DOM Processing

class DomService:
    def __init__(
        self,
        browser_session: BrowserSession,
        logger: logging.Logger = None,
        cross_origin_iframes: bool = False,
        include_attributes: list[str] = None
    ):
        """
        Initialize DOM processing service.

        Parameters:
        - browser_session: Browser session for DOM access
        - logger: Optional custom logger instance
        - cross_origin_iframes: Include cross-origin iframe content
        - include_attributes: DOM attributes to include in serialization
        """

    async def get_dom_tree(self) -> DomTree:
        """
        Extract complete DOM tree from current page.

        Returns:
        DomTree: Structured representation of page DOM
        """

    async def get_clickable_elements(self) -> list[ElementInfo]:
        """
        Extract all clickable/interactable elements from page.

        Returns:
        list[ElementInfo]: List of elements that can be interacted with
        """

    async def serialize_dom(
        self,
        include_text: bool = True,
        include_attributes: bool = True,
        max_depth: int = None
    ) -> str:
        """
        Serialize DOM tree to text representation.

        Parameters:
        - include_text: Include text content of elements
        - include_attributes: Include element attributes
        - max_depth: Maximum tree depth to serialize

        Returns:
        str: Text representation of DOM structure
        """

    async def find_elements_by_text(self, text: str) -> list[ElementInfo]:
        """
        Find elements containing specific text.

        Parameters:
        - text: Text to search for in elements

        Returns:
        list[ElementInfo]: Elements containing the text
        """

    async def find_elements_by_selector(self, selector: str) -> list[ElementInfo]:
        """
        Find elements using CSS selector.

        Parameters:
        - selector: CSS selector string

        Returns:
        list[ElementInfo]: Elements matching the selector
        """

    async def get_element_screenshot(self, index: int) -> str:
        """
        Take screenshot of specific element.

        Parameters:
        - index: Element index

        Returns:
        str: Path to element screenshot image
        """

class DomTree:
    """Complete DOM tree representation."""
    root: DomNode
    total_elements: int
    clickable_elements: int
    form_elements: int
    interactive_elements: int

class DomNode:
    """Individual DOM node representation."""
    tag: str
    text: str
    attributes: dict[str, str]
    index: int
    children: list[DomNode]
    parent: DomNode
    bounding_box: BoundingBox
    is_clickable: bool
    is_visible: bool
    xpath: str
    css_selector: str

class BoundingBox:
    """Element positioning and dimensions."""
    x: float
    y: float
    width: float
    height: float
    top: float
    left: float
    bottom: float
    right: float

class ElementInfo:
    """Comprehensive element information."""
    index: int
    tag: str
    text: str
    attributes: dict[str, str]
    bounding_box: BoundingBox
    is_clickable: bool
    is_visible: bool
    is_enabled: bool
    element_type: str  # 'button', 'input', 'link', 'text', etc.
    xpath: str
    css_selector: str
    parent_index: int
    children_indices: list[int]

class FormElementInfo(ElementInfo):
    """Form-specific element information."""
    input_type: str  # 'text', 'password', 'email', 'checkbox', etc.
    is_required: bool
    placeholder: str
    value: str
    min_value: str
    max_value: str
    pattern: str

class SelectElementInfo(ElementInfo):
    """Select/dropdown element information."""
    options: list[SelectOption]
    selected_value: str
    multiple: bool

class SelectOption:
    """Option within select element."""
    value: str
    text: str
    selected: bool
    disabled: bool

class InteractionAnalyzer:
    """Analyze element interaction possibilities."""
    
    async def analyze_clickability(self, element: ElementInfo) -> ClickabilityAnalysis:
        """
        Analyze how clickable an element is.

        Parameters:
        - element: Element to analyze

        Returns:
        ClickabilityAnalysis: Detailed clickability assessment
        """

    async def analyze_form_structure(self, form_index: int) -> FormAnalysis:
        """
        Analyze form structure and required fields.

        Parameters:
        - form_index: Index of form element

        Returns:
        FormAnalysis: Complete form structure analysis
        """

    async def suggest_interaction_strategy(
        self,
        target_goal: str
    ) -> InteractionStrategy:
        """
        Suggest best interaction strategy for achieving goal.

        Parameters:
        - target_goal: Description of desired outcome

        Returns:
        InteractionStrategy: Recommended interaction sequence
        """

class ClickabilityAnalysis:
    """Analysis of element clickability."""
    is_clickable: bool
    confidence: float  # 0.0-1.0
    blocking_elements: list[ElementInfo]
    alternative_elements: list[ElementInfo]
    click_coordinates: tuple[float, float]

class FormAnalysis:
    """Complete form structure analysis."""
    form_element: ElementInfo
    required_fields: list[FormElementInfo]
    optional_fields: list[FormElementInfo]
    submit_buttons: list[ElementInfo]
    validation_rules: dict[str, str]

class InteractionStrategy:
    """Recommended interaction sequence."""
    steps: list[InteractionStep]
    confidence: float
    alternatives: list[InteractionStep]

class InteractionStep:
    """Individual interaction step."""
    action: str  # 'click', 'input', 'scroll', 'wait'
    element_index: int
    parameters: dict[str, Any]
    expected_outcome: str

class ContentExtractor:
    """Extract various types of content from pages."""
    
    async def extract_text_content(
        self,
        clean: bool = True,
        include_hidden: bool = False
    ) -> str:
        """
        Extract text content from page.

        Parameters:
        - clean: Clean and normalize text
        - include_hidden: Include hidden element text

        Returns:
        str: Extracted text content
        """

    async def extract_links(
        self,
        internal_only: bool = False,
        include_anchors: bool = True
    ) -> list[LinkInfo]:
        """
        Extract all links from page.

        Parameters:
        - internal_only: Only include internal links
        - include_anchors: Include anchor links

        Returns:
        list[LinkInfo]: All links found on page
        """

    async def extract_images(
        self,
        include_data_urls: bool = False,
        min_size: tuple[int, int] = None
    ) -> list[ImageInfo]:
        """
        Extract image information from page.

        Parameters:
        - include_data_urls: Include base64 data URLs
        - min_size: Minimum image dimensions (width, height)

        Returns:
        list[ImageInfo]: All images found on page
        """

    async def extract_tables(self) -> list[TableInfo]:
        """
        Extract structured table data.

        Returns:
        list[TableInfo]: All tables with structured data
        """

class LinkInfo:
    """Link element information."""
    url: str
    text: str
    title: str
    element_index: int
    is_external: bool
    is_anchor: bool

class ImageInfo:
    """Image element information."""
    src: str
    alt: str
    title: str
    width: int
    height: int
    element_index: int
    is_data_url: bool

class TableInfo:
    """Table structure and data."""
    headers: list[str]
    rows: list[list[str]]
    element_index: int
    caption: str

from browser_use import BrowserSession, DomService

session = BrowserSession()
dom_service = DomService(session)

# Navigate to page
await session.navigate_to_url("https://example.com")

# Get complete DOM tree
dom_tree = await dom_service.get_dom_tree()
print(f"Total elements: {dom_tree.total_elements}")
print(f"Clickable elements: {dom_tree.clickable_elements}")

# Get clickable elements
clickable = await dom_service.get_clickable_elements()
for element in clickable:
    print(f"Index {element.index}: {element.tag} - {element.text}")

from browser_use import DomService, BrowserSession

session = BrowserSession()
dom_service = DomService(session)

await session.navigate_to_url("https://example.com/search")

# Find search box by text
search_elements = await dom_service.find_elements_by_text("Search")
if search_elements:
    search_box = search_elements[0]
    print(f"Found search box at index: {search_box.index}")

# Find elements by CSS selector
buttons = await dom_service.find_elements_by_selector("button.primary")
for button in buttons:
    print(f"Button {button.index}: {button.text}")

# Take screenshot of specific element
if buttons:
    screenshot_path = await dom_service.get_element_screenshot(buttons[0].index)
    print(f"Button screenshot saved: {screenshot_path}")

from browser_use import DomService, BrowserSession

session = BrowserSession()

# Configure DOM service with custom attributes
dom_service = DomService(
    browser_session=session,
    cross_origin_iframes=True,  # Include iframe content
    include_attributes=[
        'id', 'class', 'name', 'data-testid', 
        'aria-label', 'placeholder', 'href', 'src'
    ]
)

await session.navigate_to_url("https://complex-site.com")

# Serialize DOM with custom options
dom_text = await dom_service.serialize_dom(
    include_text=True,
    include_attributes=True,
    max_depth=5  # Limit depth for large pages
)

print("DOM Structure:")
print(dom_text[:1000])  # First 1000 characters

from browser_use import DomService, BrowserSession

session = BrowserSession()
dom_service = DomService(session)

await session.navigate_to_url("https://example.com/contact")

# Find all form elements
forms = await dom_service.find_elements_by_selector("form")

for form in forms:
    print(f"Form {form.index}:")
    
    # Analyze form structure
    analyzer = InteractionAnalyzer()
    form_analysis = await analyzer.analyze_form_structure(form.index)
    
    print(f"  Required fields: {len(form_analysis.required_fields)}")
    for field in form_analysis.required_fields:
        print(f"    {field.tag}[{field.input_type}]: {field.placeholder}")
    
    print(f"  Submit buttons: {len(form_analysis.submit_buttons)}")
    for button in form_analysis.submit_buttons:
        print(f"    {button.text}")

from browser_use import DomService, BrowserSession, ContentExtractor

session = BrowserSession()
dom_service = DomService(session)
extractor = ContentExtractor()

await session.navigate_to_url("https://news-site.com/article")

# Extract page text content
text_content = await extractor.extract_text_content(clean=True)
print(f"Article text ({len(text_content)} chars):")
print(text_content[:500])

# Extract all links
links = await extractor.extract_links(internal_only=False)
print(f"\nFound {len(links)} links:")
for link in links[:5]:  # First 5 links
    print(f"  {link.text}: {link.url}")

# Extract images
images = await extractor.extract_images(min_size=(100, 100))
print(f"\nFound {len(images)} images:")
for image in images[:3]:  # First 3 images
    print(f"  {image.alt}: {image.src}")

# Extract tables if any
tables = await extractor.extract_tables()
if tables:
    print(f"\nFound {len(tables)} tables:")
    for i, table in enumerate(tables):
        print(f"  Table {i}: {len(table.headers)} columns, {len(table.rows)} rows")

from browser_use import DomService, BrowserSession, InteractionAnalyzer

session = BrowserSession()
dom_service = DomService(session)
analyzer = InteractionAnalyzer()

await session.navigate_to_url("https://ecommerce-site.com/product")

# Plan interaction strategy for adding item to cart
strategy = await analyzer.suggest_interaction_strategy(
    "Add this product to shopping cart"
)

print(f"Interaction strategy (confidence: {strategy.confidence}):")
for i, step in enumerate(strategy.steps):
    print(f"  Step {i+1}: {step.action} on element {step.element_index}")
    print(f"    Expected: {step.expected_outcome}")

# Execute strategy
for step in strategy.steps:
    if step.action == "click":
        await session.click_element(step.element_index)
    elif step.action == "input":
        text = step.parameters.get("text", "")
        await session.input_text(step.element_index, text)
    elif step.action == "scroll":
        await session.scroll(step.parameters.get("down", True), 1)

from browser_use import DomService, BrowserSession, InteractionAnalyzer

session = BrowserSession()
dom_service = DomService(session)
analyzer = InteractionAnalyzer()

await session.navigate_to_url("https://complex-ui.com")

# Find potential target element
target_elements = await dom_service.find_elements_by_text("Subscribe")

for element in target_elements:
    # Analyze clickability
    analysis = await analyzer.analyze_clickability(element)
    
    print(f"Element {element.index} clickability:")
    print(f"  Clickable: {analysis.is_clickable}")
    print(f"  Confidence: {analysis.confidence}")
    
    if analysis.blocking_elements:
        print(f"  Blocked by {len(analysis.blocking_elements)} elements")
    
    if analysis.alternative_elements:
        print(f"  {len(analysis.alternative_elements)} alternatives available")
    
    if analysis.is_clickable:
        x, y = analysis.click_coordinates
        print(f"  Best click point: ({x}, {y})")

# Default DOM attributes to include in serialization
DEFAULT_INCLUDE_ATTRIBUTES: list[str] = [
    'id', 'class', 'name', 'aria-label', 'data-testid',
    'placeholder', 'href', 'src', 'type', 'value'
]

# Element interaction priorities
CLICKABLE_ELEMENT_PRIORITIES: dict[str, int] = {
    'button': 10,
    'a': 9,
    'input[type="submit"]': 8,
    'input[type="button"]': 7,
    'select': 6,
    'input': 5
}

# Maximum DOM serialization limits
MAX_DOM_TEXT_LENGTH: int = 50000
MAX_ELEMENT_DEPTH: int = 20
MAX_CLICKABLE_ELEMENTS: int = 100