Self-contained, skip-friendly lab starting points (#103)
Co-authored-by: claude <claude@jpaul.io> Co-committed-by: claude <claude@jpaul.io>
This commit was merged in pull request #103.
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"""Core task logic for the demo app.
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Same running example as Modules 1 and 2, with one addition: `complete` now validates the
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index and raises a clear error for a bad one. That explicit edge-case handling is here on
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purpose; it's the kind of thing an AI "refactor" likes to quietly remove. This is the
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known-good base you'll review an AI change against in Module 10.
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"""
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from dataclasses import dataclass, field
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@dataclass
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class Task:
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title: str
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done: bool = False
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@dataclass
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class TaskList:
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tasks: list[Task] = field(default_factory=list)
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def add(self, title: str) -> Task:
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task = Task(title=title)
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self.tasks.append(task)
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return task
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def complete(self, index: int) -> None:
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if not 0 <= index < len(self.tasks):
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raise IndexError(f"no task at index {index}")
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self.tasks[index].done = True
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def pending(self) -> list[Task]:
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return [t for t in self.tasks if not t.done]
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def render(self) -> str:
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if not self.tasks:
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return "(no tasks yet)"
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lines = []
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for i, task in enumerate(self.tasks):
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box = "[x]" if task.done else "[ ]"
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lines.append(f"{i}. {box} {task.title}")
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return "\n".join(lines)
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