我有一个包含很多行的日志文件。日志文件采用csv格式。我在该文件中搜索不同的消息,我想将它们存储在不同的文件中。
我该如何管理?
目前我这样做:
with open('/tmp/result/warnings/test/test3.csv', 'r') as input_file:
with open('/tmp/result/warnings/test/test4.csv', 'w') as output_file:
for line in input_file:
if not "Failed to open output file" in line:
output_file.write(line)
with open('/tmp/result/warnings/test/test4.csv', 'r') as input_file:
with open('/tmp/result/warnings/test/test5.csv', 'w') as output_file:
for line in input_file:
if not "Invalid file length of" in line:
output_file.write(line)
我可以这样做,就像在一次查找几个消息然后在一个文件中写入一样?
答案 0 :(得分:0)
with open('/tmp/result/warnings/test/test3.csv', 'r') as input_file:
with open('/tmp/result/warnings/test/test4.csv', 'w') as output_file:
for line in input_file:
conditions = [not "Failed to open output file" in line, not "Invalid file length of" in line]
if all(conditions):
output_file.write(line)
允许您检查多个条件,如果它们all
为真,请写入文件。
答案 1 :(得分:0)
这是一个超级模块化的版本:
# assumes Python 2.7
import csv
def read_csv(fname, header=False, **kwargs):
with open(fname, "rb") as inf:
incsv = csv.reader(inf, **kwargs)
if header:
head = next(incsv, [])
for row in incsv:
yield row
def write_csv(fname, rows, **kwargs):
with open(fname, "wb") as outf:
outcsv = csv.writer(outf, **kwargs)
outcsv.writerows(rows)
def multi_filter(items, any_of=None, all_of=None):
if any_of is None and all_of is None:
return items
if any_of is None:
test_any = lambda item: True
else:
test_any = lambda item: any(cond(item) for cond in any_of)
if all_of is None:
test_all = lambda item: True
else:
test_all = lambda item: all(cond(item) for cond in all_of)
return (item for item in items if test_any(item) and test_all(item))
def csv_filter(inf, outf, any_of=None, all_of=None):
write_csv(outf, multi_filter(read_csv(inf), any_of, all_of))
conditions = [
lambda row: not row[2].startswith("Failed to open output file"),
lambda row: not row[2].startswith("Invalid file length of")
]
inf = '/tmp/result/warnings/test/test3.csv'
outf = '/tmp/result/warnings/test/test5.csv'
csv_filter(inf, outf, all_of(conditions))