2018-09-25 16:28:26 +00:00
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import { schedule } from '@ember/runloop';
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import { copy } from 'ember-copy';
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import { resolve, Promise } from 'rsvp';
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import { dasherize } from '@ember/string';
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import { assert } from '@ember/debug';
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import { set, get, computed } from '@ember/object';
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2018-04-03 14:16:57 +00:00
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import DS from 'ember-data';
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import clamp from 'vault/utils/clamp';
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export function normalizeModelName(modelName) {
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2018-09-25 16:28:26 +00:00
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return dasherize(modelName);
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2018-04-03 14:16:57 +00:00
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}
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export function keyForCache(query) {
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/*eslint no-unused-vars: ["error", { "ignoreRestSiblings": true }]*/
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// we want to ignore size, page, responsePath, and pageFilter in the cacheKey
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const { size, page, responsePath, pageFilter, ...queryForCache } = query;
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2018-09-25 16:28:26 +00:00
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const cacheKeyObject = Object.keys(queryForCache)
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.sort()
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.reduce((result, key) => {
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result[key] = queryForCache[key];
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return result;
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}, {});
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2018-04-03 14:16:57 +00:00
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return JSON.stringify(cacheKeyObject);
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}
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export default DS.Store.extend({
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// this is a map of map that stores the caches
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lazyCaches: computed(function() {
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return new Map();
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}),
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setLazyCacheForModel(modelName, key, value) {
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const cacheKey = keyForCache(key);
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const cache = this.lazyCacheForModel(modelName) || new Map();
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cache.set(cacheKey, value);
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const lazyCaches = this.get('lazyCaches');
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const modelKey = normalizeModelName(modelName);
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lazyCaches.set(modelKey, cache);
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},
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getLazyCacheForModel(modelName, key) {
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const cacheKey = keyForCache(key);
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const modelCache = this.lazyCacheForModel(modelName);
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if (modelCache) {
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return modelCache.get(cacheKey);
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}
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},
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lazyCacheForModel(modelName) {
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return this.get('lazyCaches').get(normalizeModelName(modelName));
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},
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// This is the public interface for the store extension - to be used just
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// like `Store.query`. Special handling of the response is controlled by
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// `query.pageFilter`, `query.page`, and `query.size`.
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// Required attributes of the `query` argument are:
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// responsePath: a string indicating the location on the response where
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// the array of items will be found
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// page: the page number to return
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// size: the size of the page
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// pageFilter: a string that will be used to do a fuzzy match against the
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// results, this is done pre-pagination
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lazyPaginatedQuery(modelType, query /*, options*/) {
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const adapter = this.adapterFor(modelType);
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const modelName = normalizeModelName(modelType);
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const dataCache = this.getDataset(modelName, query);
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const responsePath = query.responsePath;
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assert('responsePath is required', responsePath);
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assert('page is required', typeof query.page === 'number');
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assert('size is required', query.size);
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if (dataCache) {
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2018-09-25 16:28:26 +00:00
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return resolve(this.fetchPage(modelName, query));
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2018-04-03 14:16:57 +00:00
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}
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return adapter
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.query(this, { modelName }, query)
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.then(response => {
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const serializer = this.serializerFor(modelName);
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const datasetHelper = serializer.extractLazyPaginatedData;
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const dataset = datasetHelper
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? datasetHelper.call(serializer, response)
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: get(response, responsePath);
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set(response, responsePath, null);
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this.storeDataset(modelName, query, response, dataset);
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return this.fetchPage(modelName, query);
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})
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.catch(function(e) {
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throw e;
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});
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},
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filterData(filter, dataset) {
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let newData = dataset || [];
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if (filter) {
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newData = dataset.filter(function(item) {
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const id = item.id || item;
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return id.toLowerCase().includes(filter.toLowerCase());
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});
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}
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return newData;
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},
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// reconstructs the original form of the response from the server
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// with an additional `meta` block
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//
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// the meta block includes:
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// currentPage, lastPage, nextPage, prevPage, total, filteredTotal
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constructResponse(modelName, query) {
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const { pageFilter, responsePath, size, page } = query;
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let { response, dataset } = this.getDataset(modelName, query);
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2018-09-25 16:28:26 +00:00
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response = copy(response, true);
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2018-04-03 14:16:57 +00:00
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const data = this.filterData(pageFilter, dataset);
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const lastPage = Math.ceil(data.length / size);
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const currentPage = clamp(page, 1, lastPage);
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const end = currentPage * size;
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const start = end - size;
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const slicedDataSet = data.slice(start, end);
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set(response, responsePath || '', slicedDataSet);
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response.meta = {
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currentPage,
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lastPage,
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nextPage: clamp(currentPage + 1, 1, lastPage),
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prevPage: clamp(currentPage - 1, 1, lastPage),
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total: get(dataset, 'length') || 0,
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filteredTotal: get(data, 'length') || 0,
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};
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return response;
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},
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// pushes records into the store and returns the result
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fetchPage(modelName, query) {
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const response = this.constructResponse(modelName, query);
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2018-05-24 03:10:21 +00:00
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this.peekAll(modelName).forEach(record => {
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record.unloadRecord();
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});
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2018-09-25 16:28:26 +00:00
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return new Promise(resolve => {
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schedule('destroy', () => {
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2018-05-24 03:10:21 +00:00
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this.push(
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this.serializerFor(modelName).normalizeResponse(
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this,
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this.modelFor(modelName),
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response,
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null,
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'query'
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)
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);
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let model = this.peekAll(modelName).toArray();
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model.set('meta', response.meta);
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resolve(model);
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});
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});
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2018-04-03 14:16:57 +00:00
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},
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// get cached data
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getDataset(modelName, query) {
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return this.getLazyCacheForModel(modelName, query);
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},
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// store data cache as { response, dataset}
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// also populated `lazyCaches` attribute
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storeDataset(modelName, query, response, array) {
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const dataSet = {
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response,
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dataset: array,
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};
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this.setLazyCacheForModel(modelName, query, dataSet);
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},
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clearDataset(modelName) {
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let cacheList = this.get('lazyCaches');
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if (!cacheList.size) return;
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if (modelName && cacheList.has(modelName)) {
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cacheList.delete(modelName);
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return;
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}
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cacheList.clear();
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this.set('lazyCaches', cacheList);
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},
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clearAllDatasets() {
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this.clearDataset();
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},
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});
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