mirror of
https://github.com/zulip/zulip.git
synced 2025-11-11 01:16:19 +00:00
ES and TypeScript modules are strict by default and don’t need this directive. ESLint will remind us to add it to new CommonJS files and remove it from ES and TypeScript modules. Signed-off-by: Anders Kaseorg <anders@zulip.com>
1057 lines
36 KiB
JavaScript
1057 lines
36 KiB
JavaScript
"use strict";
|
|
|
|
const Plotly = require("plotly.js/lib/core");
|
|
|
|
Plotly.register([require("plotly.js/lib/bar"), require("plotly.js/lib/pie")]);
|
|
|
|
const font_14pt = {
|
|
family: "Source Sans Pro",
|
|
size: 14,
|
|
color: "#000000",
|
|
};
|
|
|
|
let last_full_update = Infinity;
|
|
|
|
// TODO: should take a dict of arrays and do it for all keys
|
|
function partial_sums(array) {
|
|
let accumulator = 0;
|
|
return array.map((o) => {
|
|
accumulator += o;
|
|
return accumulator;
|
|
});
|
|
}
|
|
|
|
// Assumes date is a round number of hours
|
|
function floor_to_local_day(date) {
|
|
const date_copy = new Date(date.getTime());
|
|
date_copy.setHours(0);
|
|
return date_copy;
|
|
}
|
|
|
|
// Assumes date is a round number of hours
|
|
function floor_to_local_week(date) {
|
|
const date_copy = floor_to_local_day(date);
|
|
date_copy.setHours(-24 * date.getDay());
|
|
return date_copy;
|
|
}
|
|
|
|
function format_date(date, include_hour) {
|
|
const months = [
|
|
i18n.t("January"),
|
|
i18n.t("February"),
|
|
i18n.t("March"),
|
|
i18n.t("April"),
|
|
i18n.t("May"),
|
|
i18n.t("June"),
|
|
i18n.t("July"),
|
|
i18n.t("August"),
|
|
i18n.t("September"),
|
|
i18n.t("October"),
|
|
i18n.t("November"),
|
|
i18n.t("December"),
|
|
];
|
|
const month_str = months[date.getMonth()];
|
|
const year = date.getFullYear();
|
|
const day = date.getDate();
|
|
if (include_hour) {
|
|
const hour = date.getHours();
|
|
|
|
const str = hour >= 12 ? "PM" : "AM";
|
|
|
|
return month_str + " " + day + ", " + (hour % 12) + ":00" + str;
|
|
}
|
|
return month_str + " " + day + ", " + year;
|
|
}
|
|
|
|
function update_last_full_update(end_times) {
|
|
if (end_times.length === 0) {
|
|
return;
|
|
}
|
|
|
|
last_full_update = Math.min(last_full_update, end_times[end_times.length - 1]);
|
|
const update_time = new Date(last_full_update * 1000);
|
|
const locale_date = update_time.toLocaleDateString("en-US", {
|
|
year: "numeric",
|
|
month: "long",
|
|
day: "numeric",
|
|
});
|
|
const locale_time = update_time.toLocaleTimeString().replace(":00 ", " ");
|
|
|
|
$("#id_last_full_update").text(locale_time + " on " + locale_date);
|
|
$("#id_last_full_update").closest(".last-update").show();
|
|
}
|
|
|
|
$(() => {
|
|
$('span[data-toggle="tooltip"]').tooltip({
|
|
animation: false,
|
|
placement: "top",
|
|
trigger: "manual",
|
|
});
|
|
$("#id_last_update_question_sign")
|
|
.on("mouseenter", () => {
|
|
$("span.last_update_tooltip").tooltip("show");
|
|
})
|
|
.on("mouseleave", () => {
|
|
$("span.last_update_tooltip").tooltip("hide");
|
|
});
|
|
// Add configuration for any additional tooltips here.
|
|
});
|
|
|
|
function populate_messages_sent_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};
|
|
return {
|
|
human: {
|
|
// 5062a0
|
|
name: i18n.t("Humans"),
|
|
y: values.human,
|
|
marker: {color: "#5f6ea0"},
|
|
...common,
|
|
},
|
|
bot: {
|
|
// a09b5f bbb56e
|
|
name: i18n.t("Bots"),
|
|
y: values.bot,
|
|
marker: {color: "#b7b867"},
|
|
...common,
|
|
},
|
|
me: {
|
|
name: i18n.t("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: "All time"},
|
|
],
|
|
};
|
|
}
|
|
|
|
// This is also the cumulative rangeselector
|
|
const daily_rangeselector = make_rangeselector(
|
|
0.68,
|
|
-0.62,
|
|
{count: 10, label: i18n.t("Last 10 days"), step: "day"},
|
|
{count: 30, label: i18n.t("Last 30 days"), step: "day"},
|
|
);
|
|
const weekly_rangeselector = make_rangeselector(
|
|
0.656,
|
|
-0.62,
|
|
{count: 2, label: i18n.t("Last 2 months"), step: "month"},
|
|
{count: 6, label: i18n.t("Last 6 months"), step: "month"},
|
|
);
|
|
|
|
function add_hover_handler() {
|
|
document.getElementById("id_messages_sent_over_time").on("plotly_hover", (data) => {
|
|
$("#hoverinfo").show();
|
|
document.getElementById("hover_date").innerText =
|
|
data.points[0].data.text[data.points[0].pointNumber];
|
|
const values = [null, null, null];
|
|
data.points.forEach((trace) => {
|
|
values[trace.curveNumber] = trace.y;
|
|
});
|
|
const hover_text_ids = ["hover_me", "hover_human", "hover_bot"];
|
|
const hover_value_ids = ["hover_me_value", "hover_human_value", "hover_bot_value"];
|
|
for (let i = 0; i < values.length; i += 1) {
|
|
if (values[i] !== null) {
|
|
document.getElementById(hover_text_ids[i]).style.display = "inline";
|
|
document.getElementById(hover_value_ids[i]).style.display = "inline";
|
|
document.getElementById(hover_value_ids[i]).innerText = values[i];
|
|
} else {
|
|
document.getElementById(hover_text_ids[i]).style.display = "none";
|
|
document.getElementById(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 = {human: [], bot: [], me: []};
|
|
let current = {human: 0, bot: 0, me: 0};
|
|
let i_init = 0;
|
|
if (is_boundary(start_dates[0])) {
|
|
current = {
|
|
human: data.everyone.human[0],
|
|
bot: data.everyone.bot[0],
|
|
me: data.user.human[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.human.push(current.human);
|
|
values.bot.push(current.bot);
|
|
values.me.push(current.me);
|
|
current = {human: 0, bot: 0, me: 0};
|
|
}
|
|
current.human += data.everyone.human[i];
|
|
current.bot += data.everyone.bot[i];
|
|
current.me += data.user.human[i];
|
|
}
|
|
values.human.push(current.human);
|
|
values.bot.push(current.bot);
|
|
values.me.push(current.me);
|
|
return {
|
|
dates,
|
|
values,
|
|
last_value_is_partial: !is_boundary(
|
|
new Date(start_dates[start_dates.length - 1].getTime() + 60 * 60 * 1000),
|
|
),
|
|
};
|
|
}
|
|
|
|
// Generate traces
|
|
let date_formatter = function (date) {
|
|
return format_date(date, true);
|
|
};
|
|
let values = {me: data.user.human, human: data.everyone.human, bot: data.everyone.bot};
|
|
|
|
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 i18n.t("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 = {
|
|
human: partial_sums(data.everyone.human),
|
|
bot: partial_sums(data.everyone.bot),
|
|
me: partial_sums(data.user.human),
|
|
};
|
|
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) {
|
|
$("#daily_button, #weekly_button, #cumulative_button").removeClass("selected");
|
|
$("#id_messages_sent_over_time > div").removeClass("spinner");
|
|
if (initial_draw) {
|
|
traces.human.visible = true;
|
|
traces.bot.visible = "legendonly";
|
|
traces.me.visible = "legendonly";
|
|
} else {
|
|
const plotDiv = document.getElementById("id_messages_sent_over_time");
|
|
traces.me.visible = plotDiv.data[0].visible;
|
|
traces.human.visible = plotDiv.data[1].visible;
|
|
traces.bot.visible = plotDiv.data[2].visible;
|
|
}
|
|
layout.xaxis.rangeselector = rangeselector;
|
|
if (clicked_cumulative || initial_draw) {
|
|
Plotly.newPlot(
|
|
"id_messages_sent_over_time",
|
|
[traces.me, traces.human, traces.bot],
|
|
layout,
|
|
{displayModeBar: false},
|
|
);
|
|
add_hover_handler();
|
|
} else {
|
|
Plotly.deleteTraces("id_messages_sent_over_time", [0, 1, 2]);
|
|
Plotly.addTraces("id_messages_sent_over_time", [traces.me, traces.human, traces.bot]);
|
|
Plotly.relayout("id_messages_sent_over_time", layout);
|
|
}
|
|
$("#id_messages_sent_over_time").attr("last_value_is_partial", last_value_is_partial);
|
|
}
|
|
|
|
// Click handlers for aggregation buttons
|
|
$("#daily_button").on("click", function () {
|
|
draw_or_update_plot(daily_rangeselector, daily_traces, last_day_is_partial, false);
|
|
$(this).addClass("selected");
|
|
clicked_cumulative = false;
|
|
});
|
|
|
|
$("#weekly_button").on("click", function () {
|
|
draw_or_update_plot(weekly_rangeselector, weekly_traces, last_week_is_partial, false);
|
|
$(this).addClass("selected");
|
|
clicked_cumulative = false;
|
|
});
|
|
|
|
$("#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.human.x.length < 12) {
|
|
draw_or_update_plot(daily_rangeselector, daily_traces, last_day_is_partial, true);
|
|
$("#daily_button").addClass("selected");
|
|
} else {
|
|
draw_or_update_plot(weekly_rangeselector, weekly_traces, last_week_is_partial, true);
|
|
$("#weekly_button").addClass("selected");
|
|
}
|
|
}
|
|
|
|
function round_to_percentages(values, total) {
|
|
return values.map((x) => {
|
|
if (x === total) {
|
|
return "100%";
|
|
}
|
|
if (x === 0) {
|
|
return "0%";
|
|
}
|
|
const unrounded = (x / total) * 100;
|
|
|
|
const precision = Math.min(
|
|
6, // this is the max precision (two #, 4 decimal points; 99.9999%).
|
|
Math.max(
|
|
2, // the minimum amount of precision (40% or 6.0%).
|
|
Math.floor(-Math.log10(100 - unrounded)) + 3,
|
|
),
|
|
);
|
|
|
|
return unrounded.toPrecision(precision) + "%";
|
|
});
|
|
}
|
|
|
|
// Last label will turn into "Other" if time_series data has a label not in labels
|
|
function compute_summary_chart_data(time_series_data, num_steps, labels_) {
|
|
const data = new Map();
|
|
for (const [key, array] of Object.entries(time_series_data)) {
|
|
if (array.length < num_steps) {
|
|
num_steps = array.length;
|
|
}
|
|
let sum = 0;
|
|
for (let i = 1; i <= num_steps; i += 1) {
|
|
sum += array[array.length - i];
|
|
}
|
|
data.set(key, sum);
|
|
}
|
|
const labels = labels_.slice();
|
|
const values = [];
|
|
labels.forEach((label) => {
|
|
if (data.has(label)) {
|
|
values.push(data.get(label));
|
|
data.delete(label);
|
|
} else {
|
|
values.push(0);
|
|
}
|
|
});
|
|
if (data.size !== 0) {
|
|
labels[labels.length - 1] = "Other";
|
|
for (const sum of data.values()) {
|
|
values[labels.length - 1] += sum;
|
|
}
|
|
}
|
|
const total = values.reduce((a, b) => a + b, 0);
|
|
return {
|
|
values,
|
|
labels,
|
|
percentages: round_to_percentages(values, total),
|
|
total,
|
|
};
|
|
}
|
|
|
|
function populate_messages_sent_by_client(data) {
|
|
const layout = {
|
|
width: 750,
|
|
height: null, // set in draw_plot()
|
|
margin: {l: 3, r: 40, b: 40, t: 0},
|
|
font: font_14pt,
|
|
xaxis: {range: null}, // set in draw_plot()
|
|
yaxis: {showticklabels: false},
|
|
showlegend: false,
|
|
};
|
|
|
|
// sort labels so that values are descending in the default view
|
|
const everyone_month = compute_summary_chart_data(
|
|
data.everyone,
|
|
30,
|
|
data.display_order.slice(0, 12),
|
|
);
|
|
const label_values = [];
|
|
for (let i = 0; i < everyone_month.values.length; i += 1) {
|
|
label_values.push({
|
|
label: everyone_month.labels[i],
|
|
value: everyone_month.labels[i] === "Other" ? -1 : everyone_month.values[i],
|
|
});
|
|
}
|
|
label_values.sort((a, b) => b.value - a.value);
|
|
const labels = [];
|
|
label_values.forEach((item) => {
|
|
labels.push(item.label);
|
|
});
|
|
|
|
function make_plot_data(time_series_data, num_steps) {
|
|
const plot_data = compute_summary_chart_data(time_series_data, num_steps, labels);
|
|
plot_data.values.reverse();
|
|
plot_data.labels.reverse();
|
|
plot_data.percentages.reverse();
|
|
const annotations = {values: [], labels: [], text: []};
|
|
for (let i = 0; i < plot_data.values.length; i += 1) {
|
|
if (plot_data.values[i] > 0) {
|
|
annotations.values.push(plot_data.values[i]);
|
|
annotations.labels.push(plot_data.labels[i]);
|
|
annotations.text.push(
|
|
" " + plot_data.labels[i] + " (" + plot_data.percentages[i] + ")",
|
|
);
|
|
}
|
|
}
|
|
return {
|
|
trace: {
|
|
x: plot_data.values,
|
|
y: plot_data.labels,
|
|
type: "bar",
|
|
orientation: "h",
|
|
sort: false,
|
|
textinfo: "text",
|
|
hoverinfo: "none",
|
|
marker: {color: "#537c5e"},
|
|
font: {family: "Source Sans Pro", size: 18, color: "#000000"},
|
|
},
|
|
trace_annotations: {
|
|
x: annotations.values,
|
|
y: annotations.labels,
|
|
mode: "text",
|
|
type: "scatter",
|
|
textposition: "middle right",
|
|
text: annotations.text,
|
|
},
|
|
};
|
|
}
|
|
|
|
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_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] + ")");
|
|
}
|
|
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_str:
|
|
"<b>Total messages:</b> " +
|
|
plot_data.total.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ","),
|
|
};
|
|
}
|
|
|
|
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.getElementById("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_str;
|
|
}
|
|
|
|
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: i18n.t("Last 2 months"), step: "month", stepmode: "backward"},
|
|
{count: 6, label: i18n.t("Last 6 months"), step: "month", stepmode: "backward"},
|
|
{step: "all", label: i18n.t("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: i18n.t("Active users"),
|
|
hoverinfo: "none",
|
|
text,
|
|
visible: true,
|
|
};
|
|
}
|
|
|
|
function add_hover_handler() {
|
|
document.getElementById("id_number_of_users").on("plotly_hover", (data) => {
|
|
$("#users_hover_info").show();
|
|
document.getElementById("users_hover_date").innerText =
|
|
data.points[0].data.text[data.points[0].pointNumber];
|
|
const values = [null, null, null];
|
|
data.points.forEach((trace) => {
|
|
values[trace.curveNumber] = trace.y;
|
|
});
|
|
const hover_value_ids = [
|
|
"users_hover_1day_value",
|
|
"users_hover_15day_value",
|
|
"users_hover_all_time_value",
|
|
];
|
|
for (let i = 0; i < values.length; i += 1) {
|
|
if (values[i] !== null) {
|
|
document.getElementById(hover_value_ids[i]).style.display = "inline";
|
|
document.getElementById(hover_value_ids[i]).innerText = values[i];
|
|
} else {
|
|
document.getElementById(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};
|
|
return {
|
|
everyone: {
|
|
name: i18n.t("Everyone"),
|
|
y: values.everyone,
|
|
marker: {color: "#5f6ea0"},
|
|
...common,
|
|
},
|
|
me: {
|
|
name: i18n.t("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: "All time"},
|
|
],
|
|
};
|
|
}
|
|
|
|
// This is also the cumulative rangeselector
|
|
const daily_rangeselector = make_rangeselector(
|
|
0.68,
|
|
-0.62,
|
|
{count: 10, label: i18n.t("Last 10 days"), step: "day"},
|
|
{count: 30, label: i18n.t("Last 30 days"), step: "day"},
|
|
);
|
|
const weekly_rangeselector = make_rangeselector(
|
|
0.656,
|
|
-0.62,
|
|
{count: 2, label: i18n.t("Last 2 months"), step: "month"},
|
|
{count: 6, label: i18n.t("Last 6 months"), step: "month"},
|
|
);
|
|
|
|
function add_hover_handler() {
|
|
document.getElementById("id_messages_read_over_time").on("plotly_hover", (data) => {
|
|
$("#read_hover_info").show();
|
|
document.getElementById("read_hover_date").innerText =
|
|
data.points[0].data.text[data.points[0].pointNumber];
|
|
const values = [null, null];
|
|
data.points.forEach((trace) => {
|
|
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 (let i = 0; i < values.length; i += 1) {
|
|
if (values[i] !== null) {
|
|
document.getElementById(read_hover_text_ids[i]).style.display = "inline";
|
|
document.getElementById(read_hover_value_ids[i]).style.display = "inline";
|
|
document.getElementById(read_hover_value_ids[i]).innerText = values[i];
|
|
} else {
|
|
document.getElementById(read_hover_text_ids[i]).style.display = "none";
|
|
document.getElementById(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[start_dates.length - 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 i18n.t("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.getElementById("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,
|
|
idempotent: true,
|
|
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,
|
|
);
|