pycti.utils.opencti_logger

Classes

CustomJsonFormatter

Custom JSON formatter for structured logging.

Functions

logger(level[, json_logging])

Create a logger with JSON or standard formatting.

Module Contents

class pycti.utils.opencti_logger.CustomJsonFormatter(*args, json_default: Callable | None = None, json_encoder: Callable | None = None, json_serializer: Callable = json.dumps, json_indent: int | str | None = None, json_ensure_ascii: bool = True, **kwargs)

Bases: pythonjsonlogger.json.JsonFormatter

Custom JSON formatter for structured logging.

Parameters:

• args – see [BaseJsonFormatter][pythonjsonlogger.core.BaseJsonFormatter]

• json_default – a function for encoding non-standard objects

• json_encoder – custom JSON encoder

• json_serializer – a [json.dumps](https://docs.python.org/3/library/json.html#json.dumps)-compatible callable that will be used to serialize the log record.

• json_indent – indent parameter for the json_serializer

• json_ensure_ascii – ensure_ascii parameter for the json_serializer

• kwargs – see [BaseJsonFormatter][pythonjsonlogger.core.BaseJsonFormatter]

add_fields(log_record, record, message_dict)

Add custom fields to the log record.

Parameters:

• log_record – The log record dictionary

• record – The LogRecord instance

• message_dict – The message dictionary

pycti.utils.opencti_logger.logger(level, json_logging=True)

Create a logger with JSON or standard formatting.

Parameters:

• level (int) – Logging level (e.g., logging.INFO, logging.DEBUG)

• json_logging (bool) – Whether to use JSON formatting for logs

Returns:

AppLogger class

Return type:

class