如何過濾嵌套列表中的字符串列表？

Question

我需要遍歷文件名列表，並對照字典中的一組鍵檢查每個字符串。

在文件排序器中，我想根據文件名中的關鍵字對文件進行排序。 在下一步中，我需要根據找到的鍵值將文件移動到文件夾中。

file_list = [
    '01012007-1_employer_finance.txt',
    '25102013-2_cargo_manifest.txt',
    '12022018-3_epmloyer_home_adress.txt',
    '12022028-4_epmloyer_work_adress.txt',
    '01012011-5_employer_finance.txt'
    '01012007-12_employer_finance.txt',
    '25102013-23_cargo_manifest.txt',
    '12022018-34_epmloyer_home_adress.txt',
    '12022028-45_epmloyer_work_adress.txt',
    '01012011-56_employer_finance.txt'
    ]

filelist = {
'file1':'01012007-1_employer_finance.txt',
'file2':'25102013-2_cargo_manifest.txt',
'file3':'12022018-3_epmloyer_home_adress.txt',
'file4':'12022028-4_epmloyer_work_adress.txt',
'file5':'01012011-5_employer_finance.txt',
'file6':'01012007-12_employer_finance.txt',
'file7':'25102013-23_cargo_manifest.txt',
'file8':'12022018-34_epmloyer_home_adress.txt',
'file9':'12022028-45_epmloyer_work_adress.txt',
'file10':'01012011-56_employer_finance.txt'
}

"""Dictionary files"""
filters = {
    'finance': ['employer','finance'],
    'manifest': ['manifest'],
    'address': ['epmloyer', 'adress', 'home'],
    'address': ['epmloyer', 'adress', 'work']
}

"""Tweede oplossing op stackoverflow"""
"""Loop through the nested list"""

def matches(filter, filename):
    return all(x in filename for x in filter)

def get_filename(filter, files):
    for f in files:
        if matches(filter, f):
            return f

for label, filter in filelist.items():
    file = get_filename(filter, filelist)
    if file:
        print(f'Found {label} file: {file}')
        pass

found_files = {label: get_filename(filter, filelist) for label, filter in filters.items()}
print(found_files)

filenamelist loop --> object bestandsnaam
filter dictory for loop

我希望輸出是文件名及其鍵值的列表。

Answer 1

如果我對，您想創建一個字典。 字典中的每個鍵都是過濾器的名稱，這些鍵將是與該過濾器匹配的文件名列表。 使用您已經擁有的代碼：

result = {key: [] for key in filters}

for fil in file_list:
    for f in result:
        if matches(filters[f], fil):
            result[f].append(fil)

結果，您將得到：

{'finance': ['01012007-1_employer_finance.txt', '01012011-5_employer_finance.txt01012007-12_employer_finance.txt', '01012011-56_employer_finance.txt'], 
 'manifest': ['25102013-2_cargo_manifest.txt', '25102013-23_cargo_manifest.txt'], 
 'address': ['12022028-4_epmloyer_work_adress.txt', '12022028-45_epmloyer_work_adress.txt']}