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README.md

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+# Module Lab: Building a Python Command-Line Interface Tool
+
+## Learning Goals
+
+- Build modular and user-friendly command-line applications using `argparse`.
+- Apply object-oriented programming (OOP) to map real-world objects to CLI commands.
+- Validate user input and provide helpful feedback.
+- Structure CLI tools for maintainability and scalability.
+
+## Introduction
+
+In this lab, you'll design and implement a Python Command-Line Interface (CLI) tool that models real-world behavior using OOP. You'll use Python's built-in `argparse` module to define commands, and object-oriented classes to manage task-related actions.
+
+The CLI tool will allow users to:
+
+- Add tasks to a user account via `add-task`
+- Mark tasks as complete via `complete-task`
+- Display feedback directly in the terminal
+
+This lab combines CLI architecture with OOP principles to help you build intuitive and testable developer tools.
+
+## Setup Instructions
+
+### Fork and Clone the Repository
+
+1. Go to the provided GitHub repository link.
+2. Fork the repository to your GitHub account.
+3. Clone the forked repository to your local machine using:
+
+```bash
+git clone <repo-url>
+cd module-lab-python-cli-tool
+```
+
+### Install Python and Dependencies
+
+Ensure Python is installed:
+
+```bash
+python --version
+```
+
+Optionally, create and activate a virtual environment:
+
+```bash
+python -m venv venv
+source venv/bin/activate  # macOS/Linux
+venv\Scripts\activate   # Windows
+```
+
+Install dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+---
+
+## Tasks
+
+### Task 1: Define the Problem
+
+Build a CLI tool that allows users to:
+
+- Add tasks to their name
+- Mark tasks as complete
+- See helpful feedback after actions
+
+The tool should simulate how users interact with a task manager, mapping commands to behavior using classes.
+
+---
+
+### Task 2: Determine the Design
+
+Your application will be split into:
+
+- A `Task` class to represent individual tasks
+- A `User` class to group tasks under a user's name
+- A CLI controller using `argparse` with `subparsers` to route actions
+
+This design keeps your logic modular, object-oriented, and easy to extend.
+
+---
+
+### Task 3: Develop the CLI Tool
+
+#### Step 1: Define Your Classes in `lib/models.py`
+
+```python
+class Task:
+    def __init__(self, title):
+        self.title = title
+        self.completed = False
+
+    def complete(self):
+        self.completed = True
+        print(f"✅ Task '{self.title}' completed.")
+
+class User:
+    def __init__(self, name):
+        self.name = name
+        self.tasks = []
+
+    def add_task(self, task):
+        self.tasks.append(task)
+        print(f"📌 Task '{task.title}' added to {self.name}.")
+```
+
+#### Step 2: Create the CLI in `lib/cli_tool.py`
+
+```python
+import argparse
+from lib.models import Task, User
+
+users = {}
+
+def add_task(args):
+    user = users.get(args.user) or User(args.user)
+    users[args.user] = user
+    task = Task(args.title)
+    user.add_task(task)
+
+def complete_task(args):
+    user = users.get(args.user)
+    if user:
+        for task in user.tasks:
+            if task.title == args.title:
+                task.complete()
+                return
+        print("❌ Task not found.")
+    else:
+        print("❌ User not found.")
+
+def main():
+    parser = argparse.ArgumentParser(description="Task Manager CLI")
+    subparsers = parser.add_subparsers()
+
+    add_parser = subparsers.add_parser("add-task", help="Add a new task")
+    add_parser.add_argument("user")
+    add_parser.add_argument("title")
+    add_parser.set_defaults(func=add_task)
+
+    complete_parser = subparsers.add_parser("complete-task", help="Complete a task")
+    complete_parser.add_argument("user")
+    complete_parser.add_argument("title")
+    complete_parser.set_defaults(func=complete_task)
+
+    args = parser.parse_args()
+    if hasattr(args, "func"):
+        args.func(args)
+    else:
+        parser.print_help()
+
+if __name__ == "__main__":
+    main()
+```
+
+---
+
+### Task 4: Run and Test the CLI Tool
+
+```bash
+# Add a task
+python lib/cli_tool.py add-task Alice "Write unit tests"
+
+# Complete a task
+python lib/cli_tool.py complete-task Alice "Write unit tests"
+```
+
+---
+
+## Best Practices
+
+- Use `argparse` to guide the user experience.
+- Validate input with helpful error messages.
+- Keep CLI and OOP logic modular and separated.
+- Document your script and commands clearly in the README.
+- Use the `__main__` guard to make your CLI script reusable.
+
+---
+
+## Conclusion
+
+After completing this lab, you will:
+
+✅ Build structured and modular CLI tools in Python  
+✅ Map real-world entities using object-oriented design  
+✅ Create terminal experiences with helpful input/output  
+✅ Apply argparse and OOP to real development workflows
+
+These skills help you build maintainable CLI tools that scale with complexity and support real-world use cases.