myems-api/excelexporters/combinedequipmentload.py
import base64
from core.utilities import get_translation
import os
import re
import uuid
import openpyxl.utils.cell as format_cell
from openpyxl import Workbook
from openpyxl.chart import LineChart, Reference
from openpyxl.chart.label import DataLabelList
from openpyxl.drawing.image import Image
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
from core.utilities import round2
########################################################################################################################
# PROCEDURES
# Step 1: Validate the report data
# Step 2: Generate excel file
# Step 3: Encode the excel file to Base64
########################################################################################################################
def export(report,
name,
base_period_start_datetime_local,
base_period_end_datetime_local,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type,
language):
####################################################################################################################
# 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,
base_period_start_datetime_local,
base_period_end_datetime_local,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type,
language)
####################################################################################################################
# Step 3: Encode the excel file to Base64
####################################################################################################################
binary_file_data = b''
try:
with open(filename, 'rb') as binary_file:
binary_file_data = binary_file.read()
except IOError as ex:
print(str(ex))
# 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:
print(str(ex))
return base64_message
def generate_excel(report,
name,
base_period_start_datetime_local,
base_period_end_datetime_local,
reporting_start_datetime_local,
reporting_end_datetime_local,
period_type,
language):
trans = get_translation(language)
trans.install()
_ = trans.gettext
wb = Workbook()
ws = wb.active
ws.title = "CombinedEquipmentLoad"
# 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('Z')):
ws.column_dimensions[chr(i)].width = 15.0
# Font
name_font = Font(name='Arial', size=15, bold=True)
title_font = Font(name='Arial', size=15, bold=True)
table_fill = PatternFill(fill_type='solid', fgColor='90ee90')
f_border = Border(left=Side(border_style='medium'),
right=Side(border_style='medium'),
bottom=Side(border_style='medium'),
top=Side(border_style='medium')
)
b_border = Border(
bottom=Side(border_style='medium'),
)
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)
# Img
img = Image("excelexporters/myems.png")
ws.add_image(img, 'A1')
# Title
ws['B3'].alignment = b_r_alignment
ws['B3'] = _('Name') + ':'
ws['C3'].border = b_border
ws['C3'].alignment = b_c_alignment
ws['C3'] = name
ws['D3'].alignment = b_r_alignment
ws['D3'] = _('Period Type') + ':'
ws['E3'].border = b_border
ws['E3'].alignment = b_c_alignment
ws['E3'] = period_type
ws['B4'].alignment = b_r_alignment
ws['B4'] = _('Reporting Start Datetime') + ':'
ws['C4'].border = b_border
ws['C4'].alignment = b_c_alignment
ws['C4'] = reporting_start_datetime_local
ws['D4'].alignment = b_r_alignment
ws['D4'] = _('Reporting End Datetime') + ':'
ws['E4'].border = b_border
ws['E4'].alignment = b_c_alignment
ws['E4'] = reporting_end_datetime_local
is_base_period_timestamp_exists_flag = is_base_period_timestamp_exists(report['base_period'])
if is_base_period_timestamp_exists_flag:
ws['B5'].alignment = b_r_alignment
ws['B5'] = _('Base Period Start Datetime') + ':'
ws['C5'].border = b_border
ws['C5'].alignment = b_c_alignment
ws['C5'] = base_period_start_datetime_local
ws['D5'].alignment = b_r_alignment
ws['D5'] = _('Base Period End Datetime') + ':'
ws['E5'].border = b_border
ws['E5'].alignment = b_c_alignment
ws['E5'] = base_period_end_datetime_local
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: Load
# 7: title
# 8: table title
# 9~2*ca_len table_data
####################################################################################################################
reporting_period_data = report['reporting_period']
if "names" not in reporting_period_data.keys() or \
reporting_period_data['names'] is None or \
len(reporting_period_data['names']) == 0:
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
ws['B7'].font = title_font
ws['B7'] = name + ' ' + _('Load')
category = reporting_period_data['names']
# table_title
ws['B8'].fill = table_fill
ws['B8'].font = title_font
ws['B8'].alignment = c_c_alignment
ws['B8'] = _('Reporting Period')
ws['B8'].border = f_border
ws['C8'].font = title_font
ws['C8'].alignment = c_c_alignment
ws['C8'] = _('Average Load')
ws['C8'].border = f_border
ws['D8'].font = title_font
ws['D8'].alignment = c_c_alignment
ws['D8'] = _('Maximum Load')
ws['D8'].border = f_border
ws['E8'].font = title_font
ws['E8'].alignment = c_c_alignment
ws['E8'] = _('Load Factor')
ws['E8'].border = f_border
# table_data
for i, value in enumerate(category):
row = i * 2 + 9
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)] = _('Increment Rate')
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)] = round2(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(round2(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)] = round2(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(round2(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)] = round2(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(round2(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
####################################################################################################################
# Third: Detailed Data
# analysis_end_row_number~ analysis_end_row_number + 6*cal_len: line
# detailed_start_row_number: table title
# detailed_start_row_number + 1~: table_data
####################################################################################################################
current_row_number = len(category) * 2 + 9 + 1
has_sub_averages_data_flag = True
has_sub_maximums_data_flag = True
if "sub_averages" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_averages']) == 0:
has_sub_averages_data_flag = False
if "sub_maximums" not in report['reporting_period'].keys() or len(report['reporting_period']['sub_maximums']) == 0:
has_sub_maximums_data_flag = False
current_chart_row_number = current_row_number
if has_sub_averages_data_flag or has_sub_maximums_data_flag:
if not is_base_period_timestamp_exists_flag:
reporting_period_data = report['reporting_period']
category = reporting_period_data['names']
ca_len = len(category)
times = reporting_period_data['timestamps']
time = times[0]
real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps'])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + _('Detailed Data')
current_row_number += 1
chart_start_number = current_row_number
# 1: Stand for blank line 2: Stand for title
current_row_number += real_timestamps_len * 6 + 1 + 2
if has_sub_averages_data_flag:
current_row_number = (current_row_number + ca_len * 6)
if has_sub_maximums_data_flag:
current_row_number = (current_row_number + ca_len * 6)
table_start_number = current_row_number
ws.row_dimensions[current_row_number].height = 60
current_col_number = 2
col = format_cell.get_column_letter(current_col_number)
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)] = _('Datetime')
current_col_number = 3
col = format_cell.get_column_letter(current_col_number)
for i in range(0, ca_len):
if has_sub_averages_data_flag:
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] + \
" " + _('Average Load') + "(" + reporting_period_data['units'][
i] + "/H)"
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
if has_sub_maximums_data_flag:
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] + \
" " + _('Maximum Load') + "(" + reporting_period_data['units'][
i] + "/H)"
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
current_row_number += 1
for i in range(0, len(time)):
current_col_number = 2
col = format_cell.get_column_letter(current_col_number)
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)] = time[i]
current_col_number = 3
col = format_cell.get_column_letter(current_col_number)
for j in range(0, ca_len):
if has_sub_averages_data_flag:
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)] = round2(reporting_period_data['sub_averages'][j][i], 2) \
if reporting_period_data['sub_averages'][j][i] is not None else None
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
if has_sub_maximums_data_flag:
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)] = round2(reporting_period_data['sub_maximums'][j][i], 2) \
if reporting_period_data['sub_maximums'][j][i] is not None else None
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
current_row_number += 1
table_end_number = current_row_number - 1
current_chart_col_number = 3
current_chart_row_number = chart_start_number
for i in range(0, ca_len):
labels = Reference(ws, min_col=2, min_row=table_start_number + 1, max_row=table_end_number)
if has_sub_averages_data_flag:
line = LineChart()
line.title = _('Reporting Period Average Load') + ' - ' \
+ reporting_period_data['names'][i] + \
" " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)"
datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number,
max_row=table_end_number)
line.add_data(datas, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
ws.add_chart(line, "B" + str(current_chart_row_number))
current_chart_row_number += 6
current_chart_col_number += 1
if has_sub_maximums_data_flag:
line = LineChart()
line.title = _('Reporting Period Maximum Load') + ' - ' \
+ reporting_period_data['names'][i] + \
" " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)"
datas = Reference(ws, min_col=current_chart_col_number, min_row=table_start_number,
max_row=table_end_number)
line.add_data(datas, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
ws.add_chart(line, "B" + str(current_chart_row_number))
current_chart_row_number += 6
current_chart_col_number += 1
current_row_number += 1
else:
base_period_data = report['base_period']
reporting_period_data = report['reporting_period']
base_period_timestamps = base_period_data['timestamps']
reporting_period_timestamps = reporting_period_data['timestamps']
# Tip:
# base_period_data['names'] == reporting_period_data['names']
# base_period_data['units'] == reporting_period_data['units']
base_period_data_ca_len = len(base_period_data['names'])
reporting_period_data_ca_len = len(reporting_period_data['names'])
real_timestamps_len = timestamps_data_not_equal_0(report['parameters']['timestamps'])
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + _('Detailed Data')
current_row_number += 1
chart_start_number = current_row_number
# 1: Stand for blank line 2: Stand for title
current_row_number += real_timestamps_len * 6 + 1 + 2
if has_sub_averages_data_flag:
current_row_number = (current_row_number + reporting_period_data_ca_len * 6)
if has_sub_maximums_data_flag:
current_row_number = (current_row_number + reporting_period_data_ca_len * 6)
table_start_row_number = current_row_number
has_data = False
if len(base_period_timestamps[0]) or len(reporting_period_timestamps[0]) > 0:
has_data = True
if has_data:
ws.row_dimensions[current_row_number].height = 60
current_col_number = 2
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)] = _('Base Period') + " - " + _('Datetime')
for i in range(0, base_period_data_ca_len):
if has_sub_averages_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = _('Base Period') + " - " \
+ base_period_data['names'][i] + \
" " + _('Average Load') + "(" + base_period_data['units'][
i] + "/H)"
ws[col + str(current_row_number)].border = f_border
if has_sub_maximums_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = _('Base Period') + " - " \
+ base_period_data['names'][i] + \
" " + _('Maximum Load') + "(" + base_period_data['units'][
i] + "/H)"
ws[col + str(current_row_number)].border = f_border
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
ws[col + str(current_row_number)].fill = table_fill
ws[col + str(current_row_number)].font = title_font
ws[col + str(current_row_number)].border = f_border
ws[col + str(current_row_number)].alignment = c_c_alignment
ws[col + str(current_row_number)] = _('Reporting Period') + " - " + _('Datetime')
for i in range(0, reporting_period_data_ca_len):
if has_sub_averages_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = _('Reporting Period') + " - " \
+ reporting_period_data['names'][i] + \
" " + _('Average Load') + "(" + \
reporting_period_data['units'][i] + "/H)"
ws[col + str(current_row_number)].border = f_border
if has_sub_maximums_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = _('Reporting Period') + " - " \
+ reporting_period_data['names'][i] + \
" " + _('Maximum Load') + "(" + \
reporting_period_data['units'][i] + "/H)"
ws[col + str(current_row_number)].border = f_border
current_row_number += 1
max_timestamps_len = len(base_period_timestamps[0]) \
if len(base_period_timestamps[0]) >= len(reporting_period_timestamps[0]) \
else len(reporting_period_timestamps[0])
for i in range(0, max_timestamps_len):
current_col_number = 2
col = format_cell.get_column_letter(current_col_number)
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)] = base_period_timestamps[0][i] \
if i < len(base_period_timestamps[0]) else None
ws[col + str(current_row_number)].border = f_border
for j in range(0, base_period_data_ca_len):
if has_sub_averages_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = round2(base_period_data['sub_averages'][j][i], 2) \
if i < len(base_period_data['sub_averages'][j]) \
and base_period_data['sub_averages'][j][i] is not None else None
ws[col + str(current_row_number)].border = f_border
if has_sub_maximums_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = round2(base_period_data['sub_maximums'][j][i], 2) \
if i < len(base_period_data['sub_maximums'][j]) \
and base_period_data['sub_averages'][j][i] is not None else None
ws[col + str(current_row_number)].border = f_border
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = reporting_period_timestamps[0][i] \
if i < len(reporting_period_timestamps[0]) else None
ws[col + str(current_row_number)].border = f_border
for j in range(0, reporting_period_data_ca_len):
if has_sub_averages_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = round2(reporting_period_data['sub_averages'][j][i], 2) \
if i < len(reporting_period_data['sub_averages'][j]) \
and reporting_period_data['sub_averages'][j][i] is not None else None
ws[col + str(current_row_number)].border = f_border
if has_sub_maximums_data_flag:
current_col_number += 1
col = format_cell.get_column_letter(current_col_number)
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)] = round2(reporting_period_data['sub_maximums'][j][i], 2) \
if i < len(reporting_period_data['sub_maximums'][j]) \
and reporting_period_data['sub_maximums'][j][i] is not None else None
ws[col + str(current_row_number)].border = f_border
current_row_number += 1
current_chart_col_number = 3
current_chart_row_number = chart_start_number
for i in range(0, reporting_period_data_ca_len):
labels = Reference(ws, min_col=2 + base_period_data_ca_len * 2 + 1,
min_row=table_start_row_number + 1,
max_row=table_start_row_number + len(reporting_period_timestamps[0]))
if has_sub_averages_data_flag:
# line
line = LineChart()
line.title = _('Base Period Average Load') + ' / ' \
+ _('Reporting Period Average Load') + ' - ' \
+ reporting_period_data['names'][i] + \
" " + _('Average Load') + "(" + reporting_period_data['units'][i] + "/H)"
base_line_data = Reference(ws,
min_col=current_chart_col_number,
min_row=table_start_row_number,
max_row=table_start_row_number
+ len(reporting_period_timestamps[0]))
data_distance = base_period_data_ca_len
if has_sub_maximums_data_flag:
data_distance *= 2
reporting_line_data = Reference(ws,
min_col=current_chart_col_number + data_distance + 1,
min_row=table_start_row_number,
max_row=table_start_row_number
+ len(reporting_period_timestamps[0]))
line.add_data(base_line_data, titles_from_data=True)
line.add_data(reporting_line_data, titles_from_data=True)
line.set_categories(labels)
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(current_chart_row_number)
ws.add_chart(line, chart_cell)
current_chart_row_number += 6
current_chart_col_number += 1
if has_sub_maximums_data_flag:
# line
line = LineChart()
line.title = _('Base Period Maximum Load') + ' / ' \
+ _('Reporting Period Maximum Load') + ' - ' \
+ reporting_period_data['names'][i] + \
" " + _('Maximum Load') + "(" + reporting_period_data['units'][i] + "/H)"
base_line_data = Reference(ws,
min_col=current_chart_col_number,
min_row=table_start_row_number,
max_row=table_start_row_number
+ len(reporting_period_timestamps[0]))
data_distance = base_period_data_ca_len
if has_sub_averages_data_flag:
data_distance *= 2
reporting_line_data = Reference(ws,
min_col=current_chart_col_number + data_distance + 1,
min_row=table_start_row_number,
max_row=table_start_row_number
+ len(reporting_period_timestamps[0]))
line.add_data(base_line_data, titles_from_data=True)
line.add_data(reporting_line_data, titles_from_data=True)
line.set_categories(labels)
for j in range(len(line.series)):
line.series[j].marker.symbol = "circle"
line.series[j].smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = True
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(current_chart_row_number)
ws.add_chart(line, chart_cell)
current_chart_row_number += 6
current_chart_col_number += 1
current_row_number += 1
####################################################################################################################
has_associated_equipment_flag = True
if "associated_equipment" not in report.keys() or \
"energy_category_names" not in report['associated_equipment'].keys() or \
len(report['associated_equipment']["energy_category_names"]) == 0 \
or 'associated_equipment_names_array' not in report['associated_equipment'].keys() \
or report['associated_equipment']['associated_equipment_names_array'] is None \
or len(report['associated_equipment']['associated_equipment_names_array']) == 0 \
or len(report['associated_equipment']['associated_equipment_names_array'][0]) == 0:
has_associated_equipment_flag = False
if has_associated_equipment_flag:
names = report['associated_equipment']['energy_category_names']
associated_equipment = report['associated_equipment']
ws['B' + str(current_row_number)].font = title_font
ws['B' + str(current_row_number)] = name + ' ' + _('Associated Equipment Data')
current_row_number += 1
ws.row_dimensions[current_row_number].height = 60
ws['B' + str(current_row_number)].fill = table_fill
ws['B' + str(current_row_number)].font = name_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)] = _('Associated Equipment')
ca_len = len(associated_equipment['energy_category_names'])
for i in range(0, ca_len):
col_average = chr(ord('C') + 2 * i)
col_maximum = chr(ord('D') + 2 * i)
ws[col_average + str(current_row_number)].font = name_font
ws[col_average + str(current_row_number)].alignment = c_c_alignment
ws[col_average + str(current_row_number)] = names[i] + " " + _('Average Load') + "(" + \
associated_equipment['units'][i] + "/H)"
ws[col_average + str(current_row_number)].border = f_border
ws[col_maximum + str(current_row_number)].font = name_font
ws[col_maximum + str(current_row_number)].alignment = c_c_alignment
ws[col_maximum + str(current_row_number)] = names[i] + " " + _('Maximum Load') + "(" + \
associated_equipment['units'][i] + "/H)"
ws[col_maximum + str(current_row_number)].border = f_border
# table_data
associated_equipment_len = len(associated_equipment['associated_equipment_names_array'][0])
for j in range(0, associated_equipment_len):
current_row_number += 1
rows = str(current_row_number)
ws['B' + rows].font = title_font
ws['B' + rows].alignment = c_c_alignment
ws['B' + rows] = associated_equipment['associated_equipment_names_array'][0][j]
ws['B' + rows].border = f_border
for index in range(0, ca_len):
col_average = chr(ord('C') + 2 * index)
col_maximum = chr(ord('D') + 2 * index)
ws[col_average + str(rows)].font = name_font
ws[col_average + str(rows)].alignment = c_c_alignment
ws[col_average + str(rows)] = associated_equipment['sub_averages_array'][index][j] \
if associated_equipment['sub_averages_array'][index][j] 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)] = associated_equipment['sub_maximums_array'][index][j] \
if associated_equipment['sub_maximums_array'][index][j] is not None else ''
ws[col_maximum + str(rows)].number_format = '0.00'
ws[col_maximum + str(rows)].border = f_border
####################################################################################################################
current_sheet_parameters_row_number = current_chart_row_number + 1
if 'parameters' not in report.keys() or \
report['parameters'] is None or \
'names' not in report['parameters'].keys() or \
report['parameters']['names'] is None or \
len(report['parameters']['names']) == 0 or \
'timestamps' not in report['parameters'].keys() or \
report['parameters']['timestamps'] is None or \
len(report['parameters']['timestamps']) == 0 or \
'values' not in report['parameters'].keys() or \
report['parameters']['values'] is None or \
len(report['parameters']['values']) == 0 or \
timestamps_data_all_equal_0(report['parameters']['timestamps']):
pass
else:
################################################################################################################
# new worksheet
################################################################################################################
parameters_data = report['parameters']
parameters_names_len = len(parameters_data['names'])
file_name = (re.sub(r'[^A-Z]', '', ws.title))+'_'
parameters_ws = wb.create_sheet(file_name + _('Parameters'))
parameters_timestamps_data_max_len = \
get_parameters_timestamps_lists_max_len(list(parameters_data['timestamps']))
# Row height
parameters_ws.row_dimensions[1].height = 102
for i in range(2, 7 + 1):
parameters_ws.row_dimensions[i].height = 42
for i in range(8, parameters_timestamps_data_max_len + 10):
parameters_ws.row_dimensions[i].height = 60
# Col width
parameters_ws.column_dimensions['A'].width = 1.5
parameters_ws.column_dimensions['B'].width = 25.0
for i in range(3, 12+parameters_names_len*3):
parameters_ws.column_dimensions[format_cell.get_column_letter(i)].width = 15.0
# Img
img = Image("excelexporters/myems.png")
parameters_ws.add_image(img, 'A1')
# Title
parameters_ws['B3'].alignment = b_r_alignment
parameters_ws['B3'] = _('Name') + ':'
parameters_ws['C3'].border = b_border
parameters_ws['C3'].alignment = b_c_alignment
parameters_ws['C3'] = name
parameters_ws['D3'].alignment = b_r_alignment
parameters_ws['D3'] = _('Period Type') + ':'
parameters_ws['E3'].border = b_border
parameters_ws['E3'].alignment = b_c_alignment
parameters_ws['E3'] = period_type
parameters_ws['B4'].alignment = b_r_alignment
parameters_ws['B4'] = _('Reporting Start Datetime') + ':'
parameters_ws['C4'].border = b_border
parameters_ws['C4'].alignment = b_c_alignment
parameters_ws['C4'] = reporting_start_datetime_local
parameters_ws['D4'].alignment = b_r_alignment
parameters_ws['D4'] = _('Reporting End Datetime') + ':'
parameters_ws['E4'].border = b_border
parameters_ws['E4'].alignment = b_c_alignment
parameters_ws['E4'] = reporting_end_datetime_local
parameters_ws_current_row_number = 6
parameters_ws['B' + str(parameters_ws_current_row_number)].font = title_font
parameters_ws['B' + str(parameters_ws_current_row_number)] = name + ' ' + _('Parameters')
parameters_ws_current_row_number += 1
parameters_table_start_row_number = parameters_ws_current_row_number
parameters_ws.row_dimensions[parameters_ws_current_row_number].height = 80
parameters_ws_current_row_number += 1
table_current_col_number = 2
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(parameters_ws_current_row_number-1)].fill = table_fill
parameters_ws[col + str(parameters_ws_current_row_number-1)].border = f_border
parameters_ws[col + str(parameters_ws_current_row_number-1)].font = name_font
parameters_ws[col + str(parameters_ws_current_row_number-1)].alignment = c_c_alignment
parameters_ws[col + str(parameters_ws_current_row_number-1)] = parameters_data['names'][i]
table_current_row_number = parameters_ws_current_row_number
for j, value in enumerate(list(parameters_data['timestamps'][i])):
col = format_cell.get_column_letter(table_current_col_number)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = value
col = format_cell.get_column_letter(table_current_col_number + 1)
parameters_ws[col + str(table_current_row_number)].border = f_border
parameters_ws[col + str(table_current_row_number)].font = title_font
parameters_ws[col + str(table_current_row_number)].alignment = c_c_alignment
parameters_ws[col + str(table_current_row_number)] = round2(parameters_data['values'][i][j], 2)
table_current_row_number += 1
table_current_col_number = table_current_col_number + 3
################################################################################################################
# parameters chart and parameters table
################################################################################################################
ws['B' + str(current_sheet_parameters_row_number)].font = title_font
ws['B' + str(current_sheet_parameters_row_number)] = name + ' ' + _('Parameters')
current_sheet_parameters_row_number += 1
chart_start_row_number = current_sheet_parameters_row_number
col_index = 0
for i in range(0, parameters_names_len):
if len(parameters_data['timestamps'][i]) == 0:
continue
line = LineChart()
data_col = 3+col_index*3
labels_col = 2+col_index*3
col_index += 1
line.title = _('Parameters') + ' - ' + \
parameters_ws.cell(row=parameters_table_start_row_number, column=data_col).value
labels = Reference(parameters_ws, min_col=labels_col, min_row=parameters_table_start_row_number + 1,
max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number))
line_data = Reference(parameters_ws, min_col=data_col, min_row=parameters_table_start_row_number,
max_row=(len(parameters_data['timestamps'][i])+parameters_table_start_row_number))
line.add_data(line_data, titles_from_data=True)
line.set_categories(labels)
line_data = line.series[0]
line_data.marker.symbol = "circle"
line_data.smooth = True
line.x_axis.crosses = 'min'
line.height = 8.25
line.width = 24
line.dLbls = DataLabelList()
line.dLbls.dLblPos = 't'
line.dLbls.showVal = False
line.dLbls.showPercent = False
chart_col = 'B'
chart_cell = chart_col + str(chart_start_row_number)
chart_start_row_number += 6
ws.add_chart(line, chart_cell)
current_sheet_parameters_row_number = chart_start_row_number
current_sheet_parameters_row_number += 1
####################################################################################################################
filename = str(uuid.uuid4()) + '.xlsx'
wb.save(filename)
return filename
def get_parameters_timestamps_lists_max_len(parameters_timestamps_lists):
max_len = 0
for i, value in enumerate(list(parameters_timestamps_lists)):
if len(value) > max_len:
max_len = len(value)
return max_len
def timestamps_data_all_equal_0(lists):
for i, value in enumerate(list(lists)):
if len(value) > 0:
return False
return True
def timestamps_data_not_equal_0(lists):
number = 0
for i, value in enumerate(list(lists)):
if len(value) > 0:
number += 1
return number
def is_base_period_timestamp_exists(base_period_data):
timestamps = base_period_data['timestamps']
if len(timestamps) == 0:
return False
for timestamp in timestamps:
if len(timestamp) > 0:
return True
return False