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93 lines
2.8 KiB
93 lines
2.8 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 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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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 upcoming_periodic extends periodic {
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/**
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* The next range indicator calculations should be based on upcoming dates.
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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 $next) {
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$start = $next->getTimestamp();
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$end = $next->add($this->periodicity())->getTimestamp();
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return [
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'start' => $start,
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'end' => $end,
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'time' => $start
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];
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}
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/**
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* Whether to cache or not the indicator calculations.
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* @return bool
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*/
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public function cache_indicator_calculations(): bool {
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return false;
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}
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/**
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* Overriden as these time-splitting methods are based on future dates.
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*
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* @return bool
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*/
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public function valid_for_evaluation(): bool {
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return false;
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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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* Overwriten to start generating predictions about upcoming stuff from time().
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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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global $DB;
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$cache = \cache::make('core', 'modelfirstanalyses');
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$key = $this->modelid . '_' . $this->analysable->get_id();
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$firstanalysis = $cache->get($key);
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if (!empty($firstanalysis)) {
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return $firstanalysis;
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}
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// This analysable has not yet been analysed, the start is therefore now (-1 so ready_to_predict can be executed).
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return time() - 1;
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}
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}
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