[DataToolSet Php]

DataClassifier.php

<?php

class DatasTool {

    public $sources;
    public $processed = array();

    // Give me a SQL ressource and bind it with the "label" to the DatasTool
    public function parseSql($ressource, $label) {
        $this->processed[$label]= array();
        foreach ($ressource  as $key => $value) {
            $this->processed[$label][] = $value;
        }
    }


    // Give me a sets of datas and an item to check
    // I will return the number of occurance of this item
    public function itemDetection($sets,$items, $precisedIndex = false) {

        $occurences = array();
        $multipleitems = false;

        // Check if the items to count is array, so multiple
        if (is_array($items)) {
            $multipleitems = true;

            // Then init entry in the occurences counter
            foreach ($items as $key => $unique) {
                $multipleitems[$unique] = 0;
            }
        }

        /* Check if the items checker needs to only be apply
            to a certains items in the sets

            IE->
            SQL result where -> Lined ["columnsXORY"];

        */
        if ($precisedIndex) {

            // Start to loop through each entry of the sets
            foreach ($sets as $key => $entry) {

                // If multiple items needs to be count
                if ($multipleitems == true) {

                    // check each items as single
                    foreach ($items as $key => $itemToCheck) {

                        //  If the entry[columns] is the same as the items["current_items"]
                        if ($entry[$precisedIndex] == $itemToCheck) {

                            // Then take occurences["currentItemToCheck"]++
                            $occurences[$itemToCheck]++;
                        }
                    }
                } else {
                    $occurences[$items] = 0;
                    if ($entry[$precisedIndex] == $items) {
                        $occurences[$items]++;
                    }
                }
            }
        }
    }
}