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Env-aware logging with per-call stdout control and a handy ErrorHandler.

Project description

logging-and-error-handling-kit

Env-aware logging with per-call stdout control and rotating file handlers. Designed for services that need clean console logs in dev and quiet consoles in prod—without losing file logs.

PyPI Python License: MIT

Features

  • Per-call stdout control: logger.info("...", display_on_stdout=False)
  • Env-aware default: console shows logs in local/staging, stays quiet in prod (APP_ENV=prod)
  • Rotating files: service.log, errors.log, optional debug.log
  • One-liner setup with setup_logger() and get_logger(__name__)
  • Compatible with standard logging API; no vendor lock-in.

Install

pip install logging-and-error-handling-kit

Quickstart

from logging_and_error_handling_kit import setup_logger, get_logger

setup_logger()  # once at app startup
log = get_logger(__name__)

log.info("Hello!")                                  # prints in non-prod, always goes to files
log.info("Silent on console", display_on_stdout=False)  # still goes to files
log.error("Oops", display_on_stdout=True)           # force to console (subject to handler level)

How it decides what hits stdout

  • APP_ENV controls the default:

    • APP_ENV=prod → default display_on_stdout=False
    • any other (or unset) → default True
  • You can override per call: display_on_stdout=True/False

  • Console level via CONSOLE_LOG_LEVEL (default INFO)

Environment variables

Name Default Purpose
APP_ENV local Env profile: local, staging, prod
CONSOLE_LOG_LEVEL INFO Console verbosity (DEBUG, INFO, WARNING, ERROR)
DEBUG False If true, also writes detailed debug.log
LOGS_DIR (if you add this) logs Directory for log files

Tip: Add a .env and use python-dotenv (already in dependencies) to load these at startup.

File outputs (rotating)

  • logs/service.logINFO+
  • logs/errors.logERROR+
  • logs/debug.logDEBUG+ (only if DEBUG=true)

API

setup_logger() -> None
    # Initializes handlers/formatters/filters on the root logger.

get_logger(name: str) -> logging.Logger
    # Standard logger retrieval.

# Log methods (standard logging API) accept:
logger.info(msg, *args, display_on_stdout: bool = <env default>, **kwargs)
logger.debug(...)
logger.warning(...)
logger.error(...)
logger.critical(...)
logger.exception(msg, *args, display_on_stdout=<env default>, **kwargs)
    # .exception sets exc_info=True automatically

Examples

Service-style bootstrap

import os
from logging_and_error_handling_kit import setup_logger, get_logger
from dotenv import load_dotenv

load_dotenv()        # loads APP_ENV, CONSOLE_LOG_LEVEL, etc.
setup_logger()

log = get_logger("my.service")

log.info("Service starting…")
try:
    1 / 0
except Exception:
    log.exception("Calculation failed", display_on_stdout=True)

Quiet console in prod, verbose locally

# local
export APP_ENV=local
python app.py  # console shows logs

# prod
export APP_ENV=prod
python app.py  # console minimal unless you force display_on_stdout=True

Project structure (suggested)

src/
  logging_and_error_handling_kit/
    __init__.py
    error_handler.py
    logger_config.py
README.md
LICENSE
pyproject.toml

Versioning & releases

  1. Bump version in pyproject.toml
  2. Build: python -m build
  3. Upload: python -m twine upload dist/*
  4. Install: pip install logging-and-error-handling-kit

Contributing

Issues and PRs welcome. Please add tests and keep public API stable.

License

MIT – see LICENSE.


How to publish the README changes to PyPI

  • Edit README.md

  • Ensure pyproject.toml has readme = "README.md"

  • Rebuild & upload a new version:

    # bump version in pyproject.toml (e.g., 0.1.2)
    python -m build
    python -m twine upload dist/*
    

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