import os
import time
from googleapiclient.discovery import build
import asyncio
import httpx
from bs4 import BeautifulSoup
from dotenv import load_dotenv
import html2text
import requests
import unicodedata
import fitz

load_dotenv()

API_KEY = os.environ.get("GOOGLE_SEARCH_API_KEY")
CSE_KEY = os.environ.get("GOOGLE_SEARCH_CSE_ID")

# Number of pages to scrape
NUM_PAGES = 10

# load html2text and set up configs
h2t = html2text.HTML2Text()
h2t.bodywidth = 0  # No wrapping
h2t.ignore_links = True  # Ignore hyperlinks
h2t.ignore_images = True  # Ignore images
h2t.ignore_emphasis = True  # Ignore emphasis
h2t.ignore_tables = False  # Include tables
h2t.skip_internal_links = True  # Skip internal links
h2t.skip_external_links = True  # Skip external links
h2t.single_line_break = True  # Use single line breaks
h2t.protect_links = True  # Protect links from being split
h2t.default_image_alt = "[image]"  # Default alt text for images


def clean_html(text):
    text = h2t.handle(text)
    text = unicodedata.normalize("NFKD", text).encode("ASCII", "ignore").decode("ASCII")  # Remove non-ASCII characters
    return text


def build_results_beautifulsoup(url_list):
    print("Starting to scrape URLs...")
    start_time = time.perf_counter()

    # scrape URLs in list
    soups = asyncio.run(parallel_scrap(url_list))

    scraping_time = time.perf_counter() - start_time
    print(f"Scraping processing time: {scraping_time:.2f} seconds")

    result_content = {}
    count = 0

    print("Starting to process each URL...")
    for url, soup in zip(url_list, soups):
        if count >= NUM_PAGES:
            print(f"Reached the limit of {NUM_PAGES} pages. Stopping processing.")
            break

        if soup:
            print(f"Processing URL: {url}")
            text = clean_html(soup.text)
            if len(text) > 500:
                print(f"Adding content from URL: {url}, content length: {len(text)}")
                result_content[url] = text
                count += 1
            else:
                print(f"Skipped URL: {url}, content too short (length: {len(text)})")
        else:
            print(f"Skipped URL: {url}, no soup content available.")

    print("Finished processing URLs.")
    return result_content


def build_results_extractor(url_list):
    try:
        endpoint = "https://extractorapi.com/api/v1/extractor"
        result_content = {}
        count = 0
        for url in url_list:
            if count >= NUM_PAGES:
                break
            params = {"apikey": os.environ.get("EXTRACTOR_API_KEY"), "url": url}
            r = requests.get(endpoint, params=params)
            if r.status_code == 200:
                text = r.json()["text"]
                if len(text) > 500:
                    result_content[url] = text
                    count += 1
            if r.status_code == 403:
                raise Exception(f"Error with API; using default implementaion instead")
        return result_content

    except Exception as e:
        print(e)
        return build_results_beautifulsoup(url_list)


months = {
    "January": "01",
    "February": "02",
    "March": "03",
    "April": "04",
    "May": "05",
    "June": "06",
    "July": "07",
    "August": "08",
    "September": "09",
    "October": "10",
    "November": "11",
    "December": "12",
}

domain_list = ["com", "org", "net", "int", "edu", "gov", "mil"]


def build_date(year=2024, month="March", day=1):
    return f"{year}{months[month]}{day}"


async def get_url_data(url, client):
    try:
        r = await client.get(url)
        if r.status_code == 200:
            content_type = r.headers.get("Content-Type", "").lower()
            # detect if pdf
            if "application/pdf" in content_type or url.lower().endswith(".pdf"):
                pdf_content = await extract_pdf_text(r.content)
                return BeautifulSoup(pdf_content, "html.parser")
            else:
                return BeautifulSoup(r.content, "html.parser")
    except Exception:
        return None


async def extract_pdf_text(content):
    try:
        with fitz.open(stream=content, filetype="pdf") as doc:
            text = ""
            for page in doc:
                text += page.get_text()
        return f"<div>{text}</div>"  # Wrap in a div to make it valid HTML
    except Exception as e:
        print(f"Error extracting PDF text: {str(e)}")
        return "<div>Error extracting PDF text</div>"


async def parallel_scrap(urls):
    async with httpx.AsyncClient(timeout=30) as client:
        tasks = []
        for url in urls:
            tasks.append(get_url_data(url=url, client=client))
        results = await asyncio.gather(*tasks, return_exceptions=True)
    return results


def scrap(urls):
    client = httpx.Client()
    soups = []
    for url in urls:
        soups.append(get_url_data(url=url, client=client))
    return soups


def google_search_urls(
    text,
    sorted_date,
    domains_to_include,
    api_key,
    cse_id,
    **kwargs,
):
    service = build("customsearch", "v1", developerKey=api_key)
    results = service.cse().list(q=text, cx=cse_id, sort=sorted_date, **kwargs).execute()
    url_list = []
    if "items" in results and len(results["items"]) > 0:
        for count, link in enumerate(results["items"]):
            # skip user selected domains
            if (domains_to_include is None) or not any(
                ("." + domain) in link["link"] for domain in domains_to_include
            ):
                continue
            url = link["link"]
            if url not in url_list:
                url_list.append(url)
    return url_list


def google_search(
    topic,
    sorted_date,
    domains_to_include,
):
    api_key = os.environ.get("GOOGLE_SEARCH_API_KEY")
    cse_id = os.environ.get("GOOGLE_SEARCH_CSE_ID")
    start_time = time.perf_counter()
    url_list = google_search_urls(
        topic,
        sorted_date,
        domains_to_include,
        api_key,
        cse_id,
    )
    print("Google Search processing time: ", time.perf_counter() - start_time)
    result_content = build_results_beautifulsoup(url_list)
    return result_content