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编辑当前文件:/home2/sdektunc/public_html/cepali/admin/tool/analytics/classes/output/renderer.php
. /** * Renderer. * * @package tool_analytics * @copyright 2016 David Monllao {@link http://www.davidmonllao.com} * @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later */ namespace tool_analytics\output; defined('MOODLE_INTERNAL') || die(); use plugin_renderer_base; use templatable; use renderable; /** * Renderer class. * * @package tool_analytics * @copyright 2016 David Monllao {@link http://www.davidmonllao.com} * @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later */ class renderer extends plugin_renderer_base { /** * Defer to template. * * @param \tool_analytics\output\models_list $modelslist * @return string HTML */ protected function render_models_list(\tool_analytics\output\models_list $modelslist) { $data = $modelslist->export_for_template($this); return parent::render_from_template('tool_analytics/models_list', $data); } /** * Renders a table. * * @param \table_sql $table * @return string HTML */ public function render_table(\table_sql $table) { ob_start(); $table->out(10, true); $output = ob_get_contents(); ob_end_clean(); return $output; } /** * Web interface evaluate results. * * @param \stdClass[] $results * @param string[] $logs * @return string HTML */ public function render_evaluate_results($results, $logs = array()) { global $OUTPUT; $output = ''; foreach ($results as $timesplittingid => $result) { if (!CLI_SCRIPT) { $output .= $OUTPUT->box_start('generalbox mb-3'); } // Check that the array key is a string, not all results depend on time splitting methods (e.g. general errors). if (!is_numeric($timesplittingid)) { $timesplitting = \core_analytics\manager::get_time_splitting($timesplittingid); $langstrdata = (object)array('name' => $timesplitting->get_name(), 'id' => $timesplittingid); if (CLI_SCRIPT) { $output .= $OUTPUT->heading(get_string('getpredictionsresultscli', 'tool_analytics', $langstrdata), 3); } else { $output .= $OUTPUT->heading(get_string('getpredictionsresults', 'tool_analytics', $langstrdata), 3); } } if ($result->status == 0) { $output .= $OUTPUT->notification(get_string('goodmodel', 'tool_analytics'), \core\output\notification::NOTIFY_SUCCESS); } else if ($result->status === \core_analytics\model::NO_DATASET) { $output .= $OUTPUT->notification(get_string('nodatatoevaluate', 'tool_analytics'), \core\output\notification::NOTIFY_WARNING); } if (isset($result->score)) { // Score. $output .= $OUTPUT->heading(get_string('accuracy', 'tool_analytics') . ': ' . round(floatval($result->score), 4) * 100 . '%', 4); } if (!empty($result->info)) { foreach ($result->info as $message) { $output .= $OUTPUT->notification($message, \core\output\notification::NOTIFY_WARNING); } } if (!CLI_SCRIPT) { $output .= $OUTPUT->box_end(); } } // Info logged during evaluation. if (!empty($logs) && debugging()) { $output .= $OUTPUT->heading(get_string('extrainfo', 'tool_analytics'), 3); foreach ($logs as $log) { $output .= $OUTPUT->notification($log, \core\output\notification::NOTIFY_WARNING); } } if (!CLI_SCRIPT) { $output .= $OUTPUT->single_button(new \moodle_url('/admin/tool/analytics/index.php'), get_string('continue'), 'get'); } return $output; } /** * Web interface training & prediction results. * * @param \stdClass|false $trainresults * @param string[] $trainlogs * @param \stdClass|false $predictresults * @param string[] $predictlogs * @return string HTML */ public function render_get_predictions_results($trainresults = false, $trainlogs = array(), $predictresults = false, $predictlogs = array()) { global $OUTPUT; $output = ''; if ($trainresults || (!empty($trainlogs) && debugging())) { $output .= $OUTPUT->heading(get_string('trainingresults', 'tool_analytics'), 3); } if ($trainresults) { if ($trainresults->status == 0) { $output .= $OUTPUT->notification(get_string('trainingprocessfinished', 'tool_analytics'), \core\output\notification::NOTIFY_SUCCESS); } else if ($trainresults->status === \core_analytics\model::NO_DATASET || $trainresults->status === \core_analytics\model::NOT_ENOUGH_DATA) { $output .= $OUTPUT->notification(get_string('nodatatotrain', 'tool_analytics'), \core\output\notification::NOTIFY_WARNING); } else { $output .= $OUTPUT->notification(get_string('generalerror', 'tool_analytics', $trainresults->status), \core\output\notification::NOTIFY_ERROR); } } if (!empty($trainlogs) && debugging()) { $output .= $OUTPUT->heading(get_string('extrainfo', 'tool_analytics'), 4); foreach ($trainlogs as $log) { $output .= $OUTPUT->notification($log, \core\output\notification::NOTIFY_WARNING); } } if ($predictresults || (!empty($predictlogs) && debugging())) { $output .= $OUTPUT->heading(get_string('predictionresults', 'tool_analytics'), 3, 'main mt-3'); } if ($predictresults) { if ($predictresults->status == 0) { $output .= $OUTPUT->notification(get_string('predictionprocessfinished', 'tool_analytics'), \core\output\notification::NOTIFY_SUCCESS); } else if ($predictresults->status === \core_analytics\model::NO_DATASET || $predictresults->status === \core_analytics\model::NOT_ENOUGH_DATA) { $output .= $OUTPUT->notification(get_string('nodatatopredict', 'tool_analytics'), \core\output\notification::NOTIFY_WARNING); } else { $output .= $OUTPUT->notification(get_string('generalerror', 'tool_analytics', $predictresults->status), \core\output\notification::NOTIFY_ERROR); } } if (!empty($predictlogs) && debugging()) { $output .= $OUTPUT->heading(get_string('extrainfo', 'tool_analytics'), 4); foreach ($predictlogs as $log) { $output .= $OUTPUT->notification($log, \core\output\notification::NOTIFY_WARNING); } } if (!CLI_SCRIPT) { $output .= $OUTPUT->single_button(new \moodle_url('/admin/tool/analytics/index.php'), get_string('continue'), 'get'); } return $output; } /** * Defer to template. * * @param \tool_analytics\output\invalid_analysables $invalidanalysables * @return string HTML */ protected function render_invalid_analysables(\tool_analytics\output\invalid_analysables $invalidanalysables) { $data = $invalidanalysables->export_for_template($this); return parent::render_from_template('tool_analytics/invalid_analysables', $data); } }