Datasets:
jblitzar
/
github-python

Dataset card Data Studio Files
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不重复爬取
'''
if os.path.exists(self.file_links_path):
print("[*] skip this site {}".format(self.start_url))
self.skip_flag = True
def prepare(self):
'''
创建存放的文件夹和文件
'''
self.current_path = getCurrentPath()
project_path = os.path.join(self.current_path, self.project_name)
makeDir(project_path)
subdomain_name = getDomain(self.start_url)
self.domain_path = os.path.join(project_path, subdomain_name)
makeDir(self.domain_path)
self.file_links_path = os.path.join(self.domain_path, 'file_links.json')
# self.other_links_path = os.path.join(self.domain_path, 'other_links.json')
self.finally_result_path = os.path.join(self.domain_path, 'result.json')
def crawlLinks(self):
'''
爬取链接
'''
print("[*] start to crawlLinks {}".format(self.start_url))
cmd = '{0} '.format(config.PY_EXECUTABLE_PATH) + '{0}/LinksCrawler.py {1} {2}'.format(self.current_path,
self.start_url, self.file_links_path)
print("[*] cmd: {}".format(cmd))
p = subprocess.Popen(
["{}".format(config.PY_EXECUTABLE_PATH), "{}/LinksCrawler.py".format(self.current_path), self.start_url, self.file_links_path],
stdout=subprocess.PIPE)
try:
(stdoutput, erroutput) = p.communicate(timeout=config.CRAWLER_SITE_TIMEOUT) # 超时时间
except subprocess.TimeoutExpired:
p.kill()
print("[*] TIMEOUT: %s" % cmd)
except Exception as e:
# pass
log.logger.debug(e) # 报错日志过多
def parseFileLinks(self):
'''
解析爬取到的文件url
'''
print("[*] start to parseFileLinks")
if os.path.exists(self.file_links_path):
with open(self.file_links_path, 'r') as f:
print('[*] reading {0}'.format(self.file_links_path))
self.crawled_file_links_dict = json.load(f)
# os.remove(self.file_links_path) # 删除
def downloadFile(self, url_file_list, file_type):
'''
下载文件
'''
print("[*] start to downloadFile {0} :{1}".format(file_type, len(url_file_list)))
download = DownLoader(self.domain_path, url_file_list, file_type)
# download.prepare()
downloaded_file_path_dict = download.startDownload()
return downloaded_file_path_dict
def detectSensitiveFile(self, downloaded_file_path_dict, file_type):
'''
检测含敏感信息的文件
:param file_type: 文件类型
:return:
'''
print("[*] start to detectSensitiveFile {0} :{1}".format(file_type, len(downloaded_file_path_dict)))
parser = SensitiveFileParser(downloaded_file_path_dict, file_type)
sensitive_result_dict = parser.startParse()
if sensitive_result_dict:
self.result_dict = dict(sensitive_result_dict.items())
def saveResultFile(self):
'''
保存最终结果
'''
if len(self.result_dict):
with open(self.finally_result_path, "w") as f:
f.write(str(json.dumps(self.result_dict)))
def main(target_txt, project_name):
with open(target_txt, 'r') as f:
url_list = [url.strip() for url in f]
print("[*] target length is :{}".format(len(url_list)))
num = 0
for url in url_list:
num += 1
hunter = SensitivesHunter(url, project_name)
print("[*] detecting NO.{} url".format(num))
#try:
hunter.startHunt()
#except Exception as e:
# pass
# log.logger.debug(e) # 报错日志过多