pull/1/head
Caozhenhui 2021-03-02 20:25:48 +08:00
parent 0123167b58
commit c493c797ad
2 changed files with 451 additions and 1 deletions

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@ -0,0 +1,444 @@
import base64
import uuid
import os
from openpyxl.chart import (
LineChart,
Reference,
)
from openpyxl.chart.label import DataLabelList
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
from openpyxl.drawing.image import Image
from openpyxl import Workbook
####################################################################################################################
# PROCEDURES
# Step 1: Validate the report data
# Step 2: Generate excel file
# Step 3: Encode the excel file bytes to Base64
####################################################################################################################
def export(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type):
####################################################################################################################
# Step 1: Validate the report data
####################################################################################################################
if report is None:
return None
####################################################################################################################
# Step 2: Generate excel file from the report data
####################################################################################################################
filename = generate_excel(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type)
####################################################################################################################
# Step 3: Encode the excel file to Base64
####################################################################################################################
try:
with open(filename, 'rb') as binary_file:
binary_file_data = binary_file.read()
except IOError as ex:
pass
# Base64 encode the bytes
base64_encoded_data = base64.b64encode(binary_file_data)
# get the Base64 encoded data using human-readable characters.
base64_message = base64_encoded_data.decode('utf-8')
# delete the file from server
try:
os.remove(filename)
except NotImplementedError as ex:
pass
return base64_message
def generate_excel(report,
name,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type):
wb = Workbook()
ws = wb.active
# Row height
ws.row_dimensions[1].height = 102
for i in range(2, 2000 + 1):
ws.row_dimensions[i].height = 42
# Col width
ws.column_dimensions['A'].width = 1.5
ws.column_dimensions['B'].width = 25.0
for i in range(ord('C'), ord('L')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Constantia', size=15, bold=True)
title_font = Font(name='宋体', size=15, bold=True)
# data_font = Font(name='Franklin Gothic Book', size=11)
table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
f_border = Border(left=Side(border_style='medium', color='00000000'),
right=Side(border_style='medium', color='00000000'),
bottom=Side(border_style='medium', color='00000000'),
top=Side(border_style='medium', color='00000000')
)
b_border = Border(
bottom=Side(border_style='medium', color='00000000'),
)
b_c_alignment = Alignment(vertical='bottom',
horizontal='center',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
c_c_alignment = Alignment(vertical='center',
horizontal='center',
text_rotation=0,
wrap_text=True,
shrink_to_fit=False,
indent=0)
b_r_alignment = Alignment(vertical='bottom',
horizontal='right',
text_rotation=0,
wrap_text=False,
shrink_to_fit=False,
indent=0)
# c_r_alignment = Alignment(vertical='bottom',
# horizontal='center',
# text_rotation=0,
# wrap_text=False,
# shrink_to_fit=False,
# indent=0)
# Img
img = Image("excelexporters/myems.png")
# img = Image("myems.png")
img.width = img.width * 0.85
img.height = img.height * 0.85
ws.add_image(img, 'B1')
# Title
ws['B3'].font = name_font
ws['B3'].alignment = b_r_alignment
ws['B3'] = 'Name:'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'].font = name_font
ws['C3'] = name
ws['D3'].font = name_font
ws['D3'].alignment = b_r_alignment
ws['D3'] = 'Period:'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'].font = name_font
ws['E3'] = period_type
ws['F3'].font = name_font
ws['F3'].alignment = b_r_alignment
ws['F3'] = 'Date:'
ws['G3'].border = b_border
ws['G3'].alignment = b_c_alignment
ws['G3'].font = name_font
ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
ws.merge_cells("G3:H3")
if "reporting_period" not in report.keys() or \
"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
#################################################
# First: 统计分析
# 6: title
# 7: table title
# 8~ca_len table_data
#################################################
reporting_period_data = report['reporting_period']
has_energy_data_flag = True
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
has_energy_data_flag = False
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
if has_energy_data_flag:
ws['B6'].font = title_font
ws['B6'] = name + ' 统计分析'
category = reporting_period_data['names']
# table_title
ws['B7'].fill = table_fill
ws['B7'].font = title_font
ws['B7'].alignment = c_c_alignment
ws['B7'] = '报告期'
ws['B7'].border = f_border
ws['C7'].font = title_font
ws['C7'].alignment = c_c_alignment
ws['C7'] = '平均负荷'
ws['C7'].border = f_border
ws['D7'].font = title_font
ws['D7'].alignment = c_c_alignment
ws['D7'] = '最大负荷'
ws['D7'].border = f_border
ws['E7'].font = title_font
ws['E7'].alignment = c_c_alignment
ws['E7'] = '负荷系数'
ws['E7'].border = f_border
# table_data
for i, value in enumerate(category):
row = i*2 + 8
ws['B' + str(row)].font = name_font
ws['B' + str(row)].alignment = c_c_alignment
ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + "/H )"
ws['B' + str(row)].border = f_border
ws['B' + str(row + 1)].font = name_font
ws['B' + str(row + 1)].alignment = c_c_alignment
ws['B' + str(row + 1)] = "环比"
ws['B' + str(row + 1)].border = f_border
ws['C' + str(row)].font = name_font
ws['C' + str(row)].alignment = c_c_alignment
ws['C' + str(row)] = round(reporting_period_data['averages'][i], 2) \
if reporting_period_data['averages'][i] is not None else ''
ws['C' + str(row)].border = f_border
ws['C' + str(row)].number_format = '0.00'
ws['C' + str(row + 1)].font = name_font
ws['C' + str(row + 1)].alignment = c_c_alignment
ws['C' + str(row + 1)] = str(round(reporting_period_data['averages_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['averages_increment_rate'][i] is not None else '0.00%'
ws['C' + str(row + 1)].border = f_border
ws['D' + str(row)].font = name_font
ws['D' + str(row)].alignment = c_c_alignment
ws['D' + str(row)] = round(reporting_period_data['maximums'][i], 2) \
if reporting_period_data['maximums'][i] is not None else ''
ws['D' + str(row)].border = f_border
ws['D' + str(row)].number_format = '0.00'
ws['D' + str(row + 1)].font = name_font
ws['D' + str(row + 1)].alignment = c_c_alignment
ws['D' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%'
ws['D' + str(row + 1)].border = f_border
ws['E' + str(row)].font = name_font
ws['E' + str(row)].alignment = c_c_alignment
ws['E' + str(row)] = round(reporting_period_data['factors'][i], 2) \
if reporting_period_data['factors'][i] is not None else ''
ws['E' + str(row)].border = f_border
ws['E' + str(row)].number_format = '0.00'
ws['E' + str(row + 1)].font = name_font
ws['E' + str(row + 1)].alignment = c_c_alignment
ws['E' + str(row + 1)] = str(round(reporting_period_data['factors_increment_rate'][i] * 100, 2)) + "%" \
if reporting_period_data['factors_increment_rate'][i] is not None else '0.00%'
ws['E' + str(row + 1)].border = f_border
#################################################
# Second: 报告期单位面积消耗
# 9 + ca_len * 2: title
# 10 + ca_len * 2: table title
# row_title + 2 ~ row_title + 2 + ca_len : table_data
#################################################
if has_energy_data_flag:
names = reporting_period_data['names']
ca_len = len(names)
row_title = 9 + ca_len * 2
for i in range(row_title + 2, row_title + 2 + ca_len):
ws.row_dimensions[i].height = 62
ws['B' + str(row_title)].font = title_font
ws['B' + str(row_title)] = name + ' 单位面积值'
ws['D' + str(row_title)].font = title_font
ws['D' + str(row_title)] = str(report['shopfloor']['area']) + ''
category = reporting_period_data['names']
# table_title
ws['B' + str(row_title + 1)].fill = table_fill
ws['B' + str(row_title + 1)].font = title_font
ws['B' + str(row_title + 1)].alignment = c_c_alignment
ws['B' + str(row_title + 1)] = '报告期'
ws['B' + str(row_title + 1)].border = f_border
ws['C' + str(row_title + 1)].font = title_font
ws['C' + str(row_title + 1)].alignment = c_c_alignment
ws['C' + str(row_title + 1)] = '平均负荷'
ws['C' + str(row_title + 1)].border = f_border
ws['D' + str(row_title + 1)].font = title_font
ws['D' + str(row_title + 1)].alignment = c_c_alignment
ws['D' + str(row_title + 1)] = '最大负荷'
ws['D' + str(row_title + 1)].border = f_border
ws['E' + str(row_title + 1)].font = title_font
ws['E' + str(row_title + 1)].alignment = c_c_alignment
ws['E' + str(row_title + 1)] = '负荷系数'
ws['E' + str(row_title + 1)].border = f_border
# table_data
for i, value in enumerate(category):
row_data = row_title + 2 + i
ws['B' + str(row_data)].font = name_font
ws['B' + str(row_data)].alignment = c_c_alignment
ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][
i] + "/H/M²)"
ws['B' + str(row_data)].border = f_border
ws['C' + str(row_data)].font = name_font
ws['C' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['averages_per_unit_area'][i] \
or reporting_period_data['averages_per_unit_area'][i] == 0:
ws['C' + str(row_data)] = round(reporting_period_data['averages_per_unit_area'][i], 2)
ws['C' + str(row_data)].border = f_border
ws['C' + str(row_data)].number_format = '0.00'
ws['D' + str(row_data)].font = name_font
ws['D' + str(row_data)].alignment = c_c_alignment
if reporting_period_data['maximums_per_unit_area'][i] \
or reporting_period_data['maximums_per_unit_area'][i] == 0:
ws['D' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2)
ws['D' + str(row_data)].border = f_border
ws['D' + str(row_data)].number_format = '0.00'
ws['E' + str(row_data)].font = name_font
ws['E' + str(row_data)].alignment = c_c_alignment
ws['E' + str(row_data)] = "平均负荷与最大负荷的比值"
ws['E' + str(row_data)].border = f_border
########################################################
# Third: 详细数据
# row_sat+row_title~ row_sat+row_title+time_len: line
# row_sat+1+row_title: table title
# i + row_sat + 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
if has_timestamps_flag:
timestamps = reporting_period_data['timestamps'][0]
names = reporting_period_data['names']
ca_len = len(names)
time_len = len(timestamps)
# title
row_title = 6 * ca_len
# row_st == row_statistical analysis table
row_sat = 12 + 3 * ca_len
ws['B' + str(row_sat+row_title)].font = title_font
ws['B' + str(row_sat+row_title)] = name + ' 详细数据'
# table_title
ws['B' + str(row_sat+1+row_title)].fill = table_fill
ws['B' + str(row_sat+1+row_title)].font = name_font
ws['B' + str(row_sat+1+row_title)].alignment = c_c_alignment
ws['B' + str(row_sat+1+row_title)] = "日期时间"
ws['B' + str(row_sat+1+row_title)].border = f_border
for i in range(0, ca_len):
col_average = chr(ord('C') + i)
col_maximum = chr(ord('C') + i + ca_len)
ws[col_average + str(row_sat + 1 + row_title)].font = name_font
ws[col_average + str(row_sat + 1 + row_title)].alignment = c_c_alignment
ws[col_average + str(row_sat + 1 + row_title)] = 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_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'][
i] + "/H)"
ws[col_maximum + str(row_sat + 1 + row_title)].border = f_border
# table_date
for i in range(0, time_len):
rows = i + row_sat + 2 + 6 * ca_len
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_average = chr(ord('C') + index * 2)
col_maximum = chr(ord('C') + index * 2 + 1)
ws[col_average + str(rows)].font = name_font
ws[col_average + str(rows)].alignment = c_c_alignment
ws[col_average + str(rows)] = reporting_period_data['sub_averages'][index][i] \
if reporting_period_data['sub_maximums'][index] is not None else ''
ws[col_average + str(rows)].number_format = '0.00'
ws[col_average + str(rows)].border = f_border
ws[col_maximum + str(rows)].font = name_font
ws[col_maximum + str(rows)].alignment = c_c_alignment
ws[col_maximum + str(rows)] = reporting_period_data['sub_maximums'][index][i] \
if reporting_period_data['sub_maximums'][index] is not None else ''
ws[col_maximum + str(rows)].number_format = '0.00'
ws[col_maximum + str(rows)].border = f_border
# LineChart
for i in range(0, ca_len):
lc = LineChart()
lc.title = "报告期 最大负荷"
lc.style = 10
lc.x_axis.majorTickMark = 'in'
lc.y_axis.majorTickMark = 'in'
lc.smooth = True
lc.x_axis.crosses = 'min'
lc.height = 8.25
lc.width = 24
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)
lc.add_data(lc_data, titles_from_data=True)
lc.set_categories(times)
ser = lc.series[0]
ser.marker.symbol = "diamond"
ser.marker.size = 5
chart_col = 'B'
chart_cell = str(row_sat + 6 * i)
ws.add_chart(lc, chart_col + chart_cell)
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename

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@ -5,7 +5,7 @@ import config
from datetime import datetime, timedelta, timezone from datetime import datetime, timedelta, timezone
from core import utilities from core import utilities
from decimal import Decimal from decimal import Decimal
import excelexporters.shopfloorload
class Reporting: class Reporting:
@staticmethod @staticmethod
@ -546,4 +546,10 @@ class Reporting:
"values": parameters_data['values'] "values": parameters_data['values']
} }
# export result to Excel file and then encode the file to base64 string
result['excel_bytes_base64'] = excelexporters.shopfloorload.export(result,
shopfloor['name'],
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type)
resp.body = json.dumps(result) resp.body = json.dumps(result)