Metadata-Version: 2.1 Name: CMRESHandler Version: 1.0.0 Summary: Elasticsearch Log handler for the logging library Home-page: https://github.com/cmanaha/python-elasticsearch-logger Author: Carlos Manzanedo Rueda Author-email: c.manaha@gmail.com License: Apache2 Keywords: logging elasticsearch handler log django instrumentation Platform: UNKNOWN Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: Topic :: System :: Logging Classifier: Topic :: Software Development :: Libraries Classifier: Topic :: Internet :: Log Analysis Classifier: License :: OSI Approved :: Apache Software License Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3.6 Requires-Dist: elasticsearch Requires-Dist: requests Provides-Extra: dev Requires-Dist: check-manifest ; extra == 'dev' Requires-Dist: six ; extra == 'dev' Requires-Dist: pylint ; extra == 'dev' Provides-Extra: test Requires-Dist: coverage ; extra == 'test' =============== CMRESHandler.py =============== | |license| |versions| |status| |downloads| | |ci_status| |codecov| |gitter| Python Elasticsearch Log handler ******************************** This library provides an Elasticsearch logging appender compatible with the python standard `logging `_ library. The code source is in github at `https://github.com/cmanaha/python-elasticsearch-logger `_ Installation ============ Install using pip:: pip install CMRESHandler Requirements Python 2 ===================== This library requires the following dependencies - elasticsearch - requests - enum Requirements Python 3 ===================== This library requires the following dependencies - elasticsearch - requests Additional requirements for Kerberos support ============================================ Additionally, the package support optionally kerberos authentication by adding the following dependecy - requests-kerberos Additional requirements for AWS IAM user authentication (request signing) ========================================================================= Additionally, the package support optionally AWS IAM user authentication by adding the following dependecy - requests-aws4auth Using the handler in your program ================================== To initialise and create the handler, just add the handler to your logger as follow :: from cmreslogging.handlers import CMRESHandler handler = CMRESHandler(hosts=[{'host': 'localhost', 'port': 9200}], auth_type=CMRESHandler.AuthType.NO_AUTH, es_index_name="my_python_index") log = logging.getLogger("PythonTest") log.setLevel(logging.INFO) log.addHandler(handler) You can add fields upon initialisation, providing more data of the execution context :: from cmreslogging.handlers import CMRESHandler handler = CMRESHandler(hosts=[{'host': 'localhost', 'port': 9200}], auth_type=CMRESHandler.AuthType.NO_AUTH, es_index_name="my_python_index", es_additional_fields={'App': 'MyAppName', 'Environment': 'Dev'}) log = logging.getLogger("PythonTest") log.setLevel(logging.INFO) log.addHandler(handler) This additional fields will be applied to all logging fields and recorded in elasticsearch To log, use the regular commands from the logging library :: log.info("This is an info statement that will be logged into elasticsearch") Your code can also dump additional extra fields on a per log basis that can be used to instrument operations. For example, when reading information from a database you could do something like:: start_time = time.time() database_operation() db_delta = time.time() - start_time log.debug("DB operation took %.3f seconds" % db_delta, extra={'db_execution_time': db_delta}) The code above executes the DB operation, measures the time it took and logs an entry that contains in the message the time the operation took as string and for convenience, it creates another field called db_execution_time with a float that can be used to plot the time this operations are taking using Kibana on top of elasticsearch Initialisation parameters ========================= The constructors takes the following parameters: - hosts: The list of hosts that elasticsearch clients will connect, multiple hosts are allowed, for example :: [{'host':'host1','port':9200}, {'host':'host2','port':9200}] - auth_type: The authentication currently support CMRESHandler.AuthType = NO_AUTH, BASIC_AUTH, KERBEROS_AUTH - auth_details: When CMRESHandler.AuthType.BASIC_AUTH is used this argument must contain a tuple of string with the user and password that will be used to authenticate against the Elasticsearch servers, for example ('User','Password') - aws_access_key: When ``CMRESHandler.AuthType.AWS_SIGNED_AUTH`` is used this argument must contain the AWS key id of the the AWS IAM user - aws_secret_key: When ``CMRESHandler.AuthType.AWS_SIGNED_AUTH`` is used this argument must contain the AWS secret key of the the AWS IAM user - aws_region: When ``CMRESHandler.AuthType.AWS_SIGNED_AUTH`` is used this argument must contain the AWS region of the the AWS Elasticsearch servers, for example ``'us-east'`` - use_ssl: A boolean that defines if the communications should use SSL encrypted communication - verify_ssl: A boolean that defines if the SSL certificates are validated or not - buffer_size: An int, Once this size is reached on the internal buffer results are flushed into ES - flush_frequency_in_sec: A float representing how often and when the buffer will be flushed - es_index_name: A string with the prefix of the elasticsearch index that will be created. Note a date with YYYY.MM.dd, ``python_logger`` used by default - index_name_frequency: The frequency to use as part of the index naming. Currently supports CMRESHandler.IndexNameFrequency.DAILY, CMRESHandler.IndexNameFrequency.WEEKLY, CMRESHandler.IndexNameFrequency.MONTHLY, CMRESHandler.IndexNameFrequency.YEARLY by default the daily rotation is used - es_doc_type: A string with the name of the document type that will be used ``python_log`` used by default - es_additional_fields: A dictionary with all the additional fields that you would like to add to the logs Django Integration ================== It is also very easy to integrate the handler to `Django `_ And what is even better, at DEBUG level django logs information such as how long it takes for DB connections to return so they can be plotted on Kibana, or the SQL statements that Django executed. :: from cmreslogging.handlers import CMRESHandler LOGGING = { 'version': 1, 'disable_existing_loggers': False, 'handlers': { 'file': { 'level': 'DEBUG', 'class': 'logging.handlers.RotatingFileHandler', 'filename': './debug.log', 'maxBytes': 102400, 'backupCount': 5, }, 'elasticsearch': { 'level': 'DEBUG', 'class': 'cmreslogging.handlers.CMRESHandler', 'hosts': [{'host': 'localhost', 'port': 9200}], 'es_index_name': 'my_python_app', 'es_additional_fields': {'App': 'Test', 'Environment': 'Dev'}, 'auth_type': CMRESHandler.AuthType.NO_AUTH, 'use_ssl': False, }, }, 'loggers': { 'django': { 'handlers': ['file','elasticsearch'], 'level': 'DEBUG', 'propagate': True, }, }, } There is more information about how Django logging works in the `Django documentation `_ Building the sources & Testing ------------------------------ To create the package follow the standard python setup.py to compile. To test, just execute the python tests within the test folder Why using an appender rather than logstash or beats --------------------------------------------------- In some cases is quite useful to provide all the information available within the LogRecords as it contains things such as exception information, the method, file, log line where the log was generated. All this can be also done from logstash configuration, but it still requires to provide quite a lot of context to Contributing back ----------------- Feel free to use this as is or even better, feel free to fork and send your pull requests over. .. |downloads| image:: https://img.shields.io/pypi/dd/CMRESHandler.svg :target: https://pypi.python.org/pypi/CMRESHandler :alt: Daily PyPI downloads .. |versions| image:: https://img.shields.io/pypi/pyversions/CMRESHandler.svg :target: https://pypi.python.org/pypi/CMRESHandler :alt: Python versions supported .. |status| image:: https://img.shields.io/pypi/status/CMRESHandler.svg :target: https://pypi.python.org/pypi/CMRESHandler :alt: Package stability .. |license| image:: https://img.shields.io/pypi/l/CMRESHandler.svg :target: https://pypi.python.org/pypi/CMRESHandler :alt: License .. |ci_status| image:: https://travis-ci.org/cmanaha/python-elasticsearch-logger.svg?branch=master :target: https://travis-ci.org/cmanaha/python-elasticsearch-logger :alt: Continuous Integration Status .. |codecov| image:: https://codecov.io/github/cmanaha/python-elasticsearch-logger/coverage.svg?branch=master :target: http://codecov.io/github/cmanaha/python-elasticsearch-logger?branch=master :alt: Coverage! .. |gitter| image:: https://badges.gitter.im/Join%20Chat.svg :target: https://gitter.im/cmanaha/python-elasticsearch-logger?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge :alt: gitter