input: Write a function to optimize a Flask application for efficient performance. The function should incorporate strategies such as using Redis for caching, uWSGI and gunicorn for server performance, Flask-Compress for compression, global variables where applicable, model methods for database interactions, query parameters in URLs, and thread-local objects for performance. If the input is not applicable, return the optimized Flask application code.
  assert optimize_flask()==from flask import Flask, request, jsonify\n\napp = Flask(__name__)\n\n@app.route('/api/<endpoint>', methods=['GET', 'POST'])\ndef process_request(endpoint):\n    # Performance optimization\n    # Use Redis for caching session and query performance\n    # Use uWSGI for Python applications\n    # Use gunicorn as WSGI server\n    # Use Flask-Compress extension for compression\n    # Use global variables where applicable\n    # Don't use sql queries directly, always use model methods\n    # Use query parameter in URLs instead of plain parameters\n    # Use thread-local objects for performance\n\n    # Your code here
output: 
  from flask import Flask, request, jsonify
  import redis
  from flask_compress import Compress
  import threading
  
  app = Flask(__name__)
  Compress(app)
  
  # Use Redis for caching
  redis_cache = redis.StrictRedis(host='localhost', port=6379, db=0)
  
  # Use global variables where applicable
  global_var = None
  
  # Use thread-local objects for performance
  thread_local = threading.local()
  
  @app.route('/api/<endpoint>', methods=['GET', 'POST'])
  def process_request(endpoint):
      # Performance optimization
      # Use Redis for caching session and query performance
      cache_key = f"cache_{endpoint}_{request.args.get('param')}"
      cached_data = redis_cache.get(cache_key)
      if cached_data:
          return jsonify(cached_data)
  
      # Use model methods for database interactions
      data = model_method(endpoint, request.args.get('param'))
  
      # Cache the result
      redis_cache.set(cache_key, data)
  
      return jsonify(data)
  
  def model_method(endpoint, param):
      # Simulate a model method
      return {"endpoint": endpoint, "param": param}
  