Enhance logging logic in ConfigWorkflow (#7745)

When using nvflare with monai bundle, the logging logic may be overrided
by the logging logic in the bundle.
Add an option to disable logging logic in the bundle.

### Types of changes
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [x] Non-breaking change (fix or new feature that would not break
existing functionality).
- [ ] Breaking change (fix or new feature that would cause existing
functionality to change).
- [ ] New tests added to cover the changes.
- [ ] Integration tests passed locally by running `./runtests.sh -f -u
--net --coverage`.
- [ ] Quick tests passed locally by running `./runtests.sh --quick
--unittests --disttests`.
- [ ] In-line docstrings updated.
- [ ] Documentation updated, tested `make html` command in the `docs/`
folder.

---------

Signed-off-by: YunLiu <55491388+KumoLiu@users.noreply.github.com>
Co-authored-by: Eric Kerfoot <17726042+ericspod@users.noreply.github.com>

monai/bundle/workflows.py

@@ -239,6 +239,7 @@ class ConfigWorkflow(BundleWorkflow):
         logging_file: config file for `logging` module in the program. for more details:
             https://docs.python.org/3/library/logging.config.html#logging.config.fileConfig.
             If None, default to "configs/logging.conf", which is commonly used for bundles in MONAI model zoo.
+            If False, the logging logic for the bundle will not be modified.
         init_id: ID name of the expected config expression to initialize before running, default to "initialize".
             allow a config to have no `initialize` logic and the ID.
         run_id: ID name of the expected config expression to run, default to "run".
@@ -278,7 +279,7 @@ def __init__(
         self,
         config_file: str | Sequence[str],
         meta_file: str | Sequence[str] | None = None,
-        logging_file: str | None = None,
+        logging_file: str | bool | None = None,
         init_id: str = "initialize",
         run_id: str = "run",
         final_id: str = "finalize",
@@ -307,15 +308,17 @@ def __init__(
         super().__init__(workflow_type=workflow_type, meta_file=meta_file, properties_path=properties_path)
         self.config_root_path = config_root_path
         logging_file = str(self.config_root_path / "logging.conf") if logging_file is None else logging_file
-        if logging_file is not None:
+        if logging_file is False:
+            logger.warn(f"Logging file is set to {logging_file}, skipping logging.")
+        else:
             if not os.path.isfile(logging_file):
                 if logging_file == str(self.config_root_path / "logging.conf"):
                     logger.warn(f"Default logging file in {logging_file} does not exist, skipping logging.")
                 else:
                     raise FileNotFoundError(f"Cannot find the logging config file: {logging_file}.")
             else:
                 logger.info(f"Setting logging properties based on config: {logging_file}.")
-                fileConfig(logging_file, disable_existing_loggers=False)
+                fileConfig(str(logging_file), disable_existing_loggers=False)
 
         self.parser = ConfigParser()
         self.parser.read_config(f=config_file)

monai/fl/client/monai_algo.py

@@ -134,12 +134,14 @@ def initialize(self, extra=None):
 
         Args:
             extra: Dict with additional information that should be provided by FL system,
-                i.e., `ExtraItems.CLIENT_NAME` and `ExtraItems.APP_ROOT`.
+                i.e., `ExtraItems.CLIENT_NAME`, `ExtraItems.APP_ROOT` and `ExtraItems.LOGGING_FILE`.
+                You can diable the logging logic in the monai bundle by setting {ExtraItems.LOGGING_FILE} to False.
 
         """
         if extra is None:
             extra = {}
         self.client_name = extra.get(ExtraItems.CLIENT_NAME, "noname")
+        logging_file = extra.get(ExtraItems.LOGGING_FILE, None)
         self.logger.info(f"Initializing {self.client_name} ...")
 
         # FL platform needs to provide filepath to configuration files
@@ -149,7 +151,7 @@ def initialize(self, extra=None):
         if self.workflow is None:
             config_train_files = self._add_config_files(self.config_train_filename)
             self.workflow = ConfigWorkflow(
-                config_file=config_train_files, meta_file=None, logging_file=None, workflow_type="train"
+                config_file=config_train_files, meta_file=None, logging_file=logging_file, workflow_type="train"
             )
         self.workflow.initialize()
         self.workflow.bundle_root = self.bundle_root
@@ -412,13 +414,15 @@ def initialize(self, extra=None):
 
         Args:
             extra: Dict with additional information that should be provided by FL system,
-                i.e., `ExtraItems.CLIENT_NAME` and `ExtraItems.APP_ROOT`.
+                i.e., `ExtraItems.CLIENT_NAME`, `ExtraItems.APP_ROOT` and `ExtraItems.LOGGING_FILE`.
+                You can diable the logging logic in the monai bundle by setting {ExtraItems.LOGGING_FILE} to False.
 
         """
         self._set_cuda_device()
         if extra is None:
             extra = {}
         self.client_name = extra.get(ExtraItems.CLIENT_NAME, "noname")
+        logging_file = extra.get(ExtraItems.LOGGING_FILE, None)
         timestamp = time.strftime("%Y%m%d_%H%M%S")
         self.logger.info(f"Initializing {self.client_name} ...")
         # FL platform needs to provide filepath to configuration files
@@ -434,7 +438,7 @@ def initialize(self, extra=None):
             self.train_workflow = ConfigWorkflow(
                 config_file=config_train_files,
                 meta_file=None,
-                logging_file=None,
+                logging_file=logging_file,
                 workflow_type="train",
                 **self.train_kwargs,
             )
@@ -459,7 +463,7 @@ def initialize(self, extra=None):
             self.eval_workflow = ConfigWorkflow(
                 config_file=config_eval_files,
                 meta_file=None,
-                logging_file=None,
+                logging_file=logging_file,
                 workflow_type=self.eval_workflow_name,
                 **self.eval_kwargs,
             )

monai/fl/utils/constants.py

@@ -30,6 +30,7 @@ class ExtraItems(StrEnum):
     CLIENT_NAME = "fl_client_name"
     APP_ROOT = "fl_app_root"
     STATS_SENDER = "fl_stats_sender"
+    LOGGING_FILE = "logging_file"
 
 
 class FlPhase(StrEnum):