myems /
myems-api
| Total Complexity | 52 |
| Total Lines | 530 |
| Duplicated Lines | 95.47 % |
| 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.storestatistics 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 os |
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| 3 | import uuid |
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| 4 | |||
| 5 | from openpyxl import Workbook |
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| 6 | from openpyxl.chart import ( |
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| 7 | LineChart, |
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| 8 | Reference, |
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| 9 | ) |
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| 10 | from openpyxl.drawing.image import Image |
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| 11 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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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 | View Code Duplication | 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~ca_len table_data |
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| 169 | ################################################# |
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| 170 | reporting_period_data = report['reporting_period'] |
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| 171 | |||
| 172 | has_energy_data_flag = True |
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| 173 | |||
| 174 | if "names" not in reporting_period_data.keys() or \ |
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| 175 | reporting_period_data['names'] is None or \ |
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| 176 | len(reporting_period_data['names']) == 0: |
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| 177 | has_energy_data_flag = False |
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| 178 | |||
| 179 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 180 | wb.save(filename) |
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| 181 | |||
| 182 | return filename |
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| 183 | |||
| 184 | if has_energy_data_flag: |
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| 185 | ws['B6'].font = title_font |
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| 186 | ws['B6'] = name + ' 统计分析' |
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| 187 | |||
| 188 | category = reporting_period_data['names'] |
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| 189 | |||
| 190 | # table_title |
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| 191 | ws['B7'].fill = table_fill |
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| 192 | ws['B7'].font = title_font |
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| 193 | ws['B7'].alignment = c_c_alignment |
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| 194 | ws['B7'] = '报告期' |
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| 195 | ws['B7'].border = f_border |
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| 196 | |||
| 197 | ws['C7'].font = title_font |
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| 198 | ws['C7'].alignment = c_c_alignment |
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| 199 | ws['C7'] = '算术平均数' |
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| 200 | ws['C7'].border = f_border |
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| 201 | |||
| 202 | ws['D7'].font = title_font |
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| 203 | ws['D7'].alignment = c_c_alignment |
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| 204 | ws['D7'] = '中位数' |
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| 205 | ws['D7'].border = f_border |
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| 206 | |||
| 207 | ws['E7'].font = title_font |
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| 208 | ws['E7'].alignment = c_c_alignment |
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| 209 | ws['E7'] = '最小值' |
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| 210 | ws['E7'].border = f_border |
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| 211 | |||
| 212 | ws['F7'].font = title_font |
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| 213 | ws['F7'].alignment = c_c_alignment |
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| 214 | ws['F7'] = '最大值' |
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| 215 | ws['F7'].border = f_border |
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| 216 | |||
| 217 | ws['G7'].font = title_font |
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| 218 | ws['G7'].alignment = c_c_alignment |
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| 219 | ws['G7'] = '样本标准差' |
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| 220 | ws['G7'].border = f_border |
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| 221 | |||
| 222 | ws['H7'].font = title_font |
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| 223 | ws['H7'].alignment = c_c_alignment |
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| 224 | ws['H7'] = '样本方差' |
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| 225 | ws['H7'].border = f_border |
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| 226 | |||
| 227 | # table_data |
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| 228 | |||
| 229 | for i, value in enumerate(category): |
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| 230 | row = i * 2 + 8 |
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| 231 | ws['B' + str(row)].font = name_font |
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| 232 | ws['B' + str(row)].alignment = c_c_alignment |
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| 233 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )" |
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| 234 | ws['B' + str(row)].border = f_border |
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| 235 | |||
| 236 | ws['B' + str(row + 1)].font = name_font |
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| 237 | ws['B' + str(row + 1)].alignment = c_c_alignment |
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| 238 | ws['B' + str(row + 1)] = "环比" |
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| 239 | ws['B' + str(row + 1)].border = f_border |
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| 240 | |||
| 241 | ws['C' + str(row)].font = name_font |
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| 242 | ws['C' + str(row)].alignment = c_c_alignment |
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| 243 | ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \ |
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| 244 | if reporting_period_data['means'][i] is not None else '' |
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| 245 | ws['C' + str(row)].border = f_border |
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| 246 | ws['C' + str(row)].number_format = '0.00' |
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| 247 | |||
| 248 | ws['C' + str(row + 1)].font = name_font |
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| 249 | ws['C' + str(row + 1)].alignment = c_c_alignment |
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| 250 | ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \ |
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| 251 | if reporting_period_data['means_increment_rate'][i] is not None else '0.00%' |
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| 252 | ws['C' + str(row + 1)].border = f_border |
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| 253 | |||
| 254 | ws['D' + str(row)].font = name_font |
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| 255 | ws['D' + str(row)].alignment = c_c_alignment |
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| 256 | ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \ |
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| 257 | if reporting_period_data['medians'][i] is not None else '' |
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| 258 | ws['D' + str(row)].border = f_border |
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| 259 | ws['D' + str(row)].number_format = '0.00' |
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| 260 | |||
| 261 | ws['D' + str(row + 1)].font = name_font |
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| 262 | ws['D' + str(row + 1)].alignment = c_c_alignment |
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| 263 | ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \ |
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| 264 | if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%' |
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| 265 | ws['D' + str(row + 1)].border = f_border |
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| 266 | |||
| 267 | ws['E' + str(row)].font = name_font |
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| 268 | ws['E' + str(row)].alignment = c_c_alignment |
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| 269 | ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \ |
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| 270 | if reporting_period_data['minimums'][i] is not None else '' |
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| 271 | ws['E' + str(row)].border = f_border |
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| 272 | ws['E' + str(row)].number_format = '0.00' |
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| 273 | |||
| 274 | ws['E' + str(row + 1)].font = name_font |
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| 275 | ws['E' + str(row + 1)].alignment = c_c_alignment |
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| 276 | ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 277 | if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%' |
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| 278 | ws['E' + str(row + 1)].border = f_border |
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| 279 | |||
| 280 | ws['F' + str(row)].font = name_font |
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| 281 | ws['F' + str(row)].alignment = c_c_alignment |
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| 282 | ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 283 | if reporting_period_data['maximums'][i] is not None else '' |
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| 284 | ws['F' + str(row)].border = f_border |
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| 285 | ws['F' + str(row)].number_format = '0.00' |
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| 286 | |||
| 287 | ws['F' + str(row + 1)].font = name_font |
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| 288 | ws['F' + str(row + 1)].alignment = c_c_alignment |
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| 289 | ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 290 | if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' |
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| 291 | ws['F' + str(row + 1)].border = f_border |
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| 292 | |||
| 293 | ws['G' + str(row)].font = name_font |
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| 294 | ws['G' + str(row)].alignment = c_c_alignment |
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| 295 | ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \ |
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| 296 | if reporting_period_data['stdevs'][i] is not None else '' |
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| 297 | ws['G' + str(row)].border = f_border |
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| 298 | ws['G' + str(row)].number_format = '0.00' |
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| 299 | |||
| 300 | ws['G' + str(row + 1)].font = name_font |
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| 301 | ws['G' + str(row + 1)].alignment = c_c_alignment |
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| 302 | ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \ |
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| 303 | if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%' |
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| 304 | ws['G' + str(row + 1)].border = f_border |
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| 305 | |||
| 306 | ws['H' + str(row)].font = name_font |
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| 307 | ws['H' + str(row)].alignment = c_c_alignment |
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| 308 | ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \ |
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| 309 | if reporting_period_data['variances'][i] is not None else '' |
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| 310 | ws['H' + str(row)].border = f_border |
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| 311 | ws['H' + str(row)].number_format = '0.00' |
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| 312 | |||
| 313 | ws['H' + str(row + 1)].font = name_font |
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| 314 | ws['H' + str(row + 1)].alignment = c_c_alignment |
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| 315 | ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \ |
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| 316 | if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%' |
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| 317 | ws['H' + str(row + 1)].border = f_border |
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| 318 | ################################################# |
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| 319 | # Second: 报告期消耗 |
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| 320 | # 9 + ca_len * 2: title |
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| 321 | # 10 + ca_len * 2: table title |
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| 322 | # row_title + 2 ~ row_title + 2 + ca_len : table_data |
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| 323 | ################################################# |
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| 324 | |||
| 325 | if has_energy_data_flag: |
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| 326 | names = reporting_period_data['names'] |
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| 327 | ca_len = len(names) |
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| 328 | |||
| 329 | row_title = 9 + ca_len * 2 |
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| 330 | |||
| 331 | ws['B' + str(row_title)].font = title_font |
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| 332 | ws['B' + str(row_title)] = name + ' 单位面积值' |
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| 333 | ws['D' + str(row_title)].font = title_font |
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| 334 | ws['D' + str(row_title)] = str(report['store']['area']) + 'M²' |
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| 335 | |||
| 336 | category = reporting_period_data['names'] |
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| 337 | |||
| 338 | # table_title |
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| 339 | ws['B' + str(row_title + 1)].fill = table_fill |
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| 340 | ws['B' + str(row_title + 1)].font = title_font |
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| 341 | ws['B' + str(row_title + 1)].alignment = c_c_alignment |
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| 342 | ws['B' + str(row_title + 1)] = '报告期' |
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| 343 | ws['B' + str(row_title + 1)].border = f_border |
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| 344 | |||
| 345 | ws['C' + str(row_title + 1)].font = title_font |
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| 346 | ws['C' + str(row_title + 1)].alignment = c_c_alignment |
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| 347 | ws['C' + str(row_title + 1)] = '算术平均数' |
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| 348 | ws['C' + str(row_title + 1)].border = f_border |
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| 349 | |||
| 350 | ws['D' + str(row_title + 1)].font = title_font |
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| 351 | ws['D' + str(row_title + 1)].alignment = c_c_alignment |
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| 352 | ws['D' + str(row_title + 1)] = '中位数' |
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| 353 | ws['D' + str(row_title + 1)].border = f_border |
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| 354 | |||
| 355 | ws['E' + str(row_title + 1)].font = title_font |
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| 356 | ws['E' + str(row_title + 1)].alignment = c_c_alignment |
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| 357 | ws['E' + str(row_title + 1)] = '最小值' |
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| 358 | ws['E' + str(row_title + 1)].border = f_border |
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| 359 | |||
| 360 | ws['F' + str(row_title + 1)].font = title_font |
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| 361 | ws['F' + str(row_title + 1)].alignment = c_c_alignment |
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| 362 | ws['F' + str(row_title + 1)] = '最大值' |
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| 363 | ws['F' + str(row_title + 1)].border = f_border |
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| 364 | |||
| 365 | ws['G' + str(row_title + 1)].font = title_font |
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| 366 | ws['G' + str(row_title + 1)].alignment = c_c_alignment |
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| 367 | ws['G' + str(row_title + 1)] = '样本标准差' |
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| 368 | ws['G' + str(row_title + 1)].border = f_border |
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| 369 | |||
| 370 | ws['H' + str(row_title + 1)].font = title_font |
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| 371 | ws['H' + str(row_title + 1)].alignment = c_c_alignment |
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| 372 | ws['H' + str(row_title + 1)] = '样本方差' |
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| 373 | ws['H' + str(row_title + 1)].border = f_border |
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| 374 | |||
| 375 | # table_data |
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| 376 | |||
| 377 | for i, value in enumerate(category): |
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| 378 | row_data = row_title + 2 + i |
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| 379 | ws['B' + str(row_data)].font = name_font |
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| 380 | ws['B' + str(row_data)].alignment = c_c_alignment |
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| 381 | ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ |
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| 382 | i] + "/M²)" |
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| 383 | ws['B' + str(row_data)].border = f_border |
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| 384 | |||
| 385 | ws['C' + str(row_data)].font = name_font |
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| 386 | ws['C' + str(row_data)].alignment = c_c_alignment |
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| 387 | if reporting_period_data['means_per_unit_area'][i] \ |
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| 388 | or reporting_period_data['means_per_unit_area'][i] == 0: |
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| 389 | ws['C' + str(row_data)] = round(reporting_period_data['means_per_unit_area'][i], 2) |
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| 390 | ws['C' + str(row_data)].border = f_border |
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| 391 | ws['C' + str(row_data)].number_format = '0.00' |
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| 392 | |||
| 393 | ws['D' + str(row_data)].font = name_font |
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| 394 | ws['D' + str(row_data)].alignment = c_c_alignment |
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| 395 | if reporting_period_data['medians_per_unit_area'][i] \ |
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| 396 | or reporting_period_data['medians_per_unit_area'][i] == 0: |
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| 397 | ws['D' + str(row_data)] = round(reporting_period_data['medians_per_unit_area'][i], 2) |
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| 398 | ws['D' + str(row_data)].border = f_border |
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| 399 | ws['D' + str(row_data)].number_format = '0.00' |
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| 400 | |||
| 401 | ws['E' + str(row_data)].font = name_font |
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| 402 | ws['E' + str(row_data)].alignment = c_c_alignment |
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| 403 | if reporting_period_data['minimums_per_unit_area'][i] \ |
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| 404 | or reporting_period_data['minimums_per_unit_area'][i] == 0: |
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| 405 | ws['E' + str(row_data)] = round(reporting_period_data['minimums_per_unit_area'][i], 2) |
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| 406 | ws['E' + str(row_data)].border = f_border |
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| 407 | ws['E' + str(row_data)].number_format = '0.00' |
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| 408 | |||
| 409 | ws['F' + str(row_data)].font = name_font |
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| 410 | ws['F' + str(row_data)].alignment = c_c_alignment |
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| 411 | if reporting_period_data['maximums_per_unit_area'][i] \ |
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| 412 | or reporting_period_data['maximums_per_unit_area'][i] == 0: |
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| 413 | ws['F' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) |
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| 414 | ws['F' + str(row_data)].border = f_border |
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| 415 | ws['F' + str(row_data)].number_format = '0.00' |
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| 416 | |||
| 417 | ws['G' + str(row_data)].font = name_font |
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| 418 | ws['G' + str(row_data)].alignment = c_c_alignment |
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| 419 | if (reporting_period_data['stdevs_per_unit_area'][i]) \ |
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| 420 | or reporting_period_data['stdevs_per_unit_area'][i] == 0: |
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| 421 | ws['G' + str(row_data)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2) |
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| 422 | ws['G' + str(row_data)].border = f_border |
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| 423 | ws['G' + str(row_data)].number_format = '0.00' |
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| 424 | |||
| 425 | ws['H' + str(row_data)].font = name_font |
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| 426 | ws['H' + str(row_data)].alignment = c_c_alignment |
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| 427 | if reporting_period_data['variances_per_unit_area'][i] \ |
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| 428 | or reporting_period_data['variances_per_unit_area'][i] == 0: |
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| 429 | ws['H' + str(row_data)] = round(reporting_period_data['variances_per_unit_area'][i], 2) |
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| 430 | ws['H' + str(row_data)].border = f_border |
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| 431 | ws['H' + str(row_data)].number_format = '0.00' |
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| 432 | |||
| 433 | ######################################################## |
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| 434 | # Third: 详细数据 |
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| 435 | # row_sat+row_title~ row_sat+row_title+time_len: line |
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| 436 | # row_sat+1+row_title: table title |
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| 437 | # i + row_sat + 2 + 10 * ca_len~: table_data |
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| 438 | ######################################################## |
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| 439 | has_timestamps_flag = True |
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| 440 | if "timestamps" not in reporting_period_data.keys() or \ |
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| 441 | reporting_period_data['timestamps'] is None or \ |
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| 442 | len(reporting_period_data['timestamps']) == 0: |
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| 443 | has_timestamps_flag = False |
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| 444 | |||
| 445 | if has_timestamps_flag: |
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| 446 | timestamps = reporting_period_data['timestamps'][0] |
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| 447 | values = reporting_period_data['values'] |
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| 448 | names = reporting_period_data['names'] |
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| 449 | ca_len = len(names) |
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| 450 | time_len = len(timestamps) |
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| 451 | # title |
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| 452 | row_title = 10 * ca_len |
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| 453 | # row_st == row_statistical analysis table |
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| 454 | row_sat = 12 + 3 * ca_len |
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| 455 | |||
| 456 | ws['B' + str(row_sat + row_title)].font = title_font |
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| 457 | ws['B' + str(row_sat + row_title)] = name + ' 详细数据' |
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| 458 | # table_title |
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| 459 | ws['B' + str(row_sat + 1 + row_title)].fill = table_fill |
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| 460 | ws['B' + str(row_sat + 1 + row_title)].font = name_font |
||
| 461 | ws['B' + str(row_sat + 1 + row_title)].alignment = c_c_alignment |
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| 462 | ws['B' + str(row_sat + 1 + row_title)] = "时间" |
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| 463 | ws['B' + str(row_sat + 1 + row_title)].border = f_border |
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| 464 | |||
| 465 | for i in range(0, ca_len): |
||
| 466 | col = chr(ord('C') + i) |
||
| 467 | |||
| 468 | ws[col + str(row_sat + 1 + row_title)].font = name_font |
||
| 469 | ws[col + str(row_sat + 1 + row_title)].alignment = c_c_alignment |
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| 470 | ws[col + str(row_sat + 1 + row_title)] = names[i] + " - (" + reporting_period_data['units'][i] + ")" |
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| 471 | ws[col + str(row_sat + 1 + row_title)].border = f_border |
||
| 472 | # table_date |
||
| 473 | for i in range(0, time_len): |
||
| 474 | rows = i + row_sat + 2 + 10 * ca_len |
||
| 475 | |||
| 476 | ws['B' + str(rows)].font = name_font |
||
| 477 | ws['B' + str(rows)].alignment = c_c_alignment |
||
| 478 | ws['B' + str(rows)] = timestamps[i] |
||
| 479 | ws['B' + str(rows)].border = f_border |
||
| 480 | |||
| 481 | for index in range(0, ca_len): |
||
| 482 | col = chr(ord('C') + index) |
||
| 483 | |||
| 484 | ws[col + str(rows)].font = name_font |
||
| 485 | ws[col + str(rows)].alignment = c_c_alignment |
||
| 486 | ws[col + str(rows)] = round(values[index][i], 2) |
||
| 487 | ws[col + str(rows)].number_format = '0.00' |
||
| 488 | ws[col + str(rows)].border = f_border |
||
| 489 | |||
| 490 | # 小计 |
||
| 491 | row_subtotals = row_sat + 2 + time_len + 10 * ca_len |
||
| 492 | ws['B' + str(row_subtotals)].font = name_font |
||
| 493 | ws['B' + str(row_subtotals)].alignment = c_c_alignment |
||
| 494 | ws['B' + str(row_subtotals)] = "小计" |
||
| 495 | ws['B' + str(row_subtotals)].border = f_border |
||
| 496 | |||
| 497 | for i in range(0, ca_len): |
||
| 498 | col = chr(ord('C') + i) |
||
| 499 | |||
| 500 | ws[col + str(row_subtotals)].font = name_font |
||
| 501 | ws[col + str(row_subtotals)].alignment = c_c_alignment |
||
| 502 | ws[col + str(row_subtotals)] = round(reporting_period_data['subtotals'][i], 2) |
||
| 503 | ws[col + str(row_subtotals)].border = f_border |
||
| 504 | ws[col + str(row_subtotals)].number_format = '0.00' |
||
| 505 | |||
| 506 | # LineChart |
||
| 507 | for i in range(0, ca_len): |
||
| 508 | lc = LineChart() |
||
| 509 | lc.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")" |
||
| 510 | lc.style = 10 |
||
| 511 | lc.height = 8.40 # cm 1.05*8 1.05cm = 30 pt |
||
| 512 | lc.width = 31 |
||
| 513 | lc.x_axis.majorTickMark = 'in' |
||
| 514 | lc.y_axis.majorTickMark = 'in' |
||
| 515 | times = Reference(ws, min_col=2, min_row=row_sat + 2 + row_title, |
||
| 516 | max_row=row_sat + 2 + row_title + time_len) |
||
| 517 | lc_data = Reference(ws, min_col=3 + i, min_row=row_sat + 1 + row_title, |
||
| 518 | max_row=row_sat + 1 + row_title + time_len) |
||
| 519 | lc.add_data(lc_data, titles_from_data=True) |
||
| 520 | lc.set_categories(times) |
||
| 521 | ser = lc.series[0] |
||
| 522 | ser.marker.symbol = "diamond" |
||
| 523 | ser.marker.size = 5 |
||
| 524 | ws.add_chart(lc, 'B' + str(row_sat + 10 * i)) |
||
| 525 | |||
| 526 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 527 | wb.save(filename) |
||
| 528 | |||
| 529 | return filename |
||
| 530 |
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