A Vue.js-like templating engine using Jinja2 for Python
Project description
Py Level Fleet
A powerful Vue.js-like templating engine for Python using Jinja2. This package provides a familiar Vue.js syntax while leveraging the robust features of Jinja2.
Features
- Vue.js-like template syntax with
p-directives - Full Jinja2 template engine capabilities
- Support for async rendering
- Sandboxed environment for security
- I18N support
- BeautifulSoup4 for HTML parsing
- Template caching for better performance
Installation
pip install py_level_fleet
Quick Start
from py_level_fleet import render_template
template = """
<div p-if="show">
<p p-text="message"></p>
</div>
<ul>
<li p-for="item in items" p-key="item.id">{{ item.name }}</li>
</ul>
"""
data = {
'show': True,
'message': 'Hello, World!',
'items': [{'id': 1, 'name': 'Item 1'}, {'id': 2, 'name': 'Item 2'}]
}
output = render_template(template, data)
print(output)
Available Directives
p-if: Conditional renderingp-else-if: Alternative conditionp-else: Fallback contentp-for: List renderingp-key: Unique key for list itemsp-bind: Dynamic attribute bindingp-text: Text content bindingp-html: HTML content bindingp-show: Conditional displayp-on: Event handlingp-model: Two-way data bindingp-pre: Skip compilationp-once: Render oncep-cloak: Hide until compiled
Advanced Usage
Async Rendering
from py_level_fleet import VueJinjaEngine
engine = VueJinjaEngine(enable_async=True)
output = await engine.render_template_async(template, data)
Sandboxed Environment
from py_level_fleet import VueJinjaEngine
engine = VueJinjaEngine(sandboxed=True)
output = engine.render_template(template, data)
I18N Support
from py_level_fleet import VueJinjaEngine
from babel.support import Translations
translations = Translations.load('locale', ['en'])
engine = VueJinjaEngine(i18n_translations=translations)
output = engine.render_template(template, data)
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Vishnu Prasad - GitHub
Acknowledgments
Project details
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