Implemented the CombinedEquipmentEnergyItem Excel Exporter
YangZhang-GitHub
parent
0d6c14b999
commit
f0589cbb97
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import base64
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import uuid
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import os
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from openpyxl.chart import (
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PieChart,
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LineChart,
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BarChart,
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Reference,
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)
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from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
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from openpyxl.drawing.image import Image
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from openpyxl import Workbook
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from openpyxl.chart.label import DataLabelList
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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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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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# 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='Constantia', size=15, bold=True)
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title_font = Font(name='宋体', size=15, bold=True)
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data_font = Font(name='Franklin Gothic Book', size=11)
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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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c_r_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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# Img
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img = Image("excelexporters/myems.png")
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img.width = img.width * 0.85
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img.height = img.height * 0.85
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# img = Image("myems.png")
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ws.add_image(img, 'B1')
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# Title
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ws.row_dimensions[3].height = 60
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ws['B3'].font = name_font
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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'].font = name_font
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ws['C3'] = name
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ws['D3'].font = name_font
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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'].font = name_font
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ws['E3'] = period_type
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ws['F3'].font = name_font
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ws['F3'].alignment = b_r_alignment
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ws['F3'] = 'Date:'
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ws['G3'].border = b_border
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ws['G3'].alignment = b_c_alignment
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ws['G3'].font = name_font
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ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
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ws.merge_cells("G3:H3")
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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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current_row_number = 6
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reporting_period_data = report['reporting_period']
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has_names_data_flag = True
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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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has_names_data_flag = False
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if has_names_data_flag:
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)] = name + ' 报告期消耗'
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current_row_number += 1
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category = reporting_period_data['names']
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ca_len = len(category)
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ws.row_dimensions[current_row_number].height = 60
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ws['B' + str(current_row_number)].fill = table_fill
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ws['B' + str(current_row_number)].border = f_border
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col = 'C'
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for i in range(0, ca_len):
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ws[col + str(current_row_number)].fill = table_fill
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ws[col + str(current_row_number)].font = name_font
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ws[col + str(current_row_number)].alignment = c_c_alignment
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ws[col + str(current_row_number)].border = f_border
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ws[col + str(current_row_number)] = \
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reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \
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" (" + reporting_period_data['units'][i] + ")"
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col = chr(ord(col) + 1)
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current_row_number += 1
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)].alignment = c_c_alignment
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ws['B' + str(current_row_number)].border = f_border
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ws['B' + str(current_row_number)] = '消耗'
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col = 'C'
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for i in range(0, ca_len):
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ws[col + str(current_row_number)].font = name_font
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ws[col + str(current_row_number)].alignment = c_c_alignment
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ws[col + str(current_row_number)].border = f_border
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ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
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col = chr(ord(col) + 1)
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current_row_number += 1
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# ws['B' + str(current_row_number)].font = title_font
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# ws['B' + str(current_row_number)].alignment = c_c_alignment
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# ws['B' + str(current_row_number)].border = f_border
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# ws['B' + str(current_row_number)] = '单位面积值'
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#
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# col = 'C'
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#
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# for i in range(0, ca_len):
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# ws[col + str(current_row_number)].font = name_font
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# ws[col + str(current_row_number)].alignment = c_c_alignment
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# ws[col + str(current_row_number)].border = f_border
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# ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area'][i], 2)
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#
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# col = chr(ord(col) + 1)
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#
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# current_row_number += 1
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)].alignment = c_c_alignment
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ws['B' + str(current_row_number)].border = f_border
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ws['B' + str(current_row_number)] = '环比'
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col = 'C'
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for i in range(0, ca_len):
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ws[col + str(current_row_number)].font = name_font
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ws[col + str(current_row_number)].alignment = c_c_alignment
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ws[col + str(current_row_number)].border = f_border
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ws[col + str(current_row_number)] = str(
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round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \
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if reporting_period_data['increment_rates'][i] is not None else '-'
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col = chr(ord(col) + 1)
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current_row_number += 2
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category_dict = group_by_category(reporting_period_data['energy_category_names'])
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for category_dict_name, category_dict_values in category_dict.items():
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)] = \
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name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \
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') 分项消耗占比'
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current_row_number += 1
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table_start_row_number = current_row_number
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ws['B' + str(current_row_number)].fill = table_fill
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ws['B' + str(current_row_number)].border = f_border
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ws['C' + str(current_row_number)].font = name_font
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ws['C' + str(current_row_number)].fill = table_fill
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ws['C' + str(current_row_number)].alignment = c_c_alignment
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ws['C' + str(current_row_number)].border = f_border
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ws['C' + str(current_row_number)] = '消耗'
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current_row_number += 1
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for i in category_dict_values:
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)].alignment = c_c_alignment
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ws['B' + str(current_row_number)].border = f_border
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ws['B' + str(current_row_number)] = \
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reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
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ws['C' + str(current_row_number)].font = name_font
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ws['C' + str(current_row_number)].alignment = c_c_alignment
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ws['C' + str(current_row_number)].border = f_border
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ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 3)
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current_row_number += 1
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table_end_row_number = current_row_number - 1
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pie = PieChart()
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pie.title = \
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name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \
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') 分项消耗占比'
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labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
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pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number)
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pie.add_data(pie_data, titles_from_data=True)
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pie.set_categories(labels)
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pie.height = 6.6
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pie.width = 9
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s1 = pie.series[0]
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s1.dLbls = DataLabelList()
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s1.dLbls.showCatName = False
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s1.dLbls.showVal = True
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s1.dLbls.showPercent = True
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ws.add_chart(pie, 'D' + str(table_start_row_number))
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if len(category_dict_values) < 4:
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current_row_number = current_row_number - len(category_dict_values) + 4
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current_row_number += 1
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#####################################
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has_values_data = True
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has_timestamps_data = True
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if 'values' not in reporting_period_data.keys() or \
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reporting_period_data['values'] is None or \
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len(reporting_period_data['values']) == 0:
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has_values_data = False
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if 'timestamps' not in reporting_period_data.keys() or \
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reporting_period_data['timestamps'] is None or \
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len(reporting_period_data['timestamps']) == 0 or \
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len(reporting_period_data['timestamps'][0]) == 0:
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has_timestamps_data = False
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if has_values_data and has_timestamps_data:
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ca_len = len(reporting_period_data['names'])
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time = reporting_period_data['timestamps'][0]
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)] = name + ' 详细数据'
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current_row_number += 1
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chart_start_row_number = current_row_number
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current_row_number += ca_len * 6
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table_start_row_number = current_row_number
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ws.row_dimensions[current_row_number].height = 60
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ws['B' + str(current_row_number)].fill = table_fill
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ws['B' + str(current_row_number)].font = title_font
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ws['B' + str(current_row_number)].alignment = c_c_alignment
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ws['B' + str(current_row_number)].border = f_border
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ws['B' + str(current_row_number)] = '日期时间'
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col = 'C'
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for i in range(0, ca_len):
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ws[col + str(current_row_number)].fill = table_fill
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ws[col + str(current_row_number)].font = title_font
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ws[col + str(current_row_number)].alignment = c_c_alignment
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ws[col + str(current_row_number)].border = f_border
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ws[col + str(current_row_number)] = \
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reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
|
||||||
|
col = chr(ord(col) + 1)
|
||||||
|
|
||||||
|
current_row_number += 1
|
||||||
|
|
||||||
|
for i in range(0, len(time)):
|
||||||
|
ws['B' + str(current_row_number)].font = title_font
|
||||||
|
ws['B' + str(current_row_number)].alignment = c_c_alignment
|
||||||
|
ws['B' + str(current_row_number)].border = f_border
|
||||||
|
ws['B' + str(current_row_number)] = time[i]
|
||||||
|
|
||||||
|
col = 'C'
|
||||||
|
for j in range(0, ca_len):
|
||||||
|
ws[col + str(current_row_number)].font = title_font
|
||||||
|
ws[col + str(current_row_number)].alignment = c_c_alignment
|
||||||
|
ws[col + str(current_row_number)].border = f_border
|
||||||
|
ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \
|
||||||
|
if reporting_period_data['values'][j][i] is not None else 0.00
|
||||||
|
col = chr(ord(col) + 1)
|
||||||
|
|
||||||
|
current_row_number += 1
|
||||||
|
|
||||||
|
table_end_row_number = current_row_number - 1
|
||||||
|
|
||||||
|
ws['B' + str(current_row_number)].font = title_font
|
||||||
|
ws['B' + str(current_row_number)].alignment = c_c_alignment
|
||||||
|
ws['B' + str(current_row_number)].border = f_border
|
||||||
|
ws['B' + str(current_row_number)] = '小计'
|
||||||
|
|
||||||
|
col = 'C'
|
||||||
|
|
||||||
|
for i in range(0, ca_len):
|
||||||
|
ws[col + str(current_row_number)].font = title_font
|
||||||
|
ws[col + str(current_row_number)].alignment = c_c_alignment
|
||||||
|
ws[col + str(current_row_number)].border = f_border
|
||||||
|
ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
|
||||||
|
col = chr(ord(col) + 1)
|
||||||
|
|
||||||
|
current_row_number += 2
|
||||||
|
|
||||||
|
format_time_width_number = 1.0
|
||||||
|
min_len_number = 1.0
|
||||||
|
min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0
|
||||||
|
|
||||||
|
if period_type == 'hourly':
|
||||||
|
format_time_width_number = 4.0
|
||||||
|
min_len_number = 2
|
||||||
|
min_width_number = 12.0
|
||||||
|
elif period_type == 'daily':
|
||||||
|
format_time_width_number = 2.5
|
||||||
|
min_len_number = 4
|
||||||
|
min_width_number = 14.0
|
||||||
|
elif period_type == 'monthly':
|
||||||
|
format_time_width_number = 2.1
|
||||||
|
min_len_number = 4
|
||||||
|
min_width_number = 12.4
|
||||||
|
elif period_type == 'yearly':
|
||||||
|
format_time_width_number = 1.5
|
||||||
|
min_len_number = 5
|
||||||
|
min_width_number = 11.5
|
||||||
|
|
||||||
|
for i in range(0, ca_len):
|
||||||
|
line = LineChart()
|
||||||
|
line.title = '报告期消耗 - ' + \
|
||||||
|
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
|
||||||
|
labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
|
||||||
|
line_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_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 = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number
|
||||||
|
if line.width > 24:
|
||||||
|
line.width = 24
|
||||||
|
line.dLbls = DataLabelList()
|
||||||
|
line.dLbls.dLblPos = 't'
|
||||||
|
line.dLbls.showVal = True
|
||||||
|
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)
|
||||||
|
|
||||||
|
filename = str(uuid.uuid4()) + '.xlsx'
|
||||||
|
wb.save(filename)
|
||||||
|
|
||||||
|
return filename
|
||||||
|
|
||||||
|
|
||||||
|
def group_by_category(category_list):
|
||||||
|
category_dict = dict()
|
||||||
|
for i, value in enumerate(category_list):
|
||||||
|
if value not in category_dict.keys():
|
||||||
|
category_dict[value] = list()
|
||||||
|
category_dict[value].append(i)
|
||||||
|
return category_dict
|
||||||
Loading…
Reference in New Issue