myems /
myems-api
| Total Complexity | 54 |
| Total Lines | 502 |
| Duplicated Lines | 7.77 % |
| 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.spacestatistics 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 | BarChart, |
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| 6 | Reference, |
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| 7 | ) |
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| 8 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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| 9 | from openpyxl.drawing.image import Image |
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| 10 | from openpyxl import Workbook |
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| 11 | from openpyxl.chart.label import DataLabelList |
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| 12 | |||
| 13 | |||
| 14 | #################################################################################################################### |
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| 15 | # PROCEDURES |
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| 16 | # Step 1: Validate the report data |
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| 17 | # Step 2: Generate excel file |
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| 18 | # Step 3: Encode the excel file bytes to Base64 |
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| 19 | #################################################################################################################### |
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| 20 | |||
| 21 | |||
| 22 | View Code Duplication | def export(report, |
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Duplication
introduced
by
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| 23 | name, |
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| 24 | reporting_start_datetime_local, |
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| 25 | reporting_end_datetime_local, |
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| 26 | period_type): |
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| 27 | #################################################################################################################### |
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| 28 | # Step 1: Validate the report data |
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| 29 | #################################################################################################################### |
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| 30 | if report is None: |
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| 31 | return None |
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| 32 | print(report) |
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| 33 | |||
| 34 | #################################################################################################################### |
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| 35 | # Step 2: Generate excel file from the report data |
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| 36 | #################################################################################################################### |
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| 37 | filename = generate_excel(report, |
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| 38 | name, |
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| 39 | reporting_start_datetime_local, |
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| 40 | reporting_end_datetime_local, |
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| 41 | period_type) |
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| 42 | #################################################################################################################### |
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| 43 | # Step 3: Encode the excel file to Base64 |
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| 44 | #################################################################################################################### |
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| 45 | try: |
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| 46 | with open(filename, 'rb') as binary_file: |
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| 47 | binary_file_data = binary_file.read() |
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| 48 | except IOError as ex: |
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| 49 | pass |
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| 50 | |||
| 51 | # Base64 encode the bytes |
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| 52 | base64_encoded_data = base64.b64encode(binary_file_data) |
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| 53 | # get the Base64 encoded data using human-readable characters. |
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| 54 | base64_message = base64_encoded_data.decode('utf-8') |
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| 55 | # delete the file from server |
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| 56 | try: |
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| 57 | os.remove(filename) |
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| 58 | except NotImplementedError as ex: |
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| 59 | pass |
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| 60 | return base64_message |
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| 61 | |||
| 62 | |||
| 63 | def generate_excel(report, |
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| 64 | name, |
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| 65 | reporting_start_datetime_local, |
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| 66 | reporting_end_datetime_local, |
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| 67 | period_type): |
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| 68 | wb = Workbook() |
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| 69 | ws = wb.active |
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| 70 | |||
| 71 | # Row height |
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| 72 | ws.row_dimensions[1].height = 121 |
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| 73 | |||
| 74 | for i in range(2, 37 + 1): |
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| 75 | ws.row_dimensions[i].height = 30 |
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| 76 | |||
| 77 | for i in range(38, 90 + 1): |
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| 78 | ws.row_dimensions[i].height = 30 |
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| 79 | |||
| 80 | # Col width |
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| 81 | ws.column_dimensions['A'].width = 1.5 |
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| 82 | ws.column_dimensions['B'].width = 20.0 |
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| 83 | |||
| 84 | for i in range(ord('C'), ord('I')): |
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| 85 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 86 | |||
| 87 | # Font |
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| 88 | name_font = Font(name='Constantia', size=15, bold=True) |
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| 89 | title_font = Font(name='宋体', size=15, 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 | |||
| 127 | # Img |
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| 128 | img = Image("excelexporters/myems.png") |
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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['B3'].font = name_font |
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| 134 | ws['B3'].alignment = b_r_alignment |
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| 135 | ws['B3'] = 'Name:' |
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| 136 | ws['C3'].border = b_border |
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| 137 | ws['C3'].alignment = b_c_alignment |
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| 138 | ws['C3'].font = name_font |
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| 139 | ws['C3'] = name |
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| 140 | |||
| 141 | ws['D3'].font = name_font |
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| 142 | ws['D3'].alignment = b_r_alignment |
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| 143 | ws['D3'] = 'Period:' |
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| 144 | ws['E3'].border = b_border |
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| 145 | ws['E3'].alignment = b_c_alignment |
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| 146 | ws['E3'].font = name_font |
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| 147 | ws['E3'] = period_type |
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| 148 | |||
| 149 | ws['F3'].font = name_font |
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| 150 | ws['F3'].alignment = b_r_alignment |
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| 151 | ws['F3'] = 'Date:' |
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| 152 | ws['G3'].border = b_border |
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| 153 | ws['G3'].alignment = b_c_alignment |
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| 154 | ws['G3'].font = name_font |
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| 155 | ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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| 156 | ws.merge_cells("G3:H3") |
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| 157 | |||
| 158 | if "reporting_period" not in report.keys() or \ |
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| 159 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 160 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 161 | wb.save(filename) |
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| 162 | |||
| 163 | return filename |
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| 164 | ################################################# |
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| 165 | # First: 统计分析 |
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| 166 | # 6: title |
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| 167 | # 7: table title |
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| 168 | # 8~11 table_data |
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| 169 | # Total: 6 rows |
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| 170 | # if has not energy data: set low height for rows |
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| 171 | ################################################# |
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| 172 | reporting_period_data = report['reporting_period'] |
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| 173 | |||
| 174 | has_energy_data_flag = True |
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| 175 | |||
| 176 | if "names" not in reporting_period_data.keys() or \ |
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| 177 | reporting_period_data['names'] is None or \ |
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| 178 | len(reporting_period_data['names']) == 0: |
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| 179 | has_energy_data_flag = False |
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| 180 | |||
| 181 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 182 | wb.save(filename) |
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| 183 | |||
| 184 | return filename |
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| 185 | |||
| 186 | if has_energy_data_flag: |
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| 187 | ws['B6'].font = title_font |
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| 188 | ws['B6'] = name + ' 统计分析' |
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| 189 | # ws['D6'].font = title_font |
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| 190 | # ws['D6'] = '面积' +report['space']['area'] |
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| 191 | |||
| 192 | category = reporting_period_data['names'] |
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| 193 | |||
| 194 | # table_title |
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| 195 | ws['B7'].fill = table_fill |
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| 196 | ws['B7'].font = title_font |
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| 197 | ws['B7'].alignment = c_c_alignment |
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| 198 | ws['B7'] = '报告期' |
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| 199 | ws['B7'].border = f_border |
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| 200 | |||
| 201 | ws['C7'].font = title_font |
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| 202 | ws['C7'].alignment = c_c_alignment |
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| 203 | ws['C7'] = '算术平均数' |
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| 204 | ws['C7'].border = f_border |
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| 205 | |||
| 206 | ws['D7'].font = title_font |
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| 207 | ws['D7'].alignment = c_c_alignment |
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| 208 | ws['D7'] = '中位数' |
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| 209 | ws['D7'].border = f_border |
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| 210 | |||
| 211 | ws['E7'].font = title_font |
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| 212 | ws['E7'].alignment = c_c_alignment |
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| 213 | ws['E7'] = '最小值' |
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| 214 | ws['E7'].border = f_border |
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| 215 | |||
| 216 | ws['F7'].font = title_font |
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| 217 | ws['F7'].alignment = c_c_alignment |
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| 218 | ws['F7'] = '最大值' |
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| 219 | ws['F7'].border = f_border |
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| 220 | |||
| 221 | ws['G7'].font = title_font |
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| 222 | ws['G7'].alignment = c_c_alignment |
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| 223 | ws['G7'] = '样本标准差' |
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| 224 | ws['G7'].border = f_border |
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| 225 | |||
| 226 | ws['H7'].font = title_font |
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| 227 | ws['H7'].alignment = c_c_alignment |
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| 228 | ws['H7'] = '样本方差' |
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| 229 | ws['H7'].border = f_border |
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| 230 | |||
| 231 | # table_data |
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| 232 | |||
| 233 | for i, value in enumerate(category): |
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| 234 | row = i + 8 |
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| 235 | ws['B' + str(row)].font = name_font |
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| 236 | ws['B' + str(row)].alignment = c_c_alignment |
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| 237 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )" |
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| 238 | ws['B' + str(row)].border = f_border |
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| 239 | |||
| 240 | ws['C' + str(row)].font = name_font |
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| 241 | ws['C' + str(row)].alignment = c_c_alignment |
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| 242 | if reporting_period_data['means'][i] or reporting_period_data['means'][i] == 0: |
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| 243 | ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) |
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| 244 | ws['C' + str(row)].border = f_border |
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| 245 | |||
| 246 | ws['D' + str(row)].font = name_font |
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| 247 | ws['D' + str(row)].alignment = c_c_alignment |
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| 248 | if reporting_period_data['medians'][i] or reporting_period_data['medians'][i] == 0: |
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| 249 | ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) |
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| 250 | ws['D' + str(row)].border = f_border |
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| 251 | |||
| 252 | ws['E' + str(row)].font = name_font |
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| 253 | ws['E' + str(row)].alignment = c_c_alignment |
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| 254 | if reporting_period_data['minimums'][i] or reporting_period_data['minimums'][i] == 0: |
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| 255 | ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) |
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| 256 | ws['E' + str(row)].border = f_border |
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| 257 | |||
| 258 | ws['F' + str(row)].font = name_font |
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| 259 | ws['F' + str(row)].alignment = c_c_alignment |
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| 260 | if reporting_period_data['maximums'][i] or reporting_period_data['maximums'][i] == 0: |
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| 261 | ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) |
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| 262 | ws['F' + str(row)].border = f_border |
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| 263 | |||
| 264 | ws['G' + str(row)].font = name_font |
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| 265 | ws['G' + str(row)].alignment = c_c_alignment |
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| 266 | if reporting_period_data['stdevs'][i] or reporting_period_data['stdevs'][i] == 0: |
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| 267 | ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) |
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| 268 | ws['G' + str(row)].border = f_border |
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| 269 | |||
| 270 | ws['H' + str(row)].font = name_font |
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| 271 | ws['H' + str(row)].alignment = c_c_alignment |
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| 272 | if reporting_period_data['variances'][i] or reporting_period_data['variances'][i] == 0: |
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| 273 | ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) |
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| 274 | ws['H' + str(row)].border = f_border |
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| 275 | |||
| 276 | ################################################# |
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| 277 | # First: 统计分析 |
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| 278 | # 13: title |
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| 279 | # 14: table title |
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| 280 | # 15~18 table_data |
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| 281 | # Total: 6 rows |
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| 282 | # if has not energy data: set low height for rows |
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| 283 | ################################################# |
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| 284 | |||
| 285 | if has_energy_data_flag: |
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| 286 | ws['B13'].font = title_font |
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| 287 | ws['B13'] = name + ' 单位面积值' |
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| 288 | ws['D13'].font = title_font |
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| 289 | ws['D13'] = str(report['space']['area']) + 'M²' |
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| 290 | |||
| 291 | category = reporting_period_data['names'] |
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| 292 | |||
| 293 | # table_title |
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| 294 | ws['B14'].fill = table_fill |
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| 295 | ws['B14'].font = title_font |
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| 296 | ws['B14'].alignment = c_c_alignment |
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| 297 | ws['B14'] = '报告期' |
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| 298 | ws['B14'].border = f_border |
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| 299 | |||
| 300 | ws['C14'].font = title_font |
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| 301 | ws['C14'].alignment = c_c_alignment |
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| 302 | ws['C14'] = '算术平均数' |
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| 303 | ws['C14'].border = f_border |
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| 304 | |||
| 305 | ws['D14'].font = title_font |
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| 306 | ws['D14'].alignment = c_c_alignment |
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| 307 | ws['D14'] = '中位数' |
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| 308 | ws['D14'].border = f_border |
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| 309 | |||
| 310 | ws['E14'].font = title_font |
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| 311 | ws['E14'].alignment = c_c_alignment |
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| 312 | ws['E14'] = '最小值' |
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| 313 | ws['E14'].border = f_border |
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| 314 | |||
| 315 | ws['F14'].font = title_font |
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| 316 | ws['F14'].alignment = c_c_alignment |
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| 317 | ws['F14'] = '最大值' |
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| 318 | ws['F14'].border = f_border |
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| 319 | |||
| 320 | ws['G14'].font = title_font |
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| 321 | ws['G14'].alignment = c_c_alignment |
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| 322 | ws['G14'] = '样本标准差' |
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| 323 | ws['G14'].border = f_border |
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| 324 | |||
| 325 | ws['H14'].font = title_font |
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| 326 | ws['H14'].alignment = c_c_alignment |
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| 327 | ws['H14'] = '样本方差' |
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| 328 | ws['H14'].border = f_border |
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| 329 | |||
| 330 | # table_data |
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| 331 | |||
| 332 | for i, value in enumerate(category): |
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| 333 | row = i + 15 |
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| 334 | ws['B' + str(row)].font = name_font |
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| 335 | ws['B' + str(row)].alignment = c_c_alignment |
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| 336 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ |
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| 337 | i] + "/M²)" |
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| 338 | ws['B' + str(row)].border = f_border |
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| 339 | |||
| 340 | ws['C' + str(row)].font = name_font |
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| 341 | ws['C' + str(row)].alignment = c_c_alignment |
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| 342 | if reporting_period_data['means_per_unit_area'][i] \ |
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| 343 | or reporting_period_data['means_per_unit_area'][i] == 0: |
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| 344 | ws['C' + str(row)] = round(reporting_period_data['means_per_unit_area'][i], 2) |
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| 345 | ws['C' + str(row)].border = f_border |
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| 346 | |||
| 347 | ws['D' + str(row)].font = name_font |
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| 348 | ws['D' + str(row)].alignment = c_c_alignment |
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| 349 | if reporting_period_data['medians_per_unit_area'][i] \ |
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| 350 | or reporting_period_data['medians_per_unit_area'][i] == 0: |
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| 351 | ws['D' + str(row)] = round(reporting_period_data['medians_per_unit_area'][i], 2) |
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| 352 | ws['D' + str(row)].border = f_border |
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| 353 | |||
| 354 | ws['E' + str(row)].font = name_font |
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| 355 | ws['E' + str(row)].alignment = c_c_alignment |
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| 356 | if reporting_period_data['minimums_per_unit_area'][i] \ |
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| 357 | or reporting_period_data['minimums_per_unit_area'][i] == 0: |
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| 358 | ws['E' + str(row)] = round(reporting_period_data['minimums_per_unit_area'][i], 2) |
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| 359 | ws['E' + str(row)].border = f_border |
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| 360 | |||
| 361 | ws['F' + str(row)].font = name_font |
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| 362 | ws['F' + str(row)].alignment = c_c_alignment |
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| 363 | if reporting_period_data['maximums_per_unit_area'][i] \ |
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| 364 | or reporting_period_data['maximums_per_unit_area'][i] == 0: |
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| 365 | ws['F' + str(row)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) |
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| 366 | ws['F' + str(row)].border = f_border |
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| 367 | |||
| 368 | ws['G' + str(row)].font = name_font |
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| 369 | ws['G' + str(row)].alignment = c_c_alignment |
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| 370 | if (reporting_period_data['stdevs_per_unit_area'][i]) \ |
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| 371 | or reporting_period_data['stdevs_per_unit_area'][i] == 0: |
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| 372 | ws['G' + str(row)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2) |
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| 373 | ws['G' + str(row)].border = f_border |
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| 374 | |||
| 375 | ws['H' + str(row)].font = name_font |
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| 376 | ws['H' + str(row)].alignment = c_c_alignment |
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| 377 | if reporting_period_data['variances_per_unit_area'][i] \ |
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| 378 | or reporting_period_data['variances_per_unit_area'][i] == 0: |
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| 379 | ws['H' + str(row)] = round(reporting_period_data['variances_per_unit_area'][i], 2) |
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| 380 | ws['H' + str(row)].border = f_border |
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| 381 | |||
| 382 | ################################################ |
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| 383 | # Fourth: |
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| 384 | # 20: title |
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| 385 | # 21~ 26+ca_len*5-1: line |
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| 386 | # 26+ca_len*5: table title |
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| 387 | # 26+ca_len*5~: table_data |
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| 388 | ################################################ |
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| 389 | reporting_period_data = report['reporting_period'] |
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| 390 | times = reporting_period_data['timestamps'] |
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| 391 | has_detail_data_flag = True |
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| 392 | ca_len = len(report['reporting_period']['names']) |
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| 393 | table_row = 27 |
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| 394 | |||
| 395 | if "timestamps" not in reporting_period_data.keys() or \ |
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| 396 | reporting_period_data['timestamps'] is None or \ |
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| 397 | len(reporting_period_data['timestamps']) == 0: |
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| 398 | has_detail_data_flag = False |
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| 399 | |||
| 400 | if has_detail_data_flag: |
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| 401 | ws['B20'].font = title_font |
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| 402 | ws['B20'] = name + ' 报告期消耗' |
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| 403 | ws['B26'].font = title_font |
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| 404 | ws['B26'] = name + ' 详细数据' |
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| 405 | # table |
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| 406 | |||
| 407 | ws['B' + str(table_row)].fill = table_fill |
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| 408 | ws['B' + str(table_row)].border = f_border |
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| 409 | ws['B' + str(table_row)].alignment = c_c_alignment |
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| 410 | ws['B' + str(table_row)] = '日期时间' |
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| 411 | time = times[0] |
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| 412 | has_data = False |
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| 413 | max_row = 0 |
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| 414 | if len(time) > 0: |
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| 415 | has_data = True |
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| 416 | max_row = table_row + len(time) |
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| 417 | # print("max_row", max_row) |
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| 418 | |||
| 419 | if has_data: |
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| 420 | # time |
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| 421 | time_len = len(time) |
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| 422 | for index in range(0, len(time)): |
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| 423 | col = 'B' |
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| 424 | row = str(table_row + 1 + index) |
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| 425 | # col = chr(ord('B') + i) |
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| 426 | ws[col + row].font = title_font |
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| 427 | ws[col + row].alignment = c_c_alignment |
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| 428 | ws[col + row] = time[index] |
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| 429 | ws[col + row].border = f_border |
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| 430 | if index == time_len - 1: |
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| 431 | row = str(table_row + 2 + index) |
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| 432 | ws['B' + row].font = title_font |
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| 433 | ws['B' + row].alignment = c_c_alignment |
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| 434 | ws['B' + row] = "小计" |
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| 435 | ws['B' + row].border = f_border |
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| 436 | # data |
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| 437 | for index in range(0, ca_len): |
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| 438 | # table_title |
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| 439 | col = chr(ord('C') + index) |
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| 440 | |||
| 441 | ws[col + str(table_row)].fill = table_fill |
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| 442 | ws[col + str(table_row)].font = title_font |
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| 443 | ws[col + str(table_row)].alignment = c_c_alignment |
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| 444 | ws[col + str(table_row)] = (reporting_period_data['names'][index] + "(" + |
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| 445 | reporting_period_data['units'][index] + ")") |
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| 446 | ws[col + str(table_row)].border = f_border |
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| 447 | |||
| 448 | # data |
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| 449 | time = times[index] |
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| 450 | time_len = len(time) |
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| 451 | |||
| 452 | for j in range(0, time_len): |
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| 453 | row = str(table_row + 1 + j) |
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| 454 | # col = chr(ord('B') + i) |
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| 455 | ws[col + row].font = title_font |
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| 456 | ws[col + row].alignment = c_c_alignment |
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| 457 | ws[col + row] = round(reporting_period_data['values'][index][j], 0) |
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| 458 | ws[col + row].border = f_border |
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| 459 | # subtotals |
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| 460 | if j == time_len - 1: |
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| 461 | row = str(table_row + 2 + j) |
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| 462 | ws[col + row].font = title_font |
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| 463 | ws[col + row].alignment = c_c_alignment |
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| 464 | ws[col + row] = round(reporting_period_data['subtotals'][index], 0) |
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| 465 | ws[col + row].border = f_border |
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| 466 | |||
| 467 | # bar |
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| 468 | bar = BarChart() |
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| 469 | labels = Reference(ws, min_col=2, min_row=table_row + 1, max_row=max_row) |
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| 470 | bar_data = Reference(ws, min_col=3 + index, min_row=table_row, max_row=max_row) # openpyxl bug |
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| 471 | bar.add_data(bar_data, titles_from_data=True) |
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| 472 | bar.set_categories(labels) |
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| 473 | bar.height = 5.25 # cm 1.05*5 1.05cm = 30 pt |
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| 474 | bar.width = 18 |
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| 475 | # pie.title = "Pies sold by category" |
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| 476 | bar.dLbls = DataLabelList() |
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| 477 | # bar.dLbls.showCatName = True # label show |
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| 478 | bar.dLbls.showVal = True # val show |
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| 479 | bar.dLbls.showPercent = True # percent show |
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| 480 | # s1 = CharacterProperties(sz=1800) # font size *100 |
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| 481 | chart_col = 'B' |
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| 482 | chart_cell = chart_col + str(21 + 5 * index) |
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| 483 | ws.add_chart(bar, chart_cell) |
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| 484 | |||
| 485 | # ################################################ |
||
| 486 | # # Fourth: 相关参数 |
||
| 487 | # # table_row+2: title |
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| 488 | # # 21~ 26+ca_len*5-1: LineChart |
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| 489 | # # 26+ca_len*5: table title |
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| 490 | # # 26+ca_len*5~: table_data |
||
| 491 | # ################################################ |
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| 492 | # |
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| 493 | # reporting_period_data = report['parameters'] |
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| 494 | # times = reporting_period_data['timestamps'] |
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| 495 | # has_detail_data_flag = True |
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| 496 | # ca_len = len(reporting_period_data['names']) |
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| 497 | |||
| 498 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 499 | wb.save(filename) |
||
| 500 | |||
| 501 | return filename |
||
| 502 |
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