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python - Python递归执行try，除非条件满足

问题描述

我想逐行迭代文本文件并搜索模式并从中提取实体。但是，提取的几个模式具有多行特征，当我逐行迭代时会丢失这些特征。

现在，我正在使用一个try-except块并将下一行附加到当前行，例如：

try:
    id_value, utterance, prediction = process(line + ' ' + lines[n + 1])
except AttributeError:
    # Handle bad data
    try:
        id_value, utterance, prediction = process(line + ' ' + lines[n + 1] + ' ' + lines[n + 2])
    except AttributeError:
        # Handle bad data
        try:
            id_value, utterance, prediction = process(
                line + ' ' + lines[n + 1] + ' ' + lines[n + 2] + ' ' + lines[n + 3])

这是数据：

数据.txt

[22 Aug 2019 13:25:12] [ID:9ea1566460506294]     INFO [139921763325696] (ModelClassification:056) - Model classification for utterance_1 is 1
[22 Aug 2019 13:26:06] [ID:7ea1566460117776]     INFO [139921771718400] (ModelClassification:056) - Model classification for  utterance_2
 is 1
[22 Aug 2019 13:26:16] [ID:71d1566460492762]     INFO [139921771718400] (ModelClassification:056) - Model classification for utterance_3 is 0

如你看到的

[22 Aug 2019 13:26:06] [ID:7ea1566460117776]     INFO [139921771718400] (ModelClassification:056) - Model classification for  utterance_2
 is 1

在逐行迭代时扩展 2 行。

代码

import re

matching_string = 'Model classification for'
id_start_string = '[ID:'
id_end_string = ']'


def process(line):
    start_idx = line.find(id_start_string)
    end_idx = [s.start() for s in re.finditer(id_end_string, line)]
    for end in end_idx:
        if end > start_idx:
            # Get first index greater than start string index
            end_idx = end
            break
    id_value = line[start_idx + len(id_start_string): end_idx]
    groups = re.search('Model classification for (.*) is (0|1)', line).groups()
    utterance = groups[0]
    prediction = groups[1]
    return id_value, utterance, prediction


with open('data.txt', 'r') as f:
    lines = f.read().splitlines()
    for n, line in enumerate(lines):
        # Search for pattern in string
        if matching_string in line:
            try:
                id_value, utterance, prediction = process(line)
            except AttributeError:
                 print('Bad data')
                 print(line)
            print(id_value, utterance, prediction)

我的问题可以有递归解决方案吗？任何帮助是极大的赞赏。

编辑 - 

lines = ['22 Aug 2019 13:25:12] [ID:9ea1566460506294]     INFO [139921763325696] (ModelClassification:056) - Model classification for utterance_1 is 1', '[22 Aug 2019 13:26:06] [ID:7ea1566460117776]     INFO [139921771718400] (ModelClassification:056) - Model classification for  utterance_2', ' is 1', '[22 Aug 2019 13:26:16] [ID:71d1566460492762]     INFO [139921771718400] (ModelClassification:056) - Model classification for utterance_3 is 0 ']

标签： pythonlistcsvtext

解决方案

如果要在文件中查找一行。你可以使用 re.findall()

import re
with open("input.txt", "r") as f:
    text = f.read()

output = re.findall(r'some regex pattern', text)
output1 = re.findall(r'some other pattern', text)
output2 = re.findall(r'another pattern', text)

with open("output.txt", "w") as f:
    f.write(output)
    f.write(output1)
    f.write(output2)

如果你想递归地做，你可以但 re.findall 听起来像你需要的。

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