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        "description": "Intro, in which opinions are had\n--------------------------------\n\nCazoo-Logger is a deeply opinionated structured logger for Python on AWS Lambda.\n\nCazoo-Logger owes a debt to `aws_lambda_logger`_ which is both less opinionated, and probaby better suited to your particular use-case than this library. Go check it out.\n\nBasic Usage\n-----------\n\nThe Cazoo Logger module exposes a single function `config` that sets up the logger for use.\n\n>>> import cazoo_logger\n>>> cazoo_logger.config()\n\nBy default this configures the root logger at INFO level, writing to a special JSON formatter.\n\nTo obtain a logger instance, call the appropriate fromContext function with your incoming event and context:\n\n>>> def handler(event, context):\n...     logger = cazoo_logger.fromContext(event, context)\n...     logger.info('sup?')\n...\n\nThis will result in well-formatted json messages with a documented schema.\n\n::\n\n  {\n      \"msg\": \"sup?\",\n      \"context\": {\n          \"request_id\": \"abc123\",\n          \"function\": {\"name\": \"do-things\", \"version\": \"0.1.2.3\"},\n          \"sns\": {\n              \"id\": \"66591d01-0241-5751-bb17-586e5a6dcf91\",\n              \"topic\": \"arn:aws:sns:us-east-1:12345678912:bucket-o-stuff\",\n              \"type\": \"Notification\",\n              \"subject\": \"Amazon S3 Notification\",\n          },\n      }\n  }\n\nIf you don't have an AWS context and event, you can construct a logger with no context\n\n>>> logger = cazoo_logger.empty()\n\nLogging Errors\n--------------\n\nLogging caught errors is as simple as setting the exc_info kwarg to True on the log call.\n\n>>> try:\n...     raise ValueError(\"What in the heck do you call that?\")\n... except:\n...     logger.warn(\"I dunno man, looks pretty sketchy to me\", exc_info=True)\n...\n    {\"msg\": \"I dunno man, looks pretty sketchy to me\", \"data\": {\"error\": {\"name\": \"ValueError\", \"message\": \"What in the heck do you call that?\", \"stack\": \"Traceback (most recent call last):\\n  File \\\"<stdin>\\\", line 2, in <module>\\nValueError: What in the heck do you call that?\"}}}\n\n\nLogging additional data\n-----------------------\n\nYou might want to include additional structured data in your logs. Any values you pass to the `extra` kwarg will be json serialised into the `data` section of your log line.\n\n>>> logger.info(\"I did a query\", extra={'sql': {'query': 'select * from table where field = ?', 'parameters': [123] }})\n{\"msg\": \"I did a query\", \"data\": {\"sql\": {\"query\": \"select * from table where field = ?\", \"parameters\": [123]}}}\n\nYou can also use the `with_data` method. This method returns a new logger instance with the data section pre-populated.\n\n>>> new_logger = logger.with_data(sql={'query': 'select * from foo where bar = ?', 'parameters':[234]})\n>>> new_logger.debug('doin a query')\n{\"msg\": \"doin a query\", \"data\": {\"sql\": {\"query\": \"select * from foo where bar = ?\", \"parameters\": [234]}}}\n>>> new_logger.error('oh noes! the query did not work!')\n{\"msg\": \"oh noes! the query did not work!\", \"data\": {\"sql\": {\"query\": \"select * from foo where bar = ?\", \"parameters\": [234]}}}\n\n\nLogging additional context\n--------------------------\n\nSimilarly you might want to add more data to the context section of your log event.\n\n>>> new_logger = logger.with_context(request_id='abc-123')\n>>> new_logger.info('handling request')\n{\"msg\": \"handling request\", \"context\": {\"request_id\": \"abc-123\"}}\n\n.. _cazoo logger: https://www.npmjs.com/package/cazoo-logger\n.. _aws_lambda_logger: https://pypi.org/project/aws-lambda-logging\n\nAdditional Log Levels\n---------------------\nThe add_logging_level function allows you to add custom log levels to the logger.\nSo for example a level of \"TRACE\" could be added at 15 to provide a level of logging is\nbetween DEBUG and INFO.",
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