2019-11-08 05:38:28 +08:00
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import discourseComputed from "discourse-common/utils/decorators";
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2019-11-02 01:06:50 +08:00
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import { makeArray } from "discourse-common/lib/helpers";
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2019-11-01 01:37:24 +08:00
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import { isEmpty } from "@ember/utils";
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2019-10-30 03:23:50 +08:00
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import EmberObject from "@ember/object";
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2018-07-20 02:33:11 +08:00
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import { escapeExpression } from "discourse/lib/utilities";
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2018-05-18 04:44:33 +08:00
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import { ajax } from "discourse/lib/ajax";
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2015-06-23 01:46:51 +08:00
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import round from "discourse/lib/round";
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2019-09-12 21:17:34 +08:00
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import {
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fillMissingDates,
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formatUsername,
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toNumber
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} from "discourse/lib/utilities";
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2018-07-20 02:33:11 +08:00
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import { number, durationTiny } from "discourse/lib/formatter";
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2018-08-01 05:35:13 +08:00
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import { renderAvatar } from "discourse/helpers/user-avatar";
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// Change this line each time report format change
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// and you want to ensure cache is reset
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2019-04-26 18:17:10 +08:00
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export const SCHEMA_VERSION = 4;
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2015-06-23 01:46:51 +08:00
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2019-11-09 03:13:35 +08:00
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const Report = EmberObject.extend({
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2018-05-03 21:41:41 +08:00
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average: false,
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2018-05-16 02:12:03 +08:00
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percent: false,
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2018-05-18 04:44:33 +08:00
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higher_is_better: true,
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2020-03-03 03:30:51 +08:00
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description_link: null,
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description: null,
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2018-05-03 21:41:41 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("type", "start_date", "end_date")
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2018-05-14 09:33:36 +08:00
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reportUrl(type, start_date, end_date) {
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2018-07-20 02:33:11 +08:00
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start_date = moment
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.utc(start_date)
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2018-06-15 23:03:24 +08:00
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.locale("en")
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.format("YYYY-MM-DD");
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2018-07-20 02:33:11 +08:00
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end_date = moment
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.utc(end_date)
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2018-06-15 23:03:24 +08:00
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.locale("en")
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.format("YYYY-MM-DD");
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2018-07-20 02:33:11 +08:00
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2018-06-15 23:03:24 +08:00
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return Discourse.getURL(
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`/admin/reports/${type}?start_date=${start_date}&end_date=${end_date}`
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);
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2018-05-14 09:33:36 +08:00
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},
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2013-03-31 02:07:25 +08:00
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2015-06-23 01:46:51 +08:00
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valueAt(numDaysAgo) {
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2013-03-31 02:07:25 +08:00
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if (this.data) {
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2018-06-15 23:03:24 +08:00
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const wantedDate = moment()
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.subtract(numDaysAgo, "days")
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.locale("en")
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.format("YYYY-MM-DD");
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2015-08-05 00:23:56 +08:00
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const item = this.data.find(d => d.x === wantedDate);
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2013-03-31 02:07:25 +08:00
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if (item) {
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return item.y;
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}
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}
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return 0;
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},
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2015-08-05 00:23:56 +08:00
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valueFor(startDaysAgo, endDaysAgo) {
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2013-03-31 02:07:25 +08:00
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if (this.data) {
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2018-06-15 23:03:24 +08:00
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const earliestDate = moment()
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.subtract(endDaysAgo, "days")
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.startOf("day");
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const latestDate = moment()
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.subtract(startDaysAgo, "days")
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.startOf("day");
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let d,
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sum = 0,
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count = 0;
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2018-11-20 21:46:58 +08:00
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this.data.forEach(datum => {
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2013-06-11 04:48:50 +08:00
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d = moment(datum.x);
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2015-08-05 00:23:56 +08:00
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if (d >= earliestDate && d <= latestDate) {
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2013-03-31 02:07:25 +08:00
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sum += datum.y;
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2015-08-05 00:23:56 +08:00
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count++;
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2013-03-31 02:07:25 +08:00
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}
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});
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2019-05-27 16:15:39 +08:00
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if (this.method === "average" && count > 0) {
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2018-06-15 23:03:24 +08:00
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sum /= count;
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}
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2015-06-23 01:46:51 +08:00
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return round(sum, -2);
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2013-03-31 02:07:25 +08:00
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}
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "average")
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2019-04-26 18:16:21 +08:00
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todayCount() {
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2018-06-15 23:03:24 +08:00
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return this.valueAt(0);
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2019-04-26 18:16:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "average")
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2019-04-26 18:16:21 +08:00
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yesterdayCount() {
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2018-06-15 23:03:24 +08:00
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return this.valueAt(1);
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2019-04-26 18:16:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "average")
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2019-04-26 18:16:21 +08:00
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sevenDaysAgoCount() {
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2018-06-15 23:03:24 +08:00
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return this.valueAt(7);
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2019-04-26 18:16:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "average")
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2019-04-26 18:16:21 +08:00
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thirtyDaysAgoCount() {
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2018-06-15 23:03:24 +08:00
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return this.valueAt(30);
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2019-04-26 18:16:21 +08:00
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},
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2018-05-18 04:44:33 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "average")
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2019-04-26 18:16:21 +08:00
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lastSevenDaysCount() {
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2018-05-03 21:41:41 +08:00
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return this.averageCount(7, this.valueFor(1, 7));
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2019-04-26 18:16:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "average")
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2019-04-26 18:16:21 +08:00
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lastThirtyDaysCount() {
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2018-05-03 21:41:41 +08:00
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return this.averageCount(30, this.valueFor(1, 30));
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2019-04-26 18:16:21 +08:00
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},
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2018-05-03 21:41:41 +08:00
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averageCount(count, value) {
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2019-05-27 16:15:39 +08:00
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return this.average ? value / count : value;
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2018-05-03 21:41:41 +08:00
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},
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2013-04-03 02:40:00 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("yesterdayCount", "higher_is_better")
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2018-05-28 16:55:42 +08:00
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yesterdayTrend(yesterdayCount, higherIsBetter) {
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return this._computeTrend(this.valueAt(2), yesterdayCount, higherIsBetter);
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2018-03-16 05:10:45 +08:00
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},
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2013-03-31 02:07:25 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("lastSevenDaysCount", "higher_is_better")
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2018-05-28 16:55:42 +08:00
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sevenDaysTrend(lastSevenDaysCount, higherIsBetter) {
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2018-06-15 23:03:24 +08:00
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return this._computeTrend(
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this.valueFor(8, 14),
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lastSevenDaysCount,
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higherIsBetter
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);
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2018-03-16 05:10:45 +08:00
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},
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2013-03-31 02:07:25 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data")
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2018-06-15 23:03:24 +08:00
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currentTotal(data) {
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2018-11-19 20:04:57 +08:00
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return data.reduce((cur, pair) => cur + pair.y, 0);
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2018-05-11 11:30:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("data", "currentTotal")
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2018-05-11 11:30:21 +08:00
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currentAverage(data, total) {
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2019-11-01 01:55:01 +08:00
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return makeArray(data).length === 0
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2018-06-15 23:03:24 +08:00
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? 0
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: parseFloat((total / parseFloat(data.length)).toFixed(1));
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2018-05-16 02:12:03 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("trend", "higher_is_better")
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2018-05-25 18:09:30 +08:00
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trendIcon(trend, higherIsBetter) {
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return this._iconForTrend(trend, higherIsBetter);
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("sevenDaysTrend", "higher_is_better")
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2018-05-25 18:09:30 +08:00
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sevenDaysTrendIcon(sevenDaysTrend, higherIsBetter) {
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return this._iconForTrend(sevenDaysTrend, higherIsBetter);
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("thirtyDaysTrend", "higher_is_better")
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2018-05-25 18:09:30 +08:00
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thirtyDaysTrendIcon(thirtyDaysTrend, higherIsBetter) {
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return this._iconForTrend(thirtyDaysTrend, higherIsBetter);
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("yesterdayTrend", "higher_is_better")
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2018-05-25 18:09:30 +08:00
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yesterdayTrendIcon(yesterdayTrend, higherIsBetter) {
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return this._iconForTrend(yesterdayTrend, higherIsBetter);
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2018-05-11 11:30:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed(
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"prev_period",
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"currentTotal",
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"currentAverage",
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"higher_is_better"
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)
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2018-05-28 16:55:42 +08:00
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trend(prev, currentTotal, currentAverage, higherIsBetter) {
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2019-05-27 16:15:39 +08:00
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const total = this.average ? currentAverage : currentTotal;
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2018-05-28 16:55:42 +08:00
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return this._computeTrend(prev, total, higherIsBetter);
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2018-05-11 11:30:21 +08:00
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("prev30Days", "lastThirtyDaysCount", "higher_is_better")
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2018-05-28 16:55:42 +08:00
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thirtyDaysTrend(prev30Days, lastThirtyDaysCount, higherIsBetter) {
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return this._computeTrend(prev30Days, lastThirtyDaysCount, higherIsBetter);
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2018-03-16 05:10:45 +08:00
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},
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2013-04-17 06:37:35 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("type")
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2018-03-16 05:10:45 +08:00
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method(type) {
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if (type === "time_to_first_response") {
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2015-08-05 00:23:56 +08:00
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return "average";
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} else {
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return "sum";
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}
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2018-03-16 05:10:45 +08:00
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},
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2013-04-27 05:13:20 +08:00
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2015-06-23 01:46:51 +08:00
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percentChangeString(val1, val2) {
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2018-05-18 04:44:33 +08:00
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const change = this._computeChange(val1, val2);
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if (isNaN(change) || !isFinite(change)) {
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2013-04-27 05:13:20 +08:00
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return null;
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2018-05-18 04:44:33 +08:00
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} else if (change > 0) {
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return "+" + change.toFixed(0) + "%";
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2013-04-27 05:13:20 +08:00
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} else {
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2018-05-18 04:44:33 +08:00
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return change.toFixed(0) + "%";
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2013-04-27 05:13:20 +08:00
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}
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("prev_period", "currentTotal", "currentAverage")
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2018-05-11 11:30:21 +08:00
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trendTitle(prev, currentTotal, currentAverage) {
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2019-05-27 16:15:39 +08:00
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let current = this.average ? currentAverage : currentTotal;
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2018-05-18 04:44:33 +08:00
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let percent = this.percentChangeString(prev, current);
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2018-05-11 11:30:21 +08:00
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2019-05-27 16:15:39 +08:00
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if (this.average) {
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2018-05-14 09:12:52 +08:00
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prev = prev ? prev.toFixed(1) : "0";
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2019-05-27 16:15:39 +08:00
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if (this.percent) {
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2018-05-18 04:44:33 +08:00
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current += "%";
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prev += "%";
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2018-05-15 08:17:17 +08:00
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}
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2018-05-18 04:44:33 +08:00
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} else {
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prev = number(prev);
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current = number(current);
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2018-05-11 11:30:21 +08:00
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}
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2018-06-15 23:03:24 +08:00
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return I18n.t("admin.dashboard.reports.trend_title", {
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percent,
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prev,
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current
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});
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2018-05-11 11:30:21 +08:00
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},
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2018-05-18 04:44:33 +08:00
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changeTitle(valAtT1, valAtT2, prevPeriodString) {
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const change = this.percentChangeString(valAtT1, valAtT2);
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let title = "";
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2018-06-15 23:03:24 +08:00
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if (change) {
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title += `${change} change. `;
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}
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2018-05-29 02:35:22 +08:00
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title += `Was ${number(valAtT1)} ${prevPeriodString}.`;
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2013-04-27 05:13:20 +08:00
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return title;
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},
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2019-11-08 05:38:28 +08:00
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@discourseComputed("yesterdayCount")
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2018-05-03 21:41:41 +08:00
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yesterdayCountTitle(yesterdayCount) {
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2018-05-29 02:35:22 +08:00
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return this.changeTitle(this.valueAt(2), yesterdayCount, "two days ago");
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2018-03-16 05:10:45 +08:00
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},
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2013-04-27 05:13:20 +08:00
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2019-11-08 05:38:28 +08:00
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@discourseComputed("lastSevenDaysCount")
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2018-05-18 04:44:33 +08:00
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sevenDaysCountTitle(lastSevenDaysCount) {
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2018-06-15 23:03:24 +08:00
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return this.changeTitle(
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this.valueFor(8, 14),
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lastSevenDaysCount,
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|
"two weeks ago"
|
|
|
|
|
);
|
2018-03-16 05:10:45 +08:00
|
|
|
|
},
|
2013-04-27 05:13:20 +08:00
|
|
|
|
|
2019-11-08 05:38:28 +08:00
|
|
|
|
@discourseComputed("prev30Days", "lastThirtyDaysCount")
|
2018-05-18 04:44:33 +08:00
|
|
|
|
thirtyDaysCountTitle(prev30Days, lastThirtyDaysCount) {
|
2018-06-15 23:03:24 +08:00
|
|
|
|
return this.changeTitle(
|
|
|
|
|
prev30Days,
|
|
|
|
|
lastThirtyDaysCount,
|
|
|
|
|
"in the previous 30 day period"
|
|
|
|
|
);
|
2018-03-16 05:10:45 +08:00
|
|
|
|
},
|
|
|
|
|
|
2019-11-08 05:38:28 +08:00
|
|
|
|
@discourseComputed("data")
|
2018-03-16 05:10:45 +08:00
|
|
|
|
sortedData(data) {
|
2019-05-27 16:15:39 +08:00
|
|
|
|
return this.xAxisIsDate ? data.toArray().reverse() : data.toArray();
|
2018-03-16 05:10:45 +08:00
|
|
|
|
},
|
2014-06-07 05:08:35 +08:00
|
|
|
|
|
2019-11-08 05:38:28 +08:00
|
|
|
|
@discourseComputed("data")
|
2018-03-28 01:53:47 +08:00
|
|
|
|
xAxisIsDate() {
|
2018-03-16 05:10:45 +08:00
|
|
|
|
if (!this.data[0]) return false;
|
2018-03-28 02:10:39 +08:00
|
|
|
|
return this.data && this.data[0].x.match(/\d{4}-\d{1,2}-\d{1,2}/);
|
2018-05-18 04:44:33 +08:00
|
|
|
|
},
|
2013-04-27 05:13:20 +08:00
|
|
|
|
|
2019-11-08 05:38:28 +08:00
|
|
|
|
@discourseComputed("labels")
|
2018-08-01 05:35:13 +08:00
|
|
|
|
computedLabels(labels) {
|
|
|
|
|
return labels.map(label => {
|
2018-08-02 06:40:59 +08:00
|
|
|
|
const type = label.type || "string";
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
|
|
|
|
let mainProperty;
|
|
|
|
|
if (label.property) mainProperty = label.property;
|
|
|
|
|
else if (type === "user") mainProperty = label.properties["username"];
|
|
|
|
|
else if (type === "topic") mainProperty = label.properties["title"];
|
|
|
|
|
else if (type === "post")
|
|
|
|
|
mainProperty = label.properties["truncated_raw"];
|
|
|
|
|
else mainProperty = label.properties[0];
|
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
title: label.title,
|
|
|
|
|
sortProperty: label.sort_property || mainProperty,
|
|
|
|
|
mainProperty,
|
2018-08-02 06:40:59 +08:00
|
|
|
|
type,
|
|
|
|
|
compute: (row, opts = {}) => {
|
FEATURE: Exposing a way to add a generic report filter (#6816)
* FEATURE: Exposing a way to add a generic report filter
## Why do we need this change?
Part of the work discussed [here](https://meta.discourse.org/t/gain-understanding-of-file-uploads-usage/104994), and implemented a first spike [here](https://github.com/discourse/discourse/pull/6809), I am trying to expose a single generic filter selector per report.
## How does this work?
We basically expose a simple, single generic filter that is computed and displayed based on backend values passed into the report.
This would be a simple contract between the frontend and the backend.
**Backend changes:** we simply need to return a list of dropdown / select options, and enable the report's newly introduced `custom_filtering` property.
For example, for our [Top Uploads](https://github.com/discourse/discourse/pull/6809/files#diff-3f97cbb8726f3310e0b0c386dbe89e22R1423) report, it can look like this on the backend:
```ruby
report.custom_filtering = true
report.custom_filter_options = [{ id: "any", name: "Any" }, { id: "jpg", name: "JPEG" } ]
```
In our javascript report HTTP call, it will look like:
```js
{
"custom_filtering": true,
"custom_filter_options": [
{
"id": "any",
"name": "Any"
},
{
"id": "jpg",
"name": "JPG"
}
]
}
```
**Frontend changes:** We introduced a generic `filter` param and a `combo-box` which hooks up into the existing framework for fetching a report.
This works alright, with the limitation of being a single custom filter per report. If we wanted to add, for an instance a `filesize filter`, this will not work for us. _I went through with this approach because it is hard to predict and build abstractions for requirements or problems we don't have yet, or might not have._
## How does it look like?
![a1ktg1odde](https://user-images.githubusercontent.com/45508821/50485875-f17edb80-09ee-11e9-92dd-1454ab041fbb.gif)
## More on the bigger picture
The major concern here I have is the solution I introduced might serve the `think small` version of the reporting work, but I don't think it serves the `think big`, I will try to shed some light into why.
Within the current design, It is hard to maintain QueryParams for dynamically generated params (based on the idea of introducing more than one custom filter per report).
To allow ourselves to have more than one generic filter, we will need to:
a. Use the Route's model to retrieve the report's payload (we are now dependent on changes of the QueryParams via computed properties)
b. After retrieving the payload, we can use the `setupController` to define our dynamic QueryParams based on the custom filters definitions we received from the backend
c. Load a custom filter specific Ember component based on the definitions we received from the backend
2019-03-15 20:15:38 +08:00
|
|
|
|
let value = null;
|
|
|
|
|
|
|
|
|
|
if (opts.useSortProperty) {
|
|
|
|
|
value = row[label.sort_property || mainProperty];
|
|
|
|
|
} else {
|
|
|
|
|
value = row[mainProperty];
|
|
|
|
|
}
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
|
|
|
|
if (type === "user") return this._userLabel(label.properties, row);
|
|
|
|
|
if (type === "post") return this._postLabel(label.properties, row);
|
|
|
|
|
if (type === "topic") return this._topicLabel(label.properties, row);
|
2018-08-02 06:40:59 +08:00
|
|
|
|
if (type === "seconds") return this._secondsLabel(value);
|
2018-08-01 05:35:13 +08:00
|
|
|
|
if (type === "link") return this._linkLabel(label.properties, row);
|
2018-08-02 06:40:59 +08:00
|
|
|
|
if (type === "percent") return this._percentLabel(value);
|
2018-12-29 03:48:54 +08:00
|
|
|
|
if (type === "bytes") return this._bytesLabel(value);
|
2018-08-02 06:40:59 +08:00
|
|
|
|
if (type === "number") {
|
|
|
|
|
return this._numberLabel(value, opts);
|
2018-08-01 05:35:13 +08:00
|
|
|
|
}
|
|
|
|
|
if (type === "date") {
|
2018-12-14 20:47:59 +08:00
|
|
|
|
const date = moment(value);
|
2018-08-02 06:40:59 +08:00
|
|
|
|
if (date.isValid()) return this._dateLabel(value, date);
|
2018-08-01 05:35:13 +08:00
|
|
|
|
}
|
2018-12-14 20:47:59 +08:00
|
|
|
|
if (type === "precise_date") {
|
|
|
|
|
const date = moment(value);
|
|
|
|
|
if (date.isValid()) return this._dateLabel(value, date, "LLL");
|
|
|
|
|
}
|
2018-08-02 06:40:59 +08:00
|
|
|
|
if (type === "text") return this._textLabel(value);
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
value,
|
2018-08-02 06:40:59 +08:00
|
|
|
|
type,
|
|
|
|
|
property: mainProperty,
|
2018-08-17 22:19:25 +08:00
|
|
|
|
formatedValue: value ? escapeExpression(value) : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
});
|
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
_userLabel(properties, row) {
|
|
|
|
|
const username = row[properties.username];
|
|
|
|
|
|
2018-08-02 06:40:59 +08:00
|
|
|
|
const formatedValue = () => {
|
|
|
|
|
const userId = row[properties.id];
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
2019-10-30 03:23:50 +08:00
|
|
|
|
const user = EmberObject.create({
|
2018-08-02 06:40:59 +08:00
|
|
|
|
username,
|
|
|
|
|
name: formatUsername(username),
|
|
|
|
|
avatar_template: row[properties.avatar]
|
|
|
|
|
});
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
2018-10-26 18:32:02 +08:00
|
|
|
|
const href = Discourse.getURL(`/admin/users/${userId}/${username}`);
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
2018-08-02 06:40:59 +08:00
|
|
|
|
const avatarImg = renderAvatar(user, {
|
|
|
|
|
imageSize: "tiny",
|
|
|
|
|
ignoreTitle: true
|
|
|
|
|
});
|
|
|
|
|
|
2019-06-26 23:09:52 +08:00
|
|
|
|
return `<a href='${href}'>${avatarImg}<span class='username'>${user.name}</span></a>`;
|
2018-08-02 06:40:59 +08:00
|
|
|
|
};
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
value: username,
|
2020-05-07 22:38:09 +08:00
|
|
|
|
formatedValue: username ? formatedValue() : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
_topicLabel(properties, row) {
|
|
|
|
|
const topicTitle = row[properties.title];
|
2018-08-02 20:01:17 +08:00
|
|
|
|
|
|
|
|
|
const formatedValue = () => {
|
|
|
|
|
const topicId = row[properties.id];
|
2018-10-26 18:32:02 +08:00
|
|
|
|
const href = Discourse.getURL(`/t/-/${topicId}`);
|
2019-02-01 21:10:59 +08:00
|
|
|
|
return `<a href='${href}'>${escapeExpression(topicTitle)}</a>`;
|
2018-08-02 20:01:17 +08:00
|
|
|
|
};
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
value: topicTitle,
|
2018-08-17 22:19:25 +08:00
|
|
|
|
formatedValue: topicTitle ? formatedValue() : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
_postLabel(properties, row) {
|
|
|
|
|
const postTitle = row[properties.truncated_raw];
|
|
|
|
|
const postNumber = row[properties.number];
|
|
|
|
|
const topicId = row[properties.topic_id];
|
2018-10-26 18:32:02 +08:00
|
|
|
|
const href = Discourse.getURL(`/t/-/${topicId}/${postNumber}`);
|
2018-08-01 05:35:13 +08:00
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
property: properties.title,
|
|
|
|
|
value: postTitle,
|
2019-01-19 00:06:43 +08:00
|
|
|
|
formatedValue:
|
2019-02-01 21:22:31 +08:00
|
|
|
|
postTitle && href
|
|
|
|
|
? `<a href='${href}'>${escapeExpression(postTitle)}</a>`
|
|
|
|
|
: "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-08-02 06:40:59 +08:00
|
|
|
|
_secondsLabel(value) {
|
2018-08-01 05:35:13 +08:00
|
|
|
|
return {
|
2019-09-12 21:17:34 +08:00
|
|
|
|
value: toNumber(value),
|
2018-08-01 05:35:13 +08:00
|
|
|
|
formatedValue: durationTiny(value)
|
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-08-02 06:40:59 +08:00
|
|
|
|
_percentLabel(value) {
|
2018-08-01 05:35:13 +08:00
|
|
|
|
return {
|
2019-09-12 21:17:34 +08:00
|
|
|
|
value: toNumber(value),
|
2018-08-17 22:19:25 +08:00
|
|
|
|
formatedValue: value ? `${value}%` : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-08-02 06:40:59 +08:00
|
|
|
|
_numberLabel(value, options = {}) {
|
2019-11-01 01:37:24 +08:00
|
|
|
|
const formatNumbers = isEmpty(options.formatNumbers)
|
2018-08-02 06:40:59 +08:00
|
|
|
|
? true
|
|
|
|
|
: options.formatNumbers;
|
|
|
|
|
|
|
|
|
|
const formatedValue = () => (formatNumbers ? number(value) : value);
|
|
|
|
|
|
2018-08-01 05:35:13 +08:00
|
|
|
|
return {
|
2019-09-12 21:17:34 +08:00
|
|
|
|
value: toNumber(value),
|
2018-08-17 22:19:25 +08:00
|
|
|
|
formatedValue: value ? formatedValue() : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-12-29 03:48:54 +08:00
|
|
|
|
_bytesLabel(value) {
|
|
|
|
|
return {
|
2019-09-12 21:17:34 +08:00
|
|
|
|
value: toNumber(value),
|
2018-12-29 03:48:54 +08:00
|
|
|
|
formatedValue: I18n.toHumanSize(value)
|
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-12-14 20:47:59 +08:00
|
|
|
|
_dateLabel(value, date, format = "LL") {
|
2018-08-01 05:35:13 +08:00
|
|
|
|
return {
|
|
|
|
|
value,
|
2018-12-14 20:47:59 +08:00
|
|
|
|
formatedValue: value ? date.format(format) : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-08-02 06:40:59 +08:00
|
|
|
|
_textLabel(value) {
|
2018-08-01 05:35:13 +08:00
|
|
|
|
const escaped = escapeExpression(value);
|
|
|
|
|
|
|
|
|
|
return {
|
|
|
|
|
value,
|
2018-08-17 22:19:25 +08:00
|
|
|
|
formatedValue: value ? escaped : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
_linkLabel(properties, row) {
|
|
|
|
|
const property = properties[0];
|
2018-10-26 18:32:02 +08:00
|
|
|
|
const value = Discourse.getURL(row[property]);
|
2018-08-02 06:40:59 +08:00
|
|
|
|
const formatedValue = (href, anchor) => {
|
|
|
|
|
return `<a href="${escapeExpression(href)}">${escapeExpression(
|
|
|
|
|
anchor
|
|
|
|
|
)}</a>`;
|
|
|
|
|
};
|
|
|
|
|
|
2018-08-01 05:35:13 +08:00
|
|
|
|
return {
|
|
|
|
|
value,
|
2018-08-17 22:19:25 +08:00
|
|
|
|
formatedValue: value ? formatedValue(value, row[properties[1]]) : "—"
|
2018-08-01 05:35:13 +08:00
|
|
|
|
};
|
|
|
|
|
},
|
|
|
|
|
|
2018-05-18 04:44:33 +08:00
|
|
|
|
_computeChange(valAtT1, valAtT2) {
|
|
|
|
|
return ((valAtT2 - valAtT1) / valAtT1) * 100;
|
|
|
|
|
},
|
|
|
|
|
|
2018-05-28 16:55:42 +08:00
|
|
|
|
_computeTrend(valAtT1, valAtT2, higherIsBetter) {
|
2018-05-18 04:44:33 +08:00
|
|
|
|
const change = this._computeChange(valAtT1, valAtT2);
|
|
|
|
|
|
|
|
|
|
if (change > 50) {
|
|
|
|
|
return higherIsBetter ? "high-trending-up" : "high-trending-down";
|
2018-05-28 16:55:42 +08:00
|
|
|
|
} else if (change > 2) {
|
2018-05-18 04:44:33 +08:00
|
|
|
|
return higherIsBetter ? "trending-up" : "trending-down";
|
2018-05-28 16:55:42 +08:00
|
|
|
|
} else if (change <= 2 && change >= -2) {
|
2018-05-18 04:44:33 +08:00
|
|
|
|
return "no-change";
|
|
|
|
|
} else if (change < -50) {
|
|
|
|
|
return higherIsBetter ? "high-trending-down" : "high-trending-up";
|
2018-05-28 16:55:42 +08:00
|
|
|
|
} else if (change < -2) {
|
2018-05-18 04:44:33 +08:00
|
|
|
|
return higherIsBetter ? "trending-down" : "trending-up";
|
|
|
|
|
}
|
2018-05-25 18:09:30 +08:00
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
_iconForTrend(trend, higherIsBetter) {
|
|
|
|
|
switch (trend) {
|
|
|
|
|
case "trending-up":
|
|
|
|
|
return higherIsBetter ? "angle-up" : "angle-down";
|
|
|
|
|
case "trending-down":
|
|
|
|
|
return higherIsBetter ? "angle-down" : "angle-up";
|
|
|
|
|
case "high-trending-up":
|
|
|
|
|
return higherIsBetter ? "angle-double-up" : "angle-double-down";
|
|
|
|
|
case "high-trending-down":
|
|
|
|
|
return higherIsBetter ? "angle-double-down" : "angle-double-up";
|
|
|
|
|
default:
|
2018-08-23 00:00:11 +08:00
|
|
|
|
return "minus";
|
2018-05-25 18:09:30 +08:00
|
|
|
|
}
|
2018-05-18 04:44:33 +08:00
|
|
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}
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2013-03-20 00:04:40 +08:00
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});
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2013-02-28 11:39:42 +08:00
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2015-06-23 01:46:51 +08:00
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Report.reopenClass({
|
2018-07-20 02:33:11 +08:00
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fillMissingDates(report, options = {}) {
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const dataField = options.dataField || "data";
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const filledField = options.filledField || "data";
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const startDate = options.startDate || "start_date";
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const endDate = options.endDate || "end_date";
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if (_.isArray(report[dataField])) {
|
2018-06-15 23:03:24 +08:00
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const startDateFormatted = moment
|
2018-07-20 02:33:11 +08:00
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.utc(report[startDate])
|
2018-06-15 23:03:24 +08:00
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.locale("en")
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.format("YYYY-MM-DD");
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const endDateFormatted = moment
|
2018-07-20 02:33:11 +08:00
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.utc(report[endDate])
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2018-06-15 23:03:24 +08:00
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.locale("en")
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.format("YYYY-MM-DD");
|
2019-01-21 22:17:04 +08:00
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if (report.modes[0] === "stacked_chart") {
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report[filledField] = report[dataField].map(rep => {
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return {
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req: rep.req,
|
2019-01-22 00:10:10 +08:00
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label: rep.label,
|
2019-01-21 22:17:04 +08:00
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color: rep.color,
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data: fillMissingDates(
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JSON.parse(JSON.stringify(rep.data)),
|
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startDateFormatted,
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endDateFormatted
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)
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};
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});
|
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|
|
} else {
|
|
|
|
|
report[filledField] = fillMissingDates(
|
|
|
|
|
JSON.parse(JSON.stringify(report[dataField])),
|
|
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startDateFormatted,
|
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|
endDateFormatted
|
|
|
|
|
);
|
|
|
|
|
}
|
2018-05-11 11:30:21 +08:00
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
|
2016-02-03 10:29:51 +08:00
|
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|
|
find(type, startDate, endDate, categoryId, groupId) {
|
2016-07-01 01:55:44 +08:00
|
|
|
|
return ajax("/admin/reports/" + type, {
|
2015-06-24 21:19:39 +08:00
|
|
|
|
data: {
|
|
|
|
|
start_date: startDate,
|
|
|
|
|
end_date: endDate,
|
2016-02-03 10:29:51 +08:00
|
|
|
|
category_id: categoryId,
|
|
|
|
|
group_id: groupId
|
2015-06-24 21:19:39 +08:00
|
|
|
|
}
|
|
|
|
|
}).then(json => {
|
2018-07-20 02:33:11 +08:00
|
|
|
|
// don’t fill for large multi column tables
|
|
|
|
|
// which are not date based
|
|
|
|
|
const modes = json.report.modes;
|
|
|
|
|
if (modes.length !== 1 && modes[0] !== "table") {
|
|
|
|
|
Report.fillMissingDates(json.report);
|
|
|
|
|
}
|
2018-01-13 10:43:49 +08:00
|
|
|
|
|
2015-12-02 07:31:30 +08:00
|
|
|
|
const model = Report.create({ type: type });
|
2014-07-22 01:39:23 +08:00
|
|
|
|
model.setProperties(json.report);
|
2018-03-16 05:10:45 +08:00
|
|
|
|
|
|
|
|
|
if (json.report.related_report) {
|
|
|
|
|
// TODO: fillMissingDates if xaxis is date
|
2018-06-15 23:03:24 +08:00
|
|
|
|
const related = Report.create({
|
|
|
|
|
type: json.report.related_report.type
|
|
|
|
|
});
|
2018-03-16 05:10:45 +08:00
|
|
|
|
related.setProperties(json.report.related_report);
|
2018-05-18 04:44:33 +08:00
|
|
|
|
model.set("relatedReport", related);
|
2018-03-16 05:10:45 +08:00
|
|
|
|
}
|
|
|
|
|
|
2014-11-06 03:46:27 +08:00
|
|
|
|
return model;
|
2013-02-28 11:39:42 +08:00
|
|
|
|
});
|
|
|
|
|
}
|
2013-03-14 20:01:52 +08:00
|
|
|
|
});
|
2015-06-23 01:46:51 +08:00
|
|
|
|
|
|
|
|
|
export default Report;
|