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/* Any copyright is dedicated to the Public Domain.
http://creativecommons.org/publicdomain/zero/1.0/ */
"use strict";
add_task(async function() {
const URL_IMG =
"http://mochi.test:8888/browser/browser/components/textrecognition/tests/browser/image.png";
await SpecialPowers.pushPrefEnv({
set: [["dom.text-recognition.enabled", true]],
});
clearTelemetry();
await BrowserTestUtils.withNewTab(URL_IMG, async function(browser) {
setClipboardText("");
is(getTextFromClipboard(), "", "The copied text is empty.");
ok(
!getTelemetryScalars()["browser.ui.interaction.content_context"],
"No telemetry has been recorded yet."
);
is(
Services.telemetry
.getHistogramById("TEXT_RECOGNITION_API_PERFORMANCE")
.snapshot().sum,
0,
"No histogram timing was recorded."
);
info("Right click image to show context menu.");
let popupShownPromise = BrowserTestUtils.waitForEvent(
document,
"popupshown"
);
await BrowserTestUtils.synthesizeMouseAtCenter(
"img",
{ type: "contextmenu", button: 2 },
browser
);
await popupShownPromise;
info("Click context menu to copy the image text.");
document.getElementById("context-imagetext").doCommand();
info("Close the context menu.");
let contextMenu = document.getElementById("contentAreaContextMenu");
let popupHiddenPromise = BrowserTestUtils.waitForEvent(
contextMenu,
"popuphidden"
);
contextMenu.hidePopup();
await popupHiddenPromise;
info("Waiting for the dialog browser to be shown.");
const { contentDocument } = await BrowserTestUtils.waitForCondition(() =>
document.querySelector(".textRecognitionDialogFrame")
);
{
info("Check the scalar telemetry.");
const scalars = await BrowserTestUtils.waitForCondition(() =>
getTelemetryScalars()
);
const contentContext = scalars["browser.ui.interaction.content_context"];
ok(contentContext, "Opening the context menu was recorded.");
is(contentContext["context-imagetext"], 1, "Telemetry has been recorded");
}
info("Waiting for text results.");
const resultsHeader = contentDocument.querySelector(
"#text-recognition-header-results"
);
await BrowserTestUtils.waitForCondition(() => {
return resultsHeader.style.display !== "none";
});
const expectedResultText = "Mozilla\n\nFirefox";
{
info("Check the text results.");
const text = contentDocument.querySelector(".textRecognitionText");
is(text.children.length, 2, "Two piece of text were found");
const [p1, p2] = text.children;
is(p1.tagName, "P", "The children are paragraph tags.");
is(p2.tagName, "P", "The children are paragraph tags.");
is(p1.innerText, "Mozilla", "The first piece of text matches.");
is(p2.innerText, "Firefox", "The second piece of text matches.");
const clipboardText = getTextFromClipboard();
is(clipboardText, expectedResultText, "The copied text matches.");
is(
clipboardText,
text.innerText,
"The copied text and the text elements innerText match."
);
}
ok(
Services.telemetry
.getHistogramById("TEXT_RECOGNITION_API_PERFORMANCE")
.snapshot().sum > 0,
"Text recognition API performance was recorded."
);
info("Close the dialog box.");
const close = contentDocument.querySelector("#text-recognition-close");
close.click();
is(
Services.telemetry
.getHistogramById("TEXT_RECOGNITION_TEXT_LENGTH")
.snapshot().sum,
expectedResultText.length,
"The length of the text was recorded."
);
info("Waiting for the dialog frame to close.");
await BrowserTestUtils.waitForCondition(
() => !document.querySelector(".textRecognitionDialogFrame")
);
info("Check for interaction telemetry.");
const timing = await BrowserTestUtils.waitForCondition(() => {
const { sum } = Services.telemetry
.getHistogramById("TEXT_RECOGNITION_INTERACTION_TIMING")
.snapshot();
if (sum > 0) {
return sum;
}
return false;
});
ok(timing > 0, "Interaction timing was measured.");
setClipboardText("");
clearTelemetry();
});
});
|
