class_docstr: Manages metrics for the replica.
  
  A variety of metrics are managed:
      - Fine-grained metrics are set for every request.
      - Autoscaling statistics are periodically pushed to the controller.
      - Queue length metrics are periodically recorded as user-facing gauges.
class_docstr_tok: ["Manages","metrics","for","the","replica",".","A","variety","of","metrics","are","managed",":","-","Fine-grained","metrics","are","set","for","every","request",".","-","Autoscaling","statistics","are","periodically","pushed","to","the","controller",".","-","Queue","length","metrics","are","periodically","recorded","as","user-facing","gauges","."]
code: def _set_replica_requests_metrics(self):
      self._num_processing_items.set(self._get_num_running_requests())
      self._num_pending_items.set(self._get_num_pending_requests())
  
imports: import asyncio
  import inspect
  import logging
  import os
  import pickle
  import time
  import traceback
  from contextlib import contextmanager
  from importlib import import_module
  from typing import Any, AsyncGenerator, Callable, Dict, Optional, Tuple, Union
  import starlette.responses
  import ray
  from ray import cloudpickle
  from ray._private.utils import get_or_create_event_loop
  from ray.actor import ActorClass
  from ray.remote_function import RemoteFunction
  from ray.serve import metrics
  from ray.serve._private.autoscaling_metrics import InMemoryMetricsStore
  from ray.serve._private.common import DeploymentID, ReplicaName, ReplicaTag, ServeComponentType, StreamingHTTPRequest, gRPCRequest
  from ray.serve._private.config import DeploymentConfig
  from ray.serve._private.constants import DEFAULT_LATENCY_BUCKET_MS, GRPC_CONTEXT_ARG_NAME, HEALTH_CHECK_METHOD, RAY_SERVE_GAUGE_METRIC_SET_PERIOD_S, RAY_SERVE_REPLICA_AUTOSCALING_METRIC_RECORD_PERIOD_S, RECONFIGURE_METHOD, REPLICA_CONTROL_PLANE_CONCURRENCY_GROUP, SERVE_CONTROLLER_NAME, SERVE_LOGGER_NAME, SERVE_NAMESPACE
  from ray.serve._private.http_util import ASGIAppReplicaWrapper, ASGIArgs, ASGIReceiveProxy, MessageQueue, Response
  from ray.serve._private.logging_utils import access_log_msg, configure_component_cpu_profiler, configure_component_logger, configure_component_memory_profiler, get_component_logger_file_path
  from ray.serve._private.router import RequestMetadata
  from ray.serve._private.utils import MetricsPusher, merge_dict, parse_import_path, wrap_to_ray_error
  from ray.serve._private.version import DeploymentVersion
  from ray.serve.config import AutoscalingConfig
  from ray.serve.deployment import Deployment
  from ray.serve.exceptions import RayServeException
  from ray.serve.schema import LoggingConfig
label_desc: Use image node_id 9 for calling the ReplicaMetricsManager obj's underlying member method code with example usage: obj._set_replica_requests_metrics() without return types