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annotate website/issues/extensions/spambayes.py @ 7317:7e25424e2169

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Fix spacing in TOC; Change pre blocks to scroll w/ scroll shadows The lists in a TOC have too much spacing after adding the lobotomized owl. Shrink it for desktop. The pre example code was getting wrapped and it was confusing. Some single lines looked like two etc. So change pre's to overflow with a scroll bar. To make the scroll section obvious (since scrollbars won't always be shown on mobile), add scroll shadows in direction of scrollability. I made arc shaped shadows rather than straight shadows as they look better.
author John Rouillard <rouilj@ieee.org>
date Thu, 11 May 2023 02:36:14 -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/