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annotate website/issues/extensions/spambayes.py @ 5814:bd6d41f21a5a

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More extensive EditCSV testing. Uses test object to cover all types defined by database. Also check for an error with a row that's too short. CSV starts with blank line to verify that it recognises header line. Changes password, date, int, link and other fields. Deletes row and verified that it is retired. Make actions.py properly handle emptying of password field.
author John Rouillard <rouilj@ieee.org>
date Fri, 14 Jun 2019 21:26:19 -0400
parents e46ce04d5bbc
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
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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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24
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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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40
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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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69
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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/