input: Write a function to optimize a Flask application for efficient performance. The function should implement techniques such as using Redis for caching, uWSGI and gunicorn for serving the application, Flask-Compress for compression, using global variables where applicable, avoiding direct SQL queries, using query parameters in URLs, and employing 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
          return jsonify({"message": "Flask app optimized"})
  
      return app
  
  # Test case
  flask_app = optimize_flask_app()
  assert flask_app != None
  assert 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_client = redis.StrictRedis(host='localhost', port=6379, db=0)
      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_data = redis_client.get(cache_key)
          if cached_data:
              return jsonify(cached_data.decode('utf-8'))
  
          # Use global variables where applicable
          global_var = "Global Value"
  
          # Don't use sql queries directly, always use model methods
          # Assume model_method is a placeholder for a model method
          result = model_method(request.args.get('param'))
  
          # Use query parameter in URLs instead of plain parameters
          param = request.args.get('param')
  
          # Use thread-local objects for performance
          if not hasattr(thread_local, 'counter'):
              thread_local.counter = 0
          thread_local.counter += 1
  
          # Store result in cache
          redis_client.set(cache_key, result)
  
          return jsonify({"message": "Flask app optimized", "result": result, "global_var": global_var, "counter": thread_local.counter})
  
      return app