input: Write a function to optimize a Flask application for efficient performance. The function should include using Redis for caching, uWSGI for Python applications, gunicorn as WSGI server, Flask-Compress extension for compression, using global variables where applicable, avoiding direct SQL queries, using query parameters in URLs, and using thread-local objects for performance.
  
  from flask import Flask, request, jsonify
  
  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
      
  assert process_request('/api/endpoint')==None
  assert process_request('/api/another_endpoint')==None
output: 
  from flask import Flask, request, jsonify, g
  import redis
  import flask_compress
  
  app = Flask(__name__)
  flask_compress.Compress(app)
  
  redis_client = redis.StrictRedis(host='localhost', port=6379, db=0)
  
  @app.before_request
  def before_request():
      g.redis = redis_client
  
  @app.route('/api/<endpoint>', methods=['GET', 'POST'])
  def process_request(endpoint):
      # Use Redis for caching session and query performance
      cached_data = g.redis.get(endpoint)
      if cached_data:
          return jsonify(cached_data)
  
      # Use global variables where applicable
      global_var = "some_global_value"
  
      # Don't use sql queries directly, always use model methods
      # Assume model_method is a function that interacts with the database
      data = model_method(endpoint)
  
      # Use query parameter in URLs instead of plain parameters
      query_param = request.args.get('param')
  
      # Use thread-local objects for performance
      g.data = data
  
      # Cache the result in Redis
      g.redis.set(endpoint, data)
  
      return jsonify(data)
  