Python Logging Handler that emits logstash/kibana compatible records to elasticsearch.
The logstash convention is to use a new index named 'logstash-YYYY-MM-DD' for every day. A logstash/kibana compatible record format looks like:
{
"@fields": {
"_function": "<module>",
"_pid": 10175,
"_process_name": "MainProcess",
"_thread_name": "MainThread",
"facility": "test_logger",
"file": "<ipython-input-8-25a8c050cea1>",
"full_message": "",
"host": "mir",
"level": 7,
"line": 1,
"short_message": "Hello Graylog2.",
"timestamp": 1346365351.338272,
"version": "1.0"
},
"@message": "",
"@source": "gelf://mir/<ipython-input-8-25a8c050cea1>",
"@source_host": "gelf://mir/<ipython-input-8-25a8c050cea1>",
"@source_path": "/",
"@tags": [],
"@timestamp": "2012-08-30T22:22:31.339000Z",
"@type": "gelf-test"
}import logging
import stash
sh = stash.StashHandler('127.0.0.1:9200')
logger = logging.getLogger()
logger.addHandler(sh)
logger.warning('Test Message')This logging hander should only be used in development when you don't want to set up and configure a logstash server. In production mode you should consider the python gelf handler graypy.
- pyes
- running elasticsearch server