Datasets:
File size: 2,609 Bytes
8c28d25 bc77c74 8c28d25 bc77c74 8c28d25 bc77c74 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import asyncio, os
import subprocess, sys
from playwright.async_api import async_playwright
# install browser binary first
subprocess.run([sys.executable, "-m", "playwright", "install", "chromium"], check=True, capture_output=True)
S = "https://bep40-vai-avatar2.hf.space"
async def main():
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True, args=["--no-sandbox","--disable-dev-shm-usage"])
ctx = await browser.new_context(viewport={"width":1280,"height":900})
page = await ctx.new_page()
await page.goto(S, wait_until="domcontentloaded", timeout=60000)
await page.wait_for_timeout(6000)
# open Catalogue AI (welcome button or window API)
try:
await page.evaluate("window.openCatalogueAI && window.openCatalogueAI()")
except Exception as e:
print("open err", str(e)[:100])
await page.wait_for_timeout(5000)
# type search
try:
await page.fill("#cai-q", "kệ nâng hạ")
await page.click("#cai-sb")
except Exception as e:
print("fill err", str(e)[:100])
await page.wait_for_timeout(4000)
# screenshot whole page
shot = await page.screenshot(full_page=False)
os.makedirs("/tmp/shots", exist_ok=True)
open("/tmp/shots/search.png","wb").write(shot)
print("screenshot bytes:", len(shot))
# also dump the carousel card texts + img src lengths (from DOM)
info = await page.evaluate("""() => {
const cards = [...document.querySelectorAll('#cai-car > div')];
return cards.map(c => {
const img = c.querySelector('img');
const txt = c.innerText.split('\\n').slice(0,3).join(' | ');
return { txt, imgLen: img ? (img.src.length) : 0, imgPrefix: img ? img.src.slice(0,30) : '' };
});
}""")
for i, c in enumerate(info):
print(f"card{i}: {c['txt']} imgLen={c['imgLen']} prefix={c['imgPrefix']}")
# upload screenshot
from huggingface_hub import HfApi
api = HfApi(token=os.environ["HF_TOKEN"], endpoint="https://huggingface.co")
api.upload_file(path_or_fileobj=shot, path_in_repo="debug_live/browser_search.png",
repo_id="bep40/grob-products-updated", repo_type="dataset",
commit_message="headless browser search kệ nâng hạ screenshot")
await browser.close()
subprocess.run([sys.executable, "-m", "playwright", "install", "chromium"], check=True, capture_output=True)
asyncio.run(main())
print("DONE") |