clarity-js
Version:
An analytics library that uses web page interactions to generate aggregated insights
163 lines (157 loc) • 7.21 kB
text/typescript
import { Privacy, Task, type Timer } from "@clarity-types/core";
import { Event, Setting, type Token } from "@clarity-types/data";
import { Constant, type NodeInfo, type NodeValue } from "@clarity-types/layout";
import config from "@src/core/config";
import * as scrub from "@src/core/scrub";
import * as task from "@src/core/task";
import { time } from "@src/core/time";
import * as baseline from "@src/data/baseline";
import tokenize from "@src/data/token";
import { queue } from "@src/data/upload";
import * as fraud from "@src/diagnostic/fraud";
import * as animation from "@src/layout/animation";
import * as doc from "@src/layout/document";
import * as dom from "@src/layout/dom";
import * as region from "@src/layout/region";
import * as style from "@src/layout/style";
export default async function (type: Event, timer: Timer = null, ts: number = null): Promise<void> {
const eventTime = ts || time();
let tokens: Token[] = [eventTime, type];
switch (type) {
case Event.Document: {
const d = doc.data;
tokens.push(d.width);
tokens.push(d.height);
baseline.track(type, d.width, d.height);
queue(tokens);
break;
}
case Event.Region:
for (const r of region.state) {
tokens = [r.time, Event.Region];
tokens.push(r.data.id);
tokens.push(r.data.interaction);
tokens.push(r.data.visibility);
tokens.push(r.data.name);
queue(tokens);
}
region.reset();
break;
case Event.StyleSheetAdoption:
case Event.StyleSheetUpdate:
for (const entry of style.sheetAdoptionState) {
tokens = [entry.time, entry.event];
tokens.push(entry.data.id);
tokens.push(entry.data.operation);
tokens.push(entry.data.newIds);
queue(tokens);
}
for (const entry of style.sheetUpdateState) {
tokens = [entry.time, entry.event];
tokens.push(entry.data.id);
tokens.push(entry.data.operation);
tokens.push(entry.data.cssRules);
queue(tokens);
}
style.reset();
break;
case Event.Animation:
for (const entry of animation.state) {
tokens = [entry.time, entry.event];
tokens.push(entry.data.id);
tokens.push(entry.data.operation);
tokens.push(entry.data.keyFrames);
tokens.push(entry.data.timing);
tokens.push(entry.data.timeline);
tokens.push(entry.data.targetId);
queue(tokens);
}
animation.reset();
break;
case Event.Discover:
case Event.Mutation: {
// Check if we are operating within the context of the current page
if (task.state(timer) === Task.Stop) {
break;
}
const values = dom.updates();
// Only encode and queue DOM updates if we have valid updates to report back
if (values.length > 0) {
for (const value of values) {
let state = task.state(timer);
if (state === Task.Wait) {
state = await task.suspend(timer);
}
if (state === Task.Stop) {
break;
}
const data: NodeInfo = value.data;
const active = value.metadata.active;
const suspend = value.metadata.suspend;
const privacy = value.metadata.privacy;
const mangle = shouldMangle(value);
const keys = active ? ["tag", "attributes", "value"] : ["tag"];
for (const key of keys) {
// we check for data[key] === '' because we want to encode empty strings as well, especially for value - which if skipped can cause our decoder to assume the final
// attribute was the value for the node
if (data[key] || data[key] === "") {
switch (key) {
case "tag": {
const box = size(value);
const factor = mangle ? -1 : 1;
tokens.push(value.id * factor);
if (value.parent && active) {
tokens.push(value.parent);
if (value.previous) {
tokens.push(value.previous);
}
}
tokens.push(suspend ? Constant.SuspendMutationTag : data[key]);
if (box && box.length === 2) {
tokens.push(`${Constant.Hash}${str(box[0])}.${str(box[1])}`);
}
break;
}
case "attributes":
for (const attr in data[key]) {
if (data[key][attr] !== undefined) {
tokens.push(attribute(attr, data[key][attr], privacy));
}
}
break;
case "value":
fraud.check(value.metadata.fraud, value.id, data[key]);
tokens.push(scrub.text(data[key], data.tag, privacy, mangle));
break;
}
}
}
}
if (type === Event.Mutation) {
baseline.activity(eventTime);
}
queue(tokenize(tokens), !config.lean);
}
break;
}
}
}
function shouldMangle(value: NodeValue): boolean {
const privacy = value.metadata.privacy;
return value.data.tag === Constant.TextTag && !(privacy === Privacy.None || privacy === Privacy.Sensitive);
}
function size(value: NodeValue): number[] {
if (value.metadata.size !== null && value.metadata.size.length === 0) {
const img = dom.getNode(value.id) as HTMLImageElement;
if (img) {
return [Math.floor(img.offsetWidth * Setting.BoxPrecision), Math.floor(img.offsetHeight * Setting.BoxPrecision)];
}
}
return value.metadata.size;
}
function str(input: number): string {
return input.toString(36);
}
function attribute(key: string, value: string, privacy: Privacy): string {
return `${key}=${scrub.text(value, key.indexOf(Constant.DataAttribute) === 0 ? Constant.DataAttribute : key, privacy)}`;
}