def test_empty_processors(self):
"""
An empty list is a valid value for processors so it must be preserved.
"""
# We need to do a bind such that we get an actual logger and not just
# a lazy proxy.
l = wrap_logger(object(), processors=[]).new()
assert [] == l._processors
def test_empty_processors(self):
"""
An empty list is a valid value for processors so it must be preserved.
"""
# We need to do a bind such that we get an actual logger and not just
# a lazy proxy.
l = wrap_logger(object(), processors=[]).new()
assert [] == l._processors
def _set_structured_logger(context, logger_name=None, service_tag=None):
"""
use this function to get a structured logger and can use
this to pass into the LogLambda decorator
context - aws lambda context
service - name of the service that this lambda belongs to
logger_name - logger's name
log_level - one of the levels in logging module
"""
if LogLambdaBase._structured_logger:
return LogLambdaBase._structured_logger
stage_tag = get_stage(context)
if logger_name:
logger = logging.getLogger(str(logger_name))
else:
logger = logging.getLogger()
# Python logger in AWS Lambda has a preset format.
# To change the format of
# the logging statement, remove the logging handler
# and add a new handler with the required format
for handler in logger.handlers:
logger.removeHandler(handler)
LogLambdaBase._log_handler = LogLambdaBase._get_handler()
LogLambdaBase._log_handler.setFormatter(logging.Formatter(FORMAT))
logger.addHandler(LogLambdaBase._log_handler)
logger.setLevel(LogLambdaBase._log_level)
logger.propagate = False
wlogger = wrap_logger(
logger,
processors=[
LogLambdaBase._filter_pii_info,
add_logger_name,
add_log_level,
TimeStamper(fmt="iso"),
StackInfoRenderer(),
format_exc_info,
JSONRenderer(separators=(',', ':'), sort_keys=True)])
inferred_lambda_tag = context.function_name
if stage_tag is not None:
inferred_lambda_tag = inferred_lambda_tag.replace('{0}_'.format(stage_tag), '', 1)
LogLambdaBase._structured_logger = wlogger.bind(
aws_lambda_name=context.function_name,
aws_lambda_request_id=context.aws_request_id,
internal_service_tag=service_tag,
inferred_stage_tag=stage_tag,
inferred_lambda_tag=inferred_lambda_tag
)
return LogLambdaBase._structured_logger
def test_wrap_passes_args(self):
"""
wrap_logger propagates all arguments to the wrapped bound logger.
"""
logger = object()
p = wrap_logger(logger, processors=[1, 2, 3], context_class=dict)
assert logger is p._logger
assert [1, 2, 3] == p._processors
assert dict is p._context_class
def test_wrap_returns_proxy(self):
assert isinstance(wrap_logger(None), BoundLoggerLazyProxy)
def test_wrap_passes_args(self):
logger = object()
p = wrap_logger(logger, processors=[1, 2, 3], context_class=dict)
assert logger is p._logger
assert [1, 2, 3] == p._processors
assert dict is p._context_class
def log():
"""
Returns a ReturnLogger with a freshly wrapped OrderedDict.
"""
return wrap_logger(logger(), context_class=wrap_dict(OrderedDict))
def test_wrap_returns_proxy(self):
assert isinstance(wrap_logger(None), BoundLoggerLazyProxy)
def test_wrap_passes_args(self):
logger = object()
p = wrap_logger(logger, processors=[1, 2, 3], context_class=dict)
assert logger is p._logger
assert [1, 2, 3] == p._processors
assert dict is p._context_class
def log(logger):
"""
Returns a ReturnLogger with a freshly wrapped dict.
"""
return wrap_logger(logger, context_class=wrap_dict(dict))
def log():
"""
Returns a ReturnLogger with a freshly wrapped OrderedDict.
"""
return wrap_logger(logger(), context_class=wrap_dict(OrderedDict))
def test_wrap_returns_proxy(self):
"""
wrap_logger always returns a lazy proxy.
"""
assert isinstance(wrap_logger(None), BoundLoggerLazyProxy)
def log():
return wrap_logger(logger(), context_class=wrap_dict(OrderedDict))
