input: Write a function to optimize a Flask application for efficient performance. The function should use techniques such as Redis for caching, 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.
  def optimize_flask_app():
      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
          pass
  
      return app
  
  assert optimize_flask_app().name == '__main__'
output: 
  def optimize_flask_app():
      from flask import Flask, request, jsonify
      from flask_compress import Compress
      import redis
      import threading
  
      app = Flask(__name__)
      Compress(app)
  
      # Redis setup for caching
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
  
      # Global variable for thread-local storage
      thread_local = threading.local()
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Use Redis for caching session and query performance
          cache_key = f"cache:{endpoint}:{request.args.get('param')}"
          cached_result = redis_client.get(cache_key)
          if cached_result:
              return jsonify(result=cached_result.decode('utf-8'))
  
          # Use model methods instead of direct SQL queries
          result = model_method(request.args.get('param'))
  
          # Cache the result for future use
          redis_client.set(cache_key, result)
  
          return jsonify(result=result)
  
      return app
  