WebRenderBench / scripts /1_get_evalutation.py
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# %%
import os
import sys
import json
import time
import asyncio
import logging
from pathlib import Path
from tqdm.asyncio import tqdm
from argparse import ArgumentParser
from playwright.async_api import async_playwright
cmd_args = True
parser = ArgumentParser()
parser.add_argument('--test_dir', default='./test_webpages', help='the directory of test webpages.')
parser.add_argument('--inference_dir', default='./inference', help='the directory of model output webpages.')
parser.add_argument('--save_dir', default='./save_results', help='the directory for saving result info jsonl file.')
parser.add_argument('--model_name', default="Qwen2.5-VL-32B-Instruct", help='using the vlms for your inference')
parser.add_argument('--num_workers', default=50, help='num workers for computing')
parser.add_argument('--log_dir', default='./', help='num workers for computing')
if not cmd_args:
args = parser.parse_args([]) # You can directly set above parameters in the default.
else:
args = parser.parse_args()
MODEL_NAME = os.path.basename(args.model_name)
LOG_PATH = os.path.join(args.log_dir, f'get_evaluation_{MODEL_NAME}.log')
INFERENCE_DIR = args.inference_dir
ORI_DIR = args.test_dir
SAVE_PATH = os.path.join(args.save_dir, {MODEL_NAME}.jsonl)
# 启动时预加载一次
with open("./scripts/js/vue.global.js", "r", encoding="utf-8") as f:
vue_code = f.read()
with open("./scripts/js/one-color-all.js", "r", encoding="utf-8") as f:
one_color_code = f.read()
with open("./scripts/js/codeSim.js", "r", encoding="utf-8") as f:
codesim_code = f.read()
# Worker数量
NUM_WORKERS = args.num_workers
def setup_logger(is_console_handler=True):
logger = logging.getLogger('web_scraping')
logger.setLevel(logging.INFO)
file_handler = logging.FileHandler(LOG_PATH)
file_handler.setLevel(logging.INFO)
if is_console_handler:
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(logging.INFO)
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
file_handler.setFormatter(formatter)
if is_console_handler:
console_handler.setFormatter(formatter)
logger.addHandler(file_handler)
if is_console_handler:
logger.addHandler(console_handler)
return logger
cache = []
file_lock = asyncio.Lock()
async def save_result(name, layoutSim, styleSim, force=False):
if force:
async with file_lock:
with open(SAVE_PATH, 'a') as f:
for c in cache:
f.write(json.dumps(c) + '\n')
cache.clear()
return 0
save_item = {
'name': name,
'groupLayoutScore': layoutSim['groupLayoutScore'],
'overallScore': layoutSim['overallScore'],
'relativeLayoutScore': layoutSim['relativeLayoutScore'],
'relativeStyleScore': styleSim['relativeStyleScore']
}
cache.append(save_item)
if len(cache) >= NUM_WORKERS:
async with file_lock:
with open(SAVE_PATH, 'a') as f:
for c in cache:
f.write(json.dumps(c) + '\n')
cache.clear()
async def worker(name, queue, browser, logger, pbar):
while not queue.empty():
html_item = await queue.get()
name = os.path.splitext(html_item)[0]
source_html_path = os.path.join(INFERENCE_DIR, f"{name}.html")
target_html_path = os.path.join(ORI_DIR, name, "index.html")
if not os.path.exists(source_html_path):
logger.error(f"❌ File not Exsits: {source_html_path}")
queue.task_done()
pbar.update(1)
continue
if not os.path.exists(target_html_path):
logger.error(f"❌ File not Exsits: {target_html_path}")
queue.task_done()
pbar.update(1)
continue
logger.info(
f"⭐ push {source_html_path}")
file_url = Path(source_html_path).as_uri()
start_time = time.perf_counter()
page = await browser.new_page(viewport={'width': 1920, 'height': 1080})
try:
try:
await page.goto(
file_url,
timeout=10000,
wait_until='domcontentloaded'
)
except Exception as e:
logger.error(f"⚠ Loading: {file_url}, Error: {e}")
await page.add_script_tag(content=vue_code)
await page.add_script_tag(content=one_color_code)
await page.add_script_tag(content=codesim_code)
sources = await page.evaluate("() => getElements()")
elapsed = time.perf_counter() - start_time
logger.info(
f"✅ Source computed complete {source_html_path}, element count: {len(sources)} time: {elapsed:.2f}")
except Exception as e:
logger.error(f"❌ Source computed failed: {source_html_path}, Error: {e}")
finally:
await page.close()
file_url = Path(target_html_path).as_uri()
sec_start_time = time.perf_counter()
page = await browser.new_page(viewport={'width': 1920, 'height': 1080})
# Listen console
# page.on("console", lambda msg: print(f"Console: {msg.type} - {msg.text}"))
try:
try:
await page.goto(
file_url,
timeout=3000,
wait_until='domcontentloaded'
)
except Exception as e:
logger.error(f"⚠ Loading: {file_url}, Error: {e}")
await page.add_script_tag(content=vue_code)
await page.add_script_tag(content=one_color_code)
await page.add_script_tag(content=codesim_code)
await page.evaluate("() => targetEls.value = getElements(false)")
layoutSim = await page.evaluate("(sources) => getLayoutSim(sources)", sources)
styleSim = await page.evaluate("(sources) => getStyleSim(sources)", sources)
await save_result(name, layoutSim, styleSim)
elapsed_total = time.perf_counter() - start_time
elapsed = time.perf_counter() - sec_start_time
logger.info(
f"✅ Target computed complete {target_html_path}, layoutSim: {layoutSim['overallScore']}, styleSim: {styleSim['relativeStyleScore']}, element_count: {len(sources)} time: {elapsed:.2f} total_time: {elapsed_total:.2f}")
except Exception as e:
logger.error(f"❌ Target computed failed: {target_html_path}, Error: {e}")
finally:
await page.close()
queue.task_done()
pbar.update(1)
async def main():
# Construct Task Queue
logger = setup_logger(False)
source_list = os.listdir(INFERENCE_DIR)
len_total = len(source_list)
print('Total: ', len_total)
exists_meta = []
if os.path.exists(SAVE_PATH):
with open(SAVE_PATH) as f:
exists_data = f.readlines()
exists_data = [json.loads(item) for item in exists_data]
for meta_info in exists_data:
name = meta_info.get("name", 'none')
exists_meta.append(name + '.html')
exists_meta = set(exists_meta)
source_list = [h for h in source_list if h not in exists_meta]
print(
f"Found: {len(exists_meta)} Matched: {len_total - len(source_list)} Remain: {len(source_list)}")
# random.shuffle(source_list)
queue = asyncio.Queue()
for html_item in source_list:
await queue.put(html_item)
async with async_playwright() as p:
browser_list = []
for i in range(NUM_WORKERS):
browser = await p.chromium.launch(headless=True, args=['--no-sandbox', '--disable-setuid-sandbox'])
browser_list.append(browser)
print('Browser Started')
with tqdm(total=len(source_list), desc="Progress") as pbar:
tasks = []
for i in range(NUM_WORKERS):
browser = browser_list[i % len(browser_list)]
tasks.append(asyncio.create_task(
worker(f"worker-{i}", queue, browser, logger, pbar)))
await queue.join()
for t in tasks:
t.cancel()
for browser in browser_list:
await browser.close()
save_result(None, None, None, True)
if __name__ == "__main__":
asyncio.run(main())
# await main()