Add Checklist Component With Stats Columns

Hey there, tech enthusiasts and command-line aficionados! Today, we're diving into a cool new feature that's going to make managing your tasks and data right from your terminal a breeze. We're talking about the addition of a checklist component with stats columns, a versatile tool designed to bring clarity and interactivity to your command-line operations. Whether you're tracking project progress, managing a list of items with associated data, or simply need a more dynamic way to handle selections, this component is built to impress. Get ready to supercharge your workflow with this powerful enhancement!

Understanding the Checklist Component with Stats Columns

At its core, the checklist component with stats columns is designed to provide a visual and interactive way to manage lists directly within your terminal. Think of it as a smart, text-based interface for your tasks or data points. Each row in the checklist represents an item, complete with a checkbox that clearly indicates its status – whether it's completed, pending, or any other state you define. But it doesn't stop at just a simple to-do list. What makes this component truly stand out is its ability to support multiple data columns alongside the checkbox. This means you can associate additional, relevant information with each item, such as deadlines, durations, priorities, or any other metadata you deem important. This rich context transforms a basic list into a powerful data management tool, allowing you to see the bigger picture at a glance. The component is engineered to be highly flexible, accommodating a wide range of use cases, from intricate project management to simple interactive prompts.

Use Case Scenarios for Enhanced Productivity

The versatility of the checklist component with stats columns is where its real magic lies. Let's explore some practical scenarios where this feature can significantly boost your productivity and streamline your workflows.

First, imagine you're managing task lists with completion status and metadata. For instance, in software development, you might have a list of features to implement, each with a status (e.g., 'in progress', 'completed', 'blocked') and a time estimate or actual duration. The checklist component allows you to see all this information in one place, making it easy to prioritize, track progress, and identify bottlenecks. You can quickly scan the list, see what's done, what's pending, and how much effort has been invested.

Secondly, consider multi-select interfaces with additional info per row. In many command-line applications, you need to select one or more options from a list. Traditionally, this might involve typing numbers or cryptic codes. With this new component, you get a visual representation. Each option has a checkbox, and you can see supporting details like descriptions, costs, or availability. This makes the selection process more intuitive and less error-prone, especially when dealing with complex choices. You can toggle selections easily, and the associated data helps you make informed decisions.

Finally, think about interactive data tables with selection. For developers and data analysts, dealing with data in the terminal can often be cumbersome. This component can act as a lightweight, interactive data table. You can display rows of data, allow users to select specific entries (perhaps to process them further or extract information), and provide summary statistics. This is particularly useful for tasks like filtering data, choosing records for batch operations, or debugging by inspecting specific data points. The ability to interact directly with the data rows, combined with the visual cues of checkboxes and associated stats, makes data manipulation in the terminal far more efficient and user-friendly.

These examples highlight how the checklist component isn't just about listing items; it's about managing information effectively and making your command-line experience more interactive and insightful. The richness of context provided by the stats columns, combined with the clarity of the checkboxes, empowers users to interact with their data in a more meaningful way.

Example Usage and Expected Output

Let's get down to brass tacks and see how this checklist component with stats columns works in practice. The example usage provided showcases its straightforward yet powerful nature. We're using a hypothetical termgfx command-line tool here, but the principle applies to any system adopting this component.

Executing the Command

The command to generate our example checklist looks like this:

termgfx checklist --items "Task A:done:2h,Task B:pending:1h,Task C:done:3h" --columns "Status,Duration"

Let's break this down:

• termgfx checklist: This invokes the checklist functionality within the termgfx tool.
• --items "Task A:done:2h,Task B:pending:1h,Task C:done:3h": This is where we define our checklist items. Each item is a string, and within that string, different pieces of information are separated by colons (:). The first part is the item's description (e.g., "Task A"), followed by its status (e.g., "done"), and then any additional data like "2h" for duration. Multiple items are separated by commas (,).
• --columns "Status,Duration": This flag tells the component how to interpret the data following the status in our --items argument. Here, we've specified that the data represents "Status" and "Duration". The component will use this information to label and align the columns correctly.

Visualizing the Output

When you run the command above, the expected output is designed to be immediately understandable and informative:

☑ Task A     done     2h
☐ Task B     pending  1h  
☑ Task C     done     3h

Stats: 2/3 completed (67%)

Observe the key features of this output:

• Checkboxes: You'll notice the checkmarks (☑) indicating completed tasks and the empty boxes (☐) for pending ones. This provides an instant visual cue of the completion status.
• Task Descriptions: The primary description of each task ("Task A", "Task B", "Task C") is clearly displayed.
• Data Columns: The columns labeled "Status" and "Duration" (as defined by --columns) are populated with the corresponding data provided in the --items argument. The spacing is generally adjusted for readability, creating a neat table-like structure.
• Summary Statistics: Crucially, at the bottom, a summary stats section provides a quick overview of the entire list: "Stats: 2/3 completed (67%)". This tells you exactly how many items are done out of the total, along with the completion percentage. This aggregation is incredibly useful for getting a high-level understanding of progress without having to count manually.

This example effectively demonstrates how the checklist component with stats columns combines visual status indicators with contextual data and summary analytics, making it a powerful tool for managing information directly from the command line. The inclusion of interactive mode and JSON output (as mentioned in the acceptance criteria) further expands its utility for more complex workflows and scripting.

Technical Aspects and Acceptance Criteria

Delving into the technical requirements, the checklist component with stats columns is designed with specific functionalities to ensure its robustness and user-friendliness. These requirements are outlined in the acceptance criteria, which act as a blueprint for its development and a benchmark for its quality. Understanding these criteria helps appreciate the complexity and thoughtfulness put into this feature.

Core Functionalities and Implementation Details

Let's break down each acceptance criterion:

• [ ] Render checkboxes (☑/☐) based on status: This is the fundamental visual element. The component must be able to interpret a 'status' field for each item (e.g., 'done', 'pending', 'failed', 'in-progress') and translate it into the appropriate checkbox symbol. This requires mapping specific status strings to their corresponding Unicode characters for checked and unchecked boxes. The clarity of these symbols is paramount for quick visual scanning of the list.

• [ ] Support multiple data columns: Beyond the status, the component needs to be flexible enough to display additional data associated with each item. As seen in the example (`--columns