import base64 import uuid import os from openpyxl.chart import LineChart, Reference from openpyxl.chart.label import DataLabelList from openpyxl.styles import PatternFill, Border, Side, Alignment, Font from openpyxl.drawing.image import Image from openpyxl import Workbook import openpyxl.utils.cell as format_cell ######################################################################################################################## # PROCEDURES # Step 1: Validate the report data # Step 2: Generate excel file # Step 3: Encode the excel file bytes to Base64 ######################################################################################################################## def export(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type): #################################################################################################################### # Step 1: Validate the report data #################################################################################################################### if report is None: return None print(report) #################################################################################################################### # Step 2: Generate excel file from the report data #################################################################################################################### filename = generate_excel(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type) #################################################################################################################### # Step 3: Encode the excel file to Base64 #################################################################################################################### binary_file_data = b'' try: with open(filename, 'rb') as binary_file: binary_file_data = binary_file.read() except IOError as ex: pass # Base64 encode the bytes base64_encoded_data = base64.b64encode(binary_file_data) # get the Base64 encoded data using human-readable characters. base64_message = base64_encoded_data.decode('utf-8') # delete the file from server try: os.remove(filename) except NotImplementedError as ex: pass return base64_message def generate_excel(report, name, reporting_start_datetime_local, reporting_end_datetime_local, period_type): wb = Workbook() ws = wb.active ws.title = "ShopFloorStatistics" # Row height ws.row_dimensions[1].height = 102 for i in range(2, 2000 + 1): ws.row_dimensions[i].height = 42 # Col width ws.column_dimensions['A'].width = 1.5 ws.column_dimensions['B'].width = 25.0 for i in range(ord('C'), ord('L')): ws.column_dimensions[chr(i)].width = 15.0 # Font name_font = Font(name='Arial', size=15, bold=True) title_font = Font(name='Arial', size=15, bold=True) table_fill = PatternFill(fill_type='solid', fgColor='1F497D') f_border = Border(left=Side(border_style='medium', color='00000000'), right=Side(border_style='medium', color='00000000'), bottom=Side(border_style='medium', color='00000000'), top=Side(border_style='medium', color='00000000') ) b_border = Border( bottom=Side(border_style='medium', color='00000000'), ) b_c_alignment = Alignment(vertical='bottom', horizontal='center', text_rotation=0, wrap_text=True, shrink_to_fit=False, indent=0) c_c_alignment = Alignment(vertical='center', horizontal='center', text_rotation=0, wrap_text=True, shrink_to_fit=False, indent=0) b_r_alignment = Alignment(vertical='bottom', horizontal='right', text_rotation=0, wrap_text=True, shrink_to_fit=False, indent=0) # Img img = Image("excelexporters/myems.png") ws.add_image(img, 'A1') # Title ws['B3'].font = name_font ws['B3'].alignment = b_r_alignment ws['B3'] = 'Name:' ws['C3'].border = b_border ws['C3'].alignment = b_c_alignment ws['C3'].font = name_font ws['C3'] = name ws['D3'].font = name_font ws['D3'].alignment = b_r_alignment ws['D3'] = 'Period:' ws['E3'].border = b_border ws['E3'].alignment = b_c_alignment ws['E3'].font = name_font ws['E3'] = period_type ws['F3'].font = name_font ws['F3'].alignment = b_r_alignment ws['F3'] = 'Date:' ws['G3'].border = b_border ws['G3'].alignment = b_c_alignment ws['G3'].font = name_font ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local ws.merge_cells("G3:H3") if "reporting_period" not in report.keys() or \ "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0: filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) return filename #################################################################################################################### # First: Statistics # 6: title # 7: table title # 8~ca_len table_data #################################################################################################################### reporting_period_data = report['reporting_period'] if "names" not in reporting_period_data.keys() or \ reporting_period_data['names'] is None or \ len(reporting_period_data['names']) == 0: filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) return filename ws['B6'].font = title_font ws['B6'] = name + ' ' + 'Statistics' category = reporting_period_data['names'] # table_title ws['B7'].fill = table_fill ws['B7'].font = title_font ws['B7'].alignment = c_c_alignment ws['B7'] = 'Reporting Period' ws['B7'].border = f_border ws['C7'].font = title_font ws['C7'].alignment = c_c_alignment ws['C7'] = 'Arithmetic Mean' ws['C7'].border = f_border ws['D7'].font = title_font ws['D7'].alignment = c_c_alignment ws['D7'] = 'Median (Middle Value)' ws['D7'].border = f_border ws['E7'].font = title_font ws['E7'].alignment = c_c_alignment ws['E7'] = 'Minimum Value' ws['E7'].border = f_border ws['F7'].font = title_font ws['F7'].alignment = c_c_alignment ws['F7'] = 'Maximum Value' ws['F7'].border = f_border ws['G7'].font = title_font ws['G7'].alignment = c_c_alignment ws['G7'] = 'Sample Standard Deviation' ws['G7'].border = f_border ws['H7'].font = title_font ws['H7'].alignment = c_c_alignment ws['H7'] = 'Sample Variance' ws['H7'].border = f_border # table_data for i, value in enumerate(category): row = i*2 + 8 ws['B' + str(row)].font = name_font ws['B' + str(row)].alignment = c_c_alignment ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )" ws['B' + str(row)].border = f_border ws['B' + str(row + 1)].font = name_font ws['B' + str(row + 1)].alignment = c_c_alignment ws['B' + str(row + 1)] = 'Increment Rate' ws['B' + str(row + 1)].border = f_border ws['C' + str(row)].font = name_font ws['C' + str(row)].alignment = c_c_alignment ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \ if reporting_period_data['means'][i] is not None else '' ws['C' + str(row)].border = f_border ws['C' + str(row)].number_format = '0.00' ws['C' + str(row + 1)].font = name_font ws['C' + str(row + 1)].alignment = c_c_alignment ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \ if reporting_period_data['means_increment_rate'][i] is not None else '0.00%' ws['C' + str(row + 1)].border = f_border ws['D' + str(row)].font = name_font ws['D' + str(row)].alignment = c_c_alignment ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \ if reporting_period_data['medians'][i] is not None else '' ws['D' + str(row)].border = f_border ws['D' + str(row)].number_format = '0.00' ws['D' + str(row + 1)].font = name_font ws['D' + str(row + 1)].alignment = c_c_alignment ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \ if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%' ws['D' + str(row + 1)].border = f_border ws['E' + str(row)].font = name_font ws['E' + str(row)].alignment = c_c_alignment ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \ if reporting_period_data['minimums'][i] is not None else '' ws['E' + str(row)].border = f_border ws['E' + str(row)].number_format = '0.00' ws['E' + str(row + 1)].font = name_font ws['E' + str(row + 1)].alignment = c_c_alignment ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \ if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%' ws['E' + str(row + 1)].border = f_border ws['F' + str(row)].font = name_font ws['F' + str(row)].alignment = c_c_alignment ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \ if reporting_period_data['maximums'][i] is not None else '' ws['F' + str(row)].border = f_border ws['F' + str(row)].number_format = '0.00' ws['F' + str(row + 1)].font = name_font ws['F' + str(row + 1)].alignment = c_c_alignment ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \ if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%' ws['F' + str(row + 1)].border = f_border ws['G' + str(row)].font = name_font ws['G' + str(row)].alignment = c_c_alignment ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \ if reporting_period_data['stdevs'][i] is not None else '' ws['G' + str(row)].border = f_border ws['G' + str(row)].number_format = '0.00' ws['G' + str(row + 1)].font = name_font ws['G' + str(row + 1)].alignment = c_c_alignment ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \ if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%' ws['G' + str(row + 1)].border = f_border ws['H' + str(row)].font = name_font ws['H' + str(row)].alignment = c_c_alignment ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \ if reporting_period_data['variances'][i] is not None else '' ws['H' + str(row)].border = f_border ws['H' + str(row)].number_format = '0.00' ws['H' + str(row + 1)].font = name_font ws['H' + str(row + 1)].alignment = c_c_alignment ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \ if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%' ws['H' + str(row + 1)].border = f_border #################################################################################################################### # Second: Reporting Period Consumption # 9 + ca_len * 2: title # 10 + ca_len * 2: table title # per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data #################################################################################################################### names = reporting_period_data['names'] ca_len = len(names) per_unit_area_start_row_number = 9 + ca_len * 2 ws['B' + str(per_unit_area_start_row_number)].font = title_font ws['B' + str(per_unit_area_start_row_number)] = name + ' ' + 'Per Unit Area' + str(report['shopfloor']['area']) + \ 'M²' category = reporting_period_data['names'] # table_title ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['B' + str(per_unit_area_start_row_number + 1)] = 'Reporting Period' ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['C' + str(per_unit_area_start_row_number + 1)] = 'Arithmetic Mean' ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['D' + str(per_unit_area_start_row_number + 1)] = 'Median (Middle Value)' ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border ws['E' + str(per_unit_area_start_row_number + 1)].font = title_font ws['E' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['E' + str(per_unit_area_start_row_number + 1)] = 'Minimum Value' ws['E' + str(per_unit_area_start_row_number + 1)].border = f_border ws['F' + str(per_unit_area_start_row_number + 1)].font = title_font ws['F' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['F' + str(per_unit_area_start_row_number + 1)] = 'Maximum Value' ws['F' + str(per_unit_area_start_row_number + 1)].border = f_border ws['G' + str(per_unit_area_start_row_number + 1)].font = title_font ws['G' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['G' + str(per_unit_area_start_row_number + 1)] = 'Sample Standard Deviation' ws['G' + str(per_unit_area_start_row_number + 1)].border = f_border ws['H' + str(per_unit_area_start_row_number + 1)].font = title_font ws['H' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment ws['H' + str(per_unit_area_start_row_number + 1)] = 'Sample Variance' ws['H' + str(per_unit_area_start_row_number + 1)].border = f_border # table_data for i, value in enumerate(category): row_data = per_unit_area_start_row_number + 2 + i ws['B' + str(row_data)].font = name_font ws['B' + str(row_data)].alignment = c_c_alignment ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][ i] + "/M²)" ws['B' + str(row_data)].border = f_border ws['C' + str(row_data)].font = name_font ws['C' + str(row_data)].alignment = c_c_alignment if reporting_period_data['means_per_unit_area'][i] \ or reporting_period_data['means_per_unit_area'][i] == 0: ws['C' + str(row_data)] = round(reporting_period_data['means_per_unit_area'][i], 2) ws['C' + str(row_data)].border = f_border ws['C' + str(row_data)].number_format = '0.00' ws['D' + str(row_data)].font = name_font ws['D' + str(row_data)].alignment = c_c_alignment if reporting_period_data['medians_per_unit_area'][i] \ or reporting_period_data['medians_per_unit_area'][i] == 0: ws['D' + str(row_data)] = round(reporting_period_data['medians_per_unit_area'][i], 2) ws['D' + str(row_data)].border = f_border ws['D' + str(row_data)].number_format = '0.00' ws['E' + str(row_data)].font = name_font ws['E' + str(row_data)].alignment = c_c_alignment if reporting_period_data['minimums_per_unit_area'][i] \ or reporting_period_data['minimums_per_unit_area'][i] == 0: ws['E' + str(row_data)] = round(reporting_period_data['minimums_per_unit_area'][i], 2) ws['E' + str(row_data)].border = f_border ws['E' + str(row_data)].number_format = '0.00' ws['F' + str(row_data)].font = name_font ws['F' + str(row_data)].alignment = c_c_alignment if reporting_period_data['maximums_per_unit_area'][i] \ or reporting_period_data['maximums_per_unit_area'][i] == 0: ws['F' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2) ws['F' + str(row_data)].border = f_border ws['F' + str(row_data)].number_format = '0.00' ws['G' + str(row_data)].font = name_font ws['G' + str(row_data)].alignment = c_c_alignment if (reporting_period_data['stdevs_per_unit_area'][i]) \ or reporting_period_data['stdevs_per_unit_area'][i] == 0: ws['G' + str(row_data)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2) ws['G' + str(row_data)].border = f_border ws['G' + str(row_data)].number_format = '0.00' ws['H' + str(row_data)].font = name_font ws['H' + str(row_data)].alignment = c_c_alignment if reporting_period_data['variances_per_unit_area'][i] \ or reporting_period_data['variances_per_unit_area'][i] == 0: ws['H' + str(row_data)] = round(reporting_period_data['variances_per_unit_area'][i], 2) ws['H' + str(row_data)].border = f_border ws['H' + str(row_data)].number_format = '0.00' #################################################################################################################### # Third: Detailed Data # detailed_start_row_number~ detailed_start_row_number+time_len: line # detailed_start_row_number+1: table title # i + analysis_end_row_number + 2 + 6 * ca_len~: table_data #################################################################################################################### has_timestamps_flag = True if "timestamps" not in reporting_period_data.keys() or \ reporting_period_data['timestamps'] is None or \ len(reporting_period_data['timestamps']) == 0: has_timestamps_flag = False timestamps = reporting_period_data['timestamps'][0] names = reporting_period_data['names'] ca_len = len(names) time_len = len(timestamps) parameters_names_len = len(report['parameters']['names']) parameters_parameters_datas_len = 0 analysis_end_row_number = 12 + 3 * ca_len current_row_number = analysis_end_row_number values = reporting_period_data['values'] if has_timestamps_flag: for i in range(0, parameters_names_len): if len(report['parameters']['timestamps'][i]) == 0: continue parameters_parameters_datas_len += 1 detail_data_table_start_row_number = current_row_number + (ca_len + parameters_parameters_datas_len) * 6 + 2 ws['B' + str(current_row_number)].font = title_font ws['B' + str(current_row_number)] = name + ' ' + 'Detailed Data' # table_title ws['B' + str(detail_data_table_start_row_number)].fill = table_fill ws['B' + str(detail_data_table_start_row_number)].font = name_font ws['B' + str(detail_data_table_start_row_number)].alignment = c_c_alignment ws['B' + str(detail_data_table_start_row_number)] = 'Datetime' ws['B' + str(detail_data_table_start_row_number)].border = f_border for i in range(0, ca_len): col = chr(ord('C') + i) ws[col + str(detail_data_table_start_row_number)].font = name_font ws[col + str(detail_data_table_start_row_number)].alignment = c_c_alignment ws[col + str(detail_data_table_start_row_number)] = \ names[i] + " - (" + reporting_period_data['units'][i] + ")" ws[col + str(detail_data_table_start_row_number)].border = f_border # table_date for i in range(0, time_len): rows = i + detail_data_table_start_row_number + 1 ws['B' + str(rows)].font = name_font ws['B' + str(rows)].alignment = c_c_alignment ws['B' + str(rows)] = timestamps[i] ws['B' + str(rows)].border = f_border for index in range(0, ca_len): col = chr(ord('C') + index) ws[col + str(rows)].font = name_font ws[col + str(rows)].alignment = c_c_alignment ws[col + str(rows)] = round(values[index][i], 2) ws[col + str(rows)].number_format = '0.00' ws[col + str(rows)].border = f_border # Subtotal row_subtotals = detail_data_table_start_row_number + 1 + time_len ws['B' + str(row_subtotals)].font = name_font ws['B' + str(row_subtotals)].alignment = c_c_alignment ws['B' + str(row_subtotals)] = 'Subtotal' ws['B' + str(row_subtotals)].border = f_border for i in range(0, ca_len): col = chr(ord('C') + i) ws[col + str(row_subtotals)].font = name_font ws[col + str(row_subtotals)].alignment = c_c_alignment ws[col + str(row_subtotals)] = round(reporting_period_data['subtotals'][i], 2) ws[col + str(row_subtotals)].border = f_border ws[col + str(row_subtotals)].number_format = '0.00' #################################################################################################################### # third: LineChart # LineChart requires data from the detailed data table in the Excel file # so print the detailed data table first and then print LineChart #################################################################################################################### for i in range(0, ca_len): line = LineChart() line.title = "Reporting Period Consumption" + " - " + names[i] + \ "(" + reporting_period_data['units'][i] + ")" line.style = 10 line.x_axis.majorTickMark = 'in' line.y_axis.majorTickMark = 'in' line.smooth = True line.x_axis.crosses = 'min' line.height = 8.25 line.width = 24 line.dLbls = DataLabelList() line.dLbls.dLblPos = 't' line.dLbls.showVal = True times = Reference(ws, min_col=2, min_row=detail_data_table_start_row_number + 1, max_row=detail_data_table_start_row_number + 1 + time_len) line_data = Reference(ws, min_col=3 + i, min_row=detail_data_table_start_row_number, max_row=detail_data_table_start_row_number + time_len) line.add_data(line_data, titles_from_data=True) line.set_categories(times) ser = line.series[0] ser.marker.symbol = "diamond" chart_col = 'B' chart_cell = str(analysis_end_row_number + 6 * i) ws.add_chart(line, chart_col + chart_cell) #################################################################################################################### has_parameters_names_and_timestamps_and_values_data = True ca_len = len(report['reporting_period']['names']) current_sheet_parameters_row_number = current_row_number + ca_len * 6 if 'parameters' not in report.keys() or \ report['parameters'] is None or \ 'names' not in report['parameters'].keys() or \ report['parameters']['names'] is None or \ len(report['parameters']['names']) == 0 or \ 'timestamps' not in report['parameters'].keys() or \ report['parameters']['timestamps'] is None or \ len(report['parameters']['timestamps']) == 0 or \ 'values' not in report['parameters'].keys() or \ report['parameters']['values'] is None or \ len(report['parameters']['values']) == 0 or \ timestamps_data_all_equal_0(report['parameters']['timestamps']): has_parameters_names_and_timestamps_and_values_data = False if has_parameters_names_and_timestamps_and_values_data: ################################################################################################################ # new worksheet ################################################################################################################ parameters_data = report['parameters'] parameters_names_len = len(parameters_data['names']) file_name = __file__.split('/')[-1].replace(".py", "") parameters_ws = wb.create_sheet(file_name + 'Parameters') parameters_timestamps_data_max_len = \ get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps'])) # Row height parameters_ws.row_dimensions[1].height = 102 for i in range(2, 7 + 1): parameters_ws.row_dimensions[i].height = 42 for i in range(8, parameters_timestamps_data_max_len + 10): parameters_ws.row_dimensions[i].height = 60 # Col width parameters_ws.column_dimensions['A'].width = 1.5 parameters_ws.column_dimensions['B'].width = 25.0 for i in range(3, 12 + parameters_names_len * 3): parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0 # Img img = Image("excelexporters/myems.png") parameters_ws.add_image(img, 'A1') # Title parameters_ws.row_dimensions[3].height = 60 parameters_ws['B3'].font = name_font parameters_ws['B3'].alignment = b_r_alignment parameters_ws['B3'] = 'Name:' parameters_ws['C3'].border = b_border parameters_ws['C3'].alignment = b_c_alignment parameters_ws['C3'].font = name_font parameters_ws['C3'] = name parameters_ws['D3'].font = name_font parameters_ws['D3'].alignment = b_r_alignment parameters_ws['D3'] = 'Period:' parameters_ws['E3'].border = b_border parameters_ws['E3'].alignment = b_c_alignment parameters_ws['E3'].font = name_font parameters_ws['E3'] = period_type parameters_ws['F3'].font = name_font parameters_ws['F3'].alignment = b_r_alignment parameters_ws['F3'] = 'Date:' parameters_ws['G3'].border = b_border parameters_ws['G3'].alignment = b_c_alignment parameters_ws['G3'].font = name_font parameters_ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local parameters_ws.merge_cells("G3:H3") parameters_ws_current_row_number = 6 parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + 'Parameters' parameters_ws_current_row_number += 1 parameters_table_start_row_number = parameters_ws_current_row_number parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80 parameters_ws_current_row_number += 1 table_current_col_number = 2 for i in range(0, parameters_names_len): if len(parameters_data['timestamps'][i]) == 0: continue col = format_cell.get_column_letter(table_current_col_number) parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border col = format_cell.get_column_letter(table_current_col_number + 1) parameters_ws[col + str(parameters_ws_current_row_number - 1)].fill = table_fill parameters_ws[col + str(parameters_ws_current_row_number - 1)].border = f_border parameters_ws[col + str(parameters_ws_current_row_number - 1)].font = name_font parameters_ws[col + str(parameters_ws_current_row_number - 1)].alignment = c_c_alignment parameters_ws[col + str(parameters_ws_current_row_number - 1)] = parameters_data['names'][i] table_current_row_number = parameters_ws_current_row_number for j, value in enumerate(list(parameters_data['timestamps'][i])): col = format_cell.get_column_letter(table_current_col_number) parameters_ws[col + str(table_current_row_number)].border = f_border parameters_ws[col + str(table_current_row_number)].font = title_font parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment parameters_ws[col + str(table_current_row_number)] = value col = format_cell.get_column_letter(table_current_col_number + 1) parameters_ws[col + str(table_current_row_number)].border = f_border parameters_ws[col + str(table_current_row_number)].font = title_font parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment parameters_ws[col + str(table_current_row_number)] = round(parameters_data['values'][i][j], 2) table_current_row_number += 1 table_current_col_number = table_current_col_number + 3 ################################################################################################################ # parameters chart and parameters table ################################################################################################################ ws['B' + str(current_sheet_parameters_row_number)].font = title_font ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + 'Parameters' current_sheet_parameters_row_number += 1 chart_start_row_number = current_sheet_parameters_row_number col_index = 0 for i in range(0, parameters_names_len): if len(parameters_data['timestamps'][i]) == 0: continue line = LineChart() data_col = 3 + col_index * 3 labels_col = 2 + col_index * 3 col_index += 1 line.title = 'Parameters - ' + \ parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1, max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number, max_row=(len(parameters_data['timestamps'][i]) + parameters_table_start_row_number)) line.add_data(line_data, titles_from_data=True) line.set_categories(labels) line_data = line.series[0] line_data.marker.symbol = "circle" line_data.smooth = True line.x_axis.crosses = 'min' line.height = 8.25 line.width = 24 line.dLbls = DataLabelList() line.dLbls.dLblPos = 't' line.dLbls.showVal = False line.dLbls.showPercent = False chart_col = 'B' chart_cell = chart_col + str(chart_start_row_number) chart_start_row_number += 6 ws.add_chart(line, chart_cell) current_sheet_parameters_row_number = chart_start_row_number current_sheet_parameters_row_number += 1 filename = str(uuid.uuid4()) + '.xlsx' wb.save(filename) return filename def column_to_decimal(string='A'): num = 0 for index, key in enumerate(string[::-1]): num += (ord(key) - 64) * (26 ** index) return num + 64 def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists): max_len = 0 for i, value in enumerate(list(parameters_timestamps_lists)): if len(value) > max_len: max_len = len(value) return max_len def timestamps_data_all_equal_0(lists): for i, value in enumerate(list(lists)): if len(value) > 0: return False return True