added excel exporter of equipmentenergyitem report
Merge branch 'PR54' into developpull/1/head
commit
6375d7893a
|
@ -0,0 +1,464 @@
|
|||
import base64
|
||||
import uuid
|
||||
import os
|
||||
from openpyxl.chart import (
|
||||
PieChart,
|
||||
LineChart,
|
||||
BarChart,
|
||||
Reference,
|
||||
)
|
||||
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
|
||||
from openpyxl.drawing.image import Image
|
||||
from openpyxl import Workbook
|
||||
from openpyxl.chart.label import DataLabelList
|
||||
|
||||
|
||||
####################################################################################################################
|
||||
# PROCEDURES
|
||||
# Step 1: Validate the report data
|
||||
# Step 2: Generate excel file
|
||||
# Step 3: Encode the excel file bytes to Base64
|
||||
####################################################################################################################
|
||||
|
||||
|
||||
def export(report,
|
||||
name,
|
||||
reporting_start_datetime_local,
|
||||
reporting_end_datetime_local,
|
||||
period_type):
|
||||
####################################################################################################################
|
||||
# Step 1: Validate the report data
|
||||
####################################################################################################################
|
||||
if report is None:
|
||||
return None
|
||||
print(report)
|
||||
|
||||
####################################################################################################################
|
||||
# Step 2: Generate excel file from the report data
|
||||
####################################################################################################################
|
||||
filename = generate_excel(report,
|
||||
name,
|
||||
reporting_start_datetime_local,
|
||||
reporting_end_datetime_local,
|
||||
period_type)
|
||||
####################################################################################################################
|
||||
# Step 3: Encode the excel file to Base64
|
||||
####################################################################################################################
|
||||
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=True,
|
||||
shrink_to_fit=False,
|
||||
indent=0)
|
||||
c_c_alignment = Alignment(vertical='center',
|
||||
horizontal='center',
|
||||
text_rotation=0,
|
||||
wrap_text=True,
|
||||
shrink_to_fit=False,
|
||||
indent=0)
|
||||
b_r_alignment = Alignment(vertical='bottom',
|
||||
horizontal='right',
|
||||
text_rotation=0,
|
||||
wrap_text=True,
|
||||
shrink_to_fit=False,
|
||||
indent=0)
|
||||
c_r_alignment = Alignment(vertical='bottom',
|
||||
horizontal='center',
|
||||
text_rotation=0,
|
||||
wrap_text=True,
|
||||
shrink_to_fit=False,
|
||||
indent=0)
|
||||
# Img
|
||||
img = Image("excelexporters/myems.png")
|
||||
img.width = img.width * 0.85
|
||||
img.height = img.height * 0.85
|
||||
# img = Image("myems.png")
|
||||
ws.add_image(img, 'B1')
|
||||
|
||||
# Title
|
||||
ws.row_dimensions[3].height = 60
|
||||
|
||||
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
|
||||
|
||||
##################################
|
||||
|
||||
current_row_number = 6
|
||||
|
||||
reporting_period_data = report['reporting_period']
|
||||
|
||||
has_names_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_names_data_flag = False
|
||||
|
||||
if has_names_data_flag:
|
||||
ws['B' + str(current_row_number)].font = title_font
|
||||
ws['B' + str(current_row_number)] = name + ' 报告期消耗'
|
||||
|
||||
current_row_number += 1
|
||||
|
||||
category = reporting_period_data['names']
|
||||
ca_len = len(category)
|
||||
|
||||
ws.row_dimensions[current_row_number].height = 60
|
||||
ws['B' + str(current_row_number)].fill = table_fill
|
||||
ws['B' + str(current_row_number)].border = f_border
|
||||
|
||||
col = 'C'
|
||||
|
||||
for i in range(0, ca_len):
|
||||
ws[col + str(current_row_number)].fill = table_fill
|
||||
ws[col + str(current_row_number)].font = name_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)] = \
|
||||
reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \
|
||||
" (" + reporting_period_data['units'][i] + ")"
|
||||
|
||||
col = chr(ord(col) + 1)
|
||||
|
||||
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)] = '消耗'
|
||||
|
||||
col = 'C'
|
||||
|
||||
for i in range(0, ca_len):
|
||||
ws[col + str(current_row_number)].font = name_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 += 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)] = '单位面积值'
|
||||
#
|
||||
# col = 'C'
|
||||
#
|
||||
# for i in range(0, ca_len):
|
||||
# ws[col + str(current_row_number)].font = name_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_per_unit_area'][i], 2)
|
||||
#
|
||||
# col = chr(ord(col) + 1)
|
||||
#
|
||||
# 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)] = '环比'
|
||||
|
||||
col = 'C'
|
||||
|
||||
for i in range(0, ca_len):
|
||||
ws[col + str(current_row_number)].font = name_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)] = str(
|
||||
round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \
|
||||
if reporting_period_data['increment_rates'][i] is not None else '-'
|
||||
|
||||
col = chr(ord(col) + 1)
|
||||
|
||||
current_row_number += 2
|
||||
|
||||
category_dict = group_by_category(reporting_period_data['energy_category_names'])
|
||||
|
||||
for category_dict_name, category_dict_values in category_dict.items():
|
||||
|
||||
ws['B' + str(current_row_number)].font = title_font
|
||||
ws['B' + str(current_row_number)] = \
|
||||
name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \
|
||||
') 分项消耗占比'
|
||||
|
||||
current_row_number += 1
|
||||
table_start_row_number = current_row_number
|
||||
|
||||
ws['B' + str(current_row_number)].fill = table_fill
|
||||
ws['B' + str(current_row_number)].border = f_border
|
||||
|
||||
ws['C' + str(current_row_number)].font = name_font
|
||||
ws['C' + str(current_row_number)].fill = table_fill
|
||||
ws['C' + str(current_row_number)].alignment = c_c_alignment
|
||||
ws['C' + str(current_row_number)].border = f_border
|
||||
ws['C' + str(current_row_number)] = '消耗'
|
||||
|
||||
current_row_number += 1
|
||||
|
||||
for i in category_dict_values:
|
||||
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)] = \
|
||||
reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
|
||||
ws['C' + str(current_row_number)].font = name_font
|
||||
ws['C' + str(current_row_number)].alignment = c_c_alignment
|
||||
ws['C' + str(current_row_number)].border = f_border
|
||||
ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 3)
|
||||
|
||||
current_row_number += 1
|
||||
|
||||
table_end_row_number = current_row_number - 1
|
||||
|
||||
pie = PieChart()
|
||||
pie.title = \
|
||||
name + ' ' + category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \
|
||||
') 分项消耗占比'
|
||||
labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
|
||||
pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number)
|
||||
pie.add_data(pie_data, titles_from_data=True)
|
||||
pie.set_categories(labels)
|
||||
pie.height = 6.6
|
||||
pie.width = 9
|
||||
s1 = pie.series[0]
|
||||
s1.dLbls = DataLabelList()
|
||||
s1.dLbls.showCatName = False
|
||||
s1.dLbls.showVal = True
|
||||
s1.dLbls.showPercent = True
|
||||
ws.add_chart(pie, 'D' + str(table_start_row_number))
|
||||
|
||||
if len(category_dict_values) < 4:
|
||||
current_row_number = current_row_number - len(category_dict_values) + 4
|
||||
|
||||
current_row_number += 1
|
||||
|
||||
####################################
|
||||
|
||||
has_values_data = True
|
||||
has_timestamps_data = True
|
||||
|
||||
if 'values' not in reporting_period_data.keys() or \
|
||||
reporting_period_data['values'] is None or \
|
||||
len(reporting_period_data['values']) == 0:
|
||||
has_values_data = False
|
||||
|
||||
if 'timestamps' not in reporting_period_data.keys() or \
|
||||
reporting_period_data['timestamps'] is None or \
|
||||
len(reporting_period_data['timestamps']) == 0 or \
|
||||
len(reporting_period_data['timestamps'][0]) == 0:
|
||||
has_timestamps_data = False
|
||||
|
||||
if has_values_data and has_timestamps_data:
|
||||
ca_len = len(reporting_period_data['names'])
|
||||
time = reporting_period_data['timestamps'][0]
|
||||
|
||||
ws['B' + str(current_row_number)].font = title_font
|
||||
ws['B' + str(current_row_number)] = name + ' 详细数据'
|
||||
|
||||
current_row_number += 1
|
||||
|
||||
chart_start_row_number = current_row_number
|
||||
|
||||
current_row_number += ca_len * 6
|
||||
table_start_row_number = current_row_number
|
||||
|
||||
ws.row_dimensions[current_row_number].height = 60
|
||||
ws['B' + str(current_row_number)].fill = table_fill
|
||||
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)] = '日期时间'
|
||||
|
||||
col = 'C'
|
||||
|
||||
for i in range(0, ca_len):
|
||||
ws[col + str(current_row_number)].fill = table_fill
|
||||
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)] = \
|
||||
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
|
|
@ -5,6 +5,7 @@ import config
|
|||
from datetime import datetime, timedelta, timezone
|
||||
from core import utilities
|
||||
from decimal import Decimal
|
||||
import excelexporters.equipmentenergyitem
|
||||
|
||||
|
||||
class Reporting:
|
||||
|
@ -508,4 +509,11 @@ class Reporting:
|
|||
"values": parameters_data['values']
|
||||
}
|
||||
|
||||
# export result to Excel file and then encode the file to base64 string
|
||||
result['excel_bytes_base64'] = excelexporters.equipmentenergyitem.export(result,
|
||||
equipment['name'],
|
||||
reporting_start_datetime_local,
|
||||
reporting_end_datetime_local,
|
||||
period_type)
|
||||
|
||||
resp.body = json.dumps(result)
|
||||
|
|
Loading…
Reference in New Issue