cognihub-pygotemplate 0.0.2

A Python wrapper for Go's text/template engine via CGo

cognihub_pygotemplate

A simple, high-performance Python wrapper for Go's native text/template engine.

中文文档

This library allows you to use Go templates (like those from Ollama) directly in your Python projects with 100% compatibility, by calling a compiled Go shared library via CGo and Python's ctypes.

Prerequisites

• Python 3.10+
• Go compiler (1.21+ recommended) installed and available in your system's PATH

Installation

From PyPI (Recommended)

pip install cognihub_pygotemplate

From Source

# Clone the repository
git clone https://github.com/hsz1273327/cognihub_pygotemplate.git
cd cognihub_pygotemplate

# Install the package
pip install .

The library will automatically compile the Go source code during installation.

Usage

from cognihub_pygotemplate import GoTemplateEngine

# Your Go template string
template_str = """
Hello, {{.Name}}!
{{if .Items}}You have {{len .Items}} items:
{{range .Items}}- {{.}}
{{end}}{{else}}You have no items.{{end}}
"""

# Data to render
data = {
    "Name": "World",
    "Items": ["apple", "banana", "cherry"]
}

try:
    # Create an engine instance
    engine = GoTemplateEngine(template_str)

    # Render the template
    output = engine.render(data)

    print(output)

except (RuntimeError, ValueError) as e:
    print(f"An error occurred: {e}")

Development Workflow

Full development cycle: Clean -> Build -> Type Check -> Test. Iterate until requirements are met, then package.

Clean

python setup.py clean

Build

python setup.py build_py

Type Check

# Use mypy for type checking
python setup.py type_check [--strict]

Test

# 运行所有测试
python setup.py test

# 或者执行单条测试
python -m unittest tests.test_engine.TestGoTemplateEngine.test_render
# 或者使用自定义测试运行器

Build Wheels

# For current platform
python setup.py bdist_wheel

Features

• 100% Go Template Compatibility: Uses Go's native text/template engine
• High Performance: Direct CGo bindings with minimal overhead
• Cross-Platform: Supports Windows, macOS (Intel & ARM64), and Linux
• Memory Safe: Proper memory management to prevent leaks
• Easy Integration: Simple Python API that feels native

Error Handling

The library provides clear error messages for common issues:

• JSON_ERROR: Invalid data format
• TEMPLATE_PARSE_ERROR: Template syntax errors
• TEMPLATE_EXECUTE_ERROR: Runtime template execution errors

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.