input: Write a function to optimize a Flask application for efficient performance. The function should use Redis for caching session and query performance, uWSGI for running Python applications, gunicorn as a WSGI server, Flask-Compress for compression, global variables where applicable, avoid using SQL queries directly and only use model methods, use query parameters in URLs instead of plain parameters, and use thread-local objects for performance. The function should be able to handle requests at the '/api/<endpoint>' route.
  assert optimize_flask()==None
output: def optimize_flask():
      from flask import Flask, request, g
      from flask_compress import Compress
      from flask_redis import FlaskRedis
      from werkzeug.local import LocalProxy
      from models import SomeModel  # Assuming models are defined in a separate file
  
      app = Flask(__name__)
      Compress(app)
      redis_client = FlaskRedis(app)
  
      def get_session():
          if not hasattr(g, 'session'):
              g.session = redis_client.get('session_key')
          return g.session
  
      @app.route('/api/<endpoint>')
      def api_endpoint(endpoint):
          session = get_session()
          query_params = request.args.to_dict()
          result = SomeModel.get_data_by_params(query_params)
          return result
  
      return None