Skip to main content

Flexible taxonomy management for generic items — categories, tags, and multi-parent hierarchies with pluggable storage.

Project description

taxomesh

Reusable taxonomy engine for products, content, media, or any domain object you already have.

taxomesh lets you attach categories, tags, and item relationships to existing entities without baking taxonomy logic into your core models or re-implementing the same validation, admin, and API workflows in every project.

Use it when "we just need categories" stops being simple:

  • categories can have more than one parent
  • the same item must appear in multiple branches
  • ordering depends on the parent category
  • your real entities already live in another system or model
  • the same taxonomy rules must work from Python, CLI, Django admin, or your own API

What you get:

  • multi-parent category DAGs
  • per-parent sort ordering
  • free-form item tags
  • typed item-to-item relations
  • pluggable storage backends (YAML, JSON, Django)
  • one service layer with optional CLI, HTTP, and Django integrations
  • typo-tolerant fuzzy search over items and categories

CI PyPI version Python versions License: MIT Status: Pre-Alpha

What Taxomesh Does

At a high level, taxomesh is a reusable taxonomy layer.

It stores and validates the structure around your entities:

  • categories and subcategories
  • item placement inside one or more categories
  • tags
  • typed relations between items
  • slugs, metadata, and external IDs for integration

Your actual business objects can stay where they already are. In many projects, taxomesh is the missing layer between "our app already has products/articles/assets" and "we need a serious taxonomy on top of them."

Typical Use Cases

  • Ecommerce catalogs where a product appears in several navigation paths
  • Editorial or CMS systems with sections, topics, and reusable tagging
  • Media catalogs with genre, format, collection, and related-item links
  • Internal content or knowledge systems that need taxonomy without custom admin work

Status

taxomesh is currently pre-alpha (0.1.x). API and behavior can still change between releases.

Installation

Requires Python 3.11+.

pip install taxomesh

Optional Django integration:

pip install "taxomesh[django]"

Quick Start

Example: your application already has a product, track, or article identified by an external ID, and you want to place it in a reusable taxonomy.

With no explicit repository configured, TaxomeshService() auto-discovers taxomesh.toml; otherwise it falls back to the default YAML backend.

from taxomesh import TaxomeshService

svc = TaxomeshService()

music = svc.create_category(name="Music")
jazz = svc.create_category(name="Jazz")
formats = svc.create_category(name="Formats")
vinyl = svc.create_category(name="Vinyl")

svc.add_category_parent(jazz.category_id, music.category_id, sort_index=10)
svc.add_category_parent(vinyl.category_id, formats.category_id, sort_index=20)

album = svc.create_item(
    external_id="catalog:42",
    name="Kind of Blue",
    slug="kind-of-blue",
)

svc.place_item_in_category(album.item_id, jazz.category_id, sort_index=1)
svc.place_item_in_category(album.item_id, vinyl.category_id, sort_index=3)

featured = svc.create_tag(name="featured")
svc.assign_tag(featured.tag_id, album.item_id)

print(album.external_id)  # "catalog:42"
print([node.category.name for node in svc.get_graph().roots])  # ["Music", "Formats"]

The item still belongs to your application. taxomesh manages the taxonomy layer around it: placement, ordering, tags, relations, slugs, and traversal.

Resolving items and categories by external_id

Use the dedicated lookup methods for point lookups by external_id:

# Correct — uses the database index directly
items = svc.get_items_by_external_id("catalog:42")       # list[Item]
categories = svc.get_categories_by_external_id("solo")  # list[Category]

Do not use list_items() or list_categories() with a Python filter — that performs a full table scan and bypasses the index.

The external_id field is indexed on the Django backend but not unique. Result length indicates the state of your data:

Length Meaning
0 No match — the external ID is an orphan or was never assigned
1 Unique match — the expected case for a well-maintained catalog
>= 2 Duplicates exist — review and deduplicate as needed

Fuzzy Search

search_items() and search_categories() find matches by name, slug, and external ID with typo tolerance, accent-insensitivity, and ranked results — no extra infrastructure required.

# Typo-tolerant: finds "Piazzolla" even with a misspelling
results = svc.search_items("piazola")

# Accent-insensitive: finds "Agustín Magaldi" without the accent
results = svc.search_items("agustin magaldi")

# Scoped to a subtree
results = svc.search_items("tango", category_id=cat.category_id, recursive=True)

# Category search, children of a specific parent only
results = svc.search_categories("orkesta tipika", parent_id=parent.category_id)

Results are sorted by match quality: exact matches first, then prefix, substring, and fuzzy matches. Pass fuzzy=False to restrict to exact/prefix/substring matching only. Pass enabled_only=False to include disabled items and categories.

See Python API — Fuzzy Search for the full parameter reference.

Why This Exists

Taxonomy work is usually underestimated. A simple category table becomes more complex once you need:

  • multiple parents instead of a strict tree
  • branch-specific ordering
  • items linked to existing models by external ID
  • reusable validation and errors across app code, CLI, admin, and APIs
  • storage that fits both local development and production integration

taxomesh packages those concerns into a single component so they do not have to be re-solved in each codebase.

Core Concepts

  • Item: an entity in your taxonomy, usually linked to a business object through external_id
  • Category: a taxonomy node with optional name, description, metadata, external_id, enabled, and unique slug
  • Tag: a free-form label assigned to items
  • ItemRelationLink: a directed, typed relation between two items such as covers, version_of, or performed_by
  • CategoryParentLink: the link from a category to one of its parents, including sort_index
  • ItemParentLink: the link from an item to a category, including sort_index
  • TaxomeshGraph: a read snapshot returned by get_graph() for traversal
  • Repository: the storage backend used by TaxomeshService

Documentation

Topic Description
What Taxomesh Solves Product overview, common use cases, and why taxonomy gets complex
Python API Categories, Items, Tags, Graph, slug and external-ID lookups
Django integration Django ORM + admin setup, model bridging
HTTP API integration Reuse request models, handlers, and error mapping in your existing web app
Repositories YAML, JSON, and Django storage backends; custom backends
Configuration taxomesh.toml reference
CLI reference Command-line interface for categories, items, tags, and graph

Design

taxomesh keeps a stable application-facing shape while letting storage and integration details vary:

  • Service layer: TaxomeshService is the main entry point for application code
  • Domain rules: taxonomy validation, including DAG constraints and typed errors
  • Repositories: YAML, JSON, Django, or a custom backend behind the same service API
  • Optional integrations: CLI, Django admin + ORM, and framework-agnostic HTTP helpers

Development

uv sync --dev
uv run pytest
uv run ruff check .
uv run mypy .

Contributing

Contributions are welcome. This project follows a spec-first workflow. Please align implementation PRs with the specs/ directory.

License

MIT.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

taxomesh-0.1.0a23.tar.gz (747.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

taxomesh-0.1.0a23-py3-none-any.whl (92.0 kB view details)

Uploaded Python 3

File details

Details for the file taxomesh-0.1.0a23.tar.gz.

File metadata

  • Download URL: taxomesh-0.1.0a23.tar.gz
  • Upload date:
  • Size: 747.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.10.10 {"installer":{"name":"uv","version":"0.10.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for taxomesh-0.1.0a23.tar.gz
Algorithm Hash digest
SHA256 a7a556eb6218aec310c37c21b8685217ae862e0d116bbc38c5e4cedb0cd0de62
MD5 b435a0f3cb107fc333253c00388008ed
BLAKE2b-256 9b8b78d1d57a58da92d66e4d0f1ee9282ee4213641d588fe3a2fc17dbf19defc

See more details on using hashes here.

File details

Details for the file taxomesh-0.1.0a23-py3-none-any.whl.

File metadata

  • Download URL: taxomesh-0.1.0a23-py3-none-any.whl
  • Upload date:
  • Size: 92.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.10.10 {"installer":{"name":"uv","version":"0.10.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for taxomesh-0.1.0a23-py3-none-any.whl
Algorithm Hash digest
SHA256 fc4e0f4efd61bbad8abdf479e4514594ef321d54d309516171814807ef2ac49b
MD5 67ed450d8c736d7b8abe640e2a85b45d
BLAKE2b-256 0a0f5627835325371d4d3cd32bc655168eea9c38739540ca2fa9d98e40171f48

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page