input: Write a function to optimize a Flask application for efficient performance. The function should implement the following optimizations: 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, avoid using SQL queries directly and always use model methods, use query parameters in URLs instead of plain parameters, and use thread-local objects for performance.
  from flask import Flask, request, jsonify
  
  app = Flask(__name__)
  
  def optimize_flask_app():
      # 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 optimize_flask_app() is None
output: def optimize_flask_app():
      from flask_caching import Cache
      from flask_compress import Compress
      import redis
      import threading
  
      global app
      cache = Cache(app, config={'CACHE_TYPE': 'redis', 'CACHE_REDIS_URL': 'redis://localhost:6379/0'})
      Compress(app)
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
      thread_local = threading.local()
  
      @app.before_request
      def before_request():
          thread_local.session = redis_client.get('session')
  
      @app.after_request
      def after_request(response):
          redis_client.set('session', thread_local.session)
          return response
  
      @app.route('/endpoint')
      def endpoint():
          query_param = request.args.get('param')
          # Use model methods instead of direct SQL queries
          result = model_method(query_param)
          return jsonify(result)