revert config setting name; add more logging

Signed-off-by: Andrew Whitehead <cywolf@gmail.com>

aries_cloudagent/__init__.py

@@ -52,7 +52,7 @@ def main():
 
     # Set up logging
     log_config = settings.get("log.config")
-    log_level = settings.get("log_level") or os.getenv("LOG_LEVEL")
+    log_level = settings.get("log.level") or os.getenv("LOG_LEVEL")
     LoggingConfigurator.configure(log_config, log_level)
 
     # Fetch genesis transactions if necessary

aries_cloudagent/config/argparse.py

@@ -277,7 +277,7 @@ def get_settings(args):
     if args.log_config:
         settings["log.config"] = args.log_config
     if args.log_level:
-        settings["log_level"] = args.log_level
+        settings["log.level"] = args.log_level
 
     settings["transport.inbound_configs"] = args.inbound_transports
     settings["transport.outbound_configs"] = args.outbound_transports

aries_cloudagent/messaging/models/base.py

@@ -9,6 +9,8 @@
 from ...classloader import ClassLoader
 from ...error import BaseError
 
+LOGGER = logging.getLogger(__name__)
+
 
 def resolve_class(the_cls, relative_cls: type = None):
     """
@@ -124,8 +126,7 @@ def deserialize(cls, obj):
         try:
             return schema.loads(obj) if isinstance(obj, str) else schema.load(obj)
         except ValidationError as e:
-            logger = logging.getLogger(__name__)
-            logger.debug('message validation error: %s', e)
+            LOGGER.exception("Message validation error:")
             raise BaseModelError("Schema validation failed") from e
 
     def serialize(self, as_string=False) -> dict:
@@ -143,6 +144,7 @@ def serialize(self, as_string=False) -> dict:
         try:
             return schema.dumps(self) if as_string else schema.dump(self)
         except ValidationError as e:
+            LOGGER.exception("Message serialization error:")
             raise BaseModelError("Schema validation failed") from e
 
     @classmethod
@@ -160,6 +162,7 @@ def from_json(cls, json_repr: Union[str, bytes]):
         try:
             parsed = json.loads(json_repr)
         except ValueError as e:
+            LOGGER.exception("Message parse error:")
             raise BaseModelError("JSON parsing failed") from e
         return cls.deserialize(parsed)