<?php
// This file is part of Moodle - http://moodle.org/
//
// Moodle is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// Moodle is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with Moodle. If not, see <http://www.gnu.org/licenses/>.
/**
* Model configuration manager.
*
* @package core_analytics
* @copyright 2019 David Monllao {@link http://www.davidmonllao.com}
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
*/
namespace core_analytics;
defined('MOODLE_INTERNAL') || die();
/**
* Model configuration manager.
*
* @package core_analytics
* @copyright 2019 David Monllao {@link http://www.davidmonllao.com}
* @license http://www.gnu.org/copyleft/gpl.html GNU GPL v3 or later
*/
class model_config {
/**
* @var \core_analytics\model
*/
private $model = null;
/**
* The name of the file where config is held.
*/
const CONFIG_FILE_NAME = 'model-config.json';
/**
* Constructor.
*
* @param \core_analytics\model|null $model
*/
public function __construct(?model $model = null) {
$this->model = $model;
}
/**
* Exports a model to a zip using the provided file name.
*
* @param string $zipfilename
* @param bool $includeweights Include the model weights if available
* @return string
*/
public function export(string $zipfilename, bool $includeweights = true) : string {
if (!$this->model) {
throw new \coding_exception('No model object provided.');
}
if (!$this->model->can_export_configuration()) {
throw new \moodle_exception('errornoexportconfigrequirements', 'analytics');
}
$zip = new \zip_packer();
$zipfiles = [];
// Model config in JSON.
$modeldata = $this->export_model_data();
$exporttmpdir = make_request_directory();
$jsonfilepath = $exporttmpdir . DIRECTORY_SEPARATOR . 'model-config.json';
if (!file_put_contents($jsonfilepath, json_encode($modeldata))) {
< print_error('errornoexportconfig', 'analytics');
> throw new \moodle_exception('errornoexportconfig', 'analytics');
}
$zipfiles[self::CONFIG_FILE_NAME] = $jsonfilepath;
// ML backend.
if ($includeweights && $this->model->is_trained()) {
$processor = $this->model->get_predictions_processor(true);
$outputdir = $this->model->get_output_dir(array('execution'));
$mlbackenddir = $processor->export($this->model->get_unique_id(), $outputdir);
$mlbackendfiles = get_directory_list($mlbackenddir);
foreach ($mlbackendfiles as $mlbackendfile) {
$fullpath = $mlbackenddir . DIRECTORY_SEPARATOR . $mlbackendfile;
// Place the ML backend files inside a mlbackend/ dir.
$zipfiles['mlbackend/' . $mlbackendfile] = $fullpath;
}
}
$zipfilepath = $exporttmpdir . DIRECTORY_SEPARATOR . $zipfilename;
$zip->archive_to_pathname($zipfiles, $zipfilepath);
return $zipfilepath;
}
/**
* Imports the provided model configuration into a new model.
*
* Note that this method assumes that self::check_dependencies has already been called.
*
* @param string $zipfilepath Path to the zip file to import
* @return \core_analytics\model
*/
public function import(string $zipfilepath) : \core_analytics\model {
list($modeldata, $mlbackenddir) = $this->extract_import_contents($zipfilepath);
$target = \core_analytics\manager::get_target($modeldata->target);
$indicators = [];
foreach ($modeldata->indicators as $indicatorclass) {
$indicator = \core_analytics\manager::get_indicator($indicatorclass);
$indicators[$indicator->get_id()] = $indicator;
}
$model = \core_analytics\model::create($target, $indicators, $modeldata->timesplitting, $modeldata->processor);
// Import them disabled.
$model->update(false, false, false, false);
if ($mlbackenddir) {
$modeldir = $model->get_output_dir(['execution']);
if (!$model->get_predictions_processor(true)->import($model->get_unique_id(), $modeldir, $mlbackenddir)) {
throw new \moodle_exception('errorimport', 'analytics');
}
$model->mark_as_trained();
}
return $model;
}
/**
* Check that the provided model configuration can be deployed in this site.
*
* @param \stdClass $modeldata
* @param bool $ignoreversionmismatches
* @return string|null Error string or null if all good.
*/
public function check_dependencies(\stdClass $modeldata, bool $ignoreversionmismatches) : ?string {
$siteversions = \core_component::get_all_versions();
// Possible issues.
$missingcomponents = [];
$versionmismatches = [];
$missingclasses = [];
// We first check that this site has the required dependencies and the required versions.
foreach ($modeldata->dependencies as $component => $importversion) {
if (empty($siteversions[$component])) {
if ($component === 'core') {
$component = 'Moodle';
}
$missingcomponents[$component] = $component . ' (' . $importversion . ')';
continue;
}
if ($siteversions[$component] == $importversion) {
// All good here.
continue;
}
if (!$ignoreversionmismatches) {
if ($component === 'core') {
$component = 'Moodle';
}
$versionmismatches[$component] = $component . ' (' . $importversion . ')';
}
}
// Checking that each of the components is available.
if (!$target = manager::get_target($modeldata->target)) {
$missingclasses[] = $modeldata->target;
}
if (!$timesplitting = manager::get_time_splitting($modeldata->timesplitting)) {
$missingclasses[] = $modeldata->timesplitting;
}
// Indicators.
foreach ($modeldata->indicators as $indicatorclass) {
if (!$indicator = manager::get_indicator($indicatorclass)) {
$missingclasses[] = $indicatorclass;
}
}
// ML backend.
if (!empty($modeldata->processor)) {
if (!$processor = \core_analytics\manager::get_predictions_processor($modeldata->processor, false)) {
$missingclasses[] = $indicatorclass;
}
}
if (!empty($missingcomponents)) {
return get_string('errorimportmissingcomponents', 'analytics', join(', ', $missingcomponents));
}
if (!empty($versionmismatches)) {
return get_string('errorimportversionmismatches', 'analytics', implode(', ', $versionmismatches));
}
if (!empty($missingclasses)) {
$a = (object)[
'missingclasses' => implode(', ', $missingclasses),
];
return get_string('errorimportmissingclasses', 'analytics', $a);
}
// No issues found.
return null;
}
/**
* Returns the component the class belongs to.
*
* Note that this method does not work for global space classes.
*
* @param string $fullclassname Qualified name including the namespace.
* @return string|null Frankenstyle component
*/
public static function get_class_component(string $fullclassname) : ?string {
// Strip out leading backslash.
$fullclassname = ltrim($fullclassname, '\\');
$nextbackslash = strpos($fullclassname, '\\');
if ($nextbackslash === false) {
// Global space.
return 'core';
}
$component = substr($fullclassname, 0, $nextbackslash);
// All core subsystems use core's version.php.
if (strpos($component, 'core_') === 0) {
$component = 'core';
}
return $component;
}
/**
* Extracts the import zip contents.
*
* @param string $zipfilepath Zip file path
* @return array [0] => \stdClass, [1] => string
*/
public function extract_import_contents(string $zipfilepath) : array {
$importtempdir = make_request_directory();
$zip = new \zip_packer();
$filelist = $zip->extract_to_pathname($zipfilepath, $importtempdir);
if (empty($filelist[self::CONFIG_FILE_NAME])) {
// Missing required file.
throw new \moodle_exception('errorimport', 'analytics');
}
$jsonmodeldata = file_get_contents($importtempdir . DIRECTORY_SEPARATOR . self::CONFIG_FILE_NAME);
if (!$modeldata = json_decode($jsonmodeldata)) {
throw new \moodle_exception('errorimport', 'analytics');
}
if (empty($modeldata->target) || empty($modeldata->timesplitting) || empty($modeldata->indicators)) {
throw new \moodle_exception('errorimport', 'analytics');
}
$mlbackenddir = $importtempdir . DIRECTORY_SEPARATOR . 'mlbackend';
if (!is_dir($mlbackenddir)) {
$mlbackenddir = false;
}
return [$modeldata, $mlbackenddir];
}
/**
* Exports the configuration of the model.
* @return \stdClass
*/
protected function export_model_data() : \stdClass {
$versions = \core_component::get_all_versions();
$data = new \stdClass();
// Target.
$data->target = $this->model->get_target()->get_id();
$requiredclasses[] = $data->target;
// Time splitting method.
$data->timesplitting = $this->model->get_time_splitting()->get_id();
$requiredclasses[] = $data->timesplitting;
// Model indicators.
$data->indicators = [];
foreach ($this->model->get_indicators() as $indicator) {
$indicatorid = $indicator->get_id();
$data->indicators[] = $indicatorid;
$requiredclasses[] = $indicatorid;
}
// Return the predictions processor this model is using, even if no predictions processor
// was explicitly selected.
$predictionsprocessor = $this->model->get_predictions_processor();
$data->processor = '\\' . get_class($predictionsprocessor);
$requiredclasses[] = $data->processor;
// Add information for versioning.
$data->dependencies = [];
foreach ($requiredclasses as $fullclassname) {
$component = $this->get_class_component($fullclassname);
$data->dependencies[$component] = $versions[$component];
}
return $data;
}
}