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在python中从文本中提取JSON

[英]Extract JSON from Text in python

我想从日志文本中提取 JSON/字典。

示例日志文本:

2018-06-21 19:42:58 [scrapy.crawler] INFO: Overridden settings: {'BOT_NAME': 'locations', 'CLOSESPIDER_TIMEOUT': '14400', 'FEED_FORMAT': 'geojson', 'LOG_FILE': '/geojson_dumps/21_Jun_2018_07_42_54/logs/coastalfarm.log', 'LOG_LEVEL': 'INFO', 'NEWSPIDER_MODULE': 'locations.spiders', 'SPIDER_MODULES': ['locations.spiders'], 'TELNETCONSOLE_ENABLED': '0', 'USER_AGENT': 'Mozilla/5.0'}

2018-06-21 19:43:00 [scrapy.statscollectors] INFO: Dumping Scrapy stats:
{'downloader/request_bytes': 369,
 'downloader/request_count': 1,
 'downloader/request_method_count/GET': 1,
 'downloader/response_bytes': 1718,
 'downloader/response_count': 1,
 'downloader/response_status_count/200': 1,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2018, 6, 21, 14, 13, 0, 841666),
 'item_scraped_count': 4,
 'log_count/INFO': 8,
 'memusage/max': 56856576,
 'memusage/startup': 56856576,
 'response_received_count': 1,
 'scheduler/dequeued': 1,
 'scheduler/dequeued/memory': 1,
 'scheduler/enqueued': 1,
 'scheduler/enqueued/memory': 1,
 'start_time': datetime.datetime(2018, 6, 21, 14, 12, 58, 499385)}

2018-06-21 19:43:00 [scrapy.core.engine] INFO: Spider closed (finished)

我试过(\\{.+$\\})作为正则表达式,但它给了我单行的字典, {'BOT_NAME': 'locations',..., 'USER_AGENT': 'Mozilla/5.0'}这不是预期的。

我想提取的 json/dictionary:注意:字典不会有相同的键,它可能会有所不同。

{'downloader/request_bytes': 369,
 'downloader/request_count': 1,
 'downloader/request_method_count/GET': 1,
 'downloader/response_bytes': 1718,
 'downloader/response_count': 1,
 'downloader/response_status_count/200': 1,
 'finish_reason': 'finished',
 'finish_time': datetime.datetime(2018, 6, 21, 14, 13, 0, 841666),
 'item_scraped_count': 4,
 'log_count/INFO': 8,
 'memusage/max': 56856576,
 'memusage/startup': 56856576,
 'response_received_count': 1,
 'scheduler/dequeued': 1,
 'scheduler/dequeued/memory': 1,
 'scheduler/enqueued': 1,
 'scheduler/enqueued/memory': 1,
 'start_time': datetime.datetime(2018, 6, 21, 14, 12, 58, 499385)}

编辑:JSON跨越多行,所以这是将要执行的操作:

import re

re_str = '\d{2}-\d{2}-\d{2} \d{2}:\d{2}:\d{2} \[scrapy\.statscollectors] INFO: Dumping Scrapy stats:.({.+?\})'
stats_re = re.compile(re_str, re.MULTILINE | re.DOTALL)

for match in stats_re.findall(log):
    print(match)

如果您只关注statscollector中的各行,那么这应该可以帮助您(假设所有内容也都在同一行上):

^.*?\[scrapy.statscollectors] INFO: Dumping Scrapy stats: (\{.+$\}).*?$

使用 JSON 标记器使这成为一项非常简单和高效的任务,只要您有一个锚点可以在原始文档中搜索,至少可以识别 JSON blob 的开头。 这使用json-5从 HTML 中提取 JSON:

import json5.tokenizer

with open('5f32d5b4e2c432f660e1df44.html') as f:
    document = f.read()

search_for = "window.__INITIAL_STATE__="
i = document.index(search_for)
j = i + len(search_for)
extract_from = document[j:]

tokens = json5.tokenizer.tokenize(extract_from)
stack = []
collected = []
for token in tokens:
    collected.append(token.value)

    if token.type in ('LBRACE', 'LBRACKET'):
        stack.append(token)
    elif token.type in ('RBRACE', 'RBRACKET'):
        stack.pop()

    if not stack:
        break

json_blob = ''.join(collected)

请注意,这将 JSON 解释为复杂(对象、列表)或标量类型。

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