mcp-shrimp-task-manager/dist/tools/task/listTasks.js

Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like develope

import { z } from "zod";
import { getAllTasks } from "../../models/taskModel.js";
import { TaskStatus } from "../../types/index.js";
import { getListTasksPrompt } from "../../prompts/index.js";
export const listTasksSchema = z.object({
    status: z
        .enum(["all", "pending", "in_progress", "completed"])
        .describe("要列出的任務狀態，可選擇 'all' 列出所有任務，或指定具體狀態"),
});
// 列出任務工具
export async function listTasks({ status }) {
    const tasks = await getAllTasks();
    let filteredTasks = tasks;
    switch (status) {
        case "all":
            break;
        case "pending":
            filteredTasks = tasks.filter((task) => task.status === TaskStatus.PENDING);
            break;
        case "in_progress":
            filteredTasks = tasks.filter((task) => task.status === TaskStatus.IN_PROGRESS);
            break;
        case "completed":
            filteredTasks = tasks.filter((task) => task.status === TaskStatus.COMPLETED);
            break;
    }
    if (filteredTasks.length === 0) {
        return {
            content: [
                {
                    type: "text",
                    text: `## 系統通知\n\n目前系統中沒有${status === "all" ? "任何" : `任何 ${status} 的`}任務。請查詢其他狀態任務或先使用「split_tasks」工具創建任務結構，再進行後續操作。`,
                },
            ],
        };
    }
    const tasksByStatus = tasks.reduce((acc, task) => {
        if (!acc[task.status]) {
            acc[task.status] = [];
        }
        acc[task.status].push(task);
        return acc;
    }, {});
    // 使用prompt生成器獲取最終prompt
    const prompt = await getListTasksPrompt({
        status,
        tasks: tasksByStatus,
        allTasks: filteredTasks,
    });
    return {
        content: [
            {
                type: "text",
                text: prompt,
            },
        ],
    };
}
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