input: Write a function to optimize a Flask application for efficient performance. The function should apply various performance optimization techniques such as using Redis for caching, utilizing uWSGI and gunicorn as WSGI servers, employing Flask-Compress for compression, using global variables where appropriate, avoiding direct SQL queries, utilizing query parameters in URLs, and leveraging thread-local objects. The function should return a Flask app object that has been optimized for performance.
  assert optimize_flask_app()==<optimized Flask app object>
  assert optimize_flask_app()==<optimized Flask app object>
  assert optimize_flask_app()==<optimized Flask app object>
  assert optimize_flask_app()==<optimized Flask app object>
  assert optimize_flask_app()==<optimized Flask app object>
output: def optimize_flask_app():
      from flask import Flask
      from flask_compress import Compress
      import redis
      import threading
  
      app = Flask(__name__)
      Compress(app)
  
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
      thread_local = threading.local()
  
      @app.before_request
      def before_request():
          thread_local.redis_client = redis_client
  
      @app.route('/')
      def index():
          redis_client = getattr(thread_local, 'redis_client', None)
          if redis_client:
              cached_data = redis_client.get('cached_data')
              if cached_data:
                  return cached_data.decode('utf-8')
          # Simulate a database query or other expensive operation
          data = "Hello, optimized Flask!"
          redis_client.set('cached_data', data)
          return data
  
      return app