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A simple Python package

Project description

Logger Module

Overview

The Logger module is designed to produce logs for applications with flexible output options. It supports different log data formats and ensures structured logging for better observability.

Features

  • Supports multiple output destinations:
    • Stdout (default)
    • File (logs are stored in app.log)
    • Queue service (S3 storage via Kafka)
  • Supports various log data formats:
    • Space-separated key-value pairs: key:value key:value
    • Comma-separated key-value pairs: key:value, key:value
    • JSON or direct objects: {key:value, key:value}
    • Quoted JSON-like objects: '{key:value, key:value}'
  • Default log fields included:
    • Timestamp (ISO format)
    • Log level (INFO, WARN, DEBUG, ERROR)

Installation

pip install vtb_logger

Usage

Initializing the Logger

from vtb_logger import Logger

logger = Logger(service_id="my_system:my_service", log_type="file")
  • service_id: Required when using que log type (Format: <system-name>:<service-name>)
  • log_type: Options are stdout (default), file, or que

Logging Messages

logger.info(data="key1:value1 key2:value2")  # Space-separated
logger.warn(data="key1:value1, key2:value2") # Comma-separated
logger.debug(data='{"key1":"value1", "key2":"value2"}')  # JSON
logger.error(data={"key1": "value1", "key2": "value2"})  # Direct object

Required Environment Variables

For queue-based logging, set the following:

export BOOTSTRAP_SERVER=<kafka_queue_connection>

Implementation Details

  • __detect_data_format(data): Identifies the log data format
  • __log_formatter(level, data): Formats logs according to the identified data structure
  • __log_controller(log): Routes logs to the appropriate destination (stdout, file, or que)

License

This module is provided under the MIT License.


For more details, refer to the official documentation or contact support.

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