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, and avoid direct SQL queries by always using model methods. Additionally, it should use query parameters in URLs instead of plain parameters and thread-local objects for performance.
  
  from flask import Flask, request, jsonify
  
  app = Flask(__name__)
  
  @app.route('/api/<endpoint>', methods=['GET', 'POST'])
  def process_request(endpoint):
      # Performance optimization
      # 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
  
      # Your code here
  
  assert optimize_flask_app() is None
output: 
  def optimize_flask_app():
      import redis
      from flask_compress import Compress
      from threading import local
      from models import Model
  
      # Use Redis for caching session and query performance
      cache = redis.Redis(host='localhost', port=6379, db=0)
  
      # Use Flask-Compress extension for compression
      Compress(app)
  
      # Use global variables where applicable
      thread_local = local()
  
      @app.before_request
      def before_request():
          thread_local.model = Model()
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Use query parameter in URLs instead of plain parameters
          query_params = request.args
  
          # Don't use sql queries directly, always use model methods
          result = thread_local.model.get_data(query_params)
  
          return jsonify(result)
  
      # Use uWSGI for Python applications and gunicorn as WSGI server
      # These are server configurations and should be set up separately.
      return None
  