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Python library for building dynamic, structured text templates using a declarative, compose-based approach

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TextCompose

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TextCompose is a Python library for creating dynamic, structured text templates. Inspired by aiogram-dialog, it provides a flexible and intuitive interface for composing text.


🚀 Installation

You can install the library in two ways:

Using uv

If you are using the uv package manager, you can install it as follows:

uv add textcompose

Using pip

pip install textcompose

💻 Usage

Components Overview

TextCompose provides the following core components:

  1. Template: Combines and renders components as a structured text block.
  2. Group: Groups multiple components and joins their output with a separator (sep).
  3. Text: Displays static text.
  4. Format: Formats strings dynamically using a given context.

All components support the when parameter for conditional rendering. If when evaluates to True, the component is rendered; otherwise, it is skipped.

Example

Below is an example of how to use TextCompose to create dynamic text templates with nested components and conditional rendering.

from textcompose import Template
from textcompose.container import Group
from textcompose.content import Format, Text

# Create a template using nested components
template = Template(
    Group(
        Format("Hello, {name}!"),
        Format("Your status: {status}."),
        Group(
            Text("You have new notifications."),
            Format("Notification count: {notifications}.", when=lambda ctx: ctx.get("notifications") > 0),
            sep=" "  # Separator for the nested group
        ),
        sep="\n"  # Separator for the main group
    )
)

# Context for rendering
context = {
    "name": "John",
    "status": "Online",
    "notifications": 3
}

# Render text
result = template.render(context)
print(result)

Output:

Hello, John!
Your status: Online.
You have new notifications. Notification count: 3.

👨‍💻 Contributing

We welcome contributions to TextCompose. If you have suggestions or improvements, please open an issue or submit a pull request.

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Python library for building dynamic, structured text templates using a declarative, compose-based approach

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