feat: Task Management API with comprehensive test suite

[divyareddie0612]

Summary

This PR implements a Task Management API following the spec-driven development approach. Built using Claude AI as the code generation tool.

What was built

Backend-only application using FastAPI with:

• Full CRUD operations for tasks (Create, Read, Update, Delete)
• Task filtering by status (pending, in_progress, completed) and priority (low, medium, high)
• Search functionality by title or description
• In-memory storage with optional JSON file persistence
• Input validation using Pydantic models
• Proper HTTP status codes and error responses

Test Coverage

• 61 comprehensive tests with 92% code coverage
• Unit tests for Pydantic model validation
• Integration tests for all API endpoints
• Edge case testing (special characters, unicode, boundary values)
• Error scenario testing (404, 422 responses)

Spec-First Workflow

Following the RULES.md requirements:

1. Created feature specs before any implementation
2. All acceptance criteria documented in SPECS/
3. Updated TODO.md as features were completed

Code Generation Tools Used

• Claude AI (Anthropic) - Primary code generation tool
• Used for: API design, model creation, test writing, documentation

How to Run

# Install dependencies
pip install -r requirements.txt

# Run the application
uvicorn app.main:app --reload

# Run tests
pytest -v

# Run tests with coverage
pytest --cov=app --cov-report=term-missing

Files Added

• app/ - FastAPI application source code
• tests/ - Comprehensive test suite
• SPECS/ - Feature specifications (task-management-api.md, testing-framework.md, project-setup.md)
• SETUP.md - Setup and run instructions
• requirements.txt - Python dependencies