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Loguru based custom logging package for simple python projects.

Project description

Easily Launch Logging (el_logging)

Loguru based custom logging package for simple python projects.

Features

  • Loguru based logging
  • Custom basic logging module
  • Logging to files (all, error, json)
  • Custom logging formats
  • Custom options as a configs
  • Colorful logging
  • Multiprocess compatibility (Linux, macOS - 'fork', Windows - 'spawn')

Installation

1. Prerequisites

  • Python (>= v3.7)
  • PyPi (>= v21)

2. Install el-logging

A. [RECOMMENDED] PyPi install

# Install or upgrade el-logging package:
pip install --upgrade el-logging

# To uninstall package:
pip uninstall -y el-logging

B. Manually add to PYTHONPATH (Recommended for development)

# Clone repository by git
git clone git@bitbucket.org:ellexiinc/elcomm.git
cd el_logging

# Install python dependencies
pip install --upgrade pip
cat requirements.txt | xargs -n 1 -L 1 pip install --no-cache-dir

# Add current path to PYTHONPATH
export PYTHONPATH="${PWD}:${PYTHONPATH}"

C. Manually compile and setup (Not recommended)

# Clone repository by git
git clone git@bitbucket.org:ellexiinc/elcomm.git
cd el_logging

# Building python package
pip install --upgrade pip setuptools wheel
python setup.py build
# Install python dependencies with built package to current python environment
python setup.py install --record installed_files.txt

# To remove only installed el-logging package:
head -n 1 installed_files.txt | xargs rm -vrf
# Or to remove all installed files and packages:
cat installed_files.txt | xargs rm -vrf

3. Configuration (You can skip this step, if you don't want to configure)

cp -v .env.example [PROJECT_DIR]/.env
cd [PROJECT_DIR]
nano .env
mkdir -vp [PROJECT_DIR]/configs

cp -v logger.yaml [PROJECT_DIR]/configs/logger.yaml
rm -vf logger.yaml
cd [PROJECT_DIR]
nano configs/logger.yaml

Usage/Examples

Import el_logging module:

from el_logging import logger


logger.trace('Tracing...')
logger.debug('Debugging...')
logger.info('Logging info.')
logger.success('Success.')
logger.warning('Warning something.')
logger.error('Error occured.')
logger.critical('CRITICAL ERROR.')


def divide(a, b):
    _result = a / b
    return _result

try:
    divide(10, 0)
except Exception as err:
    logger.exception("Failed to divide:")

Running Tests

To run tests, run the following command:

python -m unittest tests/test_*.py

Environment Variables

You can use the following environment variables inside .env file:

ENV=development
DEBUG=true
APP_NAME=tsc_vrae
LOGS_DIR="/var/log/app"

Configuration

You can use the following sample configuration:

logger:
    level: "INFO"
    use_color: true
    use_icon: false
    use_backtrace: true
    std_format_str: "[<c>{time:YYYY-MM-DD HH:mm:ss.SSS Z}</c> | <level>{lvlname:<5}</level> | <w>{file}</w>:<w>{line}</w>]: <level>{message}</level>"
    use_log_file: false
    file_format_str: "[{time:YYYY-MM-DD HH:mm:ss.SSS Z} | {lvlname:<5} | {file}:{line}]: {message}"
    rotate_when:
        at_hour: 0
        at_minute: 0
        at_second: 0
    rotate_file_size: 10000000
    backup_file_count: 50
    file_encoding: utf8
    all_log_filename: "{app_name}.std.all.log"
    err_log_filename: "{app_name}.std.err.log"
    use_log_json: false
    use_custom_json: false
    json_all_log_filename: "{app_name}.json.all.log"
    json_err_log_filename: "{app_name}.json.err.log"
    # logs_dir: /var/log/app

References

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