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excelexporters.storestatistics.generate_excel()   F

Complexity

Conditions 47

Size

Total Lines 467
Code Lines 349

Duplication

Lines 467
Ratio 100 %

Importance

Changes 0
Metric Value
cc 47
eloc 349
nop 5
dl 467
loc 467
rs 0
c 0
b 0
f 0

How to fix   Long Method    Complexity   

Long Method

Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.

For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.

Commonly applied refactorings include:

Complexity

Complex classes like excelexporters.storestatistics.generate_excel() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.

Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.

1
import base64
2
import os
3
import uuid
4
5
from openpyxl import Workbook
6
from openpyxl.chart import (
7
    LineChart,
8
    Reference,
9
)
10
from openpyxl.drawing.image import Image
11
from openpyxl.styles import PatternFill, Border, Side, Alignment, Font
12
13
14
####################################################################################################################
15
# PROCEDURES
16
# Step 1: Validate the report data
17
# Step 2: Generate excel file
18
# Step 3: Encode the excel file bytes to Base64
19
####################################################################################################################
20
21
22 View Code Duplication
def export(report,
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23
           name,
24
           reporting_start_datetime_local,
25
           reporting_end_datetime_local,
26
           period_type):
27
    ####################################################################################################################
28
    # Step 1: Validate the report data
29
    ####################################################################################################################
30
    if report is None:
31
        return None
32
    print(report)
33
34
    ####################################################################################################################
35
    # Step 2: Generate excel file from the report data
36
    ####################################################################################################################
37
    filename = generate_excel(report,
38
                              name,
39
                              reporting_start_datetime_local,
40
                              reporting_end_datetime_local,
41
                              period_type)
42
    ####################################################################################################################
43
    # Step 3: Encode the excel file to Base64
44
    ####################################################################################################################
45
    try:
46
        with open(filename, 'rb') as binary_file:
47
            binary_file_data = binary_file.read()
48
    except IOError as ex:
49
        pass
50
51
    # Base64 encode the bytes
52
    base64_encoded_data = base64.b64encode(binary_file_data)
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53
    # get the Base64 encoded data using human-readable characters.
54
    base64_message = base64_encoded_data.decode('utf-8')
55
    # delete the file from server
56
    try:
57
        os.remove(filename)
58
    except NotImplementedError as ex:
59
        pass
60
    return base64_message
61
62
63 View Code Duplication
def generate_excel(report,
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64
                   name,
65
                   reporting_start_datetime_local,
66
                   reporting_end_datetime_local,
67
                   period_type):
68
    wb = Workbook()
69
    ws = wb.active
70
71
    # Row height
72
    ws.row_dimensions[1].height = 121
73
74
    for i in range(2, 37 + 1):
75
        ws.row_dimensions[i].height = 30
76
77
    for i in range(38, 90 + 1):
78
        ws.row_dimensions[i].height = 30
79
80
    # Col width
81
    ws.column_dimensions['A'].width = 1.5
82
    ws.column_dimensions['B'].width = 20.0
83
84
    for i in range(ord('C'), ord('I')):
85
        ws.column_dimensions[chr(i)].width = 15.0
86
87
    # Font
88
    name_font = Font(name='Constantia', size=15, bold=True)
89
    title_font = Font(name='宋体', size=15, 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
127
    # Img
128
    img = Image("excelexporters/myems.png")
129
    # img = Image("myems.png")
130
    ws.add_image(img, 'B1')
131
132
    # Title
133
    ws['B3'].font = name_font
134
    ws['B3'].alignment = b_r_alignment
135
    ws['B3'] = 'Name:'
136
    ws['C3'].border = b_border
137
    ws['C3'].alignment = b_c_alignment
138
    ws['C3'].font = name_font
139
    ws['C3'] = name
140
141
    ws['D3'].font = name_font
142
    ws['D3'].alignment = b_r_alignment
143
    ws['D3'] = 'Period:'
144
    ws['E3'].border = b_border
145
    ws['E3'].alignment = b_c_alignment
146
    ws['E3'].font = name_font
147
    ws['E3'] = period_type
148
149
    ws['F3'].font = name_font
150
    ws['F3'].alignment = b_r_alignment
151
    ws['F3'] = 'Date:'
152
    ws['G3'].border = b_border
153
    ws['G3'].alignment = b_c_alignment
154
    ws['G3'].font = name_font
155
    ws['G3'] = reporting_start_datetime_local + "__" + reporting_end_datetime_local
156
    ws.merge_cells("G3:H3")
157
158
    if "reporting_period" not in report.keys() or \
159
            "names" not in report['reporting_period'].keys() or len(report['reporting_period']['names']) == 0:
160
        filename = str(uuid.uuid4()) + '.xlsx'
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161
        wb.save(filename)
162
163
        return filename
164
    #################################################
165
    # First: 统计分析
166
    # 6: title
167
    # 7: table title
168
    # 8~ca_len table_data
169
    #################################################
170
    reporting_period_data = report['reporting_period']
171
172
    has_energy_data_flag = True
173
174
    if "names" not in reporting_period_data.keys() or \
175
            reporting_period_data['names'] is None or \
176
            len(reporting_period_data['names']) == 0:
177
        has_energy_data_flag = False
178
179
        filename = str(uuid.uuid4()) + '.xlsx'
180
        wb.save(filename)
181
182
        return filename
183
184
    if has_energy_data_flag:
185
        ws['B6'].font = title_font
186
        ws['B6'] = name + ' 统计分析'
187
188
        category = reporting_period_data['names']
189
190
        # table_title
191
        ws['B7'].fill = table_fill
192
        ws['B7'].font = title_font
193
        ws['B7'].alignment = c_c_alignment
194
        ws['B7'] = '报告期'
195
        ws['B7'].border = f_border
196
197
        ws['C7'].font = title_font
198
        ws['C7'].alignment = c_c_alignment
199
        ws['C7'] = '算术平均数'
200
        ws['C7'].border = f_border
201
202
        ws['D7'].font = title_font
203
        ws['D7'].alignment = c_c_alignment
204
        ws['D7'] = '中位数'
205
        ws['D7'].border = f_border
206
207
        ws['E7'].font = title_font
208
        ws['E7'].alignment = c_c_alignment
209
        ws['E7'] = '最小值'
210
        ws['E7'].border = f_border
211
212
        ws['F7'].font = title_font
213
        ws['F7'].alignment = c_c_alignment
214
        ws['F7'] = '最大值'
215
        ws['F7'].border = f_border
216
217
        ws['G7'].font = title_font
218
        ws['G7'].alignment = c_c_alignment
219
        ws['G7'] = '样本标准差'
220
        ws['G7'].border = f_border
221
222
        ws['H7'].font = title_font
223
        ws['H7'].alignment = c_c_alignment
224
        ws['H7'] = '样本方差'
225
        ws['H7'].border = f_border
226
227
        # table_data
228
229
        for i, value in enumerate(category):
230
            row = i * 2 + 8
231
            ws['B' + str(row)].font = name_font
232
            ws['B' + str(row)].alignment = c_c_alignment
233
            ws['B' + str(row)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][i] + " )"
234
            ws['B' + str(row)].border = f_border
235
236
            ws['B' + str(row + 1)].font = name_font
237
            ws['B' + str(row + 1)].alignment = c_c_alignment
238
            ws['B' + str(row + 1)] = "环比"
239
            ws['B' + str(row + 1)].border = f_border
240
241
            ws['C' + str(row)].font = name_font
242
            ws['C' + str(row)].alignment = c_c_alignment
243
            ws['C' + str(row)] = round(reporting_period_data['means'][i], 2) \
244
                if reporting_period_data['means'][i] is not None else ''
245
            ws['C' + str(row)].border = f_border
246
            ws['C' + str(row)].number_format = '0.00'
247
248
            ws['C' + str(row + 1)].font = name_font
249
            ws['C' + str(row + 1)].alignment = c_c_alignment
250
            ws['C' + str(row + 1)] = str(round(reporting_period_data['means_increment_rate'][i] * 100, 2)) + "%" \
251
                if reporting_period_data['means_increment_rate'][i] is not None else '0.00%'
252
            ws['C' + str(row + 1)].border = f_border
253
254
            ws['D' + str(row)].font = name_font
255
            ws['D' + str(row)].alignment = c_c_alignment
256
            ws['D' + str(row)] = round(reporting_period_data['medians'][i], 2) \
257
                if reporting_period_data['medians'][i] is not None else ''
258
            ws['D' + str(row)].border = f_border
259
            ws['D' + str(row)].number_format = '0.00'
260
261
            ws['D' + str(row + 1)].font = name_font
262
            ws['D' + str(row + 1)].alignment = c_c_alignment
263
            ws['D' + str(row + 1)] = str(round(reporting_period_data['medians_increment_rate'][i] * 100, 2)) + "%" \
264
                if reporting_period_data['medians_increment_rate'][i] is not None else '0.00%'
265
            ws['D' + str(row + 1)].border = f_border
266
267
            ws['E' + str(row)].font = name_font
268
            ws['E' + str(row)].alignment = c_c_alignment
269
            ws['E' + str(row)] = round(reporting_period_data['minimums'][i], 2) \
270
                if reporting_period_data['minimums'][i] is not None else ''
271
            ws['E' + str(row)].border = f_border
272
            ws['E' + str(row)].number_format = '0.00'
273
274
            ws['E' + str(row + 1)].font = name_font
275
            ws['E' + str(row + 1)].alignment = c_c_alignment
276
            ws['E' + str(row + 1)] = str(round(reporting_period_data['minimums_increment_rate'][i] * 100, 2)) + "%" \
277
                if reporting_period_data['minimums_increment_rate'][i] is not None else '0.00%'
278
            ws['E' + str(row + 1)].border = f_border
279
280
            ws['F' + str(row)].font = name_font
281
            ws['F' + str(row)].alignment = c_c_alignment
282
            ws['F' + str(row)] = round(reporting_period_data['maximums'][i], 2) \
283
                if reporting_period_data['maximums'][i] is not None else ''
284
            ws['F' + str(row)].border = f_border
285
            ws['F' + str(row)].number_format = '0.00'
286
287
            ws['F' + str(row + 1)].font = name_font
288
            ws['F' + str(row + 1)].alignment = c_c_alignment
289
            ws['F' + str(row + 1)] = str(round(reporting_period_data['maximums_increment_rate'][i] * 100, 2)) + "%" \
290
                if reporting_period_data['maximums_increment_rate'][i] is not None else '0.00%'
291
            ws['F' + str(row + 1)].border = f_border
292
293
            ws['G' + str(row)].font = name_font
294
            ws['G' + str(row)].alignment = c_c_alignment
295
            ws['G' + str(row)] = round(reporting_period_data['stdevs'][i], 2) \
296
                if reporting_period_data['stdevs'][i] is not None else ''
297
            ws['G' + str(row)].border = f_border
298
            ws['G' + str(row)].number_format = '0.00'
299
300
            ws['G' + str(row + 1)].font = name_font
301
            ws['G' + str(row + 1)].alignment = c_c_alignment
302
            ws['G' + str(row + 1)] = str(round(reporting_period_data['stdevs_increment_rate'][i] * 100, 2)) + "%" \
303
                if reporting_period_data['stdevs_increment_rate'][i] is not None else '0.00%'
304
            ws['G' + str(row + 1)].border = f_border
305
306
            ws['H' + str(row)].font = name_font
307
            ws['H' + str(row)].alignment = c_c_alignment
308
            ws['H' + str(row)] = round(reporting_period_data['variances'][i], 2) \
309
                if reporting_period_data['variances'][i] is not None else ''
310
            ws['H' + str(row)].border = f_border
311
            ws['H' + str(row)].number_format = '0.00'
312
313
            ws['H' + str(row + 1)].font = name_font
314
            ws['H' + str(row + 1)].alignment = c_c_alignment
315
            ws['H' + str(row + 1)] = str(round(reporting_period_data['variances_increment_rate'][i] * 100, 2)) + "%" \
316
                if reporting_period_data['variances_increment_rate'][i] is not None else '0.00%'
317
            ws['H' + str(row + 1)].border = f_border
318
    #################################################
319
    # Second: 报告期消耗
320
    # 9 + ca_len * 2: title
321
    # 10 + ca_len * 2: table title
322
    # row_title + 2 ~ row_title + 2 + ca_len :  table_data
323
    #################################################
324
325
    if has_energy_data_flag:
326
        names = reporting_period_data['names']
327
        ca_len = len(names)
328
329
        row_title = 9 + ca_len * 2
330
331
        ws['B' + str(row_title)].font = title_font
332
        ws['B' + str(row_title)] = name + ' 单位面积值'
333
        ws['D' + str(row_title)].font = title_font
334
        ws['D' + str(row_title)] = str(report['store']['area']) + 'M²'
335
336
        category = reporting_period_data['names']
337
338
        # table_title
339
        ws['B' + str(row_title + 1)].fill = table_fill
340
        ws['B' + str(row_title + 1)].font = title_font
341
        ws['B' + str(row_title + 1)].alignment = c_c_alignment
342
        ws['B' + str(row_title + 1)] = '报告期'
343
        ws['B' + str(row_title + 1)].border = f_border
344
345
        ws['C' + str(row_title + 1)].font = title_font
346
        ws['C' + str(row_title + 1)].alignment = c_c_alignment
347
        ws['C' + str(row_title + 1)] = '算术平均数'
348
        ws['C' + str(row_title + 1)].border = f_border
349
350
        ws['D' + str(row_title + 1)].font = title_font
351
        ws['D' + str(row_title + 1)].alignment = c_c_alignment
352
        ws['D' + str(row_title + 1)] = '中位数'
353
        ws['D' + str(row_title + 1)].border = f_border
354
355
        ws['E' + str(row_title + 1)].font = title_font
356
        ws['E' + str(row_title + 1)].alignment = c_c_alignment
357
        ws['E' + str(row_title + 1)] = '最小值'
358
        ws['E' + str(row_title + 1)].border = f_border
359
360
        ws['F' + str(row_title + 1)].font = title_font
361
        ws['F' + str(row_title + 1)].alignment = c_c_alignment
362
        ws['F' + str(row_title + 1)] = '最大值'
363
        ws['F' + str(row_title + 1)].border = f_border
364
365
        ws['G' + str(row_title + 1)].font = title_font
366
        ws['G' + str(row_title + 1)].alignment = c_c_alignment
367
        ws['G' + str(row_title + 1)] = '样本标准差'
368
        ws['G' + str(row_title + 1)].border = f_border
369
370
        ws['H' + str(row_title + 1)].font = title_font
371
        ws['H' + str(row_title + 1)].alignment = c_c_alignment
372
        ws['H' + str(row_title + 1)] = '样本方差'
373
        ws['H' + str(row_title + 1)].border = f_border
374
375
        # table_data
376
377
        for i, value in enumerate(category):
378
            row_data = row_title + 2 + i
379
            ws['B' + str(row_data)].font = name_font
380
            ws['B' + str(row_data)].alignment = c_c_alignment
381
            ws['B' + str(row_data)] = reporting_period_data['names'][i] + " (" + reporting_period_data['units'][
382
                i] + "/M²)"
383
            ws['B' + str(row_data)].border = f_border
384
385
            ws['C' + str(row_data)].font = name_font
386
            ws['C' + str(row_data)].alignment = c_c_alignment
387
            if reporting_period_data['means_per_unit_area'][i] \
388
                    or reporting_period_data['means_per_unit_area'][i] == 0:
389
                ws['C' + str(row_data)] = round(reporting_period_data['means_per_unit_area'][i], 2)
390
            ws['C' + str(row_data)].border = f_border
391
            ws['C' + str(row_data)].number_format = '0.00'
392
393
            ws['D' + str(row_data)].font = name_font
394
            ws['D' + str(row_data)].alignment = c_c_alignment
395
            if reporting_period_data['medians_per_unit_area'][i] \
396
                    or reporting_period_data['medians_per_unit_area'][i] == 0:
397
                ws['D' + str(row_data)] = round(reporting_period_data['medians_per_unit_area'][i], 2)
398
            ws['D' + str(row_data)].border = f_border
399
            ws['D' + str(row_data)].number_format = '0.00'
400
401
            ws['E' + str(row_data)].font = name_font
402
            ws['E' + str(row_data)].alignment = c_c_alignment
403
            if reporting_period_data['minimums_per_unit_area'][i] \
404
                    or reporting_period_data['minimums_per_unit_area'][i] == 0:
405
                ws['E' + str(row_data)] = round(reporting_period_data['minimums_per_unit_area'][i], 2)
406
            ws['E' + str(row_data)].border = f_border
407
            ws['E' + str(row_data)].number_format = '0.00'
408
409
            ws['F' + str(row_data)].font = name_font
410
            ws['F' + str(row_data)].alignment = c_c_alignment
411
            if reporting_period_data['maximums_per_unit_area'][i] \
412
                    or reporting_period_data['maximums_per_unit_area'][i] == 0:
413
                ws['F' + str(row_data)] = round(reporting_period_data['maximums_per_unit_area'][i], 2)
414
            ws['F' + str(row_data)].border = f_border
415
            ws['F' + str(row_data)].number_format = '0.00'
416
417
            ws['G' + str(row_data)].font = name_font
418
            ws['G' + str(row_data)].alignment = c_c_alignment
419
            if (reporting_period_data['stdevs_per_unit_area'][i]) \
420
                    or reporting_period_data['stdevs_per_unit_area'][i] == 0:
421
                ws['G' + str(row_data)] = round(reporting_period_data['stdevs_per_unit_area'][i], 2)
422
            ws['G' + str(row_data)].border = f_border
423
            ws['G' + str(row_data)].number_format = '0.00'
424
425
            ws['H' + str(row_data)].font = name_font
426
            ws['H' + str(row_data)].alignment = c_c_alignment
427
            if reporting_period_data['variances_per_unit_area'][i] \
428
                    or reporting_period_data['variances_per_unit_area'][i] == 0:
429
                ws['H' + str(row_data)] = round(reporting_period_data['variances_per_unit_area'][i], 2)
430
            ws['H' + str(row_data)].border = f_border
431
            ws['H' + str(row_data)].number_format = '0.00'
432
433
    ########################################################
434
    # Third: 详细数据
435
    # row_sat+row_title~ row_sat+row_title+time_len: line
436
    # row_sat+1+row_title: table title
437
    # i + row_sat + 2 + 10 * ca_len~: table_data
438
    ########################################################
439
    has_timestamps_flag = True
440
    if "timestamps" not in reporting_period_data.keys() or \
441
            reporting_period_data['timestamps'] is None or \
442
            len(reporting_period_data['timestamps']) == 0:
443
        has_timestamps_flag = False
444
445
    if has_timestamps_flag:
446
        timestamps = reporting_period_data['timestamps'][0]
447
        values = reporting_period_data['values']
448
        names = reporting_period_data['names']
449
        ca_len = len(names)
450
        time_len = len(timestamps)
451
        # title
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        row_title = 10 * ca_len
453
        # row_st == row_statistical analysis table
454
        row_sat = 12 + 3 * ca_len
455
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        ws['B' + str(row_sat + row_title)].font = title_font
457
        ws['B' + str(row_sat + row_title)] = name + ' 详细数据'
458
        # table_title
459
        ws['B' + str(row_sat + 1 + row_title)].fill = table_fill
460
        ws['B' + str(row_sat + 1 + row_title)].font = name_font
461
        ws['B' + str(row_sat + 1 + row_title)].alignment = c_c_alignment
462
        ws['B' + str(row_sat + 1 + row_title)] = "时间"
463
        ws['B' + str(row_sat + 1 + row_title)].border = f_border
464
465
        for i in range(0, ca_len):
466
            col = chr(ord('C') + i)
467
468
            ws[col + str(row_sat + 1 + row_title)].font = name_font
469
            ws[col + str(row_sat + 1 + row_title)].alignment = c_c_alignment
470
            ws[col + str(row_sat + 1 + row_title)] = names[i] + " - (" + reporting_period_data['units'][i] + ")"
471
            ws[col + str(row_sat + 1 + row_title)].border = f_border
472
        # table_date
473
        for i in range(0, time_len):
474
            rows = i + row_sat + 2 + 10 * ca_len
475
476
            ws['B' + str(rows)].font = name_font
477
            ws['B' + str(rows)].alignment = c_c_alignment
478
            ws['B' + str(rows)] = timestamps[i]
479
            ws['B' + str(rows)].border = f_border
480
481
            for index in range(0, ca_len):
482
                col = chr(ord('C') + index)
483
484
                ws[col + str(rows)].font = name_font
485
                ws[col + str(rows)].alignment = c_c_alignment
486
                ws[col + str(rows)] = round(values[index][i], 2)
487
                ws[col + str(rows)].number_format = '0.00'
488
                ws[col + str(rows)].border = f_border
489
490
        # 小计
491
        row_subtotals = row_sat + 2 + time_len + 10 * ca_len
492
        ws['B' + str(row_subtotals)].font = name_font
493
        ws['B' + str(row_subtotals)].alignment = c_c_alignment
494
        ws['B' + str(row_subtotals)] = "小计"
495
        ws['B' + str(row_subtotals)].border = f_border
496
497
        for i in range(0, ca_len):
498
            col = chr(ord('C') + i)
499
500
            ws[col + str(row_subtotals)].font = name_font
501
            ws[col + str(row_subtotals)].alignment = c_c_alignment
502
            ws[col + str(row_subtotals)] = round(reporting_period_data['subtotals'][i], 2)
503
            ws[col + str(row_subtotals)].border = f_border
504
            ws[col + str(row_subtotals)].number_format = '0.00'
505
506
        # LineChart
507
        for i in range(0, ca_len):
508
            lc = LineChart()
509
            lc.title = "报告期消耗" + " - " + names[i] + "(" + reporting_period_data['units'][i] + ")"
510
            lc.style = 10
511
            lc.height = 8.40  # cm 1.05*8 1.05cm = 30 pt
512
            lc.width = 31
513
            lc.x_axis.majorTickMark = 'in'
514
            lc.y_axis.majorTickMark = 'in'
515
            times = Reference(ws, min_col=2, min_row=row_sat + 2 + row_title,
516
                              max_row=row_sat + 2 + row_title + time_len)
517
            lc_data = Reference(ws, min_col=3 + i, min_row=row_sat + 1 + row_title,
518
                                max_row=row_sat + 1 + row_title + time_len)
519
            lc.add_data(lc_data, titles_from_data=True)
520
            lc.set_categories(times)
521
            ser = lc.series[0]
522
            ser.marker.symbol = "diamond"
523
            ser.marker.size = 5
524
            ws.add_chart(lc, 'B' + str(row_sat + 10 * i))
525
526
    filename = str(uuid.uuid4()) + '.xlsx'
527
    wb.save(filename)
528
529
    return filename
530