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Self-contained, skip-friendly lab starting points (#103)
Co-authored-by: claude <claude@jpaul.io>
Co-committed-by: claude <claude@jpaul.io>
2026-06-23 18:24:36 -04:00

43 lines
1.2 KiB
Python

"""Core task logic for the demo app.
Same running example as Modules 1 and 2, with one addition: `complete` now validates the
index and raises a clear error for a bad one. That explicit edge-case handling is here on
purpose; it's the kind of thing an AI "refactor" likes to quietly remove. This is the
known-good base you'll review an AI change against in Module 10.
"""
from dataclasses import dataclass, field
@dataclass
class Task:
title: str
done: bool = False
@dataclass
class TaskList:
tasks: list[Task] = field(default_factory=list)
def add(self, title: str) -> Task:
task = Task(title=title)
self.tasks.append(task)
return task
def complete(self, index: int) -> None:
if not 0 <= index < len(self.tasks):
raise IndexError(f"no task at index {index}")
self.tasks[index].done = True
def pending(self) -> list[Task]:
return [t for t in self.tasks if not t.done]
def render(self) -> str:
if not self.tasks:
return "(no tasks yet)"
lines = []
for i, task in enumerate(self.tasks):
box = "[x]" if task.done else "[ ]"
lines.append(f"{i}. {box} {task.title}")
return "\n".join(lines)