Metadata-Version: 2.1
Name: datadog-log
Version: 1.3.0
Summary: JSON formatted logging for Datadog
Home-page: https://github.com/mindhivenz/datadog-log-py
Author: Mindhive
Author-email: devops@mindhive.co.nz
License: MIT
Description: # Datadog-log
        
        Write out JSON formatted logs in the format and with
        the [attributes](https://docs.datadoghq.com/logs/log_configuration/attributes_naming_convention/#default-standard-attribute-list)
        that Datadog expects
        
        ## Installation
        
        `pip install datadog-log`
        
        ## Setup
        
        The simplest way is to use `init_logging()` which will log to stdout.
        
        If you want finner control then you can use `DatadogFormatter` directly. See `init_logging` for example usage.
        
        ## Logging
        
        Use logging as normal:
        
        ```python
        import logging
        import datadoglog
        
        datadoglog.init_logging()
        log = logging.getLogger("example")
        log.setLevel(logging.INFO)
        log.info("Some info", extra={"extra": ["json"]})
        ```
        
        The above would output json like below (but as a single line, shown 'pretty' here for readability):
        
        ```json
        {
          "message": "Some info",
          "extra": ["json"],
          "timestamp": "2021-09-18T21:14:07.707371+00:00",
          "status": "info",
          "logger": {
            "name": "example",
            "method_name": "<stdin>.<module>",
            "thread_name": "MainThread"
          }
        }
        ```
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
