sb_dbexpimp.py

用python实现的邮件过滤器

#! /usr/bin/env python

"""sb_dbexpimp.py - Bayes database export/import

    This utility has the primary function of exporting and importing
    a spambayes database into/from a CSV file.  This is useful in a number
    of scenarios.

    Platform portability of database - CSV files can be exported and
    imported across platforms (Windows and Linux, for example).

    Database implementation changes - databases can survive database
    implementation upgrades or new database implementations.  For example,
    if a dbm implementation changes between python x.y and python x.y+1...

    Database reorganization - an export followed by an import reorgs an
    existing database, <theoretically> improving performance, at least in
    some database implementations.

    Database sharing - it is possible to distribute particular databases
    for research purposes, database sharing purposes, or for new users to
    have a 'seed' database to start with.

    Database merging - multiple databases can be merged into one quite
    easily by specifying -m on an import.  This will add the two database
    nham and nspams together and for wordinfo conflicts, will add spamcount
    and hamcount together.

Usage:
    sb_dbexpimp [options]

        options:
            -e     : export
            -i     : import
            -f: FN : flat file to export to or import from
            -p: FN : name of pickled database file to use
            -d: FN : name of dbm database file to use
            -m     : merge import into an existing database file.  This is
                     meaningful only for import. If omitted, a new database
                     file will be created.  If specified, the imported
                     wordinfo will be merged into an existing database.
                     Run dbExpImp -h for more information.
            -o: section:option:value :
                     set [section, option] in the options database to value

            -h     : help

If neither -p nor -d is specified, then the values in your configuration
file (or failing that, the defaults) will be used.  In this way, you may
convert to and from storage formats other than pickle and dbm.

Examples:

    Export pickled mybayes.db into mybayes.db.export as a CSV file
        sb_dbexpimp -e -p mybayes.db -f mybayes.db.export

    Import mybayes.db.export into a new DBM mybayes.db
        sb_dbexpimp -i -d mybayes.db -f mybayes.db.export

    Convert a bayes database from pickle to DBM
        sb_dbexpimp -e -p abayes.db -f abayes.export
        sb_dbexpimp -i -d abayes.db -f abayes.export

    Create a new DBM database (newbayes.db) from two
        DBM databases (abayes.db, bbayes.db)
        sb_dbexpimp -e -d abayes.db -f abayes.export
        sb_dbexpimp -e -d bbayes.db -f bbayes.export
        sb_dbexpimp -i -d newbayes.db -f abayes.export
        sb_dbexpimp -i -m -d newbayes.db -f bbayes.export
"""

# This module is part of the spambayes project, which is Copyright 2002-5
# The Python Software Foundation and is covered by the Python Software
# Foundation license.

from __future__ import generators

__author__ = "Tim Stone <[e-mail]>"

# Python 2.2 compatibility stuff
try:
    True, False
except NameError:
    True, False = 1, 0

try:
    import csv
    # might get the old object craft csv module - has no reader attr 
    if not hasattr(csv, "reader"): 
        raise ImportError 
except ImportError:
    import spambayes.compatcsv as csv

try:
    x = UnicodeDecodeError
except NameError:
    UnicodeDecodeError = UnicodeError
else:
    del x


import spambayes.storage
from spambayes.Options import options
import sys, os, getopt, errno, re
import urllib
from types import UnicodeType

def uquote(s):
    if isinstance(s, UnicodeType):
        s = s.encode('utf-8')
    return s

# Heaven only knows what encoding non-ASCII stuff will be in
# Try a few common western encodings and punt if they all fail
def uunquote(s):
    for encoding in ("utf-8", "cp1252", "iso-8859-1"):
        try:
            return unicode(s, encoding)
        except UnicodeDecodeError:
            pass
    # punt
    return s

def runExport(dbFN, useDBM, outFN):
    bayes = spambayes.storage.open_storage(dbFN, useDBM)
    if useDBM == "dbm":
        words = bayes.db.keys()
        words.remove(bayes.statekey)
    else:
        words = bayes.wordinfo.keys()

    try:
        fp = open(outFN, 'wb')
    except IOError, e:
        if e.errno != errno.ENOENT:
            raise

    writer = csv.writer(fp)

    nham = bayes.nham;
    nspam = bayes.nspam;

    print "Exporting database %s to file %s" % (dbFN, outFN)
    print "Database has %s ham, %s spam, and %s words" \
            % (nham, nspam, len(words))

    writer.writerow([nham, nspam])

    for word in words:
        wi = bayes._wordinfoget(word)
        hamcount = wi.hamcount
        spamcount = wi.spamcount
        word = uquote(word)
        writer.writerow([word, hamcount, spamcount])

def runImport(dbFN, useDBM, newDBM, inFN):

    if newDBM:
        try:
            os.unlink(dbFN)
        except OSError:
            pass

    bayes = spambayes.storage.open_storage(dbFN, useDBM)

    fp = open(inFN, 'rb')
    rdr = csv.reader(fp)
    (nham, nspam) = rdr.next()

    if newDBM:
        bayes.nham = int(nham)
        bayes.nspam = int(nspam)
    else:
        bayes.nham += int(nham)
        bayes.nspam += int(nspam)

    if newDBM:
        impType = "Importing"
    else:
        impType = "Merging"

    print "%s file %s into database %s" % (impType, inFN, dbFN)

    for (word, hamcount, spamcount) in rdr:
        word = uunquote(word)

        # Can't use wordinfo[word] here, because wordinfo
        # is only a cache with dbm!  Need to use _wordinfoget instead.
        wi = bayes._wordinfoget(word)
        if wi is None:
            wi = bayes.WordInfoClass()

        wi.hamcount += int(hamcount)
        wi.spamcount += int(spamcount)

        bayes._wordinfoset(word, wi)

    print "Storing database, please be patient.  Even moderately sized"
    print "databases may take a very long time to store."
    bayes.store()
    print "Finished storing database"

    if useDBM == "dbm" or useDBM == True:
        words = bayes.db.keys()
        words.remove(bayes.statekey)
    else:
        words = bayes.wordinfo.keys()

    print "Database has %s ham, %s spam, and %s words" \
           % (bayes.nham, bayes.nspam, len(words))


if __name__ == '__main__':

    try:
        opts, args = getopt.getopt(sys.argv[1:], 'iehmvd:p:f:o:')
    except getopt.error, msg:
        print >>sys.stderr, str(msg) + '\n\n' + __doc__
        sys.exit()

    useDBM = "pickle"
    newDBM = True
    dbFN = None
    flatFN = None
    exp = False
    imp = False

    for opt, arg in opts:
        if opt == '-h':
            print >>sys.stderr, __doc__
            sys.exit()
        elif opt == '-f':
            flatFN = arg
        elif opt == '-e':
            exp = True
        elif opt == '-i':
            imp = True
        elif opt == '-m':
            newDBM = False
        elif opt in ('-o', '--option'):
            options.set_from_cmdline(arg, sys.stderr)
    dbFN, useDBM = spambayes.storage.database_type(opts)

    if (dbFN and flatFN):
        if exp:
            runExport(dbFN, useDBM, flatFN)
        if imp:
            runImport(dbFN, useDBM, newDBM, flatFN)
    else:
        print >>sys.stderr, __doc__