logger-henryriveracs 0.3.0

A native python3 logging module for quickly setting up and managing logs.

logger

An easy-to-use logger class that can intelligently handle pushing stdout messages between files/terminals based off configured options. Extremely useful for setting up a whole logger.Logging() instance without worrying about configuring format/file-handling for scripts/applications.

Features

• Has a built-in logging style: [DATE TIME] [LEVEL] [LOG NAME] [LOG COUNT] - [MESSAGE]
• supports python's built-in with() statement
• Can figure out whether to log a specific message to a file or log based off the Level configured such as:
  • Level 0/None - Log everything to the terminal.
  • Level 1 - Log critical to file. Log warnings/ok/info to terminal.
  • Level 2 - Log critical/error to file. Log warnings/info/ok to terminal.
  • Level 3 - Log errors/warnings to file. Log INFO/OK the terminal
  • Level 4 - Log everything into file
• Dynamically switch log levels and logging files with set_log_file() and set_log_level() respectively.
• Enable/Disable logging as needed.

Installation

1. git clone https://github.com/henryriveraCS/logger

2. Move logger/logger.py into your project directory

3. Because we don't use any third party libraries the installation is done :^)

Usage

#python3
from logger import Log
items = ["item1", "item2", "item3", "item4", "item5"]

my_logger = Log(Name="My Logger")

my_logger.info(items[0])
my_logger.ok(items[1])
my_logger.warning(items[2])
my_logger.error(items[3])
my_logger.critical(items[4])

# pointing logger to example.log with log level set to 2
my_logger.set_log_file("example.log")
my_logger.set_log_level(2)
my_logger.ok("Test OK")
my_logger.error("Test Error")

Results from running example.py under the example/ folder

Terminal:

File: