MyEMS /
myems
| Total Complexity | 116 |
| Total Lines | 994 |
| Duplicated Lines | 5.63 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
Complex classes like excelexporters.storeload often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | import base64 |
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| 2 | import gettext |
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| 3 | import os |
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| 4 | import re |
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| 5 | import uuid |
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| 6 | |||
| 7 | import openpyxl.utils.cell as format_cell |
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| 8 | from openpyxl import Workbook |
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| 9 | from openpyxl.chart import LineChart, Reference |
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| 10 | from openpyxl.chart.label import DataLabelList |
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| 11 | from openpyxl.drawing.image import Image |
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| 12 | from openpyxl.styles import PatternFill, Border, Side, Alignment, Font |
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| 13 | |||
| 14 | |||
| 15 | ######################################################################################################################## |
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| 16 | # PROCEDURES |
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| 17 | # Step 1: Validate the report data |
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| 18 | # Step 2: Generate excel file |
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| 19 | # Step 3: Encode the excel file bytes to Base64 |
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| 20 | ######################################################################################################################## |
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| 21 | |||
| 22 | |||
| 23 | View Code Duplication | def export(report, |
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Duplication
introduced
by
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| 24 | name, |
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| 25 | base_period_start_datetime_local, |
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| 26 | base_period_end_datetime_local, |
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| 27 | reporting_start_datetime_local, |
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| 28 | reporting_end_datetime_local, |
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| 29 | period_type, |
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| 30 | language): |
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| 31 | #################################################################################################################### |
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| 32 | # Step 1: Validate the report data |
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| 33 | #################################################################################################################### |
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| 34 | if report is None: |
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| 35 | return None |
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| 36 | |||
| 37 | #################################################################################################################### |
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| 38 | # Step 2: Generate excel file from the report data |
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| 39 | #################################################################################################################### |
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| 40 | filename = generate_excel(report, |
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| 41 | name, |
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| 42 | base_period_start_datetime_local, |
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| 43 | base_period_end_datetime_local, |
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| 44 | reporting_start_datetime_local, |
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| 45 | reporting_end_datetime_local, |
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| 46 | period_type, |
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| 47 | language) |
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| 48 | #################################################################################################################### |
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| 49 | # Step 3: Encode the excel file to Base64 |
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| 50 | #################################################################################################################### |
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| 51 | binary_file_data = b'' |
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| 52 | try: |
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| 53 | with open(filename, 'rb') as binary_file: |
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| 54 | binary_file_data = binary_file.read() |
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| 55 | except IOError as ex: |
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| 56 | print(str(ex)) |
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| 57 | |||
| 58 | # Base64 encode the bytes |
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| 59 | base64_encoded_data = base64.b64encode(binary_file_data) |
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| 60 | # get the Base64 encoded data using human-readable characters. |
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| 61 | base64_message = base64_encoded_data.decode('utf-8') |
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| 62 | # delete the file from server |
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| 63 | try: |
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| 64 | os.remove(filename) |
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| 65 | except NotImplementedError as ex: |
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| 66 | print(str(ex)) |
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| 67 | return base64_message |
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| 68 | |||
| 69 | |||
| 70 | def generate_excel(report, |
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| 71 | name, |
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| 72 | base_period_start_datetime_local, |
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| 73 | base_period_end_datetime_local, |
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| 74 | reporting_start_datetime_local, |
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| 75 | reporting_end_datetime_local, |
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| 76 | period_type, |
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| 77 | language): |
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| 78 | |||
| 79 | locale_path = './i18n/' |
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| 80 | if language == 'zh_CN': |
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| 81 | trans = gettext.translation('myems', locale_path, languages=['zh_CN']) |
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| 82 | elif language == 'de': |
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| 83 | trans = gettext.translation('myems', locale_path, languages=['de']) |
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| 84 | elif language == 'en': |
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| 85 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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| 86 | else: |
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| 87 | trans = gettext.translation('myems', locale_path, languages=['en']) |
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| 88 | trans.install() |
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| 89 | _ = trans.gettext |
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| 90 | |||
| 91 | wb = Workbook() |
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| 92 | ws = wb.active |
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| 93 | ws.title = "StoreLoad" |
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| 94 | |||
| 95 | # Row height |
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| 96 | ws.row_dimensions[1].height = 102 |
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| 97 | |||
| 98 | for i in range(2, 2000 + 1): |
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| 99 | ws.row_dimensions[i].height = 42 |
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| 100 | |||
| 101 | # Col width |
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| 102 | ws.column_dimensions['A'].width = 1.5 |
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| 103 | ws.column_dimensions['B'].width = 25.0 |
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| 104 | |||
| 105 | for i in range(ord('C'), ord('Z')): |
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| 106 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 107 | |||
| 108 | # Font |
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| 109 | name_font = Font(name='Arial', size=15, bold=True) |
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| 110 | title_font = Font(name='Arial', size=15, bold=True) |
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| 111 | |||
| 112 | table_fill = PatternFill(fill_type='solid', fgColor='90ee90') |
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| 113 | f_border = Border(left=Side(border_style='medium'), |
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| 114 | right=Side(border_style='medium'), |
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| 115 | bottom=Side(border_style='medium'), |
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| 116 | top=Side(border_style='medium') |
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| 117 | ) |
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| 118 | b_border = Border( |
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| 119 | bottom=Side(border_style='medium'), |
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| 120 | ) |
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| 121 | |||
| 122 | b_c_alignment = Alignment(vertical='bottom', |
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| 123 | horizontal='center', |
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| 124 | text_rotation=0, |
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| 125 | wrap_text=True, |
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| 126 | shrink_to_fit=False, |
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| 127 | indent=0) |
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| 128 | c_c_alignment = Alignment(vertical='center', |
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| 129 | horizontal='center', |
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| 130 | text_rotation=0, |
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| 131 | wrap_text=True, |
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| 132 | shrink_to_fit=False, |
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| 133 | indent=0) |
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| 134 | b_r_alignment = Alignment(vertical='bottom', |
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| 135 | horizontal='right', |
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| 136 | text_rotation=0, |
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| 137 | wrap_text=True, |
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| 138 | shrink_to_fit=False, |
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| 139 | indent=0) |
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| 140 | |||
| 141 | # Img |
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| 142 | img = Image("excelexporters/myems.png") |
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| 143 | ws.add_image(img, 'A1') |
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| 144 | |||
| 145 | # Title |
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| 146 | ws['B3'].alignment = b_r_alignment |
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| 147 | ws['B3'] = _('Name') + ':' |
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| 148 | ws['C3'].border = b_border |
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| 149 | ws['C3'].alignment = b_c_alignment |
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| 150 | ws['C3'] = name |
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| 151 | |||
| 152 | ws['D3'].alignment = b_r_alignment |
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| 153 | ws['D3'] = _('Period Type') + ':' |
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| 154 | ws['E3'].border = b_border |
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| 155 | ws['E3'].alignment = b_c_alignment |
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| 156 | ws['E3'] = period_type |
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| 157 | |||
| 158 | ws['B4'].alignment = b_r_alignment |
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| 159 | ws['B4'] = _('Reporting Start Datetime') + ':' |
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| 160 | ws['C4'].border = b_border |
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| 161 | ws['C4'].alignment = b_c_alignment |
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| 162 | ws['C4'] = reporting_start_datetime_local |
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| 163 | |||
| 164 | ws['D4'].alignment = b_r_alignment |
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| 165 | ws['D4'] = _('Reporting End Datetime') + ':' |
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| 166 | ws['E4'].border = b_border |
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| 167 | ws['E4'].alignment = b_c_alignment |
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| 168 | ws['E4'] = reporting_end_datetime_local |
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| 169 | |||
| 170 | is_base_period_timestamp_exists_flag = is_base_period_timestamp_exists(report['base_period']) |
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| 171 | |||
| 172 | if is_base_period_timestamp_exists_flag: |
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| 173 | ws['B5'].alignment = b_r_alignment |
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| 174 | ws['B5'] = _('Base Period Start Datetime') + ':' |
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| 175 | ws['C5'].border = b_border |
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| 176 | ws['C5'].alignment = b_c_alignment |
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| 177 | ws['C5'] = base_period_start_datetime_local |
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| 178 | |||
| 179 | ws['D5'].alignment = b_r_alignment |
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| 180 | ws['D5'] = _('Base Period End Datetime') + ':' |
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| 181 | ws['E5'].border = b_border |
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| 182 | ws['E5'].alignment = b_c_alignment |
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| 183 | ws['E5'] = base_period_end_datetime_local |
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| 184 | |||
| 185 | if "reporting_period" not in report.keys() or \ |
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| 186 | "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 187 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 188 | wb.save(filename) |
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| 189 | |||
| 190 | return filename |
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| 191 | #################################################################################################################### |
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| 192 | # First: Statistics |
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| 193 | # 7: title |
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| 194 | # 8: table title |
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| 195 | # 9~ca_len table_data |
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| 196 | #################################################################################################################### |
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| 197 | reporting_period_data = report['reporting_period'] |
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| 198 | |||
| 199 | if "names" not in reporting_period_data.keys() or \ |
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| 200 | reporting_period_data['names'] is None or \ |
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| 201 | len(reporting_period_data['names']) == 0: |
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| 202 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 203 | wb.save(filename) |
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| 204 | return filename |
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| 205 | |||
| 206 | ws['B7'].font = title_font |
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| 207 | ws['B7'] = name + ' ' + _('Statistics') |
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| 208 | |||
| 209 | category = reporting_period_data['names'] |
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| 210 | |||
| 211 | # table_title |
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| 212 | ws['B8'].fill = table_fill |
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| 213 | ws['B8'].font = title_font |
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| 214 | ws['B8'].alignment = c_c_alignment |
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| 215 | ws['B8'] = _('Reporting Period') |
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| 216 | ws['B8'].border = f_border |
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| 217 | |||
| 218 | ws['C8'].font = title_font |
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| 219 | ws['C8'].alignment = c_c_alignment |
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| 220 | ws['C8'] = _('Average Load') |
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| 221 | ws['C8'].border = f_border |
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| 222 | |||
| 223 | ws['D8'].font = title_font |
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| 224 | ws['D8'].alignment = c_c_alignment |
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| 225 | ws['D8'] = _('Maximum Load') |
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| 226 | ws['D8'].border = f_border |
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| 227 | |||
| 228 | ws['E8'].font = title_font |
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| 229 | ws['E8'].alignment = c_c_alignment |
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| 230 | ws['E8'] = _('Load Factor') |
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| 231 | ws['E8'].border = f_border |
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| 232 | |||
| 233 | # table_data |
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| 234 | |||
| 235 | for i, value in enumerate(category): |
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| 236 | row = i * 2 + 9 |
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| 237 | ws['B' + str(row)].font = name_font |
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| 238 | ws['B' + str(row)].alignment = c_c_alignment |
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| 239 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + "/H )" |
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| 240 | ws['B' + str(row)].border = f_border |
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| 241 | |||
| 242 | ws['B' + str(row + 1)].font = name_font |
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| 243 | ws['B' + str(row + 1)].alignment = c_c_alignment |
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| 244 | ws['B' + str(row + 1)] = _('Increment Rate') |
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| 245 | ws['B' + str(row + 1)].border = f_border |
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| 246 | |||
| 247 | ws['C' + str(row)].font = name_font |
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| 248 | ws['C' + str(row)].alignment = c_c_alignment |
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| 249 | ws['C' + str(row)] = round(reporting_period_data['averages'][i], 2) \ |
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| 250 | if reporting_period_data['averages'][i] is not None else '' |
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| 251 | ws['C' + str(row)].border = f_border |
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| 252 | ws['C' + str(row)].number_format = '0.00' |
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| 253 | |||
| 254 | ws['C' + str(row + 1)].font = name_font |
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| 255 | ws['C' + str(row + 1)].alignment = c_c_alignment |
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| 256 | ws['C' + str(row + 1)] = str(round(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \ |
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| 257 | if reporting_period_data['averages_increment_rate'][i] is not None else '0.00%' |
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| 258 | ws['C' + str(row + 1)].border = f_border |
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| 259 | |||
| 260 | ws['D' + str(row)].font = name_font |
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| 261 | ws['D' + str(row)].alignment = c_c_alignment |
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| 262 | ws['D' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 263 | if reporting_period_data['maximums'][i] is not None else '' |
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| 264 | ws['D' + str(row)].border = f_border |
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| 265 | ws['D' + str(row)].number_format = '0.00' |
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| 266 | |||
| 267 | ws['D' + str(row + 1)].font = name_font |
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| 268 | ws['D' + str(row + 1)].alignment = c_c_alignment |
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| 269 | ws['D' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 270 | if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' |
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| 271 | ws['D' + str(row + 1)].border = f_border |
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| 272 | |||
| 273 | ws['E' + str(row)].font = name_font |
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| 274 | ws['E' + str(row)].alignment = c_c_alignment |
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| 275 | ws['E' + str(row)] = round(reporting_period_data['factors'][i], 2) \ |
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| 276 | if reporting_period_data['factors'][i] is not None else '' |
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| 277 | ws['E' + str(row)].border = f_border |
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| 278 | ws['E' + str(row)].number_format = '0.00' |
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| 279 | |||
| 280 | ws['E' + str(row + 1)].font = name_font |
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| 281 | ws['E' + str(row + 1)].alignment = c_c_alignment |
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| 282 | ws['E' + str(row + 1)] = str(round(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \ |
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| 283 | if reporting_period_data['factors_increment_rate'][i] is not None else '0.00%' |
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| 284 | ws['E' + str(row + 1)].border = f_border |
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| 285 | |||
| 286 | #################################################################################################################### |
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| 287 | # Second: Per Unit Area |
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| 288 | # 10 + ca_len * 2: title |
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| 289 | # 11 + ca_len * 2: table title |
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| 290 | # per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data |
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| 291 | #################################################################################################################### |
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| 292 | |||
| 293 | names = reporting_period_data['names'] |
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| 294 | ca_len = len(names) |
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| 295 | per_unit_area_start_row_number = 10 + ca_len * 2 |
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| 296 | |||
| 297 | ws['B' + str(per_unit_area_start_row_number)].font = title_font |
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| 298 | ws['B' + str(per_unit_area_start_row_number)] = name + ' ' \ |
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| 299 | + _('Per Unit Area') + str(report['store']['area']) + 'M²' |
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| 300 | |||
| 301 | category = reporting_period_data['names'] |
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| 302 | |||
| 303 | # table_title |
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| 304 | ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill |
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| 305 | ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 306 | ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 307 | ws['B' + str(per_unit_area_start_row_number + 1)] = _('Reporting Period') |
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| 308 | ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 309 | |||
| 310 | ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 311 | ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 312 | ws['C' + str(per_unit_area_start_row_number + 1)] = _('Average Load') |
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| 313 | ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 314 | |||
| 315 | ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font |
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| 316 | ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment |
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| 317 | ws['D' + str(per_unit_area_start_row_number + 1)] = _('Maximum Load') |
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| 318 | ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border |
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| 319 | |||
| 320 | # table_data |
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| 321 | |||
| 322 | for i, value in enumerate(category): |
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| 323 | row_data = per_unit_area_start_row_number + 2 + i |
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| 324 | ws['B' + str(row_data)].font = name_font |
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| 325 | ws['B' + str(row_data)].alignment = c_c_alignment |
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| 326 | ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ |
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| 327 | i] + "/H/M²)" |
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| 328 | ws['B' + str(row_data)].border = f_border |
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| 329 | |||
| 330 | ws['C' + str(row_data)].font = name_font |
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| 331 | ws['C' + str(row_data)].alignment = c_c_alignment |
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| 332 | if reporting_period_data['averages_per_unit_area'][i] \ |
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| 333 | or reporting_period_data['averages_per_unit_area'][i] == 0: |
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| 334 | ws['C' + str(row_data)] = round(reporting_period_data['averages_per_unit_area'][i], 2) |
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| 335 | ws['C' + str(row_data)].border = f_border |
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| 336 | ws['C' + str(row_data)].number_format = '0.00' |
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| 337 | |||
| 338 | ws['D' + str(row_data)].font = name_font |
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| 339 | ws['D' + str(row_data)].alignment = c_c_alignment |
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| 340 | if reporting_period_data['maximums_per_unit_area'][i] \ |
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| 341 | or reporting_period_data['maximums_per_unit_area'][i] == 0: |
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| 342 | ws['D' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) |
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| 343 | ws['D' + str(row_data)].border = f_border |
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| 344 | ws['D' + str(row_data)].number_format = '0.00' |
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| 345 | |||
| 346 | #################################################################################################################### |
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| 347 | # Third: Detailed Data |
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| 348 | # current_row_number~ current_row_number + 1 + real_timestamps_len * 6 + 1 + 2 + ca_len * 6 + ca_len * 6: line |
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| 349 | # current_row_number: table title |
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| 350 | # current_row_number + 1~: table_data |
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| 351 | #################################################################################################################### |
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| 352 | current_row_number = per_unit_area_start_row_number + 2 + len(category) + 1 |
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| 353 | |||
| 354 | has_sub_averages_data_flag = True |
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| 355 | has_sub_maximums_data_flag = True |
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| 356 | |||
| 357 | if "sub_averages" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_averages']) == 0: |
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| 358 | has_sub_averages_data_flag = False |
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| 359 | |||
| 360 | if "sub_maximums" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_maximums']) == 0: |
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| 361 | has_sub_maximums_data_flag = False |
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| 362 | |||
| 363 | current_chart_row_number = current_row_number |
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| 364 | |||
| 365 | if has_sub_averages_data_flag or has_sub_maximums_data_flag: |
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| 366 | if not is_base_period_timestamp_exists_flag: |
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| 367 | reporting_period_data = report['reporting_period'] |
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| 368 | category = reporting_period_data['names'] |
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| 369 | ca_len = len(category) |
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| 370 | times = reporting_period_data['timestamps'] |
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| 371 | time = times[0] |
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| 372 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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| 373 | ws['B' + str(current_row_number)].font = title_font |
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| 374 | ws['B' + str(current_row_number)] = name + _('Detailed Data') |
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| 375 | |||
| 376 | current_row_number += 1 |
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| 377 | chart_start_number = current_row_number |
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| 378 | # 1: Stand for blank line 2: Stand for title |
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| 379 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
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| 380 | if has_sub_averages_data_flag: |
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| 381 | current_row_number = (current_row_number + ca_len * 6) |
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| 382 | |||
| 383 | if has_sub_maximums_data_flag: |
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| 384 | current_row_number = (current_row_number + ca_len * 6) |
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| 385 | |||
| 386 | table_start_number = current_row_number |
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| 387 | |||
| 388 | ws.row_dimensions[current_row_number].height = 60 |
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| 389 | current_col_number = 2 |
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| 390 | col = format_cell.get_column_letter(current_col_number) |
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| 391 | ws[col + str(current_row_number)].fill = table_fill |
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| 392 | ws[col + str(current_row_number)].font = title_font |
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| 393 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 394 | ws[col + str(current_row_number)].border = f_border |
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| 395 | ws[col + str(current_row_number)] = _('Datetime') |
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| 396 | |||
| 397 | current_col_number = 3 |
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| 398 | col = format_cell.get_column_letter(current_col_number) |
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| 399 | |||
| 400 | for i in range(0, ca_len): |
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| 401 | if has_sub_averages_data_flag: |
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| 402 | ws[col + str(current_row_number)].fill = table_fill |
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| 403 | ws[col + str(current_row_number)].font = title_font |
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| 404 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 405 | ws[col + str(current_row_number)].border = f_border |
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| 406 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
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| 407 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 408 | |||
| 409 | current_col_number += 1 |
||
| 410 | col = format_cell.get_column_letter(current_col_number) |
||
| 411 | |||
| 412 | if has_sub_maximums_data_flag: |
||
| 413 | ws[col + str(current_row_number)].fill = table_fill |
||
| 414 | ws[col + str(current_row_number)].font = title_font |
||
| 415 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 416 | ws[col + str(current_row_number)].border = f_border |
||
| 417 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
||
| 418 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 419 | |||
| 420 | current_col_number += 1 |
||
| 421 | col = format_cell.get_column_letter(current_col_number) |
||
| 422 | |||
| 423 | current_row_number += 1 |
||
| 424 | |||
| 425 | for i in range(0, len(time)): |
||
| 426 | current_col_number = 2 |
||
| 427 | col = format_cell.get_column_letter(current_col_number) |
||
| 428 | ws[col + str(current_row_number)].font = title_font |
||
| 429 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 430 | ws[col + str(current_row_number)].border = f_border |
||
| 431 | ws[col + str(current_row_number)] = time[i] |
||
| 432 | |||
| 433 | current_col_number = 3 |
||
| 434 | col = format_cell.get_column_letter(current_col_number) |
||
| 435 | for j in range(0, ca_len): |
||
| 436 | |||
| 437 | if has_sub_averages_data_flag: |
||
| 438 | ws[col + str(current_row_number)].font = title_font |
||
| 439 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 440 | ws[col + str(current_row_number)].border = f_border |
||
| 441 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_averages'][j][i], 2) \ |
||
| 442 | if reporting_period_data['sub_averages'][j][i] is not None else None |
||
| 443 | current_col_number += 1 |
||
| 444 | col = format_cell.get_column_letter(current_col_number) |
||
| 445 | |||
| 446 | if has_sub_maximums_data_flag: |
||
| 447 | ws[col + str(current_row_number)].font = title_font |
||
| 448 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 449 | ws[col + str(current_row_number)].border = f_border |
||
| 450 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
| 451 | if reporting_period_data['sub_maximums'][j][i] is not None else None |
||
| 452 | current_col_number += 1 |
||
| 453 | col = format_cell.get_column_letter(current_col_number) |
||
| 454 | |||
| 455 | current_row_number += 1 |
||
| 456 | |||
| 457 | table_end_number = current_row_number - 1 |
||
| 458 | |||
| 459 | current_chart_col_number = 3 |
||
| 460 | current_chart_row_number = chart_start_number |
||
| 461 | |||
| 462 | for i in range(0, ca_len): |
||
| 463 | labels = Reference(ws, min_col=2, min_row=table_start_number + 1, max_row=table_end_number) |
||
| 464 | |||
| 465 | if has_sub_averages_data_flag: |
||
| 466 | line = LineChart() |
||
| 467 | line.title = _('Reporting Period Average Load') + ' - ' \ |
||
| 468 | + reporting_period_data['names'][i] + \ |
||
| 469 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 470 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
| 471 | max_row=table_end_number) |
||
| 472 | line.add_data(datas, titles_from_data=True) |
||
| 473 | line.set_categories(labels) |
||
| 474 | line_data = line.series[0] |
||
| 475 | line_data.marker.symbol = "circle" |
||
| 476 | line_data.smooth = True |
||
| 477 | line.x_axis.crosses = 'min' |
||
| 478 | line.height = 8.25 |
||
| 479 | line.width = 24 |
||
| 480 | line.dLbls = DataLabelList() |
||
| 481 | line.dLbls.dLblPos = 't' |
||
| 482 | line.dLbls.showVal = True |
||
| 483 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
| 484 | current_chart_row_number += 6 |
||
| 485 | current_chart_col_number += 1 |
||
| 486 | |||
| 487 | if has_sub_maximums_data_flag: |
||
| 488 | line = LineChart() |
||
| 489 | line.title = _('Reporting Period Maximum Load') + ' - ' \ |
||
| 490 | + reporting_period_data['names'][i] + \ |
||
| 491 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 492 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
| 493 | max_row=table_end_number) |
||
| 494 | line.add_data(datas, titles_from_data=True) |
||
| 495 | line.set_categories(labels) |
||
| 496 | line_data = line.series[0] |
||
| 497 | line_data.marker.symbol = "circle" |
||
| 498 | line_data.smooth = True |
||
| 499 | line.x_axis.crosses = 'min' |
||
| 500 | line.height = 8.25 |
||
| 501 | line.width = 24 |
||
| 502 | line.dLbls = DataLabelList() |
||
| 503 | line.dLbls.dLblPos = 't' |
||
| 504 | line.dLbls.showVal = True |
||
| 505 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
| 506 | current_chart_row_number += 6 |
||
| 507 | current_chart_col_number += 1 |
||
| 508 | else: |
||
| 509 | base_period_data = report['base_period'] |
||
| 510 | reporting_period_data = report['reporting_period'] |
||
| 511 | base_period_timestamps = base_period_data['timestamps'] |
||
| 512 | reporting_period_timestamps = reporting_period_data['timestamps'] |
||
| 513 | # Tip: |
||
| 514 | # base_period_data['names'] == reporting_period_data['names'] |
||
| 515 | # base_period_data['units'] == reporting_period_data['units'] |
||
| 516 | base_period_data_ca_len = len(base_period_data['names']) |
||
| 517 | reporting_period_data_ca_len = len(reporting_period_data['names']) |
||
| 518 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
||
| 519 | ws['B' + str(current_row_number)].font = title_font |
||
| 520 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
||
| 521 | |||
| 522 | current_row_number += 1 |
||
| 523 | chart_start_number = current_row_number |
||
| 524 | |||
| 525 | # 1: Stand for blank line 2: Stand for title |
||
| 526 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
||
| 527 | |||
| 528 | if has_sub_averages_data_flag: |
||
| 529 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
| 530 | |||
| 531 | if has_sub_maximums_data_flag: |
||
| 532 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
| 533 | |||
| 534 | table_start_row_number = current_row_number |
||
| 535 | |||
| 536 | has_data = False |
||
| 537 | |||
| 538 | if len(base_period_timestamps[0]) or len(reporting_period_timestamps[0]) > 0: |
||
| 539 | has_data = True |
||
| 540 | |||
| 541 | if has_data: |
||
| 542 | ws.row_dimensions[current_row_number].height = 60 |
||
| 543 | current_col_number = 2 |
||
| 544 | col = format_cell.get_column_letter(current_col_number) |
||
| 545 | ws[col + str(current_row_number)].fill = table_fill |
||
| 546 | ws[col + str(current_row_number)].font = title_font |
||
| 547 | ws[col + str(current_row_number)].border = f_border |
||
| 548 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 549 | ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime') |
||
| 550 | |||
| 551 | for i in range(0, base_period_data_ca_len): |
||
| 552 | if has_sub_averages_data_flag: |
||
| 553 | current_col_number += 1 |
||
| 554 | col = format_cell.get_column_letter(current_col_number) |
||
| 555 | |||
| 556 | ws[col + str(current_row_number)].fill = table_fill |
||
| 557 | ws[col + str(current_row_number)].font = title_font |
||
| 558 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 559 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
| 560 | + base_period_data['names'][i] + \ |
||
| 561 | " " + _('Average Load') + "(" + base_period_data['units'][i] + "/H)" |
||
| 562 | ws[col + str(current_row_number)].border = f_border |
||
| 563 | |||
| 564 | if has_sub_maximums_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 | " " + _('Maximum Load') + "(" + base_period_data['units'][i] + "/H)" |
||
| 574 | ws[col + str(current_row_number)].border = f_border |
||
| 575 | |||
| 576 | current_col_number += 1 |
||
| 577 | col = format_cell.get_column_letter(current_col_number) |
||
| 578 | |||
| 579 | ws[col + str(current_row_number)].fill = table_fill |
||
| 580 | ws[col + str(current_row_number)].font = title_font |
||
| 581 | ws[col + str(current_row_number)].border = f_border |
||
| 582 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 583 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime') |
||
| 584 | |||
| 585 | for i in range(0, reporting_period_data_ca_len): |
||
| 586 | if has_sub_averages_data_flag: |
||
| 587 | current_col_number += 1 |
||
| 588 | col = format_cell.get_column_letter(current_col_number) |
||
| 589 | ws[col + str(current_row_number)].fill = table_fill |
||
| 590 | ws[col + str(current_row_number)].font = title_font |
||
| 591 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 592 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
| 593 | + reporting_period_data['names'][i] + \ |
||
| 594 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 595 | ws[col + str(current_row_number)].border = f_border |
||
| 596 | |||
| 597 | if has_sub_maximums_data_flag: |
||
| 598 | current_col_number += 1 |
||
| 599 | col = format_cell.get_column_letter(current_col_number) |
||
| 600 | ws[col + str(current_row_number)].fill = table_fill |
||
| 601 | ws[col + str(current_row_number)].font = title_font |
||
| 602 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 603 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
| 604 | + reporting_period_data['names'][i] + \ |
||
| 605 | " " + _('Maximum Load') + "(" + \ |
||
| 606 | reporting_period_data['units'][i] + "/H)" |
||
| 607 | ws[col + str(current_row_number)].border = f_border |
||
| 608 | |||
| 609 | current_row_number += 1 |
||
| 610 | |||
| 611 | max_timestamps_len = len(base_period_timestamps[0]) \ |
||
| 612 | if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \ |
||
| 613 | else len(reporting_period_timestamps[0]) |
||
| 614 | |||
| 615 | for i in range(0, max_timestamps_len): |
||
| 616 | current_col_number = 2 |
||
| 617 | col = format_cell.get_column_letter(current_col_number) |
||
| 618 | ws[col + str(current_row_number)].font = title_font |
||
| 619 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 620 | ws[col + str(current_row_number)] = base_period_timestamps[0][i] \ |
||
| 621 | if i < len(base_period_timestamps[0]) else None |
||
| 622 | ws[col + str(current_row_number)].border = f_border |
||
| 623 | |||
| 624 | for j in range(0, base_period_data_ca_len): |
||
| 625 | if has_sub_averages_data_flag: |
||
| 626 | current_col_number += 1 |
||
| 627 | col = format_cell.get_column_letter(current_col_number) |
||
| 628 | |||
| 629 | ws[col + str(current_row_number)].font = title_font |
||
| 630 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 631 | ws[col + str(current_row_number)] = round(base_period_data['sub_averages'][j][i], 2) \ |
||
| 632 | if i < len(base_period_data['sub_averages'][j]) \ |
||
| 633 | and base_period_data['sub_averages'][j][i] is not None else None |
||
| 634 | ws[col + str(current_row_number)].border = f_border |
||
| 635 | |||
| 636 | if has_sub_maximums_data_flag: |
||
| 637 | current_col_number += 1 |
||
| 638 | col = format_cell.get_column_letter(current_col_number) |
||
| 639 | |||
| 640 | ws[col + str(current_row_number)].font = title_font |
||
| 641 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 642 | ws[col + str(current_row_number)] = round(base_period_data['sub_maximums'][j][i], 2) \ |
||
| 643 | if i < len(base_period_data['sub_maximums'][j]) \ |
||
| 644 | and base_period_data['sub_averages'][j][i] is not None else None |
||
| 645 | ws[col + str(current_row_number)].border = f_border |
||
| 646 | |||
| 647 | current_col_number += 1 |
||
| 648 | col = format_cell.get_column_letter(current_col_number) |
||
| 649 | |||
| 650 | ws[col + str(current_row_number)].font = title_font |
||
| 651 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 652 | ws[col + str(current_row_number)] = reporting_period_timestamps[0][i] \ |
||
| 653 | if i < len(reporting_period_timestamps[0]) else None |
||
| 654 | ws[col + str(current_row_number)].border = f_border |
||
| 655 | |||
| 656 | for j in range(0, reporting_period_data_ca_len): |
||
| 657 | if has_sub_averages_data_flag: |
||
| 658 | current_col_number += 1 |
||
| 659 | col = format_cell.get_column_letter(current_col_number) |
||
| 660 | |||
| 661 | ws[col + str(current_row_number)].font = title_font |
||
| 662 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 663 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_averages'][j][i], 2) \ |
||
| 664 | if i < len(reporting_period_data['sub_averages'][j]) \ |
||
| 665 | and reporting_period_data['sub_averages'][j][i] is not None else None |
||
| 666 | ws[col + str(current_row_number)].border = f_border |
||
| 667 | |||
| 668 | if has_sub_maximums_data_flag: |
||
| 669 | current_col_number += 1 |
||
| 670 | col = format_cell.get_column_letter(current_col_number) |
||
| 671 | |||
| 672 | ws[col + str(current_row_number)].font = title_font |
||
| 673 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 674 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
| 675 | if i < len(reporting_period_data['sub_maximums'][j]) \ |
||
| 676 | and reporting_period_data['sub_maximums'][j][i] is not None else None |
||
| 677 | ws[col + str(current_row_number)].border = f_border |
||
| 678 | |||
| 679 | current_row_number += 1 |
||
| 680 | |||
| 681 | current_chart_col_number = 3 |
||
| 682 | current_chart_row_number = chart_start_number |
||
| 683 | |||
| 684 | for i in range(0, reporting_period_data_ca_len): |
||
| 685 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 2 + 1, |
||
| 686 | min_row=table_start_row_number + 1, |
||
| 687 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
| 688 | |||
| 689 | if has_sub_averages_data_flag: |
||
| 690 | # line |
||
| 691 | line = LineChart() |
||
| 692 | line.title = _('Base Period Average Load') + ' / ' \ |
||
| 693 | + _('Reporting Period Average Load') + ' - ' \ |
||
| 694 | + reporting_period_data['names'][i] + \ |
||
| 695 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 696 | base_line_data = Reference(ws, |
||
| 697 | min_col=current_chart_col_number, |
||
| 698 | min_row=table_start_row_number, |
||
| 699 | max_row=table_start_row_number |
||
| 700 | + len(reporting_period_timestamps[0])) |
||
| 701 | |||
| 702 | data_distance = base_period_data_ca_len |
||
| 703 | if has_sub_maximums_data_flag: |
||
| 704 | data_distance *= 2 |
||
| 705 | |||
| 706 | reporting_line_data = Reference(ws, |
||
| 707 | min_col=current_chart_col_number + data_distance + 1, |
||
| 708 | min_row=table_start_row_number, |
||
| 709 | max_row=table_start_row_number |
||
| 710 | + len(reporting_period_timestamps[0])) |
||
| 711 | line.add_data(base_line_data, titles_from_data=True) |
||
| 712 | line.add_data(reporting_line_data, titles_from_data=True) |
||
| 713 | line.set_categories(labels) |
||
| 714 | for j in range(len(line.series)): |
||
| 715 | line.series[j].marker.symbol = "circle" |
||
| 716 | line.series[j].smooth = True |
||
| 717 | line.x_axis.crosses = 'min' |
||
| 718 | line.height = 8.25 |
||
| 719 | line.width = 24 |
||
| 720 | line.dLbls = DataLabelList() |
||
| 721 | line.dLbls.dLblPos = 't' |
||
| 722 | line.dLbls.showVal = True |
||
| 723 | line.dLbls.showPercent = False |
||
| 724 | chart_col = 'B' |
||
| 725 | chart_cell = chart_col + str(current_chart_row_number) |
||
| 726 | ws.add_chart(line, chart_cell) |
||
| 727 | current_chart_row_number += 6 |
||
| 728 | current_chart_col_number += 1 |
||
| 729 | |||
| 730 | if has_sub_maximums_data_flag: |
||
| 731 | # line |
||
| 732 | line = LineChart() |
||
| 733 | line.title = _('Base Period Maximum Load') + ' / ' \ |
||
| 734 | + _('Reporting Period Maximum Load') + ' - ' \ |
||
| 735 | + reporting_period_data['names'][i] + \ |
||
| 736 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 737 | base_line_data = Reference(ws, |
||
| 738 | min_col=current_chart_col_number, |
||
| 739 | min_row=table_start_row_number, |
||
| 740 | max_row=table_start_row_number |
||
| 741 | + len(reporting_period_timestamps[0])) |
||
| 742 | |||
| 743 | data_distance = base_period_data_ca_len |
||
| 744 | if has_sub_averages_data_flag: |
||
| 745 | data_distance *= 2 |
||
| 746 | |||
| 747 | reporting_line_data = Reference(ws, |
||
| 748 | min_col=current_chart_col_number + data_distance + 1, |
||
| 749 | min_row=table_start_row_number, |
||
| 750 | max_row=table_start_row_number |
||
| 751 | + len(reporting_period_timestamps[0])) |
||
| 752 | line.add_data(base_line_data, titles_from_data=True) |
||
| 753 | line.add_data(reporting_line_data, titles_from_data=True) |
||
| 754 | line.set_categories(labels) |
||
| 755 | for j in range(len(line.series)): |
||
| 756 | line.series[j].marker.symbol = "circle" |
||
| 757 | line.series[j].smooth = True |
||
| 758 | line.x_axis.crosses = 'min' |
||
| 759 | line.height = 8.25 |
||
| 760 | line.width = 24 |
||
| 761 | line.dLbls = DataLabelList() |
||
| 762 | line.dLbls.dLblPos = 't' |
||
| 763 | line.dLbls.showVal = True |
||
| 764 | line.dLbls.showPercent = False |
||
| 765 | chart_col = 'B' |
||
| 766 | chart_cell = chart_col + str(current_chart_row_number) |
||
| 767 | ws.add_chart(line, chart_cell) |
||
| 768 | current_chart_row_number += 6 |
||
| 769 | current_chart_col_number += 1 |
||
| 770 | |||
| 771 | current_row_number += 2 |
||
| 772 | |||
| 773 | #################################################################################################################### |
||
| 774 | current_sheet_parameters_row_number = current_chart_row_number + 1 |
||
| 775 | if 'parameters' not in report.keys() or \ |
||
| 776 | report['parameters'] is None or \ |
||
| 777 | 'names' not in report['parameters'].keys() or \ |
||
| 778 | report['parameters']['names'] is None or \ |
||
| 779 | len(report['parameters']['names']) == 0 or \ |
||
| 780 | 'timestamps' not in report['parameters'].keys() or \ |
||
| 781 | report['parameters']['timestamps'] is None or \ |
||
| 782 | len(report['parameters']['timestamps']) == 0 or \ |
||
| 783 | 'values' not in report['parameters'].keys() or \ |
||
| 784 | report['parameters']['values'] is None or \ |
||
| 785 | len(report['parameters']['values']) == 0 or \ |
||
| 786 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
| 787 | pass |
||
| 788 | else: |
||
| 789 | ################################################################################################################ |
||
| 790 | # new worksheet |
||
| 791 | ################################################################################################################ |
||
| 792 | parameters_data = report['parameters'] |
||
| 793 | |||
| 794 | parameters_names_len = len(parameters_data['names']) |
||
| 795 | |||
| 796 | file_name = "Store"+re.sub(r'[^A-Z]', '', ws.title.strip('S')) + "_" |
||
| 797 | parameters_ws = wb.create_sheet(file_name + _('Parameters')) |
||
| 798 | |||
| 799 | parameters_timestamps_data_max_len = \ |
||
| 800 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
| 801 | |||
| 802 | # Row height |
||
| 803 | parameters_ws.row_dimensions[1].height = 102 |
||
| 804 | for i in range(2, 7 + 1): |
||
| 805 | parameters_ws.row_dimensions[i].height = 42 |
||
| 806 | |||
| 807 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
| 808 | parameters_ws.row_dimensions[i].height = 60 |
||
| 809 | |||
| 810 | # Col width |
||
| 811 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
| 812 | |||
| 813 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
| 814 | |||
| 815 | for i in range(3, 12 + parameters_names_len * 3): |
||
| 816 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
| 817 | |||
| 818 | # Img |
||
| 819 | img = Image("excelexporters/myems.png") |
||
| 820 | img.width = img.width * 0.85 |
||
| 821 | img.height = img.height * 0.85 |
||
| 822 | parameters_ws.add_image(img, 'B1') |
||
| 823 | |||
| 824 | # Title |
||
| 825 | parameters_ws['B3'].alignment = b_r_alignment |
||
| 826 | parameters_ws['B3'] = _('Name') + ':' |
||
| 827 | parameters_ws['C3'].border = b_border |
||
| 828 | parameters_ws['C3'].alignment = b_c_alignment |
||
| 829 | parameters_ws['C3'] = name |
||
| 830 | |||
| 831 | parameters_ws['D3'].alignment = b_r_alignment |
||
| 832 | parameters_ws['D3'] = _('Period Type') + ':' |
||
| 833 | parameters_ws['E3'].border = b_border |
||
| 834 | parameters_ws['E3'].alignment = b_c_alignment |
||
| 835 | parameters_ws['E3'] = period_type |
||
| 836 | |||
| 837 | parameters_ws['B4'].alignment = b_r_alignment |
||
| 838 | parameters_ws['B4'] = _('Reporting Start Datetime') + ':' |
||
| 839 | parameters_ws['C4'].border = b_border |
||
| 840 | parameters_ws['C4'].alignment = b_c_alignment |
||
| 841 | parameters_ws['C4'] = reporting_start_datetime_local |
||
| 842 | |||
| 843 | parameters_ws['D4'].alignment = b_r_alignment |
||
| 844 | parameters_ws['D4'] = _('Reporting End Datetime') + ':' |
||
| 845 | parameters_ws['E4'].border = b_border |
||
| 846 | parameters_ws['E4'].alignment = b_c_alignment |
||
| 847 | parameters_ws['E4'] = reporting_end_datetime_local |
||
| 848 | |||
| 849 | parameters_ws_current_row_number = 6 |
||
| 850 | |||
| 851 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
| 852 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters') |
||
| 853 | |||
| 854 | parameters_ws_current_row_number += 1 |
||
| 855 | |||
| 856 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
| 857 | |||
| 858 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
| 859 | |||
| 860 | parameters_ws_current_row_number += 1 |
||
| 861 | |||
| 862 | table_current_col_number = 2 |
||
| 863 | |||
| 864 | for i in range(0, parameters_names_len): |
||
| 865 | |||
| 866 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 867 | continue |
||
| 868 | |||
| 869 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 870 | |||
| 871 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 872 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 873 | |||
| 874 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 875 | |||
| 876 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 877 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 878 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
||
| 879 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
||
| 880 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
||
| 881 | |||
| 882 | table_current_row_number = parameters_ws_current_row_number |
||
| 883 | |||
| 884 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
| 885 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 886 | |||
| 887 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 888 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 889 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 890 | parameters_ws[col + str(table_current_row_number)] = value |
||
| 891 | |||
| 892 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 893 | |||
| 894 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 895 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 896 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 897 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
| 898 | |||
| 899 | table_current_row_number += 1 |
||
| 900 | |||
| 901 | table_current_col_number = table_current_col_number + 3 |
||
| 902 | |||
| 903 | ################################################################################################################ |
||
| 904 | # parameters chart and parameters table |
||
| 905 | ################################################################################################################ |
||
| 906 | |||
| 907 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
| 908 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters') |
||
| 909 | |||
| 910 | current_sheet_parameters_row_number += 1 |
||
| 911 | |||
| 912 | chart_start_row_number = current_sheet_parameters_row_number |
||
| 913 | |||
| 914 | col_index = 0 |
||
| 915 | |||
| 916 | for i in range(0, parameters_names_len): |
||
| 917 | |||
| 918 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 919 | continue |
||
| 920 | |||
| 921 | line = LineChart() |
||
| 922 | data_col = 3 + col_index * 3 |
||
| 923 | labels_col = 2 + col_index * 3 |
||
| 924 | col_index += 1 |
||
| 925 | line.title = _('Parameters') + ' - ' + \ |
||
| 926 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
| 927 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
| 928 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 929 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
| 930 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 931 | line.add_data(line_data, titles_from_data=True) |
||
| 932 | line.set_categories(labels) |
||
| 933 | line_data = line.series[0] |
||
| 934 | line_data.marker.symbol = "circle" |
||
| 935 | line_data.smooth = True |
||
| 936 | line.x_axis.crosses = 'min' |
||
| 937 | line.height = 8.25 |
||
| 938 | line.width = 24 |
||
| 939 | line.dLbls = DataLabelList() |
||
| 940 | line.dLbls.dLblPos = 't' |
||
| 941 | line.dLbls.showVal = False |
||
| 942 | line.dLbls.showPercent = False |
||
| 943 | chart_col = 'B' |
||
| 944 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 945 | chart_start_row_number += 6 |
||
| 946 | ws.add_chart(line, chart_cell) |
||
| 947 | |||
| 948 | current_sheet_parameters_row_number = chart_start_row_number |
||
| 949 | |||
| 950 | current_sheet_parameters_row_number += 1 |
||
| 951 | |||
| 952 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 953 | wb.save(filename) |
||
| 954 | |||
| 955 | return filename |
||
| 956 | |||
| 957 | |||
| 958 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
| 959 | max_len = 0 |
||
| 960 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
| 961 | if len(value) > max_len: |
||
| 962 | max_len = len(value) |
||
| 963 | |||
| 964 | return max_len |
||
| 965 | |||
| 966 | |||
| 967 | def timestamps_data_all_equal_0(lists): |
||
| 968 | for i, value in enumerate(list(lists)): |
||
| 969 | if len(value) > 0: |
||
| 970 | return False |
||
| 971 | |||
| 972 | return True |
||
| 973 | |||
| 974 | |||
| 975 | def timestamps_data_not_equal_0(lists): |
||
| 976 | number = 0 |
||
| 977 | for i, value in enumerate(list(lists)): |
||
| 978 | if len(value) > 0: |
||
| 979 | number += 1 |
||
| 980 | return number |
||
| 981 | |||
| 982 | |||
| 983 | View Code Duplication | def is_base_period_timestamp_exists(base_period_data): |
|
| 984 | timestamps = base_period_data['timestamps'] |
||
| 985 | |||
| 986 | if len(timestamps) == 0: |
||
| 987 | return False |
||
| 988 | |||
| 989 | for timestamp in timestamps: |
||
| 990 | if len(timestamp) > 0: |
||
| 991 | return True |
||
| 992 | |||
| 993 | return False |
||
| 994 |
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