input: Write a function to optimize a Flask application for efficient performance, incorporating strategies such as using Redis for caching, employing uWSGI and gunicorn as WSGI servers, using Flask-Compress for compression, leveraging global variables, avoiding direct SQL queries, and utilizing query parameters in URLs.
  
  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 process_request('/api/test') == 'Optimization Code'
  assert process_request('/api/example') == 'Optimization Code'
  assert process_request('/api/sample') == 'Optimization Code'
output: def process_request(endpoint):
      from flask import Flask, request, jsonify
      import redis
      from flask_compress import Compress
  
      app = Flask(__name__)
      Compress(app)
  
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
  
      def get_cached_data(key):
          cached_data = redis_client.get(key)
          if cached_data:
              return cached_data.decode('utf-8')
          return None
  
      def set_cached_data(key, data):
          redis_client.set(key, data)
  
      global_data = {}
  
      def fetch_data_from_model(param):
          # Simulate fetching data from a model
          return f"Data for {param}"
  
      query_param = request.args.get('param')
      cache_key = f"{endpoint}_{query_param}"
  
      cached_result = get_cached_data(cache_key)
      if cached_result:
          return cached_result
  
      data = fetch_data_from_model(query_param)
      set_cached_data(cache_key, data)
  
      return data