Abstract
Application centric logging is a system where there are one or more components all directing thier log entries to a single logger. In the AWS context, this could mean an application composed of one or more AWS Lamba functions each logging to a single application-wide AWS CloudWatch log stream. By “single”, I mean single to the application, not to each function.
In lambda functions with python runtimes, the default mode of logging is one log stream per lambda. We can do this via the print() function or the logging module. But there are sometimes situations where mulltiple lambdas are co-operating to solve a larger problem, where the co-operation is synchronous, and where it would be of value to be able to view a unified log stream for events accross multiple lambdas.
How do we achieve this, with a simple client interface? In this post, I present a solution.
A Solution
Include in the packaging of your AWS Lambda function, the following python 3 script with filename “custom_logging.py”.
################################################################################
## CustomLogging class
################################################################################
import boto3
import time, sys
import logging
def coerceLoggingType( logType):
if (logType is None) or (logType == ''):
logType = logging.INFO
elif isinstance( logType, str):
logType = getattr( logging, logType.upper(), logging.INFO)
return logType
global stockFormats
global defaultFormat
global levelNames
defaultFormat = '#standard'
stockFormats = {
'#standard': '{level}: {func}: {caller}: ',
'#short' : '{level}: {func}: ',
'#simple' : '{func}: '}
levelNames = {
logging.DEBUG : 'DEBUG',
logging.INFO : 'INFO',
logging.WARNING : 'WARNING',
logging.ERROR : 'ERROR',
logging.CRITICAL: 'CRITICAL'}
botoLoggers = ['boto', 'boto3', 'botocore', 'urllib3']
def _json_formatter( obj):
"""Formatter for unserialisable values."""
return str( obj)
class JsonFormatter( logging.Formatter):
"""AWS Lambda Logging formatter.
Formats the log message as a JSON encoded string. If the message is a
dict it will be used directly. If the message can be parsed as JSON, then
the parse d value is used in the output record.
"""
def __init__( self, **kwargs):
super( JsonFormatter, self).__init__()
self.format_dict = {
'timestamp': '%(asctime)s',
'level': '%(levelname)s',
'location': '%(name)s.%(funcName)s:%(lineno)d'}
self.format_dict.update(kwargs)
self.default_json_formatter = kwargs.pop( 'json_default', _json_formatter)
def format( self, record):
record_dict = record.__dict__.copy()
record_dict['asctime'] = self.formatTime( record)
log_dict = {
k: v % record_dict
for k, v in self.format_dict.items() if v}
if isinstance( record_dict['msg'], dict):
log_dict['message'] = record_dict['msg']
else:
log_dict['message'] = record.getMessage()
# Attempt to decode the message as JSON, if so, merge it with the
# overall message for clarity.
try:
log_dict['message'] = json.loads( log_dict['message'])
except ( TypeError, ValueError):
pass
if record.exc_info:
# Cache the traceback text to avoid converting it multiple times
# (it's constant anyway)
# from logging.Formatter:format
if not record.exc_text:
record.exc_text = self.formatException( record.exc_info)
if record.exc_text:
log_dict['exception'] = record.exc_text
json_record = json.dumps( log_dict, default=self.default_json_formatter)
if hasattr( json_record, 'decode'): # pragma: no cover
json_record = json_record.decode( 'utf-8')
return json_record
def setupCanonicalLogLevels( logger, level, fmt, formatter_cls=JsonFormatter, boto_level=None, **kwargs):
if not isinstance( logger, logging.Logger):
raise Exception( 'Wrong class of logger passed to setupCanonicalLogLevels().')
if logger is not None:
logger.setLevel( level)
logging.root.setLevel( level)
if fmt is not None:
logging.basicConfig( format=fmt)
fmtObj = logging.Formatter( fmt)
else:
fmtObj = None
for handler in logging.root.handlers:
try:
if fmtObj is not None:
handler.setFormatter( fmtObj)
elif formatter_cls is not None:
handler.setFormatter( formatter_cls( **kwargs))
except:
pass
if boto_level is None:
boto_level = level
for loggerId in botoLoggers:
try:
logging.getLogger( loggerId).setLevel( boto_level)
except:
pass
class NullLogger():
def __init__( self):
pass
def purge( self):
pass
def log( self, level, msg, withPurge=False):
pass
def debug( self, msg, withPurge=False):
pass
def info( self, msg, withPurge=False):
pass
def warning( self, msg, withPurge=False):
pass
def critical( self, msg, withPurge=False):
pass
def error( self, msg, withPurge=False):
pass
def exception( self, msg, withPurge=False):
pass
def classCode( self):
return '#null'
def isPurgeable( self):
return False
class PrintLogger():
def __init__( self, threshold):
self.threshold = threshold
def purge( self):
pass
def log( self, level, msg, withPurge=False):
if level >= self.threshold:
print( msg)
def debug( self, msg, withPurge=False):
self.log( logging.DEBUG, msg, False)
def info( self, msg, withPurge=False):
self.log( logging.INFO, msg, False)
def warning( self, msg, withPurge=False):
self.log( logging.WARNING, msg, False)
def critical( self, msg, withPurge=False):
self.log( logging.CRITICAL, msg, False)
def error( self, msg, withPurge=False):
self.log( logging.ERROR, msg, False)
def exception( self, msg, withPurge=False):
self.log( logging.ERROR, msg, False)
def classCode( self):
return '#print'
def isPurgeable( self):
return False
def createPolymorphicLogger( logClass, logGroup, logStream, logLevel = logging.INFO, functionName = None, msgFormat = None):
if logClass == 'cloud-watch':
return CustomLogging( logGroup, logStream, logLevel, functionName, msgFormat)
elif logClass == '#print':
return PrintLogger( logLevel)
elif (logClass == '#null') or (logClass is None):
return NullLogger()
elif isinstance( logClass, dict) and ('logging' in logClass):
loggingParams = logClass.get( 'logging', {})
cloudWatchParams = loggingParams.get( 'cloud-watch', {})
if msgFormat is None:
msgFormat = '#mini'
actualLogClass = loggingParams.get( 'class')
logGroup = cloudWatchParams.get( 'group' , logGroup)
logStream = cloudWatchParams.get( 'stream' , logStream)
logLevel = loggingParams.get( 'level' , logLevel)
functionName = cloudWatchParams.get( 'function', functionName)
msgFormat = cloudWatchParams.get( 'format' , msgFormat)
return createLogger( actualLogClass, logGroup, logStream, logLevel, functionName, msgFormat)
elif isinstance( logClass, dict) and ('class' in logClass):
canonicalLogClassRecord = {'logging': logClass}
return createLogger( canonicalLogClassRecord, logGroup, logStream, logLevel, functionName, msgFormat)
elif logClass == '#standard-logger':
logger = logging.getLogger( name=logStream)
if msgFormat is None:
msgFormat = '[%(levelname)s] %(message)s'
setupCanonicalLogLevels( logger, logLevel, msgFormat, JsonFormatter, logging.ERROR)
return logger
else:
raise Exception( f'Unrecognised log class {logClass}')
def getClassCode( logger):
code = '#null'
if isinstance( logger, logging.Logger):
code = '#standard-logger'
elif logger is not None:
try:
code = logger.classCode()
except:
code = '#unrecognised'
return code
def isLoggerPurgeable( logger):
result = False
if (not isinstance( logger, logging.Logger)) and (logger is not None):
try:
result = logger.isPurgeable()
except:
pass
return result
class CustomLogging:
def __init__( self, logGroup, logStream, logLevel = logging.INFO, functionName = None, msgFormat = None):
""" logGroup is the name of the CloudWatch log group. If none, the messages passes to print.
logStream is the name of the stream. It is required. It is a string. There is no embedded date processing.
logLevel is one of the logging level constants or its string equivalent. Posts below this level will be swallowed.
functionName is the name of the lambda.
msgFormat determines the logged message prefix. It is either a format string, a label or a function.
If it is a format string, the following substitution identifiers:
{level} The message log level.
{func} The passed functionName
{caller} The python caller function name
If it is a label, is one of:
#standard - This is the default.
#short
#simple
#mini
If it is a function (or callable object), it must be a function that returns a prefix string with
the following input parameters in order:
level - passed message level
functionName - constructed function name
caller - invoker caller name
logMsg - passed message
EXAMPLE USAGE 1:
import custom_logging, logging
logger = CustomLogging( '/aws/ec2/prod/odin', '2022-06-29-MLC_DAILY-143', logging.INFO, 'CoolLambdaFunc', '#mini')
logger.info( 'Hello friend! This is an info')
logger.error( 'I broke it!')
logger.purge()
EXAMPLE USAGE 2:
import custom_logging, logging
logger = CustomLogging( None, None, logging.DEBUG, 'CoolLambdaFunc', '#mini')
logger.info( 'This is the same as print')
EXAMPLE USAGE 3:
import custom_logging, logging
logger = CustomLogging( None, None, logging.WARNING, 'CoolLambdaFunc', '{caller} | {level} !! {func}: ')
EXAMPLE USAGE 3:
import custom_logging, logging
def colourMePink( level, functionName, caller, logMsg):
if level == logging.DEBUG:
prefix = '{level}: {func}: {caller}: '.format( level = sLevel, func = functionName, caller = caller)
elif level == logging.INFO:
prefix = ''
else:
prefix = '{level}: '.format( level = sLevel)
return prefix
logger = CustomLogging( None, None, logging.INFO, None, colourMePink)
"""
self.logs = boto3.client( 'logs', region_name='ap-southeast-2')
self.logEvents = []
self.functionName = functionName
if self.functionName is None:
self.functionName = ''
self.logGroup = logGroup
self.logStream = logStream
self.msgFormat = msgFormat
if self.msgFormat is None:
self.msgFormat = defaultFormat
if isinstance( self.msgFormat, str) and (self.msgFormat in stockFormats):
self.msgFormat = stockFormats[self.msgFormat]
elif self.msgFormat == '#mini':
self.msgFormat = self._miniFormat
self.logLevel = coerceLoggingType( logLevel)
self.sequenceToken = None
self.sequenceTokenIsValid = False
self.maxEventsInBuffer = 20
self.maxBufferAgeMs = 60000 # 1 minute.
def _formatMessage( self, caller, logType, logMsg):
prefix = ''
if caller is None:
try:
caller = sys._getframe(3).f_code.co_name
except:
caller = ''
sLevel = levelNames.get( logType, str( logType))
if isinstance( self.msgFormat, str):
prefix = self.msgFormat.format( level = sLevel, func = self.functionName, caller = caller)
elif callable( self.msgFormat):
prefix = self.msgFormat( logType, self.functionName, caller, logMsg)
return prefix + str( logMsg)
def _miniFormat( self, level, functionName, caller, logMsg):
prefix = ''
if level >= logging.WARNING:
prefix = levelNames[ level] + ': '
if functionName != '':
prefix = prefix + functionName + ': '
return prefix
def _getSequenceToken( self):
self.sequenceToken = None
self.sequenceTokenIsValid = True
try:
response = self.logs.describe_log_streams( logGroupName=self.logGroup, logStreamNamePrefix=self.logStream)
except self.logs.exceptions.ResourceNotFoundException:
return 'group-not-found'
try:
if 'uploadSequenceToken' in response['logStreams'][0]:
self.sequenceToken = response['logStreams'][0]['uploadSequenceToken']
if self.sequenceToken == '':
self.sequenceToken = None
except:
pass
if self.sequenceToken is None:
return 'stream-not-found-or-virgin-stream'
else:
return None
def put( self, logMsg, logType = logging.INFO, withPurge=False, callFunc = None):
logType = coerceLoggingType( logType)
if self.logLevel <= logType:
if self.logGroup is not None:
timestamp = int( round( time.time() * 1000))
message = self._formatMessage( callFunc, logType, logMsg)
logEvent = {'timestamp': timestamp, 'message': message}
if self.logLevel == logging.DEBUG:
print( message)
self.logEvents.append( logEvent)
count = len( self.logEvents)
if withPurge or \
(count >= self.maxEventsInBuffer) or \
((count >= 1) and ((timestamp - self.logEvents[0]['timestamp']) >= self.maxBufferAgeMs)):
self.purge()
else:
print( logMsg)
def classCode( self):
return 'cloud-watch'
def _primitive_put_log_events( self):
event_log = {
'logGroupName' : self.logGroup,
'logStreamName': self.logStream,
'logEvents' : self.logEvents}
if self.sequenceToken is not None:
event_log['sequenceToken'] = self.sequenceToken
try:
response = self.logs.put_log_events( **event_log)
self.sequenceToken = response.get( 'nextSequenceToken')
self.sequenceTokenIsValid = True
result = None
except self.logs.exceptions.ResourceAlreadyExistsException:
self.sequenceTokenIsValid = False
result = None
except self.logs.exceptions.DataAlreadyAcceptedException:
self.sequenceTokenIsValid = False
result = None
except self.logs.exceptions.InvalidSequenceTokenException:
self.sequenceTokenIsValid = False
result = 'invalid-sequence-token'
except self.logs.exceptions.ResourceNotFoundException:
self.sequenceTokenIsValid = True
self.sequenceToken = None
result = 'stream-not-found'
return result
def _primitive_create_log_stream( self):
self.sequenceTokenIsValid = True
self.sequenceToken = None
try:
self.logs.create_log_stream( logGroupName=self.logGroup, logStreamName=self.logStream)
result = None
except self.logs.exceptions.ResourceAlreadyExistsException:
self.sequenceTokenIsValid = False
result = None
except self.logs.exceptions.ResourceNotFoundException:
result = 'group-not-found'
return result
def _primitive_create_log_group( self):
self.sequenceTokenIsValid = True
self.sequenceToken = None
try:
self.logs.create_log_group( logGroupName=self.logGroup)
except self.logs.exceptions.ResourceAlreadyExistsException:
pass
def _robust_put_log_events( self):
status = 'hungry'
for tryCount in range( 100):
if status == 'group-not-found':
self._primitive_create_log_group()
status = 'stream-not-found'
elif status == 'stream-not-found':
status = self._primitive_create_log_stream()
if status is None:
status = 'hungry'
elif status == 'invalid-sequence-token':
getSequenceResult = self._getSequenceToken()
# getSequenceResult == 'group-not-found' | 'stream-not-found-or-virgin-stream' | None
if getSequenceResult == 'group-not-found':
status = 'group-not-found'
elif getSequenceResult == 'stream-not-found-or-virgin-stream':
status = 'stream-not-found'
else:
status = 'ready'
elif status == 'hungry':
if not self.sequenceTokenIsValid:
status = 'invalid-sequence-token'
else:
status = 'ready'
elif status == 'ready':
status = self._primitive_put_log_events()
if status is None:
status = 'done'
if status == 'done':
break
if status != 'done':
raise Exception( 'Failed to post to CloudWatch Logs.')
def purge( self):
if len( self.logEvents) > 0:
try:
self._robust_put_log_events()
except Exception as ex:
print( self.logEvents)
print( ex)
self.logEvents = []
def log( self, level, msg, withPurge=False):
self.put( msg, level, withPurge, None)
def debug( self, msg, withPurge=False):
self.put( msg, logging.DEBUG, withPurge, None)
def info( self, msg, withPurge=False):
self.put( msg, logging.INFO, withPurge, None)
def warning( self, msg, withPurge=False):
self.put( msg, logging.WARNING, withPurge, None)
def error( self, msg, withPurge=False):
self.put( msg, logging.ERROR, withPurge, None)
def critical( self, msg, callFunc = None):
self.put( msg, logging.CRITICAL, True, callFunc)
def exception( self, msg, withPurge=True):
self.log( logging.ERROR, msg, True)
def isPurgeable( self):
return True
def __del__( self):
try:
self.purge()
except:
pass
How to use
Import custom_logging. In your lambda code, where you need application-centric logging, invoke the factory method createPolymorphicLogger() to create a logger. Then send all your application-centric log events to this logger, instead of print().
The logger is going to have the following public methods.
- purge()
- log( level, msg, withPurge=False)
- debug/info/warning/critical/error/exception( msg, withPurge=False)
Use the log() method to log a string message. ‘level’ is one of the usual logging levels: DEBUG, INFO etc. For performance reasons, messages are buffered before actually sending to CloudWatch. The buffer is purged when either: (A) the buffer gets too long; or (B) the buffer ages out (1 minute); or (C) the withPurge parameter is explicitly set to True. Invoking the purge() method or releasing the custom logger class instance will also do it.
The debug() etc methods are short hand for the log() method when the level is fixed.
How to configure it
Refer to the inline comments.
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