10 releases

0.1.9 Oct 9, 2024
0.1.8 Oct 9, 2024

#156 in Template engine

MIT license

32KB
698 lines

CrabTML: A Rust-based Template Engine

CrabTML is a lightweight and flexible template engine written in Rust. It provides a simple yet powerful way to render dynamic content in your applications.

[!WARNING]
This project is still in early development and is not recommended for production use.

Features

  • Variable interpolation
  • Conditional rendering
  • Loop constructs
  • Nested object access
  • File-based and string-based template loading
  • Easy-to-use API

Installation

Add this to your Cargo.toml:

[dependencies]
crabtml = "0.1.0"

Usage

Here's a quick example of how to use CrabTML:

use crabtml::{TemplateEngine, Value, Context};
use std::collections::HashMap;

fn main() {
    let mut engine = TemplateEngine::new();
    
    // Load a template from a string
    engine.add_template_from_string("example", "hello {{ text }}").unwrap();
    
    // Create a context
    let mut context = Context::new();
    context.set(
        "text",
        "darkness my old friend",
    );
    
    // Render the template
    let result = engine.render("example", &mut context).unwrap();
    println!("{}", result); // -> hello darkness my old friend


    // You can also create a context using the `context!` macro,
    // and objects using the `object!` macro
    use crabtml::{context, object};

    let mut context = context! {
        "text" => "darkness my old friend",
        "user" => object! {
            "name" => "trav",
            "age" => 35,
        },
    };
}

For more detailed examples, check the tests module in the source code.

Template Syntax

CrabTML supports the following syntax:

  • Variables: {{ variable_name }}
  • Conditionals: {% if condition %} ... {% else %} ... {% endif %}
  • Loops: {% for item in items %} ... {% endfor %}
  • Nested object access: {{ user.name }}

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.

Dependencies

~1.4–2.3MB
~48K SLoC