import os
import requests
import numpy as np
import logging
from flask import Flask, jsonify, request
from transformers import pipeline
 
# Initialize logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
 
# Flask app for interaction
app = Flask(__name__)
 
# Load the NLP model once to improve performance
try:
    summarizer = pipeline("summarization")
except Exception as e:
    logger.error('Error loading summarization model: %s', e)
    summarizer = None
 
# ------------------- Online Trading Module ------------------- #
def fetch_trading_data(symbol="AAPL"):
    """Fetch trading data using an API like Yahoo Finance."""
    url = f"https://q...content-available-to-author-only...o.com/v7/finance/quote?symbols={symbol}"
    try:
        response = requests.get(url)
        response.raise_for_status()  # Raise an error for bad responses
        data = response.json()
        return data["quoteResponse"]["result"]
    except requests.exceptions.RequestException as e:
        logger.error('Error fetching trading data: %s', e)
        return []
 
def trading_strategy(data):
    """Simple moving average strategy."""
    prices = [item["regularMarketPrice"] for item in data]
    if len(prices) > 1 and prices[-1] > np.mean(prices[:-1]):
        return "BUY"
    else:
        return "SELL"
 
# ------------------- Cybersecurity Module ------------------- #
def detect_intrusion(logs):
    """Simple mock intrusion detection."""
    threats = [log for log in logs if "malicious" in log.lower()]
    return threats
 
# ------------------- NLP Module ------------------- #
def summarize_text(text):
    """Use Hugging Face pipeline for summarization."""
    if summarizer is not None:
        try:
            summary = summarizer(text, max_length=50, min_length=25, do_sample=False)
            return summary[0]["summary_text"]
        except Exception as e:
            logger.error('Error during text summarization: %s', e)
            return 'Error during summarization.'
    return 'Summarizer not initialized.'
 
# ------------------- Flask API ------------------- #
@app.route('/trading/<symbol>', methods=['GET'])
def trading(symbol):
    data = fetch_trading_data(symbol)
    if not data:
        return jsonify({"error": "Failed to fetch trading data."}), 500
    decision = trading_strategy(data)
    return jsonify({"symbol": symbol, "decision": decision})
 
@app.route('/cybersecurity', methods=['POST'])
def cybersecurity():
    logs = request.json.get("logs", [])
    if not isinstance(logs, list):
        return jsonify({"error": "Logs must be provided as a list."}), 400
    threats = detect_intrusion(logs)
    return jsonify({"threats": threats})
 
@app.route('/summarize', methods=['POST'])
def nlp_summary():
    text = request.json.get("text", "")
    if not text:
        return jsonify({"error": "Text must be provided."}), 400
    summary = summarize_text(text)
    return jsonify({"summary": summary})
 
if __name__ == "__main__":
    app.run(debug=True)

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