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ai-workflow-course/modules/13-testing-in-the-ai-era/lab/tasks-app/tasks.py
T
claude 2684095e2f Build out all 27 modules + capstone (#1)
Co-authored-by: claude <claude@jpaul.io>
Co-committed-by: claude <claude@jpaul.io>
2026-06-22 12:19:01 -04:00

44 lines
1.2 KiB
Python

"""Core task logic for the demo app.
Same running example from Modules 1 and 2, carried forward. It has grown one feature since then:
a `pending_count()` helper that the AI added to back a `count` command. The feature "works" in
the obvious case — which is exactly the kind of code this module teaches you to verify properly.
"""
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:
self.tasks[index].done = True
def pending(self) -> list[Task]:
return [t for t in self.tasks if not t.done]
def pending_count(self) -> int:
# Added by the AI to support `cli.py count`. Looks right, ran fine in a quick check.
return len(self.tasks)
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)