# Library Imports
import requests
from bs4 import BeautifulSoup
from googlesearch import search
from duckduckgo_search import DDGS
import concurrent.futures
import re



# Search Functions -------------------------------------------------------------->

# Function to search DuckDuckGo
def search_duckduckgo(query):
    try:
        results = DDGS().text(f"{query} manual filetype:pdf", max_results=5)
        return [res['href'] for res in results]
    except:
        return []

# Function to search Google
def search_google(query):

    links = []
    try:
        api_key = 'AIzaSyDV_uJwrgNtawqtl6GDfeUj6NqO-H1tA4c'
        search_engine_id = 'c4ca951b9fc6949cb'
        
        url = f"https://www.googleapis.com/customsearch/v1"
        params = {
            "key": api_key,
            "cx": search_engine_id,
            "q": query + " manual filetype:pdf"
        }

        response = requests.get(url, params=params)
        results = response.json()

        for item in results.get('items', []):
            links.append(item['link'])
    except:
        pass
    
    try:
        extension = "ext:pdf"
        for result in search(query + " manual " + extension, num_results=5):
            if result.endswith('.pdf'):
                links.append(result)
    except:
        pass
    
    return links

# Function to search Internet Archive
def search_archive(query):

    try:
        url = "https://archive.org/advancedsearch.php"
        params = {
            'q': f'{query} manual',
            'fl[]': ['identifier', 'title', 'format'],
            'rows': 50,
            'page': 1,
            'output': 'json'
        }

        # Make the request
        response = requests.get(url, params=params)
        data = response.json()

        # Function to extract hyperlinks from a webpage
        def extract_hyperlinks(url):        
            # Send a GET request to the URL
            response = requests.get(url)
            
            # Check if the request was successful
            if response.status_code == 200:
                # Parse the HTML content of the page
                soup = BeautifulSoup(response.text, 'html.parser')
                
                # Find all <a> tags (hyperlinks)
                for link in soup.find_all('a', href=True):
                    href = link['href']
                    if href.endswith('.pdf'):
                        pdf_files.append(url+'/'+href)
                    if href.endswith('.iso'):
                        # If the link ends with .iso, follow the link and extract .pdf hyperlinks
                        extract_pdf_from_iso(url+'/'+href+'/')

        # Function to extract .pdf hyperlinks from an .iso file
        def extract_pdf_from_iso(iso_url):        
            # Send a GET request to the ISO URL
            iso_response = requests.get(iso_url)
            
            # Check if the request was successful
            if iso_response.status_code == 200:
                # Parse the HTML content of the ISO page
                iso_soup = BeautifulSoup(iso_response.text, 'html.parser')
                
                # Find all <a> tags (hyperlinks) in the ISO page
                for link in iso_soup.find_all('a', href=True):
                    href = link['href']
                    if href.endswith('.pdf'):
                        pdf_files.append('https:'+href)

        pdf_files = []

        def process_doc(doc):
            identifier = doc.get('identifier', 'N/A')
            # title = doc.get('title', 'N/A')
            # format = doc.get('format', 'N/A')
            pdf_link = f"https://archive.org/download/{identifier}"
            extract_hyperlinks(pdf_link)

        with concurrent.futures.ThreadPoolExecutor() as executor:
            futures = [executor.submit(process_doc, doc) for doc in data['response']['docs']]

            # Optionally, wait for all futures to complete and handle any exceptions
            for future in concurrent.futures.as_completed(futures):
                try:
                    future.result()  # This will raise an exception if the function call raised
                except Exception as exc:
                    print(f'Generated an exception: {exc}')


        return pdf_files
    
    except:
        return []

def search_github(query):

    try:
        # GitHub Search API endpoint
        url = f"https://api.github.com/search/code?q={query}+extension:md"

        headers = {
        'Authorization': 'Token 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'
        }

        # Make the request
        response = requests.get(url,headers=headers)
        data = response.json()
        links = [item['html_url'] for item in data['items']]

        return links
    
    except:
        return []

def search_wikipedia(product):

    api_url = "https://en.wikipedia.org/w/api.php"
    params = {
        "action": "opensearch",
        "search": product,
        "limit": 5,
        "namespace": 0,
        "format": "json"
    }
    
    try:
        response = requests.get(api_url, params=params)
        response.raise_for_status()  # Raise an HTTPError for bad responses (4xx and 5xx)
        data = response.json()
        
        if data and len(data) > 3 and len(data[3]) > 0:
            return data[3]  # The URL is in the fourth element of the response array
        else:
            return []
    
    except requests.RequestException as e:
        print(f"An error occurred: {e}")
        return []

# def search_all(product,num):

#     similar_products = extract_similar_products(product)[num]
    
#     # results = {
#     #         product : [{'duckduckgo': duckduckgo_search(product)},{'google': google_search(product)},{'github': github_search(product)},{'archive': archive_search(product)}]
#     #     }

#     results = {}
        
#     def search_product(p):
#             return {
#                 'product': p,
#                 'duckduckgo': duckduckgo_search(p),
#                 'google': google_search(p),
#                 'github': github_search(p),
#                 'archive': archive_search(p),
#                 'wikipedia': wikipedia_search(p)
#             }

#     with concurrent.futures.ThreadPoolExecutor() as executor:
#             future_to_product = {executor.submit(search_product, p): p for p in similar_products}
            
#             for future in concurrent.futures.as_completed(future_to_product):
#                 result = future.result()
#                 product = result['product']
#                 results[product] = [
#                     {'duckduckgo': result['duckduckgo']},
#                     {'google': result['google']},
#                     {'github': result['github']},
#                     {'archive': result['archive']},
#                     {'wikipedia': result['wikipedia']}
#                 ]
                
#     return results

def search_images(product):
    results = DDGS().images(f"{product}", max_results=5)
    # print(results)
    return [r['image'] for r in results]
    
    
# Similarity Check  -------------------------------------->

def extract_similar_products(query):
    print(f"\n--> Fetching similar items of - {query}")
    results = DDGS().chat(f'{query} Similar Products')

    pattern = r'^\d+\.\s(.+)$'
    matches = re.findall(pattern, results, re.MULTILINE)
    matches = [item.split(': ')[0] for item in matches]
    return matches