gradio/js/app/test/kitchen_sink.spec.ts
Hannah 75ddeb390d
Accessibility Improvements (#5554)
* allow remove token via keyboard

* more a11y enhancements

* upload + dataset a11y tweaks

* add changeset

* add webcam label

* improve checkbox focus styling and allow interaction via keyboard

* add changeset

* improve radio focus color

* tweak

* add radio label

* add changeset

* add annotated image alt + use button for labels

* button tweaks

* add changeset

* tweak

* more changes

* tiny tweaks

* galley / image

* label tweaks and add semantic tags to confidence

* nit + docstring

* tweak

* add changeset

* fix tests

* unit test fix

* range tweak

* fix alignment in gallery

* range tweak

* slider test tweak

* tweak

* more test fixes

* last? test tweak

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
2023-09-22 14:12:26 +02:00

105 lines
3.4 KiB
TypeScript

import { test, expect } from "@gradio/tootils";
import { BASE64_IMAGE } from "./media_data";
test("test inputs", async ({ page }) => {
const textbox = await page.getByLabel("Textbox").nth(0);
await expect(textbox).toHaveValue("Lorem ipsum");
await textbox.fill("hello world");
await expect(textbox).toHaveValue("hello world");
const textbox2 = await page.getByLabel("Textbox 2");
await textbox2.fill("hello world");
await expect(textbox2).toHaveValue("hello world");
const number = await page.getByLabel("Number").first();
await expect(number).toHaveValue("42");
await number.fill("10");
await expect(number).toHaveValue("10");
// Image Input
const image = await page.locator("input").nth(10);
await image.setInputFiles("./test/files/cheetah1.jpg");
const uploaded_image = await page.locator("img").nth(0);
const image_data = await uploaded_image.getAttribute("src");
await expect(image_data).toContain("cheetah1.jpg");
// Image Input w/ Cropper
const image_cropper = await page.locator("input").nth(10);
await image_cropper.setInputFiles("./test/files/cheetah1.jpg");
const uploaded_image_cropper = await page.locator("img").nth(0);
const image_data_cropper = await uploaded_image_cropper.getAttribute("src");
await expect(image_data_cropper).toContain("cheetah1.jpg");
});
test("test outputs", async ({ page, browser }) => {
const submit_button = await page.locator("button", { hasText: /Submit/ });
await Promise.all([
submit_button.click(),
page.waitForResponse("**/run/predict")
]);
const textbox = await page.getByLabel("Textbox").nth(2);
await expect(textbox).toHaveValue(", selected:foo, bar");
const label = await page.getByTestId("label");
await expect(label).toContainText(
` Label positive positive 74% negative 26% neutral 0%`
);
const highlight_text_color_map = await page
.getByTestId("highlighted-text")
.nth(0);
const highlight_text_legend = await page
.getByTestId("highlighted-text")
.nth(1);
await expect(highlight_text_color_map).toContainText(
" HighlightedText The art quick brown adj fox nn jumped vrb testing testing testing over prp the art testing lazy adj dogs nn . punc test 0 test 0 test 1 test 1 test 2 test 2 test 3 test 3 test 4 test 4 test 5 test 5 test 6 test 6 test 7 test 7 test 8 test 8 test 9 test 9"
);
await expect(highlight_text_legend).toContainText(
"The testing testing testing over the testing lazy dogs . test test test test test test test test test test test test test test test test test test test test"
);
const json = await page.locator("data-testid=json");
await expect(json).toContainText(`{
items: {
item: [
0: {
id: "0001",
type: null,
is_good: false,
ppu: 0.55,
batters: {
batter: expand 4 children
},
topping: [
0: {+2 items} ,
1: {+2 items} ,
2: {+2 items} ,
3: {+2 items} ,
4: {+2 items} ,
5: {+2 items} ,
6: {+2 items}
]
}
]
}
}`);
const image = await page.locator("img").nth(0);
const image_data = await image.getAttribute("src");
await expect(image_data).toEqual(BASE64_IMAGE);
const audio = await page.locator("audio").nth(0);
const audio_data = await audio.getAttribute("src");
await expect(
audio_data?.endsWith(
"gradio/92aff6ffe140da201a4a94cb3c3b9e1ff0b2a25a/cantina.wav"
)
).toBeTruthy();
});