Python logging handlers that send log messages in the Graylog Extended Log Format (GELF).
graypy supports sending GELF logs to both Graylog2 and Graylog3 servers.
Install the basic graypy python logging handlers:
pip install graypyInstall with requirements for GELFRabbitHandler:
pip install graypy[amqp]Install the basic graypy python logging handlers:
easy_install graypyInstall with requirements for GELFRabbitHandler:
easy_install graypy[amqp]graypy sends GELF logs to a Graylog server via subclasses of the python logging.Handler class.
Below is the list of ready to run GELF logging handlers defined by graypy:
GELFUDPHandler- UDP log forwardingGELFTCPHandler- TCP log forwardingGELFTLSHandler- TCP log forwarding with TLS supportGELFHTTPHandler- HTTP log forwardingGELFRabbitHandler- RabbitMQ log forwarding
UDP Log forwarding to a locally hosted Graylog server can be easily done with
the GELFUDPHandler:
import logging
import graypy
my_logger = logging.getLogger('test_logger')
my_logger.setLevel(logging.DEBUG)
handler = graypy.GELFUDPHandler('localhost', 12201)
my_logger.addHandler(handler)
my_logger.debug('Hello Graylog.')GELF UDP Chunking is supported by the GELFUDPHandler and is defined by
the gelf_chunker argument within its constructor. By default the
GELFWarningChunker is used, thus, GELF messages that chunk overflow
(i.e. consisting of more than 128 chunks) will issue a
GELFChunkOverflowWarning and will be dropped.
Other gelf_chunker options are also available:
BaseGELFChunkersilently drops GELF messages that chunk overflowGELFTruncatingChunkerissues aGELFChunkOverflowWarningand simplifies and truncates GELF messages that chunk overflow in a attempt to send some content to Graylog. If this process fails to prevent another chunk overflow aGELFTruncationFailureWarningis issued.
Alternately, use GELFRabbitHandler to send messages to RabbitMQ and
configure your Graylog server to consume messages via AMQP. This prevents log
messages from being lost due to dropped UDP packets (GELFUDPHandler sends
messages to Graylog using UDP). You will need to configure RabbitMQ with a
gelf_log queue and bind it to the logging.gelf exchange so messages
are properly routed to a queue that can be consumed by Graylog (the queue and
exchange names may be customized to your liking).
import logging
import graypy
my_logger = logging.getLogger('test_logger')
my_logger.setLevel(logging.DEBUG)
handler = graypy.GELFRabbitHandler('amqp://guest:guest@localhost/', exchange='logging.gelf')
my_logger.addHandler(handler)
my_logger.debug('Hello Graylog.')It's easy to integrate graypy with Django's logging settings. Just add a
new handler in your settings.py:
LOGGING = {
'version': 1,
# other dictConfig keys here...
'handlers': {
'graypy': {
'level': 'WARNING',
'class': 'graypy.GELFUDPHandler',
'host': 'localhost',
'port': 12201,
},
},
'loggers': {
'django.request': {
'handlers': ['graypy'],
'level': 'ERROR',
'propagate': True,
},
},
}By default log captured exception tracebacks are added to the GELF log as
full_message fields:
import logging
import graypy
my_logger = logging.getLogger('test_logger')
my_logger.setLevel(logging.DEBUG)
handler = graypy.GELFUDPHandler('localhost', 12201)
my_logger.addHandler(handler)
try:
puff_the_magic_dragon()
except NameError:
my_logger.debug('No dragons here.', exc_info=1)By default a number of debugging logging fields are automatically added to the GELF log if available:
- function
- pid
- process_name
- thread_name
You can disable automatically adding these debugging logging fields by
specifying debugging_fields=False in the handler's constructor:
handler = graypy.GELFUDPHandler('localhost', 12201, debugging_fields=False)graypy also supports including custom fields in the GELF logs sent to Graylog. This can be done by using Python's LoggerAdapter and Filter classes.
LoggerAdapter makes it easy to add static information to your GELF log messages:
import logging
import graypy
my_logger = logging.getLogger('test_logger')
my_logger.setLevel(logging.DEBUG)
handler = graypy.GELFUDPHandler('localhost', 12201)
my_logger.addHandler(handler)
my_adapter = logging.LoggerAdapter(logging.getLogger('test_logger'),
{'username': 'John'})
my_adapter.debug('Hello Graylog from John.')Filter gives more flexibility and allows for dynamic information to be added to your GELF logs:
import logging
import graypy
class UsernameFilter(logging.Filter):
def __init__(self):
# In an actual use case would dynamically get this
# (e.g. from memcache)
self.username = 'John'
def filter(self, record):
record.username = self.username
return True
my_logger = logging.getLogger('test_logger')
my_logger.setLevel(logging.DEBUG)
handler = graypy.GELFUDPHandler('localhost', 12201)
my_logger.addHandler(handler)
my_logger.addFilter(UsernameFilter())
my_logger.debug('Hello Graylog from John.')
- Sever Banesiu
- Daniel Miller
- Tushar Makkar
- Nathan Klapstein
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