mirror of https://github.com/zulip/zulip.git
1075 lines
37 KiB
JavaScript
1075 lines
37 KiB
JavaScript
import $ from "jquery";
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import PlotlyBar from "plotly.js/lib/bar";
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import Plotly from "plotly.js/lib/core";
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import PlotlyPie from "plotly.js/lib/pie";
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import tippy from "tippy.js";
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import {$t, $t_html} from "../i18n";
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import {page_params} from "../page_params";
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Plotly.register([PlotlyBar, PlotlyPie]);
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const font_14pt = {
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family: "Source Sans 3",
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size: 14,
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color: "#000000",
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};
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let last_full_update = Number.POSITIVE_INFINITY;
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// TODO: should take a dict of arrays and do it for all keys
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function partial_sums(array) {
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let accumulator = 0;
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return array.map((o) => {
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accumulator += o;
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return accumulator;
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});
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}
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// Assumes date is a round number of hours
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function floor_to_local_day(date) {
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const date_copy = new Date(date.getTime());
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date_copy.setHours(0);
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return date_copy;
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}
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// Assumes date is a round number of hours
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function floor_to_local_week(date) {
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const date_copy = floor_to_local_day(date);
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date_copy.setHours(-24 * date.getDay());
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return date_copy;
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}
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function format_date(date, include_hour) {
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const months = [
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$t({defaultMessage: "January"}),
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$t({defaultMessage: "February"}),
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$t({defaultMessage: "March"}),
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$t({defaultMessage: "April"}),
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$t({defaultMessage: "May"}),
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$t({defaultMessage: "June"}),
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$t({defaultMessage: "July"}),
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$t({defaultMessage: "August"}),
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$t({defaultMessage: "September"}),
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$t({defaultMessage: "October"}),
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$t({defaultMessage: "November"}),
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$t({defaultMessage: "December"}),
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];
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const month_str = months[date.getMonth()];
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const year = date.getFullYear();
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const day = date.getDate();
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if (include_hour) {
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const hour = date.getHours();
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const str = hour >= 12 ? "PM" : "AM";
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return month_str + " " + day + ", " + (hour % 12) + ":00" + str;
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}
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return month_str + " " + day + ", " + year;
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}
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function update_last_full_update(end_times) {
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if (end_times.length === 0) {
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return;
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}
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last_full_update = Math.min(last_full_update, end_times.at(-1));
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const update_time = new Date(last_full_update * 1000);
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const locale_date = update_time.toLocaleDateString("en-US", {
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year: "numeric",
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month: "long",
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day: "numeric",
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});
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const locale_time = update_time.toLocaleTimeString(undefined, {
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hour: "numeric",
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minute: "numeric",
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});
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$("#id_last_full_update").text(locale_time + " on " + locale_date);
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$("#id_last_full_update").closest(".last-update").show();
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}
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$(() => {
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tippy(".last_update_tooltip", {
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// Same defaults as set in our tippyjs module.
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maxWidth: 300,
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delay: [100, 20],
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animation: false,
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touch: ["hold", 750],
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placement: "top",
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});
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// Add configuration for any additional tooltips here.
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});
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function populate_messages_sent_over_time(data) {
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if (data.end_times.length === 0) {
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// TODO: do something nicer here
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return;
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}
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// Helper functions
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function make_traces(dates, values, type, date_formatter) {
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const text = dates.map((date) => date_formatter(date));
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const common = {x: dates, type, hoverinfo: "none", text, textposition: "none"};
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return {
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human: {
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// 5062a0
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name: $t({defaultMessage: "Humans"}),
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y: values.human,
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marker: {color: "#5f6ea0"},
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...common,
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},
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bot: {
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// a09b5f bbb56e
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name: $t({defaultMessage: "Bots"}),
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y: values.bot,
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marker: {color: "#b7b867"},
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...common,
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},
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me: {
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name: $t({defaultMessage: "Me"}),
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y: values.me,
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marker: {color: "#be6d68"},
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...common,
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},
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};
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}
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const layout = {
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barmode: "group",
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width: 750,
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height: 400,
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margin: {l: 40, r: 0, b: 40, t: 0},
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xaxis: {
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fixedrange: true,
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rangeslider: {bordercolor: "#D8D8D8", borderwidth: 1},
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type: "date",
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},
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yaxis: {fixedrange: true, rangemode: "tozero"},
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legend: {
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x: 0.62,
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y: 1.12,
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orientation: "h",
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font: font_14pt,
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},
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font: font_14pt,
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};
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function make_rangeselector(x, y, button1, button2) {
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return {
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x,
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y,
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buttons: [
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{stepmode: "backward", ...button1},
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{stepmode: "backward", ...button2},
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{step: "all", label: $t({defaultMessage: "All time"})},
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],
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};
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}
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// This is also the cumulative rangeselector
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const daily_rangeselector = make_rangeselector(
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0.68,
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-0.62,
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{count: 10, label: $t({defaultMessage: "Last 10 days"}), step: "day"},
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{count: 30, label: $t({defaultMessage: "Last 30 days"}), step: "day"},
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);
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const weekly_rangeselector = make_rangeselector(
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0.656,
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-0.62,
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{count: 2, label: $t({defaultMessage: "Last 2 months"}), step: "month"},
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{count: 6, label: $t({defaultMessage: "Last 6 months"}), step: "month"},
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);
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function add_hover_handler() {
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document.querySelector("#id_messages_sent_over_time").on("plotly_hover", (data) => {
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$("#hoverinfo").show();
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document.querySelector("#hover_date").textContent =
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data.points[0].data.text[data.points[0].pointNumber];
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const values = [null, null, null];
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for (const trace of data.points) {
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values[trace.curveNumber] = trace.y;
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}
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const hover_text_ids = ["#hover_me", "#hover_human", "#hover_bot"];
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const hover_value_ids = ["#hover_me_value", "#hover_human_value", "#hover_bot_value"];
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for (const [i, value] of values.entries()) {
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if (value !== null) {
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document.querySelector(hover_text_ids[i]).style.display = "inline";
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document.querySelector(hover_value_ids[i]).style.display = "inline";
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document.querySelector(hover_value_ids[i]).textContent = value;
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} else {
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document.querySelector(hover_text_ids[i]).style.display = "none";
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document.querySelector(hover_value_ids[i]).style.display = "none";
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}
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}
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});
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}
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const start_dates = data.end_times.map(
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(timestamp) =>
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// data.end_times are the ends of hour long intervals.
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new Date(timestamp * 1000 - 60 * 60 * 1000),
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);
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function aggregate_data(aggregation) {
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let start;
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let is_boundary;
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if (aggregation === "day") {
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start = floor_to_local_day(start_dates[0]);
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is_boundary = function (date) {
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return date.getHours() === 0;
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};
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} else if (aggregation === "week") {
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start = floor_to_local_week(start_dates[0]);
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is_boundary = function (date) {
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return date.getHours() === 0 && date.getDay() === 0;
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};
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}
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const dates = [start];
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const values = {human: [], bot: [], me: []};
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let current = {human: 0, bot: 0, me: 0};
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let i_init = 0;
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if (is_boundary(start_dates[0])) {
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current = {
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human: data.everyone.human[0],
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bot: data.everyone.bot[0],
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me: data.user.human[0],
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};
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i_init = 1;
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}
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for (let i = i_init; i < start_dates.length; i += 1) {
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if (is_boundary(start_dates[i])) {
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dates.push(start_dates[i]);
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values.human.push(current.human);
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values.bot.push(current.bot);
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values.me.push(current.me);
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current = {human: 0, bot: 0, me: 0};
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}
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current.human += data.everyone.human[i];
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current.bot += data.everyone.bot[i];
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current.me += data.user.human[i];
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}
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values.human.push(current.human);
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values.bot.push(current.bot);
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values.me.push(current.me);
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return {
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dates,
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values,
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last_value_is_partial: !is_boundary(
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new Date(start_dates.at(-1).getTime() + 60 * 60 * 1000),
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),
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};
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}
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// Generate traces
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let date_formatter = function (date) {
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return format_date(date, true);
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};
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let values = {me: data.user.human, human: data.everyone.human, bot: data.everyone.bot};
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let info = aggregate_data("day");
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date_formatter = function (date) {
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return format_date(date, false);
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};
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const last_day_is_partial = info.last_value_is_partial;
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const daily_traces = make_traces(info.dates, info.values, "bar", date_formatter);
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info = aggregate_data("week");
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date_formatter = function (date) {
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return $t({defaultMessage: "Week of {date}"}, {date: format_date(date, false)});
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};
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const last_week_is_partial = info.last_value_is_partial;
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const weekly_traces = make_traces(info.dates, info.values, "bar", date_formatter);
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const dates = data.end_times.map((timestamp) => new Date(timestamp * 1000));
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values = {
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human: partial_sums(data.everyone.human),
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bot: partial_sums(data.everyone.bot),
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me: partial_sums(data.user.human),
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};
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date_formatter = function (date) {
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return format_date(date, true);
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};
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const cumulative_traces = make_traces(dates, values, "scatter", date_formatter);
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// Functions to draw and interact with the plot
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// We need to redraw plot entirely if switching from (the cumulative) line
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// graph to any bar graph, since otherwise the rangeselector shows both (plotly bug)
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let clicked_cumulative = false;
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function draw_or_update_plot(rangeselector, traces, last_value_is_partial, initial_draw) {
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$("#daily_button, #weekly_button, #cumulative_button").removeClass("selected");
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$("#id_messages_sent_over_time > div").removeClass("spinner");
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if (initial_draw) {
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traces.human.visible = true;
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traces.bot.visible = "legendonly";
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traces.me.visible = "legendonly";
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} else {
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const plotDiv = document.querySelector("#id_messages_sent_over_time");
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traces.me.visible = plotDiv.data[0].visible;
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traces.human.visible = plotDiv.data[1].visible;
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traces.bot.visible = plotDiv.data[2].visible;
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}
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layout.xaxis.rangeselector = rangeselector;
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if (clicked_cumulative || initial_draw) {
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Plotly.newPlot(
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"id_messages_sent_over_time",
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[traces.me, traces.human, traces.bot],
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layout,
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{displayModeBar: false},
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);
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add_hover_handler();
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} else {
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Plotly.deleteTraces("id_messages_sent_over_time", [0, 1, 2]);
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Plotly.addTraces("id_messages_sent_over_time", [traces.me, traces.human, traces.bot]);
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Plotly.relayout("id_messages_sent_over_time", layout);
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}
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$("#id_messages_sent_over_time").attr("last_value_is_partial", last_value_is_partial);
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}
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// Click handlers for aggregation buttons
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$("#daily_button").on("click", function () {
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draw_or_update_plot(daily_rangeselector, daily_traces, last_day_is_partial, false);
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$(this).addClass("selected");
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clicked_cumulative = false;
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});
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$("#weekly_button").on("click", function () {
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draw_or_update_plot(weekly_rangeselector, weekly_traces, last_week_is_partial, false);
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$(this).addClass("selected");
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clicked_cumulative = false;
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});
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$("#cumulative_button").on("click", function () {
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clicked_cumulative = false;
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draw_or_update_plot(daily_rangeselector, cumulative_traces, false, false);
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$(this).addClass("selected");
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clicked_cumulative = true;
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});
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// Initial drawing of plot
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if (weekly_traces.human.x.length < 12) {
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draw_or_update_plot(daily_rangeselector, daily_traces, last_day_is_partial, true);
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$("#daily_button").addClass("selected");
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} else {
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draw_or_update_plot(weekly_rangeselector, weekly_traces, last_week_is_partial, true);
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$("#weekly_button").addClass("selected");
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}
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}
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function round_to_percentages(values, total) {
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return values.map((x) => {
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if (x === total) {
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return "100%";
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}
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if (x === 0) {
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return "0%";
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}
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const unrounded = (x / total) * 100;
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const precision = Math.min(
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6, // this is the max precision (two #, 4 decimal points; 99.9999%).
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Math.max(
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2, // the minimum amount of precision (40% or 6.0%).
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Math.floor(-Math.log10(100 - unrounded)) + 3,
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),
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);
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return unrounded.toPrecision(precision) + "%";
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});
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}
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// Last label will turn into "Other" if time_series data has a label not in labels
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function compute_summary_chart_data(time_series_data, num_steps, labels_) {
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const data = new Map();
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for (const [key, array] of Object.entries(time_series_data)) {
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if (array.length < num_steps) {
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num_steps = array.length;
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}
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let sum = 0;
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for (let i = 1; i <= num_steps; i += 1) {
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sum += array.at(-i);
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}
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data.set(key, sum);
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}
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const labels = labels_.slice();
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const values = [];
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for (const label of labels) {
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if (data.has(label)) {
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values.push(data.get(label));
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data.delete(label);
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} else {
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values.push(0);
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}
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}
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if (data.size !== 0) {
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labels[labels.length - 1] = "Other";
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for (const sum of data.values()) {
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values[labels.length - 1] += sum;
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}
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}
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let total = 0;
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for (const value of values) {
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total += value;
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}
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return {
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values,
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labels,
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percentages: round_to_percentages(values, total),
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total,
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};
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}
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function populate_messages_sent_by_client(data) {
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const layout = {
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width: 750,
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height: null, // set in draw_plot()
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margin: {l: 3, r: 40, b: 40, t: 0},
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font: font_14pt,
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xaxis: {range: null}, // set in draw_plot()
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yaxis: {showticklabels: false},
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showlegend: false,
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};
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// sort labels so that values are descending in the default view
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const everyone_month = compute_summary_chart_data(
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data.everyone,
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30,
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data.display_order.slice(0, 12),
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);
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const label_values = [];
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for (let i = 0; i < everyone_month.values.length; i += 1) {
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label_values.push({
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label: everyone_month.labels[i],
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value: everyone_month.labels[i] === "Other" ? -1 : everyone_month.values[i],
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});
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}
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label_values.sort((a, b) => b.value - a.value);
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const labels = [];
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for (const item of label_values) {
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labels.push(item.label);
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}
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function make_plot_data(time_series_data, num_steps) {
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const plot_data = compute_summary_chart_data(time_series_data, num_steps, labels);
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plot_data.values.reverse();
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plot_data.labels.reverse();
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plot_data.percentages.reverse();
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const annotations = {values: [], labels: [], text: []};
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for (let i = 0; i < plot_data.values.length; i += 1) {
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if (plot_data.values[i] > 0) {
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annotations.values.push(plot_data.values[i]);
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annotations.labels.push(plot_data.labels[i]);
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annotations.text.push(
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" " + plot_data.labels[i] + " (" + plot_data.percentages[i] + ")",
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);
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}
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}
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return {
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trace: {
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x: plot_data.values,
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y: plot_data.labels,
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type: "bar",
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orientation: "h",
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sort: false,
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textinfo: "text",
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hoverinfo: "none",
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marker: {color: "#537c5e"},
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font: {family: "Source Sans 3", size: 18, color: "#000000"},
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},
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trace_annotations: {
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x: annotations.values,
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y: annotations.labels,
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mode: "text",
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type: "scatter",
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textposition: "middle right",
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text: annotations.text,
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},
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};
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}
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const plot_data = {
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everyone: {
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cumulative: make_plot_data(data.everyone, data.end_times.length),
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year: make_plot_data(data.everyone, 365),
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month: make_plot_data(data.everyone, 30),
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week: make_plot_data(data.everyone, 7),
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},
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user: {
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cumulative: make_plot_data(data.user, data.end_times.length),
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year: make_plot_data(data.user, 365),
|
|
month: make_plot_data(data.user, 30),
|
|
week: make_plot_data(data.user, 7),
|
|
},
|
|
};
|
|
|
|
let user_button = "everyone";
|
|
let time_button;
|
|
if (data.end_times.length >= 30) {
|
|
time_button = "month";
|
|
$("#messages_by_client_last_month_button").addClass("selected");
|
|
} else {
|
|
time_button = "cumulative";
|
|
$("#messages_by_client_cumulative_button").addClass("selected");
|
|
}
|
|
|
|
if (data.end_times.length < 365) {
|
|
$("#pie_messages_sent_by_client button[data-time='year']").remove();
|
|
if (data.end_times.length < 30) {
|
|
$("#pie_messages_sent_by_client button[data-time='month']").remove();
|
|
if (data.end_times.length < 7) {
|
|
$("#pie_messages_sent_by_client button[data-time='week']").remove();
|
|
}
|
|
}
|
|
}
|
|
|
|
function draw_plot() {
|
|
$("#id_messages_sent_by_client > div").removeClass("spinner");
|
|
const data_ = plot_data[user_button][time_button];
|
|
layout.height = layout.margin.b + data_.trace.x.length * 30;
|
|
layout.xaxis.range = [0, Math.max(...data_.trace.x) * 1.3];
|
|
Plotly.newPlot(
|
|
"id_messages_sent_by_client",
|
|
[data_.trace, data_.trace_annotations],
|
|
layout,
|
|
{displayModeBar: false, staticPlot: true},
|
|
);
|
|
}
|
|
|
|
draw_plot();
|
|
|
|
// Click handlers
|
|
function set_user_button($button) {
|
|
$("#pie_messages_sent_by_client button[data-user]").removeClass("selected");
|
|
$button.addClass("selected");
|
|
}
|
|
|
|
function set_time_button($button) {
|
|
$("#pie_messages_sent_by_client button[data-time]").removeClass("selected");
|
|
$button.addClass("selected");
|
|
}
|
|
|
|
$("#pie_messages_sent_by_client button").on("click", function () {
|
|
if ($(this).attr("data-user")) {
|
|
set_user_button($(this));
|
|
user_button = $(this).attr("data-user");
|
|
}
|
|
if ($(this).attr("data-time")) {
|
|
set_time_button($(this));
|
|
time_button = $(this).attr("data-time");
|
|
}
|
|
draw_plot();
|
|
});
|
|
|
|
// handle links with @href started with '#' only
|
|
$(document).on("click", 'a[href^="#"]', function (e) {
|
|
// target element id
|
|
const id = $(this).attr("href");
|
|
// target element
|
|
const $id = $(id);
|
|
if ($id.length === 0) {
|
|
return;
|
|
}
|
|
// prevent standard hash navigation (avoid blinking in IE)
|
|
e.preventDefault();
|
|
const pos = $id.offset().top + $(".page-content")[0].scrollTop - 50;
|
|
$(".page-content").animate({scrollTop: pos + "px"}, 500);
|
|
});
|
|
}
|
|
|
|
function populate_messages_sent_by_message_type(data) {
|
|
const layout = {
|
|
margin: {l: 90, r: 0, b: 0, t: 0},
|
|
width: 750,
|
|
height: 300,
|
|
font: font_14pt,
|
|
};
|
|
|
|
function make_plot_data(time_series_data, num_steps) {
|
|
const plot_data = compute_summary_chart_data(
|
|
time_series_data,
|
|
num_steps,
|
|
data.display_order,
|
|
);
|
|
const labels = [];
|
|
for (let i = 0; i < plot_data.labels.length; i += 1) {
|
|
labels.push(plot_data.labels[i] + " (" + plot_data.percentages[i] + ")");
|
|
}
|
|
const total_string = plot_data.total.toLocaleString();
|
|
return {
|
|
trace: {
|
|
values: plot_data.values,
|
|
labels,
|
|
type: "pie",
|
|
direction: "clockwise",
|
|
rotation: -90,
|
|
sort: false,
|
|
textinfo: "text",
|
|
text: plot_data.labels.map(() => ""),
|
|
hoverinfo: "label+value",
|
|
pull: 0.05,
|
|
marker: {
|
|
colors: ["#68537c", "#be6d68", "#b3b348"],
|
|
},
|
|
},
|
|
total_html: $t_html(
|
|
{defaultMessage: "<b>Total messages</b>: {total_messages}"},
|
|
{total_messages: total_string},
|
|
),
|
|
};
|
|
}
|
|
|
|
const plot_data = {
|
|
everyone: {
|
|
cumulative: make_plot_data(data.everyone, data.end_times.length),
|
|
year: make_plot_data(data.everyone, 365),
|
|
month: make_plot_data(data.everyone, 30),
|
|
week: make_plot_data(data.everyone, 7),
|
|
},
|
|
user: {
|
|
cumulative: make_plot_data(data.user, data.end_times.length),
|
|
year: make_plot_data(data.user, 365),
|
|
month: make_plot_data(data.user, 30),
|
|
week: make_plot_data(data.user, 7),
|
|
},
|
|
};
|
|
|
|
let user_button = "everyone";
|
|
let time_button;
|
|
if (data.end_times.length >= 30) {
|
|
time_button = "month";
|
|
$("#messages_by_type_last_month_button").addClass("selected");
|
|
} else {
|
|
time_button = "cumulative";
|
|
$("#messages_by_type_cumulative_button").addClass("selected");
|
|
}
|
|
const totaldiv = document.querySelector("#pie_messages_sent_by_type_total");
|
|
|
|
if (data.end_times.length < 365) {
|
|
$("#pie_messages_sent_by_type button[data-time='year']").remove();
|
|
if (data.end_times.length < 30) {
|
|
$("#pie_messages_sent_by_type button[data-time='month']").remove();
|
|
if (data.end_times.length < 7) {
|
|
$("#pie_messages_sent_by_type button[data-time='week']").remove();
|
|
}
|
|
}
|
|
}
|
|
|
|
function draw_plot() {
|
|
$("#id_messages_sent_by_message_type > div").removeClass("spinner");
|
|
Plotly.newPlot(
|
|
"id_messages_sent_by_message_type",
|
|
[plot_data[user_button][time_button].trace],
|
|
layout,
|
|
{displayModeBar: false},
|
|
);
|
|
totaldiv.innerHTML = plot_data[user_button][time_button].total_html;
|
|
}
|
|
|
|
draw_plot();
|
|
|
|
// Click handlers
|
|
function set_user_button($button) {
|
|
$("#pie_messages_sent_by_type button[data-user]").removeClass("selected");
|
|
$button.addClass("selected");
|
|
}
|
|
|
|
function set_time_button($button) {
|
|
$("#pie_messages_sent_by_type button[data-time]").removeClass("selected");
|
|
$button.addClass("selected");
|
|
}
|
|
|
|
$("#pie_messages_sent_by_type button").on("click", function () {
|
|
if ($(this).attr("data-user")) {
|
|
set_user_button($(this));
|
|
user_button = $(this).attr("data-user");
|
|
}
|
|
if ($(this).attr("data-time")) {
|
|
set_time_button($(this));
|
|
time_button = $(this).attr("data-time");
|
|
}
|
|
draw_plot();
|
|
});
|
|
}
|
|
|
|
function populate_number_of_users(data) {
|
|
const layout = {
|
|
width: 750,
|
|
height: 370,
|
|
margin: {l: 40, r: 0, b: 65, t: 20},
|
|
xaxis: {
|
|
fixedrange: true,
|
|
rangeslider: {bordercolor: "#D8D8D8", borderwidth: 1},
|
|
rangeselector: {
|
|
x: 0.64,
|
|
y: -0.79,
|
|
buttons: [
|
|
{
|
|
count: 2,
|
|
label: $t({defaultMessage: "Last 2 months"}),
|
|
step: "month",
|
|
stepmode: "backward",
|
|
},
|
|
{
|
|
count: 6,
|
|
label: $t({defaultMessage: "Last 6 months"}),
|
|
step: "month",
|
|
stepmode: "backward",
|
|
},
|
|
{step: "all", label: $t({defaultMessage: "All time"})},
|
|
],
|
|
},
|
|
},
|
|
yaxis: {fixedrange: true, rangemode: "tozero"},
|
|
font: font_14pt,
|
|
};
|
|
|
|
const end_dates = data.end_times.map((timestamp) => new Date(timestamp * 1000));
|
|
|
|
const text = end_dates.map((date) => format_date(date, false));
|
|
|
|
function make_traces(values, type) {
|
|
return {
|
|
x: end_dates,
|
|
y: values,
|
|
type,
|
|
name: $t({defaultMessage: "Active users"}),
|
|
hoverinfo: "none",
|
|
text,
|
|
visible: true,
|
|
};
|
|
}
|
|
|
|
function add_hover_handler() {
|
|
document.querySelector("#id_number_of_users").on("plotly_hover", (data) => {
|
|
$("#users_hover_info").show();
|
|
document.querySelector("#users_hover_date").textContent =
|
|
data.points[0].data.text[data.points[0].pointNumber];
|
|
const values = [null, null, null];
|
|
for (const trace of data.points) {
|
|
values[trace.curveNumber] = trace.y;
|
|
}
|
|
const hover_value_ids = [
|
|
"#users_hover_1day_value",
|
|
"#users_hover_15day_value",
|
|
"#users_hover_all_time_value",
|
|
];
|
|
for (const [i, value] of values.entries()) {
|
|
if (value !== null) {
|
|
document.querySelector(hover_value_ids[i]).style.display = "inline";
|
|
document.querySelector(hover_value_ids[i]).textContent = value;
|
|
} else {
|
|
document.querySelector(hover_value_ids[i]).style.display = "none";
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
const _1day_trace = make_traces(data.everyone._1day, "bar");
|
|
const _15day_trace = make_traces(data.everyone._15day, "scatter");
|
|
const all_time_trace = make_traces(data.everyone.all_time, "scatter");
|
|
|
|
$("#id_number_of_users > div").removeClass("spinner");
|
|
|
|
// Redraw the plot every time for simplicity. If we have perf problems with this in the
|
|
// future, we can copy the update behavior from populate_messages_sent_over_time
|
|
function draw_or_update_plot(trace) {
|
|
$("#1day_actives_button, #15day_actives_button, #all_time_actives_button").removeClass(
|
|
"selected",
|
|
);
|
|
Plotly.newPlot("id_number_of_users", [trace], layout, {displayModeBar: false});
|
|
add_hover_handler();
|
|
}
|
|
|
|
$("#1day_actives_button").on("click", function () {
|
|
draw_or_update_plot(_1day_trace);
|
|
$(this).addClass("selected");
|
|
});
|
|
|
|
$("#15day_actives_button").on("click", function () {
|
|
draw_or_update_plot(_15day_trace);
|
|
$(this).addClass("selected");
|
|
});
|
|
|
|
$("#all_time_actives_button").on("click", function () {
|
|
draw_or_update_plot(all_time_trace);
|
|
$(this).addClass("selected");
|
|
});
|
|
|
|
// Initial drawing of plot
|
|
draw_or_update_plot(all_time_trace, true);
|
|
$("#all_time_actives_button").addClass("selected");
|
|
}
|
|
|
|
function populate_messages_read_over_time(data) {
|
|
if (data.end_times.length === 0) {
|
|
// TODO: do something nicer here
|
|
return;
|
|
}
|
|
|
|
// Helper functions
|
|
function make_traces(dates, values, type, date_formatter) {
|
|
const text = dates.map((date) => date_formatter(date));
|
|
const common = {x: dates, type, hoverinfo: "none", text, textposition: "none"};
|
|
return {
|
|
everyone: {
|
|
name: $t({defaultMessage: "Everyone"}),
|
|
y: values.everyone,
|
|
marker: {color: "#5f6ea0"},
|
|
...common,
|
|
},
|
|
me: {
|
|
name: $t({defaultMessage: "Me"}),
|
|
y: values.me,
|
|
marker: {color: "#be6d68"},
|
|
...common,
|
|
},
|
|
};
|
|
}
|
|
|
|
const layout = {
|
|
barmode: "group",
|
|
width: 750,
|
|
height: 400,
|
|
margin: {l: 40, r: 0, b: 40, t: 0},
|
|
xaxis: {
|
|
fixedrange: true,
|
|
rangeslider: {bordercolor: "#D8D8D8", borderwidth: 1},
|
|
type: "date",
|
|
},
|
|
yaxis: {fixedrange: true, rangemode: "tozero"},
|
|
legend: {
|
|
x: 0.62,
|
|
y: 1.12,
|
|
orientation: "h",
|
|
font: font_14pt,
|
|
},
|
|
font: font_14pt,
|
|
};
|
|
|
|
function make_rangeselector(x, y, button1, button2) {
|
|
return {
|
|
x,
|
|
y,
|
|
buttons: [
|
|
{stepmode: "backward", ...button1},
|
|
{stepmode: "backward", ...button2},
|
|
{step: "all", label: $t({defaultMessage: "All time"})},
|
|
],
|
|
};
|
|
}
|
|
|
|
// This is also the cumulative rangeselector
|
|
const daily_rangeselector = make_rangeselector(
|
|
0.68,
|
|
-0.62,
|
|
{count: 10, label: $t({defaultMessage: "Last 10 days"}), step: "day"},
|
|
{count: 30, label: $t({defaultMessage: "Last 30 days"}), step: "day"},
|
|
);
|
|
const weekly_rangeselector = make_rangeselector(
|
|
0.656,
|
|
-0.62,
|
|
{count: 2, label: $t({defaultMessage: "Last 2 months"}), step: "month"},
|
|
{count: 6, label: $t({defaultMessage: "Last 6 months"}), step: "month"},
|
|
);
|
|
|
|
function add_hover_handler() {
|
|
document.querySelector("#id_messages_read_over_time").on("plotly_hover", (data) => {
|
|
$("#read_hover_info").show();
|
|
document.querySelector("#read_hover_date").textContent =
|
|
data.points[0].data.text[data.points[0].pointNumber];
|
|
const values = [null, null];
|
|
for (const trace of data.points) {
|
|
values[trace.curveNumber] = trace.y;
|
|
}
|
|
const read_hover_text_ids = ["#read_hover_me", "#read_hover_everyone"];
|
|
const read_hover_value_ids = ["#read_hover_me_value", "#read_hover_everyone_value"];
|
|
for (const [i, value] of values.entries()) {
|
|
if (value !== null) {
|
|
document.querySelector(read_hover_text_ids[i]).style.display = "inline";
|
|
document.querySelector(read_hover_value_ids[i]).style.display = "inline";
|
|
document.querySelector(read_hover_value_ids[i]).textContent = value;
|
|
} else {
|
|
document.querySelector(read_hover_text_ids[i]).style.display = "none";
|
|
document.querySelector(read_hover_value_ids[i]).style.display = "none";
|
|
}
|
|
}
|
|
});
|
|
}
|
|
|
|
const start_dates = data.end_times.map(
|
|
(timestamp) =>
|
|
// data.end_times are the ends of hour long intervals.
|
|
new Date(timestamp * 1000 - 60 * 60 * 1000),
|
|
);
|
|
|
|
function aggregate_data(aggregation) {
|
|
let start;
|
|
let is_boundary;
|
|
if (aggregation === "day") {
|
|
start = floor_to_local_day(start_dates[0]);
|
|
is_boundary = function (date) {
|
|
return date.getHours() === 0;
|
|
};
|
|
} else if (aggregation === "week") {
|
|
start = floor_to_local_week(start_dates[0]);
|
|
is_boundary = function (date) {
|
|
return date.getHours() === 0 && date.getDay() === 0;
|
|
};
|
|
}
|
|
const dates = [start];
|
|
const values = {everyone: [], me: []};
|
|
let current = {everyone: 0, me: 0};
|
|
let i_init = 0;
|
|
if (is_boundary(start_dates[0])) {
|
|
current = {everyone: data.everyone.read[0], me: data.user.read[0]};
|
|
i_init = 1;
|
|
}
|
|
for (let i = i_init; i < start_dates.length; i += 1) {
|
|
if (is_boundary(start_dates[i])) {
|
|
dates.push(start_dates[i]);
|
|
values.everyone.push(current.everyone);
|
|
values.me.push(current.me);
|
|
current = {everyone: 0, me: 0};
|
|
}
|
|
current.everyone += data.everyone.read[i];
|
|
current.me += data.user.read[i];
|
|
}
|
|
values.everyone.push(current.everyone);
|
|
values.me.push(current.me);
|
|
return {
|
|
dates,
|
|
values,
|
|
last_value_is_partial: !is_boundary(
|
|
new Date(start_dates.at(-1).getTime() + 60 * 60 * 1000),
|
|
),
|
|
};
|
|
}
|
|
|
|
// Generate traces
|
|
let date_formatter = function (date) {
|
|
return format_date(date, true);
|
|
};
|
|
let values = {me: data.user.read, everyone: data.everyone.read};
|
|
|
|
let info = aggregate_data("day");
|
|
date_formatter = function (date) {
|
|
return format_date(date, false);
|
|
};
|
|
const last_day_is_partial = info.last_value_is_partial;
|
|
const daily_traces = make_traces(info.dates, info.values, "bar", date_formatter);
|
|
|
|
info = aggregate_data("week");
|
|
date_formatter = function (date) {
|
|
return $t({defaultMessage: "Week of {date}"}, {date: format_date(date, false)});
|
|
};
|
|
const last_week_is_partial = info.last_value_is_partial;
|
|
const weekly_traces = make_traces(info.dates, info.values, "bar", date_formatter);
|
|
|
|
const dates = data.end_times.map((timestamp) => new Date(timestamp * 1000));
|
|
values = {everyone: partial_sums(data.everyone.read), me: partial_sums(data.user.read)};
|
|
date_formatter = function (date) {
|
|
return format_date(date, true);
|
|
};
|
|
const cumulative_traces = make_traces(dates, values, "scatter", date_formatter);
|
|
|
|
// Functions to draw and interact with the plot
|
|
|
|
// We need to redraw plot entirely if switching from (the cumulative) line
|
|
// graph to any bar graph, since otherwise the rangeselector shows both (plotly bug)
|
|
let clicked_cumulative = false;
|
|
|
|
function draw_or_update_plot(rangeselector, traces, last_value_is_partial, initial_draw) {
|
|
$("#read_daily_button, #read_weekly_button, #read_cumulative_button").removeClass(
|
|
"selected",
|
|
);
|
|
$("#id_messages_read_over_time > div").removeClass("spinner");
|
|
if (initial_draw) {
|
|
traces.everyone.visible = true;
|
|
traces.me.visible = "legendonly";
|
|
} else {
|
|
const plotDiv = document.querySelector("#id_messages_read_over_time");
|
|
traces.me.visible = plotDiv.data[0].visible;
|
|
traces.everyone.visible = plotDiv.data[1].visible;
|
|
}
|
|
layout.xaxis.rangeselector = rangeselector;
|
|
if (clicked_cumulative || initial_draw) {
|
|
Plotly.newPlot("id_messages_read_over_time", [traces.me, traces.everyone], layout, {
|
|
displayModeBar: false,
|
|
});
|
|
add_hover_handler();
|
|
} else {
|
|
Plotly.deleteTraces("id_messages_read_over_time", [0, 1]);
|
|
Plotly.addTraces("id_messages_read_over_time", [traces.me, traces.everyone]);
|
|
Plotly.relayout("id_messages_read_over_time", layout);
|
|
}
|
|
$("#id_messages_read_over_time").attr("last_value_is_partial", last_value_is_partial);
|
|
}
|
|
|
|
// Click handlers for aggregation buttons
|
|
$("#read_daily_button").on("click", function () {
|
|
draw_or_update_plot(daily_rangeselector, daily_traces, last_day_is_partial, false);
|
|
$(this).addClass("selected");
|
|
clicked_cumulative = false;
|
|
});
|
|
|
|
$("#read_weekly_button").on("click", function () {
|
|
draw_or_update_plot(weekly_rangeselector, weekly_traces, last_week_is_partial, false);
|
|
$(this).addClass("selected");
|
|
clicked_cumulative = false;
|
|
});
|
|
|
|
$("#read_cumulative_button").on("click", function () {
|
|
clicked_cumulative = false;
|
|
draw_or_update_plot(daily_rangeselector, cumulative_traces, false, false);
|
|
$(this).addClass("selected");
|
|
clicked_cumulative = true;
|
|
});
|
|
|
|
// Initial drawing of plot
|
|
if (weekly_traces.everyone.x.length < 12) {
|
|
draw_or_update_plot(daily_rangeselector, daily_traces, last_day_is_partial, true);
|
|
$("#read_daily_button").addClass("selected");
|
|
} else {
|
|
draw_or_update_plot(weekly_rangeselector, weekly_traces, last_week_is_partial, true);
|
|
$("#read_weekly_button").addClass("selected");
|
|
}
|
|
}
|
|
|
|
function get_chart_data(data, callback) {
|
|
$.get({
|
|
url: "/json/analytics/chart_data" + page_params.data_url_suffix,
|
|
data,
|
|
success(data) {
|
|
callback(data);
|
|
update_last_full_update(data.end_times);
|
|
},
|
|
error(xhr) {
|
|
$("#id_stats_errors").show().text(JSON.parse(xhr.responseText).msg);
|
|
},
|
|
});
|
|
}
|
|
|
|
get_chart_data(
|
|
{chart_name: "messages_sent_over_time", min_length: "10"},
|
|
populate_messages_sent_over_time,
|
|
);
|
|
|
|
get_chart_data(
|
|
{chart_name: "messages_sent_by_client", min_length: "10"},
|
|
populate_messages_sent_by_client,
|
|
);
|
|
|
|
get_chart_data(
|
|
{chart_name: "messages_sent_by_message_type", min_length: "10"},
|
|
populate_messages_sent_by_message_type,
|
|
);
|
|
|
|
get_chart_data({chart_name: "number_of_humans", min_length: "10"}, populate_number_of_users);
|
|
|
|
get_chart_data(
|
|
{chart_name: "messages_read_over_time", min_length: "10"},
|
|
populate_messages_read_over_time,
|
|
);
|