meteos-ui/meteos_ui/static/dashboard/machine_learning/datasets/datasets.module.js

157 lines
4.3 KiB
JavaScript

/**
* Licensed under the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License. You may obtain
* a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*/
(function() {
'use strict';
/**
* @ngdoc overview
* @name horizon.dashboard.machine_learning.datasets
* @ngModule
* @description
* Provides all the services and widgets require to display the dataset
* panel
*/
angular
.module('horizon.dashboard.machine_learning.datasets', [
'ngRoute',
'horizon.dashboard.machine_learning.datasets.actions'
])
.constant('horizon.dashboard.machine_learning.datasets.events', events())
.constant('horizon.dashboard.machine_learning.datasets.resourceType', 'OS::Meteos::Dataset')
.run(run)
.config(config);
/**
* @ngdoc constant
* @name horizon.dashboard.machine_learning.datasets.events
* @description A list of events used by Dataset
*/
function events() {
return {
CREATE_SUCCESS: 'horizon.dashboard.machine_learning.datasets.CREATE_SUCCESS',
DELETE_SUCCESS: 'horizon.dashboard.machine_learning.datasets.DELETE_SUCCESS'
};
}
run.$inject = [
'horizon.framework.conf.resource-type-registry.service',
'horizon.app.core.openstack-service-api.meteos',
'horizon.dashboard.machine_learning.datasets.basePath',
'horizon.dashboard.machine_learning.datasets.resourceType'
];
function run(registry, meteos, basePath, resourceType) {
registry.getResourceType(resourceType)
.setNames(gettext('Machine Learning'), gettext('Datasets'))
// for detail summary view on table row.
.setSummaryTemplateUrl(basePath + 'details/drawer.html')
// for table row items and detail summary view.
.setProperty('name', {
label: gettext('Name')
})
.setProperty('id', {
label: gettext('ID')
})
.setProperty('status', {
label: gettext('Status')
})
.setProperty('source_dataset_url', {
label: gettext('Source Dataset URL')
})
.setListFunction(listFunction)
.tableColumns
.append({
id: 'name',
priority: 1,
sortDefault: true,
filters: ['noName'],
urlFunction: urlFunction
})
.append({
id: 'id',
priority: 3
})
.append({
id: 'status',
priority: 2
})
.append({
id: 'source_dataset_url',
priority: 2
})
// for magic-search
registry.getResourceType(resourceType).filterFacets
.append({
'label': gettext('Name'),
'name': 'name',
'singleton': true
})
.append({
'label': gettext('ID'),
'name': 'id',
'singleton': true
})
.append({
'label': gettext('Status'),
'name': 'status',
'singleton': true
})
.append({
'label': gettext('Source Dataset URL'),
'name': 'source_dataset_url',
'singleton': true
});
function listFunction(params) {
return meteos.getDatasets(params).then(modifyResponse);
function modifyResponse(response) {
return {data: {items: response.data.items.map(addTrackBy)}};
function addTrackBy(item) {
item.trackBy = item.id;
return item;
}
}
}
function urlFunction(item) {
return 'project/ngdetails/OS::Meteos::Dataset/' + item.id;
}
}
config.$inject = [
'$provide',
'$windowProvider',
'$routeProvider'
];
/**
* @name config
* @param {Object} $provide
* @param {Object} $windowProvider
* @param {Object} $routeProvider
* @description Routes used by this module.
* @returns {undefined} Returns nothing
*/
function config($provide, $windowProvider, $routeProvider) {
var path = $windowProvider.$get().STATIC_URL + 'dashboard/machine_learning/datasets/';
$provide.constant('horizon.dashboard.machine_learning.datasets.basePath', path);
$routeProvider.when('/project/machine_learning/datasets', {
templateUrl: path + 'panel.html'
});
}
})();