From 6bf0a5cb5034a7e684dcc3500e841785237ce2dd Mon Sep 17 00:00:00 2001
From: Daniel Baumann <daniel.baumann@progress-linux.org>
Date: Sun, 7 Apr 2024 19:32:43 +0200
Subject: Adding upstream version 1:115.7.0.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
---
 .../tests/browser/browser_textrecognition.js       | 139 +++++++++++++++++++++
 1 file changed, 139 insertions(+)
 create mode 100644 browser/components/textrecognition/tests/browser/browser_textrecognition.js

(limited to 'browser/components/textrecognition/tests/browser/browser_textrecognition.js')

diff --git a/browser/components/textrecognition/tests/browser/browser_textrecognition.js b/browser/components/textrecognition/tests/browser/browser_textrecognition.js
new file mode 100644
index 0000000000..7b7998e651
--- /dev/null
+++ b/browser/components/textrecognition/tests/browser/browser_textrecognition.js
@@ -0,0 +1,139 @@
+/* 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();
+  });
+});
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