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annotate website/issues/extensions/spambayes.py @ 8040:19cef1e285b0

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fix: remove delay when using csv export actions. The CSV file is written incrementally, so we can't determine the Content-Length. When using HTTP/1.1, this causes a delay while the browser waits for a timeout. Forcing the connection to close after the CSV file is written removes the delay. Ideally we should shift to chunked transfer encoding for these two actions, but that is much more invasive and when posting a request for CSV, it is unlikely that another request will be sent over the same socket.
author John Rouillard <rouilj@ieee.org>
date Tue, 18 Jun 2024 00:48:06 -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/