Files
browser-use/browser_use/dom/service.py
2025-05-23 00:58:09 -07:00

220 lines
6.2 KiB
Python

import logging
from dataclasses import dataclass
from importlib import resources
from typing import TYPE_CHECKING
from urllib.parse import urlparse
if TYPE_CHECKING:
from playwright.async_api import Page
from browser_use.dom.views import (
DOMBaseNode,
DOMElementNode,
DOMState,
DOMTextNode,
SelectorMap,
)
from browser_use.utils import time_execution_async
logger = logging.getLogger(__name__)
@dataclass
class ViewportInfo:
width: int
height: int
class DomService:
def __init__(self, page: 'Page'):
self.page = page
self.xpath_cache = {}
self.js_code = resources.files('browser_use.dom').joinpath('buildDomTree.js').read_text()
# region - Clickable elements
@time_execution_async('--get_clickable_elements')
async def get_clickable_elements(
self,
highlight_elements: bool = True,
focus_element: int = -1,
viewport_expansion: int = 0,
) -> DOMState:
element_tree, selector_map = await self._build_dom_tree(highlight_elements, focus_element, viewport_expansion)
return DOMState(element_tree=element_tree, selector_map=selector_map)
@time_execution_async('--get_cross_origin_iframes')
async def get_cross_origin_iframes(self) -> list[str]:
# invisible cross-origin iframes are used for ads and tracking, dont open those
hidden_frame_urls = await self.page.locator('iframe').filter(visible=False).evaluate_all('e => e.map(e => e.src)')
is_ad_url = lambda url: any(
domain in urlparse(url).netloc for domain in ('doubleclick.net', 'adroll.com', 'googletagmanager.com')
)
return [
frame.url
for frame in self.page.frames
if urlparse(frame.url).netloc # exclude data:urls and about:blank
and urlparse(frame.url).netloc != urlparse(self.page.url).netloc # exclude same-origin iframes
and frame.url not in hidden_frame_urls # exclude hidden frames
and not is_ad_url(frame.url) # exclude most common ad network tracker frame URLs
]
@time_execution_async('--build_dom_tree')
async def _build_dom_tree(
self,
highlight_elements: bool,
focus_element: int,
viewport_expansion: int,
) -> tuple[DOMElementNode, SelectorMap]:
if await self.page.evaluate('1+1') != 2:
raise ValueError('The page cannot evaluate javascript code properly')
if self.page.url == 'about:blank':
# short-circuit if the page is a new empty tab for speed, no need to inject buildDomTree.js
return (
DOMElementNode(
tag_name='body',
xpath='',
attributes={},
children=[],
is_visible=False,
parent=None,
),
{},
)
# NOTE: We execute JS code in the browser to extract important DOM information.
# The returned hash map contains information about the DOM tree and the
# relationship between the DOM elements.
debug_mode = logger.getEffectiveLevel() == logging.DEBUG
args = {
'doHighlightElements': highlight_elements,
'focusHighlightIndex': focus_element,
'viewportExpansion': viewport_expansion,
'debugMode': debug_mode,
}
try:
eval_page: dict = await self.page.evaluate(self.js_code, args)
except Exception as e:
logger.error('Error evaluating JavaScript: %s', e)
raise
# Only log performance metrics in debug mode
if debug_mode and 'perfMetrics' in eval_page:
perf = eval_page['perfMetrics']
# Get key metrics for summary
total_nodes = perf.get('nodeMetrics', {}).get('totalNodes', 0)
# processed_nodes = perf.get('nodeMetrics', {}).get('processedNodes', 0)
# Count interactive elements from the DOM map
interactive_count = 0
if 'map' in eval_page:
for node_data in eval_page['map'].values():
if isinstance(node_data, dict) and node_data.get('isInteractive'):
interactive_count += 1
# Create concise summary
url_short = self.page.url[:50] + '...' if len(self.page.url) > 50 else self.page.url
logger.debug(
'🔎 Ran buildDOMTree.js interactive element detection on: %s interactive=%d/%d',
url_short,
interactive_count,
total_nodes,
# processed_nodes,
)
return await self._construct_dom_tree(eval_page)
@time_execution_async('--construct_dom_tree')
async def _construct_dom_tree(
self,
eval_page: dict,
) -> tuple[DOMElementNode, SelectorMap]:
js_node_map = eval_page['map']
js_root_id = eval_page['rootId']
selector_map = {}
node_map = {}
for id, node_data in js_node_map.items():
node, children_ids = self._parse_node(node_data)
if node is None:
continue
node_map[id] = node
if isinstance(node, DOMElementNode) and node.highlight_index is not None:
selector_map[node.highlight_index] = node
# NOTE: We know that we are building the tree bottom up
# and all children are already processed.
if isinstance(node, DOMElementNode):
for child_id in children_ids:
if child_id not in node_map:
continue
child_node = node_map[child_id]
child_node.parent = node
node.children.append(child_node)
html_to_dict = node_map[str(js_root_id)]
del node_map
del js_node_map
del js_root_id
if html_to_dict is None or not isinstance(html_to_dict, DOMElementNode):
raise ValueError('Failed to parse HTML to dictionary')
return html_to_dict, selector_map
def _parse_node(
self,
node_data: dict,
) -> tuple[DOMBaseNode | None, list[int]]:
if not node_data:
return None, []
# Process text nodes immediately
if node_data.get('type') == 'TEXT_NODE':
text_node = DOMTextNode(
text=node_data['text'],
is_visible=node_data['isVisible'],
parent=None,
)
return text_node, []
# Process coordinates if they exist for element nodes
viewport_info = None
if 'viewport' in node_data:
viewport_info = ViewportInfo(
width=node_data['viewport']['width'],
height=node_data['viewport']['height'],
)
element_node = DOMElementNode(
tag_name=node_data['tagName'],
xpath=node_data['xpath'],
attributes=node_data.get('attributes', {}),
children=[],
is_visible=node_data.get('isVisible', False),
is_interactive=node_data.get('isInteractive', False),
is_top_element=node_data.get('isTopElement', False),
is_in_viewport=node_data.get('isInViewport', False),
highlight_index=node_data.get('highlightIndex'),
shadow_root=node_data.get('shadowRoot', False),
parent=None,
viewport_info=viewport_info,
)
children_ids = node_data.get('children', [])
return element_node, children_ids