code: def describe_run(run_id):
      """
      All of run details will print to the stdout as JSON format.
      """
      store = _get_store()
      run = store.get_run(run_id)
      json_run = json.dumps(run.to_dictionary(), indent=4)
      click.echo(json_run)
  
file_path: mlflow/mlflow/runs.py
imports: import json
  import click
  from mlflow.entities import ViewType
  from mlflow.environment_variables import MLFLOW_EXPERIMENT_ID
  from mlflow.tracking import _get_store
  from mlflow.utils.string_utils import _create_table
  from mlflow.utils.time import conv_longdate_to_str
label_desc: Use image node_id 5 for calling a global function with example usage: describe_run(run_id) without return types