Question

我正在使用tld python库通过Apply函数从代理请求日志中获取第一级域。当我遇到一个奇怪的请求，即tld不知道如何处理“ http：1 CON”或“ http：/login.cgi%00”时，我遇到了如下错误消息：

TldBadUrl: Is not a valid URL http:1 con!
TldBadUrlTraceback (most recent call last)
in engine
----> 1 new_fld_column = request_2['request'].apply(get_fld)

/usr/local/lib/python2.7/site-packages/pandas/core/series.pyc in apply(self, func, convert_dtype, args, **kwds)
   2353             else:
   2354                 values = self.asobject
-> 2355                 mapped = lib.map_infer(values, f, convert=convert_dtype)
   2356 
   2357         if len(mapped) and isinstance(mapped[0], Series):

pandas/_libs/src/inference.pyx in pandas._libs.lib.map_infer (pandas/_libs/lib.c:66440)()

/home/cdsw/.local/lib/python2.7/site-packages/tld/utils.pyc in get_fld(url, 
fail_silently, fix_protocol, search_public, search_private, **kwargs)
    385         fix_protocol=fix_protocol,
    386         search_public=search_public,
--> 387         search_private=search_private
    388     )
    389 

/home/cdsw/.local/lib/python2.7/site-packages/tld/utils.pyc in process_url(url, fail_silently, fix_protocol, search_public, search_private)
    289             return None, None, parsed_url
    290         else:
--> 291             raise TldBadUrl(url=url)
    292 
    293     domain_parts = domain_name.split('.')

为克服此问题，建议我将函数包装在try-except子句中，以通过用NaN查询来确定出错的行：

import tld
from tld import get_fld

def try_get_fld(x):
    try: 
        return get_fld(x)
    except tld.exceptions.TldBadUrl: 
        return np.nan

这似乎适用于某些“请求”，例如“ http：1 con”和“ http：/login.cgi%00”，但对于“ http://urnt12.knhc..txt/”却失败，在那里我又收到了另一条错误消息上面的一个：

TldDomainNotFound: Domain urnt12.knhc..txt didn't match any existing TLD name!

这是数据框在称为“请求”的数据框中总共240,000个“请求”的样子：

request
  request                                      count
0 https://login.microsoftonline.com            24521
1 https://dt.adsafeprotected.com               11521
2 https://googleads.g.doubleclick.net          6252
3 https://fls-na.amazon.com                    65225
4 https://v10.vortex-win.data.microsoft.com    7852222
5 https://ib.adnxs.com                         12
6 http:1 CON                                   6 
7 http:/login.cgi%00                           45822
8 http://urnt12.knhc..txt/                     1

我的代码：

from tld import get_tld
from tld import get_fld
import pandas as pd
import numpy as np
#Read back into to dataframe
request = pd.read_csv('Proxy/Proxy_Analytics/Request_Grouped_By_Request_Count_12032018.csv')
#Remove rows where there were null values in the request column 
request = request[pd.notnull(request['request'])]
#Find the urls that contain IP addresses and exclude them from the new dataframe
request = request[~request.request.str.findall(r'[0-9]+(?:\.[0-9]+){3}').astype(bool)]
#Reset index
request = request.reset_index(drop=True)

import tld
from tld import get_fld

def try_get_fld(x):
    try: 
        return get_fld(x)
    except tld.exceptions.TldBadUrl: 
        return np.nan

request['flds'] = request['request'].apply(try_get_fld)

#faulty_url_df = request[request['flds'].isna()]
#print(faulty_url_df)

Answer 1

它失败，因为它是一个不同的例外。您expect有一个tld.exceptions.TldBadUrl:例外，但得到了TldDomainNotFound

您可以在except子句中不太明确，并使用一个except子句捕获更多异常，或者添加另一个except子句以捕获另一种异常：

try: 
    return get_fld(x)
except tld.exceptions.TldBadUrl: 
    return np.nan
except tld.exceptions.TldDomainNotFound:
    print("Domain not found!")
    return np.nan

Python的try-except子句仍然有问题

1 个答案: