, setRedirectUrl, t }) => {
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// Reinitialize tables
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setDetailedDataTableData([]);
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setAssociatedEquipmentTableData([]);
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let isResponseOK = false;
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fetch(APIBaseURL + '/reports/combinedequipmentefficiency?' +
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@ -416,6 +424,38 @@ const CombinedEquipmentEfficiency = ({ setRedirect, setRedirectUrl, t }) => {
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});
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setDetailedDataTableColumns(detailed_column_list);
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let associated_equipment_value_list = [];
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if (json['associated_equipment']['associated_equipment_names_array'].length > 0) {
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json['associated_equipment']['associated_equipment_names_array'][0].forEach((currentEquipmentName, equipmentIndex) => {
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let associated_equipment_value = {};
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associated_equipment_value['id'] = equipmentIndex;
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associated_equipment_value['name'] = currentEquipmentName;
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json['associated_equipment']['energy_category_names'].forEach((currentValue, energyCategoryIndex) => {
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associated_equipment_value['a' + energyCategoryIndex] = json['associated_equipment']['subtotals_array'][energyCategoryIndex][equipmentIndex].toFixed(2);
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});
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associated_equipment_value_list.push(associated_equipment_value);
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});
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};
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setAssociatedEquipmentTableData(associated_equipment_value_list);
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let associated_equipment_column_list = [];
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associated_equipment_column_list.push({
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dataField: 'name',
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text: t('Associated Equipment'),
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sort: true
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});
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json['associated_equipment']['energy_category_names'].forEach((currentValue, index) => {
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let unit = json['associated_equipment']['units'][index];
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associated_equipment_column_list.push({
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dataField: 'a' + index,
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text: currentValue + ' (' + unit + ')',
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sort: true
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});
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});
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setAssociatedEquipmentTableColumns(associated_equipment_column_list);
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setExcelBytesBase64(json['excel_bytes_base64']);
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// enable submit button
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@ -625,6 +665,9 @@ const CombinedEquipmentEfficiency = ({ setRedirect, setRedirectUrl, t }) => {
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<br />
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<DetailedDataTable data={detailedDataTableData} title={t('Detailed Data')} columns={detailedDataTableColumns} pagesize={50} >
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</DetailedDataTable>
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<br />
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<AssociatedEquipmentTable data={associatedEquipmentTableData} title={t('Associated Equipment Data')} columns={associatedEquipmentTableColumns}>
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</AssociatedEquipmentTable>
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</Fragment>
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);
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