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annotate website/issues/extensions/spambayes.py @ 8478:ed4ef394d5d6

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doc: initial attempt to document setup of pgp support for email. Used an AI assistant to help write this. Basic gpg commands seem to work, but I have not tested this totally. Docs basically follow the setup used for pgp testing in the test suite. It looks like roundup accepts signed emails as well as encrypted and signed emails. But it does not generate signed emails. Also it looks like there is no PGP support for alternate email addresses. Only primary addresses can do PGP emails.
author John Rouillard <rouilj@ieee.org>
date Sat, 15 Nov 2025 16:59:24 -0500
parents e46ce04d5bbc
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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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 from roundup.anypy import xmlrpc_
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5
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6 import socket
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8 REVPAT = re.compile(r'(r[0-9]+\b|rev(ision)? [0-9]+\b)')
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9
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10 def extract_classinfo(db, classname, nodeid):
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11 node = db.getnode(classname, nodeid)
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12
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13 authorage = node['creation'].timestamp() - \
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14 db.getnode('user', node.get('author', node.get('creator')))['creation'].timestamp()
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15
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16 authorid = node.get('author', node.get('creator'))
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17
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18 content = db.getclass(classname).get(nodeid, 'content')
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19
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20 tokens = ["klass:%s" % classname,
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21 "author:%s" % authorid,
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22 "authorage:%d" % int(math.log(authorage)),
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23 "hasrev:%s" % (REVPAT.search(content) is not None)]
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25 return (content, tokens)
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26
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27 def train_spambayes(db, content, tokens, is_spam):
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28 spambayes_uri = db.config.detectors['SPAMBAYES_URI']
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29
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30 server = xmlrpc_.client.ServerProxy(spambayes_uri, verbose=False)
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31 try:
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32 server.train({'content':content}, tokens, {}, is_spam)
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33 return (True, None)
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34 except (socket.error, xmlrpc_.client.Error) as e:
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35 return (False, str(e))
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37
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38 class SpambayesClassify(Action):
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39 permissionType = 'SB: May Classify'
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41 def handle(self):
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42 (content, tokens) = extract_classinfo(self.db,
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43 self.classname, self.nodeid)
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44
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45 if "trainspam" in self.form:
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46 is_spam = True
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47 elif "trainham" in self.form:
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48 is_spam = False
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49
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50 (status, errmsg) = train_spambayes(self.db, content, tokens,
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51 is_spam)
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52
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53 node = self.db.getnode(self.classname, self.nodeid)
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54 props = {}
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55
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56 if status:
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57 if node.get('spambayes_misclassified', False):
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58 props['spambayes_misclassified'] = True
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59
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60 props['spambayes_score'] = 1.0
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61
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62 s = " SPAM"
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63 if not is_spam:
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64 props['spambayes_score'] = 0.0
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65 s = " HAM"
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66 self.client.add_ok_message(self._('Message classified as') + s)
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67 else:
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68 self.client.add_error_message(self._('Unable to classify message, got error:') + errmsg)
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70 klass = self.db.getclass(self.classname)
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71 klass.set(self.nodeid, **props)
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72 self.db.commit()
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73
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74 def sb_is_spam(obj):
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75 cutoff_score = float(obj._db.config.detectors['SPAMBAYES_SPAM_CUTOFF'])
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76 try:
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77 score = obj['spambayes_score']
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78 except KeyError:
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79 return False
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80 return score >= cutoff_score
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81
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82 def init(instance):
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83 instance.registerAction("spambayes_classify", SpambayesClassify)
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84 instance.registerUtil('sb_is_spam', sb_is_spam)
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85
Roundup Issue Tracker: http://roundup-tracker.org/