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annotate website/issues/extensions/spambayes.py @ 4632:4f25640b5521

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Unified all copies of detectors/userauditor.py The only functional change for the minimal and classic template is that the error message for invalid addresses now contains the address that caused the error. For the devel and website trackers the print command probably used while debugging was removed. Everything else is comment and vim modeline.
author Thomas Arendsen Hein <thomas@intevation.de>
date Fri, 01 Jun 2012 17:25:45 +0200
parents c2d0d3e9099d
children ca692423e401
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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4024
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1 import re, math
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2 from roundup.cgi.actions import Action
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3 from roundup.cgi.exceptions import *
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4
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5 import xmlrpclib, socket
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6
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7 REVPAT = re.compile(r'(r[0-9]+\b|rev(ision)? [0-9]+\b)')
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8
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9 def extract_classinfo(db, classname, nodeid):
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10 node = db.getnode(classname, nodeid)
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11
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12 authorage = node['creation'].timestamp() - \
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13 db.getnode('user', node.get('author', node.get('creator')))['creation'].timestamp()
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14
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15 authorid = node.get('author', node.get('creator'))
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16
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17 content = db.getclass(classname).get(nodeid, 'content')
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18
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19 tokens = ["klass:%s" % classname,
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20 "author:%s" % authorid,
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21 "authorage:%d" % int(math.log(authorage)),
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22 "hasrev:%s" % (REVPAT.search(content) is not None)]
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23
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24 return (content, tokens)
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25
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26 def train_spambayes(db, content, tokens, is_spam):
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27 spambayes_uri = db.config.detectors['SPAMBAYES_URI']
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28
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29 server = xmlrpclib.ServerProxy(spambayes_uri, verbose=False)
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30 try:
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31 server.train({'content':content}, tokens, {}, is_spam)
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32 return (True, None)
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33 except (socket.error, xmlrpclib.Error), e:
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34 return (False, str(e))
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35
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36
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37 class SpambayesClassify(Action):
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38 permissionType = 'SB: May Classify'
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39
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40 def handle(self):
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41 (content, tokens) = extract_classinfo(self.db,
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42 self.classname, self.nodeid)
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43
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44 if self.form.has_key("trainspam"):
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45 is_spam = True
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46 elif self.form.has_key("trainham"):
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47 is_spam = False
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48
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49 (status, errmsg) = train_spambayes(self.db, content, tokens,
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50 is_spam)
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51
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52 node = self.db.getnode(self.classname, self.nodeid)
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53 props = {}
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54
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55 if status:
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56 if node.get('spambayes_misclassified', False):
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57 props['spambayes_misclassified'] = True
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58
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59 props['spambayes_score'] = 1.0
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60
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61 s = " SPAM"
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62 if not is_spam:
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63 props['spambayes_score'] = 0.0
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64 s = " HAM"
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65 self.client.ok_message.append(self._('Message classified as') + s)
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66 else:
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67 self.client.error_message.append(self._('Unable to classify message, got error:') + errmsg)
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68
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69 klass = self.db.getclass(self.classname)
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70 klass.set(self.nodeid, **props)
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71 self.db.commit()
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72
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73 def sb_is_spam(obj):
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74 cutoff_score = float(obj._db.config.detectors['SPAMBAYES_SPAM_CUTOFF'])
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75 try:
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76 score = obj['spambayes_score']
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77 except KeyError:
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78 return False
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79 return score >= cutoff_score
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80
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81 def init(instance):
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82 instance.registerAction("spambayes_classify", SpambayesClassify)
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83 instance.registerUtil('sb_is_spam', sb_is_spam)
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84
Roundup Issue Tracker: http://roundup-tracker.org/