"""Tool functions for Brand Search Optimization.

In production, these tools require BigQuery credentials and a Selenium WebDriver.
These stubs return placeholder data so the agent can be loaded and tested
without external dependencies.
"""

import logging

logger = logging.getLogger(__name__)


def get_product_details_for_brand(brand: str) -> str:
    """Retrieve product details from BigQuery for a given brand.

    Args:
        brand: The brand name to search for.

    Returns:
        Markdown table with Title, Description, Attributes, Brand columns.
    """
    # In production: queries BigQuery table for products matching brand
    #   from google.cloud import bigquery
    #   client = bigquery.Client()
    #   query = f"SELECT * FROM `project.dataset.products` WHERE brand = '{brand}'"
    logger.info(f"Querying product details for brand: {brand}")
    return (
        "| Title | Description | Attributes | Brand |\n"
        "|---|---|---|---|\n"
        f"| Sample Product | Sample description | Size: M | {brand} |\n"
    )


def go_to_url(url: str) -> str:
    """Navigate browser to the given URL.

    Args:
        url: The URL to navigate to.

    Returns:
        Confirmation message.
    """
    # In production: driver.get(url)
    logger.info(f"Navigating to: {url}")
    return f"Navigated to URL: {url}"


def take_screenshot() -> dict:
    """Take a screenshot of the current page.

    Returns:
        Dict with status and filename of the saved screenshot.
    """
    # In production: driver.save_screenshot(filename)
    return {"status": "ok", "filename": "screenshot.png"}


def find_element_with_text(text: str) -> str:
    """Find an element on the page with the given text.

    Args:
        text: The text to search for on the page.

    Returns:
        Confirmation that the element was found.
    """
    # In production: driver.find_element(By.XPATH, f"//*[contains(text(), '{text}')]")
    return "Element found."


def click_element_with_text(text: str) -> str:
    """Click on an element with the given text.

    Args:
        text: The text of the element to click.

    Returns:
        Confirmation message.
    """
    # In production: element.click()
    return f"Clicked element with text: {text}"


def enter_text_into_element(text_to_enter: str, element_id: str) -> str:
    """Enter text into an element with the given ID.

    Args:
        text_to_enter: The text to type into the element.
        element_id: The DOM element ID to target.

    Returns:
        Confirmation message.
    """
    # In production: driver.find_element(By.ID, element_id).send_keys(text_to_enter)
    return f"Entered text '{text_to_enter}' into element: {element_id}"


def scroll_down_screen() -> str:
    """Scroll down the screen.

    Returns:
        Confirmation message.
    """
    # In production: driver.execute_script("window.scrollBy(0, 500)")
    return "Scrolled down."


def get_page_source() -> str:
    """Return the current page source HTML.

    Returns:
        The HTML source of the current page.
    """
    # In production: driver.page_source
    return "<html><body>Sample page</body></html>"


def analyze_webpage(page_source: str, user_task: str) -> str:
    """Analyze a webpage and determine the next action.

    Args:
        page_source: The HTML source of the page to analyze.
        user_task: Description of what the user is trying to accomplish.

    Returns:
        Action determination or TASK_COMPLETED sentinel.
    """
    # In production: uses an LLM to analyze the page and decide next steps
    return "TASK_COMPLETED"
