MyEMS /
myems
| Total Complexity | 124 |
| Total Lines | 1019 |
| Duplicated Lines | 5.5 % |
| 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.combinedequipmentload 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 | 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 = "CombinedEquipmentLoad" |
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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: Load |
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| 193 | # 7: title |
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| 194 | # 8: table title |
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| 195 | # 9~2*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 | |||
| 205 | return filename |
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| 206 | |||
| 207 | ws['B7'].font = title_font |
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| 208 | ws['B7'] = name + ' ' + _('Load') |
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| 209 | |||
| 210 | category = reporting_period_data['names'] |
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| 211 | |||
| 212 | # table_title |
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| 213 | ws['B8'].fill = table_fill |
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| 214 | ws['B8'].font = title_font |
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| 215 | ws['B8'].alignment = c_c_alignment |
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| 216 | ws['B8'] = _('Reporting Period') |
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| 217 | ws['B8'].border = f_border |
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| 218 | |||
| 219 | ws['C8'].font = title_font |
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| 220 | ws['C8'].alignment = c_c_alignment |
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| 221 | ws['C8'] = _('Average Load') |
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| 222 | ws['C8'].border = f_border |
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| 223 | |||
| 224 | ws['D8'].font = title_font |
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| 225 | ws['D8'].alignment = c_c_alignment |
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| 226 | ws['D8'] = _('Maximum Load') |
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| 227 | ws['D8'].border = f_border |
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| 228 | |||
| 229 | ws['E8'].font = title_font |
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| 230 | ws['E8'].alignment = c_c_alignment |
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| 231 | ws['E8'] = _('Load Factor') |
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| 232 | ws['E8'].border = f_border |
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| 233 | |||
| 234 | # table_data |
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| 235 | |||
| 236 | for i, value in enumerate(category): |
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| 237 | row = i * 2 + 9 |
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| 238 | ws['B' + str(row)].font = name_font |
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| 239 | ws['B' + str(row)].alignment = c_c_alignment |
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| 240 | ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + "/H )" |
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| 241 | ws['B' + str(row)].border = f_border |
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| 242 | |||
| 243 | ws['B' + str(row + 1)].font = name_font |
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| 244 | ws['B' + str(row + 1)].alignment = c_c_alignment |
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| 245 | ws['B' + str(row + 1)] = _('Increment Rate') |
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| 246 | ws['B' + str(row + 1)].border = f_border |
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| 247 | |||
| 248 | ws['C' + str(row)].font = name_font |
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| 249 | ws['C' + str(row)].alignment = c_c_alignment |
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| 250 | ws['C' + str(row)] = round(reporting_period_data['averages'][i], 2) \ |
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| 251 | if reporting_period_data['averages'][i] is not None else '' |
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| 252 | ws['C' + str(row)].border = f_border |
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| 253 | ws['C' + str(row)].number_format = '0.00' |
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| 254 | |||
| 255 | ws['C' + str(row + 1)].font = name_font |
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| 256 | ws['C' + str(row + 1)].alignment = c_c_alignment |
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| 257 | ws['C' + str(row + 1)] = str(round(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \ |
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| 258 | if reporting_period_data['averages_increment_rate'][i] is not None else '0.00%' |
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| 259 | ws['C' + str(row + 1)].border = f_border |
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| 260 | |||
| 261 | ws['D' + str(row)].font = name_font |
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| 262 | ws['D' + str(row)].alignment = c_c_alignment |
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| 263 | ws['D' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ |
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| 264 | if reporting_period_data['maximums'][i] is not None else '' |
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| 265 | ws['D' + str(row)].border = f_border |
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| 266 | ws['D' + str(row)].number_format = '0.00' |
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| 267 | |||
| 268 | ws['D' + str(row + 1)].font = name_font |
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| 269 | ws['D' + str(row + 1)].alignment = c_c_alignment |
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| 270 | ws['D' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ |
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| 271 | if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' |
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| 272 | ws['D' + str(row + 1)].border = f_border |
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| 273 | |||
| 274 | ws['E' + str(row)].font = name_font |
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| 275 | ws['E' + str(row)].alignment = c_c_alignment |
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| 276 | ws['E' + str(row)] = round(reporting_period_data['factors'][i], 2) \ |
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| 277 | if reporting_period_data['factors'][i] is not None else '' |
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| 278 | ws['E' + str(row)].border = f_border |
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| 279 | ws['E' + str(row)].number_format = '0.00' |
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| 280 | |||
| 281 | ws['E' + str(row + 1)].font = name_font |
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| 282 | ws['E' + str(row + 1)].alignment = c_c_alignment |
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| 283 | ws['E' + str(row + 1)] = str(round(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \ |
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| 284 | if reporting_period_data['factors_increment_rate'][i] is not None else '0.00%' |
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| 285 | ws['E' + str(row + 1)].border = f_border |
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| 286 | |||
| 287 | #################################################################################################################### |
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| 288 | # Third: Detailed Data |
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| 289 | # analysis_end_row_number~ analysis_end_row_number + 6*cal_len: line |
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| 290 | # detailed_start_row_number: table title |
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| 291 | # detailed_start_row_number + 1~: table_data |
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| 292 | #################################################################################################################### |
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| 293 | current_row_number = len(category) * 2 + 9 + 1 |
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| 294 | |||
| 295 | has_sub_averages_data_flag = True |
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| 296 | has_sub_maximums_data_flag = True |
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| 297 | |||
| 298 | if "sub_averages" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_averages']) == 0: |
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| 299 | has_sub_averages_data_flag = False |
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| 300 | |||
| 301 | if "sub_maximums" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_maximums']) == 0: |
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| 302 | has_sub_maximums_data_flag = False |
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| 303 | |||
| 304 | current_chart_row_number = current_row_number |
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| 305 | |||
| 306 | if has_sub_averages_data_flag or has_sub_maximums_data_flag: |
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| 307 | if not is_base_period_timestamp_exists_flag: |
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| 308 | reporting_period_data = report['reporting_period'] |
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| 309 | category = reporting_period_data['names'] |
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| 310 | ca_len = len(category) |
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| 311 | times = reporting_period_data['timestamps'] |
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| 312 | time = times[0] |
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| 313 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
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| 314 | ws['B' + str(current_row_number)].font = title_font |
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| 315 | ws['B' + str(current_row_number)] = name + _('Detailed Data') |
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| 316 | |||
| 317 | current_row_number += 1 |
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| 318 | chart_start_number = current_row_number |
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| 319 | # 1: Stand for blank line 2: Stand for title |
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| 320 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
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| 321 | if has_sub_averages_data_flag: |
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| 322 | current_row_number = (current_row_number + ca_len * 6) |
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| 323 | |||
| 324 | if has_sub_maximums_data_flag: |
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| 325 | current_row_number = (current_row_number + ca_len * 6) |
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| 326 | |||
| 327 | table_start_number = current_row_number |
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| 328 | |||
| 329 | ws.row_dimensions[current_row_number].height = 60 |
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| 330 | current_col_number = 2 |
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| 331 | col = format_cell.get_column_letter(current_col_number) |
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| 332 | ws[col + str(current_row_number)].fill = table_fill |
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| 333 | ws[col + str(current_row_number)].font = title_font |
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| 334 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 335 | ws[col + str(current_row_number)].border = f_border |
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| 336 | ws[col + str(current_row_number)] = _('Datetime') |
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| 337 | |||
| 338 | current_col_number = 3 |
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| 339 | col = format_cell.get_column_letter(current_col_number) |
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| 340 | |||
| 341 | for i in range(0, ca_len): |
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| 342 | if has_sub_averages_data_flag: |
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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 = title_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 | " " + _('Average Load') + "(" + reporting_period_data['units'][ |
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| 349 | i] + "/H)" |
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| 350 | |||
| 351 | current_col_number += 1 |
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| 352 | col = format_cell.get_column_letter(current_col_number) |
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| 353 | |||
| 354 | if has_sub_maximums_data_flag: |
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| 355 | ws[col + str(current_row_number)].fill = table_fill |
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| 356 | ws[col + str(current_row_number)].font = title_font |
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| 357 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 358 | ws[col + str(current_row_number)].border = f_border |
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| 359 | ws[col + str(current_row_number)] = reporting_period_data['names'][i] + \ |
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| 360 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][ |
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| 361 | i] + "/H)" |
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| 362 | |||
| 363 | current_col_number += 1 |
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| 364 | col = format_cell.get_column_letter(current_col_number) |
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| 365 | |||
| 366 | current_row_number += 1 |
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| 367 | |||
| 368 | for i in range(0, len(time)): |
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| 369 | current_col_number = 2 |
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| 370 | col = format_cell.get_column_letter(current_col_number) |
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| 371 | ws[col + str(current_row_number)].font = title_font |
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| 372 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 373 | ws[col + str(current_row_number)].border = f_border |
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| 374 | ws[col + str(current_row_number)] = time[i] |
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| 375 | |||
| 376 | current_col_number = 3 |
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| 377 | col = format_cell.get_column_letter(current_col_number) |
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| 378 | for j in range(0, ca_len): |
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| 379 | |||
| 380 | if has_sub_averages_data_flag: |
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| 381 | ws[col + str(current_row_number)].font = title_font |
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| 382 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 383 | ws[col + str(current_row_number)].border = f_border |
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| 384 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_averages'][j][i], 2) \ |
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| 385 | if reporting_period_data['sub_averages'][j][i] is not None else None |
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| 386 | current_col_number += 1 |
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| 387 | col = format_cell.get_column_letter(current_col_number) |
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| 388 | |||
| 389 | if has_sub_maximums_data_flag: |
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| 390 | ws[col + str(current_row_number)].font = title_font |
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| 391 | ws[col + str(current_row_number)].alignment = c_c_alignment |
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| 392 | ws[col + str(current_row_number)].border = f_border |
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| 393 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_maximums'][j][i], 2) \ |
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| 394 | if reporting_period_data['sub_maximums'][j][i] is not None else None |
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| 395 | current_col_number += 1 |
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| 396 | col = format_cell.get_column_letter(current_col_number) |
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| 397 | |||
| 398 | current_row_number += 1 |
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| 399 | |||
| 400 | table_end_number = current_row_number - 1 |
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| 401 | |||
| 402 | current_chart_col_number = 3 |
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| 403 | current_chart_row_number = chart_start_number |
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| 404 | |||
| 405 | for i in range(0, ca_len): |
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| 406 | labels = Reference(ws, min_col=2, min_row=table_start_number + 1, max_row=table_end_number) |
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| 407 | |||
| 408 | if has_sub_averages_data_flag: |
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| 409 | line = LineChart() |
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| 410 | line.title = _('Reporting Period Average Load') + ' - ' \ |
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| 411 | + reporting_period_data['names'][i] + \ |
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| 412 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
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| 413 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
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| 414 | max_row=table_end_number) |
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| 415 | line.add_data(datas, titles_from_data=True) |
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| 416 | line.set_categories(labels) |
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| 417 | line_data = line.series[0] |
||
| 418 | line_data.marker.symbol = "circle" |
||
| 419 | line_data.smooth = True |
||
| 420 | line.x_axis.crosses = 'min' |
||
| 421 | line.height = 8.25 |
||
| 422 | line.width = 24 |
||
| 423 | line.dLbls = DataLabelList() |
||
| 424 | line.dLbls.dLblPos = 't' |
||
| 425 | line.dLbls.showVal = True |
||
| 426 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
| 427 | current_chart_row_number += 6 |
||
| 428 | current_chart_col_number += 1 |
||
| 429 | |||
| 430 | if has_sub_maximums_data_flag: |
||
| 431 | line = LineChart() |
||
| 432 | line.title = _('Reporting Period Maximum Load') + ' - ' \ |
||
| 433 | + reporting_period_data['names'][i] + \ |
||
| 434 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 435 | datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number, |
||
| 436 | max_row=table_end_number) |
||
| 437 | line.add_data(datas, titles_from_data=True) |
||
| 438 | line.set_categories(labels) |
||
| 439 | line_data = line.series[0] |
||
| 440 | line_data.marker.symbol = "circle" |
||
| 441 | line_data.smooth = True |
||
| 442 | line.x_axis.crosses = 'min' |
||
| 443 | line.height = 8.25 |
||
| 444 | line.width = 24 |
||
| 445 | line.dLbls = DataLabelList() |
||
| 446 | line.dLbls.dLblPos = 't' |
||
| 447 | line.dLbls.showVal = True |
||
| 448 | ws.add_chart(line, "B" + str(current_chart_row_number)) |
||
| 449 | current_chart_row_number += 6 |
||
| 450 | current_chart_col_number += 1 |
||
| 451 | |||
| 452 | current_row_number += 1 |
||
| 453 | |||
| 454 | else: |
||
| 455 | base_period_data = report['base_period'] |
||
| 456 | reporting_period_data = report['reporting_period'] |
||
| 457 | base_period_timestamps = base_period_data['timestamps'] |
||
| 458 | reporting_period_timestamps = reporting_period_data['timestamps'] |
||
| 459 | # Tip: |
||
| 460 | # base_period_data['names'] == reporting_period_data['names'] |
||
| 461 | # base_period_data['units'] == reporting_period_data['units'] |
||
| 462 | base_period_data_ca_len = len(base_period_data['names']) |
||
| 463 | reporting_period_data_ca_len = len(reporting_period_data['names']) |
||
| 464 | real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps']) |
||
| 465 | ws['B' + str(current_row_number)].font = title_font |
||
| 466 | ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data') |
||
| 467 | |||
| 468 | current_row_number += 1 |
||
| 469 | chart_start_number = current_row_number |
||
| 470 | |||
| 471 | # 1: Stand for blank line 2: Stand for title |
||
| 472 | current_row_number += real_timestamps_len * 6 + 1 + 2 |
||
| 473 | |||
| 474 | if has_sub_averages_data_flag: |
||
| 475 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
| 476 | |||
| 477 | if has_sub_maximums_data_flag: |
||
| 478 | current_row_number = (current_row_number + reporting_period_data_ca_len * 6) |
||
| 479 | |||
| 480 | table_start_row_number = current_row_number |
||
| 481 | |||
| 482 | has_data = False |
||
| 483 | |||
| 484 | if len(base_period_timestamps[0]) or len(reporting_period_timestamps[0]) > 0: |
||
| 485 | has_data = True |
||
| 486 | |||
| 487 | if has_data: |
||
| 488 | ws.row_dimensions[current_row_number].height = 60 |
||
| 489 | current_col_number = 2 |
||
| 490 | col = format_cell.get_column_letter(current_col_number) |
||
| 491 | ws[col + str(current_row_number)].fill = table_fill |
||
| 492 | ws[col + str(current_row_number)].font = title_font |
||
| 493 | ws[col + str(current_row_number)].border = f_border |
||
| 494 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 495 | ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime') |
||
| 496 | |||
| 497 | for i in range(0, base_period_data_ca_len): |
||
| 498 | if has_sub_averages_data_flag: |
||
| 499 | current_col_number += 1 |
||
| 500 | col = format_cell.get_column_letter(current_col_number) |
||
| 501 | |||
| 502 | ws[col + str(current_row_number)].fill = table_fill |
||
| 503 | ws[col + str(current_row_number)].font = title_font |
||
| 504 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 505 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
| 506 | + base_period_data['names'][i] + \ |
||
| 507 | " " + _('Average Load') + "(" + base_period_data['units'][ |
||
| 508 | i] + "/H)" |
||
| 509 | ws[col + str(current_row_number)].border = f_border |
||
| 510 | |||
| 511 | if has_sub_maximums_data_flag: |
||
| 512 | current_col_number += 1 |
||
| 513 | col = format_cell.get_column_letter(current_col_number) |
||
| 514 | |||
| 515 | ws[col + str(current_row_number)].fill = table_fill |
||
| 516 | ws[col + str(current_row_number)].font = title_font |
||
| 517 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 518 | ws[col + str(current_row_number)] = _('Base Period') + " - " \ |
||
| 519 | + base_period_data['names'][i] + \ |
||
| 520 | " " + _('Maximum Load') + "(" + base_period_data['units'][ |
||
| 521 | i] + "/H)" |
||
| 522 | ws[col + str(current_row_number)].border = f_border |
||
| 523 | |||
| 524 | current_col_number += 1 |
||
| 525 | col = format_cell.get_column_letter(current_col_number) |
||
| 526 | |||
| 527 | ws[col + str(current_row_number)].fill = table_fill |
||
| 528 | ws[col + str(current_row_number)].font = title_font |
||
| 529 | ws[col + str(current_row_number)].border = f_border |
||
| 530 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 531 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime') |
||
| 532 | |||
| 533 | for i in range(0, reporting_period_data_ca_len): |
||
| 534 | if has_sub_averages_data_flag: |
||
| 535 | current_col_number += 1 |
||
| 536 | col = format_cell.get_column_letter(current_col_number) |
||
| 537 | ws[col + str(current_row_number)].fill = table_fill |
||
| 538 | ws[col + str(current_row_number)].font = title_font |
||
| 539 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 540 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
| 541 | + reporting_period_data['names'][i] + \ |
||
| 542 | " " + _('Average Load') + "(" + \ |
||
| 543 | reporting_period_data['units'][i] + "/H)" |
||
| 544 | ws[col + str(current_row_number)].border = f_border |
||
| 545 | |||
| 546 | if has_sub_maximums_data_flag: |
||
| 547 | current_col_number += 1 |
||
| 548 | col = format_cell.get_column_letter(current_col_number) |
||
| 549 | ws[col + str(current_row_number)].fill = table_fill |
||
| 550 | ws[col + str(current_row_number)].font = title_font |
||
| 551 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 552 | ws[col + str(current_row_number)] = _('Reporting Period') + " - " \ |
||
| 553 | + reporting_period_data['names'][i] + \ |
||
| 554 | " " + _('Maximum Load') + "(" + \ |
||
| 555 | reporting_period_data['units'][i] + "/H)" |
||
| 556 | ws[col + str(current_row_number)].border = f_border |
||
| 557 | |||
| 558 | current_row_number += 1 |
||
| 559 | |||
| 560 | max_timestamps_len = len(base_period_timestamps[0]) \ |
||
| 561 | if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \ |
||
| 562 | else len(reporting_period_timestamps[0]) |
||
| 563 | |||
| 564 | for i in range(0, max_timestamps_len): |
||
| 565 | current_col_number = 2 |
||
| 566 | col = format_cell.get_column_letter(current_col_number) |
||
| 567 | ws[col + str(current_row_number)].font = title_font |
||
| 568 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 569 | ws[col + str(current_row_number)] = base_period_timestamps[0][i] \ |
||
| 570 | if i < len(base_period_timestamps[0]) else None |
||
| 571 | ws[col + str(current_row_number)].border = f_border |
||
| 572 | |||
| 573 | for j in range(0, base_period_data_ca_len): |
||
| 574 | if has_sub_averages_data_flag: |
||
| 575 | current_col_number += 1 |
||
| 576 | col = format_cell.get_column_letter(current_col_number) |
||
| 577 | |||
| 578 | ws[col + str(current_row_number)].font = title_font |
||
| 579 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 580 | ws[col + str(current_row_number)] = round(base_period_data['sub_averages'][j][i], 2) \ |
||
| 581 | if i < len(base_period_data['sub_averages'][j]) \ |
||
| 582 | and base_period_data['sub_averages'][j][i] is not None else None |
||
| 583 | ws[col + str(current_row_number)].border = f_border |
||
| 584 | |||
| 585 | if has_sub_maximums_data_flag: |
||
| 586 | current_col_number += 1 |
||
| 587 | col = format_cell.get_column_letter(current_col_number) |
||
| 588 | |||
| 589 | ws[col + str(current_row_number)].font = title_font |
||
| 590 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 591 | ws[col + str(current_row_number)] = round(base_period_data['sub_maximums'][j][i], 2) \ |
||
| 592 | if i < len(base_period_data['sub_maximums'][j]) \ |
||
| 593 | and base_period_data['sub_averages'][j][i] is not None else None |
||
| 594 | ws[col + str(current_row_number)].border = f_border |
||
| 595 | |||
| 596 | current_col_number += 1 |
||
| 597 | col = format_cell.get_column_letter(current_col_number) |
||
| 598 | |||
| 599 | ws[col + str(current_row_number)].font = title_font |
||
| 600 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 601 | ws[col + str(current_row_number)] = reporting_period_timestamps[0][i] \ |
||
| 602 | if i < len(reporting_period_timestamps[0]) else None |
||
| 603 | ws[col + str(current_row_number)].border = f_border |
||
| 604 | |||
| 605 | for j in range(0, reporting_period_data_ca_len): |
||
| 606 | if has_sub_averages_data_flag: |
||
| 607 | current_col_number += 1 |
||
| 608 | col = format_cell.get_column_letter(current_col_number) |
||
| 609 | |||
| 610 | ws[col + str(current_row_number)].font = title_font |
||
| 611 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 612 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_averages'][j][i], 2) \ |
||
| 613 | if i < len(reporting_period_data['sub_averages'][j]) \ |
||
| 614 | and reporting_period_data['sub_averages'][j][i] is not None else None |
||
| 615 | ws[col + str(current_row_number)].border = f_border |
||
| 616 | |||
| 617 | if has_sub_maximums_data_flag: |
||
| 618 | current_col_number += 1 |
||
| 619 | col = format_cell.get_column_letter(current_col_number) |
||
| 620 | |||
| 621 | ws[col + str(current_row_number)].font = title_font |
||
| 622 | ws[col + str(current_row_number)].alignment = c_c_alignment |
||
| 623 | ws[col + str(current_row_number)] = round(reporting_period_data['sub_maximums'][j][i], 2) \ |
||
| 624 | if i < len(reporting_period_data['sub_maximums'][j]) \ |
||
| 625 | and reporting_period_data['sub_maximums'][j][i] is not None else None |
||
| 626 | ws[col + str(current_row_number)].border = f_border |
||
| 627 | |||
| 628 | current_row_number += 1 |
||
| 629 | |||
| 630 | current_chart_col_number = 3 |
||
| 631 | current_chart_row_number = chart_start_number |
||
| 632 | |||
| 633 | for i in range(0, reporting_period_data_ca_len): |
||
| 634 | labels = Reference(ws, min_col=2 + base_period_data_ca_len * 2 + 1, |
||
| 635 | min_row=table_start_row_number + 1, |
||
| 636 | max_row=table_start_row_number + len(reporting_period_timestamps[0])) |
||
| 637 | |||
| 638 | if has_sub_averages_data_flag: |
||
| 639 | # line |
||
| 640 | line = LineChart() |
||
| 641 | line.title = _('Base Period Average Load') + ' / ' \ |
||
| 642 | + _('Reporting Period Average Load') + ' - ' \ |
||
| 643 | + reporting_period_data['names'][i] + \ |
||
| 644 | " " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 645 | base_line_data = Reference(ws, |
||
| 646 | min_col=current_chart_col_number, |
||
| 647 | min_row=table_start_row_number, |
||
| 648 | max_row=table_start_row_number |
||
| 649 | + len(reporting_period_timestamps[0])) |
||
| 650 | |||
| 651 | data_distance = base_period_data_ca_len |
||
| 652 | if has_sub_maximums_data_flag: |
||
| 653 | data_distance *= 2 |
||
| 654 | |||
| 655 | reporting_line_data = Reference(ws, |
||
| 656 | min_col=current_chart_col_number + data_distance + 1, |
||
| 657 | min_row=table_start_row_number, |
||
| 658 | max_row=table_start_row_number |
||
| 659 | + len(reporting_period_timestamps[0])) |
||
| 660 | line.add_data(base_line_data, titles_from_data=True) |
||
| 661 | line.add_data(reporting_line_data, titles_from_data=True) |
||
| 662 | line.set_categories(labels) |
||
| 663 | for j in range(len(line.series)): |
||
| 664 | line.series[j].marker.symbol = "circle" |
||
| 665 | line.series[j].smooth = True |
||
| 666 | line.x_axis.crosses = 'min' |
||
| 667 | line.height = 8.25 |
||
| 668 | line.width = 24 |
||
| 669 | line.dLbls = DataLabelList() |
||
| 670 | line.dLbls.dLblPos = 't' |
||
| 671 | line.dLbls.showVal = True |
||
| 672 | line.dLbls.showPercent = False |
||
| 673 | chart_col = 'B' |
||
| 674 | chart_cell = chart_col + str(current_chart_row_number) |
||
| 675 | ws.add_chart(line, chart_cell) |
||
| 676 | current_chart_row_number += 6 |
||
| 677 | current_chart_col_number += 1 |
||
| 678 | |||
| 679 | if has_sub_maximums_data_flag: |
||
| 680 | # line |
||
| 681 | line = LineChart() |
||
| 682 | line.title = _('Base Period Maximum Load') + ' / ' \ |
||
| 683 | + _('Reporting Period Maximum Load') + ' - ' \ |
||
| 684 | + reporting_period_data['names'][i] + \ |
||
| 685 | " " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)" |
||
| 686 | base_line_data = Reference(ws, |
||
| 687 | min_col=current_chart_col_number, |
||
| 688 | min_row=table_start_row_number, |
||
| 689 | max_row=table_start_row_number |
||
| 690 | + len(reporting_period_timestamps[0])) |
||
| 691 | |||
| 692 | data_distance = base_period_data_ca_len |
||
| 693 | if has_sub_averages_data_flag: |
||
| 694 | data_distance *= 2 |
||
| 695 | |||
| 696 | reporting_line_data = Reference(ws, |
||
| 697 | min_col=current_chart_col_number + data_distance + 1, |
||
| 698 | min_row=table_start_row_number, |
||
| 699 | max_row=table_start_row_number |
||
| 700 | + len(reporting_period_timestamps[0])) |
||
| 701 | line.add_data(base_line_data, titles_from_data=True) |
||
| 702 | line.add_data(reporting_line_data, titles_from_data=True) |
||
| 703 | line.set_categories(labels) |
||
| 704 | for j in range(len(line.series)): |
||
| 705 | line.series[j].marker.symbol = "circle" |
||
| 706 | line.series[j].smooth = True |
||
| 707 | line.x_axis.crosses = 'min' |
||
| 708 | line.height = 8.25 |
||
| 709 | line.width = 24 |
||
| 710 | line.dLbls = DataLabelList() |
||
| 711 | line.dLbls.dLblPos = 't' |
||
| 712 | line.dLbls.showVal = True |
||
| 713 | line.dLbls.showPercent = False |
||
| 714 | chart_col = 'B' |
||
| 715 | chart_cell = chart_col + str(current_chart_row_number) |
||
| 716 | ws.add_chart(line, chart_cell) |
||
| 717 | current_chart_row_number += 6 |
||
| 718 | current_chart_col_number += 1 |
||
| 719 | |||
| 720 | current_row_number += 1 |
||
| 721 | |||
| 722 | #################################################################################################################### |
||
| 723 | |||
| 724 | has_associated_equipment_flag = True |
||
| 725 | |||
| 726 | if "associated_equipment" not in report.keys() or \ |
||
| 727 | "energy_category_names" not in report['associated_equipment'].keys() or \ |
||
| 728 | len(report['associated_equipment']["energy_category_names"]) == 0 \ |
||
| 729 | or 'associated_equipment_names_array' not in report['associated_equipment'].keys() \ |
||
| 730 | or report['associated_equipment']['associated_equipment_names_array'] is None \ |
||
| 731 | or len(report['associated_equipment']['associated_equipment_names_array']) == 0 \ |
||
| 732 | or len(report['associated_equipment']['associated_equipment_names_array'][0]) == 0: |
||
| 733 | has_associated_equipment_flag = False |
||
| 734 | |||
| 735 | if has_associated_equipment_flag: |
||
| 736 | names = report['associated_equipment']['energy_category_names'] |
||
| 737 | associated_equipment = report['associated_equipment'] |
||
| 738 | |||
| 739 | ws['B' + str(current_row_number)].font = title_font |
||
| 740 | ws['B' + str(current_row_number)] = name + ' ' + _('Associated Equipment Data') |
||
| 741 | |||
| 742 | current_row_number += 1 |
||
| 743 | |||
| 744 | ws.row_dimensions[current_row_number].height = 60 |
||
| 745 | ws['B' + str(current_row_number)].fill = table_fill |
||
| 746 | ws['B' + str(current_row_number)].font = name_font |
||
| 747 | ws['B' + str(current_row_number)].alignment = c_c_alignment |
||
| 748 | ws['B' + str(current_row_number)].border = f_border |
||
| 749 | ws['B' + str(current_row_number)] = _('Associated Equipment') |
||
| 750 | ca_len = len(associated_equipment['energy_category_names']) |
||
| 751 | |||
| 752 | for i in range(0, ca_len): |
||
| 753 | col_average = chr(ord('C') + 2 * i) |
||
| 754 | col_maximum = chr(ord('D') + 2 * i) |
||
| 755 | |||
| 756 | ws[col_average + str(current_row_number)].font = name_font |
||
| 757 | ws[col_average + str(current_row_number)].alignment = c_c_alignment |
||
| 758 | ws[col_average + str(current_row_number)] = names[i] + " " + _('Average Load') + "(" + \ |
||
| 759 | associated_equipment['units'][i] + "/H)" |
||
| 760 | ws[col_average + str(current_row_number)].border = f_border |
||
| 761 | |||
| 762 | ws[col_maximum + str(current_row_number)].font = name_font |
||
| 763 | ws[col_maximum + str(current_row_number)].alignment = c_c_alignment |
||
| 764 | ws[col_maximum + str(current_row_number)] = names[i] + " " + _('Maximum Load') + "(" + \ |
||
| 765 | associated_equipment['units'][i] + "/H)" |
||
| 766 | ws[col_maximum + str(current_row_number)].border = f_border |
||
| 767 | |||
| 768 | # table_data |
||
| 769 | |||
| 770 | associated_equipment_len = len(associated_equipment['associated_equipment_names_array'][0]) |
||
| 771 | |||
| 772 | for j in range(0, associated_equipment_len): |
||
| 773 | current_row_number += 1 |
||
| 774 | rows = str(current_row_number) |
||
| 775 | |||
| 776 | ws['B' + rows].font = title_font |
||
| 777 | ws['B' + rows].alignment = c_c_alignment |
||
| 778 | ws['B' + rows] = associated_equipment['associated_equipment_names_array'][0][j] |
||
| 779 | ws['B' + rows].border = f_border |
||
| 780 | |||
| 781 | for index in range(0, ca_len): |
||
| 782 | col_average = chr(ord('C') + 2 * index) |
||
| 783 | col_maximum = chr(ord('D') + 2 * index) |
||
| 784 | |||
| 785 | ws[col_average + str(rows)].font = name_font |
||
| 786 | ws[col_average + str(rows)].alignment = c_c_alignment |
||
| 787 | ws[col_average + str(rows)] = associated_equipment['sub_averages_array'][index][j] \ |
||
| 788 | if associated_equipment['sub_averages_array'][index][j] is not None else '' |
||
| 789 | ws[col_average + str(rows)].number_format = '0.00' |
||
| 790 | ws[col_average + str(rows)].border = f_border |
||
| 791 | |||
| 792 | ws[col_maximum + str(rows)].font = name_font |
||
| 793 | ws[col_maximum + str(rows)].alignment = c_c_alignment |
||
| 794 | ws[col_maximum + str(rows)] = associated_equipment['sub_maximums_array'][index][j] \ |
||
| 795 | if associated_equipment['sub_maximums_array'][index][j] is not None else '' |
||
| 796 | ws[col_maximum + str(rows)].number_format = '0.00' |
||
| 797 | ws[col_maximum + str(rows)].border = f_border |
||
| 798 | |||
| 799 | #################################################################################################################### |
||
| 800 | current_sheet_parameters_row_number = current_chart_row_number + 1 |
||
| 801 | if 'parameters' not in report.keys() or \ |
||
| 802 | report['parameters'] is None or \ |
||
| 803 | 'names' not in report['parameters'].keys() or \ |
||
| 804 | report['parameters']['names'] is None or \ |
||
| 805 | len(report['parameters']['names']) == 0 or \ |
||
| 806 | 'timestamps' not in report['parameters'].keys() or \ |
||
| 807 | report['parameters']['timestamps'] is None or \ |
||
| 808 | len(report['parameters']['timestamps']) == 0 or \ |
||
| 809 | 'values' not in report['parameters'].keys() or \ |
||
| 810 | report['parameters']['values'] is None or \ |
||
| 811 | len(report['parameters']['values']) == 0 or \ |
||
| 812 | timestamps_data_all_equal_0(report['parameters']['timestamps']): |
||
| 813 | pass |
||
| 814 | else: |
||
| 815 | |||
| 816 | ################################################################################################################ |
||
| 817 | # new worksheet |
||
| 818 | ################################################################################################################ |
||
| 819 | |||
| 820 | parameters_data = report['parameters'] |
||
| 821 | parameters_names_len = len(parameters_data['names']) |
||
| 822 | |||
| 823 | file_name = (re.sub(r'[^A-Z]', '', ws.title))+'_' |
||
| 824 | parameters_ws = wb.create_sheet(file_name + _('Parameters')) |
||
| 825 | |||
| 826 | parameters_timestamps_data_max_len = \ |
||
| 827 | get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) |
||
| 828 | |||
| 829 | # Row height |
||
| 830 | parameters_ws.row_dimensions[1].height = 102 |
||
| 831 | for i in range(2, 7 + 1): |
||
| 832 | parameters_ws.row_dimensions[i].height = 42 |
||
| 833 | |||
| 834 | for i in range(8, parameters_timestamps_data_max_len + 10): |
||
| 835 | parameters_ws.row_dimensions[i].height = 60 |
||
| 836 | |||
| 837 | # Col width |
||
| 838 | parameters_ws.column_dimensions['A'].width = 1.5 |
||
| 839 | |||
| 840 | parameters_ws.column_dimensions['B'].width = 25.0 |
||
| 841 | |||
| 842 | for i in range(3, 12+parameters_names_len*3): |
||
| 843 | parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 |
||
| 844 | |||
| 845 | # Img |
||
| 846 | img = Image("excelexporters/myems.png") |
||
| 847 | parameters_ws.add_image(img, 'A1') |
||
| 848 | |||
| 849 | # Title |
||
| 850 | parameters_ws['B3'].alignment = b_r_alignment |
||
| 851 | parameters_ws['B3'] = _('Name') + ':' |
||
| 852 | parameters_ws['C3'].border = b_border |
||
| 853 | parameters_ws['C3'].alignment = b_c_alignment |
||
| 854 | parameters_ws['C3'] = name |
||
| 855 | |||
| 856 | parameters_ws['D3'].alignment = b_r_alignment |
||
| 857 | parameters_ws['D3'] = _('Period Type') + ':' |
||
| 858 | parameters_ws['E3'].border = b_border |
||
| 859 | parameters_ws['E3'].alignment = b_c_alignment |
||
| 860 | parameters_ws['E3'] = period_type |
||
| 861 | |||
| 862 | parameters_ws['B4'].alignment = b_r_alignment |
||
| 863 | parameters_ws['B4'] = _('Reporting Start Datetime') + ':' |
||
| 864 | parameters_ws['C4'].border = b_border |
||
| 865 | parameters_ws['C4'].alignment = b_c_alignment |
||
| 866 | parameters_ws['C4'] = reporting_start_datetime_local |
||
| 867 | |||
| 868 | parameters_ws['D4'].alignment = b_r_alignment |
||
| 869 | parameters_ws['D4'] = _('Reporting End Datetime') + ':' |
||
| 870 | parameters_ws['E4'].border = b_border |
||
| 871 | parameters_ws['E4'].alignment = b_c_alignment |
||
| 872 | parameters_ws['E4'] = reporting_end_datetime_local |
||
| 873 | |||
| 874 | parameters_ws_current_row_number = 6 |
||
| 875 | |||
| 876 | parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font |
||
| 877 | parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters') |
||
| 878 | |||
| 879 | parameters_ws_current_row_number += 1 |
||
| 880 | |||
| 881 | parameters_table_start_row_number = parameters_ws_current_row_number |
||
| 882 | |||
| 883 | parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 |
||
| 884 | |||
| 885 | parameters_ws_current_row_number += 1 |
||
| 886 | |||
| 887 | table_current_col_number = 2 |
||
| 888 | |||
| 889 | for i in range(0, parameters_names_len): |
||
| 890 | |||
| 891 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 892 | continue |
||
| 893 | |||
| 894 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 895 | |||
| 896 | parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill |
||
| 897 | parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border |
||
| 898 | |||
| 899 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 900 | |||
| 901 | parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill |
||
| 902 | parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border |
||
| 903 | parameters_ws[col + str(parameters_ws_current_row_number-1)].font = name_font |
||
| 904 | parameters_ws[col + str(parameters_ws_current_row_number-1)].alignment = c_c_alignment |
||
| 905 | parameters_ws[col + str(parameters_ws_current_row_number-1)] = parameters_data['names'][i] |
||
| 906 | |||
| 907 | table_current_row_number = parameters_ws_current_row_number |
||
| 908 | |||
| 909 | for j, value in enumerate(list(parameters_data['timestamps'][i])): |
||
| 910 | col = format_cell.get_column_letter(table_current_col_number) |
||
| 911 | |||
| 912 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 913 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 914 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 915 | parameters_ws[col + str(table_current_row_number)] = value |
||
| 916 | |||
| 917 | col = format_cell.get_column_letter(table_current_col_number + 1) |
||
| 918 | |||
| 919 | parameters_ws[col + str(table_current_row_number)].border = f_border |
||
| 920 | parameters_ws[col + str(table_current_row_number)].font = title_font |
||
| 921 | parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment |
||
| 922 | parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) |
||
| 923 | |||
| 924 | table_current_row_number += 1 |
||
| 925 | |||
| 926 | table_current_col_number = table_current_col_number + 3 |
||
| 927 | |||
| 928 | ################################################################################################################ |
||
| 929 | # parameters chart and parameters table |
||
| 930 | ################################################################################################################ |
||
| 931 | |||
| 932 | ws['B' + str(current_sheet_parameters_row_number)].font = title_font |
||
| 933 | ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters') |
||
| 934 | |||
| 935 | current_sheet_parameters_row_number += 1 |
||
| 936 | |||
| 937 | chart_start_row_number = current_sheet_parameters_row_number |
||
| 938 | |||
| 939 | col_index = 0 |
||
| 940 | |||
| 941 | for i in range(0, parameters_names_len): |
||
| 942 | |||
| 943 | if len(parameters_data['timestamps'][i]) == 0: |
||
| 944 | continue |
||
| 945 | |||
| 946 | line = LineChart() |
||
| 947 | data_col = 3+col_index*3 |
||
| 948 | labels_col = 2+col_index*3 |
||
| 949 | col_index += 1 |
||
| 950 | line.title = _('Parameters') + ' - ' + \ |
||
| 951 | parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value |
||
| 952 | labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, |
||
| 953 | max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number)) |
||
| 954 | line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, |
||
| 955 | max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number)) |
||
| 956 | line.add_data(line_data, titles_from_data=True) |
||
| 957 | line.set_categories(labels) |
||
| 958 | line_data = line.series[0] |
||
| 959 | line_data.marker.symbol = "circle" |
||
| 960 | line_data.smooth = True |
||
| 961 | line.x_axis.crosses = 'min' |
||
| 962 | line.height = 8.25 |
||
| 963 | line.width = 24 |
||
| 964 | line.dLbls = DataLabelList() |
||
| 965 | line.dLbls.dLblPos = 't' |
||
| 966 | line.dLbls.showVal = False |
||
| 967 | line.dLbls.showPercent = False |
||
| 968 | chart_col = 'B' |
||
| 969 | chart_cell = chart_col + str(chart_start_row_number) |
||
| 970 | chart_start_row_number += 6 |
||
| 971 | ws.add_chart(line, chart_cell) |
||
| 972 | |||
| 973 | current_sheet_parameters_row_number = chart_start_row_number |
||
| 974 | |||
| 975 | current_sheet_parameters_row_number += 1 |
||
| 976 | #################################################################################################################### |
||
| 977 | filename = str(uuid.uuid4()) + '.xlsx' |
||
| 978 | wb.save(filename) |
||
| 979 | |||
| 980 | return filename |
||
| 981 | |||
| 982 | |||
| 983 | def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): |
||
| 984 | max_len = 0 |
||
| 985 | for i, value in enumerate(list(parameters_timestamps_lists)): |
||
| 986 | if len(value) > max_len: |
||
| 987 | max_len = len(value) |
||
| 988 | |||
| 989 | return max_len |
||
| 990 | |||
| 991 | |||
| 992 | def timestamps_data_all_equal_0(lists): |
||
| 993 | for i, value in enumerate(list(lists)): |
||
| 994 | if len(value) > 0: |
||
| 995 | return False |
||
| 996 | |||
| 997 | return True |
||
| 998 | |||
| 999 | |||
| 1000 | def timestamps_data_not_equal_0(lists): |
||
| 1001 | number = 0 |
||
| 1002 | for i, value in enumerate(list(lists)): |
||
| 1003 | if len(value) > 0: |
||
| 1004 | number += 1 |
||
| 1005 | return number |
||
| 1006 | |||
| 1007 | |||
| 1008 | View Code Duplication | def is_base_period_timestamp_exists(base_period_data): |
|
| 1009 | timestamps = base_period_data['timestamps'] |
||
| 1010 | |||
| 1011 | if len(timestamps) == 0: |
||
| 1012 | return False |
||
| 1013 | |||
| 1014 | for timestamp in timestamps: |
||
| 1015 | if len(timestamp) > 0: |
||
| 1016 | return True |
||
| 1017 | |||
| 1018 | return False |
||
| 1019 |
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