"""
title: Web Scraper
author: Mark Bailey
author_url: https://git.markbailey.dev/cerbervs
git_url: https://git.markbailey.dev/cerbervs/scrape.git
description: Scrapes web with option for recursive scraping.
requirements: websocket, requests, bs4, pydantic
version: 2.1.5
licence: MIT
"""

import json
import websocket
import requests
from urllib.parse import urlparse as parse_url
from bs4 import BeautifulSoup
from pydantic import BaseModel, ConfigDict, Field


class Tools:
    class RecursiveScraper(BaseModel):
        req_limit: int
        visited: list = []
        netloc: str | None = None
        scheme: str | None = None
        data: dict = {}
        model_config = ConfigDict(arbitrary_types_allowed=True)

        def scrape_website(
            self,
            url: str,
        ) -> dict:
            if self.netloc is None:
                self.netloc = parse_url(url).netloc
                self.scheme = parse_url(url).scheme

            if self.req_limit == 0:
                return self.data

            try:
                # Clean the URL
                cleaned_url = self.clean_link(url)
                if cleaned_url is None:
                    raise Exception("Invalid URL: " + url)

                if cleaned_url in self.visited:
                    return {}

                # Try to send GET request using WebSocket
                try:
                    ws = websocket.create_connection(f"ws://{self.netloc}", timeout=1)
                    ws.send(json.dumps({"url": cleaned_url}))
                    response = ws.recv()
                    ws.close()
                except Exception:
                    # Fall back to requests library if WebSocket fails
                    response = requests.get(cleaned_url).text

                if not response:
                    self.visited.append(cleaned_url)
                    raise Exception("Failed to fetch URL: " + cleaned_url)

                # Parse HTML content using BeautifulSoup and lxml parser
                soup = BeautifulSoup(response, "lxml")
                data = self.extract_data(soup)

                links = data["links"]

                keep = ["title", "headings", "paragraphs", "images"]
                for key in list(data.keys()):
                    if key not in keep:
                        del data[key]

                # Mark URL as visited
                self.visited.append(cleaned_url)
                self.data.update({cleaned_url: data})
                self.req_limit -= 1

                # Scrape all links in the page
                for link in links:
                    self.scrape_website(link)

                return self.data

            except Exception as e:
                print(f"Error when trying URL: {e}")
                return {}

        def clean_link(self, link) -> str | None:
            parsed_link = parse_url(link)
            """<scheme>://<netloc>/<path>;<params>?<query>#<fragment>"""
            scheme = parsed_link.scheme
            netloc = parsed_link.netloc
            path = parsed_link.path
            params = parsed_link.params
            query = parsed_link.query
            fragment = parsed_link.fragment

            if self.netloc is None or self.scheme is None:
                return None

            if netloc is not None and netloc != "" and netloc != self.netloc:
                return None

            # clean each part of the URL and then reconstruct it
            if scheme is None or scheme == "":
                scheme = self.scheme

            if netloc is None or netloc == "":
                netloc = self.netloc

            if path is not None and path != "":
                path = "/" + path

            if params is not None and params != "":
                params = ";" + params

            if query is not None and query != "":
                query = "?" + query

            if fragment is not None and fragment != "":
                fragment = "#" + fragment

            return f"{scheme}://{netloc}{path}{params}{query}{fragment}"

        def extract_data(self, soup: BeautifulSoup) -> dict:
            # Extract data
            data = {
                "title": soup.title.string if soup.title else None,
                "headings": [],
                "paragraphs": [],
                "links": [],
                "images": [],
            }

            # Find all headings (h1 to h6)
            headings = soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"])
            if headings:
                data["headings"].extend([tag.get_text() for tag in headings])

            # Find all paragraphs
            paragraphs = soup.find_all("p", recursive=True)
            if paragraphs:
                data["paragraphs"] = [p.get_text() for p in paragraphs]

            divs = soup.find_all("div", recursive=True)
            if divs:
                data["divs"] = [div.get_text() for div in divs]

            lis = soup.find_all("li", recursive=True)
            if lis:
                data["lis"] = [li.get_text() for li in lis]

            # Extract all links
            links = soup.find_all("a", href=True)
            if links:
                data["links"] = [link["href"] for link in links if link["href"]]

            # Extract image sources
            images = soup.find_all("img", src=True)
            if images:
                data["images"] = [img["src"] for img in images if img["src"]]

            return data

        def __init__(self, req_limit: int):
            super().__init__(req_limit=req_limit)

    class UserValves(BaseModel):
        single_request: bool = Field(default=False, description="Single Request")
        pass

    class Valves(UserValves):
        request_limit: int = Field(default=5, description="Request Limit")
        pass

    def __init__(self):
        """
        Initializes the Tools class.
        :params req_limit: The number of requests to be made to scrape the website.
        """

        self.citation: bool = True
        self.valves = self.Valves()
        self.user_valves = self.UserValves()

    def scrape_recursively(self, url: str) -> str:
        """
        Scrapes data from a web page using requests and BeautifulSoup.
        :params url: The URL of the web page to be scraped.
        """

        single_request = self.user_valves.single_request or self.valves.single_request

        if single_request:
            request_limit = 1
        else:
            request_limit = self.valves.request_limit

        print(
            f"Single Request Mode - {single_request} - Request Limit - {request_limit}"
        )

        scraper = self.RecursiveScraper(request_limit)
        data = scraper.scrape_website(url)
        json_s = json.dumps(data)
        del scraper

        return json_s


if __name__ == "__main__":
    tools = Tools()
    print(tools.scrape_recursively("https://pkg.go.dev/github.com/go-chi/chi/v5"))