我有一个python脚本,在其中尝试读取目录中的所有.txt文件,并确定它们是否针对我脚本中的任何条件返回True或False。我没有收到错误消息,但脚本未产生任何输出。我希望脚本读取包含以.json格式格式化的文本的.txt文件。然后,我希望脚本确定.txt文件是否与下面我的代码中的任何语句匹配。然后,我想将结果输出到一个csv文件。非常感谢您的帮助!
#!/usr/bin/env python
# regarding whether any positive results were found for the domain on VT.
import csv
import json
import pprint
import sys
import os
CSVPATH = 'CsvResults.csv'
VTOUTPUTPATH = './output/'
VTOUTPUTEXT = '.txt'
#files_to_search = [f for f in os.listdir('./output/') if f[-4:] == '.txt']
#vt_result_path = files_to_search
#vt_result = vt_result_check(vt_result_path)
pp = pprint.PrettyPrinter(indent=4)
# Check files from VirusTotal queries for any positive results
# Result is false unless any nonzero positive result is true
def vt_result_check(vt_result_path):
vt_result = None
try:
vt_result = False
for filename in os.listdir(path):
with open(filename, 'r', encoding='utf-16') as vt_result_file:
vt_data = json.load(vt_result_file)
#vt_result_path = [f for f in os.listdir('./output/') if f[-4:] == '.txt']
#vt_result = None
#try:
# vt_result = False
# with open(infile) as vt_result_file:
# vt_data = json.load(vt_result_file)
# Look for any positive detected referrer samples
try:
for sample in (vt_data['detected_referrer_samples']):
if (sample['positives'] > 0):
vt_result = True
except:
pass
# Look for any positive detected communicating samples
try:
for sample in (vt_data['detected_communicating_samples']):
if (sample['positives'] > 0):
vt_result = True
except:
pass
# Look for any positive detected downloaded samples
try:
for sample in (vt_data['detected_downloaded_samples']):
if (sample['positives'] > 0):
vt_result = True
except:
pass
# Look for any positive detected URLs
try:
for sample in (vt_data['detected_urls']):
if (sample['positives'] > 0):
vt_result = True
except:
pass
# Look for a Dr. Web category of known infection source
try:
if (vt_data['Dr.Web category'] == "known infection source"):
vt_result = True
except:
pass
# Look for a Forecepoint ThreatSeeker category of elevated exposure
try:
if (vt_data['Forcepoint ThreatSeeker category'] == "elevated exposure"):
vt_result = True
except:
pass
# Look for a Forecepoint ThreatSeeker category of phishing and other frauds
try:
if (vt_data['Forcepoint ThreatSeeker category'] == "phishing and other frauds"):
vt_result = True
except:
pass
# Look for a Forecepoint ThreatSeeker category of suspicious content
try:
if (vt_data['Forcepoint ThreatSeeker category'] == "suspicious content"):
vt_result = True
except:
pass
#pp.pprint(vt_data)
except:
pass
return vt_result
def cert_check(csvpath):
with open(csvpath, 'w') as csvfile:
fieldnames = ['vt_result']
writer = csv.writer(csvfile)
writer.writerow(['VirusTotal Results'])
vt_result_path = VTOUTPUTPATH + subject_dom + VTOUTPUTEXT
vt_result = vt_result_check(vt_result_file)
writer.writerow([vt_result])
答案 0 :(得分:1)
您实际上需要将这些函数称为我的兄弟
def my_func(stuff):
print(stuff) #or whatever
my_func(1234)
每条评论更新
import os
p=r'path\to\your\files'
filelist=os.listdir(p) #creates list of all files/folders in this dir
#make a loop for each file in the dir
for file in filelist:
f=os.path.join(p,file) #this just joins the file name and path for full file path
your_func(f) #here you can pass the full file name to your functions
答案 1 :(得分:0)
如前所述,直接的问题似乎是您根本不调用cert_check
函数。但是,尽管此站点实际上不用于代码审查,但我不禁建议对您的代码进行一些改进。特别是,所有这些try/except:pass
构造都使检测代码中的任何错误变得异常困难,因为所有异常只会被except: pass
默默捕获和吞噬。
try/except:pass
块,尤其是围绕整个函数体的那个dict.get
代替[]
,这不会引发键错误,而是返回None
(或一些默认值),而且您的所有支票仍然有效|=
而不是if
检查来or
检查变量的结果any
检查列表中的任何元素是否满足某些条件我的vt_result_check
函数版本:
def vt_result_check(vt_result_path):
vt_result = False
for filename in os.listdir(path):
with open(filename, 'r', encoding='utf-16') as vt_result_file:
vt_data = json.load(vt_result_file)
# Look for any positive detected referrer samples
# Look for any positive detected communicating samples
# Look for any positive detected downloaded samples
# Look for any positive detected URLs
sample_types = ('detected_referrer_samples', 'detected_communicating_samples',
'detected_downloaded_samples', 'detected_urls')
vt_result |= any(sample['positives'] > 0 for sample_type in sample_types
for sample in vt_data.get(sample_type, []))
# Look for a Dr. Web category of known infection source
vt_result |= vt_data.get('Dr.Web category') == "known infection source"
# Look for a Forecepoint ThreatSeeker category of elevated exposure
# Look for a Forecepoint ThreatSeeker category of phishing and other frauds
# Look for a Forecepoint ThreatSeeker category of suspicious content
threats = ("elevated exposure", "phishing and other frauds", "suspicious content")
vt_result |= vt_data.get('Forcepoint ThreatSeeker category') in threats
return vt_result