import requests

from bs4 import BeautifulSoup

from collections import Counter

import re

def main(url: str) -> dict:

    """

    Perform advanced SEO analysis on the given website URL using Beautiful Soup.

    Parameters:

    - url (str): The URL of the website to analyze.

    Returns:

    - dict: A dictionary containing advanced SEO analysis results including title length,

      number of headings, presence of meta description, meta tags, text-to-HTML ratio,

      canonical link, keyword density, mobile friendliness, and link health.

    """

    try:

        # Send a GET request to the URL

        response = requests.get(url)

        # Parse the HTML content of the page

        soup = BeautifulSoup(response.text, "html.parser")

        # SEO analysis

        seo_analysis = {}

        # Get the title of the page and its length

        title = soup.find("title").text if soup.find("title") else "No title found"

        seo_analysis["title"] = title

        seo_analysis["title_length"] = len(title)

        # Count the number of headings (h1, h2, h3, h4, h5, h6)

        headings = {f"h{i}": len(soup.find_all(f"h{i}")) for i in range(1, 7)}

        seo_analysis["headings_count"] = headings

        # Check for meta description

        meta_description = soup.find("meta", attrs={"name": "description"})

        seo_analysis["meta_description"] = (

            meta_description["content"]

            if meta_description

            else "No meta description found"

        )

        # Additional meta tags

        meta_robots = soup.find('meta', attrs={'name': 'robots'})

        seo_analysis['meta_robots'] = meta_robots['content'] if meta_robots else 'No robots meta tag'

        # Canonical link

        canonical_link = soup.find('link', rel='canonical')

        seo_analysis['canonical_link'] = canonical_link['href'] if canonical_link else 'No canonical link'

        # Text to HTML Ratio

        text_length = len(soup.get_text())

        html_length = len(response.text)

        seo_analysis['text_to_html_ratio'] = text_length / html_length if html_length > 0 else 0

        # Keyword Density (Example: assuming 'example_keyword' is the keyword)

        words = re.findall(r'\w+', soup.get_text().lower())

        word_count = Counter(words)

        total_words = sum(word_count.values())

        focus_keyword = 'example_keyword'

        keyword_density = word_count[focus_keyword] / total_words if focus_keyword in word_count and total_words > 0 else 0

        seo_analysis['keyword_density'] = keyword_density

        # Mobile Friendliness

        seo_analysis['mobile_friendly'] = 'yes' if 'viewport' in (meta_description["content"].lower() if meta_description else '') else 'no'

        # Link Analysis

        links = soup.find_all('a', href=True)

        seo_analysis['total_links'] = len(links)

        seo_analysis['nofollow_links'] = sum(1 for link in links if 'nofollow' in link.get('rel', []))

        seo_analysis['external_links'] = sum(1 for link in links if link['href'].startswith('http'))

        seo_analysis['internal_links'] = seo_analysis['total_links'] - seo_analysis['external_links']

        return seo_analysis

    except Exception as e:

        return {"error": str(e)}