How to use test_accessibility_autocomplete method in Playwright Python

I found out that the problem was i was trying to close the context before closing the page first, and that was the thing which raises unhandleable exceptions. The solution is replacing the close_playwright() function with this:

def close_playwright():

    page.close()
    context.close()
    browser.close()
    playwright.dispose()

Heroku's filesystem is both ephemeral and dyno-local. Any changes made to it are lost when the dyno restarts. More importantly at the moment, when you run something like heroku run bash you don't connect to a running dyno. Instead, you get a separate one-off dyno.

Installing Chromium (or making any other filesystem changes) in such an environment will never affect what is available in your other dynos.

It looks like Playwright really wants to manage its own browser binaries. Your best bet might be to run playwright install near the beginning of your script, e.g. something like this:

import subprocess
from playwright.sync_api import sync_playwright

subprocess.run(["playwright", "install"])

with sync_playwright() as playwright:
    # ...

This should make sure that the required binaries are always available at runtime.

You can ask for the class name of the element.

page.locator("div").evaluate("node => node.className")

The download.path() in playwright is just a random GUID (globally unique identifier). It's designed to validate the download works - not to keep the file.

Playwright is a testing tool and imagine running tests across every major browser on every code change - any downloads would quickly take up a lot of space and it would hack people off if you need to manually clear them out.

Good news is you are very close - If you want to keep the file you just need to give the file a name in the save_as.

instead of this:

   download.save_as(path)

use this:

   download.save_as(download.suggested_filename)

That saves the file in the same location as the script.

You can use the Playwright APIRequestContext feature.

response = await api_request_context.post(...)

https://www.piwheels.org is where wheels for Raspberry Pi are published, not PyPI. This is the list of wheels for "playwright": https://www.piwheels.org/project/playwright/ . Version 0.162.2 is the latest available release (click on "Show more releases").

To install from PyPI try to install from both PyPI and PiWheels:

pip install --index-url=https://pypi.org/simple/ --extra-index-url=https://www.piwheels.org/simple/ playwright

I guess you are using codegen probably.

That page is a little bit strange for urls as I can see.

Anyways, I fixed your code:

from playwright.sync_api import Playwright, sync_playwright, expect


def run(playwright: Playwright) -> None:
    browser = playwright.chromium.launch(headless=False)
    context = browser.new_context()

    # Open new page
    page = context.new_page()

    # Go to https://www.elections.il.gov/CampaignDisclosure/ContributionSearchByCommittees.aspx?T=637994490317517425
    page.goto(
        "https://www.elections.il.gov/CampaignDisclosure/ContributionSearchByCommittees.aspx")

    # Fill input[name="ctl00\$ContentPlaceHolder1\$txtCmteID"]
    page.locator("input[name=\"ctl00\\$ContentPlaceHolder1\\$txtCmteID\"]").fill("34589")

    page.locator("input:has-text(\"Search\")").click()

    page.locator("text=Download This List").click()

    # Click text=CSV File
    with page.expect_download() as download_info:
        page.locator("text=CSV File").click()
    download = download_info.value
    download.save_as(download.suggested_filename)


    # ---------------------
    context.close()
    browser.close()


with sync_playwright() as playwright:
    run(playwright)

Referencing this:

1. pip install --upgrade pip
   

2. pip uninstall playwright
   

3. pip install playwright
   

4. Change to your script directory

5. playwright install
   

Not sure about Colab, but in a normal Jupyter notebook you do:

import nest_asyncio
nest_asyncio.apply()

Install with pip install nest-asyncio, and then you can run async stuff in a notebook.

Edit: You are also trying to run a GUI instance of Chrome, with that headless=False - change that to headless=True, Colab doens't run with a GUI.