def Score(driver, manager, mapi_folder, subject, options, stream=None):
num = 0
if options.all:
getter = driver.GetAllItems
getter_args = (mapi_folder, )
else:
getter = driver.GetItemsWithValue
getter_args = (mapi_folder, PR_SUBJECT_A, subject)
for item in getter(*getter_args):
num += 1
if num % 1000 == 0:
print >> sys.stderr, "Processed", num, "items..."
hr, props = item.GetProps((PR_ENTRYID, PR_STORE_ENTRYID, PR_SUBJECT_A),
0)
(tag, eid), (tag, store_eid), (tag, sub) = props
eid = mapi.HexFromBin(eid)
store_eid = mapi.HexFromBin(store_eid)
try:
msm = manager.message_store.GetMessage((store_eid, eid))
manager.classifier_data.message_db.load_msg(msm)
score = manager.score(msm)
if not options.quiet: print "Message %r scored %g" % (sub, score)
if options.show_clues:
clues = GetClues(manager, msm)
if not options.quiet: print >> stream, clues
if options.quiet:
continue
if options.show_image_info:
eob = msm.GetEmailPackageObject()
# Show what the OCR managed to extract.
from spambayes.ImageStripper import crack_images
from spambayes.tokenizer import imageparts
image_text, image_toks = crack_images(imageparts(eob))
print >> stream, "Image text:", repr(image_text)
print >> stream, "Image tokens:", repr(image_toks)
print >> stream # blank lines between messages
except:
print >> sys.stderr, "FAILED to convert message:", sub
raise
print >> stream, "Scored", num, "messages."
def Score(driver, manager, mapi_folder, subject, options, stream=None):
num = 0
if options.all:
getter = driver.GetAllItems
getter_args = (mapi_folder,)
else:
getter = driver.GetItemsWithValue
getter_args = (mapi_folder, PR_SUBJECT_A, subject)
for item in getter(*getter_args):
num += 1
if num % 1000 == 0:
print >> sys.stderr, "Processed", num, "items..."
hr, props = item.GetProps((PR_ENTRYID,PR_STORE_ENTRYID, PR_SUBJECT_A), 0)
(tag, eid), (tag, store_eid), (tag, sub) = props
eid = mapi.HexFromBin(eid)
store_eid = mapi.HexFromBin(store_eid)
try:
msm = manager.message_store.GetMessage((store_eid, eid))
manager.classifier_data.message_db.load_msg(msm)
score = manager.score(msm)
if not options.quiet: print "Message %r scored %g" % (sub, score)
if options.show_clues:
clues = GetClues(manager, msm)
if not options.quiet: print >> stream, clues
if options.quiet:
continue
if options.show_image_info:
eob = msm.GetEmailPackageObject()
# Show what the OCR managed to extract.
from spambayes.ImageStripper import crack_images
from spambayes.tokenizer import imageparts
image_text, image_toks = crack_images(imageparts(eob))
print >> stream, "Image text:", repr(image_text)
print >> stream, "Image tokens:", repr(image_toks)
print >> stream # blank lines between messages
except:
print >> sys.stderr, "FAILED to convert message:", sub
raise
print >> stream, "Scored", num, "messages."
def tokenize_body(self, msg):
"""Generate a stream of tokens from an email Message.
If options['Tokenizer', 'check_octets'] is True, the first few
undecoded characters of application/octet-stream parts of the
message body become tokens.
"""
if options["Tokenizer", "check_octets"]:
for part in octetparts(msg):
try:
text = part.get_payload(decode=True)
except:
yield "control: couldn't decode octet"
text = part.get_payload(decode=False)
if text is None:
yield "control: octet payload is None"
continue
yield "octet:%s" % text[:options["Tokenizer",
"octet_prefix_size"]]
parts = imageparts(msg)
if options["Tokenizer", "image_size"]:
total_len = 0
for part in parts:
try:
text = part.get_payload(decode=True)
except:
yield "control: couldn't decode image"
text = part.get_payload(decode=False)
total_len += len(text or "")
if text is None:
yield "control: image payload is None"
if total_len:
yield "image-size:2**%d" % round(log2(total_len))
if options["Tokenizer", "crack_images"]:
engine_name = options["Tokenizer", 'ocr_engine']
from spambayes.ImageStripper import crack_images
text, tokens = crack_images(engine_name, parts)
for t in tokens:
yield t
for t in self.tokenize_text(text):
yield t
for part in textparts(msg):
try:
text = part.get_payload(decode=True)
except:
yield "control: couldn't decode"
text = part.get_payload(decode=False)
if text is not None:
text = try_to_repair_damaged_base64(text)
if text is None:
yield 'control: payload is None'
continue
text = numeric_entity_re.sub(numeric_entity_replacer, text)
text = text.lower()
if options["Tokenizer", "replace_nonascii_chars"]:
text = text.translate(non_ascii_translate_tab)
for t in find_html_virus_clues(text):
yield "virus:%s" % t
for cracker in (crack_uuencode,
crack_urls,
crack_html_style,
crack_html_comment,
crack_noframes):
text, tokens = cracker(text)
for t in tokens:
yield t
text = breaking_entity_re.sub(' ', text)
text = html_re.sub('', text)
for t in self.tokenize_text(text):
yield t
