excelexporters.tenantenergyitem.group_by_category() - Code Metrics - Inspection of "Merge branch 'develop'" - myems/myems-api - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( 543cf0...8d30b3 )

by Guangyu

created 2021-02-22 03:55 UTC

group_by_category() A

↳ Parent: excelexporters.tenantenergyitem

Complexity

Conditions

Size

Total Lines	7
Code Lines	7

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	3
eloc	7
nop	1
dl	0
loc	7
rs	10
c	0
b	0
f	0

import base64
import uuid
import os
from openpyxl.chart import (
    PieChart,
    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 = 30

    # 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)
    name_small_font = Font(name='Constantia', size=10, bold=True)
    title_font = Font(name='宋体', size=15, bold=True)
    title_small_font = Font(name='宋体', size=10, 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=False,
                              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.width = img.width * 0.85
    img.height = img.height * 0.85
    # img = Image("myems.png")
    ws.add_image(img, 'B1')

    # Title
    ws.merge_cells('B3:I3')
    ws['B3'].font = name_font
    ws['B3'].alignment = b_c_alignment
    ws['B3'] = 'Name: ' + name + '     Period: ' + period_type + \
               '     Date: ' + reporting_start_datetime_local + "__" + reporting_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

    ##################################

    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['B' + str(current_row_number)].fill = table_fill

        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_small_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)] = \
                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['C' + str(current_row_number)].font = name_small_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], 2)

                current_row_number += 1

            table_end_row_number = current_row_number - 1

            pie = PieChart()
            pie.title = \
                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 = 5.25
            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['B' + str(current_row_number)].fill = table_fill
            ws['B' + str(current_row_number)].font = title_small_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_small_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):
                bar = BarChart()
                bar.title = \
                    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)
                bar_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number)
                bar.add_data(bar_data, titles_from_data=True)
                bar.set_categories(labels)
                bar.height = 5.85
                bar.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number
                if bar.width > 24:
                    bar.width = 24
                bar.dLbls = DataLabelList()
                bar.dLbls.showVal = False
                bar.dLbls.showPercent = True
                chart_col = 'B'
                chart_cell = chart_col + str(chart_start_row_number)
                chart_start_row_number += 6
                ws.add_chart(bar, 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


1		import base64
2		import uuid
3		import os
4		from openpyxl.chart import (
5		PieChart,
6		BarChart,
7		Reference,
8		)
9		from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
10		from openpyxl.drawing.image import Image
11		from openpyxl import Workbook
12		from openpyxl.chart.label import DataLabelList
13
14
15		####################################################################################################################
16		# PROCEDURES
17		# Step 1: Validate the report data
18		# Step 2: Generate excel file
19		# Step 3: Encode the excel file bytes to Base64
20		####################################################################################################################
21
22
23	View Code Duplication	def export(report,
		0 ignored issues – show Duplication introduced 2021-02-22 03:57 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
24		name,
25		reporting_start_datetime_local,
26		reporting_end_datetime_local,
27		period_type):
28		####################################################################################################################
29		# Step 1: Validate the report data
30		####################################################################################################################
31		if report is None:
32		return None
33		print(report)
34
35		####################################################################################################################
36		# Step 2: Generate excel file from the report data
37		####################################################################################################################
38		filename = generate_excel(report,
39		name,
40		reporting_start_datetime_local,
41		reporting_end_datetime_local,
42		period_type)
43		####################################################################################################################
44		# Step 3: Encode the excel file to Base64
45		####################################################################################################################
46		try:
47		with open(filename, 'rb') as binary_file:
48		binary_file_data = binary_file.read()
49		except IOError as ex:
50		pass
51
52		# Base64 encode the bytes
53		base64_encoded_data = base64.b64encode(binary_file_data)
		0 ignored issues – show introduced 2021-02-22 03:57 UTC by Report Bug Copy Issue Report The variable `binary_file_data` does not seem to be defined for all execution paths. Loading history...
54		# get the Base64 encoded data using human-readable characters.
55		base64_message = base64_encoded_data.decode('utf-8')
56		# delete the file from server
57		try:
58		os.remove(filename)
59		except NotImplementedError as ex:
60		pass
61		return base64_message
62
63
64		def generate_excel(report,
65		name,
66		reporting_start_datetime_local,
67		reporting_end_datetime_local,
68		period_type):
69		wb = Workbook()
70		ws = wb.active
71
72		# Row height
73		ws.row_dimensions[1].height = 102
74		for i in range(2, 2000 + 1):
75		ws.row_dimensions[i].height = 30
76
77		# Col width
78		ws.column_dimensions['A'].width = 1.5
79
80		ws.column_dimensions['B'].width = 25.0
81
82		for i in range(ord('C'), ord('L')):
83		ws.column_dimensions[chr(i)].width = 15.0
84
85		# Font
86		name_font = Font(name='Constantia', size=15, bold=True)
87		name_small_font = Font(name='Constantia', size=10, bold=True)
88		title_font = Font(name='宋体', size=15, bold=True)
89		title_small_font = Font(name='宋体', size=10, bold=True)
90		data_font = Font(name='Franklin Gothic Book', size=11)
91
92		table_fill = PatternFill(fill_type='solid', fgColor='1F497D')
93		f_border = Border(left=Side(border_style='medium', color='00000000'),
94		right=Side(border_style='medium', color='00000000'),
95		bottom=Side(border_style='medium', color='00000000'),
96		top=Side(border_style='medium', color='00000000')
97		)
98		b_border = Border(
99		bottom=Side(border_style='medium', color='00000000'),
100		)
101
102		b_c_alignment = Alignment(vertical='bottom',
103		horizontal='center',
104		text_rotation=0,
105		wrap_text=False,
106		shrink_to_fit=False,
107		indent=0)
108		c_c_alignment = Alignment(vertical='center',
109		horizontal='center',
110		text_rotation=0,
111		wrap_text=False,
112		shrink_to_fit=False,
113		indent=0)
114		b_r_alignment = Alignment(vertical='bottom',
115		horizontal='right',
116		text_rotation=0,
117		wrap_text=False,
118		shrink_to_fit=False,
119		indent=0)
120		c_r_alignment = Alignment(vertical='bottom',
121		horizontal='center',
122		text_rotation=0,
123		wrap_text=False,
124		shrink_to_fit=False,
125		indent=0)
126		# Img
127		img = Image("excelexporters/myems.png")
128		img.width = img.width * 0.85
129		img.height = img.height * 0.85
130		# img = Image("myems.png")
131		ws.add_image(img, 'B1')
132
133		# Title
134		ws.merge_cells('B3:I3')
135		ws['B3'].font = name_font
136		ws['B3'].alignment = b_c_alignment
137		ws['B3'] = 'Name: ' + name + ' Period: ' + period_type + \
138		' Date: ' + reporting_start_datetime_local + "__" + reporting_end_datetime_local
139
140		if "reporting_period" not in report.keys() or \
141		"names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
142		filename = str(uuid.uuid4()) + '.xlsx'
		0 ignored issues – show Comprehensibility Best Practice introduced 2021-02-22 03:57 UTC by Report Bug Copy Issue Report The variable `str` does not seem to be defined. Loading history...
143		wb.save(filename)
144
145		return filename
146
147		##################################
148
149		current_row_number = 6
150
151		reporting_period_data = report['reporting_period']
152
153		has_names_data_flag = True
154
155		if "names" not in reporting_period_data.keys() or \
156		reporting_period_data['names'] is None or \
157		len(reporting_period_data['names']) == 0:
158		has_names_data_flag = False
159
160		if has_names_data_flag:
161		ws['B' + str(current_row_number)].font = title_font
162		ws['B' + str(current_row_number)] = name + ' 报告期消耗'
163
164		current_row_number += 1
165
166		category = reporting_period_data['names']
167		ca_len = len(category)
168
169		ws['B' + str(current_row_number)].fill = table_fill
170
171		col = 'C'
172
173		for i in range(0, ca_len):
174		ws[col + str(current_row_number)].fill = table_fill
175		ws[col + str(current_row_number)].font = name_small_font
176		ws[col + str(current_row_number)].alignment = c_c_alignment
177		ws[col + str(current_row_number)].border = f_border
178		ws[col + str(current_row_number)] = \
179		reporting_period_data['names'][i] + " " + reporting_period_data['energy_category_names'][i] + \
180		" (" + reporting_period_data['units'][i] + ")"
181
182		col = chr(ord(col) + 1)
183
184		current_row_number += 1
185
186		ws['B' + str(current_row_number)].font = title_font
187		ws['B' + str(current_row_number)].alignment = c_c_alignment
188		ws['B' + str(current_row_number)].border = f_border
189		ws['B' + str(current_row_number)] = '消耗'
190
191		col = 'C'
192
193		for i in range(0, ca_len):
194		ws[col + str(current_row_number)].font = name_font
195		ws[col + str(current_row_number)].alignment = c_c_alignment
196		ws[col + str(current_row_number)].border = f_border
197		ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
198
199		col = chr(ord(col) + 1)
200
201		current_row_number += 1
202
203		ws['B' + str(current_row_number)].font = title_font
204		ws['B' + str(current_row_number)].alignment = c_c_alignment
205		ws['B' + str(current_row_number)].border = f_border
206		ws['B' + str(current_row_number)] = '单位面积值'
207
208		col = 'C'
209
210		for i in range(0, ca_len):
211		ws[col + str(current_row_number)].font = name_font
212		ws[col + str(current_row_number)].alignment = c_c_alignment
213		ws[col + str(current_row_number)].border = f_border
214		ws[col + str(current_row_number)] = round(reporting_period_data['subtotals_per_unit_area'][i], 2)
215
216		col = chr(ord(col) + 1)
217
218		current_row_number += 1
219
220		ws['B' + str(current_row_number)].font = title_font
221		ws['B' + str(current_row_number)].alignment = c_c_alignment
222		ws['B' + str(current_row_number)].border = f_border
223		ws['B' + str(current_row_number)] = '环比'
224
225		col = 'C'
226
227		for i in range(0, ca_len):
228		ws[col + str(current_row_number)].font = name_font
229		ws[col + str(current_row_number)].alignment = c_c_alignment
230		ws[col + str(current_row_number)].border = f_border
231		ws[col + str(current_row_number)] = str(
232		round(reporting_period_data['increment_rates'][i] * 100, 2)) + '%' \
233		if reporting_period_data['increment_rates'][i] is not None else '-'
234
235		col = chr(ord(col) + 1)
236
237		current_row_number += 2
238
239		category_dict = group_by_category(reporting_period_data['energy_category_names'])
240
241		for category_dict_name, category_dict_values in category_dict.items():
242
243		ws['B' + str(current_row_number)].font = title_font
244		ws['B' + str(current_row_number)] = \
245		category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \
246		') 分项消耗占比'
247
248		current_row_number += 1
249		table_start_row_number = current_row_number
250
251		ws['B' + str(current_row_number)].fill = table_fill
252
253		ws['C' + str(current_row_number)].font = name_small_font
254		ws['C' + str(current_row_number)].fill = table_fill
255		ws['C' + str(current_row_number)].alignment = c_c_alignment
256		ws['C' + str(current_row_number)].border = f_border
257		ws['C' + str(current_row_number)] = '消耗'
258
259		current_row_number += 1
260
261		for i in category_dict_values:
262		ws['B' + str(current_row_number)].font = title_font
263		ws['B' + str(current_row_number)].alignment = c_c_alignment
264		ws['B' + str(current_row_number)].border = f_border
265		ws['B' + str(current_row_number)] = \
266		reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
267		ws['C' + str(current_row_number)].font = name_font
268		ws['C' + str(current_row_number)].alignment = c_c_alignment
269		ws['C' + str(current_row_number)].border = f_border
270		ws['C' + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
271
272		current_row_number += 1
273
274		table_end_row_number = current_row_number - 1
275
276		pie = PieChart()
277		pie.title = \
278		category_dict_name + ' (' + reporting_period_data['units'][category_dict_values[0]] + \
279		') 分项消耗占比'
280		labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
281		pie_data = Reference(ws, min_col=3, min_row=table_start_row_number, max_row=table_end_row_number)
282		pie.add_data(pie_data, titles_from_data=True)
283		pie.set_categories(labels)
284		pie.height = 5.25
285		pie.width = 9
286		s1 = pie.series[0]
287		s1.dLbls = DataLabelList()
288		s1.dLbls.showCatName = False
289		s1.dLbls.showVal = True
290		s1.dLbls.showPercent = True
291		ws.add_chart(pie, 'D' + str(table_start_row_number))
292
293		if len(category_dict_values) < 4:
294		current_row_number = current_row_number - len(category_dict_values) + 4
295
296		current_row_number += 1
297
298		#######################
299
300		has_values_data = True
301		has_timestamps_data = True
302
303		if 'values' not in reporting_period_data.keys() or \
304		reporting_period_data['values'] is None or \
305		len(reporting_period_data['values']) == 0:
306		has_values_data = False
307
308		if 'timestamps' not in reporting_period_data.keys() or \
309		reporting_period_data['timestamps'] is None or \
310		len(reporting_period_data['timestamps']) == 0 or \
311		len(reporting_period_data['timestamps'][0]) == 0:
312		has_timestamps_data = False
313
314	View Code Duplication	if has_values_data and has_timestamps_data:
		0 ignored issues – show Duplication introduced 2021-02-22 03:57 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
315		ca_len = len(reporting_period_data['names'])
316		time = reporting_period_data['timestamps'][0]
317
318		ws['B' + str(current_row_number)].font = title_font
319		ws['B' + str(current_row_number)] = name + ' 详细数据'
320
321		current_row_number += 1
322
323		chart_start_row_number = current_row_number
324
325		current_row_number += ca_len * 6
326		table_start_row_number = current_row_number
327
328		ws['B' + str(current_row_number)].fill = table_fill
329		ws['B' + str(current_row_number)].font = title_small_font
330		ws['B' + str(current_row_number)].alignment = c_c_alignment
331		ws['B' + str(current_row_number)].border = f_border
332		ws['B' + str(current_row_number)] = '日期时间'
333
334		col = 'C'
335
336		for i in range(0, ca_len):
337		ws[col + str(current_row_number)].fill = table_fill
338		ws[col + str(current_row_number)].font = title_small_font
339		ws[col + str(current_row_number)].alignment = c_c_alignment
340		ws[col + str(current_row_number)].border = f_border
341		ws[col + str(current_row_number)] = \
342		reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
343		col = chr(ord(col) + 1)
344
345		current_row_number += 1
346
347		for i in range(0, len(time)):
348		ws['B' + str(current_row_number)].font = title_font
349		ws['B' + str(current_row_number)].alignment = c_c_alignment
350		ws['B' + str(current_row_number)].border = f_border
351		ws['B' + str(current_row_number)] = time[i]
352
353		col = 'C'
354		for j in range(0, ca_len):
355		ws[col + str(current_row_number)].font = title_font
356		ws[col + str(current_row_number)].alignment = c_c_alignment
357		ws[col + str(current_row_number)].border = f_border
358		ws[col + str(current_row_number)] = round(reporting_period_data['values'][j][i], 2) \
359		if reporting_period_data['values'][j][i] is not None else 0.00
360		col = chr(ord(col) + 1)
361
362		current_row_number += 1
363
364		table_end_row_number = current_row_number - 1
365
366		ws['B' + str(current_row_number)].font = title_font
367		ws['B' + str(current_row_number)].alignment = c_c_alignment
368		ws['B' + str(current_row_number)].border = f_border
369		ws['B' + str(current_row_number)] = '小计'
370
371		col = 'C'
372
373		for i in range(0, ca_len):
374		ws[col + str(current_row_number)].font = title_font
375		ws[col + str(current_row_number)].alignment = c_c_alignment
376		ws[col + str(current_row_number)].border = f_border
377		ws[col + str(current_row_number)] = round(reporting_period_data['subtotals'][i], 2)
378		col = chr(ord(col) + 1)
379
380		current_row_number += 2
381
382		format_time_width_number = 1.0
383		min_len_number = 1.0
384		min_width_number = 11.0 # format_time_width_number * min_len_number + 4 and min_width_number > 11.0
385
386		if period_type == 'hourly':
387		format_time_width_number = 4.0
388		min_len_number = 2
389		min_width_number = 12.0
390		elif period_type == 'daily':
391		format_time_width_number = 2.5
392		min_len_number = 4
393		min_width_number = 14.0
394		elif period_type == 'monthly':
395		format_time_width_number = 2.1
396		min_len_number = 4
397		min_width_number = 12.4
398		elif period_type == 'yearly':
399		format_time_width_number = 1.5
400		min_len_number = 5
401		min_width_number = 11.5
402
403		for i in range(0, ca_len):
404		bar = BarChart()
405		bar.title = \
406		reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + ")"
407		labels = Reference(ws, min_col=2, min_row=table_start_row_number + 1, max_row=table_end_row_number)
408		bar_data = Reference(ws, min_col=3 + i, min_row=table_start_row_number, max_row=table_end_row_number)
409		bar.add_data(bar_data, titles_from_data=True)
410		bar.set_categories(labels)
411		bar.height = 5.85
412		bar.width = format_time_width_number * len(time) if len(time) > min_len_number else min_width_number
413		if bar.width > 24:
414		bar.width = 24
415		bar.dLbls = DataLabelList()
416		bar.dLbls.showVal = False
417		bar.dLbls.showPercent = True
418		chart_col = 'B'
419		chart_cell = chart_col + str(chart_start_row_number)
420		chart_start_row_number += 6
421		ws.add_chart(bar, chart_cell)
422
423		filename = str(uuid.uuid4()) + '.xlsx'
424		wb.save(filename)
425
426		return filename
427
428
429		def group_by_category(category_list):
430		category_dict = dict()
431		for i, value in enumerate(category_list):
432		if value not in category_dict.keys():
433		category_dict[value] = list()
434		category_dict[value].append(i)
435		return category_dict
436

myems / myems-api

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group_by_category() A

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