3888ef41d4
- Update all core functions that call AI services to extract and return tagInfo - Update all direct functions to include tagInfo in MCP response data - Fixes issue where add_task, expand_task, and other AI commands were not including current tag and available tags information - tagInfo includes currentTag from state.json and availableTags list - Ensures tagged task lists system information is properly propagated through the full chain: AI service -> core function -> direct function -> MCP client
646 lines
21 KiB
JavaScript
646 lines
21 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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succeedLoadingIndicator,
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failLoadingIndicator,
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displayAiUsageSummary,
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displayContextAnalysis
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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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import ContextGatherer from '../utils/contextGatherer.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 (
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Number.isNaN(numDepId) || !data.tasks.some((t) => t.id === numDepId)
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);
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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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// --- Use the new ContextGatherer ---
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const contextGatherer = new ContextGatherer(projectRoot);
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const gatherResult = await contextGatherer.gather({
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semanticQuery: prompt,
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dependencyTasks: numericDependencies,
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format: 'research'
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});
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const gatheredContext = gatherResult.context;
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const analysisData = gatherResult.analysisData;
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// Display context analysis if not in silent mode
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if (outputFormat === 'text' && analysisData) {
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displayContextAnalysis(analysisData, prompt, gatheredContext.length);
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}
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if (outputFormat === 'text') {
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console.log(
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boxen(
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chalk.white.bold('AI Task Generation') +
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`\n\n${chalk.gray('Analyzing context and generating task details using AI...')}`,
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{
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padding: { top: 0, bottom: 1, left: 1, right: 1 },
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margin: { top: 1, bottom: 0 },
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borderColor: 'white',
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borderStyle: 'round'
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}
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)
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);
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}
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// System Prompt - Enhanced for dependency awareness
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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. Pay special attention to dependencies between tasks, ensuring the new task correctly references any tasks it depends on.\n\n" +
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'When determining dependencies for a new task, follow these principles:\n' +
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'1. Select dependencies based on logical requirements - what must be completed before this task can begin.\n' +
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'2. Prioritize task dependencies that are semantically related to the functionality being built.\n' +
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'3. Consider both direct dependencies (immediately prerequisite) and indirect dependencies.\n' +
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'4. Avoid adding unnecessary dependencies - only include tasks that are genuinely prerequisite.\n' +
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'5. Consider the current status of tasks - prefer completed tasks as dependencies when possible.\n' +
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"6. Pay special attention to foundation tasks (1-5) but don't automatically include them without reason.\n" +
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'7. Recent tasks (higher ID numbers) may be more relevant for newer functionality.\n\n' +
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'The dependencies array should contain task IDs (numbers) of prerequisite tasks.\n';
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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": "Detailed implementation steps, considerations, code examples, or technical approach",
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"testStrategy": "Specific steps to verify correct implementation and functionality",
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"dependencies": [1, 3] // Example: IDs of tasks that must be completed before this task
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}
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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: "${manualTaskData.testStrategy}"`;
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// User Prompt
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const userPrompt = `You are generating the details for Task #${newTaskId}. Based on the user's request: "${prompt}", create a comprehensive new task for a software development project.
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${gatheredContext}
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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.
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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 comprehensive and specific. DO NOT include the task ID in the title.
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`;
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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... \n`
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);
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}
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try {
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const serviceRole = useResearch ? 'research' : 'main';
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report('DEBUG: Calling generateObjectService...', 'debug');
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aiServiceResponse = await generateObjectService({
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// Capture the full response
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role: serviceRole,
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session: session,
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projectRoot: projectRoot,
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schema: AiTaskDataSchema,
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objectName: 'newTaskData',
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systemPrompt: systemPrompt,
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prompt: userPrompt,
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commandName: commandName || 'add-task', // Use passed commandName or default
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outputType: outputType || (isMCP ? 'mcp' : 'cli') // Use passed outputType or derive
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});
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report('DEBUG: generateObjectService returned successfully.', 'debug');
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if (!aiServiceResponse || !aiServiceResponse.mainResult) {
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throw new Error(
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'AI service did not return the expected object structure.'
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);
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}
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// Prefer mainResult if it looks like a valid task object, otherwise try mainResult.object
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if (
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aiServiceResponse.mainResult.title &&
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aiServiceResponse.mainResult.description
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) {
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taskData = aiServiceResponse.mainResult;
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} else if (
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aiServiceResponse.mainResult.object &&
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aiServiceResponse.mainResult.object.title &&
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aiServiceResponse.mainResult.object.description
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) {
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taskData = aiServiceResponse.mainResult.object;
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} else {
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throw new Error('AI service did not return a valid task object.');
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}
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report('Successfully generated task data from AI.', 'success');
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// Success! Show checkmark
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if (loadingIndicator) {
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succeedLoadingIndicator(
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loadingIndicator,
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'Task generated successfully'
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);
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loadingIndicator = null; // Clear it
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}
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} catch (error) {
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// Failure! Show X
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if (loadingIndicator) {
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failLoadingIndicator(loadingIndicator, 'AI generation failed');
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loadingIndicator = null;
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}
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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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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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// Clean up if somehow still running
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if (loadingIndicator) {
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stopLoadingIndicator(loadingIndicator);
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}
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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: taskData.dependencies?.length
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? taskData.dependencies
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: numericDependencies, // Use AI-suggested dependencies if available, fallback to manually specified
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priority: effectivePriority,
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subtasks: [] // Initialize with empty subtasks array
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};
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// Additional check: validate all dependencies in the AI response
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if (taskData.dependencies?.length) {
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const allValidDeps = taskData.dependencies.every((depId) => {
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const numDepId = parseInt(depId, 10);
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return (
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!Number.isNaN(numDepId) && data.tasks.some((t) => t.id === numDepId)
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);
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});
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if (!allValidDeps) {
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report(
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'AI suggested invalid dependencies. Filtering them out...',
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'warn'
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);
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newTask.dependencies = taskData.dependencies.filter((depId) => {
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const numDepId = parseInt(depId, 10);
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return (
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!Number.isNaN(numDepId) && data.tasks.some((t) => t.id === numDepId)
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);
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});
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}
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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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|
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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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default:
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return 'yellow';
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}
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};
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|
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// Check if AI added new dependencies that weren't explicitly provided
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const aiAddedDeps = newTask.dependencies.filter(
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(dep) => !numericDependencies.includes(dep)
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);
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|
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// Check if AI removed any dependencies that were explicitly provided
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|
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,
|
|
tagInfo: aiServiceResponse ? aiServiceResponse.tagInfo : 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;
|