Conditions | 39 |
Total Lines | 391 |
Code Lines | 301 |
Lines | 391 |
Ratio | 100 % |
Changes | 0 |
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like excelexporters.tenantenergyitem.generate_excel() 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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65 | View Code Duplication | def generate_excel(report, |
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66 | name, |
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67 | reporting_start_datetime_local, |
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68 | reporting_end_datetime_local, |
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69 | period_type): |
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70 | wb = Workbook() |
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71 | ws = wb.active |
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72 | |||
73 | # Row height |
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74 | ws.row_dimensions[1].height = 102 |
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75 | for i in range(2, 2000 + 1): |
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76 | ws.row_dimensions[i].height = 42 |
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77 | |||
78 | # Col width |
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79 | ws.column_dimensions['A'].width = 1.5 |
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80 | |||
81 | ws.column_dimensions['B'].width = 25.0 |
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82 | |||
83 | for i in range(ord('C'), ord('L')): |
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84 | ws.column_dimensions[chr(i)].width = 15.0 |
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85 | |||
86 | # Font |
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87 | name_font = Font(name='Constantia', size=15, bold=True) |
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88 | title_font = Font(name='宋体', size=15, bold=True) |
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89 | data_font = Font(name='Franklin Gothic Book', size=11) |
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90 | |||
91 | table_fill = PatternFill(fill_type='solid', fgColor='1F497D') |
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92 | f_border = Border(left=Side(border_style='medium', color='00000000'), |
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93 | right=Side(border_style='medium', color='00000000'), |
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94 | bottom=Side(border_style='medium', color='00000000'), |
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95 | top=Side(border_style='medium', color='00000000') |
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96 | ) |
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97 | b_border = Border( |
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98 | bottom=Side(border_style='medium', color='00000000'), |
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99 | ) |
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100 | |||
101 | b_c_alignment = Alignment(vertical='bottom', |
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102 | horizontal='center', |
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103 | text_rotation=0, |
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104 | wrap_text=True, |
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105 | shrink_to_fit=False, |
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106 | indent=0) |
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107 | c_c_alignment = Alignment(vertical='center', |
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108 | horizontal='center', |
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109 | text_rotation=0, |
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110 | wrap_text=True, |
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111 | shrink_to_fit=False, |
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112 | indent=0) |
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113 | b_r_alignment = Alignment(vertical='bottom', |
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114 | horizontal='right', |
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115 | text_rotation=0, |
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116 | wrap_text=True, |
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117 | shrink_to_fit=False, |
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118 | indent=0) |
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119 | c_r_alignment = Alignment(vertical='bottom', |
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120 | horizontal='center', |
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121 | text_rotation=0, |
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122 | wrap_text=True, |
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123 | shrink_to_fit=False, |
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124 | indent=0) |
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125 | # Img |
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126 | img = Image("excelexporters/myems.png") |
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127 | img.width = img.width * 0.85 |
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128 | img.height = img.height * 0.85 |
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129 | # img = Image("myems.png") |
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130 | ws.add_image(img, 'B1') |
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131 | |||
132 | # Title |
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133 | ws.row_dimensions[3].height = 60 |
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134 | |||
135 | ws['B3'].font = name_font |
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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'].font = name_font |
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141 | ws['C3'] = name |
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142 | |||
143 | ws['D3'].font = name_font |
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144 | ws['D3'].alignment = b_r_alignment |
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145 | ws['D3'] = 'Period:' |
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146 | ws['E3'].border = b_border |
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147 | ws['E3'].alignment = b_c_alignment |
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148 | ws['E3'].font = name_font |
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149 | ws['E3'] = period_type |
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150 | |||
151 | ws['F3'].font = name_font |
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152 | ws['F3'].alignment = b_r_alignment |
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153 | ws['F3'] = 'Date:' |
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154 | ws['G3'].border = b_border |
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155 | ws['G3'].alignment = b_c_alignment |
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156 | ws['G3'].font = name_font |
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157 | ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local |
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158 | ws.merge_cells("G3:H3") |
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159 | |||
160 | if "reporting_period" not in report.keys() or \ |
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161 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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162 | filename = str(uuid.uuid4()) + '.xlsx' |
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163 | wb.save(filename) |
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164 | |||
165 | return filename |
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166 | |||
167 | ################################## |
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168 | |||
169 | current_row_number = 6 |
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170 | |||
171 | reporting_period_data = report['reporting_period'] |
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172 | |||
173 | has_names_data_flag = True |
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174 | |||
175 | if "names" not in reporting_period_data.keys() or \ |
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176 | reporting_period_data['names'] is None or \ |
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177 | len(reporting_period_data['names']) == 0: |
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178 | has_names_data_flag = False |
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179 | |||
180 | if has_names_data_flag: |
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181 | ws['B' + str(current_row_number)].font = title_font |
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182 | ws['B' + str(current_row_number)] = name + ' 报告期消耗' |
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183 | |||
184 | current_row_number += 1 |
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185 | |||
186 | category = reporting_period_data['names'] |
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187 | ca_len = len(category) |
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188 | |||
189 | ws.row_dimensions[current_row_number].height = 60 |
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190 | ws['B' + str(current_row_number)].fill = table_fill |
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191 | ws['B' + str(current_row_number)].border = f_border |
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192 | |||
193 | col = 'C' |
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194 | |||
195 | for i in range(0, ca_len): |
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196 | ws[col + str(current_row_number)].fill = table_fill |
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197 | ws[col + str(current_row_number)].font = name_font |
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198 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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199 | ws[col + str(current_row_number)].border = f_border |
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200 | ws[col + str(current_row_number)] = \ |
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201 | reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \ |
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202 | " (" + reporting_period_data['units'][i] + ")" |
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203 | |||
204 | col = chr(ord(col) + 1) |
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205 | |||
206 | current_row_number += 1 |
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207 | |||
208 | ws['B' + str(current_row_number)].font = title_font |
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209 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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210 | ws['B' + str(current_row_number)].border = f_border |
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211 | ws['B' + str(current_row_number)] = '消耗' |
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212 | |||
213 | col = 'C' |
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214 | |||
215 | for i in range(0, ca_len): |
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216 | ws[col + str(current_row_number)].font = name_font |
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217 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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218 | ws[col + str(current_row_number)].border = f_border |
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219 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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220 | |||
221 | col = chr(ord(col) + 1) |
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222 | |||
223 | current_row_number += 1 |
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224 | |||
225 | ws['B' + str(current_row_number)].font = title_font |
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226 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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227 | ws['B' + str(current_row_number)].border = f_border |
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228 | ws['B' + str(current_row_number)] = '单位面积值' |
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229 | |||
230 | col = 'C' |
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231 | |||
232 | for i in range(0, ca_len): |
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233 | ws[col + str(current_row_number)].font = name_font |
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234 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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235 | ws[col + str(current_row_number)].border = f_border |
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236 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area'][i], 2) |
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237 | |||
238 | col = chr(ord(col) + 1) |
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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)] = '环比' |
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246 | |||
247 | col = 'C' |
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248 | |||
249 | for i in range(0, ca_len): |
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250 | ws[col + str(current_row_number)].font = name_font |
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251 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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252 | ws[col + str(current_row_number)].border = f_border |
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253 | ws[col + str(current_row_number)] = str( |
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254 | round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \ |
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255 | if reporting_period_data['increment_rates'][i] is not None else '-' |
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256 | |||
257 | col = chr(ord(col) + 1) |
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258 | |||
259 | current_row_number += 2 |
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260 | |||
261 | category_dict = group_by_category(reporting_period_data['energy_category_names']) |
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262 | |||
263 | for category_dict_name, category_dict_values in category_dict.items(): |
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264 | |||
265 | ws['B' + str(current_row_number)].font = title_font |
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266 | ws['B' + str(current_row_number)] = \ |
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267 | name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \ |
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268 | ') 分项消耗占比' |
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269 | |||
270 | current_row_number += 1 |
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271 | table_start_row_number = current_row_number |
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272 | |||
273 | ws['B' + str(current_row_number)].fill = table_fill |
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274 | ws['B' + str(current_row_number)].border = f_border |
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275 | |||
276 | ws['C' + str(current_row_number)].font = name_font |
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277 | ws['C' + str(current_row_number)].fill = table_fill |
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278 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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279 | ws['C' + str(current_row_number)].border = f_border |
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280 | ws['C' + str(current_row_number)] = '消耗' |
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281 | |||
282 | current_row_number += 1 |
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283 | |||
284 | for i in category_dict_values: |
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285 | ws['B' + str(current_row_number)].font = title_font |
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286 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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287 | ws['B' + str(current_row_number)].border = f_border |
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288 | ws['B' + str(current_row_number)] = \ |
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289 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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290 | ws['C' + str(current_row_number)].font = name_font |
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291 | ws['C' + str(current_row_number)].alignment = c_c_alignment |
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292 | ws['C' + str(current_row_number)].border = f_border |
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293 | ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 3) |
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294 | |||
295 | current_row_number += 1 |
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296 | |||
297 | table_end_row_number = current_row_number - 1 |
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298 | |||
299 | pie = PieChart() |
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300 | pie.title = \ |
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301 | name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \ |
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302 | ') 分项消耗占比' |
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303 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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304 | pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number) |
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305 | pie.add_data(pie_data, titles_from_data=True) |
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306 | pie.set_categories(labels) |
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307 | pie.height = 6.6 |
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308 | pie.width = 9 |
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309 | s1 = pie.series[0] |
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310 | s1.dLbls = DataLabelList() |
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311 | s1.dLbls.showCatName = False |
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312 | s1.dLbls.showVal = True |
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313 | s1.dLbls.showPercent = True |
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314 | ws.add_chart(pie, 'D' + str(table_start_row_number)) |
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315 | |||
316 | if len(category_dict_values) < 4: |
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317 | current_row_number = current_row_number - len(category_dict_values) + 4 |
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318 | |||
319 | current_row_number += 1 |
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320 | |||
321 | ####################### |
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322 | |||
323 | has_values_data = True |
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324 | has_timestamps_data = True |
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325 | |||
326 | if 'values' not in reporting_period_data.keys() or \ |
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327 | reporting_period_data['values'] is None or \ |
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328 | len(reporting_period_data['values']) == 0: |
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329 | has_values_data = False |
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330 | |||
331 | if 'timestamps' not in reporting_period_data.keys() or \ |
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332 | reporting_period_data['timestamps'] is None or \ |
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333 | len(reporting_period_data['timestamps']) == 0 or \ |
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334 | len(reporting_period_data['timestamps'][0]) == 0: |
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335 | has_timestamps_data = False |
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336 | |||
337 | if has_values_data and has_timestamps_data: |
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338 | ca_len = len(reporting_period_data['names']) |
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339 | time = reporting_period_data['timestamps'][0] |
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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)] = name + ' 详细数据' |
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343 | |||
344 | current_row_number += 1 |
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345 | |||
346 | chart_start_row_number = current_row_number |
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347 | |||
348 | current_row_number += ca_len * 6 |
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349 | table_start_row_number = current_row_number |
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350 | |||
351 | ws.row_dimensions[current_row_number].height = 60 |
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352 | ws['B' + str(current_row_number)].fill = table_fill |
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353 | ws['B' + str(current_row_number)].font = title_font |
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354 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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355 | ws['B' + str(current_row_number)].border = f_border |
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356 | ws['B' + str(current_row_number)] = '日期时间' |
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357 | |||
358 | col = 'C' |
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359 | |||
360 | for i in range(0, ca_len): |
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361 | ws[col + str(current_row_number)].fill = table_fill |
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362 | ws[col + str(current_row_number)].font = title_font |
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363 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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364 | ws[col + str(current_row_number)].border = f_border |
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365 | ws[col + str(current_row_number)] = \ |
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366 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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367 | col = chr(ord(col) + 1) |
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368 | |||
369 | current_row_number += 1 |
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370 | |||
371 | for i in range(0, len(time)): |
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372 | ws['B' + str(current_row_number)].font = title_font |
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373 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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374 | ws['B' + str(current_row_number)].border = f_border |
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375 | ws['B' + str(current_row_number)] = time[i] |
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376 | |||
377 | col = 'C' |
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378 | for j in range(0, ca_len): |
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379 | ws[col + str(current_row_number)].font = title_font |
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380 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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381 | ws[col + str(current_row_number)].border = f_border |
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382 | ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \ |
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383 | if reporting_period_data['values'][j][i] is not None else 0.00 |
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384 | col = chr(ord(col) + 1) |
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385 | |||
386 | current_row_number += 1 |
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387 | |||
388 | table_end_row_number = current_row_number - 1 |
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389 | |||
390 | ws['B' + str(current_row_number)].font = title_font |
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391 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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392 | ws['B' + str(current_row_number)].border = f_border |
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393 | ws['B' + str(current_row_number)] = '小计' |
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394 | |||
395 | col = 'C' |
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396 | |||
397 | for i in range(0, ca_len): |
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398 | ws[col + str(current_row_number)].font = title_font |
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399 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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400 | ws[col + str(current_row_number)].border = f_border |
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401 | ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2) |
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402 | col = chr(ord(col) + 1) |
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403 | |||
404 | current_row_number += 2 |
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405 | |||
406 | format_time_width_number = 1.0 |
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407 | min_len_number = 1.0 |
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408 | min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0 |
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409 | |||
410 | if period_type == 'hourly': |
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411 | format_time_width_number = 4.0 |
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412 | min_len_number = 2 |
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413 | min_width_number = 12.0 |
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414 | elif period_type == 'daily': |
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415 | format_time_width_number = 2.5 |
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416 | min_len_number = 4 |
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417 | min_width_number = 14.0 |
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418 | elif period_type == 'monthly': |
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419 | format_time_width_number = 2.1 |
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420 | min_len_number = 4 |
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421 | min_width_number = 12.4 |
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422 | elif period_type == 'yearly': |
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423 | format_time_width_number = 1.5 |
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424 | min_len_number = 5 |
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425 | min_width_number = 11.5 |
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426 | |||
427 | for i in range(0, ca_len): |
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428 | line = LineChart() |
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429 | line.title = '报告期消耗 - ' + \ |
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430 | reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")" |
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431 | labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number) |
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432 | line_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number) |
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433 | line.add_data(line_data, titles_from_data=True) |
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434 | line.set_categories(labels) |
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435 | line_data = line.series[0] |
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436 | line_data.marker.symbol = "circle" |
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437 | line_data.smooth = True |
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438 | line.x_axis.crosses = 'min' |
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439 | line.height = 8.25 |
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440 | line.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number |
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441 | if line.width > 24: |
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442 | line.width = 24 |
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443 | line.dLbls = DataLabelList() |
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444 | line.dLbls.dLblPos = 't' |
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445 | line.dLbls.showVal = True |
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446 | line.dLbls.showPercent = False |
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447 | chart_col = 'B' |
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448 | chart_cell = chart_col + str(chart_start_row_number) |
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449 | chart_start_row_number += 6 |
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450 | ws.add_chart(line, chart_cell) |
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451 | |||
452 | filename = str(uuid.uuid4()) + '.xlsx' |
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453 | wb.save(filename) |
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454 | |||
455 | return filename |
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456 | |||
465 |