dkrlog 2.3

This library standardizes logs and exceptions, ensuring consistent error handling and tracking.

Dkr Log

This Python library is designed to standardize all logs_exceptions that a Python application may encounter. By implementing a uniform logging system, it ensures consistency in how errors are displayed in the terminal and recorded in an external database. Not only does it enhance readability and debugging efficiency, but it also provides structured error tracking for improved application maintenance.

Installation

pip install dkrlog

Configuration

Before using this library, it is necessary to define specific environment variables that facilitate logging and error tracking:

• DB_STR: The database connection string used to connect to the destination database.

Additionally, the following function must be executed at the beginning of the code to set up the execution ID, as it will be used in all log entries:

def set_vars(exec_id: str, app_name:str):
    ''' Define o ID da execução '''
    global EXEC_ID, APPLICATION_NAMESPACE, T_CHANNEL, T_URL

    EXEC_ID = exec_id # The execution ID will be used to identify the execution in the destination database.
    APPLICATION_NAMESPACE = app_name # The name by which the application will be identified in the destination database.
    T_CHANNEL = t_channel # The channel to which the error card will be sent.
    T_URL = t_url # The URL of the external Teams webhook to send the error card.

These variables must be populated with the information at the start of the program, ensuring that all logs maintain consistency throughout the application's lifecycle.

Usage

from dkrlog import log_exception, log, set_vars, set_logfile, get_date

# Initialize the execution ID at the beginning of your script
set_vars("your_execution_id", "application_name", "teams_channel", "teams_url")

# Set up a log file (optional but recommended)
set_logfile("execution_log")

# == Logging messages and exceptions ==

# Standard log message:
log("This is an informational message", type="i")

# Logging exceptions within a try-except block:
try:
    # Some operation that may fail
    result = 10 / 0
except Exception as e:
    log_exception("An error occurred while processing", e)

# By following these steps, all logs will be properly recorded in the terminal, saved to log files, and sent to the external logging API

License

This project is licensed under the MIT License.