Files
TinyTorch/tinytorch/cli/tools/py_to_notebook.py
Vijay Janapa Reddi 05379c8570 Refactor CLI to senior software engineer standards
BREAKING CHANGE: Major architectural refactoring of CLI system

New Professional Architecture:
- Clean separation of concerns with proper package structure
- Command pattern implementation with base classes
- Centralized configuration management
- Proper exception hierarchy and error handling
- Logging framework integration
- Type hints throughout
- Dependency injection pattern

Structure:
tinytorch/cli/
├── __init__.py              # Package initialization
├── main.py                  # Professional CLI entry point
├── core/                    # Core CLI functionality
│   ├── __init__.py
│   ├── config.py           # Configuration management
│   ├── console.py          # Centralized console output
│   └── exceptions.py       # Exception hierarchy
├── commands/               # Command implementations
│   ├── __init__.py
│   ├── base.py            # Base command class
│   └── notebooks.py       # Notebooks command
└── tools/                 # CLI tools
    ├── __init__.py
    └── py_to_notebook.py  # Conversion tool

Features Added:
- Proper entry points in pyproject.toml
- Professional logging with file output
- Environment validation with detailed error messages
- Dry-run mode for notebooks command
- Force rebuild option
- Timeout protection for subprocess calls
- Backward compatibility wrapper (bin/tito)
- Extensible command registration system

Benefits:
- Maintainable: Single responsibility per module
- Testable: Clean interfaces and dependency injection
- Extensible: Easy to add new commands
- Professional: Industry-standard patterns
- Robust: Proper error handling and validation
- Installable: Proper package structure with entry points
2025-07-10 22:05:10 -04:00

122 lines
3.7 KiB
Python
Executable File

#!/usr/bin/env python3
"""
Convert Python files with cell markers to Jupyter notebooks.
Usage:
python3 bin/py_to_notebook.py modules/tensor/tensor_dev.py
python3 bin/py_to_notebook.py modules/tensor/tensor_dev.py --output custom_name.ipynb
"""
import argparse
import json
import re
import sys
from pathlib import Path
def convert_py_to_notebook(py_file: Path, output_file: Path = None):
"""Convert Python file with cell markers to notebook."""
if not py_file.exists():
print(f"❌ File not found: {py_file}")
return False
# Read the Python file
with open(py_file, 'r') as f:
content = f.read()
# Split into cells based on # %% markers
cells = re.split(r'^# %%.*$', content, flags=re.MULTILINE)
cells = [cell.strip() for cell in cells if cell.strip()]
# Create notebook structure
notebook = {
'cells': [],
'metadata': {
'kernelspec': {
'display_name': 'Python 3',
'language': 'python',
'name': 'python3'
},
'language_info': {
'name': 'python',
'version': '3.8.0'
}
},
'nbformat': 4,
'nbformat_minor': 4
}
for i, cell_content in enumerate(cells):
if not cell_content:
continue
# Check if this is a markdown cell
if cell_content.startswith('# ') and '\n' in cell_content:
lines = cell_content.split('\n')
if lines[0].startswith('# ') and not any(line.strip() and not line.startswith('#') for line in lines[:5]):
# This looks like a markdown cell
cell = {
'cell_type': 'markdown',
'metadata': {},
'source': []
}
for line in lines:
if line.startswith('# '):
cell['source'].append(line[2:] + '\n')
elif line.startswith('#'):
cell['source'].append(line[1:] + '\n')
elif line.strip() == '':
cell['source'].append('\n')
notebook['cells'].append(cell)
continue
# Code cell
cell = {
'cell_type': 'code',
'execution_count': None,
'metadata': {},
'outputs': [],
'source': []
}
for line in cell_content.split('\n'):
cell['source'].append(line + '\n')
# Remove trailing newline from last line
if cell['source'] and cell['source'][-1].endswith('\n'):
cell['source'][-1] = cell['source'][-1][:-1]
notebook['cells'].append(cell)
# Determine output file
if output_file is None:
output_file = py_file.with_suffix('.ipynb')
# Write notebook
output_file.parent.mkdir(parents=True, exist_ok=True)
with open(output_file, 'w') as f:
json.dump(notebook, f, indent=2)
print(f"✅ Converted {py_file}{output_file}")
return True
def main():
parser = argparse.ArgumentParser(description="Convert Python files to Jupyter notebooks")
parser.add_argument('input_file', type=Path, help='Input Python file')
parser.add_argument('--output', '-o', type=Path, help='Output notebook file')
parser.add_argument('--verbose', '-v', action='store_true', help='Verbose output')
args = parser.parse_args()
success = convert_py_to_notebook(args.input_file, args.output)
if not success:
sys.exit(1)
if args.verbose:
print("🎉 Conversion complete!")
if __name__ == "__main__":
main()