host = $host; $this->dbh = Db::get(); $this->init_database(); $host->add_hook($host::HOOK_ARTICLE_FILTER, $this); $host->add_hook($host::HOOK_PREFS_TAB, $this); $host->add_hook($host::HOOK_ARTICLE_BUTTON, $this); } function trainArticle() { $article_id = (int) $_REQUEST["article_id"]; $train_up = sql_bool_to_bool($_REQUEST["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 :: $category"; } function get_js() { return file_get_contents(__DIR__ . "/init.js"); } function get_prefs_js() { return file_get_contents(__DIR__ . "/init.js"); } function hook_article_button($line) { return "" . ""; } function init_database() { $prefix = $this->sql_prefix; // TODO there probably should be a way for plugins to determine their schema version to upgrade tables /*$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"); // PG only for the time being if (DB_TYPE == "mysql") { $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_categories ( id INTEGER NOT NULL PRIMARY KEY auto_increment, category varchar(100) NOT NULL DEFAULT '', probability DOUBLE NOT NULL DEFAULT '0', owner_uid INTEGER NOT NULL, FOREIGN KEY (owner_uid) REFERENCES ttrss_users(id) ON DELETE CASCADE, word_count BIGINT NOT NULL DEFAULT '0') ENGINE=InnoDB"); $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_references ( id INTEGER NOT NULL PRIMARY KEY auto_increment, document_id VARCHAR(255) NOT NULL, category_id INTEGER NOT NULL, FOREIGN KEY (category_id) REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, owner_uid INTEGER NOT NULL, FOREIGN KEY (owner_uid) REFERENCES ttrss_users(id) ON DELETE CASCADE, content text NOT NULL) ENGINE=InnoDB"); $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_wordfreqs ( word varchar(100) NOT NULL DEFAULT '', category_id INTEGER NOT NULL, FOREIGN KEY (category_id) REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, owner_uid INTEGER NOT NULL, FOREIGN KEY (owner_uid) REFERENCES ttrss_users(id) ON DELETE CASCADE, count BIGINT NOT NULL DEFAULT '0') ENGINE=InnoDB"); } else { $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_categories ( id SERIAL NOT NULL PRIMARY KEY, category varchar(100) NOT NULL DEFAULT '', probability DOUBLE NOT NULL DEFAULT '0', 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}_references ( id SERIAL NOT NULL PRIMARY KEY, 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)"); $this->dbh->query("CREATE TABLE IF NOT EXISTS ${prefix}_wordfreqs ( word varchar(100) NOT NULL DEFAULT '', category_id INTEGER NOT NULL REFERENCES ${prefix}_categories(id) ON DELETE CASCADE, 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)"); } } $this->dbh->query("COMMIT"); } function hook_prefs_tab($args) { if ($args != "prefPrefs") return; print "
"; $result = $this->dbh->query("SELECT category, probability, word_count, (SELECT COUNT(id) FROM {$this->sql_prefix}_references WHERE category_id = {$this->sql_prefix}_categories.id) as doc_count FROM {$this->sql_prefix}_categories WHERE owner_uid = " . $_SESSION["uid"]); print ""; print ""; while ($line = $this->dbh->fetch_assoc($result)) { print ""; foreach ($line as $k => $v) { if ($k == "probability") $v = sprintf("%.3f", $v); print ""; } print ""; } print "
CategoryProbabilityWord countArticle count
$v
"; print " "; // print "
"; } function hook_article_filter($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; } function clearDatabase() { $prefix = $this->sql_prefix; $this->dbh->query("BEGIN"); $this->dbh->query("DELETE FROM ${prefix}_references WHERE owner_uid = " . $_SESSION["uid"]); $this->dbh->query("DELETE FROM ${prefix}_wordfreqs WHERE owner_uid = " . $_SESSION["uid"]); $this->dbh->query("COMMIT"); $nbs = new NaiveBayesianStorage($_SESSION["uid"]); $nb = new NaiveBayesian($nbs); $nb->updateProbabilities(); } function api_version() { return 2; } } ?>