input: Write a function to optimize a Flask application for efficient performance. The function should include the use of Redis for caching, uWSGI for Python applications, gunicorn as the WSGI server, Flask-Compress for compression, global variables where applicable, model methods instead of direct SQL queries, query parameters in URLs, and thread-local objects for performance.
  
  assert optimize_flask_app() == None
output: def optimize_flask_app():
      from flask import Flask, g
      from flask_compress import Compress
      import redis
      import threading
  
      app = Flask(__name__)
      Compress(app)
  
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
  
      @app.before_request
      def before_request():
          g.redis = redis_client
          g.thread_local = threading.local()
  
      class Model:
          @staticmethod
          def get_data(query_param):
              cached_data = g.redis.get(query_param)
              if cached_data:
                  return cached_data
              # Simulate fetching data from a database
              data = f"Data for {query_param}"
              g.redis.set(query_param, data)
              return data
  
      @app.route('/data/<query_param>')
      def get_data(query_param):
          return Model.get_data(query_param)
  
      # Additional optimizations:
      # - Use uWSGI for Python applications
      # - Use gunicorn as the WSGI server
      # - Use global variables where applicable
      # - Use model methods instead of direct SQL queries
      # - Use query parameters in URLs
      # - Use thread-local objects for performance
  
      return None