input: Write a function to optimize a Flask application for efficient performance. The function should include using Redis for caching, uWSGI and gunicorn for server performance, Flask-Compress for compression, global variables where applicable, model methods instead of direct SQL queries, 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() == "Flask application optimized for performance"
output: def optimize_flask_app():
      import redis
      from flask_compress import Compress
      from threading import local
  
      # Redis for caching
      cache = redis.Redis(host='localhost', port=6379, db=0)
  
      # Flask-Compress for compression
      Compress(app)
  
      # Global variables
      global_var = "Global variable"
  
      # Thread-local objects
      thread_local = local()
      thread_local.data = "Thread-local data"
  
      # Model methods instead of direct SQL queries
      class Model:
          @staticmethod
          def get_data():
              return "Data from model method"
  
      # Use query parameter in URLs
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Use Redis for caching
          cached_data = cache.get(endpoint)
          if cached_data:
              return jsonify(cached_data)
  
          # Use model methods
          data = Model.get_data()
  
          # Cache the result
          cache.set(endpoint, data)
  
          return jsonify(data)
  
      return "Flask application optimized for performance"