input: Write a function to optimize a Flask application for efficient performance. The function should include strategies such as using Redis for caching, employing uWSGI and gunicorn, applying Flask-Compress for compression, using global variables where applicable, avoiding direct SQL queries, utilizing query parameters in URLs, and using thread-local objects for performance improvements.
  
  from flask import Flask, request, jsonify
  
  def optimize_flask_app():
      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({"status": "success", "endpoint": endpoint})
  
      return app
  
  assert optimize_flask_app()
output: 
  from flask import Flask, request, jsonify
  import redis
  from flask_compress import Compress
  import threading
  
  def optimize_flask_app():
      app = Flask(__name__)
      Compress(app)
  
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
      thread_local = threading.local()
  
      @app.before_request
      def before_request():
          if not hasattr(thread_local, 'session'):
              thread_local.session = {}
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Use Redis for caching session and query performance
          cached_data = redis_client.get(endpoint)
          if cached_data:
              return jsonify(eval(cached_data))
  
          # Use global variables where applicable
          global_var = "global_value"
  
          # Don't use sql queries directly, always use model methods
          # Example: result = Model.query_method()
  
          # Use query parameter in URLs instead of plain parameters
          query_param = request.args.get('param')
  
          # Use thread-local objects for performance
          thread_local.session['key'] = 'value'
  
          # Example response
          response = {"status": "success", "endpoint": endpoint, "global_var": global_var, "query_param": query_param}
  
          # Cache the response
          redis_client.set(endpoint, str(response))
  
          return jsonify(response)
  
      return app
  