forked from padmalcom/ttsdatasetcreator
-
Notifications
You must be signed in to change notification settings - Fork 0
/
main_normalize_and_cleanse_csv.py
107 lines (79 loc) · 3.01 KB
/
main_normalize_and_cleanse_csv.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
from rich import print
from rich.console import Console
from rich.table import Table
import glob
import os
import sys
import csv
c_map_de = {
'€': 'euro',
'$': 'dollar',
'mr.': 'Mister',
'mrs.': 'Mistress',
'mme': 'Madame',
'etc.': 'et cetera',
'usw.': 'und so weiter',
'“': '"',
'„': '"'
}
def cleanse(text, lang):
# todo
return text
if __name__ == '__main__':
console = Console()
table = Table()
table.add_column("CSV text normalizer", style="cyan")
table.add_row("Normalizes a metadata.csv by looking at the second column and normalizing numbers and abreviations.")
table.add_row("2021 - padmalcom")
table.add_row("www.stonedrum.de")
console.print(table)
# Select a project folder
app_folder = os.path.dirname(os.path.realpath(__file__))
project_directories = glob.glob(os.path.join(app_folder, 'project*/'))
if len(project_directories) == 0:
console.print("There are no project directories. Create a folder starting with 'project' that contains a 'metadata.csv'. This works best using main_generate_csv.py.")
sys.exit(0)
console.print("Please select a [red]project folder[/red] by entering its id (default 0 (%s))" % project_directories[0])
for index, pd in enumerate(project_directories):
console.print("%d: %s" % (index, pd))
in_folder_id = input()
if not in_folder_id:
in_folder_id = 0
project_folder = project_directories[int(in_folder_id)]
metadata_csv_file = os.path.join(project_folder, 'metadata.csv')
if not os.path.exists(metadata_csv_file):
console.print("Project folder does not contain a metadata.csv file. Exiting.")
sys.exit(0)
console.print("Project folder is [red]%s" % project_folder)
# Select language
default_lang = 'de'
console.print("Please select a [red]language[/red] to collect data for (default [i]%s[/i])." % default_lang)
in_lang = input()
if not in_lang:
in_lang = default_lang
if not in_lang in ['de', 'en', 'fr', 'it']:
console.print("Language [red]%s[/red] is not supported by wikipedia." % in_lang)
sys.exit(0)
console.print("Language is set to [red]%s[/red]." % in_lang)
with open(metadata_csv_file, encoding = "utf-8") as csv_file:
csv_reader = csv.reader(csv_file, delimiter='|')
csv_data = list(csv_reader)
console.print("Found %d sentences." % len(csv_data))
if len(csv_data) == 0:
console.print("You need to add some sentences to your text files first. Exiting.")
sys.exit(0)
metadata_csv_file_normalized = os.path.join(project_folder, 'metadata_normalized.csv')
csv_out = open(metadata_csv_file_normalized, 'wb')
writer = csv.writer(csv_out, delimiter='|')
i = 0
while i < len(csv_data):
# clean missing wav files
if os.path.exists(os.path.join(project_folder, csv_data[i][0])):
# normlize
cleansed = cleanse(csv_data[i], in_lang)
writer.write([csv_data[i][0], csv_data[i][1], cleansed])
i += 1
csv_out.close()
os.rename(metadata_csv_file, os.path.join(project_folder, 'metadata_original.csv'))
os.rename(metadata_csv_file_normalized, metadata_csv_file)
console.print("Done")