myems /
myems-api
| Total Complexity | 47 |
| Total Lines | 566 |
| Duplicated Lines | 44.17 % |
| 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.tenantsaving 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 | LineChart, |
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| 6 | PieChart, |
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| 7 | BarChart, |
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| 8 | Reference, |
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| 9 | ) |
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| 10 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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| 11 | from openpyxl.drawing.image import Image |
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| 12 | from openpyxl import Workbook |
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| 13 | from openpyxl.chart.label import DataLabelList |
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| 14 | |||
| 15 | |||
| 16 | #################################################################################################################### |
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| 17 | # PROCEDURES |
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| 18 | # Step 1: Validate the report data |
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| 19 | # Step 2: Generate excel file |
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| 20 | # Step 3: Encode the excel file bytes to Base64 |
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| 21 | #################################################################################################################### |
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| 22 | |||
| 23 | |||
| 24 | def export(report, |
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| 25 | name, |
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| 26 | reporting_start_datetime_local, |
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| 27 | reporting_end_datetime_local, |
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| 28 | period_type): |
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| 29 | #################################################################################################################### |
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| 30 | # Step 1: Validate the report data |
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| 31 | #################################################################################################################### |
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| 32 | if report is None: |
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| 33 | return None |
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| 34 | print(report) |
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| 35 | |||
| 36 | #################################################################################################################### |
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| 37 | # Step 2: Generate excel file from the report data |
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| 38 | #################################################################################################################### |
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| 39 | filename = generate_excel(report, |
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| 40 | name, |
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| 41 | reporting_start_datetime_local, |
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| 42 | reporting_end_datetime_local, |
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| 43 | period_type) |
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| 44 | #################################################################################################################### |
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| 45 | # Step 3: Encode the excel file to Base64 |
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| 46 | #################################################################################################################### |
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| 47 | try: |
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| 48 | with open(filename, 'rb') as binary_file: |
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| 49 | binary_file_data = binary_file.read() |
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| 50 | except IOError as ex: |
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| 51 | pass |
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| 52 | |||
| 53 | # Base64 encode the bytes |
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| 54 | base64_encoded_data = base64.b64encode(binary_file_data) |
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|
introduced
by
|
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| 55 | # get the Base64 encoded data using human-readable characters. |
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| 56 | base64_message = base64_encoded_data.decode('utf-8') |
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| 57 | # delete the file from server |
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| 58 | try: |
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| 59 | os.remove(filename) |
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| 60 | except NotImplementedError as ex: |
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| 61 | pass |
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| 62 | return base64_message |
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| 63 | |||
| 64 | |||
| 65 | def generate_excel(report, |
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| 66 | name, |
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| 67 | reporting_start_datetime_local, |
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| 68 | reporting_end_datetime_local, |
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| 69 | period_type): |
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| 70 | wb = Workbook() |
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| 71 | ws = wb.active |
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| 72 | |||
| 73 | # Row height |
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| 74 | ws.row_dimensions[1].height = 102 |
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| 75 | for i in range(2, 2000 + 1): |
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| 76 | ws.row_dimensions[i].height = 42 |
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| 77 | |||
| 78 | # Col width |
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| 79 | ws.column_dimensions['A'].width = 1.5 |
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| 80 | |||
| 81 | ws.column_dimensions['B'].width = 25.0 |
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| 82 | |||
| 83 | for i in range(ord('C'), ord('L')): |
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| 84 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 85 | |||
| 86 | # Font |
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| 87 | name_font = Font(name='Constantia', size=15, bold=True) |
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| 88 | title_font = Font(name='宋体', size=15, bold=True) |
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| 89 | data_font = Font(name='Franklin Gothic Book', size=11) |
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| 90 | |||
| 91 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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| 92 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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| 93 | right=Side(border_style='medium', color='00000000'), |
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| 94 | bottom=Side(border_style='medium', color='00000000'), |
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| 95 | top=Side(border_style='medium', color='00000000') |
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| 96 | ) |
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| 97 | b_border = Border( |
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| 98 | bottom=Side(border_style='medium', color='00000000'), |
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| 99 | ) |
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| 100 | |||
| 101 | b_c_alignment = Alignment(vertical='bottom', |
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| 102 | horizontal='center', |
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| 103 | text_rotation=0, |
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| 104 | wrap_text=True, |
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| 105 | shrink_to_fit=False, |
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| 106 | indent=0) |
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| 107 | c_c_alignment = Alignment(vertical='center', |
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| 108 | horizontal='center', |
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| 109 | text_rotation=0, |
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| 110 | wrap_text=True, |
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| 111 | shrink_to_fit=False, |
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| 112 | indent=0) |
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| 113 | b_r_alignment = Alignment(vertical='bottom', |
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| 114 | horizontal='right', |
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| 115 | text_rotation=0, |
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| 116 | wrap_text=True, |
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| 117 | shrink_to_fit=False, |
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| 118 | indent=0) |
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| 119 | c_r_alignment = Alignment(vertical='bottom', |
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| 120 | horizontal='center', |
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| 121 | text_rotation=0, |
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| 122 | wrap_text=True, |
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| 123 | shrink_to_fit=False, |
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| 124 | indent=0) |
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| 125 | |||
| 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.row_dimensions[3].height = 60 |
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| 135 | |||
| 136 | ws['B3'].font = name_font |
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| 137 | ws['B3'].alignment = b_r_alignment |
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| 138 | ws['B3'] = 'Name:' |
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| 139 | ws['C3'].border = b_border |
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| 140 | ws['C3'].alignment = b_c_alignment |
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| 141 | ws['C3'].font = name_font |
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| 142 | ws['C3'] = name |
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| 143 | |||
| 144 | ws['D3'].font = name_font |
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| 145 | ws['D3'].alignment = b_r_alignment |
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| 146 | ws['D3'] = 'Period:' |
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| 147 | ws['E3'].border = b_border |
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| 148 | ws['E3'].alignment = b_c_alignment |
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| 149 | ws['E3'].font = name_font |
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| 150 | ws['E3'] = period_type |
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| 151 | |||
| 152 | ws['F3'].font = name_font |
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| 153 | ws['F3'].alignment = b_r_alignment |
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| 154 | ws['F3'] = 'Date:' |
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| 155 | ws['G3'].alignment = b_c_alignment |
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| 156 | ws['G3'].font = name_font |
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| 157 | ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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| 158 | ws.merge_cells("G3:H3") |
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| 159 | |||
| 160 | if "reporting_period" not in report.keys() or \ |
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| 161 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 162 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 163 | wb.save(filename) |
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| 164 | |||
| 165 | return filename |
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| 166 | |||
| 167 | ################################## |
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| 168 | |||
| 169 | current_row_number = 6 |
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| 170 | |||
| 171 | reporting_period_data = report['reporting_period'] |
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| 172 | |||
| 173 | has_names_data_flag = True |
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| 174 | |||
| 175 | if "names" not in reporting_period_data.keys() or \ |
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| 176 | reporting_period_data['names'] is None or \ |
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| 177 | len(reporting_period_data['names']) == 0: |
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| 178 | has_names_data_flag = False |
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| 179 | |||
| 180 | View Code Duplication | if has_names_data_flag: |
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| 181 | ws['B' + str(current_row_number)].font = title_font |
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| 182 | ws['B' + str(current_row_number)] = name + ' 报告期节约' |
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| 183 | |||
| 184 | current_row_number += 1 |
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| 185 | |||
| 186 | category = reporting_period_data['names'] |
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| 187 | ca_len = len(category) |
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| 188 | |||
| 189 | ws.row_dimensions[current_row_number].height = 75.0 |
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| 190 | ws['B' + str(current_row_number)].fill = table_fill |
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| 191 | ws['B' + str(current_row_number)].border = f_border |
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| 192 | |||
| 193 | col = 'C' |
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| 194 | |||
| 195 | for i in range(0, ca_len): |
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| 196 | ws[col + str(current_row_number)].fill = table_fill |
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| 197 | ws[col + str(current_row_number)].font = name_font |
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| 198 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 199 | ws[col + str(current_row_number)].border = f_border |
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| 200 | ws[col + str(current_row_number)] = \ |
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| 201 | reporting_period_data['names'][i] + " (基线-实际) (" + reporting_period_data['units'][i] + ")" |
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| 202 | |||
| 203 | col = chr(ord(col) + 1) |
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| 204 | |||
| 205 | ws[col + str(current_row_number)].fill = table_fill |
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| 206 | ws[col + str(current_row_number)].font = name_font |
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| 207 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 208 | ws[col + str(current_row_number)].border = f_border |
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| 209 | ws[col + str(current_row_number)] = '吨标准煤 (基线-实际) (TCE)' |
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| 210 | |||
| 211 | col = chr(ord(col) + 1) |
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| 212 | |||
| 213 | ws[col + str(current_row_number)].fill = table_fill |
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| 214 | ws[col + str(current_row_number)].font = name_font |
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| 215 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 216 | ws[col + str(current_row_number)].border = f_border |
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| 217 | ws[col + str(current_row_number)] = '吨二氧化碳排放 (基线-实际) (TCO2E)' |
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| 218 | |||
| 219 | col = chr(ord(col) + 1) |
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| 220 | |||
| 221 | current_row_number += 1 |
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| 222 | |||
| 223 | ws['B' + str(current_row_number)].font = title_font |
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| 224 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 225 | ws['B' + str(current_row_number)].border = f_border |
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| 226 | ws['B' + str(current_row_number)] = '节约' |
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| 227 | |||
| 228 | col = 'C' |
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| 229 | |||
| 230 | for i in range(0, ca_len): |
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| 231 | ws[col + str(current_row_number)].font = name_font |
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| 232 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 233 | ws[col + str(current_row_number)].border = f_border |
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| 234 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_saving'][i], 2) |
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| 235 | |||
| 236 | col = chr(ord(col) + 1) |
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| 237 | |||
| 238 | ws[col + str(current_row_number)].font = name_font |
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| 239 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 240 | ws[col + str(current_row_number)].border = f_border |
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| 241 | ws[col + str(current_row_number)] = round(reporting_period_data['total_in_kgce_saving'] / 1000, 2) |
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| 242 | |||
| 243 | col = chr(ord(col) + 1) |
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| 244 | |||
| 245 | ws[col + str(current_row_number)].font = name_font |
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| 246 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 247 | ws[col + str(current_row_number)].border = f_border |
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| 248 | ws[col + str(current_row_number)] = round(reporting_period_data['total_in_kgco2e_saving'] / 1000, 2) |
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| 249 | |||
| 250 | col = chr(ord(col) + 1) |
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| 251 | |||
| 252 | current_row_number += 1 |
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| 253 | |||
| 254 | ws['B' + str(current_row_number)].font = title_font |
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| 255 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 256 | ws['B' + str(current_row_number)].border = f_border |
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| 257 | ws['B' + str(current_row_number)] = '单位面积值' |
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| 258 | |||
| 259 | col = 'C' |
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| 260 | |||
| 261 | for i in range(0, ca_len): |
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| 262 | ws[col + str(current_row_number)].font = name_font |
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| 263 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 264 | ws[col + str(current_row_number)].border = f_border |
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| 265 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area_saving'][i], 2) |
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| 266 | |||
| 267 | col = chr(ord(col) + 1) |
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| 268 | |||
| 269 | ws[col + str(current_row_number)].font = name_font |
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| 270 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 271 | ws[col + str(current_row_number)].border = f_border |
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| 272 | ws[col + str(current_row_number)] = round(reporting_period_data['total_in_kgco2e_per_unit_area_saving'] |
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| 273 | / 1000, 2) |
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| 274 | |||
| 275 | col = chr(ord(col) + 1) |
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| 276 | |||
| 277 | ws[col + str(current_row_number)].font = name_font |
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| 278 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 279 | ws[col + str(current_row_number)].border = f_border |
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| 280 | ws[col + str(current_row_number)] = round(reporting_period_data['total_in_kgce_per_unit_area_saving'] / 1000, 2) |
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| 281 | |||
| 282 | col = chr(ord(col) + 1) |
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| 283 | |||
| 284 | current_row_number += 1 |
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| 285 | |||
| 286 | ws['B' + str(current_row_number)].font = title_font |
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| 287 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 288 | ws['B' + str(current_row_number)].border = f_border |
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| 289 | ws['B' + str(current_row_number)] = '环比' |
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| 290 | |||
| 291 | col = 'C' |
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| 292 | |||
| 293 | for i in range(0, ca_len): |
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| 294 | ws[col + str(current_row_number)].font = name_font |
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| 295 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 296 | ws[col + str(current_row_number)].border = f_border |
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| 297 | ws[col + str(current_row_number)] = str( |
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| 298 | round(reporting_period_data['increment_rates_saving'][i] * 100, 2)) + '%' \ |
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| 299 | if reporting_period_data['increment_rates_saving'][i] is not None else '-' |
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| 300 | |||
| 301 | col = chr(ord(col) + 1) |
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| 302 | |||
| 303 | ws[col + str(current_row_number)].font = name_font |
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| 304 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 305 | ws[col + str(current_row_number)].border = f_border |
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| 306 | ws[col + str(current_row_number)] = str( |
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| 307 | round(reporting_period_data['increment_rate_in_kgce_saving'] * 100, 2)) + '%' \ |
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| 308 | if reporting_period_data['increment_rate_in_kgce_saving'] is not None else '-' |
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| 309 | |||
| 310 | col = chr(ord(col) + 1) |
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| 311 | |||
| 312 | ws[col + str(current_row_number)].font = name_font |
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| 313 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 314 | ws[col + str(current_row_number)].border = f_border |
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| 315 | ws[col + str(current_row_number)] = str( |
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| 316 | round(reporting_period_data['increment_rate_in_kgco2e_saving'] * 100, 2)) + '%' \ |
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| 317 | if reporting_period_data['increment_rate_in_kgco2e_saving'] is not None else '-' |
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| 318 | |||
| 319 | col = chr(ord(col) + 1) |
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| 320 | |||
| 321 | current_row_number += 2 |
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| 322 | |||
| 323 | ws['B' + str(current_row_number)].font = title_font |
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| 324 | ws['B' + str(current_row_number)] = name + ' 吨标准煤(TCE)占比' |
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| 325 | |||
| 326 | current_row_number += 1 |
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| 327 | table_start_row_number = current_row_number |
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| 328 | chart_start_row_number = current_row_number |
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| 329 | |||
| 330 | ws.row_dimensions[current_row_number].height = 60 |
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| 331 | ws['B' + str(current_row_number)].fill = table_fill |
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| 332 | ws['B' + str(current_row_number)].border = f_border |
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| 333 | |||
| 334 | ws['C' + str(current_row_number)].fill = table_fill |
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| 335 | ws['C' + str(current_row_number)].font = name_font |
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| 336 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 337 | ws['C' + str(current_row_number)].border = f_border |
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| 338 | ws['C' + str(current_row_number)] = '吨标准煤(TCE)占比' |
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| 339 | |||
| 340 | current_row_number += 1 |
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| 341 | |||
| 342 | for i in range(0, ca_len): |
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| 343 | ws['B' + str(current_row_number)].font = title_font |
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| 344 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 345 | ws['B' + str(current_row_number)].border = f_border |
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| 346 | ws['B' + str(current_row_number)] = reporting_period_data['names'][i] |
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| 347 | |||
| 348 | ws['C' + str(current_row_number)].font = name_font |
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| 349 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 350 | ws['C' + str(current_row_number)].border = f_border |
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| 351 | ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals_in_kgce_saving'][i] / 1000, 3) |
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| 352 | |||
| 353 | current_row_number += 1 |
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| 354 | |||
| 355 | table_end_row_number = current_row_number - 1 |
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| 356 | |||
| 357 | if ca_len < 4: |
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| 358 | current_row_number = current_row_number - ca_len + 4 |
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| 359 | |||
| 360 | current_row_number += 1 |
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| 361 | |||
| 362 | pie = PieChart() |
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| 363 | pie.title = name + ' 吨标准煤(TCE)占比' |
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| 364 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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| 365 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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| 366 | pie.add_data(pie_data, titles_from_data=True) |
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| 367 | pie.set_categories(labels) |
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| 368 | pie.height = 7.25 |
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| 369 | pie.width = 9 |
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| 370 | s1 = pie.series[0] |
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| 371 | s1.dLbls = DataLabelList() |
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| 372 | s1.dLbls.showCatName = False |
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| 373 | s1.dLbls.showVal = True |
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| 374 | s1.dLbls.showPercent = True |
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| 375 | ws.add_chart(pie, 'D' + str(chart_start_row_number)) |
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| 376 | |||
| 377 | ws['B' + str(current_row_number)].font = title_font |
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| 378 | ws['B' + str(current_row_number)] = name + ' 吨二氧化碳排放(TCO2E)占比' |
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| 379 | |||
| 380 | current_row_number += 1 |
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| 381 | table_start_row_number = current_row_number |
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| 382 | chart_start_row_number = current_row_number |
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| 383 | |||
| 384 | ws.row_dimensions[current_row_number].height = 60 |
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| 385 | ws['B' + str(current_row_number)].fill = table_fill |
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| 386 | ws['B' + str(current_row_number)].border = f_border |
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| 387 | |||
| 388 | ws['C' + str(current_row_number)].fill = table_fill |
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| 389 | ws['C' + str(current_row_number)].font = name_font |
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| 390 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 391 | ws['C' + str(current_row_number)].border = f_border |
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| 392 | ws['C' + str(current_row_number)] = '吨二氧化碳排放(TCO2E)占比' |
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| 393 | |||
| 394 | current_row_number += 1 |
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| 395 | |||
| 396 | for i in range(0, ca_len): |
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| 397 | ws['B' + str(current_row_number)].font = title_font |
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| 398 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 399 | ws['B' + str(current_row_number)].border = f_border |
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| 400 | ws['B' + str(current_row_number)] = reporting_period_data['names'][i] |
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| 401 | |||
| 402 | ws['C' + str(current_row_number)].font = name_font |
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| 403 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 404 | ws['C' + str(current_row_number)].border = f_border |
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| 405 | ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals_in_kgco2e_saving'][i] / 1000, 3) |
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| 406 | |||
| 407 | current_row_number += 1 |
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| 408 | |||
| 409 | table_end_row_number = current_row_number - 1 |
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| 410 | |||
| 411 | if ca_len < 4: |
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| 412 | current_row_number = current_row_number - ca_len + 4 |
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| 413 | |||
| 414 | current_row_number += 1 |
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| 415 | |||
| 416 | pie = PieChart() |
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| 417 | pie.title = name + ' 吨二氧化碳排放(TCO2E)占比' |
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| 418 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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| 419 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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| 420 | pie.add_data(pie_data, titles_from_data=True) |
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| 421 | pie.set_categories(labels) |
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| 422 | pie.height = 7.25 |
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| 423 | pie.width = 9 |
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| 424 | s1 = pie.series[0] |
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| 425 | s1.dLbls = DataLabelList() |
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| 426 | s1.dLbls.showCatName = False |
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| 427 | s1.dLbls.showVal = True |
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| 428 | s1.dLbls.showPercent = True |
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| 429 | ws.add_chart(pie, 'D' + str(chart_start_row_number)) |
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| 430 | |||
| 431 | ############################################# |
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| 432 | |||
| 433 | has_values_saving_data = True |
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| 434 | has_timestamps_data = True |
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| 435 | |||
| 436 | if 'values_saving' not in reporting_period_data.keys() or \ |
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| 437 | reporting_period_data['values_saving'] is None or \ |
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| 438 | len(reporting_period_data['values_saving']) == 0: |
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| 439 | has_values_saving_data = False |
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| 440 | |||
| 441 | if 'timestamps' not in reporting_period_data.keys() or \ |
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| 442 | reporting_period_data['timestamps'] is None or \ |
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| 443 | len(reporting_period_data['timestamps']) == 0 or \ |
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| 444 | len(reporting_period_data['timestamps'][0]) == 0: |
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| 445 | has_timestamps_data = False |
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| 446 | |||
| 447 | if has_values_saving_data and has_timestamps_data: |
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| 448 | ca_len = len(reporting_period_data['names']) |
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| 449 | time = reporting_period_data['timestamps'][0] |
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| 450 | |||
| 451 | ws['B' + str(current_row_number)].font = title_font |
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| 452 | ws['B' + str(current_row_number)] = name + ' 详细数据' |
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| 453 | |||
| 454 | current_row_number += 1 |
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| 455 | |||
| 456 | chart_start_row_number = current_row_number |
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| 457 | |||
| 458 | current_row_number += ca_len * 6 |
||
| 459 | table_start_row_number = current_row_number |
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| 460 | |||
| 461 | ws.row_dimensions[current_row_number].height = 60 |
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| 462 | ws['B' + str(current_row_number)].fill = table_fill |
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| 463 | ws['B' + str(current_row_number)].font = title_font |
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| 464 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 465 | ws['B' + str(current_row_number)].border = f_border |
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| 466 | ws['B' + str(current_row_number)] = '日期时间' |
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| 467 | |||
| 468 | col = 'C' |
||
| 469 | |||
| 470 | for i in range(0, ca_len): |
||
| 471 | ws[col + str(current_row_number)].fill = table_fill |
||
| 472 | ws[col + str(current_row_number)].font = title_font |
||
| 473 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 474 | ws[col + str(current_row_number)].border = f_border |
||
| 475 | ws[col + str(current_row_number)] = \ |
||
| 476 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
| 477 | col = chr(ord(col) + 1) |
||
| 478 | |||
| 479 | current_row_number += 1 |
||
| 480 | |||
| 481 | for i in range(0, len(time)): |
||
| 482 | ws['B' + str(current_row_number)].font = title_font |
||
| 483 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
||
| 484 | ws['B' + str(current_row_number)].border = f_border |
||
| 485 | ws['B' + str(current_row_number)] = time[i] |
||
| 486 | |||
| 487 | col = 'C' |
||
| 488 | for j in range(0, ca_len): |
||
| 489 | ws[col + str(current_row_number)].font = title_font |
||
| 490 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 491 | ws[col + str(current_row_number)].border = f_border |
||
| 492 | ws[col + str(current_row_number)] = round(reporting_period_data['values_saving'][j][i], 2) \ |
||
| 493 | if reporting_period_data['values_saving'][j][i] is not None else 0.00 |
||
| 494 | col = chr(ord(col) + 1) |
||
| 495 | |||
| 496 | current_row_number += 1 |
||
| 497 | |||
| 498 | table_end_row_number = current_row_number - 1 |
||
| 499 | |||
| 500 | ws['B' + str(current_row_number)].font = title_font |
||
| 501 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
||
| 502 | ws['B' + str(current_row_number)].border = f_border |
||
| 503 | ws['B' + str(current_row_number)] = '小计' |
||
| 504 | |||
| 505 | col = 'C' |
||
| 506 | |||
| 507 | for i in range(0, ca_len): |
||
| 508 | ws[col + str(current_row_number)].font = title_font |
||
| 509 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 510 | ws[col + str(current_row_number)].border = f_border |
||
| 511 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_saving'][i], 2) |
||
| 512 | col = chr(ord(col) + 1) |
||
| 513 | |||
| 514 | current_row_number += 2 |
||
| 515 | |||
| 516 | format_time_width_number = 1.0 |
||
| 517 | min_len_number = 1.0 |
||
| 518 | min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0 |
||
| 519 | |||
| 520 | if period_type == 'hourly': |
||
| 521 | format_time_width_number = 4.0 |
||
| 522 | min_len_number = 2 |
||
| 523 | min_width_number = 12.0 |
||
| 524 | elif period_type == 'daily': |
||
| 525 | format_time_width_number = 2.5 |
||
| 526 | min_len_number = 4 |
||
| 527 | min_width_number = 14.0 |
||
| 528 | elif period_type == 'monthly': |
||
| 529 | format_time_width_number = 2.1 |
||
| 530 | min_len_number = 4 |
||
| 531 | min_width_number = 12.4 |
||
| 532 | elif period_type == 'yearly': |
||
| 533 | format_time_width_number = 1.5 |
||
| 534 | min_len_number = 5 |
||
| 535 | min_width_number = 11.5 |
||
| 536 | |||
| 537 | for i in range(0, ca_len): |
||
| 538 | line = LineChart() |
||
| 539 | line.title = '报告期节约 - ' + \ |
||
| 540 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
| 541 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
||
| 542 | line_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number) |
||
| 543 | line.add_data(line_data, titles_from_data=True) |
||
| 544 | line.set_categories(labels) |
||
| 545 | line_data = line.series[0] |
||
| 546 | line_data.marker.symbol = "circle" |
||
| 547 | line_data.smooth = True |
||
| 548 | line.x_axis.crosses = 'min' |
||
| 549 | line.height = 8.25 |
||
| 550 | line.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number |
||
| 551 | if line.width > 24: |
||
| 552 | line.width = 24 |
||
| 553 | line.dLbls = DataLabelList() |
||
| 554 | line.dLbls.dLblPos = 't' |
||
| 555 | line.dLbls.showVal = True |
||
| 556 | line.dLbls.showPercent = False |
||
| 557 | chart_col = 'B' |
||
| 558 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 559 | chart_start_row_number += 6 |
||
| 560 | ws.add_chart(line, chart_cell) |
||
| 561 | |||
| 562 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 563 | wb.save(filename) |
||
| 564 | |||
| 565 | return filename |
||
| 566 |
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