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Structured logging for Python with pluggable pipelines and transports

Project description

logfn-python

Structured logging for Python with pluggable pipelines and transports.

Features

  • Structured Logging: JSON-based log events with consistent schema
  • Log Levels: trace, debug, info, warn, error, fatal
  • Child Loggers: Create scoped loggers with inherited context
  • Pipeline Stages: Pluggable event processing (redaction, enrichment, sampling)
  • Multiple Sinks: Console (pretty/JSON), HTTP (batched with retry)
  • Type Hints: Fully typed with Python type hints

Installation

pip install logfn

Quick Start

from logfn import dev_logger

logger = dev_logger("my-app")

logger.info("Application started", version="1.0.0")
logger.warn("Deprecated API used", api="/old-endpoint")
logger.error("Request failed", status_code=500, path="/api/users")

Basic Usage

Creating a Logger

from logfn import create_logger, SinkConsole

logger = create_logger(
    name="my-service",
    level="info",
    sinks=[SinkConsole(json=True)],
)

logger.info("User logged in", user_id="123", email="user@example.com")

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