ster 0.2.1

Interactive terminal editor for SKOS taxonomy files

ster

   _____ ______ ______ ____
  / ___//_  __// ____// __ \
  \__ \  / /  / __/  / /_/ /
 ___/ / / /  / /___ / _, _/
/____/ /_/  /_____//_/ |_|

  [ Breton: "Meaning" or "Sense" ]
  [  Simple Taxonomy EditoR     ]

ster is an interactive terminal editor for SKOS taxonomy files. Browse, create, and edit concepts in a full-screen TUI — no GUI, no database, just clean Turtle files.

ster is the Breton word for meaning, with homonyms for river and star. Let it guide your semantic voyage, keeping the flow and always following your star.

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Features

Interactive TUI

• Full-screen tree browser with keyboard navigation
• Inline concept creation, renaming, deletion, and label editing
• Detail panel: view and edit all SKOS fields (labels, definitions, scope notes, related links…)
• Fold / unfold subtrees; shows hidden-concept count
• Visual ⇔ indicator for concepts that carry cross-scheme mapping links
• Scheme dashboard: completion rates, quality issues, and concept counts at a glance

AI-assisted concept creation

When adding a concept (+ key), choose between entering a name manually or letting AI suggest up to 20 ordered concept names:

• AI Auto Suggest — the AI acts as a professional taxonomist who knows your domain. It proposes names ranked by relevance, you pick one (or ask for more), and the form is pre-filled.
• Before generating, ster shows you the exact prompt so you can review and adjust it.
• Supports any LLM via the llm library (online or local/offline models).
• Copy-paste mode — no local LLM needed: ster displays the prompt, copies it to the clipboard, and you paste the model's response from any web AI (ChatGPT, Claude, Gemini…).

Configure AI from the ⚙ Configure AI menu entry (sets model, provider, and copy-paste mode).

Multi-file workspace

• Open several .ttl files at once and see a merged taxonomy view
• Edits are always written to the correct source file automatically

Cross-scheme mapping

• Add exactMatch, closeMatch, broadMatch, narrowMatch, relatedMatch links between concepts in different files
• Remove links from the detail view — works even when the target file has been deleted
• Both source and target files are saved and staged in git on every change

Git integration

• Stage, commit, and push changes without leaving the terminal
• Browse full commit history with diffs inside the TUI

HTML export

• Generate a browsable, wiki-style HTML page from any taxonomy via pyLODE
• One HTML file per language detected in the taxonomy
• Sticky language-switcher bar links between language versions
• Available from the main menu or ster export

Other

• Auto-detection of taxonomy files in the current directory
• Round-trip safe: reads and writes .ttl, .rdf, .jsonld
• SKOS integrity validation

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Installation

Minimal (TUI + editing)

pip install ster

With AI features

pip install "ster[ai]"

Then configure your model from the main menu: ⚙ Configure AI. No model needed if you use copy-paste mode.

With HTML export

pip install "ster[html]"

From source

git clone https://github.com/gbelbe/ster.git
cd ster
pip install -e .           # core only
pip install -e ".[ai]"     # with AI features
pip install -e ".[html]"   # with HTML export
pip install -e ".[dev]"    # with test suite

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Dependencies

Group	Package	Purpose
core	rdflib>=7.0	RDF parsing and serialisation
core	typer[all]>=0.12	CLI framework
core	rich>=13.0	Terminal rendering, prompts, tables
[ai]	llm>=0.19	LLM abstraction layer (online & offline models)
[html]	pylode>=3.0	HTML generation from SKOS (VocPub profile)
[dev]	pytest>=8.0	Test suite
[dev]	pytest-cov>=5.0	Coverage reporting

Both llm and pylode are not installed by default. When you trigger a feature that needs them, ster will offer to install the package automatically.

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Quick start

Launch the interactive editor

ster

The home screen lists all taxonomy files in the current directory as a read-only ✓ display. Use arrow keys to navigate the action menu, then press Enter to confirm.

       ✓  equipement.ttl
       ✓  windvane-taxonomy.ttl

 ▶  1  ↵  Open Tree View
    2  ⎇  Browse git history
    3  🌐 Generate webpage
    4  ⚙  Configure AI
    5  ✕  Quit

Keyboard shortcuts (TUI)

Key	Action
↑ ↓	Navigate tree / fields
Enter	Expand/collapse node or open detail
+	Add concept — opens a menu: enter name manually or use AI Auto Suggest
d	Delete selected concept
e	Edit selected field in detail panel
m	Add a mapping link to another concept
g	Commit & push changes
?	Help screen
q / Esc	Back / quit

AI Auto Suggest

Press + on any concept or scheme, then select ✦ AI Auto Suggest:

1. ster renders the prompt and shows it for review — edit prompts.py to customise the wording
2. Press Enter to generate; the AI suggests up to 20 concept names ranked by relevance
3. Navigate the list and press Enter to pick a name (pre-fills the creation form)
4. Select Suggest more to get a fresh batch with deduplication

In copy-paste mode the prompt is displayed and copied to the clipboard; paste the model's response back and press Enter on an empty line.

Export to HTML

ster export my-taxonomy.ttl          # generates ./html/my-taxonomy_en.html …
ster export my-taxonomy.ttl -l en,fr # specific languages only
ster export my-taxonomy.ttl -o /tmp  # custom output directory

Or use the 🌐 Generate webpage option from the main menu.

Validate

ster validate my-taxonomy.ttl

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Architecture

ster/
├── model.py         — Pure dataclasses: Concept, ConceptScheme, Taxonomy
├── store.py         — RDF I/O via rdflib (.ttl / .rdf / .jsonld)
├── operations.py    — All SKOS mutations (add, remove, move, relate…)
├── workspace.py     — Multi-file workspace: merged view + per-file saves
├── workspace_ops.py — Cross-file mapping operations
├── nav.py           — Full-screen TUI (curses): tree, detail, inline edit
├── nav_state.py     — Typed state machine: one dataclass per viewer mode
├── nav_logic.py     — Pure functions: tree flattening, field builders
├── cli.py           — Typer entry-points (ster, ster export…)
├── ai.py            — LLM abstraction: model routing, copy-paste mode
├── prompts.py       — All AI prompt templates (string.Template)
├── html_export.py   — HTML generation via pyLODE VocPub
├── git_manager.py   — Git staging, commit, push
├── git_log.py       — Git history browser (TUI)
├── handles.py       — Short handle generation from camelCase URIs
└── validator.py     — SKOS integrity checks

Each layer depends only on the layers below it, keeping every module independently testable. AI prompts live in prompts.py as plain string.Template objects — edit them freely without touching any logic.

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Supported formats

Extension	Format
.ttl	Turtle (recommended)
.rdf / .xml	RDF/XML
.jsonld / .json	JSON-LD

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Development

pip install -e ".[dev]"
pytest
pytest --cov=ster --cov-report=term-missing

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CI / CD

Every push and pull request runs four parallel jobs via GitHub Actions:

Job	Tool	What it checks
Lint	ruff	Code style, import order, common bugs
Type check	mypy	Static type correctness
Security	bandit + pip-audit	SAST + known CVEs in dependencies
Tests	pytest × Python 3.11 / 3.12 / 3.13	Full test suite + coverage report

Coverage is uploaded to Codecov on every run.

Run checks locally

pip install -e ".[dev]"

ruff check .            # lint
ruff format --check .   # format
mypy ster/              # types
bandit -r ster/ -c pyproject.toml   # security
pip-audit               # dependency CVEs
pytest --cov=ster       # tests + coverage

Or install the pre-commit hooks to run ruff automatically on every commit:

pip install pre-commit
pre-commit install

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License

MIT