from flask import Flask, render_template, request, jsonify
import google.generativeai as genai
import os
from dotenv import load_dotenv
import http.client
import json
from werkzeug.utils import secure_filename

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = 'temp'
app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024  # 16MB max file size

load_dotenv()

# Configure the API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

safety_settings = [
    {"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT", "threshold": "BLOCK_NONE"},
    {"category": "HARM_CATEGORY_DANGEROUS_CONTENT", "threshold": "BLOCK_NONE"},
]

model = genai.GenerativeModel('gemini-2.0-flash-exp', 
                            tools='code_execution',
                            safety_settings=safety_settings,
                            system_instruction="Tu es un assistant intelligent. ton but est d'assister au mieux que tu peux. tu as été créé par Aenir et tu t'appelles Mariam")

def perform_web_search(query):
    conn = http.client.HTTPSConnection("google.serper.dev")
    payload = json.dumps({"q": query})
    headers = {
        'X-API-KEY': '9b90a274d9e704ff5b21c0367f9ae1161779b573',
        'Content-Type': 'application/json'
    }
    try:
        conn.request("POST", "/search", payload, headers)
        res = conn.getresponse()
        data = json.loads(res.read().decode("utf-8"))
        return data
    except Exception as e:
        return {"error": str(e)}
    finally:
        conn.close()

def format_search_results(data):
    if not data:
        return "Aucun résultat trouvé"
    
    result = ""
    
    if 'knowledgeGraph' in data:
        kg = data['knowledgeGraph']
        result += f"### {kg.get('title', '')}\n"
        result += f"*{kg.get('type', '')}*\n\n"
        result += f"{kg.get('description', '')}\n\n"
    
    if 'organic' in data:
        result += "### Résultats principaux:\n"
        for item in data['organic'][:3]:
            result += f"- **{item['title']}**\n"
            result += f"  {item['snippet']}\n"
            result += f"  [Lien]({item['link']})\n\n"
    
    return result

@app.route('/')
def home():
    return render_template('index.html')

@app.route('/chat', methods=['POST'])
def chat():
    data = request.json
    prompt = data.get('message')
    web_search_enabled = data.get('web_search', False)
    
    try:
        web_results = None
        if web_search_enabled:
            web_results = perform_web_search(prompt)
            if web_results and 'error' not in web_results:
                formatted_results = format_search_results(web_results)
                prompt = f"""Question: {prompt}\n\nRésultats de recherche web:\n{formatted_results}\n\nPourrais-tu analyser ces informations et me donner une réponse complète?"""
        
        response = model.generate_content(prompt)
        return jsonify({"response": response.text})
    
    except Exception as e:
        return jsonify({"error": str(e)}), 500

@app.route('/upload', methods=['POST'])
def upload_file():
    if 'file' not in request.files:
        return jsonify({"error": "No file part"}), 400
    
    file = request.files['file']
    if file.filename == '':
        return jsonify({"error": "No selected file"}), 400
    
    if file:
        filename = secure_filename(file.filename)
        filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
        file.save(filepath)
        
        try:
            gemini_file = genai.upload_file(filepath)
            return jsonify({"success": True, "filename": filename})
        except Exception as e:
            return jsonify({"error": str(e)}), 500

if __name__ == '__main__':
    os.makedirs("temp", exist_ok=True)
    app.run(debug=True)