text: import uuid
  import json
  
  from .socket_handler import SocketHandler
  from ..codes import MSG_FIELD, RESPONSE_MSG, CYCLE
  from ..processes import processes
  from ..auth import workers
  
  # Singleton socket handler
  handler = SocketHandler()
  
  
  def host_federated_training(message: dict, socket) -> str:
      """This will allow for training cycles to begin on end-user devices.
          Args:
              message : Message body sended by some client.
              socket: Socket descriptor.
          Returns:
              response : String response to the client
      """
      data = message[MSG_FIELD.DATA]
      response = {}
  
      try:
          # Retrieve JSON values
          serialized_model = data.get(MSG_FIELD.MODEL, None)  # Only one
          serialized_client_plans = data.get(CYCLE.PLANS, None)  # 1 or *
          serialized_client_protocols = data.get(CYCLE.PROTOCOLS, None)  # 0 or *
          serialized_avg_plan = data.get(CYCLE.AVG_PLAN, None)  # Only one
          client_config = data.get(CYCLE.CLIENT_CONFIG, None)  # Only one
          server_config = data.get(CYCLE.SERVER_CONFIG, None)  # Only one
  
          # Create a new FL Process
          processes.create_process(
              model=serialized_model,
              client_plans=serialized_client_plans,
              client_protocols=serialized_client_protocols,
              server_averaging_plan=serialized_avg_plan,
              client_config=client_config,
              server_config=server_config,
          )
  
      except Exception as e:  # Retrieve exception messages such as missing JSON fields.
          response[RESPONSE_MSG.ERROR] = str(e)
  
      return json.dumps(response)
  
  
  def authenticate(message: dict, socket) -> str:
      """ New workers should receive a unique worker ID after authenticate on PyGrid platform.
          Args:
              message : Message body sended by some client.
              socket: Socket descriptor.
          Returns:
              response : String response to the client
      """
      response = {}
  
      # Create a new worker instance and bind it with the socket connection.
      try:
          # Create new worker id
          worker_id = str(uuid.uuid4())
  
          # Create a link between worker id and socket descriptor
          handler.new_connection(worker_id, socket)
  
          # Create worker instance
          workers.create_worker(worker_id)
  
          response[MSG_FIELD.WORKER_ID] = worker_id
  
      except Exception as e:  # Retrieve exception messages such as missing JSON fields.
          response[RESPONSE_MSG.ERROR] = str(e)
  
      return json.dumps(response)
  
  
  def cycle_request(message: dict, socket) -> str:
      """This event is where the worker is attempting to join an active federated learning cycle.
          Args:
              message : Message body sended by some client.
              socket: Socket descriptor.
          Returns:
              response : String response to the client
      """
      data = message[MSG_FIELD.DATA]
      response = {}
  
      try:
          # Retrieve JSON values
          worker_id = data.get(MSG_FIELD.WORKER_ID, None)
          model_id = data.get(MSG_FIELD.MODEL, None)
          version = data.get(CYCLE.VERSION, None)
          ping = data.get(CYCLE.PING, None)
          download = data.get(CYCLE.DOWNLOAD, None)
          upload = data.get(CYCLE.UPLOAD, None)
  
          # Retrieve the worker
          worker = workers.get_worker(worker_id)
  
          # The last time this worker was assigned for this model/version.
          last_participation = processes.last_participation(worker_id, model_id, version)
  
          # Retrieve the last cycle created for this model_id/version
          cycle = processes.get_cycle(model_id, version)
  
          _accepted = False
  
          if worker and cycle:
              _accepted = cycle.assign(worker_id, upload, download, last_participation)
  
          ### MOCKUP ###
  
          # Build response
          if _accepted:
              worker.register_cycle(cycle.hash, cycle)
              response[CYCLE.STATUS] = "accepted"
              response[MSG_FIELD.MODEL] = cycle.fl_process.model
              response[CYCLE.VERSION] = version
              response[CYCLE.KEY] = cycle.hash
              response[CYCLE.PLANS] = cycle.fl_process.client_plans
              response[CYCLE.PROTOCOLS] = cycle.fl_process.client_protocols
              response[CYCLE.CLIENT_CONFIG] = cycle.fl_process.client_config
              response[MSG_FIELD.MODEL_ID] = model_id
          else:
              # If worker_id already exists in the current cycle, return False.
              response[CYCLE.STATUS] = "rejected"
              response[CYCLE.TIMEOUT] = cycle.remaining_time + 1
  
      except Exception as e:  # Retrieve exception messages such as missing JSON fields.
          response[RESPONSE_MSG.ERROR] = str(e)
  
      return json.dumps(response)
  
  
  def report(message: dict, socket) -> str:
      """ This method will allow a worker that has been accepted into a cycle
          and finished training a model on their device to upload the resulting model diff.
          Args:
              message : Message body sended by some client.
              socket: Socket descriptor.
          Returns:
              response : String response to the client
      """
      data = message[MSG_FIELD.DATA]
      response = {}
  
      try:
          model_id = data.get(MSG_FIELD.MODEL, None)
          request_key = data.get(CYCLE.KEY, None)
          diff = data.get(CYCLE.DIFF, None)
  
          # TODO:
          # Perform Secure Aggregation
          # Update Model weights
  
          response[CYCLE.STATUS] = "success"
      except Exception as e:  # Retrieve exception messages such as missing JSON fields.
          response[RESPONSE_MSG.ERROR] = str(e)
  
      return json.dumps(response)
  