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65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
"""
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This file will submit an alert to either a mailbox given a set of parameters, this will perform as following :
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- as-a-service
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- embedded
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"""
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import os
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import pandas as pd
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import subprocess
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import glob
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from datetime import datetime
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def post(**args):
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"""
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This function will submit a report to a given target provided some input
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:key will perform as-a-service
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:data data that will be submitted to smtp/queue server
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:smtp will send the file to a mailbox
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"""
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pass
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def parse(_stream):
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"""
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:stream single from the output command that has been executed
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"""
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_blocks = _stream.replace(' ',' ').split(' ')
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if len(_blocks) > 6 :
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_user = _blocks[1]
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_group= _blocks[2]
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_size = _blocks[3] # if units are not specified please interpet this as bytes
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_date = "-".join(_blocks[4:6])
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_time = _blocks[6]
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_name = _blocks[-1]
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if ':' not in _time :
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_date = _date+' '+_time
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_time = '00:00'
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else:
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_date = _date+'-'+str(datetime.now().year)
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_name = _blocks[-1]
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return {'user':_user,'date':_date,'time':_time,'size':_size,'content':None,'name':_name}
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def apply(_cmd, parser=None):
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handler = subprocess.Popen(_cmd,shell=True,stdout=subprocess.PIPE,encoding='utf-8')
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stream = handler.communicate()[0].split('\n')
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stream = [line.strip() for line in stream]
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if not parser :
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# print (dict(zip(['hash','names'],stream[0].split())))
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stream = [ line.strip().replace(' ',' ').split(' ') for line in stream if len(line.strip().split()) == 2]
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return pd.DataFrame([dict(zip(['content','name'],line)) for line in stream])
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# return pd.DataFrame([ line.split() for line in stream ])
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# return pd.DataFrame( dict(zip(['checksum','name'],[line.strip().split(' '))) for line in stream if line.strip() != '']) )
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else:
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return pd.DataFrame([ parser(line.strip()) for line in stream if line.strip() != ''])
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def read (path):
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"""
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This function will read files in a folder and provide has expressions of the files
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"""
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_cmd = ["""find :path -type f -exec md5sum "{}" + """ , """find :path -type f -exec ls -lh "{}" + |grep -E " .*$" -o """]
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_df = apply(_cmd[0].replace(":path",path))
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_data= apply(_cmd[1].replace(":path",path),parse)
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if _data.shape[0] == _df.shape[0] :
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_data['content'] = _df.content
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return _data
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read('/home/steve/tmp/logs') |