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import base64 |
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import uuid |
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import os |
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from openpyxl.chart import ( |
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PieChart, |
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LineChart, |
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BarChart, |
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Reference, |
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) |
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from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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from openpyxl.drawing.image import Image |
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from openpyxl import Workbook |
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from openpyxl.chart.label import DataLabelList |
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#################################################################################################################### |
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# PROCEDURES |
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# Step 1: Validate the report data |
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# Step 2: Generate excel file |
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# Step 3: Encode the excel file bytes to Base64 |
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#################################################################################################################### |
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def export(report, |
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name, |
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reporting_start_datetime_local, |
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reporting_end_datetime_local, |
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period_type): |
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#################################################################################################################### |
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# Step 1: Validate the report data |
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#################################################################################################################### |
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if report is None: |
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return None |
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print(report) |
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#################################################################################################################### |
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# Step 2: Generate excel file from the report data |
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#################################################################################################################### |
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filename = generate_excel(report, |
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name, |
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reporting_start_datetime_local, |
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reporting_end_datetime_local, |
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period_type) |
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#################################################################################################################### |
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# Step 3: Encode the excel file to Base64 |
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#################################################################################################################### |
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try: |
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with open(filename, 'rb') as binary_file: |
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binary_file_data = binary_file.read() |
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except IOError as ex: |
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pass |
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# Base64 encode the bytes |
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base64_encoded_data = base64.b64encode(binary_file_data) |
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# get the Base64 encoded data using human-readable characters. |
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base64_message = base64_encoded_data.decode('utf-8') |
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# delete the file from server |
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try: |
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os.remove(filename) |
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except NotImplementedError as ex: |
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pass |
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return base64_message |
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View Code Duplication |
def generate_excel(report, |
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name, |
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reporting_start_datetime_local, |
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reporting_end_datetime_local, |
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period_type): |
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wb = Workbook() |
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ws = wb.active |
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# Row height |
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ws.row_dimensions[1].height = 102 |
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for i in range(2, 2000 + 1): |
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ws.row_dimensions[i].height = 42 |
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# Col width |
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ws.column_dimensions['A'].width = 1.5 |
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ws.column_dimensions['B'].width = 25.0 |
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for i in range(ord('C'), ord('L')): |
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ws.column_dimensions[chr(i)].width = 15.0 |
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# Font |
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name_font = Font(name='Constantia', size=15, bold=True) |
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title_font = Font(name='宋体', size=15, bold=True) |
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data_font = Font(name='Franklin Gothic Book', size=11) |
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table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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f_border = Border(left=Side(border_style='medium', color='00000000'), |
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right=Side(border_style='medium', color='00000000'), |
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bottom=Side(border_style='medium', color='00000000'), |
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top=Side(border_style='medium', color='00000000') |
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) |
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b_border = Border( |
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bottom=Side(border_style='medium', color='00000000'), |
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) |
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b_c_alignment = Alignment(vertical='bottom', |
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horizontal='center', |
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text_rotation=0, |
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wrap_text=True, |
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shrink_to_fit=False, |
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indent=0) |
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c_c_alignment = Alignment(vertical='center', |
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horizontal='center', |
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text_rotation=0, |
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wrap_text=True, |
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shrink_to_fit=False, |
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indent=0) |
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b_r_alignment = Alignment(vertical='bottom', |
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horizontal='right', |
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text_rotation=0, |
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wrap_text=True, |
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shrink_to_fit=False, |
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indent=0) |
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c_r_alignment = Alignment(vertical='bottom', |
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horizontal='center', |
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text_rotation=0, |
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wrap_text=True, |
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shrink_to_fit=False, |
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indent=0) |
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# Img |
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img = Image("excelexporters/myems.png") |
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img.width = img.width * 0.85 |
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img.height = img.height * 0.85 |
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# img = Image("myems.png") |
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ws.add_image(img, 'B1') |
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# Title |
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ws.row_dimensions[3].height = 60 |
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ws['B3'].font = name_font |
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ws['B3'].alignment = b_r_alignment |
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ws['B3'] = 'Name:' |
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ws['C3'].border = b_border |
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ws['C3'].alignment = b_c_alignment |
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ws['C3'].font = name_font |
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ws['C3'] = name |
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ws['D3'].font = name_font |
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ws['D3'].alignment = b_r_alignment |
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ws['D3'] = 'Period:' |
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ws['E3'].border = b_border |
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ws['E3'].alignment = b_c_alignment |
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ws['E3'].font = name_font |
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ws['E3'] = period_type |
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ws['F3'].font = name_font |
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ws['F3'].alignment = b_r_alignment |
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ws['F3'] = 'Date:' |
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ws['G3'].border = b_border |
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ws['G3'].alignment = b_c_alignment |
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ws['G3'].font = name_font |
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ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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ws.merge_cells("G3:H3") |
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if "reporting_period" not in report.keys() or \ |
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"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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filename = str(uuid.uuid4()) + '.xlsx' |
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wb.save(filename) |
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return filename |
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################################## |
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current_row_number = 6 |
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reporting_period_data = report['reporting_period'] |
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has_names_data_flag = True |
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if "names" not in reporting_period_data.keys() or \ |
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reporting_period_data['names'] is None or \ |
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len(reporting_period_data['names']) == 0: |
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has_names_data_flag = False |
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if has_names_data_flag: |
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ws['B' + str(current_row_number)].font = title_font |
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ws['B' + str(current_row_number)] = name + ' 报告期消耗' |
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current_row_number += 1 |
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category = reporting_period_data['names'] |
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ca_len = len(category) |
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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)].border = f_border |
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col = 'C' |
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for i in range(0, ca_len): |
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ws[col + str(current_row_number)].fill = table_fill |
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ws[col + str(current_row_number)].font = name_font |
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ws[col + str(current_row_number)].alignment = c_c_alignment |
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ws[col + str(current_row_number)].border = f_border |
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ws[col + str(current_row_number)] = \ |
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reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \ |
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" (" + reporting_period_data['units'][i] + ")" |
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col = chr(ord(col) + 1) |
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current_row_number += 1 |
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ws['B' + str(current_row_number)].font = title_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)] = '消耗' |
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col = 'C' |
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for i in range(0, ca_len): |
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ws[col + str(current_row_number)].font = name_font |
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ws[col + str(current_row_number)].alignment = c_c_alignment |
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ws[col + str(current_row_number)].border = f_border |
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ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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col = chr(ord(col) + 1) |
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current_row_number += 1 |
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ws['B' + str(current_row_number)].font = title_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)] = '单位面积值' |
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col = 'C' |
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for i in range(0, ca_len): |
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ws[col + str(current_row_number)].font = name_font |
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ws[col + str(current_row_number)].alignment = c_c_alignment |
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ws[col + str(current_row_number)].border = f_border |
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ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area'][i], 2) |
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col = chr(ord(col) + 1) |
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current_row_number += 1 |
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ws['B' + str(current_row_number)].font = title_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)] = '环比' |
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col = 'C' |
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for i in range(0, ca_len): |
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ws[col + str(current_row_number)].font = name_font |
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ws[col + str(current_row_number)].alignment = c_c_alignment |
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ws[col + str(current_row_number)].border = f_border |
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ws[col + str(current_row_number)] = str( |
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round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \ |
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if reporting_period_data['increment_rates'][i] is not None else '-' |
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col = chr(ord(col) + 1) |
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current_row_number += 2 |
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category_dict = group_by_category(reporting_period_data['energy_category_names']) |
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for category_dict_name, category_dict_values in category_dict.items(): |
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ws['B' + str(current_row_number)].font = title_font |
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ws['B' + str(current_row_number)] = \ |
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name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \ |
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') 分项消耗占比' |
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current_row_number += 1 |
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table_start_row_number = current_row_number |
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ws['B' + str(current_row_number)].fill = table_fill |
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ws['B' + str(current_row_number)].border = f_border |
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ws['C' + str(current_row_number)].font = name_font |
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ws['C' + str(current_row_number)].fill = table_fill |
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ws['C' + str(current_row_number)].alignment = c_c_alignment |
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ws['C' + str(current_row_number)].border = f_border |
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ws['C' + str(current_row_number)] = '消耗' |
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current_row_number += 1 |
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for i in category_dict_values: |
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ws['B' + str(current_row_number)].font = title_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)] = \ |
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reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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ws['C' + str(current_row_number)].font = name_font |
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ws['C' + str(current_row_number)].alignment = c_c_alignment |
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ws['C' + str(current_row_number)].border = f_border |
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ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 3) |
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current_row_number += 1 |
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table_end_row_number = current_row_number - 1 |
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pie = PieChart() |
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pie.title = \ |
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name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \ |
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') 分项消耗占比' |
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labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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pie.add_data(pie_data, titles_from_data=True) |
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pie.set_categories(labels) |
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pie.height = 6.6 |
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pie.width = 9 |
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s1 = pie.series[0] |
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s1.dLbls = DataLabelList() |
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s1.dLbls.showCatName = False |
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s1.dLbls.showVal = True |
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s1.dLbls.showPercent = True |
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ws.add_chart(pie, 'D' + str(table_start_row_number)) |
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if len(category_dict_values) < 4: |
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current_row_number = current_row_number - len(category_dict_values) + 4 |
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current_row_number += 1 |
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321
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####################### |
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has_values_data = True |
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has_timestamps_data = True |
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if 'values' not in reporting_period_data.keys() or \ |
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reporting_period_data['values'] is None or \ |
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len(reporting_period_data['values']) == 0: |
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has_values_data = False |
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if 'timestamps' not in reporting_period_data.keys() or \ |
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reporting_period_data['timestamps'] is None or \ |
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len(reporting_period_data['timestamps']) == 0 or \ |
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len(reporting_period_data['timestamps'][0]) == 0: |
335
|
|
|
has_timestamps_data = False |
336
|
|
|
|
337
|
|
|
if has_values_data and has_timestamps_data: |
338
|
|
|
ca_len = len(reporting_period_data['names']) |
339
|
|
|
time = reporting_period_data['timestamps'][0] |
340
|
|
|
|
341
|
|
|
ws['B' + str(current_row_number)].font = title_font |
342
|
|
|
ws['B' + str(current_row_number)] = name + ' 详细数据' |
343
|
|
|
|
344
|
|
|
current_row_number += 1 |
345
|
|
|
|
346
|
|
|
chart_start_row_number = current_row_number |
347
|
|
|
|
348
|
|
|
current_row_number += ca_len * 6 |
349
|
|
|
table_start_row_number = current_row_number |
350
|
|
|
|
351
|
|
|
ws.row_dimensions[current_row_number].height = 60 |
352
|
|
|
ws['B' + str(current_row_number)].fill = table_fill |
353
|
|
|
ws['B' + str(current_row_number)].font = title_font |
354
|
|
|
ws['B' + str(current_row_number)].alignment = c_c_alignment |
355
|
|
|
ws['B' + str(current_row_number)].border = f_border |
356
|
|
|
ws['B' + str(current_row_number)] = '日期时间' |
357
|
|
|
|
358
|
|
|
col = 'C' |
359
|
|
|
|
360
|
|
|
for i in range(0, ca_len): |
361
|
|
|
ws[col + str(current_row_number)].fill = table_fill |
362
|
|
|
ws[col + str(current_row_number)].font = title_font |
363
|
|
|
ws[col + str(current_row_number)].alignment = c_c_alignment |
364
|
|
|
ws[col + str(current_row_number)].border = f_border |
365
|
|
|
ws[col + str(current_row_number)] = \ |
366
|
|
|
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
367
|
|
|
col = chr(ord(col) + 1) |
368
|
|
|
|
369
|
|
|
current_row_number += 1 |
370
|
|
|
|
371
|
|
|
for i in range(0, len(time)): |
372
|
|
|
ws['B' + str(current_row_number)].font = title_font |
373
|
|
|
ws['B' + str(current_row_number)].alignment = c_c_alignment |
374
|
|
|
ws['B' + str(current_row_number)].border = f_border |
375
|
|
|
ws['B' + str(current_row_number)] = time[i] |
376
|
|
|
|
377
|
|
|
col = 'C' |
378
|
|
|
for j in range(0, ca_len): |
379
|
|
|
ws[col + str(current_row_number)].font = title_font |
380
|
|
|
ws[col + str(current_row_number)].alignment = c_c_alignment |
381
|
|
|
ws[col + str(current_row_number)].border = f_border |
382
|
|
|
ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \ |
383
|
|
|
if reporting_period_data['values'][j][i] is not None else 0.00 |
384
|
|
|
col = chr(ord(col) + 1) |
385
|
|
|
|
386
|
|
|
current_row_number += 1 |
387
|
|
|
|
388
|
|
|
table_end_row_number = current_row_number - 1 |
389
|
|
|
|
390
|
|
|
ws['B' + str(current_row_number)].font = title_font |
391
|
|
|
ws['B' + str(current_row_number)].alignment = c_c_alignment |
392
|
|
|
ws['B' + str(current_row_number)].border = f_border |
393
|
|
|
ws['B' + str(current_row_number)] = '小计' |
394
|
|
|
|
395
|
|
|
col = 'C' |
396
|
|
|
|
397
|
|
|
for i in range(0, ca_len): |
398
|
|
|
ws[col + str(current_row_number)].font = title_font |
399
|
|
|
ws[col + str(current_row_number)].alignment = c_c_alignment |
400
|
|
|
ws[col + str(current_row_number)].border = f_border |
401
|
|
|
ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
402
|
|
|
col = chr(ord(col) + 1) |
403
|
|
|
|
404
|
|
|
current_row_number += 2 |
405
|
|
|
|
406
|
|
|
format_time_width_number = 1.0 |
407
|
|
|
min_len_number = 1.0 |
408
|
|
|
min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0 |
409
|
|
|
|
410
|
|
|
if period_type == 'hourly': |
411
|
|
|
format_time_width_number = 4.0 |
412
|
|
|
min_len_number = 2 |
413
|
|
|
min_width_number = 12.0 |
414
|
|
|
elif period_type == 'daily': |
415
|
|
|
format_time_width_number = 2.5 |
416
|
|
|
min_len_number = 4 |
417
|
|
|
min_width_number = 14.0 |
418
|
|
|
elif period_type == 'monthly': |
419
|
|
|
format_time_width_number = 2.1 |
420
|
|
|
min_len_number = 4 |
421
|
|
|
min_width_number = 12.4 |
422
|
|
|
elif period_type == 'yearly': |
423
|
|
|
format_time_width_number = 1.5 |
424
|
|
|
min_len_number = 5 |
425
|
|
|
min_width_number = 11.5 |
426
|
|
|
|
427
|
|
|
for i in range(0, ca_len): |
428
|
|
|
line = LineChart() |
429
|
|
|
line.title = '报告期消耗 - ' + \ |
430
|
|
|
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
431
|
|
|
labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
432
|
|
|
line_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number) |
433
|
|
|
line.add_data(line_data, titles_from_data=True) |
434
|
|
|
line.set_categories(labels) |
435
|
|
|
line_data = line.series[0] |
436
|
|
|
line_data.marker.symbol = "circle" |
437
|
|
|
line_data.smooth = True |
438
|
|
|
line.x_axis.crosses = 'min' |
439
|
|
|
line.height = 8.25 |
440
|
|
|
line.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number |
441
|
|
|
if line.width > 24: |
442
|
|
|
line.width = 24 |
443
|
|
|
line.dLbls = DataLabelList() |
444
|
|
|
line.dLbls.dLblPos = 't' |
445
|
|
|
line.dLbls.showVal = True |
446
|
|
|
line.dLbls.showPercent = False |
447
|
|
|
chart_col = 'B' |
448
|
|
|
chart_cell = chart_col + str(chart_start_row_number) |
449
|
|
|
chart_start_row_number += 6 |
450
|
|
|
ws.add_chart(line, chart_cell) |
451
|
|
|
|
452
|
|
|
filename = str(uuid.uuid4()) + '.xlsx' |
453
|
|
|
wb.save(filename) |
454
|
|
|
|
455
|
|
|
return filename |
456
|
|
|
|
457
|
|
|
|
458
|
|
|
def group_by_category(category_list): |
459
|
|
|
category_dict = dict() |
460
|
|
|
for i, value in enumerate(category_list): |
461
|
|
|
if value not in category_dict.keys(): |
462
|
|
|
category_dict[value] = list() |
463
|
|
|
category_dict[value].append(i) |
464
|
|
|
return category_dict |
465
|
|
|
|