input: Write a function to optimize a Flask application for efficient performance. The function should use Redis for caching session and query performance, uWSGI for Python applications, gunicorn as WSGI server, Flask-Compress extension for compression, global variables where applicable, model methods instead of direct SQL queries, query parameters in URLs instead of plain parameters, and thread-local objects for performance.
  
  from flask import Flask, request, jsonify
  
  app = Flask(__name__)
  
  def optimize_flask_application():
      # Use Redis for caching session and query performance
      # Use uWSGI for Python applications
      # Use gunicorn as WSGI server
      # Use Flask-Compress extension for compression
      # Use global variables where applicable
      # Don't use sql queries directly, always use model methods
      # Use query parameter in URLs instead of plain parameters
      # Use thread-local objects for performance
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Your code here
  
  assert optimize_flask_application() == None
  assert callable(optimize_flask_application) == True
output: 
  def optimize_flask_application():
      import redis
      from flask_compress import Compress
      from threading import local
  
      # Use Redis for caching session and query performance
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
  
      # Use Flask-Compress extension for compression
      Compress(app)
  
      # Use global variables where applicable
      thread_local = local()
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Use query parameter in URLs instead of plain parameters
          query_params = request.args.to_dict()
  
          # Use thread-local objects for performance
          if not hasattr(thread_local, 'counter'):
              thread_local.counter = 0
          thread_local.counter += 1
  
          # Don't use sql queries directly, always use model methods
          # Example: result = Model.query_method(query_params)
  
          # Use Redis for caching session and query performance
          cached_result = redis_client.get(endpoint)
          if cached_result:
              return jsonify(cached_result)
  
          # Example of a model method call
          # result = Model.query_method(query_params)
          # redis_client.set(endpoint, result)
  
          return jsonify({'status': 'processed'})
  