mirror of
https://github.com/eyaltoledano/claude-task-master.git
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2d520de269
* fix(add-task): fixes an isse in which stdout leaks out of add-task causing the mcp server to crash if used. * chore: add changeset --------- Co-authored-by: Ralph Khreish <35776126+Crunchyman-ralph@users.noreply.github.com>
1209 lines
40 KiB
JavaScript
1209 lines
40 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 Fuse from 'fuse.js'; // Import Fuse.js for advanced fuzzy search
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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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displayAiUsageSummary
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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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dependencies: z
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.array(z.number())
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.optional()
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.describe(
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'Array of task IDs that this task depends on (must be completed before this task can start)'
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)
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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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* @param {string} [context.commandName] - The name of the command being executed (for telemetry)
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* @param {string} [context.outputType] - The output type ('cli' or 'mcp', for telemetry)
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* @returns {Promise<object>} An object containing newTaskId and telemetryData
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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, commandName, outputType } = 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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let aiServiceResponse = null; // To store the full response from AI service
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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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/**
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* Recursively builds a dependency graph for a given task
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* @param {Array} tasks - All tasks from tasks.json
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* @param {number} taskId - ID of the task to analyze
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* @param {Set} visited - Set of already visited task IDs
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* @param {Map} depthMap - Map of task ID to its depth in the graph
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* @param {number} depth - Current depth in the recursion
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* @return {Object} Dependency graph data
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*/
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function buildDependencyGraph(
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tasks,
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taskId,
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visited = new Set(),
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depthMap = new Map(),
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depth = 0
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) {
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// Skip if we've already visited this task or it doesn't exist
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if (visited.has(taskId)) {
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return null;
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}
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// Find the task
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const task = tasks.find((t) => t.id === taskId);
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if (!task) {
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return null;
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}
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// Mark as visited
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visited.add(taskId);
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// Update depth if this is a deeper path to this task
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if (!depthMap.has(taskId) || depth < depthMap.get(taskId)) {
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depthMap.set(taskId, depth);
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}
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// Process dependencies
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const dependencyData = [];
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if (task.dependencies && task.dependencies.length > 0) {
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for (const depId of task.dependencies) {
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const depData = buildDependencyGraph(
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tasks,
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depId,
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visited,
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depthMap,
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depth + 1
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);
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if (depData) {
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dependencyData.push(depData);
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}
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}
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}
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return {
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id: task.id,
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title: task.title,
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description: task.description,
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status: task.status,
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dependencies: dependencyData
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};
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}
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try {
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// Read the existing tasks
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let data = readJSON(tasksPath);
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// If tasks.json doesn't exist or is invalid, create a new one
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if (!data || !data.tasks) {
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report('tasks.json not found or invalid. Creating a new one.', 'info');
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// Create default tasks data structure
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data = {
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tasks: []
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};
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// Ensure the directory exists and write the new file
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writeJSON(tasksPath, data);
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report('Created new tasks.json file with empty tasks array.', 'info');
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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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// Build dependency graphs for explicitly specified dependencies
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const dependencyGraphs = [];
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const allRelatedTaskIds = new Set();
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const depthMap = new Map();
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// First pass: build a complete dependency graph for each specified dependency
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for (const depId of numericDependencies) {
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const graph = buildDependencyGraph(
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data.tasks,
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depId,
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new Set(),
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depthMap
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);
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if (graph) {
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dependencyGraphs.push(graph);
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}
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}
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// Second pass: build a set of all related task IDs for flat analysis
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for (const [taskId, depth] of depthMap.entries()) {
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allRelatedTaskIds.add(taskId);
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}
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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 with prompt:\n${prompt}`, 'info');
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// Create context string for task creation prompt
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let contextTasks = '';
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// Create a dependency map for better understanding of the task relationships
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const taskMap = {};
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data.tasks.forEach((t) => {
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// For each task, only include id, title, description, and dependencies
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taskMap[t.id] = {
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id: t.id,
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title: t.title,
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description: t.description,
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dependencies: t.dependencies || [],
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status: t.status
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};
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});
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// CLI-only feedback for the dependency analysis
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if (outputFormat === 'text') {
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console.log(
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boxen(chalk.cyan.bold('Task Context Analysis') + '\n', {
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padding: { top: 0, bottom: 0, left: 1, right: 1 },
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margin: { top: 0, bottom: 0 },
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borderColor: 'cyan',
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borderStyle: 'round'
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})
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);
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}
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// Initialize variables that will be used in either branch
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let uniqueDetailedTasks = [];
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let dependentTasks = [];
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let promptCategory = null;
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if (numericDependencies.length > 0) {
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// If specific dependencies were provided, focus on them
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// Get all tasks that were found in the dependency graph
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dependentTasks = Array.from(allRelatedTaskIds)
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.map((id) => data.tasks.find((t) => t.id === id))
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.filter(Boolean);
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// Sort by depth in the dependency chain
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dependentTasks.sort((a, b) => {
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const depthA = depthMap.get(a.id) || 0;
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const depthB = depthMap.get(b.id) || 0;
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return depthA - depthB; // Lowest depth (root dependencies) first
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});
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// Limit the number of detailed tasks to avoid context explosion
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uniqueDetailedTasks = dependentTasks.slice(0, 8);
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contextTasks = `\nThis task relates to a dependency structure with ${dependentTasks.length} related tasks in the chain.\n\nDirect dependencies:`;
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const directDeps = data.tasks.filter((t) =>
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numericDependencies.includes(t.id)
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);
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contextTasks += `\n${directDeps.map((t) => `- Task ${t.id}: ${t.title} - ${t.description}`).join('\n')}`;
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// Add an overview of indirect dependencies if present
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const indirectDeps = dependentTasks.filter(
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(t) => !numericDependencies.includes(t.id)
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);
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if (indirectDeps.length > 0) {
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contextTasks += `\n\nIndirect dependencies (dependencies of dependencies):`;
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contextTasks += `\n${indirectDeps
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.slice(0, 5)
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.map((t) => `- Task ${t.id}: ${t.title} - ${t.description}`)
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.join('\n')}`;
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if (indirectDeps.length > 5) {
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contextTasks += `\n- ... and ${indirectDeps.length - 5} more indirect dependencies`;
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}
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}
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// Add more details about each dependency, prioritizing direct dependencies
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contextTasks += `\n\nDetailed information about dependencies:`;
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for (const depTask of uniqueDetailedTasks) {
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const depthInfo = depthMap.get(depTask.id)
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? ` (depth: ${depthMap.get(depTask.id)})`
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: '';
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const isDirect = numericDependencies.includes(depTask.id)
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? ' [DIRECT DEPENDENCY]'
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: '';
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contextTasks += `\n\n------ Task ${depTask.id}${isDirect}${depthInfo}: ${depTask.title} ------\n`;
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contextTasks += `Description: ${depTask.description}\n`;
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contextTasks += `Status: ${depTask.status || 'pending'}\n`;
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contextTasks += `Priority: ${depTask.priority || 'medium'}\n`;
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// List its dependencies
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if (depTask.dependencies && depTask.dependencies.length > 0) {
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const depDeps = depTask.dependencies.map((dId) => {
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const depDepTask = data.tasks.find((t) => t.id === dId);
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return depDepTask
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? `Task ${dId}: ${depDepTask.title}`
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: `Task ${dId}`;
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});
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contextTasks += `Dependencies: ${depDeps.join(', ')}\n`;
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} else {
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contextTasks += `Dependencies: None\n`;
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}
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// Add implementation details but truncate if too long
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if (depTask.details) {
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const truncatedDetails =
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depTask.details.length > 400
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? depTask.details.substring(0, 400) + '... (truncated)'
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: depTask.details;
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contextTasks += `Implementation Details: ${truncatedDetails}\n`;
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}
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}
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// Add dependency chain visualization
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if (dependencyGraphs.length > 0) {
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contextTasks += '\n\nDependency Chain Visualization:';
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// Helper function to format dependency chain as text
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function formatDependencyChain(
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node,
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prefix = '',
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isLast = true,
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depth = 0
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) {
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if (depth > 3) return ''; // Limit depth to avoid excessive nesting
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const connector = isLast ? '└── ' : '├── ';
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const childPrefix = isLast ? ' ' : '│ ';
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let result = `\n${prefix}${connector}Task ${node.id}: ${node.title}`;
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if (node.dependencies && node.dependencies.length > 0) {
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for (let i = 0; i < node.dependencies.length; i++) {
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const isLastChild = i === node.dependencies.length - 1;
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result += formatDependencyChain(
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node.dependencies[i],
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prefix + childPrefix,
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isLastChild,
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depth + 1
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);
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}
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}
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return result;
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}
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// Format each dependency graph
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for (const graph of dependencyGraphs) {
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contextTasks += formatDependencyChain(graph);
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}
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}
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// Show dependency analysis in CLI mode
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if (outputFormat === 'text') {
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if (directDeps.length > 0) {
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console.log(chalk.gray(` Explicitly specified dependencies:`));
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directDeps.forEach((t) => {
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console.log(
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chalk.yellow(` • Task ${t.id}: ${truncate(t.title, 50)}`)
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);
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});
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}
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if (indirectDeps.length > 0) {
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console.log(
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chalk.gray(
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`\n Indirect dependencies (${indirectDeps.length} total):`
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)
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);
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indirectDeps.slice(0, 3).forEach((t) => {
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const depth = depthMap.get(t.id) || 0;
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console.log(
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chalk.cyan(
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` • Task ${t.id} [depth ${depth}]: ${truncate(t.title, 45)}`
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)
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);
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});
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if (indirectDeps.length > 3) {
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console.log(
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chalk.cyan(
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` • ... and ${indirectDeps.length - 3} more indirect dependencies`
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)
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);
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}
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}
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|
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// Visualize the dependency chain
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if (dependencyGraphs.length > 0) {
|
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console.log(chalk.gray(`\n Dependency chain visualization:`));
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|
|
|
// Convert dependency graph to ASCII art for terminal
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|
function visualizeDependencyGraph(
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node,
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prefix = '',
|
|
isLast = true,
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|
depth = 0
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) {
|
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if (depth > 2) return; // Limit depth for display
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|
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const connector = isLast ? '└── ' : '├── ';
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const childPrefix = isLast ? ' ' : '│ ';
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|
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console.log(
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chalk.blue(
|
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` ${prefix}${connector}Task ${node.id}: ${truncate(node.title, 40)}`
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)
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);
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|
|
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if (node.dependencies && node.dependencies.length > 0) {
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for (let i = 0; i < node.dependencies.length; i++) {
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const isLastChild = i === node.dependencies.length - 1;
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visualizeDependencyGraph(
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node.dependencies[i],
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prefix + childPrefix,
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isLastChild,
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depth + 1
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);
|
|
}
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}
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}
|
|
|
|
// Visualize each dependency graph
|
|
for (const graph of dependencyGraphs) {
|
|
visualizeDependencyGraph(graph);
|
|
}
|
|
}
|
|
|
|
console.log(); // Add spacing
|
|
}
|
|
} else {
|
|
// If no dependencies provided, use Fuse.js to find semantically related tasks
|
|
// Create fuzzy search index for all tasks
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|
const searchOptions = {
|
|
includeScore: true, // Return match scores
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|
threshold: 0.4, // Lower threshold = stricter matching (range 0-1)
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|
keys: [
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|
{ name: 'title', weight: 2 }, // Title is most important
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|
{ name: 'description', weight: 1.5 }, // Description is next
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|
{ name: 'details', weight: 0.8 }, // Details is less important
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|
// Search dependencies to find tasks that depend on similar things
|
|
{ name: 'dependencyTitles', weight: 0.5 }
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|
],
|
|
// Sort matches by score (lower is better)
|
|
shouldSort: true,
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|
// Allow searching in nested properties
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|
useExtendedSearch: true,
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// Return up to 15 matches
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|
limit: 15
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};
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|
|
|
// Prepare task data with dependencies expanded as titles for better semantic search
|
|
const searchableTasks = data.tasks.map((task) => {
|
|
// Get titles of this task's dependencies if they exist
|
|
const dependencyTitles =
|
|
task.dependencies?.length > 0
|
|
? task.dependencies
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|
.map((depId) => {
|
|
const depTask = data.tasks.find((t) => t.id === depId);
|
|
return depTask ? depTask.title : '';
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|
})
|
|
.filter((title) => title)
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.join(' ')
|
|
: '';
|
|
|
|
return {
|
|
...task,
|
|
dependencyTitles
|
|
};
|
|
});
|
|
|
|
// Create search index using Fuse.js
|
|
const fuse = new Fuse(searchableTasks, searchOptions);
|
|
|
|
// Extract significant words and phrases from the prompt
|
|
const promptWords = prompt
|
|
.toLowerCase()
|
|
.replace(/[^\w\s-]/g, ' ') // Replace non-alphanumeric chars with spaces
|
|
.split(/\s+/)
|
|
.filter((word) => word.length > 3); // Words at least 4 chars
|
|
|
|
// Use the user's prompt for fuzzy search
|
|
const fuzzyResults = fuse.search(prompt);
|
|
|
|
// Also search for each significant word to catch different aspects
|
|
let wordResults = [];
|
|
for (const word of promptWords) {
|
|
if (word.length > 5) {
|
|
// Only use significant words
|
|
const results = fuse.search(word);
|
|
if (results.length > 0) {
|
|
wordResults.push(...results);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Merge and deduplicate results
|
|
const mergedResults = [...fuzzyResults];
|
|
|
|
// Add word results that aren't already in fuzzyResults
|
|
for (const wordResult of wordResults) {
|
|
if (!mergedResults.some((r) => r.item.id === wordResult.item.id)) {
|
|
mergedResults.push(wordResult);
|
|
}
|
|
}
|
|
|
|
// Group search results by relevance
|
|
const highRelevance = mergedResults
|
|
.filter((result) => result.score < 0.25)
|
|
.map((result) => result.item);
|
|
|
|
const mediumRelevance = mergedResults
|
|
.filter((result) => result.score >= 0.25 && result.score < 0.4)
|
|
.map((result) => result.item);
|
|
|
|
// Get recent tasks (newest first)
|
|
const recentTasks = [...data.tasks]
|
|
.sort((a, b) => b.id - a.id)
|
|
.slice(0, 5);
|
|
|
|
// Combine high relevance, medium relevance, and recent tasks
|
|
// Prioritize high relevance first
|
|
const allRelevantTasks = [...highRelevance];
|
|
|
|
// Add medium relevance if not already included
|
|
for (const task of mediumRelevance) {
|
|
if (!allRelevantTasks.some((t) => t.id === task.id)) {
|
|
allRelevantTasks.push(task);
|
|
}
|
|
}
|
|
|
|
// Add recent tasks if not already included
|
|
for (const task of recentTasks) {
|
|
if (!allRelevantTasks.some((t) => t.id === task.id)) {
|
|
allRelevantTasks.push(task);
|
|
}
|
|
}
|
|
|
|
// Get top N results for context
|
|
const relatedTasks = allRelevantTasks.slice(0, 8);
|
|
|
|
// Also look for tasks with similar purposes or categories
|
|
const purposeCategories = [
|
|
{ pattern: /(command|cli|flag)/i, label: 'CLI commands' },
|
|
{ pattern: /(task|subtask|add)/i, label: 'Task management' },
|
|
{ pattern: /(dependency|depend)/i, label: 'Dependency handling' },
|
|
{ pattern: /(AI|model|prompt)/i, label: 'AI integration' },
|
|
{ pattern: /(UI|display|show)/i, label: 'User interface' },
|
|
{ pattern: /(schedule|time|cron)/i, label: 'Scheduling' }, // Added scheduling category
|
|
{ pattern: /(config|setting|option)/i, label: 'Configuration' } // Added configuration category
|
|
];
|
|
|
|
promptCategory = purposeCategories.find((cat) =>
|
|
cat.pattern.test(prompt)
|
|
);
|
|
const categoryTasks = promptCategory
|
|
? data.tasks
|
|
.filter(
|
|
(t) =>
|
|
promptCategory.pattern.test(t.title) ||
|
|
promptCategory.pattern.test(t.description) ||
|
|
(t.details && promptCategory.pattern.test(t.details))
|
|
)
|
|
.filter((t) => !relatedTasks.some((rt) => rt.id === t.id))
|
|
.slice(0, 3)
|
|
: [];
|
|
|
|
// Format basic task overviews
|
|
if (relatedTasks.length > 0) {
|
|
contextTasks = `\nRelevant tasks identified by semantic similarity:\n${relatedTasks
|
|
.map((t, i) => {
|
|
const relevanceMarker = i < highRelevance.length ? '⭐ ' : '';
|
|
return `- ${relevanceMarker}Task ${t.id}: ${t.title} - ${t.description}`;
|
|
})
|
|
.join('\n')}`;
|
|
}
|
|
|
|
if (categoryTasks.length > 0) {
|
|
contextTasks += `\n\nTasks related to ${promptCategory.label}:\n${categoryTasks
|
|
.map((t) => `- Task ${t.id}: ${t.title} - ${t.description}`)
|
|
.join('\n')}`;
|
|
}
|
|
|
|
if (
|
|
recentTasks.length > 0 &&
|
|
!contextTasks.includes('Recently created tasks')
|
|
) {
|
|
contextTasks += `\n\nRecently created tasks:\n${recentTasks
|
|
.filter((t) => !relatedTasks.some((rt) => rt.id === t.id))
|
|
.slice(0, 3)
|
|
.map((t) => `- Task ${t.id}: ${t.title} - ${t.description}`)
|
|
.join('\n')}`;
|
|
}
|
|
|
|
// Add detailed information about the most relevant tasks
|
|
const allDetailedTasks = [
|
|
...relatedTasks.slice(0, 5),
|
|
...categoryTasks.slice(0, 2)
|
|
];
|
|
uniqueDetailedTasks = Array.from(
|
|
new Map(allDetailedTasks.map((t) => [t.id, t])).values()
|
|
).slice(0, 8);
|
|
|
|
if (uniqueDetailedTasks.length > 0) {
|
|
contextTasks += `\n\nDetailed information about relevant tasks:`;
|
|
for (const task of uniqueDetailedTasks) {
|
|
contextTasks += `\n\n------ Task ${task.id}: ${task.title} ------\n`;
|
|
contextTasks += `Description: ${task.description}\n`;
|
|
contextTasks += `Status: ${task.status || 'pending'}\n`;
|
|
contextTasks += `Priority: ${task.priority || 'medium'}\n`;
|
|
if (task.dependencies && task.dependencies.length > 0) {
|
|
// Format dependency list with titles
|
|
const depList = task.dependencies.map((depId) => {
|
|
const depTask = data.tasks.find((t) => t.id === depId);
|
|
return depTask
|
|
? `Task ${depId} (${depTask.title})`
|
|
: `Task ${depId}`;
|
|
});
|
|
contextTasks += `Dependencies: ${depList.join(', ')}\n`;
|
|
}
|
|
// Add implementation details but truncate if too long
|
|
if (task.details) {
|
|
const truncatedDetails =
|
|
task.details.length > 400
|
|
? task.details.substring(0, 400) + '... (truncated)'
|
|
: task.details;
|
|
contextTasks += `Implementation Details: ${truncatedDetails}\n`;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Add a concise view of the task dependency structure
|
|
contextTasks += '\n\nSummary of task dependencies in the project:';
|
|
|
|
// Get pending/in-progress tasks that might be most relevant based on fuzzy search
|
|
// Prioritize tasks from our similarity search
|
|
const relevantTaskIds = new Set(uniqueDetailedTasks.map((t) => t.id));
|
|
const relevantPendingTasks = data.tasks
|
|
.filter(
|
|
(t) =>
|
|
(t.status === 'pending' || t.status === 'in-progress') &&
|
|
// Either in our relevant set OR has relevant words in title/description
|
|
(relevantTaskIds.has(t.id) ||
|
|
promptWords.some(
|
|
(word) =>
|
|
t.title.toLowerCase().includes(word) ||
|
|
t.description.toLowerCase().includes(word)
|
|
))
|
|
)
|
|
.slice(0, 10);
|
|
|
|
for (const task of relevantPendingTasks) {
|
|
const depsStr =
|
|
task.dependencies && task.dependencies.length > 0
|
|
? task.dependencies.join(', ')
|
|
: 'None';
|
|
contextTasks += `\n- Task ${task.id}: depends on [${depsStr}]`;
|
|
}
|
|
|
|
// Additional analysis of common patterns
|
|
const similarPurposeTasks = promptCategory
|
|
? data.tasks.filter(
|
|
(t) =>
|
|
promptCategory.pattern.test(t.title) ||
|
|
promptCategory.pattern.test(t.description)
|
|
)
|
|
: [];
|
|
|
|
let commonDeps = []; // Initialize commonDeps
|
|
|
|
if (similarPurposeTasks.length > 0) {
|
|
contextTasks += `\n\nCommon patterns for ${promptCategory ? promptCategory.label : 'similar'} tasks:`;
|
|
|
|
// Collect dependencies from similar purpose tasks
|
|
const similarDeps = similarPurposeTasks
|
|
.filter((t) => t.dependencies && t.dependencies.length > 0)
|
|
.map((t) => t.dependencies)
|
|
.flat();
|
|
|
|
// Count frequency of each dependency
|
|
const depCounts = {};
|
|
similarDeps.forEach((dep) => {
|
|
depCounts[dep] = (depCounts[dep] || 0) + 1;
|
|
});
|
|
|
|
// Get most common dependencies for similar tasks
|
|
commonDeps = Object.entries(depCounts)
|
|
.sort((a, b) => b[1] - a[1])
|
|
.slice(0, 5);
|
|
|
|
if (commonDeps.length > 0) {
|
|
contextTasks += '\nMost common dependencies for similar tasks:';
|
|
commonDeps.forEach(([depId, count]) => {
|
|
const depTask = data.tasks.find((t) => t.id === parseInt(depId));
|
|
if (depTask) {
|
|
contextTasks += `\n- Task ${depId} (used by ${count} similar tasks): ${depTask.title}`;
|
|
}
|
|
});
|
|
}
|
|
}
|
|
|
|
// Show fuzzy search analysis in CLI mode
|
|
if (outputFormat === 'text') {
|
|
console.log(
|
|
chalk.gray(
|
|
` Fuzzy search across ${data.tasks.length} tasks using full prompt and ${promptWords.length} keywords`
|
|
)
|
|
);
|
|
|
|
if (highRelevance.length > 0) {
|
|
console.log(
|
|
chalk.gray(`\n High relevance matches (score < 0.25):`)
|
|
);
|
|
highRelevance.slice(0, 5).forEach((t) => {
|
|
console.log(
|
|
chalk.yellow(` • ⭐ Task ${t.id}: ${truncate(t.title, 50)}`)
|
|
);
|
|
});
|
|
}
|
|
|
|
if (mediumRelevance.length > 0) {
|
|
console.log(
|
|
chalk.gray(`\n Medium relevance matches (score < 0.4):`)
|
|
);
|
|
mediumRelevance.slice(0, 3).forEach((t) => {
|
|
console.log(
|
|
chalk.green(` • Task ${t.id}: ${truncate(t.title, 50)}`)
|
|
);
|
|
});
|
|
}
|
|
|
|
if (promptCategory && categoryTasks.length > 0) {
|
|
console.log(
|
|
chalk.gray(`\n Tasks related to ${promptCategory.label}:`)
|
|
);
|
|
categoryTasks.forEach((t) => {
|
|
console.log(
|
|
chalk.magenta(` • Task ${t.id}: ${truncate(t.title, 50)}`)
|
|
);
|
|
});
|
|
}
|
|
|
|
// Show dependency patterns
|
|
if (commonDeps && commonDeps.length > 0) {
|
|
console.log(
|
|
chalk.gray(`\n Common dependency patterns for similar tasks:`)
|
|
);
|
|
commonDeps.slice(0, 3).forEach(([depId, count]) => {
|
|
const depTask = data.tasks.find((t) => t.id === parseInt(depId));
|
|
if (depTask) {
|
|
console.log(
|
|
chalk.blue(
|
|
` • Task ${depId} (${count}x): ${truncate(depTask.title, 45)}`
|
|
)
|
|
);
|
|
}
|
|
});
|
|
}
|
|
|
|
// Add information about which tasks will be provided in detail
|
|
if (uniqueDetailedTasks.length > 0) {
|
|
console.log(
|
|
chalk.gray(
|
|
`\n Providing detailed context for ${uniqueDetailedTasks.length} most relevant tasks:`
|
|
)
|
|
);
|
|
uniqueDetailedTasks.forEach((t) => {
|
|
const isHighRelevance = highRelevance.some(
|
|
(ht) => ht.id === t.id
|
|
);
|
|
const relevanceIndicator = isHighRelevance ? '⭐ ' : '';
|
|
console.log(
|
|
chalk.cyan(
|
|
` • ${relevanceIndicator}Task ${t.id}: ${truncate(t.title, 40)}`
|
|
)
|
|
);
|
|
});
|
|
}
|
|
|
|
console.log(); // Add spacing
|
|
}
|
|
}
|
|
|
|
// DETERMINE THE ACTUAL COUNT OF DETAILED TASKS BEING USED FOR AI CONTEXT
|
|
let actualDetailedTasksCount = 0;
|
|
if (numericDependencies.length > 0) {
|
|
// In explicit dependency mode, we used 'uniqueDetailedTasks' derived from 'dependentTasks'
|
|
// Ensure 'uniqueDetailedTasks' from THAT scope is used or re-evaluate.
|
|
// For simplicity, let's assume 'dependentTasks' reflects the detailed tasks.
|
|
actualDetailedTasksCount = dependentTasks.length;
|
|
} else {
|
|
// In fuzzy search mode, 'uniqueDetailedTasks' from THIS scope is correct.
|
|
actualDetailedTasksCount = uniqueDetailedTasks
|
|
? uniqueDetailedTasks.length
|
|
: 0;
|
|
}
|
|
|
|
// Add a visual transition to show we're moving to AI generation - only for CLI
|
|
if (outputFormat === 'text') {
|
|
console.log(
|
|
boxen(
|
|
chalk.white.bold('AI Task Generation') +
|
|
`\n\n${chalk.gray('Analyzing context and generating task details using AI...')}` +
|
|
`\n${chalk.cyan('Context size: ')}${chalk.yellow(contextTasks.length.toLocaleString())} characters` +
|
|
`\n${chalk.cyan('Dependency detection: ')}${chalk.yellow(numericDependencies.length > 0 ? 'Explicit dependencies' : 'Auto-discovery mode')}` +
|
|
`\n${chalk.cyan('Detailed tasks: ')}${chalk.yellow(
|
|
numericDependencies.length > 0
|
|
? dependentTasks.length // Use length of tasks from explicit dependency path
|
|
: uniqueDetailedTasks.length // Use length of tasks from fuzzy search path
|
|
)}` +
|
|
(promptCategory
|
|
? `\n${chalk.cyan('Category detected: ')}${chalk.yellow(promptCategory.label)}`
|
|
: ''),
|
|
{
|
|
padding: { top: 0, bottom: 1, left: 1, right: 1 },
|
|
margin: { top: 1, bottom: 0 },
|
|
borderColor: 'white',
|
|
borderStyle: 'round'
|
|
}
|
|
)
|
|
);
|
|
console.log(); // Add spacing
|
|
}
|
|
|
|
// System Prompt - Enhanced for dependency awareness
|
|
const systemPrompt =
|
|
"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. Pay special attention to dependencies between tasks, ensuring the new task correctly references any tasks it depends on.\n\n" +
|
|
'When determining dependencies for a new task, follow these principles:\n' +
|
|
'1. Select dependencies based on logical requirements - what must be completed before this task can begin.\n' +
|
|
'2. Prioritize task dependencies that are semantically related to the functionality being built.\n' +
|
|
'3. Consider both direct dependencies (immediately prerequisite) and indirect dependencies.\n' +
|
|
'4. Avoid adding unnecessary dependencies - only include tasks that are genuinely prerequisite.\n' +
|
|
'5. Consider the current status of tasks - prefer completed tasks as dependencies when possible.\n' +
|
|
"6. Pay special attention to foundation tasks (1-5) but don't automatically include them without reason.\n" +
|
|
'7. Recent tasks (higher ID numbers) may be more relevant for newer functionality.\n\n' +
|
|
'The dependencies array should contain task IDs (numbers) of prerequisite tasks.\n';
|
|
|
|
// Task Structure Description (for user prompt)
|
|
const taskStructureDesc = `
|
|
{
|
|
"title": "Task title goes here",
|
|
"description": "A concise one or two sentence description of what the task involves",
|
|
"details": "Detailed implementation steps, considerations, code examples, or technical approach",
|
|
"testStrategy": "Specific steps to verify correct implementation and functionality",
|
|
"dependencies": [1, 3] // Example: IDs of tasks that must be completed before this task
|
|
}
|
|
`;
|
|
|
|
// Add any manually provided details to the prompt for context
|
|
let contextFromArgs = '';
|
|
if (manualTaskData?.title)
|
|
contextFromArgs += `\n- Suggested Title: "${manualTaskData.title}"`;
|
|
if (manualTaskData?.description)
|
|
contextFromArgs += `\n- Suggested Description: "${manualTaskData.description}"`;
|
|
if (manualTaskData?.details)
|
|
contextFromArgs += `\n- Additional Details Context: "${manualTaskData.details}"`;
|
|
if (manualTaskData?.testStrategy)
|
|
contextFromArgs += `\n- Additional Test Strategy Context: "${manualTaskData.testStrategy}"`;
|
|
|
|
// User Prompt
|
|
const userPrompt = `You are generating the details for Task #${newTaskId}. Based on the user's request: "${prompt}", create a comprehensive new task for a software development project.
|
|
|
|
${contextTasks}
|
|
${contextFromArgs ? `\nConsider these additional details provided by the user:${contextFromArgs}` : ''}
|
|
|
|
Based on the information about existing tasks provided above, include appropriate dependencies in the "dependencies" array. Only include task IDs that this new task directly depends on.
|
|
|
|
Return your answer as a single JSON object matching the schema precisely:
|
|
${taskStructureDesc}
|
|
|
|
Make sure the details and test strategy are comprehensive and specific. DO NOT include the task ID in the title.
|
|
`;
|
|
|
|
// Start the loading indicator - only for text mode
|
|
if (outputFormat === 'text') {
|
|
loadingIndicator = startLoadingIndicator(
|
|
`Generating new task with ${useResearch ? 'Research' : 'Main'} AI...\n`
|
|
);
|
|
}
|
|
|
|
try {
|
|
const serviceRole = useResearch ? 'research' : 'main';
|
|
report('DEBUG: Calling generateObjectService...', 'debug');
|
|
|
|
aiServiceResponse = await generateObjectService({
|
|
// Capture the full response
|
|
role: serviceRole,
|
|
session: session,
|
|
projectRoot: projectRoot,
|
|
schema: AiTaskDataSchema,
|
|
objectName: 'newTaskData',
|
|
systemPrompt: systemPrompt,
|
|
prompt: userPrompt,
|
|
commandName: commandName || 'add-task', // Use passed commandName or default
|
|
outputType: outputType || (isMCP ? 'mcp' : 'cli') // Use passed outputType or derive
|
|
});
|
|
report('DEBUG: generateObjectService returned successfully.', 'debug');
|
|
|
|
if (!aiServiceResponse || !aiServiceResponse.mainResult) {
|
|
throw new Error(
|
|
'AI service did not return the expected object structure.'
|
|
);
|
|
}
|
|
|
|
// Prefer mainResult if it looks like a valid task object, otherwise try mainResult.object
|
|
if (
|
|
aiServiceResponse.mainResult.title &&
|
|
aiServiceResponse.mainResult.description
|
|
) {
|
|
taskData = aiServiceResponse.mainResult;
|
|
} else if (
|
|
aiServiceResponse.mainResult.object &&
|
|
aiServiceResponse.mainResult.object.title &&
|
|
aiServiceResponse.mainResult.object.description
|
|
) {
|
|
taskData = aiServiceResponse.mainResult.object;
|
|
} else {
|
|
throw new Error('AI service did not return a valid task object.');
|
|
}
|
|
|
|
report('Successfully generated task data from AI.', 'success');
|
|
} catch (error) {
|
|
report(
|
|
`DEBUG: generateObjectService caught error: ${error.message}`,
|
|
'debug'
|
|
);
|
|
report(`Error generating task with AI: ${error.message}`, 'error');
|
|
if (loadingIndicator) stopLoadingIndicator(loadingIndicator);
|
|
throw error; // Re-throw error after logging
|
|
} finally {
|
|
report('DEBUG: generateObjectService finally block reached.', 'debug');
|
|
if (loadingIndicator) stopLoadingIndicator(loadingIndicator); // Ensure indicator stops
|
|
}
|
|
// --- End Refactored AI Interaction ---
|
|
}
|
|
|
|
// Create the new task object
|
|
const newTask = {
|
|
id: newTaskId,
|
|
title: taskData.title,
|
|
description: taskData.description,
|
|
details: taskData.details || '',
|
|
testStrategy: taskData.testStrategy || '',
|
|
status: 'pending',
|
|
dependencies: taskData.dependencies?.length
|
|
? taskData.dependencies
|
|
: numericDependencies, // Use AI-suggested dependencies if available, fallback to manually specified
|
|
priority: effectivePriority,
|
|
subtasks: [] // Initialize with empty subtasks array
|
|
};
|
|
|
|
// Additional check: validate all dependencies in the AI response
|
|
if (taskData.dependencies?.length) {
|
|
const allValidDeps = taskData.dependencies.every((depId) => {
|
|
const numDepId = parseInt(depId, 10);
|
|
return !isNaN(numDepId) && data.tasks.some((t) => t.id === numDepId);
|
|
});
|
|
|
|
if (!allValidDeps) {
|
|
report(
|
|
'AI suggested invalid dependencies. Filtering them out...',
|
|
'warn'
|
|
);
|
|
newTask.dependencies = taskData.dependencies.filter((depId) => {
|
|
const numDepId = parseInt(depId, 10);
|
|
return !isNaN(numDepId) && data.tasks.some((t) => t.id === numDepId);
|
|
});
|
|
}
|
|
}
|
|
|
|
// Add the task to the tasks array
|
|
data.tasks.push(newTask);
|
|
|
|
report('DEBUG: Writing tasks.json...', 'debug');
|
|
// Write the updated tasks to the file
|
|
writeJSON(tasksPath, data);
|
|
report('DEBUG: tasks.json written.', 'debug');
|
|
|
|
// Generate markdown task files
|
|
report('Generating task files...', 'info');
|
|
report('DEBUG: Calling generateTaskFiles...', 'debug');
|
|
// Pass mcpLog if available to generateTaskFiles
|
|
await generateTaskFiles(tasksPath, path.dirname(tasksPath), { mcpLog });
|
|
report('DEBUG: generateTaskFiles finished.', 'debug');
|
|
|
|
// Show success message - only for text output (CLI)
|
|
if (outputFormat === 'text') {
|
|
const table = new Table({
|
|
head: [
|
|
chalk.cyan.bold('ID'),
|
|
chalk.cyan.bold('Title'),
|
|
chalk.cyan.bold('Description')
|
|
],
|
|
colWidths: [5, 30, 50] // Adjust widths as needed
|
|
});
|
|
|
|
table.push([
|
|
newTask.id,
|
|
truncate(newTask.title, 27),
|
|
truncate(newTask.description, 47)
|
|
]);
|
|
|
|
console.log(chalk.green('✅ New task created successfully:'));
|
|
console.log(table.toString());
|
|
|
|
// Helper to get priority color
|
|
const getPriorityColor = (p) => {
|
|
switch (p?.toLowerCase()) {
|
|
case 'high':
|
|
return 'red';
|
|
case 'low':
|
|
return 'gray';
|
|
case 'medium':
|
|
default:
|
|
return 'yellow';
|
|
}
|
|
};
|
|
|
|
// Check if AI added new dependencies that weren't explicitly provided
|
|
const aiAddedDeps = newTask.dependencies.filter(
|
|
(dep) => !numericDependencies.includes(dep)
|
|
);
|
|
|
|
// Check if AI removed any dependencies that were explicitly provided
|
|
const aiRemovedDeps = numericDependencies.filter(
|
|
(dep) => !newTask.dependencies.includes(dep)
|
|
);
|
|
|
|
// Get task titles for dependencies to display
|
|
const depTitles = {};
|
|
newTask.dependencies.forEach((dep) => {
|
|
const depTask = data.tasks.find((t) => t.id === dep);
|
|
if (depTask) {
|
|
depTitles[dep] = truncate(depTask.title, 30);
|
|
}
|
|
});
|
|
|
|
// Prepare dependency display string
|
|
let dependencyDisplay = '';
|
|
if (newTask.dependencies.length > 0) {
|
|
dependencyDisplay = chalk.white('Dependencies:') + '\n';
|
|
newTask.dependencies.forEach((dep) => {
|
|
const isAiAdded = aiAddedDeps.includes(dep);
|
|
const depType = isAiAdded ? chalk.yellow(' (AI suggested)') : '';
|
|
dependencyDisplay +=
|
|
chalk.white(
|
|
` - ${dep}: ${depTitles[dep] || 'Unknown task'}${depType}`
|
|
) + '\n';
|
|
});
|
|
} else {
|
|
dependencyDisplay = chalk.white('Dependencies: None') + '\n';
|
|
}
|
|
|
|
// Add info about removed dependencies if any
|
|
if (aiRemovedDeps.length > 0) {
|
|
dependencyDisplay +=
|
|
chalk.gray('\nUser-specified dependencies that were not used:') +
|
|
'\n';
|
|
aiRemovedDeps.forEach((dep) => {
|
|
const depTask = data.tasks.find((t) => t.id === dep);
|
|
const title = depTask ? truncate(depTask.title, 30) : 'Unknown task';
|
|
dependencyDisplay += chalk.gray(` - ${dep}: ${title}`) + '\n';
|
|
});
|
|
}
|
|
|
|
// Add dependency analysis summary
|
|
let dependencyAnalysis = '';
|
|
if (aiAddedDeps.length > 0 || aiRemovedDeps.length > 0) {
|
|
dependencyAnalysis =
|
|
'\n' + chalk.white.bold('Dependency Analysis:') + '\n';
|
|
if (aiAddedDeps.length > 0) {
|
|
dependencyAnalysis +=
|
|
chalk.green(
|
|
`AI identified ${aiAddedDeps.length} additional dependencies`
|
|
) + '\n';
|
|
}
|
|
if (aiRemovedDeps.length > 0) {
|
|
dependencyAnalysis +=
|
|
chalk.yellow(
|
|
`AI excluded ${aiRemovedDeps.length} user-provided dependencies`
|
|
) + '\n';
|
|
}
|
|
}
|
|
|
|
// Show success message box
|
|
console.log(
|
|
boxen(
|
|
chalk.white.bold(`Task ${newTaskId} Created Successfully`) +
|
|
'\n\n' +
|
|
chalk.white(`Title: ${newTask.title}`) +
|
|
'\n' +
|
|
chalk.white(`Status: ${getStatusWithColor(newTask.status)}`) +
|
|
'\n' +
|
|
chalk.white(
|
|
`Priority: ${chalk[getPriorityColor(newTask.priority)](newTask.priority)}`
|
|
) +
|
|
'\n\n' +
|
|
dependencyDisplay +
|
|
dependencyAnalysis +
|
|
'\n' +
|
|
chalk.white.bold('Next Steps:') +
|
|
'\n' +
|
|
chalk.cyan(
|
|
`1. Run ${chalk.yellow(`task-master show ${newTaskId}`)} to see complete task details`
|
|
) +
|
|
'\n' +
|
|
chalk.cyan(
|
|
`2. Run ${chalk.yellow(`task-master set-status --id=${newTaskId} --status=in-progress`)} to start working on it`
|
|
) +
|
|
'\n' +
|
|
chalk.cyan(
|
|
`3. Run ${chalk.yellow(`task-master expand --id=${newTaskId}`)} to break it down into subtasks`
|
|
),
|
|
{ padding: 1, borderColor: 'green', borderStyle: 'round' }
|
|
)
|
|
);
|
|
|
|
// Display AI Usage Summary if telemetryData is available
|
|
if (
|
|
aiServiceResponse &&
|
|
aiServiceResponse.telemetryData &&
|
|
(outputType === 'cli' || outputType === 'text')
|
|
) {
|
|
displayAiUsageSummary(aiServiceResponse.telemetryData, 'cli');
|
|
}
|
|
}
|
|
|
|
report(
|
|
`DEBUG: Returning new task ID: ${newTaskId} and telemetry.`,
|
|
'debug'
|
|
);
|
|
return {
|
|
newTaskId: newTaskId,
|
|
telemetryData: aiServiceResponse ? aiServiceResponse.telemetryData : null
|
|
};
|
|
} catch (error) {
|
|
// Stop any loading indicator on error
|
|
if (loadingIndicator) {
|
|
stopLoadingIndicator(loadingIndicator);
|
|
}
|
|
|
|
report(`Error adding task: ${error.message}`, 'error');
|
|
if (outputFormat === 'text') {
|
|
console.error(chalk.red(`Error: ${error.message}`));
|
|
}
|
|
// In MCP mode, we let the direct function handler catch and format
|
|
throw error;
|
|
}
|
|
}
|
|
|
|
export default addTask;
|