728 lines
32 KiB
Python
728 lines
32 KiB
Python
import base64
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import os
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import uuid
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from openpyxl import Workbook
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from openpyxl.chart import LineChart, Reference
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from openpyxl.chart.label import DataLabelList
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from openpyxl.drawing.image import Image
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from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
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import openpyxl.utils.cell as format_cell
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########################################################################################################################
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# PROCEDURES
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# Step 1: Validate the report data
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# Step 2: Generate excel file
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# Step 3: Encode the excel file bytes to Base64
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########################################################################################################################
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def export(report,
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name,
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reporting_start_datetime_local,
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reporting_end_datetime_local,
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period_type):
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####################################################################################################################
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# Step 1: Validate the report data
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####################################################################################################################
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if report is None:
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return None
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print(report)
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####################################################################################################################
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# Step 2: Generate excel file from the report data
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####################################################################################################################
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filename = generate_excel(report,
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name,
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reporting_start_datetime_local,
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reporting_end_datetime_local,
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period_type)
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####################################################################################################################
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# Step 3: Encode the excel file to Base64
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####################################################################################################################
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binary_file_data = b''
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try:
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with open(filename, 'rb') as binary_file:
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binary_file_data = binary_file.read()
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except IOError as ex:
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pass
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# Base64 encode the bytes
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base64_encoded_data = base64.b64encode(binary_file_data)
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# get the Base64 encoded data using human-readable characters.
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base64_message = base64_encoded_data.decode('utf-8')
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# delete the file from server
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try:
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os.remove(filename)
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except NotImplementedError as ex:
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pass
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return base64_message
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def generate_excel(report,
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name,
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reporting_start_datetime_local,
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reporting_end_datetime_local,
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period_type):
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wb = Workbook()
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ws = wb.active
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ws.title = "StoreStatistics"
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# Row height
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ws.row_dimensions[1].height = 102
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for i in range(2, 2000 + 1):
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ws.row_dimensions[i].height = 42
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# Col width
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ws.column_dimensions['A'].width = 1.5
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ws.column_dimensions['B'].width = 25.0
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for i in range(ord('C'), ord('L')):
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ws.column_dimensions[chr(i)].width = 15.0
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# Font
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name_font = Font(name='Arial', size=15, bold=True)
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title_font = Font(name='Arial', size=15, bold=True)
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table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
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f_border = Border(left=Side(border_style='medium', color='00000000'),
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right=Side(border_style='medium', color='00000000'),
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bottom=Side(border_style='medium', color='00000000'),
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top=Side(border_style='medium', color='00000000')
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)
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b_border = Border(
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bottom=Side(border_style='medium', color='00000000'),
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)
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b_c_alignment = Alignment(vertical='bottom',
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horizontal='center',
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text_rotation=0,
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wrap_text=True,
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shrink_to_fit=False,
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indent=0)
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c_c_alignment = Alignment(vertical='center',
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horizontal='center',
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text_rotation=0,
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wrap_text=True,
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shrink_to_fit=False,
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indent=0)
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b_r_alignment = Alignment(vertical='bottom',
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horizontal='right',
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text_rotation=0,
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wrap_text=True,
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shrink_to_fit=False,
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indent=0)
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# Img
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img = Image("excelexporters/myems.png")
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ws.add_image(img, 'A1')
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# Title
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ws['B3'].alignment = b_r_alignment
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ws['B3'] = 'Name:'
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ws['C3'].border = b_border
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ws['C3'].alignment = b_c_alignment
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ws['C3'] = name
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ws['D3'].alignment = b_r_alignment
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ws['D3'] = 'Period:'
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ws['E3'].border = b_border
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ws['E3'].alignment = b_c_alignment
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ws['E3'] = period_type
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ws['B4'].alignment = b_r_alignment
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ws['B4'] = 'Reporting Start Datetime:'
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ws['C4'].border = b_border
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ws['C4'].alignment = b_c_alignment
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ws['C4'] = reporting_start_datetime_local
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ws['D4'].alignment = b_r_alignment
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ws['D4'] = 'Reporting End Datetime:'
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ws['E4'].border = b_border
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ws['E4'].alignment = b_c_alignment
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ws['E4'] = reporting_end_datetime_local
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if "reporting_period" not in report.keys() or \
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"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
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filename = str(uuid.uuid4()) + '.xlsx'
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wb.save(filename)
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return filename
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####################################################################################################################
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# First: Statistics
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# 6: title
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# 7: table title
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# 8~ca_len table_data
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####################################################################################################################
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reporting_period_data = report['reporting_period']
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if "names" not in reporting_period_data.keys() or \
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reporting_period_data['names'] is None or \
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len(reporting_period_data['names']) == 0:
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filename = str(uuid.uuid4()) + '.xlsx'
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wb.save(filename)
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return filename
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ws['B6'].font = title_font
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ws['B6'] = name + ' ' + 'Statistics'
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category = reporting_period_data['names']
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# table_title
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ws['B7'].fill = table_fill
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ws['B7'].font = title_font
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ws['B7'].alignment = c_c_alignment
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ws['B7'] = 'Reporting Period'
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ws['B7'].border = f_border
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ws['C7'].font = title_font
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ws['C7'].alignment = c_c_alignment
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ws['C7'] = 'Arithmetic Mean'
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ws['C7'].border = f_border
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ws['D7'].font = title_font
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ws['D7'].alignment = c_c_alignment
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ws['D7'] = 'Median (Middle Value)'
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ws['D7'].border = f_border
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ws['E7'].font = title_font
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ws['E7'].alignment = c_c_alignment
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ws['E7'] = 'Minimum Value'
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ws['E7'].border = f_border
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ws['F7'].font = title_font
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ws['F7'].alignment = c_c_alignment
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ws['F7'] = 'Maximum Value'
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ws['F7'].border = f_border
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ws['G7'].font = title_font
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ws['G7'].alignment = c_c_alignment
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ws['G7'] = 'Sample Standard Deviation'
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ws['G7'].border = f_border
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ws['H7'].font = title_font
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ws['H7'].alignment = c_c_alignment
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ws['H7'] = 'Sample Variance'
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ws['H7'].border = f_border
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# table_data
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for i, value in enumerate(category):
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row = i * 2 + 8
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ws['B' + str(row)].font = name_font
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ws['B' + str(row)].alignment = c_c_alignment
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ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )"
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ws['B' + str(row)].border = f_border
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ws['B' + str(row + 1)].font = name_font
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ws['B' + str(row + 1)].alignment = c_c_alignment
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ws['B' + str(row + 1)] = 'Increment Rate'
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ws['B' + str(row + 1)].border = f_border
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ws['C' + str(row)].font = name_font
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ws['C' + str(row)].alignment = c_c_alignment
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ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \
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if reporting_period_data['means'][i] is not None else ''
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ws['C' + str(row)].border = f_border
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ws['C' + str(row)].number_format = '0.00'
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ws['C' + str(row + 1)].font = name_font
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ws['C' + str(row + 1)].alignment = c_c_alignment
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ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['means_increment_rate'][i] is not None else '0.00%'
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ws['C' + str(row + 1)].border = f_border
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ws['D' + str(row)].font = name_font
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ws['D' + str(row)].alignment = c_c_alignment
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ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \
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if reporting_period_data['medians'][i] is not None else ''
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ws['D' + str(row)].border = f_border
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ws['D' + str(row)].number_format = '0.00'
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ws['D' + str(row + 1)].font = name_font
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ws['D' + str(row + 1)].alignment = c_c_alignment
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ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%'
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ws['D' + str(row + 1)].border = f_border
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ws['E' + str(row)].font = name_font
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ws['E' + str(row)].alignment = c_c_alignment
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ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \
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if reporting_period_data['minimums'][i] is not None else ''
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ws['E' + str(row)].border = f_border
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ws['E' + str(row)].number_format = '0.00'
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ws['E' + str(row + 1)].font = name_font
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ws['E' + str(row + 1)].alignment = c_c_alignment
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ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%'
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ws['E' + str(row + 1)].border = f_border
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ws['F' + str(row)].font = name_font
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ws['F' + str(row)].alignment = c_c_alignment
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ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \
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if reporting_period_data['maximums'][i] is not None else ''
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ws['F' + str(row)].border = f_border
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ws['F' + str(row)].number_format = '0.00'
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ws['F' + str(row + 1)].font = name_font
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ws['F' + str(row + 1)].alignment = c_c_alignment
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ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%'
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ws['F' + str(row + 1)].border = f_border
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ws['G' + str(row)].font = name_font
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ws['G' + str(row)].alignment = c_c_alignment
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ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \
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if reporting_period_data['stdevs'][i] is not None else ''
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ws['G' + str(row)].border = f_border
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ws['G' + str(row)].number_format = '0.00'
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ws['G' + str(row + 1)].font = name_font
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ws['G' + str(row + 1)].alignment = c_c_alignment
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ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%'
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ws['G' + str(row + 1)].border = f_border
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ws['H' + str(row)].font = name_font
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ws['H' + str(row)].alignment = c_c_alignment
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ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \
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if reporting_period_data['variances'][i] is not None else ''
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ws['H' + str(row)].border = f_border
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ws['H' + str(row)].number_format = '0.00'
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ws['H' + str(row + 1)].font = name_font
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ws['H' + str(row + 1)].alignment = c_c_alignment
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ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%'
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ws['H' + str(row + 1)].border = f_border
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####################################################################################################################
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# Second: Reporting Period Consumption
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# 9 + ca_len * 2: title
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# 10 + ca_len * 2: table title
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# per_unit_area_start_row_number + 2 ~ per_unit_area_start_row_number + 2 + ca_len : table_data
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####################################################################################################################
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names = reporting_period_data['names']
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ca_len = len(names)
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per_unit_area_start_row_number = 9 + ca_len * 2
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ws['B' + str(per_unit_area_start_row_number)].font = title_font
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ws['B' + str(per_unit_area_start_row_number)] = name + ' ' + 'Per Unit Area' + str(report['store']['area']) + 'M²'
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category = reporting_period_data['names']
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# table_title
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ws['B' + str(per_unit_area_start_row_number + 1)].fill = table_fill
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ws['B' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['B' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['B' + str(per_unit_area_start_row_number + 1)] = 'Reporting Period'
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ws['B' + str(per_unit_area_start_row_number + 1)].border = f_border
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ws['C' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['C' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['C' + str(per_unit_area_start_row_number + 1)] = 'Arithmetic Mean'
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ws['C' + str(per_unit_area_start_row_number + 1)].border = f_border
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ws['D' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['D' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['D' + str(per_unit_area_start_row_number + 1)] = 'Median (Middle Value)'
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ws['D' + str(per_unit_area_start_row_number + 1)].border = f_border
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ws['E' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['E' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['E' + str(per_unit_area_start_row_number + 1)] = 'Minimum Value'
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ws['E' + str(per_unit_area_start_row_number + 1)].border = f_border
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ws['F' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['F' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['F' + str(per_unit_area_start_row_number + 1)] = 'Maximum Value'
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ws['F' + str(per_unit_area_start_row_number + 1)].border = f_border
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ws['G' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['G' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['G' + str(per_unit_area_start_row_number + 1)] = 'Sample Standard Deviation'
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ws['G' + str(per_unit_area_start_row_number + 1)].border = f_border
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ws['H' + str(per_unit_area_start_row_number + 1)].font = title_font
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ws['H' + str(per_unit_area_start_row_number + 1)].alignment = c_c_alignment
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ws['H' + str(per_unit_area_start_row_number + 1)] = 'Sample Variance'
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ws['H' + str(per_unit_area_start_row_number + 1)].border = f_border
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# table_data
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for i, value in enumerate(category):
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row_data = per_unit_area_start_row_number + 2 + i
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ws['B' + str(row_data)].font = name_font
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ws['B' + str(row_data)].alignment = c_c_alignment
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ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][
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i] + "/M²)"
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ws['B' + str(row_data)].border = f_border
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ws['C' + str(row_data)].font = name_font
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ws['C' + str(row_data)].alignment = c_c_alignment
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if reporting_period_data['means_per_unit_area'][i] \
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or reporting_period_data['means_per_unit_area'][i] == 0:
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ws['C' + str(row_data)] = round(reporting_period_data['means_per_unit_area'][i], 2)
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ws['C' + str(row_data)].border = f_border
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ws['C' + str(row_data)].number_format = '0.00'
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ws['D' + str(row_data)].font = name_font
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ws['D' + str(row_data)].alignment = c_c_alignment
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if reporting_period_data['medians_per_unit_area'][i] \
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or reporting_period_data['medians_per_unit_area'][i] == 0:
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ws['D' + str(row_data)] = round(reporting_period_data['medians_per_unit_area'][i], 2)
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ws['D' + str(row_data)].border = f_border
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ws['D' + str(row_data)].number_format = '0.00'
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ws['E' + str(row_data)].font = name_font
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ws['E' + str(row_data)].alignment = c_c_alignment
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if reporting_period_data['minimums_per_unit_area'][i] \
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or reporting_period_data['minimums_per_unit_area'][i] == 0:
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ws['E' + str(row_data)] = round(reporting_period_data['minimums_per_unit_area'][i], 2)
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ws['E' + str(row_data)].border = f_border
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ws['E' + str(row_data)].number_format = '0.00'
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ws['F' + str(row_data)].font = name_font
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ws['F' + str(row_data)].alignment = c_c_alignment
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if reporting_period_data['maximums_per_unit_area'][i] \
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or reporting_period_data['maximums_per_unit_area'][i] == 0:
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ws['F' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2)
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ws['F' + str(row_data)].border = f_border
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ws['F' + str(row_data)].number_format = '0.00'
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ws['G' + str(row_data)].font = name_font
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ws['G' + str(row_data)].alignment = c_c_alignment
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if (reporting_period_data['stdevs_per_unit_area'][i]) \
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or reporting_period_data['stdevs_per_unit_area'][i] == 0:
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ws['G' + str(row_data)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2)
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ws['G' + str(row_data)].border = f_border
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ws['G' + str(row_data)].number_format = '0.00'
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ws['H' + str(row_data)].font = name_font
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ws['H' + str(row_data)].alignment = c_c_alignment
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if reporting_period_data['variances_per_unit_area'][i] \
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or reporting_period_data['variances_per_unit_area'][i] == 0:
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ws['H' + str(row_data)] = round(reporting_period_data['variances_per_unit_area'][i], 2)
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|
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
|
|
|
|
current_row_number += 1
|
|
|
|
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"
|
|
ser.marker.size = 5
|
|
ws.add_chart(line, 'B' + str(current_row_number + 6 * i))
|
|
|
|
####################################################################################################################
|
|
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 = ws.title
|
|
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 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
|