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@xiaolongbao-dimsum
Forked from urschrei/parseml.py
Last active March 25, 2022 09:45
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Extract attachments from EML files in the current dir, and write them to the output subdir
#!/usr/bin/env python
"""
2020 update:
- More iterators, fewer lists
- Python 3 compatible
- Processes files in parallel
(one thread per CPU, but that's not really how it works)
2022 update (xiaolongbao-dimsum)
Added the support of EML embedded in EML
More information: https://gist.github.com/urschrei/5258588?permalink_comment_id=4110071#gistcomment-4110071
"""
import glob
import os
import email
from email import policy
from multiprocessing import Pool
EXTENSION = "eml"
def extract(filename):
"""
Try to extract the attachments from all files in cwd
"""
# ensure that an output dir exists
od = "output"
os.path.exists(od) or os.makedirs(od)
output_count = 0
try:
with open(filename, "r") as f:
msg = email.message_from_file(f, policy=policy.default)
for attachment in msg.iter_attachments():
try:
output_filename = filename.split('.')[:-1][0].split('\\')[-1]+attachment.get_filename()
except AttributeError:
print("Got string instead of filename for %s. Skipping." % f.name)
continue
except TypeError as e:
print(e)
print(filename)
output_filename = None
# If no attachments are found, skip this file
if output_filename:
with open(os.path.join(od, output_filename), "wb") as of:
try:
of.write(attachment.get_payload(decode=True))
output_count += 1
except TypeError:
print("Couldn't get payload for %s" % output_filename)
#for EML embedded in EML
else:
output_filename = filename.split('.')[:-1][0].split('\\')[-1]+'_void_'+str(output_count)+'.eml'
with open(os.path.join(od, output_filename), "wb") as of:
try:
of.write(attachment.as_bytes()[162:])
output_count += 1
extract(os.path.join(od, output_filename))
except TypeError:
print("Couldn't get payload for %s" % output_filename)
if output_count == 0:
print("No attachment found for file %s!" % f.name)
# this should catch read and write errors
except IOError:
print("Problem with %s or one of its attachments!" % f.name)
return 1, output_count
if __name__ == "__main__":
# let's do this in parallel, using cpu count as number of threads
pool = Pool(None)
res = pool.map(extract, glob.iglob("*.%s" % EXTENSION))
# need these if we use _async
pool.close()
pool.join()
# 2-element list holding number of files, number of attachments
numfiles = [sum(i) for i in zip(*res)]
print("Done: Processed {} files with {} attachments.".format(*numfiles))
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