code: def test_auto_detect_backend_metrics_log_mode():
      """
      Validates that auto-detection of backend metrics works with log mode
      """
      # Torchserve cleanup
      test_utils.stop_torchserve()
      test_utils.delete_all_snapshots()
      # Remove existing logs if any
      for f in glob.glob("logs/*.log"):
          os.remove(f)
  
      config_file = os.path.join(
          test_utils.ROOT_DIR, "config.properties"
      )
      with open(config_file, "w") as f:
          f.write("enable_envvars_config=true")
  
      os.environ["TS_METRICS_CONFIG"] = os.path.join(
          test_utils.REPO_ROOT,
          "test",
          "pytest",
          "test_data",
          "metrics",
          "metrics_auto_detect.yaml",
      )
      os.environ["TS_MODEL_METRICS_AUTO_DETECT"] = "true"
  
      try:
          test_utils.start_torchserve(
              model_store=test_utils.MODEL_STORE,
              snapshot_file=config_file,
              no_config_snapshots=True,
              gen_mar=False,
          )
          register_model_and_make_inference_request()
          validate_metrics_log(
              "model_metrics.log", BACKEND_METRICS, True
          )
          validate_metrics_log(
              "model_metrics.log", AUTO_DETECT_BACKEND_METRICS, True
          )
      finally:
          test_utils.stop_torchserve()
          test_utils.delete_all_snapshots()
          del os.environ["TS_METRICS_CONFIG"]
          del os.environ["TS_MODEL_METRICS_AUTO_DETECT"]
          os.remove(config_file)
  
imports: import glob
  import os
  import platform
  import re
  import shutil
  import subprocess
  import time
  from os import path
  import requests
  import test_utils
label_desc: Use image node_id 25 for calling a global function with example usage: test_auto_detect_backend_metrics_log_mode() without return types