myems /
myems-api
| Total Complexity | 56 |
| Total Lines | 508 |
| Duplicated Lines | 28.94 % |
| 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.spaceenergyitem 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 | BarChart, |
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| 7 | Reference, |
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| 8 | ) |
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| 9 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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| 10 | from openpyxl.drawing.image import Image |
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| 11 | from openpyxl import Workbook |
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| 12 | from openpyxl.chart.label import DataLabelList |
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| 13 | |||
| 14 | |||
| 15 | #################################################################################################################### |
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| 16 | # PROCEDURES |
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| 17 | # Step 1: Validate the report data |
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| 18 | # Step 2: Generate excel file |
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| 19 | # Step 3: Encode the excel file bytes to Base64 |
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| 20 | #################################################################################################################### |
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| 21 | |||
| 22 | |||
| 23 | View Code Duplication | def export(report, |
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Duplication
introduced
by
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| 24 | name, |
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| 25 | reporting_start_datetime_local, |
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| 26 | reporting_end_datetime_local, |
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| 27 | period_type): |
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| 28 | #################################################################################################################### |
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| 29 | # Step 1: Validate the report data |
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| 30 | #################################################################################################################### |
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| 31 | if report is None: |
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| 32 | return None |
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| 33 | print(report) |
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| 34 | |||
| 35 | #################################################################################################################### |
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| 36 | # Step 2: Generate excel file from the report data |
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| 37 | #################################################################################################################### |
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| 38 | filename = generate_excel(report, |
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| 39 | name, |
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| 40 | reporting_start_datetime_local, |
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| 41 | reporting_end_datetime_local, |
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| 42 | period_type) |
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| 43 | #################################################################################################################### |
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| 44 | # Step 3: Encode the excel file to Base64 |
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| 45 | #################################################################################################################### |
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| 46 | try: |
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| 47 | with open(filename, 'rb') as binary_file: |
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| 48 | binary_file_data = binary_file.read() |
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| 49 | except IOError as ex: |
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| 50 | pass |
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| 51 | |||
| 52 | # Base64 encode the bytes |
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| 53 | base64_encoded_data = base64.b64encode(binary_file_data) |
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| 54 | # get the Base64 encoded data using human-readable characters. |
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| 55 | base64_message = base64_encoded_data.decode('utf-8') |
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| 56 | # delete the file from server |
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| 57 | try: |
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| 58 | os.remove(filename) |
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| 59 | except NotImplementedError as ex: |
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| 60 | pass |
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| 61 | return base64_message |
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| 62 | |||
| 63 | |||
| 64 | def generate_excel(report, |
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| 65 | name, |
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| 66 | reporting_start_datetime_local, |
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| 67 | reporting_end_datetime_local, |
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| 68 | period_type): |
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| 69 | wb = Workbook() |
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| 70 | ws = wb.active |
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| 71 | |||
| 72 | # Row height |
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| 73 | ws.row_dimensions[1].height = 102 |
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| 74 | for i in range(2, 2000 + 1): |
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| 75 | ws.row_dimensions[i].height = 30 |
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| 76 | |||
| 77 | # Col width |
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| 78 | ws.column_dimensions['A'].width = 1.5 |
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| 79 | |||
| 80 | ws.column_dimensions['B'].width = 25.0 |
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| 81 | |||
| 82 | for i in range(ord('C'), ord('L')): |
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| 83 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 84 | |||
| 85 | # Font |
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| 86 | name_font = Font(name='Constantia', size=15, bold=True) |
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| 87 | name_small_font = Font(name='Constantia', size=10, bold=True) |
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| 88 | title_font = Font(name='宋体', size=15, bold=True) |
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| 89 | title_small_font = Font(name='宋体', size=10, bold=True) |
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| 90 | data_font = Font(name='Franklin Gothic Book', size=11) |
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| 91 | |||
| 92 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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| 93 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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| 94 | right=Side(border_style='medium', color='00000000'), |
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| 95 | bottom=Side(border_style='medium', color='00000000'), |
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| 96 | top=Side(border_style='medium', color='00000000') |
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| 97 | ) |
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| 98 | b_border = Border( |
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| 99 | bottom=Side(border_style='medium', color='00000000'), |
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| 100 | ) |
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| 101 | |||
| 102 | b_c_alignment = Alignment(vertical='bottom', |
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| 103 | horizontal='center', |
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| 104 | text_rotation=0, |
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| 105 | wrap_text=False, |
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| 106 | shrink_to_fit=False, |
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| 107 | indent=0) |
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| 108 | c_c_alignment = Alignment(vertical='center', |
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| 109 | horizontal='center', |
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| 110 | text_rotation=0, |
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| 111 | wrap_text=False, |
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| 112 | shrink_to_fit=False, |
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| 113 | indent=0) |
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| 114 | b_r_alignment = Alignment(vertical='bottom', |
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| 115 | horizontal='right', |
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| 116 | text_rotation=0, |
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| 117 | wrap_text=False, |
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| 118 | shrink_to_fit=False, |
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| 119 | indent=0) |
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| 120 | c_r_alignment = Alignment(vertical='bottom', |
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| 121 | horizontal='center', |
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| 122 | text_rotation=0, |
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| 123 | wrap_text=False, |
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| 124 | shrink_to_fit=False, |
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| 125 | indent=0) |
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| 126 | # Img |
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| 127 | img = Image("excelexporters/myems.png") |
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| 128 | img.width = img.width * 0.85 |
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| 129 | img.height = img.height * 0.85 |
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| 130 | # img = Image("myems.png") |
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| 131 | ws.add_image(img, 'B1') |
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| 132 | |||
| 133 | # Title |
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| 134 | ws.merge_cells('B3:I3') |
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| 135 | ws['B3'].font = name_font |
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| 136 | ws['B3'].alignment = b_c_alignment |
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| 137 | ws['B3'] = 'Name: ' + name + ' Period: ' + period_type + \ |
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| 138 | ' Date: ' + reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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| 139 | |||
| 140 | if "reporting_period" not in report.keys() or \ |
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| 141 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 142 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 143 | wb.save(filename) |
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| 144 | |||
| 145 | return filename |
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| 146 | |||
| 147 | ################################## |
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| 148 | |||
| 149 | current_row_number = 6 |
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| 150 | |||
| 151 | reporting_period_data = report['reporting_period'] |
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| 152 | |||
| 153 | has_names_data_flag = True |
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| 154 | |||
| 155 | if "names" not in reporting_period_data.keys() or \ |
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| 156 | reporting_period_data['names'] is None or \ |
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| 157 | len(reporting_period_data['names']) == 0: |
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| 158 | has_names_data_flag = False |
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| 159 | |||
| 160 | if has_names_data_flag: |
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| 161 | ws['B' + str(current_row_number)].font = title_font |
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| 162 | ws['B' + str(current_row_number)] = name + ' 报告期消耗' |
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| 163 | |||
| 164 | current_row_number += 1 |
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| 165 | |||
| 166 | category = reporting_period_data['names'] |
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| 167 | ca_len = len(category) |
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| 168 | |||
| 169 | ws['B' + str(current_row_number)].fill = table_fill |
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| 170 | |||
| 171 | col = 'C' |
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| 172 | |||
| 173 | for i in range(0, ca_len): |
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| 174 | ws[col + str(current_row_number)].fill = table_fill |
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| 175 | ws[col + str(current_row_number)].font = name_small_font |
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| 176 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 177 | ws[col + str(current_row_number)].border = f_border |
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| 178 | ws[col + str(current_row_number)] = \ |
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| 179 | reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \ |
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| 180 | " (" + reporting_period_data['units'][i] + ")" |
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| 181 | |||
| 182 | col = chr(ord(col) + 1) |
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| 183 | |||
| 184 | current_row_number += 1 |
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| 185 | |||
| 186 | ws['B' + str(current_row_number)].font = title_font |
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| 187 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 188 | ws['B' + str(current_row_number)].border = f_border |
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| 189 | ws['B' + str(current_row_number)] = '消耗' |
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| 190 | |||
| 191 | col = 'C' |
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| 192 | |||
| 193 | for i in range(0, ca_len): |
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| 194 | ws[col + str(current_row_number)].font = name_font |
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| 195 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 196 | ws[col + str(current_row_number)].border = f_border |
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| 197 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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| 198 | |||
| 199 | col = chr(ord(col) + 1) |
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| 200 | |||
| 201 | current_row_number += 1 |
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| 202 | |||
| 203 | ws['B' + str(current_row_number)].font = title_font |
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| 204 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 205 | ws['B' + str(current_row_number)].border = f_border |
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| 206 | ws['B' + str(current_row_number)] = '单位面积值' |
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| 207 | |||
| 208 | col = 'C' |
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| 209 | |||
| 210 | for i in range(0, ca_len): |
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| 211 | ws[col + str(current_row_number)].font = name_font |
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| 212 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 213 | ws[col + str(current_row_number)].border = f_border |
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| 214 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area'][i], 2) |
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| 215 | |||
| 216 | col = chr(ord(col) + 1) |
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| 217 | |||
| 218 | current_row_number += 1 |
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| 219 | |||
| 220 | ws['B' + str(current_row_number)].font = title_font |
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| 221 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 222 | ws['B' + str(current_row_number)].border = f_border |
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| 223 | ws['B' + str(current_row_number)] = '环比' |
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| 224 | |||
| 225 | col = 'C' |
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| 226 | |||
| 227 | for i in range(0, ca_len): |
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| 228 | ws[col + str(current_row_number)].font = name_font |
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| 229 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 230 | ws[col + str(current_row_number)].border = f_border |
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| 231 | ws[col + str(current_row_number)] = str( |
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| 232 | round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \ |
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| 233 | if reporting_period_data['increment_rates'][i] is not None else '-' |
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| 234 | |||
| 235 | col = chr(ord(col) + 1) |
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| 236 | |||
| 237 | current_row_number += 2 |
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| 238 | |||
| 239 | category_dict = group_by_category(reporting_period_data['energy_category_names']) |
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| 240 | |||
| 241 | for category_dict_name, category_dict_values in category_dict.items(): |
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| 242 | |||
| 243 | ws['B' + str(current_row_number)].font = title_font |
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| 244 | ws['B' + str(current_row_number)] = '(' + category_dict_name + ') 分项消耗占比' |
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| 245 | |||
| 246 | current_row_number += 1 |
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| 247 | table_start_row_number = current_row_number |
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| 248 | |||
| 249 | ws['B' + str(current_row_number)].fill = table_fill |
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| 250 | |||
| 251 | ws['C' + str(current_row_number)].font = name_small_font |
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| 252 | ws['C' + str(current_row_number)].fill = table_fill |
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| 253 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 254 | ws['C' + str(current_row_number)].border = f_border |
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| 255 | ws['C' + str(current_row_number)] = '消耗' |
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| 256 | |||
| 257 | current_row_number += 1 |
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| 258 | |||
| 259 | for i in category_dict_values: |
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| 260 | ws['B' + str(current_row_number)].font = title_font |
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| 261 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 262 | ws['B' + str(current_row_number)].border = f_border |
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| 263 | ws['B' + str(current_row_number)] = \ |
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| 264 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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| 265 | ws['C' + str(current_row_number)].font = name_font |
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| 266 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 267 | ws['C' + str(current_row_number)].border = f_border |
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| 268 | ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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| 269 | |||
| 270 | current_row_number += 1 |
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| 271 | |||
| 272 | table_end_row_number = current_row_number - 1 |
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| 273 | |||
| 274 | pie = PieChart() |
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| 275 | pie.title = '(' + category_dict_name + ') 分项消耗占比' |
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| 276 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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| 277 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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| 278 | pie.add_data(pie_data, titles_from_data=True) |
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| 279 | pie.set_categories(labels) |
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| 280 | pie.height = 5.25 |
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| 281 | pie.width = 9 |
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| 282 | s1 = pie.series[0] |
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| 283 | s1.dLbls = DataLabelList() |
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| 284 | s1.dLbls.showCatName = False |
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| 285 | s1.dLbls.showVal = True |
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| 286 | s1.dLbls.showPercent = True |
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| 287 | ws.add_chart(pie, 'D' + str(table_start_row_number)) |
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| 288 | |||
| 289 | if len(category_dict_values) < 4: |
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| 290 | current_row_number = current_row_number - len(category_dict_values) + 4 |
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| 291 | |||
| 292 | current_row_number += 1 |
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| 293 | |||
| 294 | ##################################### |
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| 295 | |||
| 296 | has_child_flag = True |
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| 297 | if "child_space" not in report.keys() or "energy_item_names" not in report['child_space'].keys() or \ |
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| 298 | len(report['child_space']["energy_item_names"]) == 0: |
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| 299 | has_child_flag = False |
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| 300 | |||
| 301 | if has_child_flag: |
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| 302 | child = report['child_space'] |
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| 303 | |||
| 304 | ws['B' + str(current_row_number)].font = title_font |
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| 305 | ws['B' + str(current_row_number)] = name + ' 子空间数据' |
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| 306 | |||
| 307 | current_row_number += 1 |
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| 308 | |||
| 309 | ws['B' + str(current_row_number)].fill = table_fill |
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| 310 | ws['B' + str(current_row_number)].border = f_border |
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| 311 | ca_len = len(child['energy_item_names']) |
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| 312 | |||
| 313 | for i in range(0, ca_len): |
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| 314 | row = chr(ord('C') + i) |
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| 315 | ws[row + str(current_row_number)].fill = table_fill |
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| 316 | ws[row + str(current_row_number)].font = name_small_font |
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| 317 | ws[row + str(current_row_number)].alignment = c_c_alignment |
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| 318 | ws[row + str(current_row_number)].border = f_border |
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| 319 | ws[row + str(current_row_number)] = \ |
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| 320 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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| 321 | |||
| 322 | space_len = len(child['child_space_names_array'][0]) |
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| 323 | |||
| 324 | for i in range(0, space_len): |
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| 325 | current_row_number += 1 |
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| 326 | row = str(current_row_number) |
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| 327 | |||
| 328 | ws['B' + row].font = name_font |
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| 329 | ws['B' + row].alignment = c_c_alignment |
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| 330 | ws['B' + row] = child['child_space_names_array'][0][i] |
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| 331 | ws['B' + row].border = f_border |
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| 332 | |||
| 333 | for j in range(0, ca_len): |
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| 334 | col = chr(ord('C') + j) |
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| 335 | ws[col + row].font = name_font |
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| 336 | ws[col + row].alignment = c_c_alignment |
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| 337 | ws[col + row] = child['subtotals_array'][j][i] |
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| 338 | ws[col + row].border = f_border |
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| 339 | |||
| 340 | current_row_number += 1 |
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| 341 | |||
| 342 | # Pie |
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| 343 | for i in range(0, ca_len): |
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| 344 | pie = PieChart() |
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| 345 | labels = Reference(ws, min_col=2, min_row=current_row_number - space_len, |
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| 346 | max_row=current_row_number - 1) |
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| 347 | pie_data = Reference(ws, min_col=3 + i, min_row=current_row_number - space_len - 1, |
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| 348 | max_row=current_row_number - 1) |
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| 349 | pie.add_data(pie_data, titles_from_data=True) |
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| 350 | pie.set_categories(labels) |
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| 351 | pie.height = 5.85 |
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| 352 | pie.width = 8 |
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| 353 | col = chr(ord('C') + i) |
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| 354 | pie.title = ws[col + str(current_row_number - space_len - 1)].value |
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| 355 | s1 = pie.series[0] |
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| 356 | s1.dLbls = DataLabelList() |
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| 357 | s1.dLbls.showCatName = False |
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| 358 | s1.dLbls.showVal = True |
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| 359 | s1.dLbls.showPercent = True |
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| 360 | chart_cell = '' |
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| 361 | if i % 2 == 0: |
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| 362 | chart_cell = 'B' + str(current_row_number) |
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| 363 | else: |
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| 364 | chart_cell = 'E' + str(current_row_number) |
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| 365 | current_row_number += 6 |
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| 366 | ws.add_chart(pie, chart_cell) |
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| 367 | |||
| 368 | current_row_number += 7 |
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| 369 | |||
| 370 | ####################### |
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| 371 | |||
| 372 | has_values_data = True |
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| 373 | has_timestamps_data = True |
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| 374 | |||
| 375 | if 'values' not in reporting_period_data.keys() or \ |
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| 376 | reporting_period_data['values'] is None or \ |
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| 377 | len(reporting_period_data['values']) == 0: |
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| 378 | has_values_data = False |
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| 379 | |||
| 380 | if 'timestamps' not in reporting_period_data.keys() or \ |
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| 381 | reporting_period_data['timestamps'] is None or \ |
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| 382 | len(reporting_period_data['timestamps']) == 0 or \ |
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| 383 | len(reporting_period_data['timestamps'][0]) == 0: |
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| 384 | has_timestamps_data = False |
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| 385 | |||
| 386 | View Code Duplication | if has_values_data and has_timestamps_data: |
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| 387 | ca_len = len(reporting_period_data['names']) |
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| 388 | time = reporting_period_data['timestamps'][0] |
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| 389 | |||
| 390 | ws['B' + str(current_row_number)].font = title_font |
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| 391 | ws['B' + str(current_row_number)] = name + ' 详细数据' |
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| 392 | |||
| 393 | current_row_number += 1 |
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| 394 | |||
| 395 | chart_start_row_number = current_row_number |
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| 396 | |||
| 397 | current_row_number += ca_len * 6 |
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| 398 | table_start_row_number = current_row_number |
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| 399 | |||
| 400 | ws['B' + str(current_row_number)].fill = table_fill |
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| 401 | ws['B' + str(current_row_number)].font = title_small_font |
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| 402 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 403 | ws['B' + str(current_row_number)].border = f_border |
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| 404 | ws['B' + str(current_row_number)] = '日期时间' |
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| 405 | |||
| 406 | col = 'C' |
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| 407 | |||
| 408 | for i in range(0, ca_len): |
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| 409 | ws[col + str(current_row_number)].fill = table_fill |
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| 410 | ws[col + str(current_row_number)].font = title_small_font |
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| 411 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 412 | ws[col + str(current_row_number)].border = f_border |
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| 413 | ws[col + str(current_row_number)] = \ |
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| 414 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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| 415 | col = chr(ord(col) + 1) |
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| 416 | |||
| 417 | current_row_number += 1 |
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| 418 | |||
| 419 | for i in range(0, len(time)): |
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| 420 | ws['B' + str(current_row_number)].font = title_font |
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| 421 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 422 | ws['B' + str(current_row_number)].border = f_border |
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| 423 | ws['B' + str(current_row_number)] = time[i] |
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| 424 | |||
| 425 | col = 'C' |
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| 426 | for j in range(0, ca_len): |
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| 427 | ws[col + str(current_row_number)].font = title_font |
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| 428 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 429 | ws[col + str(current_row_number)].border = f_border |
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| 430 | ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \ |
||
| 431 | if reporting_period_data['values'][j][i] is not None else 0.00 |
||
| 432 | col = chr(ord(col) + 1) |
||
| 433 | |||
| 434 | current_row_number += 1 |
||
| 435 | |||
| 436 | table_end_row_number = current_row_number - 1 |
||
| 437 | |||
| 438 | ws['B' + str(current_row_number)].font = title_font |
||
| 439 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 440 | ws['B' + str(current_row_number)].border = f_border |
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| 441 | ws['B' + str(current_row_number)] = '小计' |
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| 442 | |||
| 443 | col = 'C' |
||
| 444 | |||
| 445 | for i in range(0, ca_len): |
||
| 446 | ws[col + str(current_row_number)].font = title_font |
||
| 447 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 448 | ws[col + str(current_row_number)].border = f_border |
||
| 449 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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| 450 | col = chr(ord(col) + 1) |
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| 451 | |||
| 452 | current_row_number += 2 |
||
| 453 | |||
| 454 | format_time_width_number = 1.0 |
||
| 455 | min_len_number = 1.0 |
||
| 456 | min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0 |
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| 457 | |||
| 458 | if period_type == 'hourly': |
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| 459 | format_time_width_number = 4.0 |
||
| 460 | min_len_number = 2 |
||
| 461 | min_width_number = 12.0 |
||
| 462 | elif period_type == 'daily': |
||
| 463 | format_time_width_number = 2.5 |
||
| 464 | min_len_number = 4 |
||
| 465 | min_width_number = 14.0 |
||
| 466 | elif period_type == 'monthly': |
||
| 467 | format_time_width_number = 2.1 |
||
| 468 | min_len_number = 4 |
||
| 469 | min_width_number = 12.4 |
||
| 470 | elif period_type == 'yearly': |
||
| 471 | format_time_width_number = 1.5 |
||
| 472 | min_len_number = 5 |
||
| 473 | min_width_number = 11.5 |
||
| 474 | |||
| 475 | for i in range(0, ca_len): |
||
| 476 | bar = BarChart() |
||
| 477 | bar.title = \ |
||
| 478 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
| 479 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
||
| 480 | bar_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number) |
||
| 481 | bar.add_data(bar_data, titles_from_data=True) |
||
| 482 | bar.set_categories(labels) |
||
| 483 | bar.height = 5.85 |
||
| 484 | bar.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number |
||
| 485 | if bar.width > 24: |
||
| 486 | bar.width = 24 |
||
| 487 | bar.dLbls = DataLabelList() |
||
| 488 | bar.dLbls.showVal = False |
||
| 489 | bar.dLbls.showPercent = True |
||
| 490 | chart_col = 'B' |
||
| 491 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 492 | chart_start_row_number += 6 |
||
| 493 | ws.add_chart(bar, chart_cell) |
||
| 494 | |||
| 495 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 496 | wb.save(filename) |
||
| 497 | |||
| 498 | return filename |
||
| 499 | |||
| 500 | |||
| 501 | def group_by_category(category_list): |
||
| 502 | category_dict = dict() |
||
| 503 | for i, value in enumerate(category_list): |
||
| 504 | if value not in category_dict.keys(): |
||
| 505 | category_dict[value] = list() |
||
| 506 | category_dict[value].append(i) |
||
| 507 | return category_dict |
||
| 508 | |||
| 509 |
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