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 LineChart, Reference |
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9 | from openpyxl.drawing.image import Image |
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10 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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11 | from core.utilities import round2 |
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12 | |||
13 | ######################################################################################################################## |
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14 | # PROCEDURES |
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15 | # Step 1: Validate the report data |
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16 | # Step 2: Generate excel file |
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17 | # Step 3: Encode the excel file to Base64 |
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18 | ######################################################################################################################## |
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19 | |||
20 | |||
21 | View Code Duplication | def export(report, |
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22 | name, |
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23 | base_period_start_datetime_local, |
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24 | base_period_end_datetime_local, |
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25 | reporting_start_datetime_local, |
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26 | reporting_end_datetime_local, |
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27 | period_type, |
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28 | language): |
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29 | #################################################################################################################### |
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30 | # Step 1: Validate the report data |
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31 | #################################################################################################################### |
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32 | if report is None: |
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33 | return None |
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34 | |||
35 | #################################################################################################################### |
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36 | # Step 2: Generate excel file from the report data |
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37 | #################################################################################################################### |
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38 | filename = generate_excel(report, |
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39 | name, |
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40 | base_period_start_datetime_local, |
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41 | base_period_end_datetime_local, |
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42 | reporting_start_datetime_local, |
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43 | reporting_end_datetime_local, |
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44 | period_type, |
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45 | language) |
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46 | #################################################################################################################### |
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47 | # Step 3: Encode the excel file to Base64 |
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48 | #################################################################################################################### |
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49 | binary_file_data = b'' |
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50 | try: |
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51 | with open(filename, 'rb') as binary_file: |
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52 | binary_file_data = binary_file.read() |
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53 | except IOError as ex: |
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54 | print(str(ex)) |
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55 | |||
56 | # Base64 encode the bytes |
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57 | base64_encoded_data = base64.b64encode(binary_file_data) |
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58 | # get the Base64 encoded data using human-readable characters. |
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59 | base64_message = base64_encoded_data.decode('utf-8') |
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60 | # delete the file from server |
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61 | try: |
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62 | os.remove(filename) |
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63 | except NotImplementedError as ex: |
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64 | print(str(ex)) |
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65 | return base64_message |
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66 | |||
67 | |||
68 | View Code Duplication | def generate_excel(report, |
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69 | name, |
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70 | base_period_start_datetime_local, |
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71 | base_period_end_datetime_local, |
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72 | reporting_start_datetime_local, |
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73 | reporting_end_datetime_local, |
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74 | period_type, |
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75 | language): |
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76 | |||
77 | trans = get_translation(language) |
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78 | trans.install() |
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79 | _ = trans.gettext |
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80 | |||
81 | wb = Workbook() |
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82 | |||
83 | # todo |
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84 | ws = wb.active |
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85 | ws.title = "TenantLoad" |
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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 | |||
132 | # Img |
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133 | img = Image("excelexporters/myems.png") |
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134 | ws.add_image(img, 'A1') |
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135 | |||
136 | # Title |
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137 | ws['B3'].alignment = b_r_alignment |
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138 | ws['B3'] = _('Name') + ':' |
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139 | ws['C3'].border = b_border |
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140 | ws['C3'].alignment = b_c_alignment |
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141 | ws['C3'] = name |
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142 | |||
143 | ws['D3'].alignment = b_r_alignment |
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144 | ws['D3'] = _('Period Type') + ':' |
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145 | ws['E3'].border = b_border |
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146 | ws['E3'].alignment = b_c_alignment |
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147 | ws['E3'] = period_type |
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148 | |||
149 | ws['B4'].alignment = b_r_alignment |
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150 | ws['B4'] = _('Reporting Start Datetime') + ':' |
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151 | ws['C4'].border = b_border |
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152 | ws['C4'].alignment = b_c_alignment |
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153 | ws['C4'] = reporting_start_datetime_local |
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154 | |||
155 | ws['D4'].alignment = b_r_alignment |
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156 | ws['D4'] = _('Reporting End Datetime') + ':' |
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157 | ws['E4'].border = b_border |
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158 | ws['E4'].alignment = b_c_alignment |
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159 | ws['E4'] = reporting_end_datetime_local |
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160 | |||
161 | is_base_period_timestamp_exists_flag = is_base_period_timestamp_exists(report['base_period']) |
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162 | |||
163 | if is_base_period_timestamp_exists_flag: |
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164 | ws['B5'].alignment = b_r_alignment |
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165 | ws['B5'] = _('Base Period Start Datetime') + ':' |
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166 | ws['C5'].border = b_border |
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167 | ws['C5'].alignment = b_c_alignment |
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168 | ws['C5'] = base_period_start_datetime_local |
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169 | |||
170 | ws['D5'].alignment = b_r_alignment |
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171 | ws['D5'] = _('Base Period End Datetime') + ':' |
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172 | ws['E5'].border = b_border |
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173 | ws['E5'].alignment = b_c_alignment |
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174 | ws['E5'] = base_period_end_datetime_local |
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175 | |||
176 | if "reporting_period" not in report.keys() or \ |
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177 | "timestamps" not in report['reporting_period'].keys() or len(report['reporting_period']['timestamps']) == 0: |
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178 | filename = str(uuid.uuid4()) + '.xlsx' |
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179 | wb.save(filename) |
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180 | |||
181 | return filename |
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182 | |||
183 | #################################################################################################################### |
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184 | current_row_number = 7 |
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185 | if "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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186 | pass |
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187 | else: |
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188 | reporting_period_data = report['reporting_period'] |
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189 | category = reporting_period_data['names'] |
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190 | ca_len = len(category) |
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191 | |||
192 | ws['B' + str(current_row_number)].font = title_font |
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193 | ws['B' + str(current_row_number)] = name + _('Reporting Period Average Load') |
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194 | |||
195 | current_row_number += 1 |
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196 | |||
197 | ws.row_dimensions[current_row_number].height = 60 |
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198 | ws['B' + str(current_row_number)].fill = table_fill |
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199 | ws['B' + str(current_row_number)].border = f_border |
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200 | |||
201 | for i in range(0, ca_len): |
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202 | col = chr(ord('C') + i) |
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203 | ws[col + str(current_row_number)].fill = table_fill |
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204 | ws[col + str(current_row_number)].font = name_font |
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205 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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206 | ws[col + str(current_row_number)].border = f_border |
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207 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
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208 | " (" + reporting_period_data['units'][i] + "/H)" |
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209 | |||
210 | current_row_number += 1 |
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211 | |||
212 | ws['B' + str(current_row_number)].font = title_font |
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213 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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214 | ws['B' + str(current_row_number)].border = f_border |
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215 | ws['B' + str(current_row_number)] = _('Average Load') |
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216 | |||
217 | for i in range(0, ca_len): |
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218 | col = chr(ord('C') + i) |
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219 | ws[col + str(current_row_number)].font = name_font |
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220 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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221 | ws[col + str(current_row_number)].border = f_border |
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222 | ws[col + str(current_row_number)] = round2(reporting_period_data['averages'][i], 2) \ |
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223 | if reporting_period_data['averages'][i] is not None else 'N/A' |
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224 | |||
225 | current_row_number += 1 |
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226 | |||
227 | ws['B' + str(current_row_number)].font = title_font |
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228 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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229 | ws['B' + str(current_row_number)].border = f_border |
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230 | ws['B' + str(current_row_number)] = _('Per Unit Area') |
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231 | |||
232 | for i in range(0, ca_len): |
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233 | col = chr(ord('C') + i) |
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234 | ws[col + str(current_row_number)].font = name_font |
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235 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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236 | ws[col + str(current_row_number)].border = f_border |
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237 | ws[col + str(current_row_number)] = round2(reporting_period_data['averages_per_unit_area'][i], 2) \ |
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238 | if reporting_period_data['averages_per_unit_area'][i] is not None else 'N/A' |
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239 | |||
240 | current_row_number += 1 |
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241 | |||
242 | ws['B' + str(current_row_number)].font = title_font |
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243 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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244 | ws['B' + str(current_row_number)].border = f_border |
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245 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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246 | |||
247 | for i in range(0, ca_len): |
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248 | col = chr(ord('C') + i) |
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249 | ws[col + str(current_row_number)].font = name_font |
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250 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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251 | ws[col + str(current_row_number)].border = f_border |
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252 | ws[col + str(current_row_number)] = str( |
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253 | round2(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \ |
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254 | if reporting_period_data['averages_increment_rate'][i] is not None else "-" |
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255 | |||
256 | current_row_number += 2 |
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257 | |||
258 | ws['B' + str(current_row_number)].font = title_font |
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259 | ws['B' + str(current_row_number)] = name + _('Reporting Period Maximum Load') |
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260 | |||
261 | current_row_number += 1 |
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262 | |||
263 | ws.row_dimensions[current_row_number].height = 60 |
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264 | ws['B' + str(current_row_number)].fill = table_fill |
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265 | ws['B' + str(current_row_number)].border = f_border |
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266 | for i in range(0, ca_len): |
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267 | col = chr(ord('C') + i) |
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268 | ws[col + str(current_row_number)].fill = table_fill |
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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)] = reporting_period_data['names'][i] + \ |
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273 | " (" + reporting_period_data['units'][i] + "/H)" |
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274 | |||
275 | current_row_number += 1 |
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276 | |||
277 | ws['B' + str(current_row_number)].font = title_font |
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278 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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279 | ws['B' + str(current_row_number)].border = f_border |
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280 | ws['B' + str(current_row_number)] = _('Maximum Load') |
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281 | |||
282 | for i in range(0, ca_len): |
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283 | col = chr(ord('C') + i) |
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284 | ws[col + str(current_row_number)].font = name_font |
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285 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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286 | ws[col + str(current_row_number)].border = f_border |
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287 | ws[col + str(current_row_number)] = round2(reporting_period_data['maximums'][i], 2) \ |
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288 | if reporting_period_data['maximums'][i] is not None else 'N/A' |
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289 | |||
290 | current_row_number += 1 |
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291 | |||
292 | ws['B' + str(current_row_number)].font = title_font |
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293 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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294 | ws['B' + str(current_row_number)].border = f_border |
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295 | ws['B' + str(current_row_number)] = _('Per Unit Area') |
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296 | |||
297 | for i in range(0, ca_len): |
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298 | col = chr(ord('C') + i) |
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299 | ws[col + str(current_row_number)].font = name_font |
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300 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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301 | ws[col + str(current_row_number)].border = f_border |
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302 | ws[col + str(current_row_number)] = round2(reporting_period_data['maximums_per_unit_area'][i], 2) \ |
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303 | if reporting_period_data['maximums_per_unit_area'][i] is not None else 'N/A' |
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304 | |||
305 | current_row_number += 1 |
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306 | |||
307 | ws['B' + str(current_row_number)].font = title_font |
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308 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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309 | ws['B' + str(current_row_number)].border = f_border |
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310 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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311 | |||
312 | for i in range(0, ca_len): |
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313 | col = chr(ord('C') + i) |
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314 | ws[col + str(current_row_number)].font = name_font |
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315 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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316 | ws[col + str(current_row_number)].border = f_border |
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317 | ws[col + str(current_row_number)] = str( |
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318 | round2(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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319 | if reporting_period_data['maximums_increment_rate'][i] is not None else "-" |
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320 | |||
321 | current_row_number += 2 |
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322 | |||
323 | ws['B' + str(current_row_number)].font = title_font |
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324 | ws['B' + str(current_row_number)] = name + _('Reporting Period Load Factor') |
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325 | |||
326 | current_row_number += 1 |
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327 | |||
328 | ws.row_dimensions[current_row_number].height = 60 |
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329 | ws['B' + str(current_row_number)].fill = table_fill |
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330 | ws['B' + str(current_row_number)].border = f_border |
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331 | for i in range(0, ca_len): |
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332 | col = chr(ord('C') + i) |
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333 | ws[col + str(current_row_number)].fill = table_fill |
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334 | ws[col + str(current_row_number)].font = name_font |
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335 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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336 | ws[col + str(current_row_number)].border = f_border |
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337 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] |
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338 | |||
339 | current_row_number += 1 |
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340 | |||
341 | ws['B' + str(current_row_number)].font = title_font |
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342 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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343 | ws['B' + str(current_row_number)].border = f_border |
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344 | ws['B' + str(current_row_number)] = _('Load Factor') |
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345 | |||
346 | for i in range(0, ca_len): |
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347 | col = chr(ord('C') + i) |
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348 | ws[col + str(current_row_number)].font = name_font |
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349 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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350 | ws[col + str(current_row_number)].border = f_border |
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351 | ws[col + str(current_row_number)] = round2(reporting_period_data['factors'][i], 2) \ |
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352 | if reporting_period_data['factors'][i] is not None else '-' |
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353 | |||
354 | current_row_number += 1 |
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355 | |||
356 | ws['B' + str(current_row_number)].font = title_font |
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357 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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358 | ws['B' + str(current_row_number)].border = f_border |
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359 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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360 | |||
361 | for i in range(0, ca_len): |
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362 | col = chr(ord('C') + i) |
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363 | ws[col + str(current_row_number)].font = name_font |
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364 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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365 | ws[col + str(current_row_number)].border = f_border |
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366 | ws[col + str(current_row_number)] = str( |
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367 | round2(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \ |
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368 | if reporting_period_data['factors_increment_rate'][i] is not None else "-" |
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369 | |||
370 | current_row_number += 2 |
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371 | |||
372 | has_sub_averages_data_flag = True |
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373 | has_sub_maximums_data_flag = True |
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374 | |||
375 | if "sub_averages" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_averages']) == 0: |
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376 | has_sub_averages_data_flag = False |
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377 | |||
378 | if "sub_maximums" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_maximums']) == 0: |
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379 | has_sub_maximums_data_flag = False |
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380 | |||
381 | current_chart_row_number = current_row_number |
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382 | |||
383 | if has_sub_averages_data_flag or has_sub_maximums_data_flag: |
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384 | if not is_base_period_timestamp_exists_flag: |
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385 | reporting_period_data = report['reporting_period'] |
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386 | category = reporting_period_data['names'] |
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387 | ca_len = len(category) |
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388 | times = reporting_period_data['timestamps'] |
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389 | time = times[0] |
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390 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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391 | ws['B' + str(current_row_number)].font = title_font |
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392 | ws['B' + str(current_row_number)] = name + _('Detailed Data') |
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393 | |||
394 | current_row_number += 1 |
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395 | chart_start_number = current_row_number |
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396 | # 1: Stand for blank line 2: Stand for title |
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397 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
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398 | if has_sub_averages_data_flag: |
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399 | current_row_number = (current_row_number + ca_len * 6) |
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400 | |||
401 | if has_sub_maximums_data_flag: |
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402 | current_row_number = (current_row_number + ca_len * 6) |
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403 | |||
404 | table_start_number = current_row_number |
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405 | |||
406 | ws.row_dimensions[current_row_number].height = 60 |
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407 | current_col_number = 2 |
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408 | col = format_cell.get_column_letter(current_col_number) |
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409 | ws[col + str(current_row_number)].fill = table_fill |
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410 | ws[col + str(current_row_number)].font = title_font |
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411 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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412 | ws[col + str(current_row_number)].border = f_border |
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413 | ws[col + str(current_row_number)] = _('Datetime') |
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414 | |||
415 | current_col_number = 3 |
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416 | col = format_cell.get_column_letter(current_col_number) |
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417 | |||
418 | for i in range(0, ca_len): |
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419 | if has_sub_averages_data_flag: |
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420 | ws[col + str(current_row_number)].fill = table_fill |
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421 | ws[col + str(current_row_number)].font = title_font |
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422 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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423 | ws[col + str(current_row_number)].border = f_border |
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424 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
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425 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
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426 | |||
427 | current_col_number += 1 |
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428 | col = format_cell.get_column_letter(current_col_number) |
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429 | |||
430 | if has_sub_maximums_data_flag: |
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431 | ws[col + str(current_row_number)].fill = table_fill |
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432 | ws[col + str(current_row_number)].font = title_font |
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433 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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434 | ws[col + str(current_row_number)].border = f_border |
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435 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
||
436 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
437 | |||
438 | current_col_number += 1 |
||
439 | col = format_cell.get_column_letter(current_col_number) |
||
440 | |||
441 | current_row_number += 1 |
||
442 | |||
443 | for i in range(0, len(time)): |
||
444 | current_col_number = 2 |
||
445 | col = format_cell.get_column_letter(current_col_number) |
||
446 | ws[col + str(current_row_number)].font = title_font |
||
447 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
448 | ws[col + str(current_row_number)].border = f_border |
||
449 | ws[col + str(current_row_number)] = time[i] |
||
450 | |||
451 | current_col_number = 3 |
||
452 | col = format_cell.get_column_letter(current_col_number) |
||
453 | for j in range(0, ca_len): |
||
454 | |||
455 | if has_sub_averages_data_flag: |
||
456 | ws[col + str(current_row_number)].font = title_font |
||
457 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
458 | ws[col + str(current_row_number)].border = f_border |
||
459 | ws[col + str(current_row_number)] = round2(reporting_period_data['sub_averages'][j][i], 2) \ |
||
460 | if reporting_period_data['sub_averages'][j][i] is not None else None |
||
461 | current_col_number += 1 |
||
462 | col = format_cell.get_column_letter(current_col_number) |
||
463 | |||
464 | if has_sub_maximums_data_flag: |
||
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)] = round2(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
469 | if reporting_period_data['sub_maximums'][j][i] is not None else None |
||
470 | current_col_number += 1 |
||
471 | col = format_cell.get_column_letter(current_col_number) |
||
472 | |||
473 | current_row_number += 1 |
||
474 | |||
475 | table_end_number = current_row_number - 1 |
||
476 | |||
477 | current_chart_col_number = 3 |
||
478 | current_chart_row_number = chart_start_number |
||
479 | |||
480 | for i in range(0, ca_len): |
||
481 | labels = Reference(ws, min_col=2, min_row=table_start_number + 1, max_row=table_end_number) |
||
482 | |||
483 | if has_sub_averages_data_flag: |
||
484 | line = LineChart() |
||
485 | line.title = _('Reporting Period Average Load') + ' - ' \ |
||
486 | + reporting_period_data['names'][i] + \ |
||
487 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
488 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
489 | max_row=table_end_number) |
||
490 | line.add_data(datas, titles_from_data=True) |
||
491 | line.set_categories(labels) |
||
492 | line_data = line.series[0] |
||
493 | line_data.marker.symbol = "auto" |
||
494 | line_data.smooth = True |
||
495 | line.x_axis.crosses = 'min' |
||
496 | line.height = 8.25 |
||
497 | line.width = 24 |
||
498 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
499 | current_chart_row_number += 6 |
||
500 | current_chart_col_number += 1 |
||
501 | |||
502 | if has_sub_maximums_data_flag: |
||
503 | line = LineChart() |
||
504 | line.title = _('Reporting Period Maximum Load') + ' - ' \ |
||
505 | + reporting_period_data['names'][i] + \ |
||
506 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
507 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
508 | max_row=table_end_number) |
||
509 | line.add_data(datas, titles_from_data=True) |
||
510 | line.set_categories(labels) |
||
511 | line_data = line.series[0] |
||
512 | line_data.marker.symbol = "auto" |
||
513 | line_data.smooth = True |
||
514 | line.x_axis.crosses = 'min' |
||
515 | line.height = 8.25 |
||
516 | line.width = 24 |
||
517 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
518 | current_chart_row_number += 6 |
||
519 | current_chart_col_number += 1 |
||
520 | else: |
||
521 | base_period_data = report['base_period'] |
||
522 | reporting_period_data = report['reporting_period'] |
||
523 | base_period_timestamps = base_period_data['timestamps'] |
||
524 | reporting_period_timestamps = reporting_period_data['timestamps'] |
||
525 | # Tip: |
||
526 | # base_period_data['names'] == reporting_period_data['names'] |
||
527 | # base_period_data['units'] == reporting_period_data['units'] |
||
528 | base_period_data_ca_len = len(base_period_data['names']) |
||
529 | reporting_period_data_ca_len = len(reporting_period_data['names']) |
||
530 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
||
531 | ws['B' + str(current_row_number)].font = title_font |
||
532 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
||
533 | |||
534 | current_row_number += 1 |
||
535 | chart_start_number = current_row_number |
||
536 | |||
537 | # 1: Stand for blank line 2: Stand for title |
||
538 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
||
539 | |||
540 | if has_sub_averages_data_flag: |
||
541 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
542 | |||
543 | if has_sub_maximums_data_flag: |
||
544 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
545 | |||
546 | table_start_row_number = current_row_number |
||
547 | |||
548 | has_data = False |
||
549 | |||
550 | if len(base_period_timestamps[0]) or len(reporting_period_timestamps[0]) > 0: |
||
551 | has_data = True |
||
552 | |||
553 | if has_data: |
||
554 | ws.row_dimensions[current_row_number].height = 60 |
||
555 | current_col_number = 2 |
||
556 | col = format_cell.get_column_letter(current_col_number) |
||
557 | ws[col + str(current_row_number)].fill = table_fill |
||
558 | ws[col + str(current_row_number)].font = title_font |
||
559 | ws[col + str(current_row_number)].border = f_border |
||
560 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
561 | ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime') |
||
562 | |||
563 | for i in range(0, base_period_data_ca_len): |
||
564 | if has_sub_averages_data_flag: |
||
565 | current_col_number += 1 |
||
566 | col = format_cell.get_column_letter(current_col_number) |
||
567 | |||
568 | ws[col + str(current_row_number)].fill = table_fill |
||
569 | ws[col + str(current_row_number)].font = title_font |
||
570 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
571 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
572 | + base_period_data['names'][i] + \ |
||
573 | " " + _('Average Load') + "(" + base_period_data['units'][i] + "/H)" |
||
574 | ws[col + str(current_row_number)].border = f_border |
||
575 | |||
576 | if has_sub_maximums_data_flag: |
||
577 | current_col_number += 1 |
||
578 | col = format_cell.get_column_letter(current_col_number) |
||
579 | |||
580 | ws[col + str(current_row_number)].fill = table_fill |
||
581 | ws[col + str(current_row_number)].font = title_font |
||
582 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
583 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
584 | + base_period_data['names'][i] + \ |
||
585 | " " + _('Maximum Load') + "(" + base_period_data['units'][i] + "/H)" |
||
586 | ws[col + str(current_row_number)].border = f_border |
||
587 | |||
588 | current_col_number += 1 |
||
589 | col = format_cell.get_column_letter(current_col_number) |
||
590 | |||
591 | ws[col + str(current_row_number)].fill = table_fill |
||
592 | ws[col + str(current_row_number)].font = title_font |
||
593 | ws[col + str(current_row_number)].border = f_border |
||
594 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
595 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime') |
||
596 | |||
597 | for i in range(0, reporting_period_data_ca_len): |
||
598 | if has_sub_averages_data_flag: |
||
599 | current_col_number += 1 |
||
600 | col = format_cell.get_column_letter(current_col_number) |
||
601 | ws[col + str(current_row_number)].fill = table_fill |
||
602 | ws[col + str(current_row_number)].font = title_font |
||
603 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
604 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
605 | + reporting_period_data['names'][i] + \ |
||
606 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
607 | ws[col + str(current_row_number)].border = f_border |
||
608 | |||
609 | if has_sub_maximums_data_flag: |
||
610 | current_col_number += 1 |
||
611 | col = format_cell.get_column_letter(current_col_number) |
||
612 | ws[col + str(current_row_number)].fill = table_fill |
||
613 | ws[col + str(current_row_number)].font = title_font |
||
614 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
615 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
616 | + reporting_period_data['names'][i] + \ |
||
617 | " " + _('Maximum Load') + "(" + \ |
||
618 | reporting_period_data['units'][i] + "/H)" |
||
619 | ws[col + str(current_row_number)].border = f_border |
||
620 | |||
621 | current_row_number += 1 |
||
622 | |||
623 | max_timestamps_len = len(base_period_timestamps[0]) \ |
||
624 | if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \ |
||
625 | else len(reporting_period_timestamps[0]) |
||
626 | |||
627 | for i in range(0, max_timestamps_len): |
||
628 | current_col_number = 2 |
||
629 | col = format_cell.get_column_letter(current_col_number) |
||
630 | ws[col + str(current_row_number)].font = title_font |
||
631 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
632 | ws[col + str(current_row_number)] = base_period_timestamps[0][i] \ |
||
633 | if i < len(base_period_timestamps[0]) else None |
||
634 | ws[col + str(current_row_number)].border = f_border |
||
635 | |||
636 | for j in range(0, base_period_data_ca_len): |
||
637 | if has_sub_averages_data_flag: |
||
638 | current_col_number += 1 |
||
639 | col = format_cell.get_column_letter(current_col_number) |
||
640 | |||
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)] = round2(base_period_data['sub_averages'][j][i], 2) \ |
||
644 | if i < len(base_period_data['sub_averages'][j]) \ |
||
645 | and base_period_data['sub_averages'][j][i] is not None else None |
||
646 | ws[col + str(current_row_number)].border = f_border |
||
647 | |||
648 | if has_sub_maximums_data_flag: |
||
649 | current_col_number += 1 |
||
650 | col = format_cell.get_column_letter(current_col_number) |
||
651 | |||
652 | ws[col + str(current_row_number)].font = title_font |
||
653 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
654 | ws[col + str(current_row_number)] = round2(base_period_data['sub_maximums'][j][i], 2) \ |
||
655 | if i < len(base_period_data['sub_maximums'][j]) \ |
||
656 | and base_period_data['sub_averages'][j][i] is not None else None |
||
657 | ws[col + str(current_row_number)].border = f_border |
||
658 | |||
659 | current_col_number += 1 |
||
660 | col = format_cell.get_column_letter(current_col_number) |
||
661 | |||
662 | ws[col + str(current_row_number)].font = title_font |
||
663 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
664 | ws[col + str(current_row_number)] = reporting_period_timestamps[0][i] \ |
||
665 | if i < len(reporting_period_timestamps[0]) else None |
||
666 | ws[col + str(current_row_number)].border = f_border |
||
667 | |||
668 | for j in range(0, reporting_period_data_ca_len): |
||
669 | if has_sub_averages_data_flag: |
||
670 | current_col_number += 1 |
||
671 | col = format_cell.get_column_letter(current_col_number) |
||
672 | |||
673 | ws[col + str(current_row_number)].font = title_font |
||
674 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
675 | ws[col + str(current_row_number)] = round2(reporting_period_data['sub_averages'][j][i], 2) \ |
||
676 | if i < len(reporting_period_data['sub_averages'][j]) \ |
||
677 | and reporting_period_data['sub_averages'][j][i] is not None else None |
||
678 | ws[col + str(current_row_number)].border = f_border |
||
679 | |||
680 | if has_sub_maximums_data_flag: |
||
681 | current_col_number += 1 |
||
682 | col = format_cell.get_column_letter(current_col_number) |
||
683 | |||
684 | ws[col + str(current_row_number)].font = title_font |
||
685 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
686 | ws[col + str(current_row_number)] = round2(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
687 | if i < len(reporting_period_data['sub_maximums'][j]) \ |
||
688 | and reporting_period_data['sub_maximums'][j][i] is not None else None |
||
689 | ws[col + str(current_row_number)].border = f_border |
||
690 | |||
691 | current_row_number += 1 |
||
692 | |||
693 | current_chart_col_number = 3 |
||
694 | current_chart_row_number = chart_start_number |
||
695 | |||
696 | for i in range(0, reporting_period_data_ca_len): |
||
697 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 2 + 1, |
||
698 | min_row=table_start_row_number + 1, |
||
699 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
700 | |||
701 | if has_sub_averages_data_flag: |
||
702 | # line |
||
703 | line = LineChart() |
||
704 | line.title = _('Base Period Average Load') + ' / ' \ |
||
705 | + _('Reporting Period Average Load') + ' - ' \ |
||
706 | + reporting_period_data['names'][i] + \ |
||
707 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
708 | base_line_data = Reference(ws, |
||
709 | min_col=current_chart_col_number, |
||
710 | min_row=table_start_row_number, |
||
711 | max_row=table_start_row_number |
||
712 | + len(reporting_period_timestamps[0])) |
||
713 | |||
714 | data_distance = base_period_data_ca_len |
||
715 | if has_sub_maximums_data_flag: |
||
716 | data_distance *= 2 |
||
717 | |||
718 | reporting_line_data = Reference(ws, |
||
719 | min_col=current_chart_col_number + data_distance + 1, |
||
720 | min_row=table_start_row_number, |
||
721 | max_row=table_start_row_number |
||
722 | + len(reporting_period_timestamps[0])) |
||
723 | line.add_data(base_line_data, titles_from_data=True) |
||
724 | line.add_data(reporting_line_data, titles_from_data=True) |
||
725 | line.set_categories(labels) |
||
726 | for j in range(len(line.series)): |
||
727 | line.series[j].marker.symbol = "auto" |
||
728 | line.series[j].smooth = True |
||
729 | line.x_axis.crosses = 'min' |
||
730 | line.height = 8.25 |
||
731 | line.width = 24 |
||
732 | chart_col = 'B' |
||
733 | chart_cell = chart_col + str(current_chart_row_number) |
||
734 | ws.add_chart(line, chart_cell) |
||
735 | current_chart_row_number += 6 |
||
736 | current_chart_col_number += 1 |
||
737 | |||
738 | if has_sub_maximums_data_flag: |
||
739 | # line |
||
740 | line = LineChart() |
||
741 | line.title = _('Base Period Maximum Load') + ' / ' \ |
||
742 | + _('Reporting Period Maximum Load') + ' - ' \ |
||
743 | + reporting_period_data['names'][i] + \ |
||
744 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
745 | base_line_data = Reference(ws, |
||
746 | min_col=current_chart_col_number, |
||
747 | min_row=table_start_row_number, |
||
748 | max_row=table_start_row_number |
||
749 | + len(reporting_period_timestamps[0])) |
||
750 | |||
751 | data_distance = base_period_data_ca_len |
||
752 | if has_sub_averages_data_flag: |
||
753 | data_distance *= 2 |
||
754 | |||
755 | reporting_line_data = Reference(ws, |
||
756 | min_col=current_chart_col_number + data_distance + 1, |
||
757 | min_row=table_start_row_number, |
||
758 | max_row=table_start_row_number |
||
759 | + len(reporting_period_timestamps[0])) |
||
760 | line.add_data(base_line_data, titles_from_data=True) |
||
761 | line.add_data(reporting_line_data, titles_from_data=True) |
||
762 | line.set_categories(labels) |
||
763 | for j in range(len(line.series)): |
||
764 | line.series[j].marker.symbol = "auto" |
||
765 | line.series[j].smooth = True |
||
766 | line.x_axis.crosses = 'min' |
||
767 | line.height = 8.25 |
||
768 | line.width = 24 |
||
769 | chart_col = 'B' |
||
770 | chart_cell = chart_col + str(current_chart_row_number) |
||
771 | ws.add_chart(line, chart_cell) |
||
772 | current_chart_row_number += 6 |
||
773 | current_chart_col_number += 1 |
||
774 | |||
775 | current_row_number += 2 |
||
776 | |||
777 | #################################################################################################################### |
||
778 | current_sheet_parameters_row_number = current_chart_row_number + 1 |
||
779 | if 'parameters' not in report.keys() or \ |
||
780 | report['parameters'] is None or \ |
||
781 | 'names' not in report['parameters'].keys() or \ |
||
782 | report['parameters']['names'] is None or \ |
||
783 | len(report['parameters']['names']) == 0 or \ |
||
784 | 'timestamps' not in report['parameters'].keys() or \ |
||
785 | report['parameters']['timestamps'] is None or \ |
||
786 | len(report['parameters']['timestamps']) == 0 or \ |
||
787 | 'values' not in report['parameters'].keys() or \ |
||
788 | report['parameters']['values'] is None or \ |
||
789 | len(report['parameters']['values']) == 0 or \ |
||
790 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
791 | pass |
||
792 | else: |
||
793 | |||
794 | ################################################################################################################ |
||
795 | # new worksheet |
||
796 | ################################################################################################################ |
||
797 | |||
798 | parameters_data = report['parameters'] |
||
799 | parameters_names_len = len(parameters_data['names']) |
||
800 | |||
801 | file_name = (re.sub(r'[^A-Z]', '', ws.title))+'_' |
||
802 | parameters_ws = wb.create_sheet(file_name + _('Parameters')) |
||
803 | |||
804 | parameters_timestamps_data_max_len = \ |
||
805 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
806 | |||
807 | # Row height |
||
808 | parameters_ws.row_dimensions[1].height = 102 |
||
809 | for i in range(2, 7 + 1): |
||
810 | parameters_ws.row_dimensions[i].height = 42 |
||
811 | |||
812 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
813 | parameters_ws.row_dimensions[i].height = 60 |
||
814 | |||
815 | # Col width |
||
816 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
817 | |||
818 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
819 | |||
820 | for i in range(3, 12 + parameters_names_len * 3): |
||
821 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
822 | |||
823 | # Img |
||
824 | img = Image("excelexporters/myems.png") |
||
825 | parameters_ws.add_image(img, 'A1') |
||
826 | |||
827 | # Title |
||
828 | parameters_ws['B3'].alignment = b_r_alignment |
||
829 | parameters_ws['B3'] = _('Name') + ':' |
||
830 | parameters_ws['C3'].border = b_border |
||
831 | parameters_ws['C3'].alignment = b_c_alignment |
||
832 | parameters_ws['C3'] = name |
||
833 | |||
834 | parameters_ws['D3'].alignment = b_r_alignment |
||
835 | parameters_ws['D3'] = _('Period Type') + ':' |
||
836 | parameters_ws['E3'].border = b_border |
||
837 | parameters_ws['E3'].alignment = b_c_alignment |
||
838 | parameters_ws['E3'] = period_type |
||
839 | |||
840 | parameters_ws['B4'].alignment = b_r_alignment |
||
841 | parameters_ws['B4'] = _('Reporting Start Datetime') + ':' |
||
842 | parameters_ws['C4'].border = b_border |
||
843 | parameters_ws['C4'].alignment = b_c_alignment |
||
844 | parameters_ws['C4'] = reporting_start_datetime_local |
||
845 | |||
846 | parameters_ws['D4'].alignment = b_r_alignment |
||
847 | parameters_ws['D4'] = _('Reporting End Datetime') + ':' |
||
848 | parameters_ws['E4'].border = b_border |
||
849 | parameters_ws['E4'].alignment = b_c_alignment |
||
850 | parameters_ws['E4'] = reporting_end_datetime_local |
||
851 | |||
852 | parameters_ws_current_row_number = 6 |
||
853 | |||
854 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
855 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters') |
||
856 | |||
857 | parameters_ws_current_row_number += 1 |
||
858 | |||
859 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
860 | |||
861 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
862 | |||
863 | parameters_ws_current_row_number += 1 |
||
864 | |||
865 | table_current_col_number = 2 |
||
866 | |||
867 | for i in range(0, parameters_names_len): |
||
868 | |||
869 | if len(parameters_data['timestamps'][i]) == 0: |
||
870 | continue |
||
871 | |||
872 | col = format_cell.get_column_letter(table_current_col_number) |
||
873 | |||
874 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
875 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
876 | |||
877 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
878 | |||
879 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
880 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
881 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
||
882 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
||
883 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
||
884 | |||
885 | table_current_row_number = parameters_ws_current_row_number |
||
886 | |||
887 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
888 | col = format_cell.get_column_letter(table_current_col_number) |
||
889 | |||
890 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
891 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
892 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
893 | parameters_ws[col + str(table_current_row_number)] = value |
||
894 | |||
895 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
896 | |||
897 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
898 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
899 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
900 | parameters_ws[col + str(table_current_row_number)] = round2(parameters_data['values'][i][j], 2) |
||
901 | |||
902 | table_current_row_number += 1 |
||
903 | |||
904 | table_current_col_number = table_current_col_number + 3 |
||
905 | |||
906 | ################################################################################################################ |
||
907 | # parameters chart and parameters table |
||
908 | ################################################################################################################ |
||
909 | |||
910 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
911 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters') |
||
912 | |||
913 | current_sheet_parameters_row_number += 1 |
||
914 | |||
915 | chart_start_row_number = current_sheet_parameters_row_number |
||
916 | |||
917 | col_index = 0 |
||
918 | |||
919 | for i in range(0, parameters_names_len): |
||
920 | |||
921 | if len(parameters_data['timestamps'][i]) == 0: |
||
922 | continue |
||
923 | |||
924 | line = LineChart() |
||
925 | data_col = 3 + col_index * 3 |
||
926 | labels_col = 2 + col_index * 3 |
||
927 | col_index += 1 |
||
928 | line.title = _('Parameters') + ' - ' + \ |
||
929 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
930 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
931 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
932 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
933 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
934 | line.add_data(line_data, titles_from_data=True) |
||
935 | line.set_categories(labels) |
||
936 | line_data = line.series[0] |
||
937 | line_data.marker.symbol = "auto" |
||
938 | line_data.smooth = True |
||
939 | line.x_axis.crosses = 'min' |
||
940 | line.height = 8.25 |
||
941 | line.width = 24 |
||
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 | current_sheet_parameters_row_number = chart_start_row_number |
||
948 | |||
949 | current_sheet_parameters_row_number += 1 |
||
950 | #################################################################################################################### |
||
951 | filename = str(uuid.uuid4()) + '.xlsx' |
||
952 | wb.save(filename) |
||
953 | |||
954 | return filename |
||
955 | |||
956 | |||
957 | def timestamps_data_all_equal_0(lists): |
||
958 | for i, value in enumerate(list(lists)): |
||
959 | if len(value) > 0: |
||
960 | return False |
||
961 | |||
962 | return True |
||
963 | |||
964 | |||
965 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
966 | max_len = 0 |
||
967 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
968 | if len(value) > max_len: |
||
969 | max_len = len(value) |
||
970 | |||
971 | return max_len |
||
972 | |||
973 | |||
974 | def timestamps_data_not_equal_0(lists): |
||
975 | number = 0 |
||
976 | for i, value in enumerate(list(lists)): |
||
977 | if len(value) > 0: |
||
978 | number += 1 |
||
979 | return number |
||
980 | |||
981 | |||
982 | View Code Duplication | def is_base_period_timestamp_exists(base_period_data): |
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0 ignored issues
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show
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|||
983 | timestamps = base_period_data['timestamps'] |
||
984 | |||
985 | if len(timestamps) == 0: |
||
986 | return False |
||
987 | |||
988 | for timestamp in timestamps: |
||
989 | if len(timestamp) > 0: |
||
990 | return True |
||
991 | |||
992 | return False |
||
993 |