/usr/lib/python2.7/dist-packages/spambayes/message.py is in spambayes 1.1b1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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"""message.py - Core Spambayes classes.
Classes:
Message - an email.Message.Message, extended with spambayes methods
SBHeaderMessage - A Message with spambayes header manipulations
MessageInfoDB - persistent state storage for Message, using dbm
MessageInfoZODB - persistent state storage for Message, using ZODB
MessageInfoPickle - persistent state storage for Message, using pickle
Abstract:
MessageInfoDB is a simple shelve persistency class for the persistent
state of a Message obect. The MessageInfoDB currently does not provide
iterators, but should at some point. This would allow us to, for
example, see how many messages have been trained differently than their
classification, for fp/fn assessment purposes.
Message is an extension of the email package Message class, to
include persistent message information. The persistent state
currently consists of the message id, its current classification, and
its current training. The payload is not persisted.
SBHeaderMessage extends Message to include spambayes header specific
manipulations.
Usage:
A typical classification usage pattern would be something like:
>>> import email
>>> # substance comes from somewhere else
>>> msg = email.message_from_string(substance, _class=SBHeaderMessage)
>>> id = msg.setIdFromPayload()
>>> if id is None:
>>> msg.setId(time()) # or some unique identifier
>>> msg.delSBHeaders() # never include sb headers in a classification
>>> # bayes object is your responsibility
>>> (prob, clues) = bayes.spamprob(msg.asTokens(), evidence=True)
>>> msg.addSBHeaders(prob, clues)
A typical usage pattern to train as spam would be something like:
>>> import email
>>> # substance comes from somewhere else
>>> msg = email.message_from_string(substance, _class=SBHeaderMessage)
>>> id = msg.setId(msgid) # id is a fname, outlook msg id, something...
>>> msg.delSBHeaders() # never include sb headers in a train
>>> if msg.getTraining() == False: # could be None, can't do boolean test
>>> bayes.unlearn(msg.asTokens(), False) # untrain the ham
>>> bayes.learn(msg.asTokens(), True) # train as spam
>>> msg.rememberTraining(True)
To Do:
o Suggestions?
"""
# This module is part of the spambayes project, which is Copyright 2002-2007
# The Python Software Foundation and is covered by the Python Software
# Foundation license.
from __future__ import generators
__author__ = "Tim Stone <tim@fourstonesExpressions.com>"
__credits__ = "Mark Hammond, Tony Meyer, all the spambayes contributors."
import sys
import types
import time
import math
import re
import errno
import shelve
import warnings
import cPickle as pickle
import traceback
import email.Message
import email.Parser
import email.Header
import email.Generator
from spambayes import storage
from spambayes import dbmstorage
from spambayes.tokenizer import tokenize
from spambayes.Options import options
from spambayes.safepickle import pickle_read, pickle_write
try:
import cStringIO as StringIO
except ImportError:
import StringIO
CRLF_RE = re.compile(r'\r\n|\r|\n')
STATS_START_KEY = "Statistics start date"
STATS_STORAGE_KEY = "Persistent statistics"
PERSISTENT_HAM_STRING = 'h'
PERSISTENT_SPAM_STRING = 's'
PERSISTENT_UNSURE_STRING = 'u'
class MessageInfoBase(object):
def __init__(self, db_name=None):
self.db_name = db_name
def __len__(self):
return len(self.keys())
def get_statistics_start_date(self):
if self.db.has_key(STATS_START_KEY):
return self.db[STATS_START_KEY]
else:
return None
def set_statistics_start_date(self, date):
self.db[STATS_START_KEY] = date
self.store()
def get_persistent_statistics(self):
if self.db.has_key(STATS_STORAGE_KEY):
return self.db[STATS_STORAGE_KEY]
else:
return None
def set_persistent_statistics(self, stats):
self.db[STATS_STORAGE_KEY] = stats
self.store()
def __getstate__(self):
return self.db
def __setstate__(self, state):
self.db = state
def load_msg(self, msg):
if self.db is not None:
key = msg.getDBKey()
assert key is not None, "None is not a valid key."
try:
try:
attributes = self.db[key]
except pickle.UnpicklingError:
# The old-style Outlook message info db didn't use
# shelve, so get it straight from the dbm.
if hasattr(self, "dbm"):
attributes = self.dbm[key]
else:
raise
except KeyError:
# Set to None, as it's not there.
for att in msg.stored_attributes:
# Don't overwrite.
if not hasattr(msg, att):
setattr(msg, att, None)
else:
if not isinstance(attributes, types.ListType):
# Old-style message info db
if isinstance(attributes, types.TupleType):
# sb_server/sb_imapfilter, which only handled
# storing 'c' and 't'.
(msg.c, msg.t) = attributes
return
elif isinstance(attributes, types.StringTypes):
# Outlook plug-in, which only handled storing 't',
# and did it as a string.
msg.t = {"0" : False, "1" : True}[attributes]
return
else:
print >> sys.stderr, "Unknown message info type", \
attributes
sys.exit(1)
for att, val in attributes:
setattr(msg, att, val)
def store_msg(self, msg):
if self.db is not None:
msg.date_modified = time.time()
attributes = []
for att in msg.stored_attributes:
attributes.append((att, getattr(msg, att)))
key = msg.getDBKey()
assert key is not None, "None is not a valid key."
self.db[key] = attributes
self.store()
def remove_msg(self, msg):
if self.db is not None:
del self.db[msg.getDBKey()]
self.store()
def keys(self):
return self.db.keys()
class MessageInfoPickle(MessageInfoBase):
def __init__(self, db_name, pickle_type=1):
MessageInfoBase.__init__(self, db_name)
self.mode = pickle_type
self.load()
def load(self):
try:
self.db = pickle_read(self.db_name)
except IOError, e:
if e.errno == errno.ENOENT:
# New pickle
self.db = {}
else:
raise
def close(self):
# we keep no resources open - nothing to do
pass
def store(self):
pickle_write(self.db_name, self.db, self.mode)
class MessageInfoDB(MessageInfoBase):
def __init__(self, db_name, mode='c'):
MessageInfoBase.__init__(self, db_name)
self.mode = mode
self.load()
def load(self):
try:
self.dbm = dbmstorage.open(self.db_name, self.mode)
self.db = shelve.Shelf(self.dbm)
except dbmstorage.error:
# This probably means that we don't have a dbm module
# available. Print out a warning, and continue on
# (not persisting any of this data).
if options["globals", "verbose"]:
print "Warning: no dbm modules available for MessageInfoDB"
self.dbm = self.db = None
def __del__(self):
self.close()
def close(self):
# Close our underlying database. Better not assume all databases
# have close functions!
def noop():
pass
getattr(self.db, "close", noop)()
getattr(self.dbm, "close", noop)()
def store(self):
if self.db is not None:
self.db.sync()
# If ZODB isn't available, then this class won't be useable, but we
# still need to be able to import this module. So we pretend that all
# is ok.
try:
from persistent import Persistent
except ImportError:
Persistent = object
class _PersistentMessageInfo(MessageInfoBase, Persistent):
def __init__(self):
import ZODB
from BTrees.OOBTree import OOBTree
MessageInfoBase.__init__(self)
self.db = OOBTree()
class MessageInfoZODB(storage.ZODBClassifier):
ClassifierClass = _PersistentMessageInfo
def __init__(self, db_name, mode='c'):
self.nham = self.nspam = 0 # Only used for debugging prints
storage.ZODBClassifier.__init__(self, db_name, mode)
self.classifier.store = self.store
self.db = self.classifier
def __setattr__(self, att, value):
# Override ZODBClassifier.__setattr__
object.__setattr__(self, att, value)
# values are classifier class, True if it accepts a mode
# arg, and True if the argument is a pathname
_storage_types = {"dbm" : (MessageInfoDB, True, True),
"pickle" : (MessageInfoPickle, False, True),
## "pgsql" : (MessageInfoPG, False, False),
## "mysql" : (MessageInfoMySQL, False, False),
## "cdb" : (MessageInfoCDB, False, True),
"zodb" : (MessageInfoZODB, True, True),
## "zeo" : (MessageInfoZEO, False, False),
}
def open_storage(data_source_name, db_type="dbm", mode=None):
"""Return a storage object appropriate to the given parameters."""
try:
klass, supports_mode, unused = _storage_types[db_type]
except KeyError:
raise storage.NoSuchClassifierError(db_type)
if supports_mode and mode is not None:
return klass(data_source_name, mode)
else:
return klass(data_source_name)
def database_type():
dn = ("Storage", "messageinfo_storage_file")
# The storage options here may lag behind those in storage.py,
# so we try and be more robust. If we can't use the same storage
# method, then we fall back to pickle.
nm, typ = storage.database_type((), default_name=dn)
if typ not in _storage_types.keys():
typ = "pickle"
return nm, typ
class Message(object, email.Message.Message):
'''An email.Message.Message extended for SpamBayes'''
def __init__(self, id=None):
email.Message.Message.__init__(self)
# persistent state
# (non-persistent state includes all of email.Message.Message state)
self.stored_attributes = ['c', 't', 'date_modified', ]
self.getDBKey = self.getId
self.id = None
self.c = None
self.t = None
self.date_modified = None
if id is not None:
self.setId(id)
# This whole message info database thing is a real mess. It really
# ought to be a property of the Message class, not each instance.
# So we want to access it via classmethods. However, we have treated
# it as a regular attribute, so need to make it a property. To make
# a classmethod property, we have to jump through some hoops, which we
# deserve for not doing it right in the first place.
_message_info_db = None
def _get_class_message_info_db(klass):
# If, the first time we access the attribute, it hasn't been
# set, then we load up the default one.
if klass._message_info_db is None:
nm, typ = database_type()
klass._message_info_db = open_storage(nm, typ)
return klass._message_info_db
_get_class_message_info_db = classmethod(_get_class_message_info_db)
def _set_class_message_info_db(klass, value):
klass._message_info_db = value
_set_class_message_info_db = classmethod(_set_class_message_info_db)
def _get_message_info_db(self):
return self._get_class_message_info_db()
def _set_message_info_db(self, value):
self._set_class_message_info_db(value)
message_info_db = property(_get_message_info_db, _set_message_info_db)
# This function (and it's hackishness) can be avoided by using
# email.message_from_string(text, _class=SBHeaderMessage)
# i.e. instead of doing this:
# >>> msg = spambayes.message.SBHeaderMessage()
# >>> msg.setPayload(substance)
# you do this:
# >>> msg = email.message_from_string(substance, _class=SBHeaderMessage)
# imapfilter has an example of this in action
def setPayload(self, payload):
"""DEPRECATED.
This function does not work (as a result of using private
methods in a hackish way) in Python 2.4, so is now deprecated.
Use *_from_string as described above.
More: Python 2.4 has a new email package, and the private functions
are gone. So this won't even work. We have to do something to
get this to work, for the 1.0.x branch, so use a different ugly
hack.
"""
warnings.warn("setPayload is deprecated. Use " \
"email.message_from_string(payload, _class=" \
"Message) instead.",
DeprecationWarning, 2)
new_me = email.message_from_string(payload, _class=Message)
self.__dict__.update(new_me.__dict__)
def setId(self, id):
if self.id and self.id != id:
raise ValueError, ("MsgId has already been set,"
" cannot be changed %r %r") % (self.id, id)
if id is None:
raise ValueError, "MsgId must not be None"
if not type(id) in types.StringTypes:
raise TypeError, "Id must be a string"
if id == STATS_START_KEY:
raise ValueError, "MsgId must not be " + STATS_START_KEY
if id == STATS_STORAGE_KEY:
raise ValueError, "MsgId must not be " + STATS_STORAGE_KEY
self.id = id
self.message_info_db.load_msg(self)
def getId(self):
return self.id
def tokenize(self):
return tokenize(self)
def _force_CRLF(self, data):
"""Make sure data uses CRLF for line termination."""
return CRLF_RE.sub('\r\n', data)
def as_string(self, unixfrom=False, mangle_from_=True):
# The email package stores line endings in the "internal" Python
# format ('\n'). It is up to whoever transmits that information to
# convert to appropriate line endings (according to RFC822, that is
# \r\n *only*). imaplib *should* take care of this for us (in the
# append function), but does not, so we do it here
try:
fp = StringIO.StringIO()
g = email.Generator.Generator(fp, mangle_from_=mangle_from_)
g.flatten(self, unixfrom)
return self._force_CRLF(fp.getvalue())
except TypeError:
parts = []
for part in self.get_payload():
parts.append(email.Message.Message.as_string(part, unixfrom))
return self._force_CRLF("\n".join(parts))
def modified(self):
if self.id: # only persist if key is present
self.message_info_db.store_msg(self)
def GetClassification(self):
if self.c == PERSISTENT_SPAM_STRING:
return options['Headers', 'header_spam_string']
elif self.c == PERSISTENT_HAM_STRING:
return options['Headers', 'header_ham_string']
elif self.c == PERSISTENT_UNSURE_STRING:
return options['Headers', 'header_unsure_string']
return None
def RememberClassification(self, cls):
# this must store state independent of options settings, as they
# may change, which would really screw this database up
if cls == options['Headers', 'header_spam_string']:
self.c = PERSISTENT_SPAM_STRING
elif cls == options['Headers', 'header_ham_string']:
self.c = PERSISTENT_HAM_STRING
elif cls == options['Headers', 'header_unsure_string']:
self.c = PERSISTENT_UNSURE_STRING
else:
raise ValueError, \
"Classification must match header strings in options"
self.modified()
def GetTrained(self):
return self.t
def RememberTrained(self, isSpam):
# isSpam == None means no training has been done
self.t = isSpam
self.modified()
def __repr__(self):
return "spambayes.message.Message%r" % repr(self.__getstate__())
def __getstate__(self):
return (self.id, self.c, self.t)
def __setstate__(self, t):
(self.id, self.c, self.t) = t
class SBHeaderMessage(Message):
'''Message class that is cognizant of SpamBayes headers.
Adds routines to add/remove headers for SpamBayes'''
def setPayload(self, payload):
"""DEPRECATED.
"""
warnings.warn("setPayload is deprecated. Use " \
"email.message_from_string(payload, _class=" \
"SBHeaderMessage) instead.",
DeprecationWarning, 2)
new_me = email.message_from_string(payload, _class=SBHeaderMessage)
self.__dict__.update(new_me.__dict__)
def setIdFromPayload(self):
try:
self.setId(self[options['Headers', 'mailid_header_name']])
except ValueError:
return None
return self.id
def setDisposition(self, prob):
if prob < options['Categorization', 'ham_cutoff']:
disposition = options['Headers', 'header_ham_string']
elif prob > options['Categorization', 'spam_cutoff']:
disposition = options['Headers', 'header_spam_string']
else:
disposition = options['Headers', 'header_unsure_string']
self.RememberClassification(disposition)
def addSBHeaders(self, prob, clues):
"""Add hammie header, and remember message's classification. Also,
add optional headers if needed."""
self.setDisposition(prob)
disposition = self.GetClassification()
self[options['Headers', 'classification_header_name']] = disposition
if options['Headers', 'include_score']:
disp = "%.*f" % (options["Headers", "header_score_digits"], prob)
if options["Headers", "header_score_logarithm"]:
if prob <= 0.005 and prob > 0.0:
x = -math.log10(prob)
disp += " (%d)" % x
if prob >= 0.995 and prob < 1.0:
x = -math.log10(1.0-prob)
disp += " (%d)" % x
self[options['Headers', 'score_header_name']] = disp
if options['Headers', 'include_thermostat']:
thermostat = '**********'
self[options['Headers', 'thermostat_header_name']] = \
thermostat[:int(prob*10)]
if options['Headers', 'include_evidence']:
hco = options['Headers', 'clue_mailheader_cutoff']
sco = 1 - hco
evd = []
for word, score in clues:
if (word == '*H*' or word == '*S*' \
or score <= hco or score >= sco):
if isinstance(word, types.UnicodeType):
word = email.Header.Header(word,
charset='utf-8').encode()
try:
evd.append("%r: %.2f" % (word, score))
except TypeError:
evd.append("%r: %s" % (word, score))
# Line-wrap this header, because it can get very long. We don't
# use email.Header.Header because that can explode with unencoded
# non-ASCII characters. We can't use textwrap because that's 2.3.
wrappedEvd = []
headerName = options['Headers', 'evidence_header_name']
lineLength = len(headerName) + len(': ')
for component, index in zip(evd, range(len(evd))):
wrappedEvd.append(component)
lineLength += len(component)
if index < len(evd)-1:
if lineLength + len('; ') + len(evd[index+1]) < 78:
wrappedEvd.append('; ')
else:
wrappedEvd.append(';\n\t')
lineLength = 8
self[headerName] = "".join(wrappedEvd)
if options['Headers', 'add_unique_id']:
self[options['Headers', 'mailid_header_name']] = self.id
self.addNotations()
def addNotations(self):
"""Add the appropriate string to the subject: and/or to: header.
This is a reasonably ugly method of including the classification,
but no-one has a better idea about how to allow filtering in
'stripped down' mailers (i.e. Outlook Express), so, for the moment,
this is it.
"""
disposition = self.GetClassification()
# options["Headers", "notate_to"] (and notate_subject) can be
# either a single string (like "spam") or a tuple (like
# ("unsure", "spam")). In Python 2.3 checking for a string in
# something that could be a string or a tuple works fine, but
# it dies in Python 2.2, because you can't do 'string in string',
# only 'character in string', so we allow for that.
if isinstance(options["Headers", "notate_to"], types.StringTypes):
notate_to = (options["Headers", "notate_to"],)
else:
notate_to = options["Headers", "notate_to"]
if disposition in notate_to:
# Once, we treated the To: header just like the Subject: one,
# but that doesn't really make sense - and OE stripped the
# comma that we added, treating it as a separator, so it
# wasn't much use anyway. So we now convert the classification
# to an invalid address, and add that.
address = "%s@spambayes.invalid" % (disposition, )
try:
self.replace_header("To", "%s,%s" % (address, self["To"]))
except KeyError:
self["To"] = address
if isinstance(options["Headers", "notate_subject"], types.StringTypes):
notate_subject = (options["Headers", "notate_subject"],)
else:
notate_subject = options["Headers", "notate_subject"]
if disposition in notate_subject:
try:
self.replace_header("Subject", "%s,%s" % (disposition,
self["Subject"]))
except KeyError:
self["Subject"] = disposition
def delNotations(self):
"""If present, remove our notation from the subject: and/or to:
header of the message.
This is somewhat problematic, as we cannot be 100% positive that we
added the notation. It's almost certain to be us with the to:
header, but someone else might have played with the subject:
header. However, as long as the user doesn't turn this option on
and off, this will all work nicely.
See also [ 848365 ] Remove subject annotations from message review
page
"""
subject = self["Subject"]
if subject:
ham = options["Headers", "header_ham_string"] + ','
spam = options["Headers", "header_spam_string"] + ','
unsure = options["Headers", "header_unsure_string"] + ','
if options["Headers", "notate_subject"]:
for disp in (ham, spam, unsure):
if subject.startswith(disp):
self.replace_header("Subject", subject[len(disp):])
# Only remove one, maximum.
break
to = self["To"]
if to:
ham = "%s@spambayes.invalid," % \
(options["Headers", "header_ham_string"],)
spam = "%s@spambayes.invalid," % \
(options["Headers", "header_spam_string"],)
unsure = "%s@spambayes.invalid," % \
(options["Headers", "header_unsure_string"],)
if options["Headers", "notate_to"]:
for disp in (ham, spam, unsure):
if to.startswith(disp):
self.replace_header("To", to[len(disp):])
# Only remove one, maximum.
break
def currentSBHeaders(self):
"""Return a dictionary containing the current values of the
SpamBayes headers. This can be used to restore the values
after using the delSBHeaders() function."""
headers = {}
for header_name in [options['Headers', 'classification_header_name'],
options['Headers', 'mailid_header_name'],
(options['Headers', 'classification_header_name']
+ "-ID"),
options['Headers', 'thermostat_header_name'],
options['Headers', 'evidence_header_name'],
options['Headers', 'score_header_name'],
options['Headers', 'trained_header_name'],
]:
value = self[header_name]
if value is not None:
headers[header_name] = value
return headers
def delSBHeaders(self):
del self[options['Headers', 'classification_header_name']]
del self[options['Headers', 'mailid_header_name']]
del self[options['Headers', 'classification_header_name'] + "-ID"] # test mode header
del self[options['Headers', 'thermostat_header_name']]
del self[options['Headers', 'evidence_header_name']]
del self[options['Headers', 'score_header_name']]
del self[options['Headers', 'trained_header_name']]
# Also delete notations - typically this is called just before
# training, and we don't want them there for that.
self.delNotations()
# Utility function to insert an exception header into the given RFC822 text.
# This is used by both sb_server and sb_imapfilter, so it's handy to have
# it available separately.
def insert_exception_header(string_msg, msg_id=None):
"""Insert an exception header into the given RFC822 message (as text).
Returns a tuple of the new message text and the exception details."""
stream = StringIO.StringIO()
traceback.print_exc(None, stream)
details = stream.getvalue()
# Build the header. This will strip leading whitespace from
# the lines, so we add a leading dot to maintain indentation.
detailLines = details.strip().split('\n')
dottedDetails = '\n.'.join(detailLines)
headerName = 'X-Spambayes-Exception'
header = email.Header.Header(dottedDetails, header_name=headerName)
# Insert the exception header, and optionally also insert the id header,
# otherwise we might keep doing this message over and over again.
# We also ensure that the line endings are /r/n as RFC822 requires.
try:
headers, body = re.split(r'\n\r?\n', string_msg, 1)
except ValueError:
# No body - this is a bad message!
headers = string_msg
body = ""
header = re.sub(r'\r?\n', '\r\n', str(header))
headers += "\n%s: %s\r\n" % (headerName, header)
if msg_id:
headers += "%s: %s\r\n" % \
(options["Headers", "mailid_header_name"], msg_id)
return (headers + '\r\n' + body, details)
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