我有一个大文本文件。我将该文件分成一定大小的小文件。以下是我得到的示例：
import math
import os
numThread = 4
inputData= 'dir\example.txt'
def chunk_files():
nline = sum(1 for line in open(inputData,'r', encoding='utf-8', errors='ignore'))
chunk_size = math.floor(nline/int(numThread ))
n_thread = int(numThread )
j = 0
with open(inputData,'r', encoding='utf-8', errors='ignore') as file_:
for i, line in enumerate(file_):
if (i + 1 == j * chunk_size and j != n_thread) or i == nline:
out.close()
if i + 1 == 1 or (j != n_thread and i + 1 == j * chunk_size):
chunk_file = '_raw' + str(j) + '.txt'
if os.path.isfile(chunk_file):
break
out = open(chunk_file, 'w+', encoding='utf-8', errors='ignore')
j = j + 1
if out.closed != True:
out.write(line)
if i % 1000 == 0 and i != 0:
print ('Processing line %i ...' % (i))
print ('Done.')
这是文本文件中文本的示例：
190219 7:05:30 line3 success
line3 this is the 1st success process
line3 this process need 3sec
200219 9:10:10 line2 success
line2 this is the 1st success process
由于块大小，我获得了多种形式的拆分文本。像这样：
190219 7:05:30 line3 success
line3 this is the 1st success process
line3 this process need 3sec
200219 9:10:10 line2 success
line2 this is the 1st success process
我需要使用正则表达式 reg= re.compile(r"\b(\d{6})(?=\s\d{1,}:\d{2}:\d{2})\b") 进行日期时间分割，如下所示：
190219 7:05:30 line3 success
line3 this is the 1st success process
line3 this process need 3sec
200219 9:10:10 line2 success
line2 this is the 1st success process
我已经尝试过Python: regex match across file chunk boundaries。但是看来我无法解决自己的问题。
有人可以帮助我将正则表达式放入chunk_files函数吗？预先感谢
答案 0 :(得分：2)
我相信，简化事情会大有帮助。
all_parts = []
part = []
for line in l.split('\n'):
if re.search(r"^\d+\s\d+:\d+:\d+\s", line):
if part:
all_parts.append(part)
part = []
part.append(line)
else:
all_parts.append(part)
print(all_parts)
尝试使用test_str给出以下内容：
In [37]: all_parts
Out[37]:
[['190219 7:05:30 line3 success ',
' line3 this is the 1st success process',
' line3 this process need 3sec'],
['200219 9:10:10 line2 success ',
' line2 this is the 1st success process'],
['190219 7:05:30 line3 success ',
' line3 this is the 1st success process',
' line3 this process need 3sec'],
['200219 9:10:10 line2 success ',
' line2 this is the 1st success process'],
['200219 9:10:10 line2 success ',
' line2 this is the 1st success process',
' line2 this is the 1st success process',
' line2 this is the 1st success process',
' line2 this is the 1st success process',
' line2 this is the 1st success process',
' line2 this is the 1st success process']]
然后，您可以使代码返回一个生成器/迭代器，在其中您可以轻松地对任何大小的文件进行分块并获得分块行的列表。
答案 1 :(得分：1)
由于行数似乎不是静态的，所以我们可以获取6位数字和日期，然后收集所有行，然后编写其余问题的脚本，也许这个简单的表达式可以在这里引起我们的兴趣：
(\d{6})\s(\d{1,}:\d{2}:\d{2})|\s*(.*)\s*
其中包含我们的数字部分：
(\d{6})\s(\d{1,}:\d{2}:\d{2})
以及我们在此处的行：
\s*(.*)\s*
# coding=utf8
# the above tag defines encoding for this document and is for Python 2.x compatibility
import re
regex = r"(\d{6})\s(\d{1,}:\d{2}:\d{2})|\s*(.*)\s*"
test_str = ("190219 7:05:30 line3 success \n"
" line3 this is the 1st success process\n"
" line3 this process need 3sec\n"
"200219 9:10:10 line2 success \n"
" line2 this is the 1st success process\n"
"190219 7:05:30 line3 success \n"
" line3 this is the 1st success process\n"
" line3 this process need 3sec\n"
"200219 9:10:10 line2 success \n"
" line2 this is the 1st success process\n"
"200219 9:10:10 line2 success \n"
" line2 this is the 1st success process\n"
" line2 this is the 1st success process\n"
" line2 this is the 1st success process\n"
" line2 this is the 1st success process\n"
" line2 this is the 1st success process\n"
" line2 this is the 1st success process")
matches = re.finditer(regex, test_str, re.MULTILINE)
for matchNum, match in enumerate(matches, start=1):
print ("Match {matchNum} was found at {start}-{end}: {match}".format(matchNum = matchNum, start = match.start(), end = match.end(), match = match.group()))
for groupNum in range(0, len(match.groups())):
groupNum = groupNum + 1
print ("Group {groupNum} found at {start}-{end}: {group}".format(groupNum = groupNum, start = match.start(groupNum), end = match.end(groupNum), group = match.group(groupNum)))
# Note: for Python 2.7 compatibility, use ur"" to prefix the regex and u"" to prefix the test string and substitution.
Match 1 was found at 0-14: 190219 7:05:30
Group 1 found at 0-6: 190219
Group 2 found at 7-14: 7:05:30
Group 3 found at -1--1: None
Match 2 was found at 14-45: line3 success
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 15-29: line3 success
Match 3 was found at 45-98: line3 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 45-82: line3 this is the 1st success process
Match 4 was found at 98-127: line3 this process need 3sec
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 98-126: line3 this process need 3sec
Match 5 was found at 127-141: 200219 9:10:10
Group 1 found at 127-133: 200219
Group 2 found at 134-141: 9:10:10
Group 3 found at -1--1: None
Match 6 was found at 141-172: line2 success
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 142-156: line2 success
Match 7 was found at 172-210: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 172-209: line2 this is the 1st success process
Match 8 was found at 210-224: 190219 7:05:30
Group 1 found at 210-216: 190219
Group 2 found at 217-224: 7:05:30
Group 3 found at -1--1: None
Match 9 was found at 224-255: line3 success
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 225-239: line3 success
Match 10 was found at 255-308: line3 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 255-292: line3 this is the 1st success process
Match 11 was found at 308-337: line3 this process need 3sec
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 308-336: line3 this process need 3sec
Match 12 was found at 337-351: 200219 9:10:10
Group 1 found at 337-343: 200219
Group 2 found at 344-351: 9:10:10
Group 3 found at -1--1: None
Match 13 was found at 351-382: line2 success
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 352-366: line2 success
Match 14 was found at 382-420: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 382-419: line2 this is the 1st success process
Match 15 was found at 420-434: 200219 9:10:10
Group 1 found at 420-426: 200219
Group 2 found at 427-434: 9:10:10
Group 3 found at -1--1: None
Match 16 was found at 434-465: line2 success
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 435-449: line2 success
Match 17 was found at 465-518: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 465-502: line2 this is the 1st success process
Match 18 was found at 518-571: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 518-555: line2 this is the 1st success process
Match 19 was found at 571-624: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 571-608: line2 this is the 1st success process
Match 20 was found at 624-677: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 624-661: line2 this is the 1st success process
Match 21 was found at 677-730: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 677-714: line2 this is the 1st success process
Match 22 was found at 730-767: line2 this is the 1st success process
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 730-767: line2 this is the 1st success process
Match 23 was found at 767-767:
Group 1 found at -1--1: None
Group 2 found at -1--1: None
Group 3 found at 767-767: