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-rw-r--r--plugins/af_sort_bayes/init.php103
1 files changed, 97 insertions, 6 deletions
diff --git a/plugins/af_sort_bayes/init.php b/plugins/af_sort_bayes/init.php
index 213c6aede..23f38ec25 100644
--- 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;