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152 lines
4.3 KiB
152 lines
4.3 KiB
<?php
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// This file is part of Moodle - http://moodle.org/
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//
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// Moodle is free software: you can redistribute it and/or modify
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// it under the terms of the GNU General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// Moodle is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU General Public License
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// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
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/**
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* Time splitting method that generates predictions regularly.
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*
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* @package core_analytics
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* @copyright 2019 David Monllao {@link http://www.davidmonllao.com}
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* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
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*/
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namespace core_analytics\local\time_splitting;
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defined('MOODLE_INTERNAL') || die();
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/**
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* Time splitting method that generates predictions periodically.
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*
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* @package core_analytics
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* @copyright 2019 David Monllao {@link http://www.davidmonllao.com}
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* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
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*/
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abstract class periodic extends base {
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/**
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* The periodicity of the predictions / training data generation.
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*
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* @return \DateInterval
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*/
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abstract protected function periodicity();
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/**
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* Returns whether the analysable can be processed by this time splitting method or not.
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*
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* @param \core_analytics\analysable $analysable
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* @return bool
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*/
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public function is_valid_analysable(\core_analytics\analysable $analysable) {
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if (!$analysable->get_start()) {
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return false;
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}
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return true;
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}
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/**
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* define_ranges
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*
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* @return array
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*/
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protected function define_ranges() {
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$periodicity = $this->periodicity();
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if ($this->analysable->get_end()) {
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$end = (new \DateTimeImmutable())->setTimestamp($this->analysable->get_end());
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}
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$next = (new \DateTimeImmutable())->setTimestamp($this->get_first_start());
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$now = new \DateTimeImmutable('now', \core_date::get_server_timezone_object());
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$ranges = [];
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while ($next < $now &&
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(empty($end) || $next < $end)) {
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$range = $this->get_next_range($next);
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if ($range) {
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$ranges[] = $range;
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}
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$next = $next->add($periodicity);
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}
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$nextrange = $this->get_next_range($next);
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if ($this->ready_to_predict($nextrange) && (empty($end) || $next < $end)) {
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// Add the next one if we have not reached the analysable end yet.
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// It will be used to get predictions.
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$ranges[] = $nextrange;
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}
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return $ranges;
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}
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/**
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* Overwritten as all generated rows are comparable.
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*
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* @return bool
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*/
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public function include_range_info_in_training_data() {
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return false;
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}
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/**
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* Overwritting as the last range may be for prediction.
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*
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* @return array
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*/
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public function get_training_ranges() {
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// Cloning the array.
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$trainingranges = $this->ranges;
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foreach ($trainingranges as $rangeindex => $range) {
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if (!$this->ready_to_train($range)) {
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unset($trainingranges[$rangeindex]);
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}
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}
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return $trainingranges;
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}
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/**
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* The next range is based on the past period.
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*
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* @param \DateTimeImmutable $next
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* @return array
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*/
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protected function get_next_range(\DateTimeImmutable $next) {
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$end = $next->getTimestamp();
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$start = $next->sub($this->periodicity())->getTimestamp();
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if ($start < $this->analysable->get_start()) {
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// We skip the first range generated as its start is prior to the analysable start.
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return false;
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}
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return [
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'start' => $start,
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'end' => $end,
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'time' => $end
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];
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}
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/**
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* Get the start of the first time range.
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*
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* @return int A timestamp.
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*/
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protected function get_first_start() {
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return $this->analysable->get_start();
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}
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}
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