chore: adds additional logging messages around model processing

Signed-off-by: Jennifer Power <[email protected]>

trestlebot/tasks/assemble_task.py

@@ -4,6 +4,7 @@
 
 """Trestle Bot Assembly Tasks"""
 
+import logging
 import os
 import pathlib
 from typing import Optional
@@ -16,6 +17,9 @@
 from trestlebot.tasks.base_task import ModelFilter, TaskBase, TaskException
 
 
+logger = logging.getLogger(__name__)
+
+
 class AssembleTask(TaskBase):
     """
     Assemble Markdown into OSCAL content
@@ -62,6 +66,7 @@ def _assemble(self) -> int:
         for model in self.iterate_models(pathlib.Path(search_path)):
             # Construct model path from markdown path. AuthoredObject already has
             # the working dir data as part of object construction.
+            logger.info(f"Assembling model {model}")
             model_base_name = os.path.basename(model)
             model_path = os.path.join(self._markdown_dir, model_base_name)
             try:

trestlebot/tasks/regenerate_task.py

@@ -4,6 +4,7 @@
 
 """Trestle Bot Regenerate Tasks"""
 
+import logging
 import os
 import pathlib
 from typing import Optional
@@ -17,6 +18,9 @@
 from trestlebot.tasks.base_task import ModelFilter, TaskBase, TaskException
 
 
+logger = logging.getLogger(__name__)
+
+
 class RegenerateTask(TaskBase):
     """
     Regenerate Trestle Markdown from OSCAL JSON content changes
@@ -58,6 +62,7 @@ def _regenerate(self) -> int:
 
         search_path = os.path.join(self.working_dir, model_dir)
         for model in self.iterate_models(pathlib.Path(search_path)):
+            logger.info(f"Regenerating model {model}")
             model_base_name = os.path.basename(model)
             model_path = os.path.join(model_dir, model_base_name)
 

trestlebot/tasks/rule_transform_task.py

@@ -79,14 +79,15 @@ def _transform(self) -> int:
     def _transform_components(self, component_definition_path: pathlib.Path) -> None:
         """Transform components into an OSCAL component definition."""
         csv_builder: CSVBuilder = CSVBuilder()
-        logger.debug(
+        logger.info(
             f"Transforming rules for component definition {component_definition_path.name}"
         )
 
         # To report all rule errors at once, we collect them in a list and
         # pretty print them in a raised exception
         transformation_errors: List[str] = []
         for component in self.iterate_models(component_definition_path):
+            logger.debug(f"Transforming rules for component {component.name}")
             for rule_path in self.iterate_models(component):
                 # Load the rule into memory as a stream to process
                 rule_stream = rule_path.read_text()