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A dataclass representing a section in compact format with an icon, title, content, and priority level.

Purpose

CompactSection is a data container class used to structure and organize information sections in a compact display format. It stores metadata about a section including its visual representation (icon), heading (title), body text (content), and importance level (priority). This class is typically used in UI rendering, report generation, or data presentation scenarios where content needs to be organized hierarchically with visual indicators.

Source Code

class CompactSection:
    """Represents a section in compact format"""
    icon: str
    title: str
    content: str
    priority: int = 1  # 1=high, 2=medium, 3=low

Parameters

Parameter Details

icon: A string representing the icon for the section, typically an emoji, Unicode character, or icon identifier that visually represents the section's content

title: A string containing the heading or name of the section, used as the primary identifier for the section's content

content: A string containing the main body text or data of the section, representing the detailed information to be displayed

priority: An integer indicating the importance level of the section (1=high priority, 2=medium priority, 3=low priority). Defaults to 1 (high priority). Used for sorting, filtering, or styling sections based on importance

Return Value

Instantiation returns a CompactSection object with the specified icon, title, content, and priority attributes. As a dataclass, it automatically generates __init__, __repr__, __eq__, and other special methods. The object can be used to access its attributes directly or passed to functions that process section data.

Class Interface

Methods

Attributes

Dependencies

• dataclasses

Required Imports

from dataclasses import dataclass

Usage Example

from dataclasses import dataclass

@dataclass
class CompactSection:
    icon: str
    title: str
    content: str
    priority: int = 1

# Create a high-priority section
section1 = CompactSection(
    icon='📊',
    title='Performance Metrics',
    content='CPU usage: 45%, Memory: 2.3GB',
    priority=1
)

# Create a medium-priority section with default priority
section2 = CompactSection(
    icon='⚙️',
    title='Configuration',
    content='Settings loaded successfully'
)

# Access attributes
print(section1.icon)  # '📊'
print(section1.title)  # 'Performance Metrics'
print(section1.priority)  # 1

# Sort sections by priority
sections = [section1, section2]
sorted_sections = sorted(sections, key=lambda s: s.priority)

Best Practices

• Use consistent icon formats across all CompactSection instances (e.g., all emojis or all icon identifiers)
• Keep priority values within the documented range (1-3) for consistency, though the class doesn't enforce this constraint
• Consider the priority value when displaying or processing sections - lower numbers indicate higher priority
• The content field should contain pre-formatted text if specific formatting is required, as the class doesn't handle formatting logic
• Since this is a dataclass, instances are mutable by default - be cautious when sharing instances across different parts of your application
• Use frozen=True in the @dataclass decorator if immutability is desired: @dataclass(frozen=True)
• The class provides automatic __eq__ comparison based on all fields, making it easy to compare sections for equality
• Consider creating factory methods or builder patterns if you need to construct CompactSection instances with complex validation or transformation logic

Tags

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