add some more bayes stuff

[tt-rss.git] / plugins / af_sort_bayes / init.php

diff --git a/plugins/af_sort_bayes/init.php b/plugins/af_sort_bayes/init.php
index 213c6aede3fe7df6fbf586a3dc25072c3936658f..23f38ec25df97778b0ba9f1d8e8b3e5fa9e6ef20 100644 (file)
--- a/plugins/af_sort_bayes/init.php
+++ b/plugins/af_sort_bayes/init.php
@@ -5,6 +5,7 @@ class Af_Sort_Bayes extends Plugin {
        private $host;
        private $filters = array();
        private $dbh;
+       private $score_modifier = 50;
 
        function about() {
                return array(1.0,
@@ -31,8 +32,39 @@ class Af_Sort_Bayes extends Plugin {
                $article_id = (int) $_REQUEST["article_id"];
                $train_up = sql_bool_to_bool($_REQUEST["train_up"]);
 
-               print "FIXME: $article_id :: $train_up";
+               $category = $train_up ? "GOOD" : "NEUTRAL";
 
+               $nbs = new NaiveBayesianStorage($_SESSION["uid"]);
+               $nb = new NaiveBayesian($nbs);
+
+               $result = $this->dbh->query("SELECT score, guid, title, content FROM ttrss_entries, ttrss_user_entries WHERE ref_id = id AND id = " .
+                       $article_id . " AND owner_uid = " . $_SESSION["uid"]);
+
+               if ($this->dbh->num_rows($result) != 0) {
+                       $guid = $this->dbh->fetch_result($result, 0, "guid");
+                       $title = $this->dbh->fetch_result($result, 0, "title");
+                       $content = mb_strtolower($title . " " . strip_tags($this->dbh->fetch_result($result, 0, "content")));
+                       $score = $this->dbh->fetch_result($result, 0, "score");
+
+                       $this->dbh->query("BEGIN");
+
+                       if ($nb->untrain($guid, $content)) {
+                               if ($score >= $this->score_modifier) $score -= $this->score_modifier;
+                       }
+
+                       $nb->train($guid, $nbs->getCategoryByName($category), $content);
+
+                       if ($category == "GOOD") $score += $this->score_modifier;
+
+                       $this->dbh->query("UPDATE ttrss_user_entries SET score = '$score' WHERE ref_id = $article_id AND owner_uid = " . $_SESSION["uid"]);
+
+                       $nb->updateProbabilities();
+
+                       $this->dbh->query("COMMIT");
+
+               }
+
+               print "$article_id :: $category";
        }
 
        function get_js() {
@@ -54,9 +86,11 @@ class Af_Sort_Bayes extends Plugin {
        function init_database() {
                $prefix = "ttrss_plugin_af_sort_bayes";
 
-               /*$this->dbh->query("DROP TABLE IF EXISTS ${prefix}_references", false);
-               $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_categories", false);
-               $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_wordfreqs", false);*/
+               // TODO there probably should be a way for plugins to determine their schema version to upgrade tables
+
+               /*$this->dbh->query("DROP TABLE IF EXISTS ${prefix}_wordfreqs", false);
+               $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_references", false);
+               $this->dbh->query("DROP TABLE IF EXISTS ${prefix}_categories", false);*/
 
                $this->dbh->query("BEGIN");
 
@@ -69,9 +103,9 @@ class Af_Sort_Bayes extends Plugin {
                        owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE,
                        word_count BIGINT NOT NULL DEFAULT '0')");
 
-               $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_documents (
+               $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_references (
                        id SERIAL NOT NULL PRIMARY KEY,
-                       document varchar(250) NOT NULL DEFAULT '',
+                       document_id VARCHAR(255) NOT NULL,
                        category_id INTEGER NOT NULL REFERENCES ${prefix}_categories(id) ON DELETE CASCADE,
                        owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE,
                        content text NOT NULL)");
@@ -82,6 +116,17 @@ class Af_Sort_Bayes extends Plugin {
                        owner_uid INTEGER NOT NULL REFERENCES ttrss_users(id) ON DELETE CASCADE,
                        count BIGINT NOT NULL DEFAULT '0')");
 
+               $owner_uid = @$_SESSION["uid"];
+
+               if ($owner_uid) {
+                       $result = $this->dbh->query("SELECT id FROM ${prefix}_categories WHERE owner_uid = $owner_uid LIMIT 1");
+
+                       if ($this->dbh->num_rows($result) == 0) {
+                               $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('GOOD', $owner_uid)");
+                               $this->dbh->query("INSERT INTO ${prefix}_categories (category, owner_uid) VALUES ('NEUTRAL', $owner_uid)");
+                       }
+               }
+
                $this->dbh->query("COMMIT");
        }
 
@@ -98,6 +143,52 @@ class Af_Sort_Bayes extends Plugin {
        function hook_article_filter($article) {
                $owner_uid = $article["owner_uid"];
 
+               $nbs = new NaiveBayesianStorage($owner_uid);
+               $nb = new NaiveBayesian($nbs);
+
+               $categories = $nbs->getCategories();
+
+               if (count($categories) > 0) {
+
+                       $count_neutral = 0;
+                       $count_good = 0;
+                       $id_good = 0;
+                       $id_neutral = 0;
+
+                       foreach ($categories as $id => $cat) {
+                               if ($cat["category"] == "GOOD") {
+                                       $id_good = $id;
+                                       $count_good += $cat["word_count"];
+                               } else if ($cat["category"] == "NEUTRAL") {
+                                       $id_neutral = $id;
+                                       $count_neutral += $cat["word_count"];
+                               }
+                       }
+
+                       $dst_category = $id_neutral;
+
+                       $bayes_content = mb_strtolower($article["title"] . " " . strip_tags($article["content"]));
+
+                       if ($count_neutral >= 3000 && $count_good >= 1000) {
+                               // enable automatic categorization
+
+                               $result = $nb->categorize($bayes_content);
+
+                               if (count($result) == 2) {
+                                       $prob_good = $result[$id_good];
+                                       $prob_neutral = $result[$id_neutral];
+
+                                       if ($prob_good > 0.90 && $prob_good > $prob_neutral) {
+                                               //$dst_category = $id_good; // should we autofile as good or not? idk
+                                               $article["score_modifier"] += $this->score_modifier;
+                                       }
+                               }
+                       }
+
+                       $nb->train($article["guid_hashed"], $dst_category, $bayes_content);
+
+                       $nb->updateProbabilities();
+               }
 
                return $article;