input: Write a function to optimize a Flask application for efficient performance. The function should utilize 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
  
  def optimize_flask_app():
      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
          return jsonify({"status": "optimized"})
  
      return app
  
  assert optimize_flask_app() != None
output: 
  from flask import Flask, request, jsonify
  from flask_compress import Compress
  import redis
  import threading
  
  def optimize_flask_app():
      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('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          redis_client = thread_local.redis_client
          cached_data = redis_client.get(endpoint)
          if cached_data:
              return jsonify(cached_data)
  
          # Example model method call instead of direct SQL query
          result = model_method(endpoint)
  
          redis_client.set(endpoint, result)
          return jsonify({"status": "optimized", "data": result})
  
      return app
  