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annotate website/issues/extensions/spambayes.py @ 5118:57452bc6d989

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issue2550853 - better error handling and cleanup on some postgres tests by Stuart McGraw. My postgres tests passed both before and after I applied his patch, but the code change seems rational. issue2086536 - back_postgresql: fixing pg_command and prefering psycopg2. Patch done by Philipp Gortan (mephinet). His patch also improves handling of retryable errors. Applied and edited by John Rouillard. Edits included removing support for psycopg1. See: https://sourceforge.net/p/roundup/mailman/message/32855027/ for rational for dropping it Again all 137 postgres tests pass.
author John Rouillard <rouilj@ieee.org>
date Sat, 02 Jul 2016 21:15:23 -0400
parents ca692423e401
children 198b6e810c67
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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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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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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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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.add_ok_message(self._('Message classified as') + s)
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66 else:
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67 self.client.add_error_message(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/