Total Complexity | 120 |
Total Lines | 1208 |
Duplicated Lines | 19.21 % |
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.combinedequipmentefficiency 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 gettext |
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3 | import os |
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4 | import re |
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5 | import uuid |
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6 | |||
7 | import openpyxl.utils.cell as format_cell |
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8 | from openpyxl import Workbook |
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9 | from openpyxl.chart import LineChart, Reference |
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10 | from openpyxl.chart.label import DataLabelList |
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11 | from openpyxl.drawing.image import Image |
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12 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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13 | |||
14 | |||
15 | ######################################################################################################################## |
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16 | # PROCEDURES |
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17 | # Step 1: Validate the report data |
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18 | # Step 2: Generate excel file |
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19 | # Step 3: Encode the excel file bytes to Base64 |
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20 | ######################################################################################################################## |
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21 | |||
22 | |||
23 | View Code Duplication | def export(report, |
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24 | name, |
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25 | base_period_start_datetime_local, |
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26 | base_period_end_datetime_local, |
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27 | reporting_start_datetime_local, |
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28 | reporting_end_datetime_local, |
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29 | period_type, |
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30 | language): |
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31 | #################################################################################################################### |
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32 | # Step 1: Validate the report data |
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33 | #################################################################################################################### |
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34 | if report is None: |
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35 | return None |
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36 | |||
37 | #################################################################################################################### |
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38 | # Step 2: Generate excel file from the report data |
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39 | #################################################################################################################### |
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40 | filename = generate_excel(report, |
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41 | name, |
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42 | base_period_start_datetime_local, |
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43 | base_period_end_datetime_local, |
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44 | reporting_start_datetime_local, |
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45 | reporting_end_datetime_local, |
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46 | period_type, |
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47 | language) |
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48 | #################################################################################################################### |
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49 | # Step 3: Encode the excel file to Base64 |
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50 | #################################################################################################################### |
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51 | binary_file_data = b'' |
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52 | try: |
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53 | with open(filename, 'rb') as binary_file: |
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54 | binary_file_data = binary_file.read() |
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55 | except IOError as ex: |
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56 | print(str(ex)) |
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57 | |||
58 | # Base64 encode the bytes |
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59 | base64_encoded_data = base64.b64encode(binary_file_data) |
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60 | # get the Base64 encoded data using human-readable characters. |
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61 | base64_message = base64_encoded_data.decode('utf-8') |
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62 | # delete the file from server |
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63 | try: |
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64 | os.remove(filename) |
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65 | except NotImplementedError as ex: |
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66 | print(str(ex)) |
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67 | return base64_message |
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68 | |||
69 | |||
70 | def generate_excel(report, |
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71 | name, |
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72 | base_period_start_datetime_local, |
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73 | base_period_end_datetime_local, |
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74 | reporting_start_datetime_local, |
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75 | reporting_end_datetime_local, |
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76 | period_type, |
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77 | language): |
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78 | |||
79 | locale_path = './i18n/' |
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80 | if language == 'zh_CN': |
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81 | trans = gettext.translation('myems', locale_path, languages=['zh_CN']) |
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82 | elif language == 'de': |
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83 | trans = gettext.translation('myems', locale_path, languages=['de']) |
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84 | elif language == 'en': |
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85 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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86 | else: |
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87 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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88 | trans.install() |
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89 | _ = trans.gettext |
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90 | |||
91 | wb = Workbook() |
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92 | ws = wb.active |
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93 | ws.title = "CombinedEquipmentEfficiency" |
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94 | |||
95 | # Row height |
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96 | ws.row_dimensions[1].height = 102 |
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97 | for i in range(2, 2000 + 1): |
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98 | ws.row_dimensions[i].height = 42 |
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99 | |||
100 | # Col width |
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101 | ws.column_dimensions['A'].width = 1.5 |
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102 | |||
103 | ws.column_dimensions['B'].width = 25.0 |
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104 | |||
105 | for i in range(ord('C'), ord('Z')): |
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106 | ws.column_dimensions[chr(i)].width = 15.0 |
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107 | |||
108 | # Font |
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109 | name_font = Font(name='Arial', size=15, bold=True) |
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110 | title_font = Font(name='Arial', size=15, bold=True) |
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111 | |||
112 | table_fill = PatternFill(fill_type='solid', fgColor='90ee90') |
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113 | f_border = Border(left=Side(border_style='medium'), |
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114 | right=Side(border_style='medium'), |
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115 | bottom=Side(border_style='medium'), |
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116 | top=Side(border_style='medium') |
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117 | ) |
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118 | b_border = Border( |
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119 | bottom=Side(border_style='medium'), |
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120 | ) |
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121 | |||
122 | b_c_alignment = Alignment(vertical='bottom', |
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123 | horizontal='center', |
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124 | text_rotation=0, |
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125 | wrap_text=True, |
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126 | shrink_to_fit=False, |
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127 | indent=0) |
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128 | c_c_alignment = Alignment(vertical='center', |
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129 | horizontal='center', |
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130 | text_rotation=0, |
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131 | wrap_text=True, |
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132 | shrink_to_fit=False, |
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133 | indent=0) |
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134 | b_r_alignment = Alignment(vertical='bottom', |
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135 | horizontal='right', |
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136 | text_rotation=0, |
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137 | wrap_text=True, |
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138 | shrink_to_fit=False, |
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139 | indent=0) |
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140 | # Img |
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141 | img = Image("excelexporters/myems.png") |
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142 | ws.add_image(img, 'A1') |
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143 | |||
144 | # Title |
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145 | ws['B3'].alignment = b_r_alignment |
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146 | ws['B3'] = _('Name') + ':' |
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147 | ws['C3'].border = b_border |
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148 | ws['C3'].alignment = b_c_alignment |
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149 | ws['C3'] = name |
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150 | |||
151 | ws['D3'].alignment = b_r_alignment |
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152 | ws['D3'] = _('Period Type') + ':' |
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153 | ws['E3'].border = b_border |
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154 | ws['E3'].alignment = b_c_alignment |
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155 | ws['E3'] = period_type |
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156 | |||
157 | ws['B4'].alignment = b_r_alignment |
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158 | ws['B4'] = _('Reporting Start Datetime') + ':' |
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159 | ws['C4'].border = b_border |
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160 | ws['C4'].alignment = b_c_alignment |
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161 | ws['C4'] = reporting_start_datetime_local |
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162 | |||
163 | ws['D4'].alignment = b_r_alignment |
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164 | ws['D4'] = _('Reporting End Datetime') + ':' |
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165 | ws['E4'].border = b_border |
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166 | ws['E4'].alignment = b_c_alignment |
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167 | ws['E4'] = reporting_end_datetime_local |
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168 | |||
169 | is_base_period_timestamp_exists_flag = is_base_period_timestamp_exists(report['base_period_efficiency']) |
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170 | |||
171 | if is_base_period_timestamp_exists_flag: |
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172 | ws['B5'].alignment = b_r_alignment |
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173 | ws['B5'] = _('Base Period Start Datetime') + ':' |
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174 | ws['C5'].border = b_border |
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175 | ws['C5'].alignment = b_c_alignment |
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176 | ws['C5'] = base_period_start_datetime_local |
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177 | |||
178 | ws['D5'].alignment = b_r_alignment |
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179 | ws['D5'] = _('Base Period End Datetime') + ':' |
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180 | ws['E5'].border = b_border |
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181 | ws['E5'].alignment = b_c_alignment |
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182 | ws['E5'] = base_period_end_datetime_local |
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183 | |||
184 | if "reporting_period_efficiency" not in report.keys() or \ |
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185 | "names" not in report['reporting_period_efficiency'].keys() or len( |
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186 | report['reporting_period_efficiency']['names']) == 0: |
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187 | filename = str(uuid.uuid4()) + '.xlsx' |
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188 | wb.save(filename) |
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189 | |||
190 | return filename |
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191 | |||
192 | #################################################################################################################### |
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193 | |||
194 | current_row_number = 7 |
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195 | reporting_period_data = report['reporting_period_efficiency'] |
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196 | if "names" not in reporting_period_data.keys() or \ |
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197 | reporting_period_data['names'] is None or \ |
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198 | len(reporting_period_data['names']) == 0: |
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199 | pass |
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200 | else: |
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201 | ws['B' + str(current_row_number)].font = title_font |
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202 | ws['B' + str(current_row_number)] = name + ' ' + _('Reporting Period Cumulative Efficiency') |
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203 | |||
204 | current_row_number += 1 |
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205 | |||
206 | category = reporting_period_data['names'] |
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207 | ca_len = len(category) |
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208 | |||
209 | ws.row_dimensions[current_row_number].height = 80 |
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210 | ws['B' + str(current_row_number)].fill = table_fill |
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211 | ws['B' + str(current_row_number)].border = f_border |
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212 | |||
213 | col = 'C' |
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214 | |||
215 | for i in range(0, ca_len): |
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216 | ws[col + str(current_row_number)].fill = table_fill |
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217 | ws[col + str(current_row_number)].font = name_font |
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218 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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219 | ws[col + str(current_row_number)].border = f_border |
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220 | ws[col + str(current_row_number)] = \ |
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221 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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222 | |||
223 | col = chr(ord(col) + 1) |
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224 | |||
225 | ws[col + str(current_row_number)].fill = table_fill |
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226 | ws[col + str(current_row_number)].font = name_font |
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227 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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228 | ws[col + str(current_row_number)].border = f_border |
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229 | ws[col + str(current_row_number)] = \ |
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230 | reporting_period_data['names'][i] + '-' + reporting_period_data['numerator_names'][i] + " (" + \ |
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231 | reporting_period_data['numerator_units'][i] + ")" |
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232 | |||
233 | col = chr(ord(col) + 1) |
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234 | |||
235 | ws[col + str(current_row_number)].fill = table_fill |
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236 | ws[col + str(current_row_number)].font = name_font |
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237 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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238 | ws[col + str(current_row_number)].border = f_border |
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239 | ws[col + str(current_row_number)] = \ |
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240 | reporting_period_data['names'][i] + '-' + reporting_period_data['denominator_names'][i] + " (" + \ |
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241 | reporting_period_data['denominator_units'][i] + ")" |
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242 | |||
243 | col = chr(ord(col) + 1) |
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244 | |||
245 | current_row_number += 1 |
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246 | |||
247 | ws['B' + str(current_row_number)].font = title_font |
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248 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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249 | ws['B' + str(current_row_number)].border = f_border |
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250 | ws['B' + str(current_row_number)] = _('Cumulative Efficiency') |
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251 | |||
252 | col = 'C' |
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253 | |||
254 | for i in range(0, ca_len): |
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255 | ws[col + str(current_row_number)].font = name_font |
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256 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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257 | ws[col + str(current_row_number)].border = f_border |
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258 | ws[col + str(current_row_number)] = round(reporting_period_data['cumulations'][i], 2) |
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259 | |||
260 | col = chr(ord(col) + 1) |
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261 | |||
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['numerator_cumulations'][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['denominator_cumulations'][i], 2) |
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273 | |||
274 | col = chr(ord(col) + 1) |
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275 | |||
276 | current_row_number += 1 |
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277 | |||
278 | ws['B' + str(current_row_number)].font = title_font |
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279 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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280 | ws['B' + str(current_row_number)].border = f_border |
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281 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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282 | |||
283 | col = 'C' |
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284 | |||
285 | for i in range(0, ca_len): |
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286 | ws[col + str(current_row_number)].font = name_font |
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287 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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288 | ws[col + str(current_row_number)].border = f_border |
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289 | ws[col + str(current_row_number)] = str( |
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290 | round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \ |
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291 | if reporting_period_data['increment_rates'][i] is not None else '-' |
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292 | |||
293 | col = chr(ord(col) + 1) |
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294 | |||
295 | ws[col + str(current_row_number)].font = name_font |
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296 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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297 | ws[col + str(current_row_number)].border = f_border |
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298 | ws[col + str(current_row_number)] = str( |
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299 | round(reporting_period_data['increment_rates_num'][i] * 100, 2)) + '%' \ |
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300 | if reporting_period_data['increment_rates_num'][i] is not None else '-' |
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301 | |||
302 | col = chr(ord(col) + 1) |
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303 | |||
304 | ws[col + str(current_row_number)].font = name_font |
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305 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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306 | ws[col + str(current_row_number)].border = f_border |
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307 | ws[col + str(current_row_number)] = str( |
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308 | round(reporting_period_data['increment_rates_den'][i] * 100, 2)) + '%' \ |
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309 | if reporting_period_data['increment_rates_den'][i] is not None else '-' |
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310 | |||
311 | col = chr(ord(col) + 1) |
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312 | |||
313 | current_row_number += 2 |
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314 | |||
315 | #################################################################################################################### |
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316 | |||
317 | has_parameters_names_and_timestamps_and_values_data = True |
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318 | current_sheet_parameters_row_number = current_row_number |
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319 | |||
320 | View Code Duplication | if 'parameters' not in report.keys() or \ |
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321 | report['parameters'] is None or \ |
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322 | 'names' not in report['parameters'].keys() or \ |
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323 | report['parameters']['names'] is None or \ |
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324 | len(report['parameters']['names']) == 0 or \ |
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325 | 'timestamps' not in report['parameters'].keys() or \ |
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326 | report['parameters']['timestamps'] is None or \ |
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327 | len(report['parameters']['timestamps']) == 0 or \ |
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328 | 'values' not in report['parameters'].keys() or \ |
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329 | report['parameters']['values'] is None or \ |
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330 | len(report['parameters']['values']) == 0 or \ |
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331 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
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332 | |||
333 | has_parameters_names_and_timestamps_and_values_data = False |
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334 | |||
335 | #################################################################################################################### |
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336 | has_values_data = True |
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337 | has_timestamps_data = True |
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338 | |||
339 | if 'values' not in reporting_period_data.keys() or \ |
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340 | reporting_period_data['values'] is None or \ |
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341 | len(reporting_period_data['values']) == 0: |
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342 | has_values_data = False |
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343 | |||
344 | if 'timestamps' not in reporting_period_data.keys() or \ |
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345 | reporting_period_data['timestamps'] is None or \ |
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346 | len(reporting_period_data['timestamps']) == 0 or \ |
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347 | len(reporting_period_data['timestamps'][0]) == 0: |
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348 | has_timestamps_data = False |
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349 | |||
350 | if not is_base_period_timestamp_exists_flag: |
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351 | if has_values_data and has_timestamps_data: |
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352 | ca_len = len(reporting_period_data['names']) |
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353 | time = reporting_period_data['timestamps'][0] |
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354 | |||
355 | ws['B' + str(current_row_number)].font = title_font |
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356 | ws['B' + str(current_row_number)] = name + ' ' + _('Reporting Period Cumulative Efficiency') |
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357 | |||
358 | current_row_number += 1 |
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359 | |||
360 | chart_start_row_number = current_row_number |
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361 | |||
362 | current_row_number += ca_len * 3 * 6 + 1 |
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363 | |||
364 | if has_parameters_names_and_timestamps_and_values_data: |
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365 | current_sheet_parameters_row_number = current_row_number |
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366 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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367 | current_row_number += 6 * real_timestamps_len + 2 |
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368 | |||
369 | ws['B' + str(current_row_number)].font = title_font |
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370 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
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371 | |||
372 | current_row_number += 1 |
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373 | |||
374 | table_start_row_number = current_row_number |
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375 | |||
376 | ws.row_dimensions[current_row_number].height = 85 |
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377 | current_col_number = 2 |
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378 | col = format_cell.get_column_letter(current_col_number) |
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379 | ws[col + str(current_row_number)].fill = table_fill |
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380 | ws[col + str(current_row_number)].font = title_font |
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381 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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382 | ws[col + str(current_row_number)].border = f_border |
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383 | ws[col + str(current_row_number)] = _('Datetime') |
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384 | |||
385 | for i in range(0, ca_len): |
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386 | current_col_number += 1 |
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387 | col = format_cell.get_column_letter(current_col_number) |
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388 | |||
389 | ws[col + str(current_row_number)].fill = table_fill |
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390 | ws[col + str(current_row_number)].font = title_font |
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391 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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392 | ws[col + str(current_row_number)].border = f_border |
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393 | ws[col + str(current_row_number)] = \ |
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394 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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395 | |||
396 | current_col_number += 1 |
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397 | col = format_cell.get_column_letter(current_col_number) |
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398 | |||
399 | ws[col + str(current_row_number)].fill = table_fill |
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400 | ws[col + str(current_row_number)].font = title_font |
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401 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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402 | ws[col + str(current_row_number)].border = f_border |
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403 | ws[col + str(current_row_number)] = \ |
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404 | reporting_period_data['names'][i] + "-" + \ |
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405 | reporting_period_data['numerator_names'][i] + " (" + reporting_period_data['numerator_units'][ |
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406 | i] + ")" |
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407 | |||
408 | current_col_number += 1 |
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409 | col = format_cell.get_column_letter(current_col_number) |
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410 | |||
411 | ws[col + str(current_row_number)].fill = table_fill |
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412 | ws[col + str(current_row_number)].font = title_font |
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413 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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414 | ws[col + str(current_row_number)].border = f_border |
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415 | ws[col + str(current_row_number)] = \ |
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416 | reporting_period_data['names'][i] + "-" + \ |
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417 | reporting_period_data['denominator_names'][i] + " (" + reporting_period_data['denominator_units'][ |
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418 | i] + ")" |
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419 | |||
420 | current_row_number += 1 |
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421 | |||
422 | for i in range(0, len(time)): |
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423 | current_col_number = 2 |
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424 | col = format_cell.get_column_letter(current_col_number) |
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425 | ws[col + str(current_row_number)].font = title_font |
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426 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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427 | ws[col + str(current_row_number)].border = f_border |
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428 | ws[col + str(current_row_number)] = time[i] |
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429 | |||
430 | for j in range(0, ca_len): |
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431 | current_col_number += 1 |
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432 | col = format_cell.get_column_letter(current_col_number) |
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433 | |||
434 | ws[col + str(current_row_number)].font = title_font |
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435 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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436 | ws[col + str(current_row_number)].border = f_border |
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437 | ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \ |
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438 | if reporting_period_data['values'][j][i] is not None else None |
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439 | |||
440 | current_col_number += 1 |
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441 | col = format_cell.get_column_letter(current_col_number) |
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442 | |||
443 | ws[col + str(current_row_number)].font = title_font |
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444 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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445 | ws[col + str(current_row_number)].border = f_border |
||
446 | ws[col + str(current_row_number)] = round(reporting_period_data['numerator_values'][j][i], 2) \ |
||
447 | if reporting_period_data['numerator_values'][j][i] is not None else None |
||
448 | |||
449 | current_col_number += 1 |
||
450 | col = format_cell.get_column_letter(current_col_number) |
||
451 | |||
452 | ws[col + str(current_row_number)].font = title_font |
||
453 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
454 | ws[col + str(current_row_number)].border = f_border |
||
455 | ws[col + str(current_row_number)] = round(reporting_period_data['denominator_values'][j][i], 2) \ |
||
456 | if reporting_period_data['denominator_values'][j][i] is not None else None |
||
457 | |||
458 | current_row_number += 1 |
||
459 | |||
460 | table_end_row_number = current_row_number - 1 |
||
461 | |||
462 | current_col_number = 2 |
||
463 | col = format_cell.get_column_letter(current_col_number) |
||
464 | ws[col + str(current_row_number)].font = title_font |
||
465 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
466 | ws[col + str(current_row_number)].border = f_border |
||
467 | ws[col + str(current_row_number)] = _('Subtotal') |
||
468 | |||
469 | for i in range(0, ca_len): |
||
470 | current_col_number += 1 |
||
471 | col = format_cell.get_column_letter(current_col_number) |
||
472 | |||
473 | ws[col + str(current_row_number)].font = title_font |
||
474 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
475 | ws[col + str(current_row_number)].border = f_border |
||
476 | ws[col + str(current_row_number)] = round(reporting_period_data['cumulations'][i], 2) \ |
||
477 | if reporting_period_data['cumulations'][i] is not None else None |
||
478 | |||
479 | current_col_number += 1 |
||
480 | col = format_cell.get_column_letter(current_col_number) |
||
481 | |||
482 | ws[col + str(current_row_number)].font = title_font |
||
483 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
484 | ws[col + str(current_row_number)].border = f_border |
||
485 | ws[col + str(current_row_number)] = round(reporting_period_data['numerator_cumulations'][i], 2) \ |
||
486 | if reporting_period_data['numerator_cumulations'][i] is not None else None |
||
487 | |||
488 | current_col_number += 1 |
||
489 | col = format_cell.get_column_letter(current_col_number) |
||
490 | |||
491 | ws[col + str(current_row_number)].font = title_font |
||
492 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
493 | ws[col + str(current_row_number)].border = f_border |
||
494 | ws[col + str(current_row_number)] = round(reporting_period_data['denominator_cumulations'][i], 2) \ |
||
495 | if reporting_period_data['denominator_cumulations'][i] is not None else None |
||
496 | |||
497 | current_row_number += 2 |
||
498 | |||
499 | for i in range(0, ca_len): |
||
500 | line = LineChart() |
||
501 | line.title = _('Reporting Period Cumulative Efficiency') + ' - ' + \ |
||
502 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
503 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
||
504 | line_data = Reference(ws, min_col=3 + i * 3, min_row=table_start_row_number, |
||
505 | max_row=table_end_row_number) |
||
506 | line.add_data(line_data, titles_from_data=True) |
||
507 | line.set_categories(labels) |
||
508 | line_data = line.series[0] |
||
509 | line_data.marker.symbol = "circle" |
||
510 | line_data.smooth = True |
||
511 | line.x_axis.crosses = 'min' |
||
512 | line.height = 8.25 |
||
513 | line.width = 24 |
||
514 | line.dLbls = DataLabelList() |
||
515 | line.dLbls.dLblPos = 't' |
||
516 | line.dLbls.showVal = True |
||
517 | line.dLbls.showPercent = False |
||
518 | chart_col = 'B' |
||
519 | chart_cell = chart_col + str(chart_start_row_number) |
||
520 | chart_start_row_number += 6 |
||
521 | ws.add_chart(line, chart_cell) |
||
522 | |||
523 | line = LineChart() |
||
524 | line.title = _('Reporting Period Cumulative Efficiency') + ' - ' + \ |
||
525 | reporting_period_data['names'][i] + "-" + \ |
||
526 | reporting_period_data['numerator_names'][i] \ |
||
527 | + " (" + reporting_period_data['numerator_units'][i] + ")" |
||
528 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
||
529 | line_data = Reference(ws, min_col=4 + i * 3, min_row=table_start_row_number, |
||
530 | max_row=table_end_row_number) |
||
531 | line.add_data(line_data, titles_from_data=True) |
||
532 | line.set_categories(labels) |
||
533 | line_data = line.series[0] |
||
534 | line_data.marker.symbol = "circle" |
||
535 | line_data.smooth = True |
||
536 | line.x_axis.crosses = 'min' |
||
537 | line.height = 8.25 |
||
538 | line.width = 24 |
||
539 | line.dLbls = DataLabelList() |
||
540 | line.dLbls.dLblPos = 't' |
||
541 | line.dLbls.showVal = True |
||
542 | line.dLbls.showPercent = False |
||
543 | chart_col = 'B' |
||
544 | chart_cell = chart_col + str(chart_start_row_number) |
||
545 | chart_start_row_number += 6 |
||
546 | ws.add_chart(line, chart_cell) |
||
547 | |||
548 | line = LineChart() |
||
549 | line.title = _('Reporting Period Cumulative Efficiency') + ' - ' + \ |
||
550 | reporting_period_data['names'][i] + "-" + \ |
||
551 | reporting_period_data['denominator_names'][i] \ |
||
552 | + " (" + reporting_period_data['denominator_units'][i] + ")" |
||
553 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
||
554 | line_data = Reference(ws, min_col=5 + i * 3, min_row=table_start_row_number, |
||
555 | max_row=table_end_row_number) |
||
556 | line.add_data(line_data, titles_from_data=True) |
||
557 | line.set_categories(labels) |
||
558 | line_data = line.series[0] |
||
559 | line_data.marker.symbol = "circle" |
||
560 | line_data.smooth = True |
||
561 | line.x_axis.crosses = 'min' |
||
562 | line.height = 8.25 |
||
563 | line.width = 24 |
||
564 | line.dLbls = DataLabelList() |
||
565 | line.dLbls.dLblPos = 't' |
||
566 | line.dLbls.showVal = True |
||
567 | line.dLbls.showPercent = False |
||
568 | chart_col = 'B' |
||
569 | chart_cell = chart_col + str(chart_start_row_number) |
||
570 | chart_start_row_number += 6 |
||
571 | ws.add_chart(line, chart_cell) |
||
572 | else: |
||
573 | if has_values_data and has_timestamps_data: |
||
574 | base_period_data = report['base_period_efficiency'] |
||
575 | reporting_period_data = report['reporting_period_efficiency'] |
||
576 | base_period_timestamps = base_period_data['timestamps'] |
||
577 | reporting_period_timestamps = reporting_period_data['timestamps'] |
||
578 | # Tip: |
||
579 | # base_period_data['names'] == reporting_period_data['names'] |
||
580 | # base_period_data['units'] == reporting_period_data['units'] |
||
581 | reporting_period_data_ca_len = len(reporting_period_data['names']) |
||
582 | base_period_data_ca_len = reporting_period_data_ca_len |
||
583 | ws['B' + str(current_row_number)].font = title_font |
||
584 | ws['B' + str(current_row_number)] = name + ' ' + _('Reporting Period Cumulative Efficiency') |
||
585 | |||
586 | current_row_number += 1 |
||
587 | |||
588 | chart_start_row_number = current_row_number |
||
589 | |||
590 | current_row_number += reporting_period_data_ca_len * 3 * 6 + 1 |
||
591 | |||
592 | if has_parameters_names_and_timestamps_and_values_data: |
||
593 | current_sheet_parameters_row_number = current_row_number |
||
594 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
||
595 | current_row_number += 6 * real_timestamps_len + 2 |
||
596 | |||
597 | ws['B' + str(current_row_number)].font = title_font |
||
598 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
||
599 | |||
600 | current_row_number += 1 |
||
601 | |||
602 | table_start_row_number = current_row_number |
||
603 | |||
604 | ws.row_dimensions[current_row_number].height = 85 |
||
605 | current_col_number = 2 |
||
606 | col = format_cell.get_column_letter(current_col_number) |
||
607 | ws[col + str(current_row_number)].fill = table_fill |
||
608 | ws[col + str(current_row_number)].font = title_font |
||
609 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
610 | ws[col + str(current_row_number)].border = f_border |
||
611 | ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime') |
||
612 | |||
613 | for i in range(0, base_period_data_ca_len): |
||
614 | current_col_number += 1 |
||
615 | col = format_cell.get_column_letter(current_col_number) |
||
616 | |||
617 | ws[col + str(current_row_number)].fill = table_fill |
||
618 | ws[col + str(current_row_number)].font = title_font |
||
619 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
620 | ws[col + str(current_row_number)] = _('Base Period') + " - " + reporting_period_data['names'][i] + \ |
||
621 | " (" + reporting_period_data['units'][i] + ")" |
||
622 | ws[col + str(current_row_number)].border = f_border |
||
623 | |||
624 | current_col_number += 1 |
||
625 | col = format_cell.get_column_letter(current_col_number) |
||
626 | |||
627 | ws[col + str(current_row_number)].fill = table_fill |
||
628 | ws[col + str(current_row_number)].font = title_font |
||
629 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
630 | ws[col + str(current_row_number)].border = f_border |
||
631 | ws[col + str(current_row_number)] = _('Base Period') + " - " + \ |
||
632 | reporting_period_data['names'][i] + "-" + \ |
||
633 | reporting_period_data['numerator_names'][i] + " (" + \ |
||
634 | reporting_period_data['numerator_units'][ |
||
635 | i] + ")" |
||
636 | |||
637 | current_col_number += 1 |
||
638 | col = format_cell.get_column_letter(current_col_number) |
||
639 | |||
640 | ws[col + str(current_row_number)].fill = table_fill |
||
641 | ws[col + str(current_row_number)].font = title_font |
||
642 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
643 | ws[col + str(current_row_number)].border = f_border |
||
644 | ws[col + str(current_row_number)] = _('Base Period') + " - " + \ |
||
645 | reporting_period_data['names'][i] + "-" + \ |
||
646 | reporting_period_data['denominator_names'][i] + " (" + \ |
||
647 | reporting_period_data['denominator_units'][ |
||
648 | i] + ")" |
||
649 | |||
650 | current_col_number += 1 |
||
651 | col = format_cell.get_column_letter(current_col_number) |
||
652 | |||
653 | ws[col + str(current_row_number)].fill = table_fill |
||
654 | ws[col + str(current_row_number)].font = title_font |
||
655 | ws[col + str(current_row_number)].border = f_border |
||
656 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
657 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime') |
||
658 | |||
659 | for i in range(0, reporting_period_data_ca_len): |
||
660 | current_col_number += 1 |
||
661 | col = format_cell.get_column_letter(current_col_number) |
||
662 | ws[col + str(current_row_number)].fill = table_fill |
||
663 | ws[col + str(current_row_number)].font = title_font |
||
664 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
665 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
666 | + reporting_period_data['names'][i] + " (" + \ |
||
667 | reporting_period_data['units'][i] + ")" |
||
668 | ws[col + str(current_row_number)].border = f_border |
||
669 | |||
670 | current_col_number += 1 |
||
671 | col = format_cell.get_column_letter(current_col_number) |
||
672 | |||
673 | ws[col + str(current_row_number)].fill = table_fill |
||
674 | ws[col + str(current_row_number)].font = title_font |
||
675 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
676 | ws[col + str(current_row_number)].border = f_border |
||
677 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + \ |
||
678 | reporting_period_data['names'][i] + "-" + \ |
||
679 | reporting_period_data['numerator_names'][i] + " (" + \ |
||
680 | reporting_period_data['numerator_units'][i] + ")" |
||
681 | |||
682 | current_col_number += 1 |
||
683 | col = format_cell.get_column_letter(current_col_number) |
||
684 | |||
685 | ws[col + str(current_row_number)].fill = table_fill |
||
686 | ws[col + str(current_row_number)].font = title_font |
||
687 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
688 | ws[col + str(current_row_number)].border = f_border |
||
689 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + \ |
||
690 | reporting_period_data['names'][i] + "-" + \ |
||
691 | reporting_period_data['denominator_names'][i] + " (" + \ |
||
692 | reporting_period_data['denominator_units'][i] + ")" |
||
693 | |||
694 | current_row_number += 1 |
||
695 | |||
696 | max_timestamps_len = len(base_period_timestamps[0]) \ |
||
697 | if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \ |
||
698 | else len(reporting_period_timestamps[0]) |
||
699 | |||
700 | for i in range(0, max_timestamps_len): |
||
701 | current_col_number = 2 |
||
702 | col = format_cell.get_column_letter(current_col_number) |
||
703 | ws[col + str(current_row_number)].font = title_font |
||
704 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
705 | ws[col + str(current_row_number)] = base_period_timestamps[0][i] \ |
||
706 | if i < len(base_period_timestamps[0]) else None |
||
707 | ws[col + str(current_row_number)].border = f_border |
||
708 | |||
709 | for j in range(0, base_period_data_ca_len): |
||
710 | current_col_number += 1 |
||
711 | col = format_cell.get_column_letter(current_col_number) |
||
712 | |||
713 | ws[col + str(current_row_number)].font = title_font |
||
714 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
715 | ws[col + str(current_row_number)] = round(base_period_data['values'][j][i], 2) \ |
||
716 | if i < len(base_period_data['values'][j]) \ |
||
717 | and base_period_data['values'][j][i] is not None else None |
||
718 | ws[col + str(current_row_number)].border = f_border |
||
719 | |||
720 | current_col_number += 1 |
||
721 | col = format_cell.get_column_letter(current_col_number) |
||
722 | |||
723 | ws[col + str(current_row_number)].font = title_font |
||
724 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
725 | ws[col + str(current_row_number)] = round(base_period_data['numerator_values'][j][i], 2) \ |
||
726 | if i < len(base_period_data['numerator_values'][j]) \ |
||
727 | and base_period_data['numerator_values'][j][i] is not None else None |
||
728 | ws[col + str(current_row_number)].border = f_border |
||
729 | |||
730 | current_col_number += 1 |
||
731 | col = format_cell.get_column_letter(current_col_number) |
||
732 | |||
733 | ws[col + str(current_row_number)].font = title_font |
||
734 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
735 | ws[col + str(current_row_number)] = round(base_period_data['denominator_values'][j][i], 2) \ |
||
736 | if i < len(base_period_data['denominator_values'][j]) \ |
||
737 | and base_period_data['denominator_values'][j][i] is not None else None |
||
738 | ws[col + str(current_row_number)].border = f_border |
||
739 | current_col_number += 1 |
||
740 | col = format_cell.get_column_letter(current_col_number) |
||
741 | |||
742 | ws[col + str(current_row_number)].font = title_font |
||
743 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
744 | ws[col + str(current_row_number)] = reporting_period_timestamps[0][i] \ |
||
745 | if i < len(reporting_period_timestamps[0]) else None |
||
746 | ws[col + str(current_row_number)].border = f_border |
||
747 | |||
748 | for j in range(0, reporting_period_data_ca_len): |
||
749 | current_col_number += 1 |
||
750 | col = format_cell.get_column_letter(current_col_number) |
||
751 | |||
752 | ws[col + str(current_row_number)].font = title_font |
||
753 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
754 | ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \ |
||
755 | if i < len(reporting_period_data['values'][j]) \ |
||
756 | and reporting_period_data['values'][j][i] is not None else None |
||
757 | ws[col + str(current_row_number)].border = f_border |
||
758 | |||
759 | current_col_number += 1 |
||
760 | col = format_cell.get_column_letter(current_col_number) |
||
761 | |||
762 | ws[col + str(current_row_number)].font = title_font |
||
763 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
764 | ws[col + str(current_row_number)] = round(reporting_period_data['numerator_values'][j][i], 2) \ |
||
765 | if i < len(reporting_period_data['numerator_values'][j]) \ |
||
766 | and reporting_period_data['numerator_values'][j][i] is not None else None |
||
767 | ws[col + str(current_row_number)].border = f_border |
||
768 | |||
769 | current_col_number += 1 |
||
770 | col = format_cell.get_column_letter(current_col_number) |
||
771 | |||
772 | ws[col + str(current_row_number)].font = title_font |
||
773 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
774 | ws[col + str(current_row_number)] = round(reporting_period_data['denominator_values'][j][i], 2) \ |
||
775 | if i < len(reporting_period_data['denominator_values'][j]) \ |
||
776 | and reporting_period_data['denominator_values'][j][i] is not None else None |
||
777 | ws[col + str(current_row_number)].border = f_border |
||
778 | |||
779 | current_row_number += 1 |
||
780 | |||
781 | current_col_number = 2 |
||
782 | col = format_cell.get_column_letter(current_col_number) |
||
783 | |||
784 | ws[col + str(current_row_number)].font = title_font |
||
785 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
786 | ws[col + str(current_row_number)] = _('Subtotal') |
||
787 | ws[col + str(current_row_number)].border = f_border |
||
788 | |||
789 | for i in range(0, base_period_data_ca_len): |
||
790 | current_col_number += 1 |
||
791 | col = format_cell.get_column_letter(current_col_number) |
||
792 | ws[col + str(current_row_number)].font = title_font |
||
793 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
794 | ws[col + str(current_row_number)] = round(base_period_data['cumulations'][i], 2) \ |
||
795 | if base_period_data['cumulations'][i] is not None else None |
||
796 | ws[col + str(current_row_number)].border = f_border |
||
797 | |||
798 | current_col_number += 1 |
||
799 | col = format_cell.get_column_letter(current_col_number) |
||
800 | ws[col + str(current_row_number)].font = title_font |
||
801 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
802 | ws[col + str(current_row_number)] = round(base_period_data['numerator_cumulations'][i], 2) \ |
||
803 | if base_period_data['numerator_cumulations'][i] is not None else None |
||
804 | ws[col + str(current_row_number)].border = f_border |
||
805 | |||
806 | current_col_number += 1 |
||
807 | col = format_cell.get_column_letter(current_col_number) |
||
808 | ws[col + str(current_row_number)].font = title_font |
||
809 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
810 | ws[col + str(current_row_number)] = round(base_period_data['denominator_cumulations'][i], 2) \ |
||
811 | if base_period_data['denominator_cumulations'][i] is not None else None |
||
812 | ws[col + str(current_row_number)].border = f_border |
||
813 | |||
814 | current_col_number += 1 |
||
815 | col = format_cell.get_column_letter(current_col_number) |
||
816 | |||
817 | ws[col + str(current_row_number)].font = title_font |
||
818 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
819 | ws[col + str(current_row_number)] = _('Subtotal') |
||
820 | ws[col + str(current_row_number)].border = f_border |
||
821 | |||
822 | for i in range(0, reporting_period_data_ca_len): |
||
823 | current_col_number += 1 |
||
824 | col = format_cell.get_column_letter(current_col_number) |
||
825 | ws[col + str(current_row_number)].font = title_font |
||
826 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
827 | ws[col + str(current_row_number)] = round(reporting_period_data['cumulations'][i], 2) \ |
||
828 | if reporting_period_data['cumulations'][i] is not None else None |
||
829 | ws[col + str(current_row_number)].border = f_border |
||
830 | |||
831 | current_col_number += 1 |
||
832 | col = format_cell.get_column_letter(current_col_number) |
||
833 | ws[col + str(current_row_number)].font = title_font |
||
834 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
835 | ws[col + str(current_row_number)] = round(reporting_period_data['numerator_cumulations'][i], 2) \ |
||
836 | if reporting_period_data['numerator_cumulations'][i] is not None else None |
||
837 | ws[col + str(current_row_number)].border = f_border |
||
838 | |||
839 | current_col_number += 1 |
||
840 | col = format_cell.get_column_letter(current_col_number) |
||
841 | ws[col + str(current_row_number)].font = title_font |
||
842 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
843 | ws[col + str(current_row_number)] = round(reporting_period_data['denominator_cumulations'][i], 2) \ |
||
844 | if reporting_period_data['denominator_cumulations'][i] is not None else None |
||
845 | ws[col + str(current_row_number)].border = f_border |
||
846 | |||
847 | current_row_number += 2 |
||
848 | |||
849 | for i in range(0, reporting_period_data_ca_len): |
||
850 | line = LineChart() |
||
851 | line.title = _('Base Period Cumulative Efficiency') + ' / ' \ |
||
852 | + _('Reporting Period Cumulative Efficiency') + ' - ' \ |
||
853 | + reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
854 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 3 + 1, |
||
855 | min_row=table_start_row_number + 1, |
||
856 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
857 | base_line_data = Reference(ws, min_col=3 + i * 3, |
||
858 | min_row=table_start_row_number, |
||
859 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
860 | reporting_line_data = Reference(ws, min_col=3 + base_period_data_ca_len * 3 + 1 + i * 3, |
||
861 | min_row=table_start_row_number, |
||
862 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
863 | line.add_data(base_line_data, titles_from_data=True) |
||
864 | line.add_data(reporting_line_data, titles_from_data=True) |
||
865 | line.set_categories(labels) |
||
866 | for j in range(len(line.series)): |
||
867 | line.series[j].marker.symbol = "circle" |
||
868 | line.series[j].smooth = True |
||
869 | line.x_axis.crosses = 'min' |
||
870 | line.height = 8.25 |
||
871 | line.width = 24 |
||
872 | line.dLbls = DataLabelList() |
||
873 | line.dLbls.dLblPos = 't' |
||
874 | line.dLbls.showVal = True |
||
875 | line.dLbls.showPercent = False |
||
876 | chart_col = 'B' |
||
877 | chart_cell = chart_col + str(chart_start_row_number) |
||
878 | chart_start_row_number += 6 |
||
879 | ws.add_chart(line, chart_cell) |
||
880 | |||
881 | line = LineChart() |
||
882 | line.title = _('Base Period Cumulative Efficiency') + ' / ' \ |
||
883 | + _('Reporting Period Cumulative Efficiency') + ' - ' \ |
||
884 | + reporting_period_data['names'][i] + "-" \ |
||
885 | + reporting_period_data['numerator_names'][i] \ |
||
886 | + " (" + reporting_period_data['numerator_units'][i] + ")" |
||
887 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 3 + 1, |
||
888 | min_row=table_start_row_number + 1, |
||
889 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
890 | base_line_data = Reference(ws, min_col=4 + i * 3, |
||
891 | min_row=table_start_row_number, |
||
892 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
893 | reporting_line_data = Reference(ws, min_col=4 + base_period_data_ca_len * 3 + 1 + i * 3, |
||
894 | min_row=table_start_row_number, |
||
895 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
896 | line.add_data(base_line_data, titles_from_data=True) |
||
897 | line.add_data(reporting_line_data, titles_from_data=True) |
||
898 | line.set_categories(labels) |
||
899 | for j in range(len(line.series)): |
||
900 | line.series[j].marker.symbol = "circle" |
||
901 | line.series[j].smooth = True |
||
902 | line.x_axis.crosses = 'min' |
||
903 | line.height = 8.25 |
||
904 | line.width = 24 |
||
905 | line.dLbls = DataLabelList() |
||
906 | line.dLbls.dLblPos = 't' |
||
907 | line.dLbls.showVal = True |
||
908 | line.dLbls.showPercent = False |
||
909 | chart_col = 'B' |
||
910 | chart_cell = chart_col + str(chart_start_row_number) |
||
911 | chart_start_row_number += 6 |
||
912 | ws.add_chart(line, chart_cell) |
||
913 | |||
914 | line = LineChart() |
||
915 | line.title = _('Base Period Cumulative Efficiency') + ' / ' \ |
||
916 | + _('Reporting Period Cumulative Efficiency') + ' - ' \ |
||
917 | + reporting_period_data['names'][i] + "-" \ |
||
918 | + reporting_period_data['denominator_names'][i] \ |
||
919 | + " (" + reporting_period_data['denominator_units'][i] + ")" |
||
920 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 3 + 1, |
||
921 | min_row=table_start_row_number + 1, |
||
922 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
923 | base_line_data = Reference(ws, min_col=5 + i * 3, |
||
924 | min_row=table_start_row_number, |
||
925 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
926 | reporting_line_data = Reference(ws, min_col=5 + base_period_data_ca_len * 3 + 1 + i * 3, |
||
927 | min_row=table_start_row_number, |
||
928 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
929 | line.add_data(base_line_data, titles_from_data=True) |
||
930 | line.add_data(reporting_line_data, titles_from_data=True) |
||
931 | line.set_categories(labels) |
||
932 | for j in range(len(line.series)): |
||
933 | line.series[j].marker.symbol = "circle" |
||
934 | line.series[j].smooth = True |
||
935 | line.x_axis.crosses = 'min' |
||
936 | line.height = 8.25 |
||
937 | line.width = 24 |
||
938 | line.dLbls = DataLabelList() |
||
939 | line.dLbls.dLblPos = 't' |
||
940 | line.dLbls.showVal = True |
||
941 | line.dLbls.showPercent = False |
||
942 | chart_col = 'B' |
||
943 | chart_cell = chart_col + str(chart_start_row_number) |
||
944 | chart_start_row_number += 6 |
||
945 | ws.add_chart(line, chart_cell) |
||
946 | |||
947 | #################################################################################################################### |
||
948 | has_associated_equipment_flag = True |
||
949 | |||
950 | if "associated_equipment" not in report.keys() or \ |
||
951 | "energy_category_names" not in report['associated_equipment'].keys() or \ |
||
952 | len(report['associated_equipment']["energy_category_names"]) == 0 \ |
||
953 | or 'associated_equipment_names_array' not in report['associated_equipment'].keys() \ |
||
954 | or report['associated_equipment']['associated_equipment_names_array'] is None \ |
||
955 | or len(report['associated_equipment']['associated_equipment_names_array']) == 0 \ |
||
956 | or len(report['associated_equipment']['associated_equipment_names_array'][0]) == 0: |
||
957 | has_associated_equipment_flag = False |
||
958 | |||
959 | if has_associated_equipment_flag: |
||
960 | associated_equipment = report['associated_equipment'] |
||
961 | |||
962 | ws['B' + str(current_row_number)].font = title_font |
||
963 | ws['B' + str(current_row_number)] = name + ' ' + _('Associated Equipment Data') |
||
964 | |||
965 | current_row_number += 1 |
||
966 | |||
967 | ws.row_dimensions[current_row_number].height = 60 |
||
968 | ws['B' + str(current_row_number)].fill = table_fill |
||
969 | ws['B' + str(current_row_number)].font = name_font |
||
970 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
||
971 | ws['B' + str(current_row_number)].border = f_border |
||
972 | ws['B' + str(current_row_number)] = _('Associated Equipment') |
||
973 | ca_len = len(associated_equipment['energy_category_names']) |
||
974 | |||
975 | for i in range(0, ca_len): |
||
976 | row = chr(ord('C') + i) |
||
977 | ws[row + str(current_row_number)].fill = table_fill |
||
978 | ws[row + str(current_row_number)].font = name_font |
||
979 | ws[row + str(current_row_number)].alignment = c_c_alignment |
||
980 | ws[row + str(current_row_number)].border = f_border |
||
981 | ws[row + str(current_row_number)] = \ |
||
982 | associated_equipment['energy_category_names'][i] + " (" + associated_equipment['units'][i] + ")" |
||
983 | |||
984 | associated_equipment_len = len(associated_equipment['associated_equipment_names_array'][0]) |
||
985 | |||
986 | for i in range(0, associated_equipment_len): |
||
987 | current_row_number += 1 |
||
988 | row = str(current_row_number) |
||
989 | |||
990 | ws['B' + row].font = title_font |
||
991 | ws['B' + row].alignment = c_c_alignment |
||
992 | ws['B' + row] = associated_equipment['associated_equipment_names_array'][0][i] |
||
993 | ws['B' + row].border = f_border |
||
994 | |||
995 | for j in range(0, ca_len): |
||
996 | col = chr(ord('C') + j) |
||
997 | ws[col + row].font = title_font |
||
998 | ws[col + row].alignment = c_c_alignment |
||
999 | ws[col + row] = round(associated_equipment['subtotals_array'][j][i], 2) |
||
1000 | ws[col + row].border = f_border |
||
1001 | #################################################################################################################### |
||
1002 | |||
1003 | View Code Duplication | if has_parameters_names_and_timestamps_and_values_data: |
|
1004 | |||
1005 | ################################################################################################################ |
||
1006 | # new worksheet |
||
1007 | ################################################################################################################ |
||
1008 | |||
1009 | parameters_data = report['parameters'] |
||
1010 | parameters_names_len = len(parameters_data['names']) |
||
1011 | |||
1012 | file_name = (re.sub(r'[^A-Z]', '', ws.title))+'_' |
||
1013 | parameters_ws = wb.create_sheet(file_name + _('Parameters')) |
||
1014 | |||
1015 | parameters_timestamps_data_max_len = \ |
||
1016 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
1017 | |||
1018 | # Row height |
||
1019 | parameters_ws.row_dimensions[1].height = 102 |
||
1020 | for i in range(2, 7 + 1): |
||
1021 | parameters_ws.row_dimensions[i].height = 42 |
||
1022 | |||
1023 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
1024 | parameters_ws.row_dimensions[i].height = 60 |
||
1025 | |||
1026 | # Col width |
||
1027 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
1028 | |||
1029 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
1030 | |||
1031 | for i in range(3, 12+parameters_names_len*3): |
||
1032 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
1033 | |||
1034 | # Img |
||
1035 | img = Image("excelexporters/myems.png") |
||
1036 | parameters_ws.add_image(img, 'A1') |
||
1037 | |||
1038 | # Title |
||
1039 | parameters_ws['B3'].alignment = b_r_alignment |
||
1040 | parameters_ws['B3'] = _('Name') + ':' |
||
1041 | parameters_ws['C3'].border = b_border |
||
1042 | parameters_ws['C3'].alignment = b_c_alignment |
||
1043 | parameters_ws['C3'] = name |
||
1044 | |||
1045 | parameters_ws['D3'].alignment = b_r_alignment |
||
1046 | parameters_ws['D3'] = _('Period Type') + ':' |
||
1047 | parameters_ws['E3'].border = b_border |
||
1048 | parameters_ws['E3'].alignment = b_c_alignment |
||
1049 | parameters_ws['E3'] = period_type |
||
1050 | |||
1051 | parameters_ws['B4'].alignment = b_r_alignment |
||
1052 | parameters_ws['B4'] = _('Reporting Start Datetime') + ':' |
||
1053 | parameters_ws['C4'].border = b_border |
||
1054 | parameters_ws['C4'].alignment = b_c_alignment |
||
1055 | parameters_ws['C4'] = reporting_start_datetime_local |
||
1056 | |||
1057 | parameters_ws['D4'].alignment = b_r_alignment |
||
1058 | parameters_ws['D4'] = _('Reporting End Datetime') + ':' |
||
1059 | parameters_ws['E4'].border = b_border |
||
1060 | parameters_ws['E4'].alignment = b_c_alignment |
||
1061 | parameters_ws['E4'] = reporting_end_datetime_local |
||
1062 | |||
1063 | parameters_ws_current_row_number = 6 |
||
1064 | |||
1065 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
1066 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters') |
||
1067 | |||
1068 | parameters_ws_current_row_number += 1 |
||
1069 | |||
1070 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
1071 | |||
1072 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
1073 | |||
1074 | parameters_ws_current_row_number += 1 |
||
1075 | |||
1076 | table_current_col_number = 2 |
||
1077 | |||
1078 | for i in range(0, parameters_names_len): |
||
1079 | |||
1080 | if len(parameters_data['timestamps'][i]) == 0: |
||
1081 | continue |
||
1082 | |||
1083 | col = format_cell.get_column_letter(table_current_col_number) |
||
1084 | |||
1085 | parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill |
||
1086 | parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border |
||
1087 | |||
1088 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
1089 | |||
1090 | parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill |
||
1091 | parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border |
||
1092 | parameters_ws[col + str(parameters_ws_current_row_number-1)].font = name_font |
||
1093 | parameters_ws[col + str(parameters_ws_current_row_number-1)].alignment = c_c_alignment |
||
1094 | parameters_ws[col + str(parameters_ws_current_row_number-1)] = parameters_data['names'][i] |
||
1095 | |||
1096 | table_current_row_number = parameters_ws_current_row_number |
||
1097 | |||
1098 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
1099 | col = format_cell.get_column_letter(table_current_col_number) |
||
1100 | |||
1101 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
1102 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
1103 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
1104 | parameters_ws[col + str(table_current_row_number)] = value |
||
1105 | |||
1106 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
1107 | |||
1108 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
1109 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
1110 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
1111 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
1112 | |||
1113 | table_current_row_number += 1 |
||
1114 | |||
1115 | table_current_col_number = table_current_col_number + 3 |
||
1116 | |||
1117 | ################################################################################################################ |
||
1118 | # parameters chart and parameters table |
||
1119 | ################################################################################################################ |
||
1120 | |||
1121 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
1122 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters') |
||
1123 | |||
1124 | current_sheet_parameters_row_number += 1 |
||
1125 | |||
1126 | chart_start_row_number = current_sheet_parameters_row_number |
||
1127 | |||
1128 | col_index = 0 |
||
1129 | |||
1130 | for i in range(0, parameters_names_len): |
||
1131 | |||
1132 | if len(parameters_data['timestamps'][i]) == 0: |
||
1133 | continue |
||
1134 | |||
1135 | line = LineChart() |
||
1136 | data_col = 3+col_index*3 |
||
1137 | labels_col = 2+col_index*3 |
||
1138 | col_index += 1 |
||
1139 | line.title = _('Parameters') + ' - ' + \ |
||
1140 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
1141 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
1142 | max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number)) |
||
1143 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
1144 | max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number)) |
||
1145 | line.add_data(line_data, titles_from_data=True) |
||
1146 | line.set_categories(labels) |
||
1147 | line_data = line.series[0] |
||
1148 | line_data.marker.symbol = "circle" |
||
1149 | line_data.smooth = True |
||
1150 | line.x_axis.crosses = 'min' |
||
1151 | line.height = 8.25 |
||
1152 | line.width = 24 |
||
1153 | line.dLbls = DataLabelList() |
||
1154 | line.dLbls.dLblPos = 't' |
||
1155 | line.dLbls.showVal = False |
||
1156 | line.dLbls.showPercent = False |
||
1157 | chart_col = 'B' |
||
1158 | chart_cell = chart_col + str(chart_start_row_number) |
||
1159 | chart_start_row_number += 6 |
||
1160 | ws.add_chart(line, chart_cell) |
||
1161 | |||
1162 | current_sheet_parameters_row_number = chart_start_row_number |
||
1163 | |||
1164 | current_sheet_parameters_row_number += 1 |
||
1165 | |||
1166 | filename = str(uuid.uuid4()) + '.xlsx' |
||
1167 | wb.save(filename) |
||
1168 | |||
1169 | return filename |
||
1170 | |||
1171 | |||
1172 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
1173 | max_len = 0 |
||
1174 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
1175 | if len(value) > max_len: |
||
1176 | max_len = len(value) |
||
1177 | |||
1178 | return max_len |
||
1179 | |||
1180 | |||
1181 | def timestamps_data_all_equal_0(lists): |
||
1182 | for i, value in enumerate(list(lists)): |
||
1183 | if len(value) > 0: |
||
1184 | return False |
||
1185 | |||
1186 | return True |
||
1187 | |||
1188 | |||
1189 | def timestamps_data_not_equal_0(lists): |
||
1190 | number = 0 |
||
1191 | for i, value in enumerate(list(lists)): |
||
1192 | if len(value) > 0: |
||
1193 | number += 1 |
||
1194 | return number |
||
1195 | |||
1196 | |||
1197 | View Code Duplication | def is_base_period_timestamp_exists(base_period_data): |
|
1198 | timestamps = base_period_data['timestamps'] |
||
1199 | |||
1200 | if len(timestamps) == 0: |
||
1201 | return False |
||
1202 | |||
1203 | for timestamp in timestamps: |
||
1204 | if len(timestamp) > 0: |
||
1205 | return True |
||
1206 | |||
1207 | return False |
||
1208 |