Files
browser-use/browser_use/browser/python_highlights.py
Magnus Müller a31ae9dffb Refactor bounding box drawing and enhance LLM text representation
- Removed the `_raise_if_stopped_or_paused` method from the `Agent` class to streamline functionality.
- Updated `draw_enhanced_bounding_box_with_text` to improve font size and padding for better visibility of index boxes.
- Introduced `get_meaningful_text_for_llm` method in `EnhancedDOMTreeNode` to provide more relevant text for LLM processing.
- Enhanced `llm_representation` method with observability features for better debugging.
2025-08-29 21:30:11 -07:00

459 lines
15 KiB
Python

"""Python-based highlighting system for drawing bounding boxes on screenshots.
This module replaces JavaScript-based highlighting with fast Python image processing
to draw bounding boxes around interactive elements directly on screenshots.
"""
import base64
import io
import logging
from typing import Optional, Tuple
from PIL import Image, ImageDraw, ImageFont
from browser_use.dom.views import DOMSelectorMap
from browser_use.observability import observe_debug
logger = logging.getLogger(__name__)
# Color scheme for different element types
ELEMENT_COLORS = {
'button': '#FF6B6B', # Red for buttons
'input': '#4ECDC4', # Teal for inputs
'select': '#45B7D1', # Blue for dropdowns
'a': '#96CEB4', # Green for links
'textarea': '#FF8C42', # Orange for text areas (was yellow, now more visible)
'default': '#DDA0DD', # Light purple for other interactive elements
}
# Element type mappings
ELEMENT_TYPE_MAP = {
'button': 'button',
'input': 'input',
'select': 'select',
'a': 'a',
'textarea': 'textarea',
}
def get_element_color(tag_name: str, element_type: Optional[str] = None) -> str:
"""Get color for element based on tag name and type."""
# Check input type first
if tag_name == 'input' and element_type:
if element_type in ['button', 'submit']:
return ELEMENT_COLORS['button']
# Use tag-based color
return ELEMENT_COLORS.get(tag_name.lower(), ELEMENT_COLORS['default'])
def should_show_index_overlay(element_index: Optional[int]) -> bool:
"""Determine if index overlay should be shown."""
return element_index is not None
def draw_enhanced_bounding_box_with_text(
draw, # ImageDraw.Draw - avoiding type annotation due to PIL typing issues
bbox: Tuple[int, int, int, int],
color: str,
text: Optional[str] = None,
font: Optional[ImageFont.FreeTypeFont] = None,
element_type: str = 'div',
image_size: Tuple[int, int] = (2000, 1500),
) -> None:
"""Draw an enhanced bounding box with much bigger index containers and dashed borders."""
x1, y1, x2, y2 = bbox
# Draw dashed bounding box with pattern: 1 line, 2 spaces, 1 line, 2 spaces...
dash_length = 4
gap_length = 8
line_width = 2
# Helper function to draw dashed line
def draw_dashed_line(start_x, start_y, end_x, end_y):
if start_x == end_x: # Vertical line
y = start_y
while y < end_y:
dash_end = min(y + dash_length, end_y)
draw.line([(start_x, y), (start_x, dash_end)], fill=color, width=line_width)
y += dash_length + gap_length
else: # Horizontal line
x = start_x
while x < end_x:
dash_end = min(x + dash_length, end_x)
draw.line([(x, start_y), (dash_end, start_y)], fill=color, width=line_width)
x += dash_length + gap_length
# Draw dashed rectangle
draw_dashed_line(x1, y1, x2, y1) # Top
draw_dashed_line(x2, y1, x2, y2) # Right
draw_dashed_line(x2, y2, x1, y2) # Bottom
draw_dashed_line(x1, y2, x1, y1) # Left
# Draw much bigger index overlay if we have index text
if text:
try:
# Use much bigger font size for visible index boxes
big_font = None
font_size = 30 # Much bigger, more visible size
try:
big_font = ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf', font_size)
except (OSError, IOError):
try:
big_font = ImageFont.truetype('arial.ttf', font_size)
except (OSError, IOError):
# Try system fonts on different platforms
try:
big_font = ImageFont.truetype('Arial Bold.ttf', font_size)
except (OSError, IOError):
big_font = font # Fallback to original font
# Get text size with bigger font
if big_font:
bbox_text = draw.textbbox((0, 0), text, font=big_font)
text_width = bbox_text[2] - bbox_text[0]
text_height = bbox_text[3] - bbox_text[1]
else:
# Fallback for default font
bbox_text = draw.textbbox((0, 0), text)
text_width = bbox_text[2] - bbox_text[0]
text_height = bbox_text[3] - bbox_text[1]
# Bigger padding for more prominent index boxes
padding = 8
element_width = x2 - x1
element_height = y2 - y1
# Container dimensions
container_width = text_width + padding * 2
container_height = text_height + padding * 2
# Position in top-left corner (inside if fits, outside if too small)
if element_width >= container_width and element_height >= container_height:
# Place inside top-left corner
bg_x1 = x1 + 2 # Small offset from edge
bg_y1 = y1 + 2
else:
# Place outside top-left corner
bg_x1 = x1
bg_y1 = max(0, y1 - container_height)
bg_x2 = bg_x1 + container_width
bg_y2 = bg_y1 + container_height
# Center the number within the index box
text_x = bg_x1 + (container_width - text_width) // 2
text_y = bg_y1 + (container_height - text_height) // 2
# Ensure container stays within image bounds
img_width, img_height = image_size
if bg_x1 < 0:
offset = -bg_x1
bg_x1 += offset
bg_x2 += offset
text_x += offset
if bg_y1 < 0:
offset = -bg_y1
bg_y1 += offset
bg_y2 += offset
text_y += offset
if bg_x2 > img_width:
offset = bg_x2 - img_width
bg_x1 -= offset
bg_x2 -= offset
text_x -= offset
if bg_y2 > img_height:
offset = bg_y2 - img_height
bg_y1 -= offset
bg_y2 -= offset
text_y -= offset
# Draw bigger background rectangle with thicker border
draw.rectangle([bg_x1, bg_y1, bg_x2, bg_y2], fill=color, outline='white', width=2)
# Draw white text centered in the index box
draw.text((text_x, text_y), text, fill='white', font=big_font or font)
except Exception as e:
logger.debug(f'Failed to draw enhanced text overlay: {e}')
def draw_bounding_box_with_text(
draw, # ImageDraw.Draw - avoiding type annotation due to PIL typing issues
bbox: Tuple[int, int, int, int],
color: str,
text: Optional[str] = None,
font: Optional[ImageFont.FreeTypeFont] = None,
) -> None:
"""Draw a bounding box with optional text overlay."""
x1, y1, x2, y2 = bbox
# Draw dashed bounding box
dash_length = 2
gap_length = 6
# Top edge
x = x1
while x < x2:
end_x = min(x + dash_length, x2)
draw.line([(x, y1), (end_x, y1)], fill=color, width=2)
draw.line([(x, y1 + 1), (end_x, y1 + 1)], fill=color, width=2)
x += dash_length + gap_length
# Bottom edge
x = x1
while x < x2:
end_x = min(x + dash_length, x2)
draw.line([(x, y2), (end_x, y2)], fill=color, width=2)
draw.line([(x, y2 - 1), (end_x, y2 - 1)], fill=color, width=2)
x += dash_length + gap_length
# Left edge
y = y1
while y < y2:
end_y = min(y + dash_length, y2)
draw.line([(x1, y), (x1, end_y)], fill=color, width=2)
draw.line([(x1 + 1, y), (x1 + 1, end_y)], fill=color, width=2)
y += dash_length + gap_length
# Right edge
y = y1
while y < y2:
end_y = min(y + dash_length, y2)
draw.line([(x2, y), (x2, end_y)], fill=color, width=2)
draw.line([(x2 - 1, y), (x2 - 1, end_y)], fill=color, width=2)
y += dash_length + gap_length
# Draw index overlay if we have index text
if text:
try:
# Get text size
if font:
bbox_text = draw.textbbox((0, 0), text, font=font)
text_width = bbox_text[2] - bbox_text[0]
text_height = bbox_text[3] - bbox_text[1]
else:
# Fallback for default font
bbox_text = draw.textbbox((0, 0), text)
text_width = bbox_text[2] - bbox_text[0]
text_height = bbox_text[3] - bbox_text[1]
# Smart positioning based on element size
padding = 5
element_width = x2 - x1
element_height = y2 - y1
element_area = element_width * element_height
index_box_area = (text_width + padding * 2) * (text_height + padding * 2)
# Calculate size ratio to determine positioning strategy
size_ratio = element_area / max(index_box_area, 1)
if size_ratio < 4:
# Very small elements: place outside in bottom-right corner
text_x = x2 + padding
text_y = y2 - text_height
# Ensure it doesn't go off screen
text_x = min(text_x, 1200 - text_width - padding)
text_y = max(text_y, 0)
elif size_ratio < 16:
# Medium elements: place in bottom-right corner inside
text_x = x2 - text_width - padding
text_y = y2 - text_height - padding
else:
# Large elements: place in center
text_x = x1 + (element_width - text_width) // 2
text_y = y1 + (element_height - text_height) // 2
# Ensure text stays within bounds
text_x = max(0, min(text_x, 1200 - text_width))
text_y = max(0, min(text_y, 800 - text_height))
# Draw background rectangle for maximum contrast
bg_x1 = text_x - padding
bg_y1 = text_y - padding
bg_x2 = text_x + text_width + padding
bg_y2 = text_y + text_height + padding
# Use white background with thick black border for maximum visibility
draw.rectangle([bg_x1, bg_y1, bg_x2, bg_y2], fill='white', outline='black', width=2)
# Draw bold dark text on light background for best contrast
draw.text((text_x, text_y), text, fill='black', font=font)
except Exception as e:
logger.debug(f'Failed to draw text overlay: {e}')
@observe_debug(ignore_input=True, ignore_output=True, name='create_highlighted_screenshot')
def create_highlighted_screenshot(
screenshot_b64: str,
selector_map: DOMSelectorMap,
device_pixel_ratio: float = 1.0,
viewport_offset_x: int = 0,
viewport_offset_y: int = 0,
filter_highlight_ids: bool = True,
) -> str:
"""Create a highlighted screenshot with bounding boxes around interactive elements.
Args:
screenshot_b64: Base64 encoded screenshot
selector_map: Map of interactive elements with their positions
device_pixel_ratio: Device pixel ratio for scaling coordinates
viewport_offset_x: X offset for viewport positioning
viewport_offset_y: Y offset for viewport positioning
Returns:
Base64 encoded highlighted screenshot
"""
try:
# Decode screenshot
screenshot_data = base64.b64decode(screenshot_b64)
image = Image.open(io.BytesIO(screenshot_data)).convert('RGBA')
# Create drawing context
draw = ImageDraw.Draw(image)
# Try to load a font, fall back to default if not available
font = None
try:
font = ImageFont.truetype('/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf', 12)
except (OSError, IOError):
try:
font = ImageFont.truetype('arial.ttf', 12)
except (OSError, IOError):
font = None # Use default font
# Process each interactive element
for element_id, element in selector_map.items():
try:
# Use absolute_position coordinates directly
if not element.absolute_position:
continue
bounds = element.absolute_position
# Scale coordinates from CSS pixels to device pixels for screenshot
# The screenshot is captured at device pixel resolution, but coordinates are in CSS pixels
x1 = int(bounds.x * device_pixel_ratio)
y1 = int(bounds.y * device_pixel_ratio)
x2 = int((bounds.x + bounds.width) * device_pixel_ratio)
y2 = int((bounds.y + bounds.height) * device_pixel_ratio)
# Ensure coordinates are within image bounds
img_width, img_height = image.size
x1 = max(0, min(x1, img_width))
y1 = max(0, min(y1, img_height))
x2 = max(x1, min(x2, img_width))
y2 = max(y1, min(y2, img_height))
# Skip if bounding box is too small or invalid
if x2 - x1 < 2 or y2 - y1 < 2:
continue
# Get element color based on type
tag_name = element.tag_name if hasattr(element, 'tag_name') else 'div'
element_type = None
if hasattr(element, 'attributes') and element.attributes:
element_type = element.attributes.get('type')
color = get_element_color(tag_name, element_type)
# Get element index for overlay and apply filtering
element_index = getattr(element, 'element_index', None)
index_text = None
if element_index is not None:
if filter_highlight_ids:
# Use the meaningful text that matches what the LLM sees
meaningful_text = element.get_meaningful_text_for_llm()
# Show ID only if meaningful text is less than 5 characters
if len(meaningful_text) < 5:
index_text = str(element_index)
else:
# Always show ID when filter is disabled
index_text = str(element_index)
# Draw enhanced bounding box with bigger index
draw_enhanced_bounding_box_with_text(draw, (x1, y1, x2, y2), color, index_text, font, tag_name, image.size)
except Exception as e:
logger.debug(f'Failed to draw highlight for element {element_id}: {e}')
continue
# Convert back to base64
output_buffer = io.BytesIO()
image.save(output_buffer, format='PNG')
output_buffer.seek(0)
highlighted_b64 = base64.b64encode(output_buffer.getvalue()).decode('utf-8')
logger.debug(f'Successfully created highlighted screenshot with {len(selector_map)} elements')
return highlighted_b64
except Exception as e:
logger.error(f'Failed to create highlighted screenshot: {e}')
# Return original screenshot on error
return screenshot_b64
async def get_viewport_info_from_cdp(cdp_session) -> Tuple[float, int, int]:
"""Get viewport information from CDP session.
Returns:
Tuple of (device_pixel_ratio, scroll_x, scroll_y)
"""
try:
# Get layout metrics which includes viewport info and device pixel ratio
metrics = await cdp_session.cdp_client.send.Page.getLayoutMetrics(session_id=cdp_session.session_id)
# Extract viewport information
visual_viewport = metrics.get('visualViewport', {})
css_visual_viewport = metrics.get('cssVisualViewport', {})
css_layout_viewport = metrics.get('cssLayoutViewport', {})
# Calculate device pixel ratio
css_width = css_visual_viewport.get('clientWidth', css_layout_viewport.get('clientWidth', 1280.0))
device_width = visual_viewport.get('clientWidth', css_width)
device_pixel_ratio = device_width / css_width if css_width > 0 else 1.0
# Get scroll position in CSS pixels
scroll_x = int(css_visual_viewport.get('pageX', 0))
scroll_y = int(css_visual_viewport.get('pageY', 0))
return float(device_pixel_ratio), scroll_x, scroll_y
except Exception as e:
logger.debug(f'Failed to get viewport info from CDP: {e}')
return 1.0, 0, 0
@observe_debug(ignore_input=True, ignore_output=True, name='create_highlighted_screenshot_async')
async def create_highlighted_screenshot_async(
screenshot_b64: str, selector_map: DOMSelectorMap, cdp_session=None, filter_highlight_ids: bool = True
) -> str:
"""Async wrapper for creating highlighted screenshots.
Args:
screenshot_b64: Base64 encoded screenshot
selector_map: Map of interactive elements
cdp_session: CDP session for getting viewport info
Returns:
Base64 encoded highlighted screenshot
"""
# Get viewport information if CDP session is available
device_pixel_ratio = 1.0
viewport_offset_x = 0
viewport_offset_y = 0
if cdp_session:
try:
device_pixel_ratio, viewport_offset_x, viewport_offset_y = await get_viewport_info_from_cdp(cdp_session)
except Exception as e:
logger.debug(f'Failed to get viewport info from CDP: {e}')
# Create highlighted screenshot (run in thread pool if needed for performance)
return create_highlighted_screenshot(
screenshot_b64, selector_map, device_pixel_ratio, viewport_offset_x, viewport_offset_y, filter_highlight_ids
)