MyEMS /
myems
| Total Complexity | 122 |
| Total Lines | 1021 |
| Duplicated Lines | 94.91 % |
| 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.tenantload 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 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 | View Code Duplication | 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 | |||
| 93 | # todo |
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| 94 | ws = wb.active |
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| 95 | ws.title = "TenantLoad" |
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| 96 | # Row height |
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| 97 | ws.row_dimensions[1].height = 102 |
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| 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 | |||
| 104 | ws.column_dimensions['B'].width = 25.0 |
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| 105 | |||
| 106 | for i in range(ord('C'), ord('Z')): |
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| 107 | ws.column_dimensions[chr(i)].width = 15.0 |
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| 108 | |||
| 109 | # Font |
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| 110 | name_font = Font(name='Arial', size=15, bold=True) |
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| 111 | title_font = Font(name='Arial', size=15, bold=True) |
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| 112 | |||
| 113 | table_fill = PatternFill(fill_type='solid', fgColor='90ee90') |
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| 114 | f_border = Border(left=Side(border_style='medium'), |
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| 115 | right=Side(border_style='medium'), |
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| 116 | bottom=Side(border_style='medium'), |
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| 117 | top=Side(border_style='medium') |
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| 118 | ) |
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| 119 | b_border = Border( |
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| 120 | bottom=Side(border_style='medium'), |
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| 121 | ) |
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| 122 | |||
| 123 | b_c_alignment = Alignment(vertical='bottom', |
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| 124 | horizontal='center', |
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| 125 | text_rotation=0, |
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| 126 | wrap_text=True, |
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| 127 | shrink_to_fit=False, |
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| 128 | indent=0) |
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| 129 | c_c_alignment = Alignment(vertical='center', |
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| 130 | horizontal='center', |
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| 131 | text_rotation=0, |
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| 132 | wrap_text=True, |
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| 133 | shrink_to_fit=False, |
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| 134 | indent=0) |
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| 135 | b_r_alignment = Alignment(vertical='bottom', |
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| 136 | horizontal='right', |
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| 137 | text_rotation=0, |
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| 138 | wrap_text=True, |
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| 139 | shrink_to_fit=False, |
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| 140 | indent=0) |
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| 141 | |||
| 142 | # Img |
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| 143 | img = Image("excelexporters/myems.png") |
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| 144 | ws.add_image(img, 'A1') |
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| 145 | |||
| 146 | # Title |
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| 147 | ws['B3'].alignment = b_r_alignment |
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| 148 | ws['B3'] = _('Name') + ':' |
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| 149 | ws['C3'].border = b_border |
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| 150 | ws['C3'].alignment = b_c_alignment |
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| 151 | ws['C3'] = name |
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| 152 | |||
| 153 | ws['D3'].alignment = b_r_alignment |
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| 154 | ws['D3'] = _('Period Type') + ':' |
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| 155 | ws['E3'].border = b_border |
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| 156 | ws['E3'].alignment = b_c_alignment |
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| 157 | ws['E3'] = period_type |
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| 158 | |||
| 159 | ws['B4'].alignment = b_r_alignment |
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| 160 | ws['B4'] = _('Reporting Start Datetime') + ':' |
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| 161 | ws['C4'].border = b_border |
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| 162 | ws['C4'].alignment = b_c_alignment |
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| 163 | ws['C4'] = reporting_start_datetime_local |
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| 164 | |||
| 165 | ws['D4'].alignment = b_r_alignment |
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| 166 | ws['D4'] = _('Reporting End Datetime') + ':' |
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| 167 | ws['E4'].border = b_border |
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| 168 | ws['E4'].alignment = b_c_alignment |
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| 169 | ws['E4'] = reporting_end_datetime_local |
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| 170 | |||
| 171 | is_base_period_timestamp_exists_flag = is_base_period_timestamp_exists(report['base_period']) |
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| 172 | |||
| 173 | if is_base_period_timestamp_exists_flag: |
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| 174 | ws['B5'].alignment = b_r_alignment |
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| 175 | ws['B5'] = _('Base Period Start Datetime') + ':' |
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| 176 | ws['C5'].border = b_border |
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| 177 | ws['C5'].alignment = b_c_alignment |
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| 178 | ws['C5'] = base_period_start_datetime_local |
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| 179 | |||
| 180 | ws['D5'].alignment = b_r_alignment |
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| 181 | ws['D5'] = _('Base Period End Datetime') + ':' |
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| 182 | ws['E5'].border = b_border |
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| 183 | ws['E5'].alignment = b_c_alignment |
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| 184 | ws['E5'] = base_period_end_datetime_local |
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| 185 | |||
| 186 | if "reporting_period" not in report.keys() or \ |
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| 187 | "timestamps" not in report['reporting_period'].keys() or len(report['reporting_period']['timestamps']) == 0: |
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| 188 | filename = str(uuid.uuid4()) + '.xlsx' |
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| 189 | wb.save(filename) |
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| 190 | |||
| 191 | return filename |
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| 192 | |||
| 193 | #################################################################################################################### |
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| 194 | current_row_number = 7 |
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| 195 | if "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: |
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| 196 | pass |
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| 197 | else: |
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| 198 | reporting_period_data = report['reporting_period'] |
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| 199 | category = reporting_period_data['names'] |
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| 200 | ca_len = len(category) |
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| 201 | |||
| 202 | ws['B' + str(current_row_number)].font = title_font |
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| 203 | ws['B' + str(current_row_number)] = name + _('Reporting Period Average Load') |
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| 204 | |||
| 205 | current_row_number += 1 |
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| 206 | |||
| 207 | ws.row_dimensions[current_row_number].height = 60 |
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| 208 | ws['B' + str(current_row_number)].fill = table_fill |
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| 209 | ws['B' + str(current_row_number)].border = f_border |
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| 210 | |||
| 211 | for i in range(0, ca_len): |
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| 212 | col = chr(ord('C') + i) |
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| 213 | ws[col + str(current_row_number)].fill = table_fill |
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| 214 | ws[col + str(current_row_number)].font = name_font |
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| 215 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 216 | ws[col + str(current_row_number)].border = f_border |
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| 217 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
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| 218 | " (" + reporting_period_data['units'][i] + "/H)" |
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| 219 | |||
| 220 | current_row_number += 1 |
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| 221 | |||
| 222 | ws['B' + str(current_row_number)].font = title_font |
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| 223 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 224 | ws['B' + str(current_row_number)].border = f_border |
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| 225 | ws['B' + str(current_row_number)] = _('Average Load') |
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| 226 | |||
| 227 | for i in range(0, ca_len): |
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| 228 | col = chr(ord('C') + i) |
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| 229 | ws[col + str(current_row_number)].font = name_font |
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| 230 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 231 | ws[col + str(current_row_number)].border = f_border |
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| 232 | ws[col + str(current_row_number)] = round(reporting_period_data['averages'][i], 2) \ |
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| 233 | if reporting_period_data['averages'][i] is not None else 'N/A' |
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| 234 | |||
| 235 | current_row_number += 1 |
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| 236 | |||
| 237 | ws['B' + str(current_row_number)].font = title_font |
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| 238 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 239 | ws['B' + str(current_row_number)].border = f_border |
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| 240 | ws['B' + str(current_row_number)] = _('Per Unit Area') |
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| 241 | |||
| 242 | for i in range(0, ca_len): |
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| 243 | col = chr(ord('C') + i) |
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| 244 | ws[col + str(current_row_number)].font = name_font |
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| 245 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 246 | ws[col + str(current_row_number)].border = f_border |
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| 247 | ws[col + str(current_row_number)] = round(reporting_period_data['averages_per_unit_area'][i], 2) \ |
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| 248 | if reporting_period_data['averages_per_unit_area'][i] is not None else 'N/A' |
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| 249 | |||
| 250 | current_row_number += 1 |
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| 251 | |||
| 252 | ws['B' + str(current_row_number)].font = title_font |
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| 253 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 254 | ws['B' + str(current_row_number)].border = f_border |
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| 255 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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| 256 | |||
| 257 | for i in range(0, ca_len): |
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| 258 | col = chr(ord('C') + i) |
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| 259 | ws[col + str(current_row_number)].font = name_font |
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| 260 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 261 | ws[col + str(current_row_number)].border = f_border |
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| 262 | ws[col + str(current_row_number)] = str( |
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| 263 | round(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \ |
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| 264 | if reporting_period_data['averages_increment_rate'][i] is not None else "-" |
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| 265 | |||
| 266 | current_row_number += 2 |
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| 267 | |||
| 268 | ws['B' + str(current_row_number)].font = title_font |
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| 269 | ws['B' + str(current_row_number)] = name + _('Reporting Period Maximum Load') |
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| 270 | |||
| 271 | current_row_number += 1 |
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| 272 | |||
| 273 | ws.row_dimensions[current_row_number].height = 60 |
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| 274 | ws['B' + str(current_row_number)].fill = table_fill |
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| 275 | ws['B' + str(current_row_number)].border = f_border |
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| 276 | for i in range(0, ca_len): |
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| 277 | col = chr(ord('C') + i) |
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| 278 | ws[col + str(current_row_number)].fill = table_fill |
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| 279 | ws[col + str(current_row_number)].font = name_font |
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| 280 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 281 | ws[col + str(current_row_number)].border = f_border |
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| 282 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
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| 283 | " (" + reporting_period_data['units'][i] + "/H)" |
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| 284 | |||
| 285 | current_row_number += 1 |
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| 286 | |||
| 287 | ws['B' + str(current_row_number)].font = title_font |
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| 288 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 289 | ws['B' + str(current_row_number)].border = f_border |
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| 290 | ws['B' + str(current_row_number)] = _('Maximum Load') |
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| 291 | |||
| 292 | for i in range(0, ca_len): |
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| 293 | col = chr(ord('C') + i) |
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| 294 | ws[col + str(current_row_number)].font = name_font |
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| 295 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 296 | ws[col + str(current_row_number)].border = f_border |
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| 297 | ws[col + str(current_row_number)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 298 | if reporting_period_data['maximums'][i] is not None else 'N/A' |
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| 299 | |||
| 300 | current_row_number += 1 |
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| 301 | |||
| 302 | ws['B' + str(current_row_number)].font = title_font |
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| 303 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 304 | ws['B' + str(current_row_number)].border = f_border |
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| 305 | ws['B' + str(current_row_number)] = _('Per Unit Area') |
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| 306 | |||
| 307 | for i in range(0, ca_len): |
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| 308 | col = chr(ord('C') + i) |
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| 309 | ws[col + str(current_row_number)].font = name_font |
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| 310 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 311 | ws[col + str(current_row_number)].border = f_border |
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| 312 | ws[col + str(current_row_number)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) \ |
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| 313 | if reporting_period_data['maximums_per_unit_area'][i] is not None else 'N/A' |
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| 314 | |||
| 315 | current_row_number += 1 |
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| 316 | |||
| 317 | ws['B' + str(current_row_number)].font = title_font |
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| 318 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 319 | ws['B' + str(current_row_number)].border = f_border |
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| 320 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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| 321 | |||
| 322 | for i in range(0, ca_len): |
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| 323 | col = chr(ord('C') + i) |
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| 324 | ws[col + str(current_row_number)].font = name_font |
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| 325 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 326 | ws[col + str(current_row_number)].border = f_border |
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| 327 | ws[col + str(current_row_number)] = str( |
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| 328 | round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 329 | if reporting_period_data['maximums_increment_rate'][i] is not None else "-" |
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| 330 | |||
| 331 | current_row_number += 2 |
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| 332 | |||
| 333 | ws['B' + str(current_row_number)].font = title_font |
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| 334 | ws['B' + str(current_row_number)] = name + _('Reporting Period Load Factor') |
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| 335 | |||
| 336 | current_row_number += 1 |
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| 337 | |||
| 338 | ws.row_dimensions[current_row_number].height = 60 |
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| 339 | ws['B' + str(current_row_number)].fill = table_fill |
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| 340 | ws['B' + str(current_row_number)].border = f_border |
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| 341 | for i in range(0, ca_len): |
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| 342 | col = chr(ord('C') + i) |
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| 343 | ws[col + str(current_row_number)].fill = table_fill |
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| 344 | ws[col + str(current_row_number)].font = name_font |
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| 345 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 346 | ws[col + str(current_row_number)].border = f_border |
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| 347 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] |
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| 348 | |||
| 349 | current_row_number += 1 |
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| 350 | |||
| 351 | ws['B' + str(current_row_number)].font = title_font |
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| 352 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 353 | ws['B' + str(current_row_number)].border = f_border |
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| 354 | ws['B' + str(current_row_number)] = _('Load Factor') |
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| 355 | |||
| 356 | for i in range(0, ca_len): |
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| 357 | col = chr(ord('C') + i) |
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| 358 | ws[col + str(current_row_number)].font = name_font |
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| 359 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 360 | ws[col + str(current_row_number)].border = f_border |
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| 361 | ws[col + str(current_row_number)] = round(reporting_period_data['factors'][i], 2) \ |
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| 362 | if reporting_period_data['factors'][i] is not None else '-' |
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| 363 | |||
| 364 | current_row_number += 1 |
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| 365 | |||
| 366 | ws['B' + str(current_row_number)].font = title_font |
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| 367 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
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| 368 | ws['B' + str(current_row_number)].border = f_border |
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| 369 | ws['B' + str(current_row_number)] = _('Increment Rate') |
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| 370 | |||
| 371 | for i in range(0, ca_len): |
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| 372 | col = chr(ord('C') + i) |
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| 373 | ws[col + str(current_row_number)].font = name_font |
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| 374 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 375 | ws[col + str(current_row_number)].border = f_border |
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| 376 | ws[col + str(current_row_number)] = str( |
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| 377 | round(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \ |
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| 378 | if reporting_period_data['factors_increment_rate'][i] is not None else "-" |
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| 379 | |||
| 380 | current_row_number += 2 |
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| 381 | |||
| 382 | has_sub_averages_data_flag = True |
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| 383 | has_sub_maximums_data_flag = True |
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| 384 | |||
| 385 | if "sub_averages" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_averages']) == 0: |
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| 386 | has_sub_averages_data_flag = False |
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| 387 | |||
| 388 | if "sub_maximums" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_maximums']) == 0: |
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| 389 | has_sub_maximums_data_flag = False |
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| 390 | |||
| 391 | current_chart_row_number = current_row_number |
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| 392 | |||
| 393 | if has_sub_averages_data_flag or has_sub_maximums_data_flag: |
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| 394 | if not is_base_period_timestamp_exists_flag: |
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| 395 | reporting_period_data = report['reporting_period'] |
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| 396 | category = reporting_period_data['names'] |
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| 397 | ca_len = len(category) |
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| 398 | times = reporting_period_data['timestamps'] |
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| 399 | time = times[0] |
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| 400 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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| 401 | ws['B' + str(current_row_number)].font = title_font |
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| 402 | ws['B' + str(current_row_number)] = name + _('Detailed Data') |
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| 403 | |||
| 404 | current_row_number += 1 |
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| 405 | chart_start_number = current_row_number |
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| 406 | # 1: Stand for blank line 2: Stand for title |
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| 407 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
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| 408 | if has_sub_averages_data_flag: |
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| 409 | current_row_number = (current_row_number + ca_len * 6) |
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| 410 | |||
| 411 | if has_sub_maximums_data_flag: |
||
| 412 | current_row_number = (current_row_number + ca_len * 6) |
||
| 413 | |||
| 414 | table_start_number = current_row_number |
||
| 415 | |||
| 416 | ws.row_dimensions[current_row_number].height = 60 |
||
| 417 | current_col_number = 2 |
||
| 418 | col = format_cell.get_column_letter(current_col_number) |
||
| 419 | ws[col + str(current_row_number)].fill = table_fill |
||
| 420 | ws[col + str(current_row_number)].font = title_font |
||
| 421 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 422 | ws[col + str(current_row_number)].border = f_border |
||
| 423 | ws[col + str(current_row_number)] = _('Datetime') |
||
| 424 | |||
| 425 | current_col_number = 3 |
||
| 426 | col = format_cell.get_column_letter(current_col_number) |
||
| 427 | |||
| 428 | for i in range(0, ca_len): |
||
| 429 | if has_sub_averages_data_flag: |
||
| 430 | ws[col + str(current_row_number)].fill = table_fill |
||
| 431 | ws[col + str(current_row_number)].font = title_font |
||
| 432 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 433 | ws[col + str(current_row_number)].border = f_border |
||
| 434 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
||
| 435 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 436 | |||
| 437 | current_col_number += 1 |
||
| 438 | col = format_cell.get_column_letter(current_col_number) |
||
| 439 | |||
| 440 | if has_sub_maximums_data_flag: |
||
| 441 | ws[col + str(current_row_number)].fill = table_fill |
||
| 442 | ws[col + str(current_row_number)].font = title_font |
||
| 443 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 444 | ws[col + str(current_row_number)].border = f_border |
||
| 445 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
||
| 446 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 447 | |||
| 448 | current_col_number += 1 |
||
| 449 | col = format_cell.get_column_letter(current_col_number) |
||
| 450 | |||
| 451 | current_row_number += 1 |
||
| 452 | |||
| 453 | for i in range(0, len(time)): |
||
| 454 | current_col_number = 2 |
||
| 455 | col = format_cell.get_column_letter(current_col_number) |
||
| 456 | ws[col + str(current_row_number)].font = title_font |
||
| 457 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 458 | ws[col + str(current_row_number)].border = f_border |
||
| 459 | ws[col + str(current_row_number)] = time[i] |
||
| 460 | |||
| 461 | current_col_number = 3 |
||
| 462 | col = format_cell.get_column_letter(current_col_number) |
||
| 463 | for j in range(0, ca_len): |
||
| 464 | |||
| 465 | if has_sub_averages_data_flag: |
||
| 466 | ws[col + str(current_row_number)].font = title_font |
||
| 467 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 468 | ws[col + str(current_row_number)].border = f_border |
||
| 469 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_averages'][j][i], 2) \ |
||
| 470 | if reporting_period_data['sub_averages'][j][i] is not None else None |
||
| 471 | current_col_number += 1 |
||
| 472 | col = format_cell.get_column_letter(current_col_number) |
||
| 473 | |||
| 474 | if has_sub_maximums_data_flag: |
||
| 475 | ws[col + str(current_row_number)].font = title_font |
||
| 476 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 477 | ws[col + str(current_row_number)].border = f_border |
||
| 478 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
| 479 | if reporting_period_data['sub_maximums'][j][i] is not None else None |
||
| 480 | current_col_number += 1 |
||
| 481 | col = format_cell.get_column_letter(current_col_number) |
||
| 482 | |||
| 483 | current_row_number += 1 |
||
| 484 | |||
| 485 | table_end_number = current_row_number - 1 |
||
| 486 | |||
| 487 | current_chart_col_number = 3 |
||
| 488 | current_chart_row_number = chart_start_number |
||
| 489 | |||
| 490 | for i in range(0, ca_len): |
||
| 491 | labels = Reference(ws, min_col=2, min_row=table_start_number + 1, max_row=table_end_number) |
||
| 492 | |||
| 493 | if has_sub_averages_data_flag: |
||
| 494 | line = LineChart() |
||
| 495 | line.title = _('Reporting Period Average Load') + ' - ' \ |
||
| 496 | + reporting_period_data['names'][i] + \ |
||
| 497 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 498 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
| 499 | max_row=table_end_number) |
||
| 500 | line.add_data(datas, titles_from_data=True) |
||
| 501 | line.set_categories(labels) |
||
| 502 | line_data = line.series[0] |
||
| 503 | line_data.marker.symbol = "circle" |
||
| 504 | line_data.smooth = True |
||
| 505 | line.x_axis.crosses = 'min' |
||
| 506 | line.height = 8.25 |
||
| 507 | line.width = 24 |
||
| 508 | line.dLbls = DataLabelList() |
||
| 509 | line.dLbls.dLblPos = 't' |
||
| 510 | line.dLbls.showVal = True |
||
| 511 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
| 512 | current_chart_row_number += 6 |
||
| 513 | current_chart_col_number += 1 |
||
| 514 | |||
| 515 | if has_sub_maximums_data_flag: |
||
| 516 | line = LineChart() |
||
| 517 | line.title = _('Reporting Period Maximum Load') + ' - ' \ |
||
| 518 | + reporting_period_data['names'][i] + \ |
||
| 519 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 520 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
| 521 | max_row=table_end_number) |
||
| 522 | line.add_data(datas, titles_from_data=True) |
||
| 523 | line.set_categories(labels) |
||
| 524 | line_data = line.series[0] |
||
| 525 | line_data.marker.symbol = "circle" |
||
| 526 | line_data.smooth = True |
||
| 527 | line.x_axis.crosses = 'min' |
||
| 528 | line.height = 8.25 |
||
| 529 | line.width = 24 |
||
| 530 | line.dLbls = DataLabelList() |
||
| 531 | line.dLbls.dLblPos = 't' |
||
| 532 | line.dLbls.showVal = True |
||
| 533 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
| 534 | current_chart_row_number += 6 |
||
| 535 | current_chart_col_number += 1 |
||
| 536 | else: |
||
| 537 | base_period_data = report['base_period'] |
||
| 538 | reporting_period_data = report['reporting_period'] |
||
| 539 | base_period_timestamps = base_period_data['timestamps'] |
||
| 540 | reporting_period_timestamps = reporting_period_data['timestamps'] |
||
| 541 | # Tip: |
||
| 542 | # base_period_data['names'] == reporting_period_data['names'] |
||
| 543 | # base_period_data['units'] == reporting_period_data['units'] |
||
| 544 | base_period_data_ca_len = len(base_period_data['names']) |
||
| 545 | reporting_period_data_ca_len = len(reporting_period_data['names']) |
||
| 546 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
||
| 547 | ws['B' + str(current_row_number)].font = title_font |
||
| 548 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
||
| 549 | |||
| 550 | current_row_number += 1 |
||
| 551 | chart_start_number = current_row_number |
||
| 552 | |||
| 553 | # 1: Stand for blank line 2: Stand for title |
||
| 554 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
||
| 555 | |||
| 556 | if has_sub_averages_data_flag: |
||
| 557 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
| 558 | |||
| 559 | if has_sub_maximums_data_flag: |
||
| 560 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
| 561 | |||
| 562 | table_start_row_number = current_row_number |
||
| 563 | |||
| 564 | has_data = False |
||
| 565 | |||
| 566 | if len(base_period_timestamps[0]) or len(reporting_period_timestamps[0]) > 0: |
||
| 567 | has_data = True |
||
| 568 | |||
| 569 | if has_data: |
||
| 570 | ws.row_dimensions[current_row_number].height = 60 |
||
| 571 | current_col_number = 2 |
||
| 572 | col = format_cell.get_column_letter(current_col_number) |
||
| 573 | ws[col + str(current_row_number)].fill = table_fill |
||
| 574 | ws[col + str(current_row_number)].font = title_font |
||
| 575 | ws[col + str(current_row_number)].border = f_border |
||
| 576 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 577 | ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime') |
||
| 578 | |||
| 579 | for i in range(0, base_period_data_ca_len): |
||
| 580 | if has_sub_averages_data_flag: |
||
| 581 | current_col_number += 1 |
||
| 582 | col = format_cell.get_column_letter(current_col_number) |
||
| 583 | |||
| 584 | ws[col + str(current_row_number)].fill = table_fill |
||
| 585 | ws[col + str(current_row_number)].font = title_font |
||
| 586 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 587 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
| 588 | + base_period_data['names'][i] + \ |
||
| 589 | " " + _('Average Load') + "(" + base_period_data['units'][i] + "/H)" |
||
| 590 | ws[col + str(current_row_number)].border = f_border |
||
| 591 | |||
| 592 | if has_sub_maximums_data_flag: |
||
| 593 | current_col_number += 1 |
||
| 594 | col = format_cell.get_column_letter(current_col_number) |
||
| 595 | |||
| 596 | ws[col + str(current_row_number)].fill = table_fill |
||
| 597 | ws[col + str(current_row_number)].font = title_font |
||
| 598 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 599 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
| 600 | + base_period_data['names'][i] + \ |
||
| 601 | " " + _('Maximum Load') + "(" + base_period_data['units'][i] + "/H)" |
||
| 602 | ws[col + str(current_row_number)].border = f_border |
||
| 603 | |||
| 604 | current_col_number += 1 |
||
| 605 | col = format_cell.get_column_letter(current_col_number) |
||
| 606 | |||
| 607 | ws[col + str(current_row_number)].fill = table_fill |
||
| 608 | ws[col + str(current_row_number)].font = title_font |
||
| 609 | ws[col + str(current_row_number)].border = f_border |
||
| 610 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 611 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime') |
||
| 612 | |||
| 613 | for i in range(0, reporting_period_data_ca_len): |
||
| 614 | if has_sub_averages_data_flag: |
||
| 615 | current_col_number += 1 |
||
| 616 | col = format_cell.get_column_letter(current_col_number) |
||
| 617 | ws[col + str(current_row_number)].fill = table_fill |
||
| 618 | ws[col + str(current_row_number)].font = title_font |
||
| 619 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 620 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
| 621 | + reporting_period_data['names'][i] + \ |
||
| 622 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 623 | ws[col + str(current_row_number)].border = f_border |
||
| 624 | |||
| 625 | if has_sub_maximums_data_flag: |
||
| 626 | current_col_number += 1 |
||
| 627 | col = format_cell.get_column_letter(current_col_number) |
||
| 628 | ws[col + str(current_row_number)].fill = table_fill |
||
| 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)] = _('Reporting Period') + " - " \ |
||
| 632 | + reporting_period_data['names'][i] + \ |
||
| 633 | " " + _('Maximum Load') + "(" + \ |
||
| 634 | reporting_period_data['units'][i] + "/H)" |
||
| 635 | ws[col + str(current_row_number)].border = f_border |
||
| 636 | |||
| 637 | current_row_number += 1 |
||
| 638 | |||
| 639 | max_timestamps_len = len(base_period_timestamps[0]) \ |
||
| 640 | if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \ |
||
| 641 | else len(reporting_period_timestamps[0]) |
||
| 642 | |||
| 643 | for i in range(0, max_timestamps_len): |
||
| 644 | current_col_number = 2 |
||
| 645 | col = format_cell.get_column_letter(current_col_number) |
||
| 646 | ws[col + str(current_row_number)].font = title_font |
||
| 647 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 648 | ws[col + str(current_row_number)] = base_period_timestamps[0][i] \ |
||
| 649 | if i < len(base_period_timestamps[0]) else None |
||
| 650 | ws[col + str(current_row_number)].border = f_border |
||
| 651 | |||
| 652 | for j in range(0, base_period_data_ca_len): |
||
| 653 | if has_sub_averages_data_flag: |
||
| 654 | current_col_number += 1 |
||
| 655 | col = format_cell.get_column_letter(current_col_number) |
||
| 656 | |||
| 657 | ws[col + str(current_row_number)].font = title_font |
||
| 658 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 659 | ws[col + str(current_row_number)] = round(base_period_data['sub_averages'][j][i], 2) \ |
||
| 660 | if i < len(base_period_data['sub_averages'][j]) \ |
||
| 661 | and base_period_data['sub_averages'][j][i] is not None else None |
||
| 662 | ws[col + str(current_row_number)].border = f_border |
||
| 663 | |||
| 664 | if has_sub_maximums_data_flag: |
||
| 665 | current_col_number += 1 |
||
| 666 | col = format_cell.get_column_letter(current_col_number) |
||
| 667 | |||
| 668 | ws[col + str(current_row_number)].font = title_font |
||
| 669 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 670 | ws[col + str(current_row_number)] = round(base_period_data['sub_maximums'][j][i], 2) \ |
||
| 671 | if i < len(base_period_data['sub_maximums'][j]) \ |
||
| 672 | and base_period_data['sub_averages'][j][i] is not None else None |
||
| 673 | ws[col + str(current_row_number)].border = f_border |
||
| 674 | |||
| 675 | current_col_number += 1 |
||
| 676 | col = format_cell.get_column_letter(current_col_number) |
||
| 677 | |||
| 678 | ws[col + str(current_row_number)].font = title_font |
||
| 679 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 680 | ws[col + str(current_row_number)] = reporting_period_timestamps[0][i] \ |
||
| 681 | if i < len(reporting_period_timestamps[0]) else None |
||
| 682 | ws[col + str(current_row_number)].border = f_border |
||
| 683 | |||
| 684 | for j in range(0, reporting_period_data_ca_len): |
||
| 685 | if has_sub_averages_data_flag: |
||
| 686 | current_col_number += 1 |
||
| 687 | col = format_cell.get_column_letter(current_col_number) |
||
| 688 | |||
| 689 | ws[col + str(current_row_number)].font = title_font |
||
| 690 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 691 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_averages'][j][i], 2) \ |
||
| 692 | if i < len(reporting_period_data['sub_averages'][j]) \ |
||
| 693 | and reporting_period_data['sub_averages'][j][i] is not None else None |
||
| 694 | ws[col + str(current_row_number)].border = f_border |
||
| 695 | |||
| 696 | if has_sub_maximums_data_flag: |
||
| 697 | current_col_number += 1 |
||
| 698 | col = format_cell.get_column_letter(current_col_number) |
||
| 699 | |||
| 700 | ws[col + str(current_row_number)].font = title_font |
||
| 701 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 702 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
| 703 | if i < len(reporting_period_data['sub_maximums'][j]) \ |
||
| 704 | and reporting_period_data['sub_maximums'][j][i] is not None else None |
||
| 705 | ws[col + str(current_row_number)].border = f_border |
||
| 706 | |||
| 707 | current_row_number += 1 |
||
| 708 | |||
| 709 | current_chart_col_number = 3 |
||
| 710 | current_chart_row_number = chart_start_number |
||
| 711 | |||
| 712 | for i in range(0, reporting_period_data_ca_len): |
||
| 713 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 2 + 1, |
||
| 714 | min_row=table_start_row_number + 1, |
||
| 715 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
| 716 | |||
| 717 | if has_sub_averages_data_flag: |
||
| 718 | # line |
||
| 719 | line = LineChart() |
||
| 720 | line.title = _('Base Period Average Load') + ' / ' \ |
||
| 721 | + _('Reporting Period Average Load') + ' - ' \ |
||
| 722 | + reporting_period_data['names'][i] + \ |
||
| 723 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 724 | base_line_data = Reference(ws, |
||
| 725 | min_col=current_chart_col_number, |
||
| 726 | min_row=table_start_row_number, |
||
| 727 | max_row=table_start_row_number |
||
| 728 | + len(reporting_period_timestamps[0])) |
||
| 729 | |||
| 730 | data_distance = base_period_data_ca_len |
||
| 731 | if has_sub_maximums_data_flag: |
||
| 732 | data_distance *= 2 |
||
| 733 | |||
| 734 | reporting_line_data = Reference(ws, |
||
| 735 | min_col=current_chart_col_number + data_distance + 1, |
||
| 736 | min_row=table_start_row_number, |
||
| 737 | max_row=table_start_row_number |
||
| 738 | + len(reporting_period_timestamps[0])) |
||
| 739 | line.add_data(base_line_data, titles_from_data=True) |
||
| 740 | line.add_data(reporting_line_data, titles_from_data=True) |
||
| 741 | line.set_categories(labels) |
||
| 742 | for j in range(len(line.series)): |
||
| 743 | line.series[j].marker.symbol = "circle" |
||
| 744 | line.series[j].smooth = True |
||
| 745 | line.x_axis.crosses = 'min' |
||
| 746 | line.height = 8.25 |
||
| 747 | line.width = 24 |
||
| 748 | line.dLbls = DataLabelList() |
||
| 749 | line.dLbls.dLblPos = 't' |
||
| 750 | line.dLbls.showVal = True |
||
| 751 | line.dLbls.showPercent = False |
||
| 752 | chart_col = 'B' |
||
| 753 | chart_cell = chart_col + str(current_chart_row_number) |
||
| 754 | ws.add_chart(line, chart_cell) |
||
| 755 | current_chart_row_number += 6 |
||
| 756 | current_chart_col_number += 1 |
||
| 757 | |||
| 758 | if has_sub_maximums_data_flag: |
||
| 759 | # line |
||
| 760 | line = LineChart() |
||
| 761 | line.title = _('Base Period Maximum Load') + ' / ' \ |
||
| 762 | + _('Reporting Period Maximum Load') + ' - ' \ |
||
| 763 | + reporting_period_data['names'][i] + \ |
||
| 764 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 765 | base_line_data = Reference(ws, |
||
| 766 | min_col=current_chart_col_number, |
||
| 767 | min_row=table_start_row_number, |
||
| 768 | max_row=table_start_row_number |
||
| 769 | + len(reporting_period_timestamps[0])) |
||
| 770 | |||
| 771 | data_distance = base_period_data_ca_len |
||
| 772 | if has_sub_averages_data_flag: |
||
| 773 | data_distance *= 2 |
||
| 774 | |||
| 775 | reporting_line_data = Reference(ws, |
||
| 776 | min_col=current_chart_col_number + data_distance + 1, |
||
| 777 | min_row=table_start_row_number, |
||
| 778 | max_row=table_start_row_number |
||
| 779 | + len(reporting_period_timestamps[0])) |
||
| 780 | line.add_data(base_line_data, titles_from_data=True) |
||
| 781 | line.add_data(reporting_line_data, titles_from_data=True) |
||
| 782 | line.set_categories(labels) |
||
| 783 | for j in range(len(line.series)): |
||
| 784 | line.series[j].marker.symbol = "circle" |
||
| 785 | line.series[j].smooth = True |
||
| 786 | line.x_axis.crosses = 'min' |
||
| 787 | line.height = 8.25 |
||
| 788 | line.width = 24 |
||
| 789 | line.dLbls = DataLabelList() |
||
| 790 | line.dLbls.dLblPos = 't' |
||
| 791 | line.dLbls.showVal = True |
||
| 792 | line.dLbls.showPercent = False |
||
| 793 | chart_col = 'B' |
||
| 794 | chart_cell = chart_col + str(current_chart_row_number) |
||
| 795 | ws.add_chart(line, chart_cell) |
||
| 796 | current_chart_row_number += 6 |
||
| 797 | current_chart_col_number += 1 |
||
| 798 | |||
| 799 | current_row_number += 2 |
||
| 800 | |||
| 801 | #################################################################################################################### |
||
| 802 | current_sheet_parameters_row_number = current_chart_row_number + 1 |
||
| 803 | if 'parameters' not in report.keys() or \ |
||
| 804 | report['parameters'] is None or \ |
||
| 805 | 'names' not in report['parameters'].keys() or \ |
||
| 806 | report['parameters']['names'] is None or \ |
||
| 807 | len(report['parameters']['names']) == 0 or \ |
||
| 808 | 'timestamps' not in report['parameters'].keys() or \ |
||
| 809 | report['parameters']['timestamps'] is None or \ |
||
| 810 | len(report['parameters']['timestamps']) == 0 or \ |
||
| 811 | 'values' not in report['parameters'].keys() or \ |
||
| 812 | report['parameters']['values'] is None or \ |
||
| 813 | len(report['parameters']['values']) == 0 or \ |
||
| 814 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
| 815 | pass |
||
| 816 | else: |
||
| 817 | |||
| 818 | ################################################################################################################ |
||
| 819 | # new worksheet |
||
| 820 | ################################################################################################################ |
||
| 821 | |||
| 822 | parameters_data = report['parameters'] |
||
| 823 | parameters_names_len = len(parameters_data['names']) |
||
| 824 | |||
| 825 | file_name = (re.sub(r'[^A-Z]', '', ws.title))+'_' |
||
| 826 | parameters_ws = wb.create_sheet(file_name + _('Parameters')) |
||
| 827 | |||
| 828 | parameters_timestamps_data_max_len = \ |
||
| 829 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
| 830 | |||
| 831 | # Row height |
||
| 832 | parameters_ws.row_dimensions[1].height = 102 |
||
| 833 | for i in range(2, 7 + 1): |
||
| 834 | parameters_ws.row_dimensions[i].height = 42 |
||
| 835 | |||
| 836 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
| 837 | parameters_ws.row_dimensions[i].height = 60 |
||
| 838 | |||
| 839 | # Col width |
||
| 840 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
| 841 | |||
| 842 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
| 843 | |||
| 844 | for i in range(3, 12 + parameters_names_len * 3): |
||
| 845 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
| 846 | |||
| 847 | # Img |
||
| 848 | img = Image("excelexporters/myems.png") |
||
| 849 | parameters_ws.add_image(img, 'A1') |
||
| 850 | |||
| 851 | # Title |
||
| 852 | parameters_ws['B3'].alignment = b_r_alignment |
||
| 853 | parameters_ws['B3'] = _('Name') + ':' |
||
| 854 | parameters_ws['C3'].border = b_border |
||
| 855 | parameters_ws['C3'].alignment = b_c_alignment |
||
| 856 | parameters_ws['C3'] = name |
||
| 857 | |||
| 858 | parameters_ws['D3'].alignment = b_r_alignment |
||
| 859 | parameters_ws['D3'] = _('Period Type') + ':' |
||
| 860 | parameters_ws['E3'].border = b_border |
||
| 861 | parameters_ws['E3'].alignment = b_c_alignment |
||
| 862 | parameters_ws['E3'] = period_type |
||
| 863 | |||
| 864 | parameters_ws['B4'].alignment = b_r_alignment |
||
| 865 | parameters_ws['B4'] = _('Reporting Start Datetime') + ':' |
||
| 866 | parameters_ws['C4'].border = b_border |
||
| 867 | parameters_ws['C4'].alignment = b_c_alignment |
||
| 868 | parameters_ws['C4'] = reporting_start_datetime_local |
||
| 869 | |||
| 870 | parameters_ws['D4'].alignment = b_r_alignment |
||
| 871 | parameters_ws['D4'] = _('Reporting End Datetime') + ':' |
||
| 872 | parameters_ws['E4'].border = b_border |
||
| 873 | parameters_ws['E4'].alignment = b_c_alignment |
||
| 874 | parameters_ws['E4'] = reporting_end_datetime_local |
||
| 875 | |||
| 876 | parameters_ws_current_row_number = 6 |
||
| 877 | |||
| 878 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
| 879 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters') |
||
| 880 | |||
| 881 | parameters_ws_current_row_number += 1 |
||
| 882 | |||
| 883 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
| 884 | |||
| 885 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
| 886 | |||
| 887 | parameters_ws_current_row_number += 1 |
||
| 888 | |||
| 889 | table_current_col_number = 2 |
||
| 890 | |||
| 891 | for i in range(0, parameters_names_len): |
||
| 892 | |||
| 893 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 894 | continue |
||
| 895 | |||
| 896 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 897 | |||
| 898 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 899 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 900 | |||
| 901 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 902 | |||
| 903 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill |
||
| 904 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border |
||
| 905 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font |
||
| 906 | parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment |
||
| 907 | parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] |
||
| 908 | |||
| 909 | table_current_row_number = parameters_ws_current_row_number |
||
| 910 | |||
| 911 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
| 912 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 913 | |||
| 914 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 915 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 916 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 917 | parameters_ws[col + str(table_current_row_number)] = value |
||
| 918 | |||
| 919 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 920 | |||
| 921 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 922 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 923 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 924 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
| 925 | |||
| 926 | table_current_row_number += 1 |
||
| 927 | |||
| 928 | table_current_col_number = table_current_col_number + 3 |
||
| 929 | |||
| 930 | ################################################################################################################ |
||
| 931 | # parameters chart and parameters table |
||
| 932 | ################################################################################################################ |
||
| 933 | |||
| 934 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
| 935 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters') |
||
| 936 | |||
| 937 | current_sheet_parameters_row_number += 1 |
||
| 938 | |||
| 939 | chart_start_row_number = current_sheet_parameters_row_number |
||
| 940 | |||
| 941 | col_index = 0 |
||
| 942 | |||
| 943 | for i in range(0, parameters_names_len): |
||
| 944 | |||
| 945 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 946 | continue |
||
| 947 | |||
| 948 | line = LineChart() |
||
| 949 | data_col = 3 + col_index * 3 |
||
| 950 | labels_col = 2 + col_index * 3 |
||
| 951 | col_index += 1 |
||
| 952 | line.title = _('Parameters') + ' - ' + \ |
||
| 953 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
| 954 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
| 955 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 956 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
| 957 | max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) |
||
| 958 | line.add_data(line_data, titles_from_data=True) |
||
| 959 | line.set_categories(labels) |
||
| 960 | line_data = line.series[0] |
||
| 961 | line_data.marker.symbol = "circle" |
||
| 962 | line_data.smooth = True |
||
| 963 | line.x_axis.crosses = 'min' |
||
| 964 | line.height = 8.25 |
||
| 965 | line.width = 24 |
||
| 966 | line.dLbls = DataLabelList() |
||
| 967 | line.dLbls.dLblPos = 't' |
||
| 968 | line.dLbls.showVal = False |
||
| 969 | line.dLbls.showPercent = False |
||
| 970 | chart_col = 'B' |
||
| 971 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 972 | chart_start_row_number += 6 |
||
| 973 | ws.add_chart(line, chart_cell) |
||
| 974 | |||
| 975 | current_sheet_parameters_row_number = chart_start_row_number |
||
| 976 | |||
| 977 | current_sheet_parameters_row_number += 1 |
||
| 978 | #################################################################################################################### |
||
| 979 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 980 | wb.save(filename) |
||
| 981 | |||
| 982 | return filename |
||
| 983 | |||
| 984 | |||
| 985 | def timestamps_data_all_equal_0(lists): |
||
| 986 | for i, value in enumerate(list(lists)): |
||
| 987 | if len(value) > 0: |
||
| 988 | return False |
||
| 989 | |||
| 990 | return True |
||
| 991 | |||
| 992 | |||
| 993 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
| 994 | max_len = 0 |
||
| 995 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
| 996 | if len(value) > max_len: |
||
| 997 | max_len = len(value) |
||
| 998 | |||
| 999 | return max_len |
||
| 1000 | |||
| 1001 | |||
| 1002 | def timestamps_data_not_equal_0(lists): |
||
| 1003 | number = 0 |
||
| 1004 | for i, value in enumerate(list(lists)): |
||
| 1005 | if len(value) > 0: |
||
| 1006 | number += 1 |
||
| 1007 | return number |
||
| 1008 | |||
| 1009 | |||
| 1010 | View Code Duplication | def is_base_period_timestamp_exists(base_period_data): |
|
| 1011 | timestamps = base_period_data['timestamps'] |
||
| 1012 | |||
| 1013 | if len(timestamps) == 0: |
||
| 1014 | return False |
||
| 1015 | |||
| 1016 | for timestamp in timestamps: |
||
| 1017 | if len(timestamp) > 0: |
||
| 1018 | return True |
||
| 1019 | |||
| 1020 | return False |
||
| 1021 |
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