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Python Logging & Config

$19

Structured logging with structlog, environment-based configuration, secrets management, and 12-factor app patterns.

📁 16 files🏷 v1.0.0
JSONMarkdownYAMLPythonFastAPIDjangoFlask

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📁 File Structure 16 files

python-logging-config/ ├── LICENSE ├── README.md ├── configs/ │ ├── logging_dev.yaml │ ├── logging_prod.yaml │ └── logging_test.yaml ├── examples/ │ ├── celery_example.py │ └── fastapi_example.py ├── guides/ │ └── logging-guide.md ├── src/ │ ├── context.py │ ├── filters.py │ ├── formatters.py │ ├── handlers.py │ ├── middleware.py │ └── setup.py └── tests/ └── test_logging.py

📖 Documentation Preview README excerpt

Python Logging Config — Production-Ready Logging Setup

Structured logging, request context, ASGI/WSGI middleware, and environment-specific configs in one drop-in package.

What You Get

  • One-call setup — configure_logging("prod") loads the right YAML config
  • Structured JSON formatter — machine-readable logs for Datadog, ELK, CloudWatch
  • Request context — automatic request_id, user_id in every log line
  • ASGI & WSGI middleware — plug into FastAPI, Starlette, Flask, Django
  • Smart filters — suppress noisy loggers, rate-limit repeated messages
  • 3 YAML configs — dev (colorized console), prod (JSON to file + stdout), test (minimal)

File Tree


python-logging-config/
├── README.md
├── manifest.json
├── LICENSE
├── src/
│   ├── setup.py          # One-call logging configuration
│   ├── formatters.py     # JSON, colored, and key-value formatters
│   ├── handlers.py       # Rotating file, async queue handler
│   ├── context.py        # Context variables (request_id, user_id)
│   ├── middleware.py      # ASGI and WSGI middleware
│   └── filters.py        # Rate-limit and suppression filters
├── configs/
│   ├── logging_dev.yaml   # Development config
│   ├── logging_prod.yaml  # Production config
│   └── logging_test.yaml  # Test config
├── examples/
│   ├── fastapi_example.py # FastAPI integration
│   └── celery_example.py  # Celery task logging
├── tests/
│   └── test_logging.py
└── guides/
    └── logging-guide.md

Getting Started

Quick setup


from src.setup import configure_logging

configure_logging("dev")  # Colorized console output

import logging
logger = logging.getLogger(__name__)
logger.info("Application started")

Structured JSON logging (production)


configure_logging("prod")
logger.info("Order placed", extra={"order_id": "ORD-123", "total": 49.99})
# {"timestamp": "2026-03-10T12:00:00Z", "level": "INFO", "message": "Order placed", "order_id": "ORD-123", ...}

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .py preview

src/setup.py"""One-call logging configuration. Usage: from src.setup import configure_logging configure_logging("dev") # Colorized console configure_logging("prod") # JSON to file + stdout configure_logging("test") # Minimal output """ from __future__ import annotations import logging import logging.config from pathlib import Path from typing import Any import yaml CONFIGS_DIR = Path(__file__).resolve().parent.parent / "configs" _VALID_ENVS = {"dev", "prod", "test"} def configure_logging( env: str = "dev", *, config_dir: str | Path | None = None, overrides: dict[str, Any] | None = None, ) -> None: """Configure the Python logging system from a YAML config file. Loads ``logging_{env}.yaml`` from the configs directory and applies it via :func:`logging.config.dictConfig`. Args: env: Environment name — ``"dev"``, ``"prod"``, or ``"test"``. config_dir: Override the default configs directory. overrides: Dictionary of overrides merged into the loaded config.
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