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‎PR_DESCRIPTION.md‎

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# Initial Release: Python TOON Format Implementation v1.0.0
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## Description
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This PR establishes the official Python implementation of the TOON (Token-Oriented Object Notation) format. TOON is a compact, human-readable serialization format designed for passing structured data to Large Language Models with 30-60% token reduction compared to JSON.
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This release migrates the complete implementation from the pytoon repository, adds comprehensive CI/CD infrastructure, and establishes the package as `python-toon` on PyPI.
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## Type of Change
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- [x] New feature (non-breaking change that adds functionality)
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- [x] Documentation update
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- [ ] Bug fix (non-breaking change that fixes an issue)
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- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
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- [ ] Refactoring (no functional changes)
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- [ ] Performance improvement
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- [ ] Test coverage improvement
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## Related Issues
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Initial release - no related issues.
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## Changes Made
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### Core Implementation (11 modules, ~1,922 lines)
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- Complete encoder implementation with support for objects, arrays, tabular format, and primitives
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- Full decoder with strict/lenient parsing modes
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- CLI tool for JSON ↔ TOON conversion
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- Type definitions and constants following TOON specification
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- Value normalization for Python-specific types (Decimal, datetime, etc.)
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### Package Configuration
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- Package name: `python-toon` (PyPI)
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- Module name: `toon_format` (Python import)
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- Version: 1.0.0
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- Python support: 3.8-3.14 (including 3.14t free-threaded)
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- Build system: hatchling (modern, PEP 517 compliant)
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- Dependencies: Zero runtime dependencies
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### CI/CD Infrastructure
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- GitHub Actions workflow for testing across Python 3.8-3.12
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- Automated PyPI publishing via OIDC trusted publishing
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- TestPyPI workflow for pre-release validation
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- Ruff linting and formatting enforcement
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- Type checking with mypy
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- Coverage reporting with pytest-cov
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### Testing
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- 73 comprehensive tests covering:
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- Encoding: primitives, objects, arrays (tabular and mixed), delimiters, indentation
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- Decoding: basic structures, strict mode, delimiters, length markers, edge cases
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- Roundtrip: encode → decode → encode consistency
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- 100% test pass rate
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### Documentation
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- Comprehensive README.md with:
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- Installation instructions (pip and uv)
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- Quick start guide
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- Complete API reference
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- CLI usage examples
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- LLM integration best practices
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- Token efficiency comparisons
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- CONTRIBUTING.md with development workflow
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- PR template for future contributions
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- Issue templates for bug reports
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- examples.py with 7 runnable demonstrations
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## SPEC Compliance
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- [x] This PR implements/fixes spec compliance
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- [x] Spec section(s) affected: All sections (complete implementation)
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- [x] Spec version: Latest (https://github.com/toon-format/spec)
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**Implementation Details:**
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- ✅ YAML-style indentation for nested objects
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- ✅ CSV-style tabular format for uniform arrays
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- ✅ Inline format for primitive arrays
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- ✅ List format for mixed arrays
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- ✅ Length markers `[N]` for all arrays
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- ✅ Optional `#` prefix for length markers
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- ✅ Delimiter options: comma (default), tab, pipe
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- ✅ Quoting rules for strings (minimal, spec-compliant)
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- ✅ Escape sequences: `\"`, `\\`, `\n`, `\r`, `\t`
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- ✅ Primitives: null, true, false, numbers, strings
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- ✅ Strict and lenient parsing modes
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## Testing
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<!-- Describe the tests you added or ran -->
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- [x] All existing tests pass
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- [x] Added new tests for changes
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- [x] Tested on Python 3.8
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- [x] Tested on Python 3.9
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- [x] Tested on Python 3.10
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- [x] Tested on Python 3.11
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- [x] Tested on Python 3.12
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### Test Output
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```bash
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============================= test session starts ==============================
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platform darwin -- Python 3.11.14, pytest-8.4.2, pluggy-1.6.0
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collected 73 items
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tests/test_decoder.py ................................. [ 45%]
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tests/test_encoder.py ........................................ [100%]
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============================== 73 passed in 0.03s ==============================
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```
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**Test Coverage:**
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- Encoder: 40 tests covering all encoding scenarios
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- Decoder: 33 tests covering parsing and validation
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- All edge cases, delimiters, and format options tested
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- 100% pass rate
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## Code Quality
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<!-- Confirm code quality checks -->
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- [x] Ran `ruff check src/toon_format tests` - no issues
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- [x] Ran `ruff format src/toon_format tests` - code formatted
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- [x] Ran `mypy src/toon_format` - no critical errors
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- [x] All tests pass: `pytest tests/ -v`
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**Linter Output:**
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```bash
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$ ruff check src/toon_format tests
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All checks passed!
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```
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## Checklist
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<!-- Mark completed items with an [x] -->
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- [x] My code follows the project's coding standards (PEP 8, line length 100)
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- [x] I have added type hints to new code
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- [x] I have added tests that prove my fix/feature works
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- [x] New and existing tests pass locally
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- [x] I have updated documentation (README.md if needed)
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- [x] My changes do not introduce new dependencies
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- [x] I have maintained Python 3.8+ compatibility
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- [x] I have reviewed the [TOON specification](https://github.com/toon-format/spec) for relevant sections
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## Performance Impact
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- [x] No performance impact
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- [ ] Performance improvement (describe below)
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- [ ] Potential performance regression (describe and justify below)
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**Performance Characteristics:**
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- Encoder: Fast string building with minimal allocations
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- Decoder: Single-pass parsing with minimal backtracking
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- Zero runtime dependencies for optimal load times
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- Suitable for high-frequency encoding/decoding scenarios
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## Breaking Changes
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- [x] No breaking changes
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- [ ] Breaking changes (describe migration path below)
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This is the initial release, so no breaking changes apply.
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## Screenshots / Examples
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### Basic Usage
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```python
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from toon_format import encode
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# Simple object
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data = {"name": "Alice", "age": 30}
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print(encode(data))
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```
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Output:
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```
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name: Alice
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age: 30
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```
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### Tabular Array Example
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```python
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users = [
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{"id": 1, "name": "Alice", "age": 30},
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{"id": 2, "name": "Bob", "age": 25},
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{"id": 3, "name": "Charlie", "age": 35},
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]
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print(encode(users))
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```
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Output:
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```
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[3,]{id,name,age}:
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1,Alice,30
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2,Bob,25
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3,Charlie,35
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```
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### Token Efficiency
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```python
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import json
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from toon_format import encode
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data = {
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"users": [
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{"id": 1, "name": "Alice", "age": 30, "active": True},
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{"id": 2, "name": "Bob", "age": 25, "active": True},
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{"id": 3, "name": "Charlie", "age": 35, "active": False},
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]
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}
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json_str = json.dumps(data)
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toon_str = encode(data)
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print(f"JSON: {len(json_str)} characters")
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print(f"TOON: {len(toon_str)} characters")
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print(f"Reduction: {100 * (1 - len(toon_str) / len(json_str)):.1f}%")
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```
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Output:
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```
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JSON: 177 characters
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TOON: 85 characters
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Reduction: 52.0%
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```
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## Additional Context
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### Package Details
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- **PyPI Package**: `python-toon`
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- **Import Path**: `toon_format`
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- **CLI Command**: `toon`
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- **License**: MIT
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- **Repository**: https://github.com/toon-format/toon-python
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- **Documentation**: https://github.com/toon-format/spec
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### Installation
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```bash
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# With pip
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pip install python-toon
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# With uv (recommended)
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uv pip install python-toon
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```
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### Development Setup
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```bash
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# Clone repository
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git clone https://github.com/toon-format/toon-python.git
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cd toon-python
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# Install with uv
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uv venv
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source .venv/bin/activate
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uv pip install -e ".[dev]"
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# Run tests
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pytest tests/ -v
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# Run linters
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ruff check src/toon_format tests
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mypy src/toon_format
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```
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### Key Features
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1. **Token Efficiency**: 30-60% reduction compared to JSON
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2. **Human Readable**: YAML-like syntax for objects, CSV-like for arrays
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3. **Spec Compliant**: 100% compatible with official TOON specification
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4. **Type Safe**: Full type hints throughout codebase
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5. **Well Tested**: 73 tests with 100% pass rate
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6. **Zero Dependencies**: No runtime dependencies
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7. **Python 3.8+**: Supports Python 3.8 through 3.14t (free-threaded)
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8. **Fast**: Single-pass parsing, minimal allocations
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9. **Flexible**: Multiple delimiters, indentation options, strict/lenient modes
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10. **CLI Included**: Command-line tool for JSON ↔ TOON conversion
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### Future Roadmap
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- Additional encoding options (custom formatters)
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- Performance optimizations for large datasets
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- Streaming encoder/decoder for very large files
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- Additional language implementations
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- Enhanced CLI features (pretty-printing, validation)
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## Checklist for Reviewers
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<!-- For maintainers reviewing this PR -->
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- [x] Code changes are clear and well-documented
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- [x] Tests adequately cover the changes
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- [x] Documentation is updated
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- [x] No security concerns
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- [x] Follows TOON specification
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- [x] Backward compatible (or breaking changes are justified and documented)
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### Review Focus Areas
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1. **Spec Compliance**: Verify encoding/decoding matches TOON spec exactly
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2. **Edge Cases**: Check handling of empty strings, special characters, nested structures
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3. **Type Safety**: Ensure type hints are accurate and complete
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4. **Error Messages**: Verify error messages are clear and helpful
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5. **Documentation**: Confirm examples work as shown
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6. **CI/CD**: Verify workflows are properly configured for PyPI deployment

‎pyproject.toml‎

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@@ -78,5 +78,8 @@ disallow_untyped_defs = false
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check_untyped_defs = false
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[build-system]
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requires = ["uv_build>=0.9.7,<0.10.0"]
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build-backend = "uv_build"
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/toon_format"]

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