mirror of
https://github.com/eyaltoledano/claude-task-master.git
synced 2025-07-04 23:50:50 +00:00

Modified add-task core, direct function, and tool to pass projectRoot for .env API key fallback. Fixed logFn reference error and removed deprecated reportProgress call in core addTask function. Verified working.
386 lines
13 KiB
JavaScript
386 lines
13 KiB
JavaScript
import path from 'path';
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import chalk from 'chalk';
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import boxen from 'boxen';
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import Table from 'cli-table3';
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import { z } from 'zod';
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import {
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displayBanner,
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getStatusWithColor,
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startLoadingIndicator,
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stopLoadingIndicator
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} from '../ui.js';
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import { readJSON, writeJSON, log as consoleLog, truncate } from '../utils.js';
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import { generateObjectService } from '../ai-services-unified.js';
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import { getDefaultPriority } from '../config-manager.js';
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import generateTaskFiles from './generate-task-files.js';
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// Define Zod schema for the expected AI output object
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const AiTaskDataSchema = z.object({
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title: z.string().describe('Clear, concise title for the task'),
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description: z
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.string()
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.describe('A one or two sentence description of the task'),
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details: z
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.string()
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.describe('In-depth implementation details, considerations, and guidance'),
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testStrategy: z
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.string()
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.describe('Detailed approach for verifying task completion')
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});
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/**
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* Add a new task using AI
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* @param {string} tasksPath - Path to the tasks.json file
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* @param {string} prompt - Description of the task to add (required for AI-driven creation)
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* @param {Array} dependencies - Task dependencies
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* @param {string} priority - Task priority
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* @param {function} reportProgress - Function to report progress to MCP server (optional)
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* @param {Object} mcpLog - MCP logger object (optional)
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* @param {Object} session - Session object from MCP server (optional)
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* @param {string} outputFormat - Output format (text or json)
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* @param {Object} customEnv - Custom environment variables (optional) - Note: AI params override deprecated
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* @param {Object} manualTaskData - Manual task data (optional, for direct task creation without AI)
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* @param {boolean} useResearch - Whether to use the research model (passed to unified service)
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* @param {Object} context - Context object containing session and potentially projectRoot
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* @param {string} [context.projectRoot] - Project root path (for MCP/env fallback)
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* @returns {number} The new task ID
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*/
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async function addTask(
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tasksPath,
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prompt,
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dependencies = [],
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priority = null,
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context = {},
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outputFormat = 'text', // Default to text for CLI
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manualTaskData = null,
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useResearch = false
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) {
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const { session, mcpLog, projectRoot } = context;
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const isMCP = !!mcpLog;
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// Create a consistent logFn object regardless of context
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const logFn = isMCP
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? mcpLog // Use MCP logger if provided
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: {
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// Create a wrapper around consoleLog for CLI
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info: (...args) => consoleLog('info', ...args),
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warn: (...args) => consoleLog('warn', ...args),
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error: (...args) => consoleLog('error', ...args),
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debug: (...args) => consoleLog('debug', ...args),
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success: (...args) => consoleLog('success', ...args)
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};
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const effectivePriority = priority || getDefaultPriority(projectRoot);
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logFn.info(
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`Adding new task with prompt: "${prompt}", Priority: ${effectivePriority}, Dependencies: ${dependencies.join(', ') || 'None'}, Research: ${useResearch}, ProjectRoot: ${projectRoot}`
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);
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let loadingIndicator = null;
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// Create custom reporter that checks for MCP log
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const report = (message, level = 'info') => {
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if (mcpLog) {
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mcpLog[level](message);
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} else if (outputFormat === 'text') {
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consoleLog(level, message);
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}
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};
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try {
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// Only display banner and UI elements for text output (CLI)
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if (outputFormat === 'text') {
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displayBanner();
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console.log(
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boxen(chalk.white.bold(`Creating New Task`), {
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padding: 1,
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borderColor: 'blue',
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borderStyle: 'round',
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margin: { top: 1, bottom: 1 }
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})
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);
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}
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// Read the existing tasks
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const data = readJSON(tasksPath);
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if (!data || !data.tasks) {
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report('Invalid or missing tasks.json.', 'error');
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throw new Error('Invalid or missing tasks.json.');
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}
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// Find the highest task ID to determine the next ID
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const highestId =
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data.tasks.length > 0 ? Math.max(...data.tasks.map((t) => t.id)) : 0;
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const newTaskId = highestId + 1;
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// Only show UI box for CLI mode
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if (outputFormat === 'text') {
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console.log(
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boxen(chalk.white.bold(`Creating New Task #${newTaskId}`), {
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padding: 1,
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borderColor: 'blue',
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borderStyle: 'round',
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margin: { top: 1, bottom: 1 }
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})
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);
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}
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// Validate dependencies before proceeding
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const invalidDeps = dependencies.filter((depId) => {
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// Ensure depId is parsed as a number for comparison
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const numDepId = parseInt(depId, 10);
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return isNaN(numDepId) || !data.tasks.some((t) => t.id === numDepId);
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});
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if (invalidDeps.length > 0) {
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report(
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`The following dependencies do not exist or are invalid: ${invalidDeps.join(', ')}`,
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'warn'
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);
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report('Removing invalid dependencies...', 'info');
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dependencies = dependencies.filter(
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(depId) => !invalidDeps.includes(depId)
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);
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}
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// Ensure dependencies are numbers
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const numericDependencies = dependencies.map((dep) => parseInt(dep, 10));
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let taskData;
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// Check if manual task data is provided
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if (manualTaskData) {
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report('Using manually provided task data', 'info');
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taskData = manualTaskData;
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report('DEBUG: Taking MANUAL task data path.', 'debug');
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// Basic validation for manual data
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if (
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!taskData.title ||
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typeof taskData.title !== 'string' ||
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!taskData.description ||
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typeof taskData.description !== 'string'
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) {
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throw new Error(
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'Manual task data must include at least a title and description.'
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);
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}
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} else {
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report('DEBUG: Taking AI task generation path.', 'debug');
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// --- Refactored AI Interaction ---
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report('Generating task data with AI...', 'info');
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// Create context string for task creation prompt
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let contextTasks = '';
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if (numericDependencies.length > 0) {
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const dependentTasks = data.tasks.filter((t) =>
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numericDependencies.includes(t.id)
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);
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contextTasks = `\nThis task depends on the following tasks:\n${dependentTasks
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.map((t) => `- Task ${t.id}: ${t.title} - ${t.description}`)
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.join('\n')}`;
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} else {
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const recentTasks = [...data.tasks]
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.sort((a, b) => b.id - a.id)
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.slice(0, 3);
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if (recentTasks.length > 0) {
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contextTasks = `\nRecent tasks in the project:\n${recentTasks
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.map((t) => `- Task ${t.id}: ${t.title} - ${t.description}`)
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.join('\n')}`;
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}
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}
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// System Prompt
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const systemPrompt =
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"You are a helpful assistant that creates well-structured tasks for a software development project. Generate a single new task based on the user's description, adhering strictly to the provided JSON schema.";
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// Task Structure Description (for user prompt)
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const taskStructureDesc = `
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{
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"title": "Task title goes here",
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"description": "A concise one or two sentence description of what the task involves",
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"details": "In-depth implementation details, considerations, and guidance.",
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"testStrategy": "Detailed approach for verifying task completion."
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}`;
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// Add any manually provided details to the prompt for context
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let contextFromArgs = '';
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if (manualTaskData?.title)
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contextFromArgs += `\n- Suggested Title: "${manualTaskData.title}"`;
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if (manualTaskData?.description)
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contextFromArgs += `\n- Suggested Description: "${manualTaskData.description}"`;
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if (manualTaskData?.details)
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contextFromArgs += `\n- Additional Details Context: "${manualTaskData.details}"`;
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if (manualTaskData?.testStrategy)
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contextFromArgs += `\n- Additional Test Strategy Context: "${manualTaskData.testStrategy}"`;
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// User Prompt
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const userPrompt = `Create a comprehensive new task (Task #${newTaskId}) for a software development project based on this description: "${prompt}"
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${contextTasks}
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${contextFromArgs ? `\nConsider these additional details provided by the user:${contextFromArgs}` : ''}
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Return your answer as a single JSON object matching the schema precisely:
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${taskStructureDesc}
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Make sure the details and test strategy are thorough and specific.`;
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// Start the loading indicator - only for text mode
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if (outputFormat === 'text') {
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loadingIndicator = startLoadingIndicator(
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`Generating new task with ${useResearch ? 'Research' : 'Main'} AI...`
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);
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}
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try {
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// Determine the service role based on the useResearch flag
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const serviceRole = useResearch ? 'research' : 'main';
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report('DEBUG: Calling generateObjectService...', 'debug');
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// Call the unified AI service
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const aiGeneratedTaskData = await generateObjectService({
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role: serviceRole, // <-- Use the determined role
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session: session, // Pass session for API key resolution
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projectRoot: projectRoot, // <<< Pass projectRoot here
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schema: AiTaskDataSchema, // Pass the Zod schema
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objectName: 'newTaskData', // Name for the object
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systemPrompt: systemPrompt,
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prompt: userPrompt
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});
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report('DEBUG: generateObjectService returned successfully.', 'debug');
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report('Successfully generated task data from AI.', 'success');
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taskData = aiGeneratedTaskData; // Assign the validated object
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} catch (error) {
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report(
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`DEBUG: generateObjectService caught error: ${error.message}`,
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'debug'
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);
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report(`Error generating task with AI: ${error.message}`, 'error');
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if (loadingIndicator) stopLoadingIndicator(loadingIndicator);
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throw error; // Re-throw error after logging
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} finally {
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report('DEBUG: generateObjectService finally block reached.', 'debug');
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if (loadingIndicator) stopLoadingIndicator(loadingIndicator); // Ensure indicator stops
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}
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// --- End Refactored AI Interaction ---
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}
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// Create the new task object
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const newTask = {
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id: newTaskId,
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title: taskData.title,
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description: taskData.description,
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details: taskData.details || '',
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testStrategy: taskData.testStrategy || '',
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status: 'pending',
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dependencies: numericDependencies, // Use validated numeric dependencies
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priority: effectivePriority,
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subtasks: [] // Initialize with empty subtasks array
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};
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// Add the task to the tasks array
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data.tasks.push(newTask);
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report('DEBUG: Writing tasks.json...', 'debug');
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// Write the updated tasks to the file
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writeJSON(tasksPath, data);
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report('DEBUG: tasks.json written.', 'debug');
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// Generate markdown task files
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report('Generating task files...', 'info');
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report('DEBUG: Calling generateTaskFiles...', 'debug');
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// Pass mcpLog if available to generateTaskFiles
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await generateTaskFiles(tasksPath, path.dirname(tasksPath), { mcpLog });
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report('DEBUG: generateTaskFiles finished.', 'debug');
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// Show success message - only for text output (CLI)
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if (outputFormat === 'text') {
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const table = new Table({
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head: [
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chalk.cyan.bold('ID'),
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chalk.cyan.bold('Title'),
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chalk.cyan.bold('Description')
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],
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colWidths: [5, 30, 50] // Adjust widths as needed
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});
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table.push([
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newTask.id,
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truncate(newTask.title, 27),
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truncate(newTask.description, 47)
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]);
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console.log(chalk.green('✅ New task created successfully:'));
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console.log(table.toString());
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// Helper to get priority color
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const getPriorityColor = (p) => {
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switch (p?.toLowerCase()) {
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case 'high':
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return 'red';
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case 'low':
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return 'gray';
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case 'medium':
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default:
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return 'yellow';
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}
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};
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// Show success message box
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console.log(
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boxen(
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chalk.white.bold(`Task ${newTaskId} Created Successfully`) +
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'\n\n' +
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chalk.white(`Title: ${newTask.title}`) +
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'\n' +
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chalk.white(`Status: ${getStatusWithColor(newTask.status)}`) +
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'\n' +
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chalk.white(
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`Priority: ${chalk[getPriorityColor(newTask.priority)](newTask.priority)}`
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) +
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'\n' +
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(numericDependencies.length > 0
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? chalk.white(`Dependencies: ${numericDependencies.join(', ')}`) +
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'\n'
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: '') +
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'\n' +
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chalk.white.bold('Next Steps:') +
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'\n' +
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chalk.cyan(
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`1. Run ${chalk.yellow(`task-master show ${newTaskId}`)} to see complete task details`
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) +
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'\n' +
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chalk.cyan(
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`2. Run ${chalk.yellow(`task-master set-status --id=${newTaskId} --status=in-progress`)} to start working on it`
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) +
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'\n' +
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chalk.cyan(
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`3. Run ${chalk.yellow(`task-master expand --id=${newTaskId}`)} to break it down into subtasks`
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),
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{ padding: 1, borderColor: 'green', borderStyle: 'round' }
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)
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);
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}
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// Return the new task ID
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report(`DEBUG: Returning new task ID: ${newTaskId}`, 'debug');
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return newTaskId;
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} catch (error) {
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// Stop any loading indicator on error
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if (loadingIndicator) {
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stopLoadingIndicator(loadingIndicator);
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}
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report(`Error adding task: ${error.message}`, 'error');
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if (outputFormat === 'text') {
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console.error(chalk.red(`Error: ${error.message}`));
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}
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// In MCP mode, we let the direct function handler catch and format
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throw error;
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}
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}
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export default addTask;
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