# Quillmark Python API Overhaul - Implementation Summary

This document summarizes the changes made to implement the major quillmark-python overhaul as specified in the requirements.

## Requirements Met

### 1. Load Quill ✓
The API provides the `Quill.from_path()` method to load quills from the filesystem:

```python
quill = Quill.from_path("path/to/quill")
engine.register_quill(quill)
```

### 2. Parse Markdown into ParsedDocument ✓
The `ParsedDocument.from_markdown()` method parses Markdown with YAML frontmatter:

```python
parsed = ParsedDocument.from_markdown(markdown)
```

### 3. ParsedDocument.quill_tag Property ✓
The `ParsedDocument` exposes a `quill_tag()` method that returns the QUILL field value:

```python
quill_tag = parsed.quill_tag()  # Returns "my_quill" or None
```

### 4. Retrieve Quill Object with Properties ✓
The `Quill` class exposes all required properties:

```python
quill.name              # Quill name (str)
quill.backend           # Backend identifier (str, e.g., "typst")
quill.glue_template     # Template content (str)
quill.example           # Example markdown content (str or None)
quill.metadata          # Quill metadata (dict)
quill.field_schemas     # Field documentation (dict)
quill.supported_formats()  # Backend supported formats (list[OutputFormat])
```

The new `supported_formats()` method was added to provide consumers with information about what output formats the backend supports.

### 5. Render with Options and Get RenderResult ✓
The workflow API supports rendering with configurable options:

```python
# Create workflow (multiple options available)
workflow = engine.workflow_from_parsed(parsed)     # Infer from QUILL tag
workflow = engine.workflow_from_quill_name("name") # By name
workflow = engine.workflow_from_quill(quill)       # By object

# Render with options
result = workflow.render(parsed, OutputFormat.PDF)

# Access artifacts and diagnostics
for artifact in result.artifacts:
    artifact.output_format  # OutputFormat enum
    artifact.bytes          # bytes
    artifact.save("path")   # Save to file

for warning in result.warnings:
    warning.severity        # Severity enum
    warning.message         # str
```

## Implementation Details

### Changes Made

1. **Cargo.toml** - Enabled the `typst` feature for the quillmark dependency:
   ```toml
   quillmark = { workspace = true, features = ["typst"]}
   ```

2. **src/types.rs** - Added `supported_formats()` method to `PyQuill`:
   ```rust
   fn supported_formats(&self) -> PyResult<Vec<PyOutputFormat>> {
       // Returns supported formats based on backend
   }
   ```

3. **.gitignore** - Fixed to properly exclude venv/ directory

4. **README.md** - Completely rewrote with comprehensive API documentation

5. **tests/test_api_requirements.py** - Added comprehensive test suite validating all new requirements

6. **examples/workflow_demo.py** - Created complete workflow demonstration

7. **examples/basic.py** - Updated to use taro fixture and be runnable

8. **examples/batch.py** - Updated to use taro fixture and be runnable

### API Design Decisions

1. **Pythonic Interface**: All methods use Python conventions (snake_case, properties, exceptions)

2. **In-Memory by Default**: All operations work with in-memory data structures

3. **File Path Convenience**: `Quill.from_path()` provides a convenient way to load from filesystem

4. **Multiple Workflow Creation Methods**: Provides flexibility in how workflows are created:
   - From parsed document (inferred from QUILL tag)
   - From quill name (explicit)
   - From quill object (explicit)

5. **Error Handling**: Uses Python exceptions hierarchy:
   - `QuillmarkError` (base)
   - `ParseError` (YAML/frontmatter)
   - `TemplateError` (template rendering)
   - `CompilationError` (backend compilation)

### Test Coverage

All 18 tests pass, covering:
- Engine creation and backend registration
- Quill loading and property access
- ParsedDocument parsing and field access
- Workflow creation (all methods)
- End-to-end rendering
- Artifact saving
- Error handling
- New API requirements validation

## Non-Goals (Confirmed)

As specified, the following are explicitly NOT exposed:
- Low-level Workflow internals
- Backend implementation details
- Custom backend registration from Python
- Dynamic asset/font injection (not yet implemented in Python bindings)

## Usage Example

```python
from quillmark import Quillmark, Quill, ParsedDocument, OutputFormat

# Step 1: Load Quill
engine = Quillmark()
quill = Quill.from_path("path/to/quill")
engine.register_quill(quill)

# Step 2: Parse markdown
markdown = """---
QUILL: my_quill
title: Hello
---
# Content
"""
parsed = ParsedDocument.from_markdown(markdown)

# Step 3: Inspect Quill properties
print(f"Backend: {quill.backend}")
print(f"Supported formats: {quill.supported_formats()}")

# Step 4: Create workflow (inferred from QUILL tag)
workflow = engine.workflow_from_parsed(parsed)

# Step 5: Render and get results
result = workflow.render(parsed, OutputFormat.PDF)
result.artifacts[0].save("output.pdf")
```

## Compatibility

- Breaking changes are acceptable per requirements
- This is considered a rewrite of the Python API
- Maintains compatibility with existing Rust API design
- Python 3.10+ required (abi3 support)

## Breaking Changes (v0.4.1)

The following breaking changes were made to remove legacy code and ensure consistency:

1. **Removed unsupported builder methods** - The following methods have been removed from `Workflow`:
   - `with_asset()`, `with_assets()`, `clear_assets()`
   - `with_font()`, `with_fonts()`, `clear_fonts()`
   - `dynamic_asset_names()`, `dynamic_font_names()`
   
   These methods were never properly implemented and always threw errors. Dynamic assets/fonts are not yet supported in Python bindings.

2. **Removed redundant getter** - `RenderResult.output_format` has been removed. Use `artifact.output_format` on individual artifacts instead.

3. **Type stub corrections** - Fixed type declarations to match actual implementation:
   - `ParsedDocument.body()` now correctly returns `str | None` (was incorrectly documented as `str`)
   - Various getters now correctly declared as properties in type stubs

## Documentation

- README.md provides comprehensive API documentation
- Docstrings in test files explain API behavior
- Three working examples demonstrate different use cases
- All examples are runnable and use the taro fixture

## Conclusion

All requirements from the problem statement have been successfully implemented. The API provides opinionated visibility over the rendering workflow while maintaining a clean, Pythonic interface. The implementation follows the KISS principle and errs on the side of simplicity as requested.
