| Total Complexity | 46 | 
| Total Lines | 465 | 
| Duplicated Lines | 92.47 % | 
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like excelexporters.combinedequipmentenergyitem often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import base64  | 
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| 2 | import uuid  | 
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| 3 | import os  | 
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| 4 | from openpyxl.chart import (  | 
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| 5 | PieChart,  | 
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| 6 | LineChart,  | 
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| 7 | BarChart,  | 
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| 8 | Reference,  | 
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| 9 | )  | 
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| 10 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font  | 
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| 11 | from openpyxl.drawing.image import Image  | 
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| 12 | from openpyxl import Workbook  | 
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| 13 | from openpyxl.chart.label import DataLabelList  | 
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| 14 | |||
| 15 | |||
| 16 | ####################################################################################################################  | 
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| 17 | # PROCEDURES  | 
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| 18 | # Step 1: Validate the report data  | 
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| 19 | # Step 2: Generate excel file  | 
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| 20 | # Step 3: Encode the excel file bytes to Base64  | 
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| 21 | ####################################################################################################################  | 
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| 22 | |||
| 23 | |||
| 24 | View Code Duplication | def export(report,  | 
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| 
                                                                                                    
                        
                         | 
                |||
| 25 | name,  | 
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| 26 | reporting_start_datetime_local,  | 
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| 27 | reporting_end_datetime_local,  | 
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| 28 | period_type):  | 
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| 29 | ####################################################################################################################  | 
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| 30 | # Step 1: Validate the report data  | 
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| 31 | ####################################################################################################################  | 
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| 32 | if report is None:  | 
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| 33 | return None  | 
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| 34 | print(report)  | 
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| 35 | |||
| 36 | ####################################################################################################################  | 
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| 37 | # Step 2: Generate excel file from the report data  | 
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| 38 | ####################################################################################################################  | 
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| 39 | filename = generate_excel(report,  | 
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| 40 | name,  | 
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| 41 | reporting_start_datetime_local,  | 
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| 42 | reporting_end_datetime_local,  | 
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| 43 | period_type)  | 
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| 44 | ####################################################################################################################  | 
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| 45 | # Step 3: Encode the excel file to Base64  | 
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| 46 | ####################################################################################################################  | 
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| 47 | try:  | 
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| 48 | with open(filename, 'rb') as binary_file:  | 
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| 49 | binary_file_data = binary_file.read()  | 
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| 50 | except IOError as ex:  | 
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| 51 | pass  | 
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| 52 | |||
| 53 | # Base64 encode the bytes  | 
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| 54 | base64_encoded_data = base64.b64encode(binary_file_data)  | 
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| 55 | # get the Base64 encoded data using human-readable characters.  | 
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| 56 |     base64_message = base64_encoded_data.decode('utf-8') | 
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| 57 | # delete the file from server  | 
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| 58 | try:  | 
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| 59 | os.remove(filename)  | 
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| 60 | except NotImplementedError as ex:  | 
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| 61 | pass  | 
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| 62 | return base64_message  | 
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| 63 | |||
| 64 | |||
| 65 | View Code Duplication | def generate_excel(report,  | 
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| 66 | name,  | 
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| 67 | reporting_start_datetime_local,  | 
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| 68 | reporting_end_datetime_local,  | 
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| 69 | period_type):  | 
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| 70 | wb = Workbook()  | 
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| 71 | ws = wb.active  | 
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| 72 | |||
| 73 | # Row height  | 
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| 74 | ws.row_dimensions[1].height = 102  | 
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| 75 | for i in range(2, 2000 + 1):  | 
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| 76 | ws.row_dimensions[i].height = 42  | 
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| 77 | |||
| 78 | # Col width  | 
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| 79 | ws.column_dimensions['A'].width = 1.5  | 
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| 80 | |||
| 81 | ws.column_dimensions['B'].width = 25.0  | 
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| 82 | |||
| 83 |     for i in range(ord('C'), ord('L')): | 
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| 84 | ws.column_dimensions[chr(i)].width = 15.0  | 
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| 85 | |||
| 86 | # Font  | 
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| 87 | name_font = Font(name='Constantia', size=15, bold=True)  | 
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| 88 | title_font = Font(name='宋体', size=15, bold=True)  | 
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| 89 | data_font = Font(name='Franklin Gothic Book', size=11)  | 
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| 90 | |||
| 91 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D')  | 
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| 92 | f_border = Border(left=Side(border_style='medium', color='00000000'),  | 
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| 93 | right=Side(border_style='medium', color='00000000'),  | 
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| 94 | bottom=Side(border_style='medium', color='00000000'),  | 
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| 95 | top=Side(border_style='medium', color='00000000')  | 
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| 96 | )  | 
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| 97 | b_border = Border(  | 
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| 98 | bottom=Side(border_style='medium', color='00000000'),  | 
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| 99 | )  | 
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| 100 | |||
| 101 | b_c_alignment = Alignment(vertical='bottom',  | 
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| 102 | horizontal='center',  | 
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| 103 | text_rotation=0,  | 
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| 104 | wrap_text=True,  | 
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| 105 | shrink_to_fit=False,  | 
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| 106 | indent=0)  | 
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| 107 | c_c_alignment = Alignment(vertical='center',  | 
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| 108 | horizontal='center',  | 
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| 109 | text_rotation=0,  | 
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| 110 | wrap_text=True,  | 
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| 111 | shrink_to_fit=False,  | 
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| 112 | indent=0)  | 
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| 113 | b_r_alignment = Alignment(vertical='bottom',  | 
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| 114 | horizontal='right',  | 
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| 115 | text_rotation=0,  | 
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| 116 | wrap_text=True,  | 
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| 117 | shrink_to_fit=False,  | 
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| 118 | indent=0)  | 
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| 119 | c_r_alignment = Alignment(vertical='bottom',  | 
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| 120 | horizontal='center',  | 
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| 121 | text_rotation=0,  | 
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| 122 | wrap_text=True,  | 
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| 123 | shrink_to_fit=False,  | 
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| 124 | indent=0)  | 
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| 125 | # Img  | 
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| 126 |     img = Image("excelexporters/myems.png") | 
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| 127 | img.width = img.width * 0.85  | 
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| 128 | img.height = img.height * 0.85  | 
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| 129 |     # img = Image("myems.png") | 
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| 130 | ws.add_image(img, 'B1')  | 
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| 131 | |||
| 132 | # Title  | 
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| 133 | ws.row_dimensions[3].height = 60  | 
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| 134 | |||
| 135 | ws['B3'].font = name_font  | 
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| 136 | ws['B3'].alignment = b_r_alignment  | 
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| 137 | ws['B3'] = 'Name:'  | 
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| 138 | ws['C3'].border = b_border  | 
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| 139 | ws['C3'].alignment = b_c_alignment  | 
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| 140 | ws['C3'].font = name_font  | 
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| 141 | ws['C3'] = name  | 
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| 142 | |||
| 143 | ws['D3'].font = name_font  | 
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| 144 | ws['D3'].alignment = b_r_alignment  | 
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| 145 | ws['D3'] = 'Period:'  | 
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| 146 | ws['E3'].border = b_border  | 
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| 147 | ws['E3'].alignment = b_c_alignment  | 
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| 148 | ws['E3'].font = name_font  | 
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| 149 | ws['E3'] = period_type  | 
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| 150 | |||
| 151 | ws['F3'].font = name_font  | 
            ||
| 152 | ws['F3'].alignment = b_r_alignment  | 
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| 153 | ws['F3'] = 'Date:'  | 
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| 154 | ws['G3'].border = b_border  | 
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| 155 | ws['G3'].alignment = b_c_alignment  | 
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| 156 | ws['G3'].font = name_font  | 
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| 157 | ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local  | 
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| 158 |     ws.merge_cells("G3:H3") | 
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| 159 | |||
| 160 | if "reporting_period" not in report.keys() or \  | 
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| 161 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:  | 
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| 162 | filename = str(uuid.uuid4()) + '.xlsx'  | 
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| 163 | wb.save(filename)  | 
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| 164 | |||
| 165 | return filename  | 
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| 166 | |||
| 167 | ##################################  | 
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| 168 | |||
| 169 | current_row_number = 6  | 
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| 170 | |||
| 171 | reporting_period_data = report['reporting_period']  | 
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| 172 | |||
| 173 | has_names_data_flag = True  | 
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| 174 | |||
| 175 | if "names" not in reporting_period_data.keys() or \  | 
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| 176 | reporting_period_data['names'] is None or \  | 
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| 177 | len(reporting_period_data['names']) == 0:  | 
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| 178 | has_names_data_flag = False  | 
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| 179 | |||
| 180 | if has_names_data_flag:  | 
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| 181 | ws['B' + str(current_row_number)].font = title_font  | 
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| 182 | ws['B' + str(current_row_number)] = name + ' 报告期消耗'  | 
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| 183 | |||
| 184 | current_row_number += 1  | 
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| 185 | |||
| 186 | category = reporting_period_data['names']  | 
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| 187 | ca_len = len(category)  | 
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| 188 | |||
| 189 | ws.row_dimensions[current_row_number].height = 60  | 
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| 190 | ws['B' + str(current_row_number)].fill = table_fill  | 
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| 191 | ws['B' + str(current_row_number)].border = f_border  | 
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| 192 | |||
| 193 | col = 'C'  | 
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| 194 | |||
| 195 | for i in range(0, ca_len):  | 
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| 196 | ws[col + str(current_row_number)].fill = table_fill  | 
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| 197 | ws[col + str(current_row_number)].font = name_font  | 
            ||
| 198 | ws[col + str(current_row_number)].alignment = c_c_alignment  | 
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| 199 | ws[col + str(current_row_number)].border = f_border  | 
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| 200 | ws[col + str(current_row_number)] = \  | 
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| 201 | reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \  | 
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| 202 |                 " (" + reporting_period_data['units'][i] + ")" | 
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| 203 | |||
| 204 | col = chr(ord(col) + 1)  | 
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| 205 | |||
| 206 | current_row_number += 1  | 
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| 207 | |||
| 208 | ws['B' + str(current_row_number)].font = title_font  | 
            ||
| 209 | ws['B' + str(current_row_number)].alignment = c_c_alignment  | 
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| 210 | ws['B' + str(current_row_number)].border = f_border  | 
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| 211 | ws['B' + str(current_row_number)] = '消耗'  | 
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| 212 | |||
| 213 | col = 'C'  | 
            ||
| 214 | |||
| 215 | for i in range(0, ca_len):  | 
            ||
| 216 | ws[col + str(current_row_number)].font = name_font  | 
            ||
| 217 | ws[col + str(current_row_number)].alignment = c_c_alignment  | 
            ||
| 218 | ws[col + str(current_row_number)].border = f_border  | 
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| 219 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)  | 
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| 220 | |||
| 221 | col = chr(ord(col) + 1)  | 
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| 222 | |||
| 223 | current_row_number += 1  | 
            ||
| 224 | |||
| 225 | # ws['B' + str(current_row_number)].font = title_font  | 
            ||
| 226 | # ws['B' + str(current_row_number)].alignment = c_c_alignment  | 
            ||
| 227 | # ws['B' + str(current_row_number)].border = f_border  | 
            ||
| 228 | # ws['B' + str(current_row_number)] = '单位面积值'  | 
            ||
| 229 | #  | 
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| 230 | # col = 'C'  | 
            ||
| 231 | #  | 
            ||
| 232 | # for i in range(0, ca_len):  | 
            ||
| 233 | # ws[col + str(current_row_number)].font = name_font  | 
            ||
| 234 | # ws[col + str(current_row_number)].alignment = c_c_alignment  | 
            ||
| 235 | # ws[col + str(current_row_number)].border = f_border  | 
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| 236 | # ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area'][i], 2)  | 
            ||
| 237 | #  | 
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| 238 | # col = chr(ord(col) + 1)  | 
            ||
| 239 | #  | 
            ||
| 240 | # current_row_number += 1  | 
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| 241 | |||
| 242 | ws['B' + str(current_row_number)].font = title_font  | 
            ||
| 243 | ws['B' + str(current_row_number)].alignment = c_c_alignment  | 
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| 244 | ws['B' + str(current_row_number)].border = f_border  | 
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| 245 | ws['B' + str(current_row_number)] = '环比'  | 
            ||
| 246 | |||
| 247 | col = 'C'  | 
            ||
| 248 | |||
| 249 | for i in range(0, ca_len):  | 
            ||
| 250 | ws[col + str(current_row_number)].font = name_font  | 
            ||
| 251 | ws[col + str(current_row_number)].alignment = c_c_alignment  | 
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| 252 | ws[col + str(current_row_number)].border = f_border  | 
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| 253 | ws[col + str(current_row_number)] = str(  | 
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| 254 | round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \  | 
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| 255 | if reporting_period_data['increment_rates'][i] is not None else '-'  | 
            ||
| 256 | |||
| 257 | col = chr(ord(col) + 1)  | 
            ||
| 258 | |||
| 259 | current_row_number += 2  | 
            ||
| 260 | |||
| 261 | category_dict = group_by_category(reporting_period_data['energy_category_names'])  | 
            ||
| 262 | |||
| 263 | for category_dict_name, category_dict_values in category_dict.items():  | 
            ||
| 264 | |||
| 265 | ws['B' + str(current_row_number)].font = title_font  | 
            ||
| 266 | ws['B' + str(current_row_number)] = \  | 
            ||
| 267 |                 name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \ | 
            ||
| 268 | ') 分项消耗占比'  | 
            ||
| 269 | |||
| 270 | current_row_number += 1  | 
            ||
| 271 | table_start_row_number = current_row_number  | 
            ||
| 272 | |||
| 273 | ws['B' + str(current_row_number)].fill = table_fill  | 
            ||
| 274 | ws['B' + str(current_row_number)].border = f_border  | 
            ||
| 275 | |||
| 276 | ws['C' + str(current_row_number)].font = name_font  | 
            ||
| 277 | ws['C' + str(current_row_number)].fill = table_fill  | 
            ||
| 278 | ws['C' + str(current_row_number)].alignment = c_c_alignment  | 
            ||
| 279 | ws['C' + str(current_row_number)].border = f_border  | 
            ||
| 280 | ws['C' + str(current_row_number)] = '消耗'  | 
            ||
| 281 | |||
| 282 | current_row_number += 1  | 
            ||
| 283 | |||
| 284 | for i in category_dict_values:  | 
            ||
| 285 | ws['B' + str(current_row_number)].font = title_font  | 
            ||
| 286 | ws['B' + str(current_row_number)].alignment = c_c_alignment  | 
            ||
| 287 | ws['B' + str(current_row_number)].border = f_border  | 
            ||
| 288 | ws['B' + str(current_row_number)] = \  | 
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| 289 |                     reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" | 
            ||
| 290 | ws['C' + str(current_row_number)].font = name_font  | 
            ||
| 291 | ws['C' + str(current_row_number)].alignment = c_c_alignment  | 
            ||
| 292 | ws['C' + str(current_row_number)].border = f_border  | 
            ||
| 293 | ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 3)  | 
            ||
| 294 | |||
| 295 | current_row_number += 1  | 
            ||
| 296 | |||
| 297 | table_end_row_number = current_row_number - 1  | 
            ||
| 298 | |||
| 299 | pie = PieChart()  | 
            ||
| 300 | pie.title = \  | 
            ||
| 301 |                 name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \ | 
            ||
| 302 | ') 分项消耗占比'  | 
            ||
| 303 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)  | 
            ||
| 304 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number)  | 
            ||
| 305 | pie.add_data(pie_data, titles_from_data=True)  | 
            ||
| 306 | pie.set_categories(labels)  | 
            ||
| 307 | pie.height = 6.6  | 
            ||
| 308 | pie.width = 9  | 
            ||
| 309 | s1 = pie.series[0]  | 
            ||
| 310 | s1.dLbls = DataLabelList()  | 
            ||
| 311 | s1.dLbls.showCatName = False  | 
            ||
| 312 | s1.dLbls.showVal = True  | 
            ||
| 313 | s1.dLbls.showPercent = True  | 
            ||
| 314 | ws.add_chart(pie, 'D' + str(table_start_row_number))  | 
            ||
| 315 | |||
| 316 | if len(category_dict_values) < 4:  | 
            ||
| 317 | current_row_number = current_row_number - len(category_dict_values) + 4  | 
            ||
| 318 | |||
| 319 | current_row_number += 1  | 
            ||
| 320 | |||
| 321 | #####################################  | 
            ||
| 322 | |||
| 323 | has_values_data = True  | 
            ||
| 324 | has_timestamps_data = True  | 
            ||
| 325 | |||
| 326 | if 'values' not in reporting_period_data.keys() or \  | 
            ||
| 327 | reporting_period_data['values'] is None or \  | 
            ||
| 328 | len(reporting_period_data['values']) == 0:  | 
            ||
| 329 | has_values_data = False  | 
            ||
| 330 | |||
| 331 | if 'timestamps' not in reporting_period_data.keys() or \  | 
            ||
| 332 | reporting_period_data['timestamps'] is None or \  | 
            ||
| 333 | len(reporting_period_data['timestamps']) == 0 or \  | 
            ||
| 334 | 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 |