lfp-logging 0.0.5

A simple, zero-dependency lazy-initialization logging utility

lfp-logging

A simple, zero-dependency logging utility for Python that provides lazy-initialization and automatic configuration.

Features

• Zero Dependencies: Built entirely on the Python standard library.
• Lazy Initialization: Logging is only configured when the first log message is actually handled. It uses a patching mechanism that stays out of the way until a log is emitted.
• Automatic Name Discovery: Automatically determines logger names based on the caller's class, module, or file name.
• Smart Default Handlers:
  • INFO messages are sent to stderr (along with all other levels) by default.
  • Detailed formatting including timestamps, levels, and line numbers.
• ANSI Colors: Automatic color support for terminals, with overrides for popular IDEs (VSCode, PyCharm) and CI environments.
• Explicit Override Support: If you call logging.basicConfig() yourself, lfp-logging will automatically back off and let your configuration take priority.
• Flexible Configuration: Supports configuration via environment variables.
• Multi-platform Support: Supports macOS (ARM/x64), Linux (ARM/x64), and Windows (x64/ARM).

Installation

You can install lfp-logging directly from GitHub using pip:

pip install git+https://github.com/regbo/lfp-logging-py.git

Or add it to your pyproject.toml dependencies:

dependencies = [
    "lfp_logging @ git+https://github.com/regbo/lfp-logging-py.git"
]

Quick Start

from lfp_logging import logger

# The logger name is automatically discovered as the class name "MyService"
class MyService:
    def __init__(self):
        self.log = logger()
    
    def do_something(self):
        self.log.info("Starting task...")
        self.log.warning("Something might be wrong.")

# You can specify one or more potential names. 
# The first valid name (non-empty, not "__main__") will be used.
log = logger(None, "__main__", "my_app")
log.info("Hello World!") # Uses "my_app"

Configuration

The logging level and formats can be controlled using environment variables.

Environment Variables

• LOG_LEVEL: Set the global log level. Accepts names (e.g., DEBUG, INFO) or numeric values (e.g., 10, 20).
• LOG_FORMAT: Custom log format string (standard Python logging format).
• LOG_FORMAT_DATE: Custom date format (default: %Y-%m-%d %H:%M:%S).
• LOG_FORMAT_COLOR: Global ANSI color code for all levels.
• LOG_FORMAT_COLOR_<LEVEL>: Level-specific ANSI color code (e.g., LOG_FORMAT_COLOR_DEBUG).
• LOG_CONFIG_LAZY: Defer logging configuration until the first log message is emitted (default: false). Set to true, 1, yes, or on to enable.

System Arguments

The --log-level argument is no longer supported directly by the core configuration, but can be implemented by the user by setting the LOG_LEVEL environment variable before the first log call.

Development

This project uses uv for dependency management and pytest for testing.

Running Tests

uv run pytest