Apply logging level changes to cached loggers and handlers

great_ai/utilities/logger/get_logger.py

@@ -33,4 +33,8 @@ def get_logger(
         logger.addHandler(stdout_handler)
         loggers[name] = logger
 
-    return loggers[name]
+    logger = loggers[name]
+    logger.setLevel(level)
+    for handler in logger.handlers:
+        handler.setLevel(level)
+    return logger

tests/test_configuration_regressions.py

@@ -1,3 +1,5 @@
+import logging
+
 from great_ai import ParallelTinyDbDriver, configure
 from great_ai.context import get_context
 from great_ai.large_file import LargeFileLocal
@@ -17,3 +19,13 @@ def test_explicit_custom_backends_are_preserved(isolated_context: None) -> None:
     )
     assert isinstance(get_context().tracing_database, CustomDatabase)
     assert get_context().large_file_implementation is CustomStorage
+
+
+def test_configuration_updates_existing_logger_levels(isolated_context: None) -> None:
+    logger = get_context().logger
+    handlers = list(logger.handlers)
+    configure(log_level=logging.ERROR, disable_se4ml_banner=True)
+    assert get_context().logger is logger
+    assert logger.level == logging.ERROR
+    assert logger.handlers == handlers
+    assert all(handler.level == logging.ERROR for handler in handlers)