input: Write a function to optimize a Flask application for efficient performance. The function should implement the following optimizations: use Redis for caching, use uWSGI and gunicorn as WSGI servers, use Flask-Compress for compression, use global variables where applicable, avoid direct SQL queries in favor of model methods, use query parameters in URLs, and use thread-local objects for better performance. The function should return the optimized Flask app instance.
  
  def optimize_flask_app():
      from flask import Flask, request, jsonify
      import redis
      from flask_compress import Compress
  
      app = Flask(__name__)
      Compress(app)
      redis_cache = redis.Redis(host='localhost', port=6379, db=0)
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Performance optimization
          # Use Redis for caching session and query performance
          # 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({'message': 'Processed successfully'})
  
      return app
  
  assert optimize_flask_app().test_client().get('/api/test').status_code==200
  assert optimize_flask_app().test_client().post('/api/test').status_code==200
output: def optimize_flask_app():
      from flask import Flask, request, jsonify
      import redis
      from flask_compress import Compress
      import threading
  
      app = Flask(__name__)
      Compress(app)
      redis_cache = redis.Redis(host='localhost', port=6379, db=0)
      thread_local = threading.local()
  
      @app.route('/api/<endpoint>', methods=['GET', 'POST'])
      def process_request(endpoint):
          # Use Redis for caching session and query performance
          cache_key = f'{endpoint}_{request.method}_{request.args}'
          cached_response = redis_cache.get(cache_key)
          if cached_response:
              return jsonify(cached_response)
  
          # Use global variables where applicable
          global_var = getattr(thread_local, 'global_var', None)
          if global_var is None:
              global_var = "Initialized"
              setattr(thread_local, 'global_var', global_var)
  
          # 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
          query_params = request.args
  
          # Use thread-local objects for performance
          thread_local_var = getattr(thread_local, 'thread_local_var', None)
          if thread_local_var is None:
              thread_local_var = "Thread-local Initialized"
              setattr(thread_local, 'thread_local_var', thread_local_var)
  
          response = {'message': 'Processed successfully', 'result': result, 'query_params': query_params}
          redis_cache.set(cache_key, response)
          return jsonify(response)
  
      return app