code: def test_add_percent_pass(self, caplog):
      metrics_cache_obj = MetricsCacheYamlImpl(
          os.path.join(dir_path, "metrics.yaml")
      )
      caplog.set_level("INFO")
      dimensions = [Dimension("ModelName", "test_add_percent_pass")]
      uid1 = str(uuid.uuid4())
      uid2 = str(uuid.uuid4())
      request_id_map = {1: uid1, 2: uid2}
      metrics_cache_obj.set_request_ids(request_id_map)
      metrics_cache_obj.add_percent(
          "PercentMetric", 11, uid1, dimensions
      )
      assert (
          "[METRICS]PercentMetric.Percent:11|#ModelName:test_add_percent_pass,Level:Model|"
          in caplog.text
      )
      assert str(uid1) in caplog.text
      metric = metrics_cache_obj.get_metric(
          "PercentMetric", MetricTypes.GAUGE
      )
      metric.update(22, request_id=uid2, dimensions=dimensions)
      assert (
          "[METRICS]PercentMetric.Percent:22|#ModelName:test_add_percent_pass,Level:Model|"
          in caplog.text
      )
      assert str(uid2) in caplog.text
  
imports: import os
  import uuid
  import pytest
  import ts.metrics.metric_cache_errors
  from ts.metrics.caching_metric import CachingMetric
  from ts.metrics.dimension import Dimension
  from ts.metrics.metric_cache_yaml_impl import MetricsCacheYamlImpl
  from ts.metrics.metric_type_enum import MetricTypes
label_desc: Use image node_id 8 for calling the TestAdditionalMetricMethods obj's underlying member method code with example usage: obj.test_add_percent_pass(caplog) without return types