input: Write a function to optimize a Flask application for efficient performance, including the use of Redis for caching, uWSGI and gunicorn for the server, Flask-Compress for compression, global variables where applicable, avoiding direct SQL queries, using query parameters in URLs, and utilizing thread-local objects.
  
  from flask import Flask, request, jsonify
  
  app = Flask(__name__)
  
  @app.route('/api/<endpoint>', methods=['GET', 'POST'])
  def optimize_flask_app(endpoint):
      # 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"})
  
  assert optimize_flask_app('sample_endpoint')=={"status": "optimized"}
output: 
  from flask import Flask, request, jsonify
  import redis
  import threading
  import flask_compress
  
  app = Flask(__name__)
  flask_compress.Compress(app)
  
  redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
  thread_local = threading.local()
  
  @app.route('/api/<endpoint>', methods=['GET', 'POST'])
  def optimize_flask_app(endpoint):
      # Use Redis for caching session and query performance
      cache_key = f"cache:{endpoint}:{request.args.to_dict()}"
      cached_result = redis_client.get(cache_key)
      if cached_result:
          return jsonify(eval(cached_result))
  
      # Use global variables where applicable
      if not hasattr(thread_local, 'counter'):
          thread_local.counter = 0
      thread_local.counter += 1
  
      # Don't use sql queries directly, always use model methods
      # Assuming model_method is a placeholder for a method that interacts with the database
      result = model_method(endpoint, request.args)
  
      # Use query parameter in URLs instead of plain parameters
      # This is already handled by Flask's request.args
  
      # Use thread-local objects for performance
      # thread_local.counter is already used above
  
      # Cache the result in Redis
      redis_client.set(cache_key, str(result))
  
      return jsonify({"status": "optimized"})
  