os-normalizer 0.4.0

Normalize raw OS strings/metadata into structured data (family, product, version, arch).

OS Normalizer

A Python library for identifying and parsing operating system information from various sources.

Overview

The OS Normalizer library parses raw operating system strings and JSON data to identify the OS family, version, architecture, and other details. It supports parsing of:

• Windows (NT builds, versions)
• macOS (Darwin versions, codenames)
• Linux distributions (Ubuntu, Debian, Red Hat, etc.)
• iOS and Android mobile OS
• BSD variants (FreeBSD, OpenBSD, NetBSD)
• Network operating systems (Cisco IOS, Junos, FortiOS, etc.)

Installation

pip install os-normalizer

Usage

The main entry point is the normalize_os function, which takes a string and an optional data dictionary and returns a structured OSData result.

Basic Usage

from os_normalizer import normalize_os

# Parse the OS information
result = normalize_os("Windows NT 10.0 build 22631 Enterprise x64")
print(result.family)  # windows
print(result.product)  # Windows 11
print(result.version_major)  # 11

Using Raw OS JSON Data

from os_normalizer import normalize_os

# Fingerprint with both raw string and JSON data
raw_os_string="Linux host 5.15.0-122-generic x86_64"
raw_os_json={
    "os_release": 'NAME="Ubuntu"\nID=ubuntu\nVERSION_ID="22.04.4"\nVERSION_CODENAME=jammy\nPRETTY_NAME="Ubuntu 22.04.4 LTS"'}

result = normalize_os(raw_os_string, raw_os_json)
print(result.family)  # linux
print(result.product)  # Ubuntu
print(result.codename)  # Jammy
print(result.arch)  # x86_64

Parsing Network Operating Systems

from os_normalizer import normalize_os

# Parse Cisco IOS XE
raw_os_string="Cisco IOS XE Software, Version 17.9.4a (Amsterdam) C9300-24T, universalk9, c9300-universalk9.17.09.04a.SPA.bin"

result = normalize_os(raw_os_string)
print(result.family)  # network-os
print(result.vendor)  # Cisco
print(result.product)  # IOS XE

Models

OSData

Represents structured operating system information:

• family: OS family (windows, linux, macos, ios, android, bsd, network-os)
• vendor: Vendor name (Microsoft, Apple, Cisco, etc.)
• product: Product name (Windows 11, Ubuntu, macOS, etc.)
• edition: Edition information (Pro, Enterprise, etc.)
• codename: Release codename (Sequoia, Ventura, etc.)
• channel: Release channel (GA, LTS, etc.)
• version_major, version_minor, version_patch, version_build: Version components
• kernel_name, kernel_version: Kernel details
• arch: Architecture (x86_64, arm64, etc.)
• distro: Distribution name
• like_distros: List of similar distributions
• pretty_name: Pretty formatted name
• hw_model, build_id: Network device details
• precision: Precision level (family, product, major, minor, patch, build)
• confidence: Confidence score (0.0 to 1.0)
• evidence: Evidence used for parsing decisions
• os_key: Canonical key for deduplication

Architecture

The library follows a modular architecture:

• os_normalizer.py: Main orchestration logic that delegates to appropriate parsers
• parsers/: OS-specific parsers (macOS, Linux, Windows, Network, Mobile, BSD)
• models.py: Data models for parsed results
• constants.py: Static lookup tables (aliases, build maps, codenames)
• helpers.py: Utility functions (architecture extraction, confidence calculation)

Testing

You can run tests with uv in a few ways:

• Ephemeral runner (downloads pytest if needed):
  • uvx pytest
• Use the project environment and dev dependencies declared in pyproject.toml:
  • uv run --group dev pytest
• Optional editable install for import paths:
  • uv pip install -e .
  • uv run pytest

Using Nox (with nox-uv)

If you prefer repeatable sessions, this project includes Nox configured with the nox-uv plugin so virtualenvs are created via uv:

• Run tests: uv run nox

Contributing

Contributions are welcome! Please ensure that any new parsers or improvements follow the existing code patterns and include appropriate tests.

License

MIT