Github Change

app.py

@@ -1,172 +1,327 @@
-# file: app.py
-
-import gradio as gr
-import requests
-import json
-import concurrent.futures
-from concurrent.futures import ThreadPoolExecutor
-from langchain_community.document_loaders import PyPDFLoader
-from langdetect import detect_langs
-from PyPDF2 import PdfReader
-from io import BytesIO
-import logging
-from dotenv import load_dotenv
-import os
-
-load_dotenv()
-data = False 
-seen = set()
-
-main_url = "https://similar-products-api.vercel.app/search/all"
-main_product = "Samsung Galaxy"
-
-API_URL = "https://api-inference.huggingface.co/models/google/flan-t5-xxl"
-headers = {"Authorization": f"Bearer {os.getenv('HUGGINGFACE_API_TOKEN')}"}
-
-logging.basicConfig(level=logging.INFO)
-
-def get_links(product):
-    params = {
-        "API_KEY": "12345",
-        "product": f"{product}",
-    }
-    response = requests.get(main_url, params=params)
-    if response.status_code == 200:
-        results = response.json()
-        return results
-    else:
-        return {}
-
-def language_preprocess(text):
-    try:
-        if detect_langs(text)[0].lang == 'en':
-            return True
-        return False
-    except Exception as e:
-        logging.error(f"Language detection error: {e}")
-        return False
-
-def relevant(product, similar_product, content):
-    try:
-        payload = {"inputs": f'''Do you think that the given content is similar to {similar_product} and {product}, just Respond True or False  \nContent for similar product:  {content[:700]}'''}
-        response = requests.post(API_URL, headers=headers, json=payload)
-        output = response.json()
-        return bool(output[0]['generated_text'])
-    except Exception as e:
-        logging.error(f"Relevance checking error: {e}")
-        return False
-
-def download_pdf(url, timeout=10):
-    try:
-        response = requests.get(url, timeout=timeout)
-        response.raise_for_status()
-        return BytesIO(response.content)
-    except requests.RequestException as e:
-        logging.error(f"PDF download error: {e}")
-        return None
-
-def extract_text_from_pages(pdf_file, pages):
-    reader = PdfReader(pdf_file)
-    extracted_text = ""
-    try:
-        for page_num in pages:
-            if page_num < len(reader.pages):
-                page = reader.pages[page_num]
-                extracted_text += page.extract_text() + "\n"
-            else:
-                logging.warning(f"Page {page_num} does not exist in the document.")
-        return extracted_text
-    except Exception as e:
-        logging.error(f"PDF text extraction error: {e}")
-        return 'हे चालत नाही'
-
-def process_link(link, similar_product):
-    if link in seen:
-        return None
-    seen.add(link)
-    try:
-        pdf_file = download_pdf(link)
-        if pdf_file:
-            text = extract_text_from_pages(pdf_file, [0, 2, 4])
-            if language_preprocess(text):
-                if relevant(main_product, similar_product, text):
-                    return link
-    except Exception as e:
-        logging.error(f"Error processing link: {e}")
-    return None
-
-def filtering(urls, similar_product):
-    res = []
-    with ThreadPoolExecutor() as executor:
-        futures = {executor.submit(process_link, link, similar_product): link for link in urls}
-        for future in concurrent.futures.as_completed(futures):
-            result = future.result()
-            if result is not None:
-                res.append(result)
-    return res
-
-def wikipedia_url(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()
-        data = response.json()
-        if data and len(data) > 3 and len(data[3]) > 0:
-            return data[3]
-        else:
-            return []
-    except requests.RequestException as e:
-        logging.error(f"Error fetching Wikipedia URLs: {e}")
-        return []
-
-def preprocess_initial(product):
-    return get_links(product)
-
-def preprocess_filter(product, data):
-    for similar_product in data:
-        if similar_product != product:
-            if list(data[similar_product][0])[0] == 'duckduckgo':
-                s = set(('duckduckgo', 'google', 'archive'))
-                temp = []
-
-                for idx, item in enumerate(data[similar_product]):
-                    if list(item)[0] in s:
-                        urls = data[similar_product][idx][list(item)[0]]
-                        temp += filtering(urls, similar_product)
-                    else:
-                        temp += data[similar_product][idx][list(item)[0]]
-
-                data[similar_product] = temp
-                data[similar_product] += wikipedia_url(similar_product)
-            else:
-                urls = data[similar_product]
-                data[similar_product] = filtering(urls, similar_product)
-                data[similar_product] += wikipedia_url(similar_product)
-    logging.info('Filtering completed')
-    return data
-
-def main(product_name):
-    return preprocess_initial(product_name)
-
-def filter_links(product_name, initial_data):
-    return preprocess_filter(product_name, initial_data)
-
-with gr.Blocks() as demo:
-    product_name = gr.Textbox(label="Product Name")
-    get_links_btn = gr.Button("Get Links")
-    initial_links_output = gr.JSON()
-    filter_btn = gr.Button("Filter Links")
-    filtered_links_output = gr.JSON()
-
-    get_links_btn.click(fn=main, inputs=product_name, outputs=initial_links_output)
-    filter_btn.click(fn=filter_links, inputs=[product_name, initial_links_output], outputs=filtered_links_output)
-
-if __name__ == "__main__":
-    demo.launch()
+from flask import Flask, request, jsonify, render_template
+import requests
+from bs4 import BeautifulSoup
+from googlesearch import search
+from duckduckgo_search import DDGS
+import concurrent.futures
+import re
+
+
+app = Flask(__name__)
+
+API_KEY_DEFAULT = '12345'
+
+# Function to search DuckDuckGo
+def duckduckgo_search(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 google_search(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 archive_search(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 github_search(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'].replace('/blob','').replace('//github','//raw.github') for item in data['items']]
+
+        return links
+    
+    except:
+        return []
+    
+
+#Similarity Check 
+
+def extract_similar_products(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]
+    print(matches)
+
+    return matches[:5] if matches else []
+
+
+# Define API routes -------------------------------------------------------
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+
+@app.route('/search/google', methods=['GET','POST'])
+def search_google():
+    
+    if request.method == 'POST':
+        data = request.get_json()
+        api_key = data.get('API_KEY')
+        product = data.get('product')
+    else:
+        product = request.args.get('product')
+        api_key = request.args.get('API_KEY')
+
+    similar_products = extract_similar_products(product)
+    if api_key == API_KEY_DEFAULT:
+        results = {product: google_search(product)}
+        for p in similar_products:
+            results[p] = google_search(p)
+        return jsonify(results)
+
+    else:
+        return jsonify({'error': 'Invalid API key'}), 401
+
+@app.route('/search/duckduckgo', methods=['GET','POST'])
+def search_duckduckgo():
+
+    if request.method == 'POST':
+        data = request.get_json()
+        api_key = data.get('API_KEY')
+        product = data.get('product')
+    else:
+        product = request.args.get('product')
+        api_key = request.args.get('API_KEY')
+    
+    similar_products = extract_similar_products(product)
+
+
+    if api_key == API_KEY_DEFAULT:
+        results = {product: duckduckgo_search(product)}
+        for p in similar_products:
+            results[p] = duckduckgo_search(p)
+        return jsonify(results)
+    else:
+        return jsonify({'error': 'Invalid API key'}), 401
+
+
+@app.route('/search/archive', methods=['GET','POST'])
+def search_archive():
+
+    if request.method == 'POST':
+        data = request.get_json()
+        api_key = data.get('API_KEY')
+        product = data.get('product')
+    else:
+        product = request.args.get('product')
+        api_key = request.args.get('API_KEY')
+    
+    # Retrieve custom headers if any
+
+    similar_products = extract_similar_products(product)
+
+    if api_key == API_KEY_DEFAULT:
+        results = {product: archive_search(product)}
+        
+        def process_product(product):
+            return product, archive_search(product)
+
+        with concurrent.futures.ThreadPoolExecutor() as executor:
+            # Map the process_product function to similar_products
+            future_to_product = {executor.submit(process_product, p): p for p in similar_products}
+
+            # Collect results as they complete
+            for future in concurrent.futures.as_completed(future_to_product):
+                product, result = future.result()
+                results[product] = result
+
+        return jsonify(results)
+
+    else:
+        return jsonify({'error': 'Invalid API key'}), 401
+
+
+@app.route('/search/github', methods=['GET','POST'])
+def search_github():
+        
+    if request.method == 'POST':
+        data = request.get_json()
+        api_key = data.get('API_KEY')
+        product = data.get('product')
+    else:
+        product = request.args.get('product')
+        api_key = request.args.get('API_KEY')
+
+    similar_products = extract_similar_products(product)
+
+    if api_key == API_KEY_DEFAULT:
+        results = {product: github_search(product)}
+        for p in similar_products:
+            results[p] = github_search(p)
+        return jsonify(results)
+
+    else:
+        return jsonify({'error': 'Invalid API key'}), 401
+
+
+@app.route('/search/all', methods=['GET','POST'])
+def search_all():
+
+    if request.method == 'POST':
+        data = request.get_json()
+        api_key = data.get('API_KEY')
+        product = data.get('product')
+    else:
+        product = request.args.get('product')
+        api_key = request.args.get('API_KEY')
+
+    similar_products = extract_similar_products(product)
+    
+
+    if api_key == API_KEY_DEFAULT:
+
+        results = {
+            product : [{'duckduckgo': duckduckgo_search(product)},{'google': google_search(product)},{'github': github_search(product)},{'archive': archive_search(product)}]
+        }
+        
+        def search_product(p):
+            return {
+                'product': p,
+                'duckduckgo': duckduckgo_search(p),
+                'google': google_search(p),
+                'github': github_search(p),
+                'archive': archive_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']}
+                ]
+
+        return jsonify(results)
+
+    else:
+        return jsonify({'error': 'Invalid API key'}), 401
+
+# Run the Flask app
+if __name__ == '__main__':
+    app.run(debug=True)
+