chore: run npm run format
This commit is contained in:
Ralph Khreish
@@ -4,7 +4,12 @@
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import { analyzeTaskComplexity } from '../../../../scripts/modules/task-manager.js';
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import { findTasksJsonPath } from '../utils/path-utils.js';
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import { enableSilentMode, disableSilentMode, isSilentMode, readJSON } from '../../../../scripts/modules/utils.js';
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import {
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enableSilentMode,
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disableSilentMode,
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isSilentMode,
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readJSON
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} from '../../../../scripts/modules/utils.js';
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import fs from 'fs';
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import path from 'path';
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@@ -22,135 +27,142 @@ import path from 'path';
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* @returns {Promise<{success: boolean, data?: Object, error?: {code: string, message: string}}>}
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*/
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export async function analyzeTaskComplexityDirect(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(`Analyzing task complexity with args: ${JSON.stringify(args)}`);
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// Find the tasks.json path
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const tasksPath = findTasksJsonPath(args, log);
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// Determine output path
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let outputPath = args.output || 'scripts/task-complexity-report.json';
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if (!path.isAbsolute(outputPath) && args.projectRoot) {
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outputPath = path.join(args.projectRoot, outputPath);
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}
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log.info(`Analyzing task complexity from: ${tasksPath}`);
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log.info(`Output report will be saved to: ${outputPath}`);
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if (args.research) {
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log.info('Using Perplexity AI for research-backed complexity analysis');
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}
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// Create options object for analyzeTaskComplexity
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const options = {
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file: tasksPath,
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output: outputPath,
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model: args.model,
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threshold: args.threshold,
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research: args.research === true
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};
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// Enable silent mode to prevent console logs from interfering with JSON response
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const wasSilent = isSilentMode();
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if (!wasSilent) {
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enableSilentMode();
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}
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// Create a logWrapper that matches the expected mcpLog interface as specified in utilities.mdc
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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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try {
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// Call the core function with session and logWrapper as mcpLog
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await analyzeTaskComplexity(options, {
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session,
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mcpLog: logWrapper // Use the wrapper instead of passing log directly
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});
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} catch (error) {
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log.error(`Error in analyzeTaskComplexity: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'ANALYZE_ERROR',
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message: `Error running complexity analysis: ${error.message}`
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}
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};
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} finally {
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// Always restore normal logging in finally block, but only if we enabled it
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if (!wasSilent) {
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disableSilentMode();
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}
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}
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// Verify the report file was created
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if (!fs.existsSync(outputPath)) {
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return {
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success: false,
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error: {
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code: 'ANALYZE_ERROR',
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message: 'Analysis completed but no report file was created'
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}
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};
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}
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// Read the report file
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let report;
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try {
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report = JSON.parse(fs.readFileSync(outputPath, 'utf8'));
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// Important: Handle different report formats
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// The core function might return an array or an object with a complexityAnalysis property
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const analysisArray = Array.isArray(report) ? report :
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(report.complexityAnalysis || []);
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// Count tasks by complexity
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const highComplexityTasks = analysisArray.filter(t => t.complexityScore >= 8).length;
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const mediumComplexityTasks = analysisArray.filter(t => t.complexityScore >= 5 && t.complexityScore < 8).length;
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const lowComplexityTasks = analysisArray.filter(t => t.complexityScore < 5).length;
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return {
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success: true,
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data: {
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message: `Task complexity analysis complete. Report saved to ${outputPath}`,
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reportPath: outputPath,
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reportSummary: {
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taskCount: analysisArray.length,
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highComplexityTasks,
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mediumComplexityTasks,
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lowComplexityTasks
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}
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}
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};
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} catch (parseError) {
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log.error(`Error parsing report file: ${parseError.message}`);
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return {
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success: false,
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error: {
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code: 'REPORT_PARSE_ERROR',
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message: `Error parsing complexity report: ${parseError.message}`
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}
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};
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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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if (isSilentMode()) {
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disableSilentMode();
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}
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log.error(`Error in analyzeTaskComplexityDirect: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'CORE_FUNCTION_ERROR',
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message: error.message
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}
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};
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}
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}
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const { session } = context; // Only extract session, not reportProgress
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try {
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log.info(`Analyzing task complexity with args: ${JSON.stringify(args)}`);
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// Find the tasks.json path
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const tasksPath = findTasksJsonPath(args, log);
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// Determine output path
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let outputPath = args.output || 'scripts/task-complexity-report.json';
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if (!path.isAbsolute(outputPath) && args.projectRoot) {
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outputPath = path.join(args.projectRoot, outputPath);
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}
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log.info(`Analyzing task complexity from: ${tasksPath}`);
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log.info(`Output report will be saved to: ${outputPath}`);
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if (args.research) {
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log.info('Using Perplexity AI for research-backed complexity analysis');
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}
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// Create options object for analyzeTaskComplexity
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const options = {
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file: tasksPath,
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output: outputPath,
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model: args.model,
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threshold: args.threshold,
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research: args.research === true
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};
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// Enable silent mode to prevent console logs from interfering with JSON response
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const wasSilent = isSilentMode();
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if (!wasSilent) {
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enableSilentMode();
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}
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// Create a logWrapper that matches the expected mcpLog interface as specified in utilities.mdc
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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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try {
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// Call the core function with session and logWrapper as mcpLog
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await analyzeTaskComplexity(options, {
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session,
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mcpLog: logWrapper // Use the wrapper instead of passing log directly
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});
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} catch (error) {
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log.error(`Error in analyzeTaskComplexity: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'ANALYZE_ERROR',
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message: `Error running complexity analysis: ${error.message}`
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}
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};
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} finally {
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// Always restore normal logging in finally block, but only if we enabled it
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if (!wasSilent) {
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disableSilentMode();
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}
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}
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// Verify the report file was created
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if (!fs.existsSync(outputPath)) {
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return {
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success: false,
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error: {
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code: 'ANALYZE_ERROR',
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message: 'Analysis completed but no report file was created'
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}
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};
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}
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// Read the report file
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let report;
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try {
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report = JSON.parse(fs.readFileSync(outputPath, 'utf8'));
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// Important: Handle different report formats
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// The core function might return an array or an object with a complexityAnalysis property
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const analysisArray = Array.isArray(report)
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? report
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: report.complexityAnalysis || [];
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// Count tasks by complexity
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const highComplexityTasks = analysisArray.filter(
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(t) => t.complexityScore >= 8
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).length;
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const mediumComplexityTasks = analysisArray.filter(
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(t) => t.complexityScore >= 5 && t.complexityScore < 8
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).length;
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const lowComplexityTasks = analysisArray.filter(
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(t) => t.complexityScore < 5
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).length;
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return {
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success: true,
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data: {
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message: `Task complexity analysis complete. Report saved to ${outputPath}`,
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reportPath: outputPath,
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reportSummary: {
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taskCount: analysisArray.length,
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highComplexityTasks,
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mediumComplexityTasks,
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lowComplexityTasks
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}
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}
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};
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} catch (parseError) {
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log.error(`Error parsing report file: ${parseError.message}`);
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return {
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success: false,
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error: {
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code: 'REPORT_PARSE_ERROR',
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message: `Error parsing complexity report: ${parseError.message}`
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}
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};
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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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if (isSilentMode()) {
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disableSilentMode();
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}
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log.error(`Error in analyzeTaskComplexityDirect: ${error.message}`);
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return {
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success: false,
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error: {
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code: 'CORE_FUNCTION_ERROR',
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message: error.message
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}
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};
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}
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}
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