MyEMS /
myems
| Total Complexity | 77 |
| Total Lines | 761 |
| Duplicated Lines | 94.74 % |
| 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.storecarbon 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 | import re |
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| 5 | from decimal import Decimal |
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| 6 | from openpyxl.chart import PieChart, Reference, LineChart |
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| 7 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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| 8 | from openpyxl.drawing.image import Image |
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| 9 | from openpyxl import Workbook |
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| 10 | from openpyxl.chart.label import DataLabelList |
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| 11 | import openpyxl.utils.cell as format_cell |
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| 12 | |||
| 13 | ######################################################################################################################## |
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| 14 | # PROCEDURES |
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| 15 | # Step 1: Validate the report data |
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| 16 | # Step 2: Generate excel file |
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| 17 | # Step 3: Encode the excel file bytes to Base64 |
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| 18 | ######################################################################################################################## |
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| 19 | |||
| 20 | |||
| 21 | View Code Duplication | def export(report, |
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Duplication
introduced
by
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| 22 | name, |
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| 23 | reporting_start_datetime_local, |
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| 24 | reporting_end_datetime_local, |
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| 25 | period_type): |
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| 26 | #################################################################################################################### |
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| 27 | # Step 1: Validate the report data |
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| 28 | #################################################################################################################### |
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| 29 | if report is None: |
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| 30 | return None |
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| 31 | |||
| 32 | #################################################################################################################### |
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| 33 | # Step 2: Generate excel file from the report data |
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| 34 | #################################################################################################################### |
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| 35 | filename = generate_excel(report, |
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| 36 | name, |
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| 37 | reporting_start_datetime_local, |
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| 38 | reporting_end_datetime_local, |
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| 39 | period_type) |
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| 40 | #################################################################################################################### |
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| 41 | # Step 3: Encode the excel file to Base64 |
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| 42 | #################################################################################################################### |
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| 43 | binary_file_data = b'' |
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| 44 | try: |
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| 45 | with open(filename, 'rb') as binary_file: |
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| 46 | binary_file_data = binary_file.read() |
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| 47 | except IOError as ex: |
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| 48 | pass |
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| 49 | |||
| 50 | # Base64 encode the bytes |
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| 51 | base64_encoded_data = base64.b64encode(binary_file_data) |
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| 52 | # get the Base64 encoded data using human-readable characters. |
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| 53 | base64_message = base64_encoded_data.decode('utf-8') |
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| 54 | # delete the file from server |
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| 55 | try: |
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| 56 | os.remove(filename) |
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| 57 | except NotImplementedError as ex: |
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| 58 | pass |
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| 59 | return base64_message |
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| 60 | |||
| 61 | |||
| 62 | View Code Duplication | def generate_excel(report, |
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| 63 | name, |
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| 64 | reporting_start_datetime_local, |
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| 65 | reporting_end_datetime_local, |
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| 66 | period_type): |
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| 67 | |||
| 68 | wb = Workbook() |
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| 69 | ws = wb.active |
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| 70 | ws.title = "StoreCarbon" |
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| 71 | |||
| 72 | # Row height |
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| 73 | ws.row_dimensions[1].height = 118 |
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| 74 | for i in range(2, 2000 + 1): |
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| 75 | ws.row_dimensions[i].height = 42 |
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| 76 | |||
| 77 | # Col width |
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| 78 | ws.column_dimensions['A'].width = 1.5 |
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| 79 | ws.column_dimensions['B'].width = 20.0 |
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| 80 | ws.column_dimensions['C'].width = 20.0 |
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| 81 | |||
| 82 | for i in range(ord('D'), ord('I')): |
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| 83 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 84 | |||
| 85 | # Font |
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| 86 | name_font = Font(name='Arial', size=15, bold=True) |
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| 87 | title_font = Font(name='Arial', size=15, bold=True) |
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| 88 | |||
| 89 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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| 90 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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| 91 | right=Side(border_style='medium', color='00000000'), |
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| 92 | bottom=Side(border_style='medium', color='00000000'), |
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| 93 | top=Side(border_style='medium', color='00000000') |
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| 94 | ) |
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| 95 | b_border = Border( |
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| 96 | bottom=Side(border_style='medium', color='00000000'), |
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| 97 | ) |
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| 98 | |||
| 99 | b_c_alignment = Alignment(vertical='bottom', |
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| 100 | horizontal='center', |
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| 101 | text_rotation=0, |
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| 102 | wrap_text=True, |
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| 103 | shrink_to_fit=False, |
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| 104 | indent=0) |
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| 105 | c_c_alignment = Alignment(vertical='center', |
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| 106 | horizontal='center', |
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| 107 | text_rotation=0, |
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| 108 | wrap_text=True, |
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| 109 | shrink_to_fit=False, |
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| 110 | indent=0) |
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| 111 | b_r_alignment = Alignment(vertical='bottom', |
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| 112 | horizontal='right', |
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| 113 | text_rotation=0, |
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| 114 | wrap_text=True, |
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| 115 | shrink_to_fit=False, |
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| 116 | indent=0) |
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| 117 | # Img |
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| 118 | img = Image("excelexporters/myems.png") |
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| 119 | ws.add_image(img, 'A1') |
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| 120 | |||
| 121 | # Title |
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| 122 | ws['B3'].alignment = b_r_alignment |
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| 123 | ws['B3'] = 'Name:' |
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| 124 | ws['C3'].border = b_border |
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| 125 | ws['C3'].alignment = b_c_alignment |
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| 126 | ws['C3'] = name |
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| 127 | |||
| 128 | ws['D3'].alignment = b_r_alignment |
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| 129 | ws['D3'] = 'Period:' |
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| 130 | ws['E3'].border = b_border |
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| 131 | ws['E3'].alignment = b_c_alignment |
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| 132 | ws['E3'] = period_type |
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| 133 | |||
| 134 | ws['B4'].alignment = b_r_alignment |
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| 135 | ws['B4'] = 'Reporting Start Datetime:' |
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| 136 | ws['C4'].border = b_border |
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| 137 | ws['C4'].alignment = b_c_alignment |
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| 138 | ws['C4'] = reporting_start_datetime_local |
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| 139 | |||
| 140 | ws['D4'].alignment = b_r_alignment |
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| 141 | ws['D4'] = 'Reporting End Datetime:' |
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| 142 | ws['E4'].border = b_border |
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| 143 | ws['E4'].alignment = b_c_alignment |
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| 144 | ws['E4'] = reporting_end_datetime_local |
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| 145 | |||
| 146 | if "reporting_period" not in report.keys() or \ |
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| 147 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 148 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 149 | wb.save(filename) |
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| 150 | return filename |
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| 151 | |||
| 152 | #################################################################################################################### |
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| 153 | |||
| 154 | reporting_period_data = report['reporting_period'] |
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| 155 | |||
| 156 | has_energy_data_flag = True |
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| 157 | if "names" not in reporting_period_data.keys() or \ |
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| 158 | reporting_period_data['names'] is None or \ |
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| 159 | len(reporting_period_data['names']) == 0: |
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| 160 | has_energy_data_flag = False |
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| 161 | |||
| 162 | if has_energy_data_flag: |
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| 163 | ws['B6'].font = title_font |
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| 164 | ws['B6'] = name + ' ' + 'Reporting Period Carbon Dioxide Emissions' |
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| 165 | |||
| 166 | category = reporting_period_data['names'] |
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| 167 | ca_len = len(category) |
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| 168 | |||
| 169 | ws['B7'].fill = table_fill |
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| 170 | |||
| 171 | ws['B8'].font = title_font |
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| 172 | ws['B8'].alignment = c_c_alignment |
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| 173 | ws['B8'] = 'Carbon Dioxide Emissions' |
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| 174 | ws['B8'].border = f_border |
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| 175 | |||
| 176 | ws['B9'].font = title_font |
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| 177 | ws['B9'].alignment = c_c_alignment |
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| 178 | ws['B9'] = 'Per Unit Area' |
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| 179 | ws['B9'].border = f_border |
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| 180 | |||
| 181 | ws['B10'].font = title_font |
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| 182 | ws['B10'].alignment = c_c_alignment |
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| 183 | ws['B10'] = 'Increment Rate' |
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| 184 | ws['B10'].border = f_border |
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| 185 | |||
| 186 | col = 'B' |
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| 187 | |||
| 188 | for i in range(0, ca_len): |
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| 189 | col = chr(ord('C') + i) |
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| 190 | ws[col + '7'].fill = table_fill |
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| 191 | ws[col + '7'].font = name_font |
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| 192 | ws[col + '7'].alignment = c_c_alignment |
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| 193 | ws[col + '7'] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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| 194 | ws[col + '7'].border = f_border |
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| 195 | |||
| 196 | ws[col + '8'].font = name_font |
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| 197 | ws[col + '8'].alignment = c_c_alignment |
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| 198 | ws[col + '8'] = round(reporting_period_data['subtotals'][i], 2) |
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| 199 | ws[col + '8'].border = f_border |
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| 200 | |||
| 201 | ws[col + '9'].font = name_font |
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| 202 | ws[col + '9'].alignment = c_c_alignment |
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| 203 | ws[col + '9'] = round(reporting_period_data['subtotals_per_unit_area'][i], 2) |
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| 204 | ws[col + '9'].border = f_border |
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| 205 | |||
| 206 | ws[col + '10'].font = name_font |
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| 207 | ws[col + '10'].alignment = c_c_alignment |
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| 208 | ws[col + '10'] = str(round(reporting_period_data['increment_rates'][i] * 100, 2)) + "%" \ |
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| 209 | if reporting_period_data['increment_rates'][i] is not None else "-" |
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| 210 | ws[col + '10'].border = f_border |
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| 211 | |||
| 212 | end_col = chr(ord(col)+1) |
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| 213 | ws[end_col + '7'].fill = table_fill |
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| 214 | ws[end_col + '7'].font = name_font |
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| 215 | ws[end_col + '7'].alignment = c_c_alignment |
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| 216 | ws[end_col + '7'] = "Total (" + reporting_period_data['total_unit'] + ")" |
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| 217 | ws[end_col + '7'].border = f_border |
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| 218 | |||
| 219 | ws[end_col + '8'].font = name_font |
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| 220 | ws[end_col + '8'].alignment = c_c_alignment |
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| 221 | ws[end_col + '8'] = round(reporting_period_data['total'], 2) |
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| 222 | ws[end_col + '8'].border = f_border |
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| 223 | |||
| 224 | ws[end_col + '9'].font = name_font |
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| 225 | ws[end_col + '9'].alignment = c_c_alignment |
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| 226 | ws[end_col + '9'] = round(reporting_period_data['total_per_unit_area'], 2) |
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| 227 | ws[end_col + '9'].border = f_border |
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| 228 | |||
| 229 | ws[end_col + '10'].font = name_font |
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| 230 | ws[end_col + '10'].alignment = c_c_alignment |
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| 231 | ws[end_col + '10'] = str(round(reporting_period_data['total_increment_rate'] * 100, 2)) + "%" \ |
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| 232 | if reporting_period_data['total_increment_rate'] is not None else "-" |
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| 233 | ws[end_col + '10'].border = f_border |
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| 234 | |||
| 235 | else: |
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| 236 | for i in range(6, 10 + 1): |
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| 237 | ws.row_dimensions[i].height = 0.1 |
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| 238 | |||
| 239 | #################################################################################################################### |
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| 240 | |||
| 241 | has_ele_peak_flag = True |
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| 242 | if "toppeaks" not in reporting_period_data.keys() or \ |
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| 243 | reporting_period_data['toppeaks'] is None or \ |
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| 244 | len(reporting_period_data['toppeaks']) == 0: |
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| 245 | has_ele_peak_flag = False |
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| 246 | |||
| 247 | if has_ele_peak_flag: |
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| 248 | ws['B12'].font = title_font |
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| 249 | ws['B12'] = name + ' ' + 'Electricity Carbon Dioxide Emissions by Time-Of-Use' |
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| 250 | |||
| 251 | ws['B13'].fill = table_fill |
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| 252 | ws['B13'].font = name_font |
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| 253 | ws['B13'].alignment = c_c_alignment |
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| 254 | ws['B13'].border = f_border |
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| 255 | |||
| 256 | ws['C13'].fill = table_fill |
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| 257 | ws['C13'].font = name_font |
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| 258 | ws['C13'].alignment = c_c_alignment |
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| 259 | ws['C13'].border = f_border |
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| 260 | ws['C13'] = 'Electricity Carbon Dioxide Emissions by Time-Of-Use' |
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| 261 | |||
| 262 | ws['B14'].font = title_font |
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| 263 | ws['B14'].alignment = c_c_alignment |
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| 264 | ws['B14'] = 'TopPeak' |
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| 265 | ws['B14'].border = f_border |
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| 266 | |||
| 267 | ws['C14'].font = title_font |
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| 268 | ws['C14'].alignment = c_c_alignment |
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| 269 | ws['C14'].border = f_border |
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| 270 | ws['C14'] = round(reporting_period_data['toppeaks'][0], 2) |
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| 271 | |||
| 272 | ws['B15'].font = title_font |
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| 273 | ws['B15'].alignment = c_c_alignment |
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| 274 | ws['B15'] = 'OnPeak' |
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| 275 | ws['B15'].border = f_border |
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| 276 | |||
| 277 | ws['C15'].font = title_font |
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| 278 | ws['C15'].alignment = c_c_alignment |
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| 279 | ws['C15'].border = f_border |
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| 280 | ws['C15'] = round(reporting_period_data['onpeaks'][0], 2) |
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| 281 | |||
| 282 | ws['B16'].font = title_font |
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| 283 | ws['B16'].alignment = c_c_alignment |
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| 284 | ws['B16'] = 'MidPeak' |
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| 285 | ws['B16'].border = f_border |
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| 286 | |||
| 287 | ws['C16'].font = title_font |
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| 288 | ws['C16'].alignment = c_c_alignment |
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| 289 | ws['C16'].border = f_border |
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| 290 | ws['C16'] = round(reporting_period_data['midpeaks'][0], 2) |
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| 291 | |||
| 292 | ws['B17'].font = title_font |
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| 293 | ws['B17'].alignment = c_c_alignment |
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| 294 | ws['B17'] = 'OffPeak' |
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| 295 | ws['B17'].border = f_border |
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| 296 | |||
| 297 | ws['C17'].font = title_font |
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| 298 | ws['C17'].alignment = c_c_alignment |
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| 299 | ws['C17'].border = f_border |
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| 300 | ws['C17'] = round(reporting_period_data['offpeaks'][0], 2) |
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| 301 | |||
| 302 | pie = PieChart() |
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| 303 | labels = Reference(ws, min_col=2, min_row=14, max_row=17) |
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| 304 | pie_data = Reference(ws, min_col=3, min_row=13, max_row=17) |
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| 305 | pie.add_data(pie_data, titles_from_data=True) |
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| 306 | pie.set_categories(labels) |
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| 307 | pie.height = 5.25 |
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| 308 | pie.width = 8 |
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| 309 | s1 = pie.series[0] |
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| 310 | s1.dLbls = DataLabelList() |
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| 311 | s1.dLbls.showCatName = False |
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| 312 | s1.dLbls.showVal = True |
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| 313 | s1.dLbls.showPercent = True |
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| 314 | ws.add_chart(pie, "D13") |
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| 315 | |||
| 316 | else: |
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| 317 | for i in range(12, 18 + 1): |
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| 318 | ws.row_dimensions[i].height = 0.1 |
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| 319 | |||
| 320 | #################################################################################################################### |
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| 321 | |||
| 322 | current_row_number = 19 |
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| 323 | |||
| 324 | has_subtotals_data_flag = True |
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| 325 | if "subtotals" not in reporting_period_data.keys() or \ |
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| 326 | reporting_period_data['subtotals'] is None or \ |
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| 327 | len(reporting_period_data['subtotals']) == 0: |
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| 328 | has_subtotals_data_flag = False |
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| 329 | |||
| 330 | if has_subtotals_data_flag: |
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| 331 | ws['B' + str(current_row_number)].font = title_font |
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| 332 | ws['B' + str(current_row_number)] = name + ' ' + 'Carbon Dioxide Emissions Proportion' |
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| 333 | |||
| 334 | current_row_number += 1 |
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| 335 | |||
| 336 | table_start_row_number = current_row_number |
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| 337 | |||
| 338 | ws['B' + str(current_row_number)].fill = table_fill |
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| 339 | ws['B' + str(current_row_number)].font = name_font |
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| 340 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 341 | ws['B' + str(current_row_number)].border = f_border |
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| 342 | |||
| 343 | ws['C' + str(current_row_number)].fill = table_fill |
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| 344 | ws['C' + str(current_row_number)].font = name_font |
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| 345 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 346 | ws['C' + str(current_row_number)].border = f_border |
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| 347 | ws['C' + str(current_row_number)] = 'Carbon Dioxide Emissions Proportion' |
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| 348 | |||
| 349 | current_row_number += 1 |
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| 350 | |||
| 351 | ca_len = len(reporting_period_data['names']) |
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| 352 | |||
| 353 | for i in range(0, ca_len): |
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| 354 | ws['B' + str(current_row_number)].font = title_font |
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| 355 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 356 | ws['B' + str(current_row_number)] = reporting_period_data['names'][i] |
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| 357 | ws['B' + str(current_row_number)].border = f_border |
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| 358 | |||
| 359 | ws['C' + str(current_row_number)].font = title_font |
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| 360 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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| 361 | ws['C' + str(current_row_number)].border = f_border |
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| 362 | ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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| 363 | |||
| 364 | current_row_number += 1 |
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| 365 | |||
| 366 | table_end_row_number = current_row_number - 1 |
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| 367 | |||
| 368 | pie = PieChart() |
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| 369 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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| 370 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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| 371 | pie.add_data(pie_data, titles_from_data=True) |
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| 372 | pie.set_categories(labels) |
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| 373 | pie.height = 5.25 |
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| 374 | pie.width = 8 |
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| 375 | s1 = pie.series[0] |
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| 376 | s1.dLbls = DataLabelList() |
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| 377 | s1.dLbls.showCatName = False |
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| 378 | s1.dLbls.showVal = True |
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| 379 | s1.dLbls.showPercent = True |
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| 380 | table_cell = 'D' + str(table_start_row_number) |
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| 381 | ws.add_chart(pie, table_cell) |
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| 382 | |||
| 383 | if ca_len < 4: |
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| 384 | current_row_number = current_row_number - ca_len + 4 |
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| 385 | |||
| 386 | else: |
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| 387 | for i in range(21, 29 + 1): |
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| 388 | current_row_number = 30 |
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| 389 | ws.row_dimensions[i].height = 0.1 |
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| 390 | |||
| 391 | #################################################################################################################### |
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| 392 | |||
| 393 | has_detail_data_flag = True |
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| 394 | |||
| 395 | table_start_draw_flag = current_row_number + 1 |
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| 396 | |||
| 397 | if "timestamps" not in reporting_period_data.keys() or \ |
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| 398 | reporting_period_data['timestamps'] is None or \ |
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| 399 | len(reporting_period_data['timestamps']) == 0: |
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| 400 | has_detail_data_flag = False |
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| 401 | |||
| 402 | if has_detail_data_flag: |
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| 403 | reporting_period_data = report['reporting_period'] |
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| 404 | times = reporting_period_data['timestamps'] |
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| 405 | ca_len = len(report['reporting_period']['names']) |
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| 406 | parameters_names_len = len(report['parameters']['names']) |
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| 407 | parameters_parameters_datas_len = 0 |
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| 408 | for i in range(0, parameters_names_len): |
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| 409 | if len(report['parameters']['timestamps'][i]) == 0: |
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| 410 | continue |
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| 411 | parameters_parameters_datas_len += 1 |
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| 412 | detail_data_table_start_row_number = current_row_number + (ca_len + parameters_parameters_datas_len) * 6 + 3 |
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| 413 | |||
| 414 | ws['B' + str(current_row_number)].font = title_font |
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| 415 | ws['B' + str(current_row_number)] = name + ' ' + 'Detailed Data' |
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| 416 | |||
| 417 | current_row_number = detail_data_table_start_row_number |
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| 418 | |||
| 419 | time = times[0] |
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| 420 | has_data = False |
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| 421 | |||
| 422 | if len(time) > 0: |
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| 423 | has_data = True |
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| 424 | |||
| 425 | if has_data: |
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| 426 | |||
| 427 | ws['B' + str(current_row_number)].fill = table_fill |
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| 428 | ws['B' + str(current_row_number)].border = f_border |
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| 429 | ws['B' + str(current_row_number)].font = title_font |
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| 430 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 431 | ws['B' + str(current_row_number)] = 'Datetime' |
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| 432 | |||
| 433 | col = 'B' |
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| 434 | |||
| 435 | for i in range(0, ca_len): |
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| 436 | col = chr(ord('C') + i) |
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| 437 | |||
| 438 | ws[col + str(current_row_number)].fill = table_fill |
||
| 439 | ws[col + str(current_row_number)].font = title_font |
||
| 440 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 441 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
||
| 442 | " (" + reporting_period_data['units'][i] + ")" |
||
| 443 | ws[col + str(current_row_number)].border = f_border |
||
| 444 | |||
| 445 | end_col = chr(ord(col) + 1) |
||
| 446 | |||
| 447 | ws[end_col + str(current_row_number)].fill = table_fill |
||
| 448 | ws[end_col + str(current_row_number)].font = title_font |
||
| 449 | ws[end_col + str(current_row_number)].alignment = c_c_alignment |
||
| 450 | ws[end_col + str(current_row_number)] = "Total (" + reporting_period_data['total_unit'] + ")" |
||
| 451 | ws[end_col + str(current_row_number)].border = f_border |
||
| 452 | |||
| 453 | current_row_number += 1 |
||
| 454 | |||
| 455 | for i in range(0, len(time)): |
||
| 456 | ws['B' + str(current_row_number)].font = title_font |
||
| 457 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
||
| 458 | ws['B' + str(current_row_number)] = time[i] |
||
| 459 | ws['B' + str(current_row_number)].border = f_border |
||
| 460 | |||
| 461 | col = 'B' |
||
| 462 | |||
| 463 | periodic_sum = Decimal(0.0) |
||
| 464 | |||
| 465 | for j in range(0, ca_len): |
||
| 466 | col = chr(ord('C') + j) |
||
| 467 | |||
| 468 | ws[col + str(current_row_number)].font = title_font |
||
| 469 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 470 | value = round(reporting_period_data['values'][j][i], 2) |
||
| 471 | periodic_sum += value |
||
| 472 | ws[col + str(current_row_number)] = value |
||
| 473 | ws[col + str(current_row_number)].border = f_border |
||
| 474 | |||
| 475 | end_col = chr(ord(col) + 1) |
||
| 476 | ws[end_col + str(current_row_number)].font = title_font |
||
| 477 | ws[end_col + str(current_row_number)].alignment = c_c_alignment |
||
| 478 | ws[end_col + str(current_row_number)] = round(periodic_sum, 2) |
||
| 479 | ws[end_col + str(current_row_number)].border = f_border |
||
| 480 | |||
| 481 | current_row_number += 1 |
||
| 482 | |||
| 483 | table_end_row_number = current_row_number - 1 |
||
| 484 | |||
| 485 | ws['B' + str(current_row_number)].font = title_font |
||
| 486 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
||
| 487 | ws['B' + str(current_row_number)] = 'Subtotal' |
||
| 488 | ws['B' + str(current_row_number)].border = f_border |
||
| 489 | |||
| 490 | col = 'B' |
||
| 491 | |||
| 492 | format_time_width_number = 1.0 |
||
| 493 | min_len_number = 1.0 |
||
| 494 | min_width_number = 11.0 |
||
| 495 | |||
| 496 | if period_type == 'hourly': |
||
| 497 | format_time_width_number = 4.0 |
||
| 498 | min_len_number = 2 |
||
| 499 | min_width_number = 12.0 |
||
| 500 | elif period_type == 'daily': |
||
| 501 | format_time_width_number = 2.5 |
||
| 502 | min_len_number = 4 |
||
| 503 | min_width_number = 14.0 |
||
| 504 | elif period_type == 'monthly': |
||
| 505 | format_time_width_number = 2.1 |
||
| 506 | min_len_number = 4 |
||
| 507 | min_width_number = 12.4 |
||
| 508 | elif period_type == 'yearly': |
||
| 509 | format_time_width_number = 1.5 |
||
| 510 | min_len_number = 5 |
||
| 511 | min_width_number = 11.5 |
||
| 512 | |||
| 513 | for i in range(0, ca_len): |
||
| 514 | col = chr(ord('C') + i) |
||
| 515 | ws[col + str(current_row_number)].font = title_font |
||
| 516 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 517 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
||
| 518 | ws[col + str(current_row_number)].border = f_border |
||
| 519 | |||
| 520 | line = LineChart() |
||
| 521 | line.title = 'Reporting Period Carbon Dioxide Emissions - ' + \ |
||
| 522 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
| 523 | labels = Reference(ws, min_col=2, min_row=detail_data_table_start_row_number + 1, |
||
| 524 | max_row=table_end_row_number) |
||
| 525 | line_data = Reference(ws, min_col=3 + i, min_row=detail_data_table_start_row_number, |
||
| 526 | max_row=table_end_row_number) |
||
| 527 | line.add_data(line_data, titles_from_data=True) |
||
| 528 | line.set_categories(labels) |
||
| 529 | line_data = line.series[0] |
||
| 530 | line_data.marker.symbol = "circle" |
||
| 531 | line_data.smooth = True |
||
| 532 | line.height = 8.25 |
||
| 533 | line.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number |
||
| 534 | if line.width > 24: |
||
| 535 | line.width = 24 |
||
| 536 | line.x_axis.crosses = 'min' |
||
| 537 | line.dLbls = DataLabelList() |
||
| 538 | line.dLbls.dLblPos = 't' |
||
| 539 | line.dLbls.showVal = True |
||
| 540 | line.dLbls.showPercent = False |
||
| 541 | chart_col = 'B' |
||
| 542 | chart_cell = chart_col + str(table_start_draw_flag + 6 * i) |
||
| 543 | ws.add_chart(line, chart_cell) |
||
| 544 | |||
| 545 | end_col = chr(ord(col) + 1) |
||
| 546 | ws[end_col + str(current_row_number)].font = title_font |
||
| 547 | ws[end_col + str(current_row_number)].alignment = c_c_alignment |
||
| 548 | ws[end_col + str(current_row_number)] = round(reporting_period_data['total'], 2) |
||
| 549 | ws[end_col + str(current_row_number)].border = f_border |
||
| 550 | |||
| 551 | current_row_number += 1 |
||
| 552 | |||
| 553 | else: |
||
| 554 | for i in range(30, 69 + 1): |
||
| 555 | current_row_number = 70 |
||
| 556 | ws.row_dimensions[i].height = 0.1 |
||
| 557 | |||
| 558 | #################################################################################################################### |
||
| 559 | has_parameters_names_and_timestamps_and_values_data = True |
||
| 560 | |||
| 561 | ca_len = len(report['reporting_period']['names']) |
||
| 562 | current_sheet_parameters_row_number = table_start_draw_flag + ca_len * 6 |
||
| 563 | if 'parameters' not in report.keys() or \ |
||
| 564 | report['parameters'] is None or \ |
||
| 565 | 'names' not in report['parameters'].keys() or \ |
||
| 566 | report['parameters']['names'] is None or \ |
||
| 567 | len(report['parameters']['names']) == 0 or \ |
||
| 568 | 'timestamps' not in report['parameters'].keys() or \ |
||
| 569 | report['parameters']['timestamps'] is None or \ |
||
| 570 | len(report['parameters']['timestamps']) == 0 or \ |
||
| 571 | 'values' not in report['parameters'].keys() or \ |
||
| 572 | report['parameters']['values'] is None or \ |
||
| 573 | len(report['parameters']['values']) == 0 or \ |
||
| 574 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
| 575 | has_parameters_names_and_timestamps_and_values_data = False |
||
| 576 | if has_parameters_names_and_timestamps_and_values_data: |
||
| 577 | |||
| 578 | ################################################################################################################ |
||
| 579 | # new worksheet |
||
| 580 | ################################################################################################################ |
||
| 581 | |||
| 582 | parameters_data = report['parameters'] |
||
| 583 | |||
| 584 | parameters_names_len = len(parameters_data['names']) |
||
| 585 | |||
| 586 | file_name = "Store" + re.sub(r'[^A-Z]', '', ws.title.strip('S')) + "_" |
||
| 587 | parameters_ws = wb.create_sheet(file_name + 'Parameters') |
||
| 588 | |||
| 589 | parameters_timestamps_data_max_len = \ |
||
| 590 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
| 591 | |||
| 592 | # Row height |
||
| 593 | parameters_ws.row_dimensions[1].height = 102 |
||
| 594 | for i in range(2, 7 + 1): |
||
| 595 | parameters_ws.row_dimensions[i].height = 42 |
||
| 596 | |||
| 597 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
| 598 | parameters_ws.row_dimensions[i].height = 60 |
||
| 599 | |||
| 600 | # Col width |
||
| 601 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
| 602 | |||
| 603 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
| 604 | |||
| 605 | for i in range(3, 12 + parameters_names_len * 3): |
||
| 606 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
| 607 | |||
| 608 | # Img |
||
| 609 | img = Image("excelexporters/myems.png") |
||
| 610 | parameters_ws.add_image(img, 'A1') |
||
| 611 | |||
| 612 | # Title |
||
| 613 | parameters_ws['B3'].alignment = b_r_alignment |
||
| 614 | parameters_ws['B3'] = 'Name:' |
||
| 615 | parameters_ws['C3'].border = b_border |
||
| 616 | parameters_ws['C3'].alignment = b_c_alignment |
||
| 617 | parameters_ws['C3'] = name |
||
| 618 | |||
| 619 | parameters_ws['D3'].alignment = b_r_alignment |
||
| 620 | parameters_ws['D3'] = 'Period:' |
||
| 621 | parameters_ws['E3'].border = b_border |
||
| 622 | parameters_ws['E3'].alignment = b_c_alignment |
||
| 623 | parameters_ws['E3'] = period_type |
||
| 624 | |||
| 625 | parameters_ws['B4'].alignment = b_r_alignment |
||
| 626 | parameters_ws['B4'] = 'Reporting Start Datetime:' |
||
| 627 | parameters_ws['C4'].border = b_border |
||
| 628 | parameters_ws['C4'].alignment = b_c_alignment |
||
| 629 | parameters_ws['C4'] = reporting_start_datetime_local |
||
| 630 | |||
| 631 | parameters_ws['D4'].alignment = b_r_alignment |
||
| 632 | parameters_ws['D4'] = 'Reporting End Datetime:' |
||
| 633 | parameters_ws['E4'].border = b_border |
||
| 634 | parameters_ws['E4'].alignment = b_c_alignment |
||
| 635 | parameters_ws['E4'] = reporting_end_datetime_local |
||
| 636 | |||
| 637 | parameters_ws_current_row_number = 6 |
||
| 638 | |||
| 639 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
| 640 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + 'Parameters' |
||
| 641 | |||
| 642 | parameters_ws_current_row_number += 1 |
||
| 643 | |||
| 644 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
| 645 | |||
| 646 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
| 647 | |||
| 648 | parameters_ws_current_row_number += 1 |
||
| 649 | |||
| 650 | table_current_col_number = 2 |
||
| 651 | |||
| 652 | for i in range(0, parameters_names_len): |
||
| 653 | |||
| 654 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 655 | continue |
||
| 656 | |||
| 657 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 658 | |||
| 659 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 660 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 661 | |||
| 662 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 663 | |||
| 664 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 665 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 666 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
||
| 667 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
||
| 668 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
||
| 669 | |||
| 670 | table_current_row_number = parameters_ws_current_row_number |
||
| 671 | |||
| 672 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
| 673 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 674 | |||
| 675 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 676 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 677 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 678 | parameters_ws[col + str(table_current_row_number)] = value |
||
| 679 | |||
| 680 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 681 | |||
| 682 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 683 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 684 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 685 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
| 686 | |||
| 687 | table_current_row_number += 1 |
||
| 688 | |||
| 689 | table_current_col_number = table_current_col_number + 3 |
||
| 690 | |||
| 691 | ################################################################################################################ |
||
| 692 | # parameters chart and parameters table |
||
| 693 | ################################################################################################################ |
||
| 694 | |||
| 695 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
| 696 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + 'Parameters' |
||
| 697 | |||
| 698 | current_sheet_parameters_row_number += 1 |
||
| 699 | |||
| 700 | chart_start_row_number = current_sheet_parameters_row_number |
||
| 701 | |||
| 702 | col_index = 0 |
||
| 703 | |||
| 704 | for i in range(0, parameters_names_len): |
||
| 705 | |||
| 706 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 707 | continue |
||
| 708 | |||
| 709 | line = LineChart() |
||
| 710 | data_col = 3 + col_index * 3 |
||
| 711 | labels_col = 2 + col_index * 3 |
||
| 712 | col_index += 1 |
||
| 713 | line.title = 'Parameters - ' + \ |
||
| 714 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
| 715 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
| 716 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 717 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
| 718 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 719 | line.add_data(line_data, titles_from_data=True) |
||
| 720 | line.set_categories(labels) |
||
| 721 | line_data = line.series[0] |
||
| 722 | line_data.marker.symbol = "circle" |
||
| 723 | line_data.smooth = True |
||
| 724 | line.x_axis.crosses = 'min' |
||
| 725 | line.height = 8.25 |
||
| 726 | line.width = 24 |
||
| 727 | line.dLbls = DataLabelList() |
||
| 728 | line.dLbls.dLblPos = 't' |
||
| 729 | line.dLbls.showVal = False |
||
| 730 | line.dLbls.showPercent = False |
||
| 731 | chart_col = 'B' |
||
| 732 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 733 | chart_start_row_number += 6 |
||
| 734 | ws.add_chart(line, chart_cell) |
||
| 735 | |||
| 736 | current_sheet_parameters_row_number = chart_start_row_number |
||
| 737 | |||
| 738 | current_sheet_parameters_row_number += 1 |
||
| 739 | |||
| 740 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 741 | wb.save(filename) |
||
| 742 | |||
| 743 | return filename |
||
| 744 | |||
| 745 | |||
| 746 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
| 747 | max_len = 0 |
||
| 748 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
| 749 | if len(value) > max_len: |
||
| 750 | max_len = len(value) |
||
| 751 | |||
| 752 | return max_len |
||
| 753 | |||
| 754 | |||
| 755 | def timestamps_data_all_equal_0(lists): |
||
| 756 | for i, value in enumerate(list(lists)): |
||
| 757 | if len(value) > 0: |
||
| 758 | return False |
||
| 759 | |||
| 760 | return True |
||
| 761 |
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