Total Complexity | 91 |
Total Lines | 833 |
Duplicated Lines | 92.8 % |
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.storeenergyitem 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 | from core.utilities import get_translation |
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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 | import openpyxl.utils.cell as format_cell |
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7 | from openpyxl import Workbook |
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8 | from openpyxl.chart import PieChart, LineChart, Reference |
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9 | from openpyxl.chart.label import DataLabelList |
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10 | from openpyxl.drawing.image import Image |
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11 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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12 | from core.utilities import round2 |
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13 | |||
14 | ######################################################################################################################## |
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15 | # PROCEDURES |
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16 | # Step 1: Validate the report data |
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17 | # Step 2: Generate excel file |
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18 | # Step 3: Encode the excel file to Base64 |
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19 | ######################################################################################################################## |
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20 | |||
21 | |||
22 | View Code Duplication | def export(report, |
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23 | name, |
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24 | base_period_start_datetime_local, |
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25 | base_period_end_datetime_local, |
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26 | reporting_start_datetime_local, |
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27 | reporting_end_datetime_local, |
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28 | period_type, |
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29 | language): |
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30 | #################################################################################################################### |
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31 | # Step 1: Validate the report data |
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32 | #################################################################################################################### |
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33 | if report is None: |
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34 | return None |
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35 | |||
36 | #################################################################################################################### |
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37 | # Step 2: Generate excel file from the report data |
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38 | #################################################################################################################### |
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39 | filename = generate_excel(report, |
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40 | name, |
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41 | base_period_start_datetime_local, |
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42 | base_period_end_datetime_local, |
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43 | reporting_start_datetime_local, |
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44 | reporting_end_datetime_local, |
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45 | period_type, |
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46 | language) |
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47 | #################################################################################################################### |
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48 | # Step 3: Encode the excel file to Base64 |
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49 | #################################################################################################################### |
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50 | binary_file_data = b'' |
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51 | try: |
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52 | with open(filename, 'rb') as binary_file: |
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53 | binary_file_data = binary_file.read() |
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54 | except IOError as ex: |
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55 | print(str(ex)) |
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56 | |||
57 | # Base64 encode the bytes |
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58 | base64_encoded_data = base64.b64encode(binary_file_data) |
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59 | # get the Base64 encoded data using human-readable characters. |
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60 | base64_message = base64_encoded_data.decode('utf-8') |
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61 | # delete the file from server |
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62 | try: |
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63 | os.remove(filename) |
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64 | except NotImplementedError as ex: |
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65 | print(str(ex)) |
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66 | return base64_message |
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67 | |||
68 | |||
69 | View Code Duplication | def generate_excel(report, |
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70 | name, |
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71 | base_period_start_datetime_local, |
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72 | base_period_end_datetime_local, |
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73 | reporting_start_datetime_local, |
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74 | reporting_end_datetime_local, |
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75 | period_type, |
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76 | language): |
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77 | |||
78 | trans = get_translation(language) |
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79 | trans.install() |
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80 | _ = trans.gettext |
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81 | |||
82 | wb = Workbook() |
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83 | ws = wb.active |
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84 | ws.title = "StoreEnergyItem" |
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85 | |||
86 | # Row height |
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87 | ws.row_dimensions[1].height = 102 |
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88 | for i in range(2, 2000 + 1): |
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89 | ws.row_dimensions[i].height = 42 |
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90 | |||
91 | # Col width |
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92 | ws.column_dimensions['A'].width = 1.5 |
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93 | |||
94 | ws.column_dimensions['B'].width = 25.0 |
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95 | |||
96 | for i in range(ord('C'), ord('Z')): |
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97 | ws.column_dimensions[chr(i)].width = 15.0 |
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98 | |||
99 | # Font |
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100 | name_font = Font(name='Arial', size=15, bold=True) |
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101 | title_font = Font(name='Arial', size=15, bold=True) |
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102 | |||
103 | table_fill = PatternFill(fill_type='solid', fgColor='90ee90') |
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104 | f_border = Border(left=Side(border_style='medium'), |
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105 | right=Side(border_style='medium'), |
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106 | bottom=Side(border_style='medium'), |
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107 | top=Side(border_style='medium') |
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108 | ) |
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109 | b_border = Border( |
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110 | bottom=Side(border_style='medium'), |
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111 | ) |
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112 | |||
113 | b_c_alignment = Alignment(vertical='bottom', |
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114 | horizontal='center', |
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115 | text_rotation=0, |
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116 | wrap_text=True, |
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117 | shrink_to_fit=False, |
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118 | indent=0) |
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119 | c_c_alignment = Alignment(vertical='center', |
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120 | horizontal='center', |
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121 | text_rotation=0, |
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122 | wrap_text=True, |
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123 | shrink_to_fit=False, |
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124 | indent=0) |
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125 | b_r_alignment = Alignment(vertical='bottom', |
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126 | horizontal='right', |
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127 | text_rotation=0, |
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128 | wrap_text=True, |
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129 | shrink_to_fit=False, |
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130 | indent=0) |
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131 | # Img |
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132 | img = Image("excelexporters/myems.png") |
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133 | ws.add_image(img, 'A1') |
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134 | |||
135 | # Title |
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136 | ws['B3'].alignment = b_r_alignment |
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137 | ws['B3'] = _('Name') + ':' |
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138 | ws['C3'].border = b_border |
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139 | ws['C3'].alignment = b_c_alignment |
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140 | ws['C3'] = name |
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141 | |||
142 | ws['D3'].alignment = b_r_alignment |
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143 | ws['D3'] = _('Period Type') + ':' |
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144 | ws['E3'].border = b_border |
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145 | ws['E3'].alignment = b_c_alignment |
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146 | ws['E3'] = period_type |
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147 | |||
148 | ws['B4'].alignment = b_r_alignment |
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149 | ws['B4'] = _('Reporting Start Datetime') + ':' |
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150 | ws['C4'].border = b_border |
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151 | ws['C4'].alignment = b_c_alignment |
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152 | ws['C4'] = reporting_start_datetime_local |
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153 | |||
154 | ws['D4'].alignment = b_r_alignment |
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155 | ws['D4'] = _('Reporting End Datetime') + ':' |
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156 | ws['E4'].border = b_border |
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157 | ws['E4'].alignment = b_c_alignment |
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158 | ws['E4'] = reporting_end_datetime_local |
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159 | |||
160 | is_base_period_timestamp_exists_flag = is_base_period_timestamp_exists(report['base_period']) |
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161 | |||
162 | if is_base_period_timestamp_exists_flag: |
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163 | ws['B5'].alignment = b_r_alignment |
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164 | ws['B5'] = _('Base Period Start Datetime') + ':' |
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165 | ws['C5'].border = b_border |
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166 | ws['C5'].alignment = b_c_alignment |
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167 | ws['C5'] = base_period_start_datetime_local |
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168 | |||
169 | ws['D5'].alignment = b_r_alignment |
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170 | ws['D5'] = _('Base Period End Datetime') + ':' |
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171 | ws['E5'].border = b_border |
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172 | ws['E5'].alignment = b_c_alignment |
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173 | ws['E5'] = base_period_end_datetime_local |
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174 | |||
175 | if "reporting_period" not in report.keys() or \ |
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176 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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177 | filename = str(uuid.uuid4()) + '.xlsx' |
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178 | wb.save(filename) |
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179 | |||
180 | return filename |
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181 | |||
182 | #################################################################################################################### |
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183 | current_row_number = 7 |
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184 | reporting_period_data = report['reporting_period'] |
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185 | if "names" not in reporting_period_data.keys() or \ |
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186 | reporting_period_data['names'] is None or \ |
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187 | len(reporting_period_data['names']) == 0: |
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188 | pass |
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189 | else: |
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190 | ws['B' + str(current_row_number)].font = title_font |
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191 | ws['B' + str(current_row_number)] = name + ' ' + _('Reporting Period Consumption') |
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192 | |||
193 | current_row_number += 1 |
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194 | |||
195 | category = reporting_period_data['names'] |
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196 | ca_len = len(category) |
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197 | |||
198 | ws.row_dimensions[current_row_number].height = 60 |
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199 | ws['B' + str(current_row_number)].fill = table_fill |
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200 | ws['B' + str(current_row_number)].border = f_border |
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201 | |||
202 | col = 'C' |
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203 | |||
204 | for i in range(0, ca_len): |
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205 | ws[col + str(current_row_number)].fill = table_fill |
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206 | ws[col + str(current_row_number)].font = name_font |
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207 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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208 | ws[col + str(current_row_number)].border = f_border |
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209 | ws[col + str(current_row_number)] = \ |
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210 | reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \ |
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211 | " (" + reporting_period_data['units'][i] + ")" |
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212 | |||
213 | col = chr(ord(col) + 1) |
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214 | |||
215 | current_row_number += 1 |
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216 | |||
217 | ws['B' + str(current_row_number)].font = title_font |
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218 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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219 | ws['B' + str(current_row_number)].border = f_border |
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220 | ws['B' + str(current_row_number)] = _('Per Unit Area') |
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221 | |||
222 | col = 'C' |
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223 | |||
224 | for i in range(0, ca_len): |
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225 | ws[col + str(current_row_number)].font = name_font |
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226 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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227 | ws[col + str(current_row_number)].border = f_border |
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228 | ws[col + str(current_row_number)] = round2(reporting_period_data['subtotals'][i], 2) |
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229 | |||
230 | col = chr(ord(col) + 1) |
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231 | |||
232 | current_row_number += 1 |
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233 | |||
234 | ws['B' + str(current_row_number)].font = title_font |
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235 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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236 | ws['B' + str(current_row_number)].border = f_border |
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237 | ws['B' + str(current_row_number)] = _('Per Unit Area') |
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238 | |||
239 | col = 'C' |
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240 | |||
241 | for i in range(0, ca_len): |
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242 | ws[col + str(current_row_number)].font = name_font |
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243 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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244 | ws[col + str(current_row_number)].border = f_border |
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245 | ws[col + str(current_row_number)] = round2(reporting_period_data['subtotals_per_unit_area'][i], 2) |
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246 | |||
247 | col = chr(ord(col) + 1) |
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248 | |||
249 | current_row_number += 1 |
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250 | |||
251 | ws['B' + str(current_row_number)].font = title_font |
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252 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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253 | ws['B' + str(current_row_number)].border = f_border |
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254 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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255 | |||
256 | col = 'C' |
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257 | |||
258 | for i in range(0, ca_len): |
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259 | ws[col + str(current_row_number)].font = name_font |
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260 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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261 | ws[col + str(current_row_number)].border = f_border |
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262 | ws[col + str(current_row_number)] = str( |
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263 | round2(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \ |
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264 | if reporting_period_data['increment_rates'][i] is not None else '-' |
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265 | |||
266 | col = chr(ord(col) + 1) |
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267 | |||
268 | current_row_number += 2 |
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269 | |||
270 | category_dict = group_by_category(reporting_period_data['energy_category_names']) |
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271 | |||
272 | for category_dict_name, category_dict_values in category_dict.items(): |
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273 | |||
274 | ws['B' + str(current_row_number)].font = title_font |
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275 | ws['B' + str(current_row_number)] = name + ' ' + category_dict_name + ' ' + \ |
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276 | '(' + reporting_period_data['units'][category_dict_values[0]] + ') by Energy Item' |
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277 | |||
278 | current_row_number += 1 |
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279 | table_start_row_number = current_row_number |
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280 | |||
281 | ws['B' + str(current_row_number)].fill = table_fill |
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282 | ws['B' + str(current_row_number)].border = f_border |
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283 | |||
284 | ws['C' + str(current_row_number)].font = name_font |
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285 | ws['C' + str(current_row_number)].fill = table_fill |
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286 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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287 | ws['C' + str(current_row_number)].border = f_border |
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288 | ws['C' + str(current_row_number)] = _('Per Unit Area') |
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289 | |||
290 | current_row_number += 1 |
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291 | |||
292 | for i in category_dict_values: |
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293 | ws['B' + str(current_row_number)].font = title_font |
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294 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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295 | ws['B' + str(current_row_number)].border = f_border |
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296 | ws['B' + str(current_row_number)] = \ |
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297 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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298 | ws['C' + str(current_row_number)].font = name_font |
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299 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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300 | ws['C' + str(current_row_number)].border = f_border |
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301 | ws['C' + str(current_row_number)] = round2(reporting_period_data['subtotals'][i], 3) |
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302 | |||
303 | current_row_number += 1 |
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304 | |||
305 | table_end_row_number = current_row_number - 1 |
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306 | |||
307 | pie = PieChart() |
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308 | pie.title = name + ' ' + category_dict_name + ' ' + \ |
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309 | '(' + reporting_period_data['units'][category_dict_values[0]] + ') by Energy Item' |
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310 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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311 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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312 | pie.add_data(pie_data, titles_from_data=True) |
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313 | pie.set_categories(labels) |
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314 | pie.height = 6.6 |
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315 | pie.width = 9 |
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316 | s1 = pie.series[0] |
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317 | s1.dLbls = DataLabelList() |
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318 | s1.dLbls.showCatName = False |
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319 | s1.dLbls.showVal = False |
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320 | s1.dLbls.showPercent = True |
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321 | ws.add_chart(pie, 'D' + str(table_start_row_number)) |
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322 | |||
323 | if len(category_dict_values) < 4: |
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324 | current_row_number = current_row_number - len(category_dict_values) + 4 |
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325 | |||
326 | current_row_number += 1 |
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327 | |||
328 | #################################################################################################################### |
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329 | chart_start_row_number = current_row_number |
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330 | |||
331 | has_values_data = True |
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332 | has_timestamps_data = True |
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333 | |||
334 | if 'values' not in reporting_period_data.keys() or \ |
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335 | reporting_period_data['values'] is None or \ |
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336 | len(reporting_period_data['values']) == 0: |
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337 | has_values_data = False |
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338 | |||
339 | if 'timestamps' not in reporting_period_data.keys() or \ |
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340 | reporting_period_data['timestamps'] is None or \ |
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341 | len(reporting_period_data['timestamps']) == 0 or \ |
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342 | len(reporting_period_data['timestamps'][0]) == 0: |
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343 | has_timestamps_data = False |
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344 | |||
345 | if not is_base_period_timestamp_exists_flag: |
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346 | if has_values_data and has_timestamps_data: |
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347 | ca_len = len(reporting_period_data['names']) |
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348 | time = reporting_period_data['timestamps'][0] |
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349 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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350 | ws['B' + str(current_row_number)].font = title_font |
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351 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
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352 | |||
353 | current_row_number += 1 |
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354 | |||
355 | chart_start_row_number = current_row_number |
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356 | |||
357 | # 1: Stand for blank line 2: Stand for title |
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358 | current_row_number += ca_len * 6 + real_timestamps_len * 6 + 1 + 2 |
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359 | table_start_row_number = current_row_number |
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360 | |||
361 | ws.row_dimensions[current_row_number].height = 60 |
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362 | ws['B' + str(current_row_number)].fill = table_fill |
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363 | ws['B' + str(current_row_number)].font = title_font |
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364 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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365 | ws['B' + str(current_row_number)].border = f_border |
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366 | ws['B' + str(current_row_number)] = _('Datetime') |
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367 | |||
368 | col = 'C' |
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369 | |||
370 | for i in range(0, ca_len): |
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371 | ws[col + str(current_row_number)].fill = table_fill |
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372 | ws[col + str(current_row_number)].font = title_font |
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373 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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374 | ws[col + str(current_row_number)].border = f_border |
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375 | ws[col + str(current_row_number)] = \ |
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376 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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377 | col = chr(ord(col) + 1) |
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378 | |||
379 | current_row_number += 1 |
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380 | |||
381 | for i in range(0, len(time)): |
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382 | ws['B' + str(current_row_number)].font = title_font |
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383 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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384 | ws['B' + str(current_row_number)].border = f_border |
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385 | ws['B' + str(current_row_number)] = time[i] |
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386 | |||
387 | col = 'C' |
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388 | for j in range(0, ca_len): |
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389 | ws[col + str(current_row_number)].font = title_font |
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390 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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391 | ws[col + str(current_row_number)].border = f_border |
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392 | ws[col + str(current_row_number)] = round2(reporting_period_data['values'][j][i], 2) \ |
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393 | if reporting_period_data['values'][j][i] is not None else 0.00 |
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394 | col = chr(ord(col) + 1) |
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395 | |||
396 | current_row_number += 1 |
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397 | |||
398 | table_end_row_number = current_row_number - 1 |
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399 | |||
400 | ws['B' + str(current_row_number)].font = title_font |
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401 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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402 | ws['B' + str(current_row_number)].border = f_border |
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403 | ws['B' + str(current_row_number)] = _('Subtotal') |
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404 | |||
405 | col = 'C' |
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406 | |||
407 | for i in range(0, ca_len): |
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408 | ws[col + str(current_row_number)].font = title_font |
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409 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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410 | ws[col + str(current_row_number)].border = f_border |
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411 | ws[col + str(current_row_number)] = round2(reporting_period_data['subtotals'][i], 2) |
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412 | col = chr(ord(col) + 1) |
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413 | |||
414 | current_row_number += 2 |
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415 | |||
416 | for i in range(0, ca_len): |
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417 | line = LineChart() |
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418 | line.title = _('Reporting Period Consumption') + ' - ' \ |
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419 | + reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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420 | labels = Reference(ws, min_col=2, |
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421 | min_row=table_start_row_number + 1, |
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422 | max_row=table_end_row_number) |
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423 | reporting_line_data = Reference(ws, min_col=3 + i, |
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424 | min_row=table_start_row_number, |
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425 | max_row=table_end_row_number) |
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426 | line.add_data(reporting_line_data, titles_from_data=True) |
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427 | line.set_categories(labels) |
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428 | reporting_line_data = line.series[0] |
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429 | reporting_line_data.marker.symbol = "auto" |
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430 | reporting_line_data.smooth = True |
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431 | line.x_axis.crosses = 'min' |
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432 | line.height = 8.25 |
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433 | line.width = 24 |
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434 | chart_col = 'B' |
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435 | chart_cell = chart_col + str(chart_start_row_number) |
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436 | chart_start_row_number += 6 |
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437 | ws.add_chart(line, chart_cell) |
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438 | |||
439 | else: |
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440 | if has_values_data and has_timestamps_data: |
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441 | base_period_data = report['base_period'] |
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442 | reporting_period_data = report['reporting_period'] |
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443 | base_period_timestamps = base_period_data['timestamps'] |
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444 | reporting_period_timestamps = reporting_period_data['timestamps'] |
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445 | # Tip: |
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446 | # base_period_data['names'] == reporting_period_data['names'] |
||
447 | # base_period_data['units'] == reporting_period_data['units'] |
||
448 | base_period_data_ca_len = len(base_period_data['names']) |
||
449 | reporting_period_data_ca_len = len(reporting_period_data['names']) |
||
450 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
||
451 | ws['B' + str(current_row_number)].font = title_font |
||
452 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
||
453 | current_row_number += 1 |
||
454 | |||
455 | chart_start_row_number = current_row_number |
||
456 | |||
457 | # 1: Stand for blank line 2: Stand for title |
||
458 | current_row_number += reporting_period_data_ca_len * 6 + real_timestamps_len * 6 + 1 + 2 |
||
459 | table_start_row_number = current_row_number |
||
460 | |||
461 | ws.row_dimensions[current_row_number].height = 60 |
||
462 | current_col_number = 2 |
||
463 | col = format_cell.get_column_letter(current_col_number) |
||
464 | ws[col + str(current_row_number)].fill = table_fill |
||
465 | ws[col + str(current_row_number)].font = title_font |
||
466 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
467 | ws[col + str(current_row_number)].border = f_border |
||
468 | ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime') |
||
469 | |||
470 | for i in range(0, base_period_data_ca_len): |
||
471 | current_col_number += 1 |
||
472 | col = format_cell.get_column_letter(current_col_number) |
||
473 | |||
474 | ws[col + str(current_row_number)].fill = table_fill |
||
475 | ws[col + str(current_row_number)].font = title_font |
||
476 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
477 | ws[col + str(current_row_number)] = _('Base Period') + " - " + base_period_data['names'][i] + \ |
||
478 | " (" + base_period_data['units'][i] + ")" |
||
479 | ws[col + str(current_row_number)].border = f_border |
||
480 | |||
481 | current_col_number += 1 |
||
482 | col = format_cell.get_column_letter(current_col_number) |
||
483 | |||
484 | ws[col + str(current_row_number)].fill = table_fill |
||
485 | ws[col + str(current_row_number)].font = title_font |
||
486 | ws[col + str(current_row_number)].border = f_border |
||
487 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
488 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime') |
||
489 | |||
490 | for i in range(0, reporting_period_data_ca_len): |
||
491 | current_col_number += 1 |
||
492 | col = format_cell.get_column_letter(current_col_number) |
||
493 | ws[col + str(current_row_number)].fill = table_fill |
||
494 | ws[col + str(current_row_number)].font = title_font |
||
495 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
496 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
497 | + reporting_period_data['names'][i] + " (" + \ |
||
498 | reporting_period_data['units'][i] + ")" |
||
499 | ws[col + str(current_row_number)].border = f_border |
||
500 | |||
501 | current_row_number += 1 |
||
502 | |||
503 | max_timestamps_len = len(base_period_timestamps[0]) \ |
||
504 | if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \ |
||
505 | else len(reporting_period_timestamps[0]) |
||
506 | |||
507 | for i in range(0, max_timestamps_len): |
||
508 | current_col_number = 2 |
||
509 | col = format_cell.get_column_letter(current_col_number) |
||
510 | ws[col + str(current_row_number)].font = title_font |
||
511 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
512 | ws[col + str(current_row_number)] = base_period_timestamps[0][i] \ |
||
513 | if i < len(base_period_timestamps[0]) else None |
||
514 | ws[col + str(current_row_number)].border = f_border |
||
515 | |||
516 | for j in range(0, base_period_data_ca_len): |
||
517 | current_col_number += 1 |
||
518 | col = format_cell.get_column_letter(current_col_number) |
||
519 | |||
520 | ws[col + str(current_row_number)].font = title_font |
||
521 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
522 | ws[col + str(current_row_number)] = round2(base_period_data['values'][j][i], 2) \ |
||
523 | if i < len(base_period_data['values'][j]) else None |
||
524 | ws[col + str(current_row_number)].border = f_border |
||
525 | current_col_number += 1 |
||
526 | col = format_cell.get_column_letter(current_col_number) |
||
527 | |||
528 | ws[col + str(current_row_number)].font = title_font |
||
529 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
530 | ws[col + str(current_row_number)] = reporting_period_timestamps[0][i] \ |
||
531 | if i < len(reporting_period_timestamps[0]) else None |
||
532 | ws[col + str(current_row_number)].border = f_border |
||
533 | |||
534 | for j in range(0, reporting_period_data_ca_len): |
||
535 | current_col_number += 1 |
||
536 | col = format_cell.get_column_letter(current_col_number) |
||
537 | |||
538 | ws[col + str(current_row_number)].font = title_font |
||
539 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
540 | ws[col + str(current_row_number)] = round2(reporting_period_data['values'][j][i], 2) \ |
||
541 | if i < len(reporting_period_data['values'][j]) else None |
||
542 | ws[col + str(current_row_number)].border = f_border |
||
543 | |||
544 | current_row_number += 1 |
||
545 | |||
546 | current_col_number = 2 |
||
547 | col = format_cell.get_column_letter(current_col_number) |
||
548 | |||
549 | ws[col + str(current_row_number)].font = title_font |
||
550 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
551 | ws[col + str(current_row_number)] = _('Subtotal') |
||
552 | ws[col + str(current_row_number)].border = f_border |
||
553 | |||
554 | for i in range(0, base_period_data_ca_len): |
||
555 | current_col_number += 1 |
||
556 | col = format_cell.get_column_letter(current_col_number) |
||
557 | ws[col + str(current_row_number)].font = title_font |
||
558 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
559 | ws[col + str(current_row_number)] = round2(base_period_data['subtotals'][i], 2) |
||
560 | ws[col + str(current_row_number)].border = f_border |
||
561 | |||
562 | current_col_number += 1 |
||
563 | col = format_cell.get_column_letter(current_col_number) |
||
564 | |||
565 | ws[col + str(current_row_number)].font = title_font |
||
566 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
567 | ws[col + str(current_row_number)] = _('Subtotal') |
||
568 | ws[col + str(current_row_number)].border = f_border |
||
569 | |||
570 | for i in range(0, reporting_period_data_ca_len): |
||
571 | current_col_number += 1 |
||
572 | col = format_cell.get_column_letter(current_col_number) |
||
573 | ws[col + str(current_row_number)].font = title_font |
||
574 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
575 | ws[col + str(current_row_number)] = round2(reporting_period_data['subtotals'][i], 2) |
||
576 | ws[col + str(current_row_number)].border = f_border |
||
577 | |||
578 | current_row_number += 2 |
||
579 | |||
580 | for i in range(0, reporting_period_data_ca_len): |
||
581 | line = LineChart() |
||
582 | line.title = _('Base Period Consumption') + ' / ' \ |
||
583 | + _('Reporting Period Consumption') + ' - ' \ |
||
584 | + reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
||
585 | labels = Reference(ws, min_col=2 + base_period_data_ca_len + 1, |
||
586 | min_row=table_start_row_number + 1, |
||
587 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
588 | base_line_data = Reference(ws, min_col=3 + i, |
||
589 | min_row=table_start_row_number, |
||
590 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
591 | reporting_line_data = Reference(ws, min_col=3 + base_period_data_ca_len + 1 + i, |
||
592 | min_row=table_start_row_number, |
||
593 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
594 | line.add_data(base_line_data, titles_from_data=True) |
||
595 | line.add_data(reporting_line_data, titles_from_data=True) |
||
596 | line.set_categories(labels) |
||
597 | for j in range(len(line.series)): |
||
598 | line.series[j].marker.symbol = "auto" |
||
599 | line.series[j].smooth = True |
||
600 | line.x_axis.crosses = 'min' |
||
601 | line.height = 8.25 |
||
602 | line.width = 24 |
||
603 | chart_col = 'B' |
||
604 | chart_cell = chart_col + str(chart_start_row_number) |
||
605 | chart_start_row_number += 6 |
||
606 | ws.add_chart(line, chart_cell) |
||
607 | |||
608 | #################################################################################################################### |
||
609 | current_sheet_parameters_row_number = chart_start_row_number + 1 |
||
610 | if 'parameters' not in report.keys() or \ |
||
611 | report['parameters'] is None or \ |
||
612 | 'names' not in report['parameters'].keys() or \ |
||
613 | report['parameters']['names'] is None or \ |
||
614 | len(report['parameters']['names']) == 0 or \ |
||
615 | 'timestamps' not in report['parameters'].keys() or \ |
||
616 | report['parameters']['timestamps'] is None or \ |
||
617 | len(report['parameters']['timestamps']) == 0 or \ |
||
618 | 'values' not in report['parameters'].keys() or \ |
||
619 | report['parameters']['values'] is None or \ |
||
620 | len(report['parameters']['values']) == 0 or \ |
||
621 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
622 | pass |
||
623 | else: |
||
624 | ################################################################################################################ |
||
625 | # new worksheet |
||
626 | ################################################################################################################ |
||
627 | |||
628 | parameters_data = report['parameters'] |
||
629 | |||
630 | parameters_names_len = len(parameters_data['names']) |
||
631 | |||
632 | file_name = "Store"+re.sub(r'[^A-Z]', '', ws.title.strip('S')) + "_" |
||
633 | parameters_ws = wb.create_sheet(file_name + _('Parameters')) |
||
634 | |||
635 | parameters_timestamps_data_max_len = \ |
||
636 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
637 | |||
638 | # Row height |
||
639 | parameters_ws.row_dimensions[1].height = 102 |
||
640 | for i in range(2, 7 + 1): |
||
641 | parameters_ws.row_dimensions[i].height = 42 |
||
642 | |||
643 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
644 | parameters_ws.row_dimensions[i].height = 60 |
||
645 | |||
646 | # Col width |
||
647 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
648 | |||
649 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
650 | |||
651 | for i in range(3, 12 + parameters_names_len * 3): |
||
652 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
653 | |||
654 | # Img |
||
655 | img = Image("excelexporters/myems.png") |
||
656 | parameters_ws.add_image(img, 'A1') |
||
657 | |||
658 | # Title |
||
659 | parameters_ws['B3'].alignment = b_r_alignment |
||
660 | parameters_ws['B3'] = _('Name') + ':' |
||
661 | parameters_ws['C3'].border = b_border |
||
662 | parameters_ws['C3'].alignment = b_c_alignment |
||
663 | parameters_ws['C3'] = name |
||
664 | |||
665 | parameters_ws['D3'].alignment = b_r_alignment |
||
666 | parameters_ws['D3'] = _('Period Type') + ':' |
||
667 | parameters_ws['E3'].border = b_border |
||
668 | parameters_ws['E3'].alignment = b_c_alignment |
||
669 | parameters_ws['E3'] = period_type |
||
670 | |||
671 | parameters_ws['B4'].alignment = b_r_alignment |
||
672 | parameters_ws['B4'] = _('Reporting Start Datetime') + ':' |
||
673 | parameters_ws['C4'].border = b_border |
||
674 | parameters_ws['C4'].alignment = b_c_alignment |
||
675 | parameters_ws['C4'] = reporting_start_datetime_local |
||
676 | |||
677 | parameters_ws['D4'].alignment = b_r_alignment |
||
678 | parameters_ws['D4'] = _('Reporting End Datetime') + ':' |
||
679 | parameters_ws['E4'].border = b_border |
||
680 | parameters_ws['E4'].alignment = b_c_alignment |
||
681 | parameters_ws['E4'] = reporting_end_datetime_local |
||
682 | |||
683 | parameters_ws_current_row_number = 6 |
||
684 | |||
685 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
686 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters') |
||
687 | |||
688 | parameters_ws_current_row_number += 1 |
||
689 | |||
690 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
691 | |||
692 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
693 | |||
694 | parameters_ws_current_row_number += 1 |
||
695 | |||
696 | table_current_col_number = 2 |
||
697 | |||
698 | for i in range(0, parameters_names_len): |
||
699 | |||
700 | if len(parameters_data['timestamps'][i]) == 0: |
||
701 | continue |
||
702 | |||
703 | col = format_cell.get_column_letter(table_current_col_number) |
||
704 | |||
705 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
706 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
707 | |||
708 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
709 | |||
710 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
711 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
712 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
||
713 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
||
714 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
||
715 | |||
716 | table_current_row_number = parameters_ws_current_row_number |
||
717 | |||
718 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
719 | col = format_cell.get_column_letter(table_current_col_number) |
||
720 | |||
721 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
722 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
723 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
724 | parameters_ws[col + str(table_current_row_number)] = value |
||
725 | |||
726 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
727 | |||
728 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
729 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
730 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
731 | parameters_ws[col + str(table_current_row_number)] = round2(parameters_data['values'][i][j], 2) |
||
732 | |||
733 | table_current_row_number += 1 |
||
734 | |||
735 | table_current_col_number = table_current_col_number + 3 |
||
736 | |||
737 | ################################################################################################################ |
||
738 | # parameters chart and parameters table |
||
739 | ################################################################################################################ |
||
740 | |||
741 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
742 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters') |
||
743 | |||
744 | current_sheet_parameters_row_number += 1 |
||
745 | |||
746 | chart_start_row_number = current_sheet_parameters_row_number |
||
747 | |||
748 | col_index = 0 |
||
749 | |||
750 | for i in range(0, parameters_names_len): |
||
751 | |||
752 | if len(parameters_data['timestamps'][i]) == 0: |
||
753 | continue |
||
754 | |||
755 | line = LineChart() |
||
756 | data_col = 3 + col_index * 3 |
||
757 | labels_col = 2 + col_index * 3 |
||
758 | col_index += 1 |
||
759 | line.title = _('Parameters') + ' - ' + \ |
||
760 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
761 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
762 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
763 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
764 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
765 | line.add_data(line_data, titles_from_data=True) |
||
766 | line.set_categories(labels) |
||
767 | line_data = line.series[0] |
||
768 | line_data.marker.symbol = "auto" |
||
769 | line_data.smooth = True |
||
770 | line.x_axis.crosses = 'min' |
||
771 | line.height = 8.25 |
||
772 | line.width = 24 |
||
773 | chart_col = 'B' |
||
774 | chart_cell = chart_col + str(chart_start_row_number) |
||
775 | chart_start_row_number += 6 |
||
776 | ws.add_chart(line, chart_cell) |
||
777 | |||
778 | current_sheet_parameters_row_number = chart_start_row_number |
||
779 | |||
780 | current_sheet_parameters_row_number += 1 |
||
781 | |||
782 | filename = str(uuid.uuid4()) + '.xlsx' |
||
783 | wb.save(filename) |
||
784 | |||
785 | return filename |
||
786 | |||
787 | |||
788 | def group_by_category(category_list): |
||
789 | category_dict = dict() |
||
790 | for i, value in enumerate(category_list): |
||
791 | if value not in category_dict.keys(): |
||
792 | category_dict[value] = list() |
||
793 | category_dict[value].append(i) |
||
794 | return category_dict |
||
795 | |||
796 | |||
797 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
798 | max_len = 0 |
||
799 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
800 | if len(value) > max_len: |
||
801 | max_len = len(value) |
||
802 | |||
803 | return max_len |
||
804 | |||
805 | |||
806 | def timestamps_data_all_equal_0(lists): |
||
807 | for i, value in enumerate(list(lists)): |
||
808 | if len(value) > 0: |
||
809 | return False |
||
810 | |||
811 | return True |
||
812 | |||
813 | |||
814 | def timestamps_data_not_equal_0(lists): |
||
815 | number = 0 |
||
816 | for i, value in enumerate(list(lists)): |
||
817 | if len(value) > 0: |
||
818 | number += 1 |
||
819 | return number |
||
820 | |||
821 | |||
822 | View Code Duplication | def is_base_period_timestamp_exists(base_period_data): |
|
823 | timestamps = base_period_data['timestamps'] |
||
824 | |||
825 | if len(timestamps) == 0: |
||
826 | return False |
||
827 | |||
828 | for timestamp in timestamps: |
||
829 | if len(timestamp) > 0: |
||
830 | return True |
||
831 | |||
832 | return False |
||
833 |