chore: run npm run format
This commit is contained in:
Ralph Khreish
@@ -7,144 +7,172 @@ import path from 'path';
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import fs from 'fs';
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import { parsePRD } from '../../../../scripts/modules/task-manager.js';
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import { findTasksJsonPath } from '../utils/path-utils.js';
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import { enableSilentMode, disableSilentMode } from '../../../../scripts/modules/utils.js';
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import { getAnthropicClientForMCP, getModelConfig } from '../utils/ai-client-utils.js';
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import {
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enableSilentMode,
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disableSilentMode
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} from '../../../../scripts/modules/utils.js';
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import {
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getAnthropicClientForMCP,
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getModelConfig
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} from '../utils/ai-client-utils.js';
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/**
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* Direct function wrapper for parsing PRD documents and generating tasks.
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*
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*
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* @param {Object} args - Command arguments containing input, numTasks or tasks, and output options.
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* @param {Object} log - Logger object.
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* @param {Object} context - Context object containing session data.
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* @returns {Promise<Object>} - Result object with success status and data/error information.
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*/
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export async function parsePRDDirect(args, log, context = {}) {
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const { session } = context; // Only extract session, not reportProgress
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try {
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log.info(`Parsing PRD document with args: ${JSON.stringify(args)}`);
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// Initialize AI client for PRD parsing
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let aiClient;
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try {
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aiClient = getAnthropicClientForMCP(session, log);
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} catch (error) {
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log.error(`Failed to initialize AI client: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'AI_CLIENT_ERROR',
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message: `Cannot initialize AI client: ${error.message}`
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},
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fromCache: false
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};
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}
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// Parameter validation and path resolution
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if (!args.input) {
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const errorMessage = 'No input file specified. Please provide an input PRD document path.';
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log.error(errorMessage);
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return {
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success: false,
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error: { code: 'MISSING_INPUT_FILE', message: errorMessage },
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fromCache: false
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};
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}
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// Resolve input path (relative to project root if provided)
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const projectRoot = args.projectRoot || process.cwd();
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const inputPath = path.isAbsolute(args.input) ? args.input : path.resolve(projectRoot, args.input);
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// Determine output path
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let outputPath;
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if (args.output) {
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outputPath = path.isAbsolute(args.output) ? args.output : path.resolve(projectRoot, args.output);
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} else {
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// Default to tasks/tasks.json in the project root
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outputPath = path.resolve(projectRoot, 'tasks', 'tasks.json');
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}
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// Verify input file exists
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if (!fs.existsSync(inputPath)) {
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const errorMessage = `Input file not found: ${inputPath}`;
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log.error(errorMessage);
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return {
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success: false,
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error: { code: 'INPUT_FILE_NOT_FOUND', message: errorMessage },
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fromCache: false
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};
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}
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// Parse number of tasks - handle both string and number values
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let numTasks = 10; // Default
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if (args.numTasks) {
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numTasks = typeof args.numTasks === 'string' ? parseInt(args.numTasks, 10) : args.numTasks;
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if (isNaN(numTasks)) {
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numTasks = 10; // Fallback to default if parsing fails
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log.warn(`Invalid numTasks value: ${args.numTasks}. Using default: 10`);
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}
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}
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log.info(`Preparing to parse PRD from ${inputPath} and output to ${outputPath} with ${numTasks} tasks`);
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// Create the logger wrapper for proper logging in the core function
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const logWrapper = {
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info: (message, ...args) => log.info(message, ...args),
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warn: (message, ...args) => log.warn(message, ...args),
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error: (message, ...args) => log.error(message, ...args),
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debug: (message, ...args) => log.debug && log.debug(message, ...args),
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success: (message, ...args) => log.info(message, ...args) // Map success to info
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};
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const { session } = context; // Only extract session, not reportProgress
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// Get model config from session
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const modelConfig = getModelConfig(session);
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// Enable silent mode to prevent console logs from interfering with JSON response
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enableSilentMode();
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try {
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// Execute core parsePRD function with AI client
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await parsePRD(inputPath, outputPath, numTasks, {
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mcpLog: logWrapper,
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session
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}, aiClient, modelConfig);
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// Since parsePRD doesn't return a value but writes to a file, we'll read the result
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// to return it to the caller
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if (fs.existsSync(outputPath)) {
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const tasksData = JSON.parse(fs.readFileSync(outputPath, 'utf8'));
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log.info(`Successfully parsed PRD and generated ${tasksData.tasks?.length || 0} tasks`);
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return {
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success: true,
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data: {
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message: `Successfully generated ${tasksData.tasks?.length || 0} tasks from PRD`,
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taskCount: tasksData.tasks?.length || 0,
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outputPath
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},
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fromCache: false // This operation always modifies state and should never be cached
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};
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} else {
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const errorMessage = `Tasks file was not created at ${outputPath}`;
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log.error(errorMessage);
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return {
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success: false,
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error: { code: 'OUTPUT_FILE_NOT_CREATED', message: errorMessage },
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fromCache: false
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};
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}
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} finally {
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// Always restore normal logging
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disableSilentMode();
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}
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} catch (error) {
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// Make sure to restore normal logging even if there's an error
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disableSilentMode();
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log.error(`Error parsing PRD: ${error.message}`);
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return {
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success: false,
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error: { code: 'PARSE_PRD_ERROR', message: error.message || 'Unknown error parsing PRD' },
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fromCache: false
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};
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}
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}
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try {
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log.info(`Parsing PRD document with args: ${JSON.stringify(args)}`);
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// Initialize AI client for PRD parsing
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let aiClient;
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try {
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aiClient = getAnthropicClientForMCP(session, log);
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} catch (error) {
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log.error(`Failed to initialize AI client: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'AI_CLIENT_ERROR',
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message: `Cannot initialize AI client: ${error.message}`
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},
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fromCache: false
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};
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}
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// Parameter validation and path resolution
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if (!args.input) {
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const errorMessage =
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'No input file specified. Please provide an input PRD document path.';
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log.error(errorMessage);
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return {
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success: false,
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error: { code: 'MISSING_INPUT_FILE', message: errorMessage },
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fromCache: false
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};
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}
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// Resolve input path (relative to project root if provided)
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const projectRoot = args.projectRoot || process.cwd();
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const inputPath = path.isAbsolute(args.input)
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? args.input
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: path.resolve(projectRoot, args.input);
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// Determine output path
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let outputPath;
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if (args.output) {
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outputPath = path.isAbsolute(args.output)
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? args.output
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: path.resolve(projectRoot, args.output);
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} else {
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// Default to tasks/tasks.json in the project root
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outputPath = path.resolve(projectRoot, 'tasks', 'tasks.json');
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}
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// Verify input file exists
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if (!fs.existsSync(inputPath)) {
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const errorMessage = `Input file not found: ${inputPath}`;
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log.error(errorMessage);
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return {
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success: false,
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error: { code: 'INPUT_FILE_NOT_FOUND', message: errorMessage },
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fromCache: false
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};
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}
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// Parse number of tasks - handle both string and number values
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let numTasks = 10; // Default
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if (args.numTasks) {
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numTasks =
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typeof args.numTasks === 'string'
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? parseInt(args.numTasks, 10)
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: args.numTasks;
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if (isNaN(numTasks)) {
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numTasks = 10; // Fallback to default if parsing fails
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log.warn(`Invalid numTasks value: ${args.numTasks}. Using default: 10`);
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}
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}
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log.info(
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`Preparing to parse PRD from ${inputPath} and output to ${outputPath} with ${numTasks} tasks`
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);
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// Create the logger wrapper for proper logging in the core function
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const logWrapper = {
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info: (message, ...args) => log.info(message, ...args),
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warn: (message, ...args) => log.warn(message, ...args),
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error: (message, ...args) => log.error(message, ...args),
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debug: (message, ...args) => log.debug && log.debug(message, ...args),
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success: (message, ...args) => log.info(message, ...args) // Map success to info
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};
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// Get model config from session
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const modelConfig = getModelConfig(session);
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// Enable silent mode to prevent console logs from interfering with JSON response
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enableSilentMode();
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try {
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// Execute core parsePRD function with AI client
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await parsePRD(
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inputPath,
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outputPath,
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numTasks,
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{
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mcpLog: logWrapper,
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session
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},
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aiClient,
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modelConfig
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);
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// Since parsePRD doesn't return a value but writes to a file, we'll read the result
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// to return it to the caller
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if (fs.existsSync(outputPath)) {
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const tasksData = JSON.parse(fs.readFileSync(outputPath, 'utf8'));
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log.info(
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`Successfully parsed PRD and generated ${tasksData.tasks?.length || 0} tasks`
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);
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return {
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success: true,
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data: {
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message: `Successfully generated ${tasksData.tasks?.length || 0} tasks from PRD`,
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taskCount: tasksData.tasks?.length || 0,
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outputPath
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},
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fromCache: false // This operation always modifies state and should never be cached
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};
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} else {
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const errorMessage = `Tasks file was not created at ${outputPath}`;
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log.error(errorMessage);
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return {
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success: false,
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error: { code: 'OUTPUT_FILE_NOT_CREATED', message: errorMessage },
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fromCache: false
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};
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}
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} finally {
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// Always restore normal logging
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disableSilentMode();
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}
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} catch (error) {
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// Make sure to restore normal logging even if there's an error
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disableSilentMode();
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log.error(`Error parsing PRD: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'PARSE_PRD_ERROR',
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message: error.message || 'Unknown error parsing PRD'
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},
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fromCache: false
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};
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}
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}
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