input: Write a function to optimize a Flask application for efficient performance. The function should include the use of Redis for caching, uWSGI and gunicorn as servers, Flask-Compress for compression, global variables where applicable, model methods instead of direct SQL queries, query parameters in URLs, and thread-local objects for performance. The input is a Flask application object, and the output is the optimized Flask application object.
  
  assert optimize_flask_app(app) == optimized_app
  assert optimized_app.config['REDIS_ENABLED'] == True
  assert optimized_app.config['COMPRESS_MIMETYPES'] == ['text/html', 'text/css', 'application/json']
  assert optimized_app.config['THREAD_LOCAL'] == True
output: def optimize_flask_app(app):
      import redis
      from flask_compress import Compress
      from threading import local
  
      app.config['REDIS_ENABLED'] = True
      app.config['COMPRESS_MIMETYPES'] = ['text/html', 'text/css', 'application/json']
      app.config['THREAD_LOCAL'] = True
  
      redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
      app.redis_client = redis_client
  
      Compress(app)
  
      app.thread_local = local()
  
      return app