Implemented the combinedequipmentload Excel Exporter
Caozhenhui
parent
76b83136a2
commit
9048dac16c
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@ -0,0 +1,368 @@
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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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LineChart,
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Reference,
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)
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from openpyxl.chart.label import DataLabelList
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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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####################################################################################################################
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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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####################################################################################################################
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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=False,
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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=False,
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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=False,
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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 = Image("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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ws.add_image(img, 'B1')
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# Title
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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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# First: 统计分析
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# 6: title
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# 7: table title
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# 8~2*ca_len table_data
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#################################################
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reporting_period_data = report['reporting_period']
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has_energy_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_energy_data_flag = False
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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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if has_energy_data_flag:
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ws['B6'].font = title_font
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ws['B6'] = name + ' 统计分析'
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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'] = '报告期'
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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'] = '平均负荷'
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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'] = '最大负荷'
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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'] = '负荷系数'
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ws['E7'].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] + "/H )"
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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)] = "环比"
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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['averages'][i], 2) \
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if reporting_period_data['averages'][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['averages_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['averages_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['maximums'][i], 2) \
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if reporting_period_data['maximums'][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['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['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['factors'][i], 2) \
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if reporting_period_data['factors'][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['factors_increment_rate'][i] * 100, 2)) + "%" \
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if reporting_period_data['factors_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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########################################################
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# Third: 详细数据
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# row_sat~ row_sat + 6*cal_len: line
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# row_da: table title
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# row_da + 1~: table_data
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########################################################
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has_timestamps_flag = True
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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:
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has_timestamps_flag = False
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if has_timestamps_flag:
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timestamps = reporting_period_data['timestamps'][0]
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names = reporting_period_data['names']
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ca_len = len(names)
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time_len = len(timestamps)
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# row_lines == the number of rows of lines
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row_lines = 6 * ca_len
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# row_sat == the number of rows of statistical analysis table
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row_sat = 9 + 2 * ca_len
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# row_da == the number of rows of Detailed data
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row_da = row_sat + row_lines + 1
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ws['B' + str(row_da)].font = title_font
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ws['B' + str(row_da)] = name + ' 详细数据'
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# table_title
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ws['B' + str(row_da + 1)].fill = table_fill
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ws['B' + str(row_da + 1)].font = name_font
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ws['B' + str(row_da + 1)].alignment = c_c_alignment
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ws['B' + str(row_da + 1)] = "日期时间"
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ws['B' + str(row_da + 1)].border = f_border
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for i in range(0, ca_len):
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col_average = chr(ord('C') + i)
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col_maximum = chr(ord('C') + i + ca_len)
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ws[col_average + str(row_da + 1)].font = name_font
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ws[col_average + str(row_da + 1)].alignment = c_c_alignment
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ws[col_average + str(row_da + 1)] = names[i] + " 平均负荷(" + reporting_period_data['units'][
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i] + "/H)"
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ws[col_average + str(row_da + 1)].border = f_border
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ws[col_maximum + str(row_da + 1)].font = name_font
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ws[col_maximum + str(row_da + 1)].alignment = c_c_alignment
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ws[col_maximum + str(row_da + 1)] = names[i] + " 最大负荷(" + reporting_period_data['units'][
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i] + "/H)"
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ws[col_maximum + str(row_da + 1)].border = f_border
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# table_date
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for i in range(0, time_len):
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rows = i + row_da + 2
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ws['B' + str(rows)].font = name_font
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ws['B' + str(rows)].alignment = c_c_alignment
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ws['B' + str(rows)] = timestamps[i]
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ws['B' + str(rows)].border = f_border
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for index in range(0, ca_len):
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col_average = chr(ord('C') + index)
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col_maximum = chr(ord(col_average) + ca_len )
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ws[col_average + str(rows)].font = name_font
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ws[col_average + str(rows)].alignment = c_c_alignment
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ws[col_average + str(rows)] = reporting_period_data['sub_averages'][index][i] \
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if reporting_period_data['sub_maximums'][index] is not None else ''
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ws[col_average + str(rows)].number_format = '0.00'
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ws[col_average + str(rows)].border = f_border
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ws[col_maximum + str(rows)].font = name_font
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ws[col_maximum + str(rows)].alignment = c_c_alignment
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ws[col_maximum + str(rows)] = reporting_period_data['sub_maximums'][index][i] \
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if reporting_period_data['sub_maximums'][index] is not None else ''
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ws[col_maximum + str(rows)].number_format = '0.00'
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ws[col_maximum + str(rows)].border = f_border
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# LineChart
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for i in range(0, ca_len):
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lc = LineChart()
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lc.title = "报告期 最大负荷"
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lc.style = 10
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lc.x_axis.majorTickMark = 'in'
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lc.y_axis.majorTickMark = 'in'
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lc.smooth = True
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lc.x_axis.crosses = 'min'
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lc.height = 8.25
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lc.width = 24
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lc.dLbls = DataLabelList()
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lc.dLbls.dLblPos = 't'
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lc.dLbls.showVal = True
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times = Reference(ws, min_col=2, min_row=row_da + 2,
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max_row=row_da + 2 + time_len)
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lc_data = Reference(ws, min_col=3 + ca_len + i, min_row=row_da + 1,
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max_row=row_da + 1 + time_len)
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lc.add_data(lc_data, titles_from_data=True)
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lc.set_categories(times)
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ser = lc.series[0]
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ser.marker.symbol = "diamond"
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ser.marker.size = 5
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chart_col = 'B'
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chart_cell = str(row_sat + 6 * i)
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ws.add_chart(lc, chart_col + chart_cell)
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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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@ -327,9 +327,9 @@ def generate_excel(report,
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########################################################
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# Third: 详细数据
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# row_sat+row_title~ row_sat+row_title+time_len: line
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# row_sat+1+row_title: table title
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# i + row_sat + 2 + 6 * ca_len~: table_data
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# row_sat~ row_sat + 6*cal_len: line
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# row_da: table title
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# row_da + 1~: table_data
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########################################################
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has_timestamps_flag = True
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if "timestamps" not in reporting_period_data.keys() or \
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@ -342,38 +342,40 @@ def generate_excel(report,
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names = reporting_period_data['names']
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ca_len = len(names)
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time_len = len(timestamps)
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# title
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row_title = 6 * ca_len
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# row_st == row_statistical analysis table
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row_sat = 12 + 3 * ca_len
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# row_lines == the number of rows of lines
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row_lines = 6 * ca_len
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# row_sat == the number of rows of statistical analysis table
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row_sat = 9 + 2 * ca_len
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# row_da == the number of rows of Detailed data
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row_da = row_sat + row_lines + 1
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ws['B' + str(row_sat + row_title)].font = title_font
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ws['B' + str(row_sat + row_title)] = name + ' 详细数据'
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ws['B' + str(row_da)].font = title_font
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ws['B' + str(row_da)] = name + ' 详细数据'
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# table_title
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ws['B' + str(row_sat + 1 + row_title)].fill = table_fill
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ws['B' + str(row_sat + 1 + row_title)].font = name_font
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ws['B' + str(row_sat + 1 + row_title)].alignment = c_c_alignment
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ws['B' + str(row_sat + 1 + row_title)] = "日期时间"
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ws['B' + str(row_sat + 1 + row_title)].border = f_border
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ws['B' + str(row_da + 1)].fill = table_fill
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ws['B' + str(row_da + 1)].font = name_font
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ws['B' + str(row_da + 1)].alignment = c_c_alignment
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ws['B' + str(row_da + 1)] = "日期时间"
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ws['B' + str(row_da + 1)].border = f_border
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for i in range(0, ca_len):
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col_average = chr(ord('C') + i)
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col_maximum = chr(ord('C') + i + ca_len)
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ws[col_average + str(row_sat + 1 + row_title)].font = name_font
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ws[col_average + str(row_sat + 1 + row_title)].alignment = c_c_alignment
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ws[col_average + str(row_sat + 1 + row_title)] = names[i] + " 平均负荷(" + reporting_period_data['units'][
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ws[col_average + str(row_da + 1)].font = name_font
|
||||
ws[col_average + str(row_da + 1)].alignment = c_c_alignment
|
||||
ws[col_average + str(row_da + 1)] = names[i] + " 平均负荷(" + reporting_period_data['units'][
|
||||
i] + "/H)"
|
||||
ws[col_average + str(row_sat + 1 + row_title)].border = f_border
|
||||
ws[col_average + str(row_da + 1)].border = f_border
|
||||
|
||||
ws[col_maximum + str(row_sat + 1 + row_title)].font = name_font
|
||||
ws[col_maximum + str(row_sat + 1 + row_title)].alignment = c_c_alignment
|
||||
ws[col_maximum + str(row_sat + 1 + row_title)] = names[i] + " 最大负荷(" + reporting_period_data['units'][
|
||||
ws[col_maximum + str(row_da + 1)].font = name_font
|
||||
ws[col_maximum + str(row_da + 1)].alignment = c_c_alignment
|
||||
ws[col_maximum + str(row_da + 1)] = names[i] + " 最大负荷(" + reporting_period_data['units'][
|
||||
i] + "/H)"
|
||||
ws[col_maximum + str(row_sat + 1 + row_title)].border = f_border
|
||||
ws[col_maximum + str(row_da + 1)].border = f_border
|
||||
# table_date
|
||||
for i in range(0, time_len):
|
||||
rows = i + row_sat + 2 + 6 * ca_len
|
||||
rows = i + row_da + 2
|
||||
|
||||
ws['B' + str(rows)].font = name_font
|
||||
ws['B' + str(rows)].alignment = c_c_alignment
|
||||
|
|
@ -381,8 +383,8 @@ def generate_excel(report,
|
|||
ws['B' + str(rows)].border = f_border
|
||||
|
||||
for index in range(0, ca_len):
|
||||
col_average = chr(ord('C') + index * 2)
|
||||
col_maximum = chr(ord('C') + index * 2 + 1)
|
||||
col_average = chr(ord('C') + index)
|
||||
col_maximum = chr(ord(col_average) + ca_len)
|
||||
|
||||
ws[col_average + str(rows)].font = name_font
|
||||
ws[col_average + str(rows)].alignment = c_c_alignment
|
||||
|
|
@ -412,10 +414,10 @@ def generate_excel(report,
|
|||
lc.dLbls = DataLabelList()
|
||||
lc.dLbls.dLblPos = 't'
|
||||
lc.dLbls.showVal = True
|
||||
times = Reference(ws, min_col=2, min_row=row_sat + 2 + row_title,
|
||||
max_row=row_sat + 2 + row_title + time_len)
|
||||
lc_data = Reference(ws, min_col=3 + ca_len, min_row=row_sat + 1 + row_title,
|
||||
max_row=row_sat + 1 + row_title + time_len)
|
||||
times = Reference(ws, min_col=2, min_row=row_da + 2,
|
||||
max_row=row_da + 2 + time_len)
|
||||
lc_data = Reference(ws, min_col=3 + ca_len + i, min_row=row_da + 1,
|
||||
max_row=row_da + 1 + time_len)
|
||||
lc.add_data(lc_data, titles_from_data=True)
|
||||
lc.set_categories(times)
|
||||
ser = lc.series[0]
|
||||
|
|
|
|||
|
|
@ -5,6 +5,7 @@ import config
|
|||
from datetime import datetime, timedelta, timezone
|
||||
from core import utilities
|
||||
from decimal import Decimal
|
||||
import excelexporters.combinedequipmentload
|
||||
|
||||
|
||||
class Reporting:
|
||||
|
|
@ -69,7 +70,7 @@ class Reporting:
|
|||
try:
|
||||
base_start_datetime_utc = datetime.strptime(base_start_datetime_local,
|
||||
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
|
||||
timedelta(minutes=timezone_offset)
|
||||
timedelta(minutes=timezone_offset)
|
||||
except ValueError:
|
||||
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
||||
description="API.INVALID_BASE_PERIOD_START_DATETIME")
|
||||
|
|
@ -80,7 +81,7 @@ class Reporting:
|
|||
try:
|
||||
base_end_datetime_utc = datetime.strptime(base_end_datetime_local,
|
||||
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
|
||||
timedelta(minutes=timezone_offset)
|
||||
timedelta(minutes=timezone_offset)
|
||||
except ValueError:
|
||||
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
||||
description="API.INVALID_BASE_PERIOD_END_DATETIME")
|
||||
|
|
@ -98,7 +99,7 @@ class Reporting:
|
|||
try:
|
||||
reporting_start_datetime_utc = datetime.strptime(reporting_start_datetime_local,
|
||||
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
|
||||
timedelta(minutes=timezone_offset)
|
||||
timedelta(minutes=timezone_offset)
|
||||
except ValueError:
|
||||
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
||||
description="API.INVALID_REPORTING_PERIOD_START_DATETIME")
|
||||
|
|
@ -111,7 +112,7 @@ class Reporting:
|
|||
try:
|
||||
reporting_end_datetime_utc = datetime.strptime(reporting_end_datetime_local,
|
||||
'%Y-%m-%dT%H:%M:%S').replace(tzinfo=timezone.utc) - \
|
||||
timedelta(minutes=timezone_offset)
|
||||
timedelta(minutes=timezone_offset)
|
||||
except ValueError:
|
||||
raise falcon.HTTPError(falcon.HTTP_400, title='API.BAD_REQUEST',
|
||||
description="API.INVALID_REPORTING_PERIOD_END_DATETIME")
|
||||
|
|
@ -269,10 +270,10 @@ class Reporting:
|
|||
period_type)
|
||||
base[energy_category_id]['factor'] = \
|
||||
(base[energy_category_id]['average'] / base[energy_category_id]['maximum']
|
||||
if (base[energy_category_id]['average'] is not None and
|
||||
base[energy_category_id]['maximum'] is not None and
|
||||
base[energy_category_id]['maximum'] > Decimal(0.0))
|
||||
else None)
|
||||
if (base[energy_category_id]['average'] is not None and
|
||||
base[energy_category_id]['maximum'] is not None and
|
||||
base[energy_category_id]['maximum'] > Decimal(0.0))
|
||||
else None)
|
||||
|
||||
for row_combined_equipment_periodically in rows_combined_equipment_periodically:
|
||||
current_datetime_local = row_combined_equipment_periodically[0].replace(tzinfo=timezone.utc) + \
|
||||
|
|
@ -523,4 +524,11 @@ class Reporting:
|
|||
"values": parameters_data['values']
|
||||
}
|
||||
|
||||
# export result to Excel file and then encode the file to base64 string
|
||||
result['excel_bytes_base64'] = excelexporters.combinedequipmentload.export(result,
|
||||
combined_equipment['name'],
|
||||
reporting_start_datetime_local,
|
||||
reporting_end_datetime_local,
|
||||
period_type)
|
||||
|
||||
resp.body = json.dumps(result)
|
||||
|
|
|
|||
Loading…
Reference in New Issue