plugins/af_sort_bayes/init.php

   1 <?php
   2
   3 class Af_Sort_Bayes extends Plugin {
   4
   5         private $host;
   6         private $filters = array();
   7         private $dbh;
   8         private $score_modifier = 50;
   9
  10         function about() {
  11                 return array(1.0,
  12                         "Bayesian classifier for tt-rss (WIP)",
  13                         "fox");
  14         }
  15
  16         function init($host) {
  17                 require_once __DIR__ . "/lib/class.naivebayesian.php";
  18                 require_once __DIR__ . "/lib/class.naivebayesianstorage.php";
  19
  20                 $this->host = $host;
  21                 $this->dbh = Db::get();
  22
  23                 $this->init_database();
  24
  25                 $host->add_hook($host::HOOK_ARTICLE_FILTER, $this);
  26                 $host->add_hook($host::HOOK_PREFS_TAB, $this);
  27                 $host->add_hook($host::HOOK_ARTICLE_BUTTON, $this);
  28
  29         }
  30
  31         function trainArticle() {
  32                 $article_id = (int) $_REQUEST["article_id"];
  33                 $train_up = sql_bool_to_bool($_REQUEST["train_up"]);
  34
  35                 $category = $train_up ? "GOOD" : "NEUTRAL";
  36
  37                 $nbs = new NaiveBayesianStorage($_SESSION["uid"]);
  38                 $nb = new NaiveBayesian($nbs);
  39
  40                 $result = $this->dbh->query("SELECT score, guid, title, content FROM ttrss_entries, ttrss_user_entries WHERE ref_id = id AND id = " .
  41                         $article_id . " AND owner_uid = " . $_SESSION["uid"]);
  42
  43                 if ($this->dbh->num_rows($result) != 0) {
  44                         $guid = $this->dbh->fetch_result($result, 0, "guid");
  45                         $title = $this->dbh->fetch_result($result, 0, "title");
  46                         $content = mb_strtolower($title . " " . strip_tags($this->dbh->fetch_result($result, 0, "content")));
  47                         $score = $this->dbh->fetch_result($result, 0, "score");
  48
  49                         $this->dbh->query("BEGIN");
  50
  51                         if ($nb->untrain($guid, $content)) {
  52                                 if ($score >= $this->score_modifier) $score -= $this->score_modifier;
  53                         }
  54
  55                         $nb->train($guid, $nbs->getCategoryByName($category), $content);
  56
  57                         if ($category == "GOOD") $score += $this->score_modifier;
  58
  59                         $this->dbh->query("UPDATE ttrss_user_entries SET score = '$score' WHERE ref_id = $article_id AND owner_uid = " . $_SESSION["uid"]);
  60
  61                         $nb->updateProbabilities();
  62
  63                         $this->dbh->query("COMMIT");
  64
  65                 }
  66
  67                 print "$article_id :: $category";
  68         }
  69
  70         function get_js() {
  71                 return file_get_contents(__DIR__ . "/init.js");
  72         }
  73
  74         function hook_article_button($line) {
  75                 return "<img src=\"plugins/af_sort_bayes/thumb_up.png\"
  76                         style=\"cursor : pointer\" style=\"cursor : pointer\"
  77                         onclick=\"bayesTrain(".$line["id"].", true)\"
  78                         class='tagsPic' title='".__('+1')."'>" .
  79                 "<img src=\"plugins/af_sort_bayes/thumb_down.png\"
  80                         style=\"cursor : pointer\" style=\"cursor : pointer\"
  81                         onclick=\"bayesTrain(".$line["id"].", false)\"
  82                         class='tagsPic' title='".__('-1')."'>";
  83
  84         }
  85
  86         function init_database() {
  87                 $prefix = "ttrss_plugin_af_sort_bayes";
  88
  89                 // TODO there probably should be a way for plugins to determine their schema version to upgrade tables
  90
  91                 /*$this->dbh->query("DROP TABLE IF EXISTS ${prefix}_wordfreqs", false);
  92                 $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_references", false);
  93                 $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_categories", false);*/
  94
  95                 $this->dbh->query("BEGIN");
  96
  97                 // PG only for the time being
  98
  99                 $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_categories (
 100                         id SERIAL NOT NULL PRIMARY KEY,
 101                         category varchar(100) NOT NULL DEFAULT '',
 102                         probability DOUBLE PRECISION NOT NULL DEFAULT '0',
 103                         owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE,
 104                         word_count BIGINT NOT NULL DEFAULT '0')");
 105
 106                 $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_references (
 107                         id SERIAL NOT NULL PRIMARY KEY,
 108                         document_id VARCHAR(255) NOT NULL,
 109                         category_id INTEGER NOT NULL REFERENCES ${prefix}_categories(id) ON DELETE CASCADE,
 110                         owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE,
 111                         content text NOT NULL)");
 112
 113                 $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_wordfreqs (
 114                         word varchar(100) NOT NULL DEFAULT '',
 115                         category_id INTEGER NOT NULL REFERENCES ${prefix}_categories(id) ON DELETE CASCADE,
 116                         owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE,
 117                         count BIGINT NOT NULL DEFAULT '0')");
 118
 119                 $owner_uid = @$_SESSION["uid"];
 120
 121                 if ($owner_uid) {
 122                         $result = $this->dbh->query("SELECT id FROM ${prefix}_categories WHERE owner_uid = $owner_uid LIMIT 1");
 123
 124                         if ($this->dbh->num_rows($result) == 0) {
 125                                 $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('GOOD', $owner_uid)");
 126                                 $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('NEUTRAL', $owner_uid)");
 127                         }
 128                 }
 129
 130                 $this->dbh->query("COMMIT");
 131         }
 132
 133         function hook_prefs_tab($args) {
 134                 if ($args != "prefPrefs") return;
 135
 136                 print "<div dojoType=\"dijit.layout.AccordionPane\" title=\"".__('af_sort_bayes')."\">";
 137
 138                 //
 139
 140                 print "</div>";
 141         }
 142
 143         function hook_article_filter($article) {
 144                 $owner_uid = $article["owner_uid"];
 145
 146                 $nbs = new NaiveBayesianStorage($owner_uid);
 147                 $nb = new NaiveBayesian($nbs);
 148
 149                 $categories = $nbs->getCategories();
 150
 151                 if (count($categories) > 0) {
 152
 153                         $count_neutral = 0;
 154                         $count_good = 0;
 155                         $id_good = 0;
 156                         $id_neutral = 0;
 157
 158                         foreach ($categories as $id => $cat) {
 159                                 if ($cat["category"] == "GOOD") {
 160                                         $id_good = $id;
 161                                         $count_good += $cat["word_count"];
 162                                 } else if ($cat["category"] == "NEUTRAL") {
 163                                         $id_neutral = $id;
 164                                         $count_neutral += $cat["word_count"];
 165                                 }
 166                         }
 167
 168                         $dst_category = $id_neutral;
 169
 170                         $bayes_content = mb_strtolower($article["title"] . " " . strip_tags($article["content"]));
 171
 172                         if ($count_neutral >= 3000 && $count_good >= 1000) {
 173                                 // enable automatic categorization
 174
 175                                 $result = $nb->categorize($bayes_content);
 176
 177                                 if (count($result) == 2) {
 178                                         $prob_good = $result[$id_good];
 179                                         $prob_neutral = $result[$id_neutral];
 180
 181                                         if ($prob_good > 0.90 && $prob_good > $prob_neutral) {
 182                                                 $dst_category = $id_good; // should we autofile as good or not? idk
 183                                                 $article["score_modifier"] += $this->score_modifier;
 184                                         }
 185                                 }
 186                         }
 187
 188                         $nb->train($article["guid_hashed"], $dst_category, $bayes_content);
 189
 190                         $nb->updateProbabilities();
 191                 }
 192
 193                 return $article;
 194
 195         }
 196
 197         function api_version() {
 198                 return 2;
 199         }
 200
 201 }
 202 ?>