fab9d5e1f5
* feat: add detailed statistics and markdown report generation to flattener tool * fix: remove redundant error handling for project root detection
677 lines
24 KiB
JavaScript
677 lines
24 KiB
JavaScript
#!/usr/bin/env node
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const { Command } = require("commander");
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const fs = require("fs-extra");
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const path = require("node:path");
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const process = require("node:process");
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// Modularized components
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const { findProjectRoot } = require("./projectRoot.js");
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const { promptYesNo, promptPath } = require("./prompts.js");
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const {
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discoverFiles,
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filterFiles,
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aggregateFileContents,
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} = require("./files.js");
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const { generateXMLOutput } = require("./xml.js");
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const { calculateStatistics } = require("./stats.js");
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/**
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* Recursively discover all files in a directory
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* @param {string} rootDir - The root directory to scan
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* @returns {Promise<string[]>} Array of file paths
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*/
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/**
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* Parse .gitignore file and return ignore patterns
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* @param {string} gitignorePath - Path to .gitignore file
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* @returns {Promise<string[]>} Array of ignore patterns
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*/
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/**
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* Check if a file is binary using file command and heuristics
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* @param {string} filePath - Path to the file
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* @returns {Promise<boolean>} True if file is binary
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*/
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/**
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* Read and aggregate content from text files
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* @param {string[]} files - Array of file paths
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* @param {string} rootDir - The root directory
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* @param {Object} spinner - Optional spinner instance for progress display
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* @returns {Promise<Object>} Object containing file contents and metadata
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*/
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/**
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* Generate XML output with aggregated file contents using streaming
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* @param {Object} aggregatedContent - The aggregated content object
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* @param {string} outputPath - The output file path
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* @returns {Promise<void>} Promise that resolves when writing is complete
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*/
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/**
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* Calculate statistics for the processed files
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* @param {Object} aggregatedContent - The aggregated content object
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* @param {number} xmlFileSize - The size of the generated XML file in bytes
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* @returns {Object} Statistics object
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*/
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/**
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* Filter files based on .gitignore patterns
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* @param {string[]} files - Array of file paths
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* @param {string} rootDir - The root directory
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* @returns {Promise<string[]>} Filtered array of file paths
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*/
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/**
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* Attempt to find the project root by walking up from startDir
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* Looks for common project markers like .git, package.json, pyproject.toml, etc.
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* @param {string} startDir
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* @returns {Promise<string|null>} project root directory or null if not found
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*/
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const program = new Command();
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program
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.name("bmad-flatten")
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.description("BMad-Method codebase flattener tool")
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.version("1.0.0")
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.option("-i, --input <path>", "Input directory to flatten", process.cwd())
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.option("-o, --output <path>", "Output file path", "flattened-codebase.xml")
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.action(async (options) => {
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let inputDir = path.resolve(options.input);
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let outputPath = path.resolve(options.output);
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// Detect if user explicitly provided -i/--input or -o/--output
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const argv = process.argv.slice(2);
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const userSpecifiedInput = argv.some((a) =>
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a === "-i" || a === "--input" || a.startsWith("--input=")
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);
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const userSpecifiedOutput = argv.some((a) =>
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a === "-o" || a === "--output" || a.startsWith("--output=")
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);
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const noPathArgs = !userSpecifiedInput && !userSpecifiedOutput;
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if (noPathArgs) {
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const detectedRoot = await findProjectRoot(process.cwd());
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const suggestedOutput = detectedRoot
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? path.join(detectedRoot, "flattened-codebase.xml")
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: path.resolve("flattened-codebase.xml");
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if (detectedRoot) {
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const useDefaults = await promptYesNo(
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`Detected project root at "${detectedRoot}". Use it as input and write output to "${suggestedOutput}"?`,
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true,
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);
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if (useDefaults) {
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inputDir = detectedRoot;
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outputPath = suggestedOutput;
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} else {
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inputDir = await promptPath(
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"Enter input directory path",
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process.cwd(),
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);
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outputPath = await promptPath(
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"Enter output file path",
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path.join(inputDir, "flattened-codebase.xml"),
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);
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}
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} else {
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console.log("Could not auto-detect a project root.");
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inputDir = await promptPath(
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"Enter input directory path",
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process.cwd(),
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);
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outputPath = await promptPath(
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"Enter output file path",
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path.join(inputDir, "flattened-codebase.xml"),
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);
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}
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}
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// Ensure output directory exists
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await fs.ensureDir(path.dirname(outputPath));
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try {
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// Verify input directory exists
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if (!await fs.pathExists(inputDir)) {
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console.error(`❌ Error: Input directory does not exist: ${inputDir}`);
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process.exit(1);
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}
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// Import ora dynamically
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const { default: ora } = await import("ora");
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// Start file discovery with spinner
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const discoverySpinner = ora("🔍 Discovering files...").start();
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const files = await discoverFiles(inputDir);
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const filteredFiles = await filterFiles(files, inputDir);
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discoverySpinner.succeed(
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`📁 Found ${filteredFiles.length} files to include`,
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);
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// Process files with progress tracking
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const processingSpinner = ora("📄 Processing files...").start();
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const aggregatedContent = await aggregateFileContents(
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filteredFiles,
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inputDir,
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processingSpinner,
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);
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processingSpinner.succeed(
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`✅ Processed ${aggregatedContent.processedFiles}/${filteredFiles.length} files`,
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);
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if (aggregatedContent.errors.length > 0) {
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console.log(`Errors: ${aggregatedContent.errors.length}`);
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}
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// Generate XML output using streaming
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const xmlSpinner = ora("🔧 Generating XML output...").start();
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await generateXMLOutput(aggregatedContent, outputPath);
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xmlSpinner.succeed("📝 XML generation completed");
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// Calculate and display statistics
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const outputStats = await fs.stat(outputPath);
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const stats = await calculateStatistics(
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aggregatedContent,
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outputStats.size,
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inputDir,
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);
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// Display completion summary
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console.log("\n📊 Completion Summary:");
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console.log(
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`✅ Successfully processed ${filteredFiles.length} files into ${
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path.basename(outputPath)
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}`,
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);
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console.log(`📁 Output file: ${outputPath}`);
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console.log(`📏 Total source size: ${stats.totalSize}`);
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console.log(`📄 Generated XML size: ${stats.xmlSize}`);
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console.log(
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`📝 Total lines of code: ${stats.totalLines.toLocaleString()}`,
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);
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console.log(`🔢 Estimated tokens: ${stats.estimatedTokens}`);
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console.log(
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`📊 File breakdown: ${stats.textFiles} text, ${stats.binaryFiles} binary, ${stats.errorFiles} errors\n`,
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);
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// Ask user if they want detailed stats + markdown report
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const generateDetailed = await promptYesNo(
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"Generate detailed stats (console + markdown) now?",
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true,
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);
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if (generateDetailed) {
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// Additional detailed stats
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console.log("\n📈 Size Percentiles:");
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console.log(
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` Avg: ${
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Math.round(stats.avgFileSize).toLocaleString()
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} B, Median: ${
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Math.round(stats.medianFileSize).toLocaleString()
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} B, p90: ${stats.p90.toLocaleString()} B, p95: ${stats.p95.toLocaleString()} B, p99: ${stats.p99.toLocaleString()} B`,
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);
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if (Array.isArray(stats.histogram) && stats.histogram.length) {
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console.log("\n🧮 Size Histogram:");
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for (const b of stats.histogram.slice(0, 2)) {
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console.log(
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` ${b.label}: ${b.count} files, ${b.bytes.toLocaleString()} bytes`,
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);
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}
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if (stats.histogram.length > 2) {
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console.log(` … and ${stats.histogram.length - 2} more buckets`);
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}
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}
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if (Array.isArray(stats.byExtension) && stats.byExtension.length) {
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const topExt = stats.byExtension.slice(0, 2);
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console.log("\n📦 Top Extensions:");
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for (const e of topExt) {
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const pct = stats.totalBytes
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? ((e.bytes / stats.totalBytes) * 100)
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: 0;
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console.log(
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` ${e.ext}: ${e.count} files, ${e.bytes.toLocaleString()} bytes (${
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pct.toFixed(2)
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}%)`,
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);
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}
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if (stats.byExtension.length > 2) {
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console.log(
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` … and ${stats.byExtension.length - 2} more extensions`,
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);
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}
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}
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if (Array.isArray(stats.byDirectory) && stats.byDirectory.length) {
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const topDir = stats.byDirectory.slice(0, 2);
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console.log("\n📂 Top Directories:");
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for (const d of topDir) {
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const pct = stats.totalBytes
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? ((d.bytes / stats.totalBytes) * 100)
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: 0;
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console.log(
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` ${d.dir}: ${d.count} files, ${d.bytes.toLocaleString()} bytes (${
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pct.toFixed(2)
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}%)`,
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);
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}
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if (stats.byDirectory.length > 2) {
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console.log(
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` … and ${stats.byDirectory.length - 2} more directories`,
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);
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}
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}
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if (
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Array.isArray(stats.depthDistribution) &&
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stats.depthDistribution.length
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) {
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console.log("\n🌳 Depth Distribution:");
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const dd = stats.depthDistribution.slice(0, 2);
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let line = " " + dd.map((d) => `${d.depth}:${d.count}`).join(" ");
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if (stats.depthDistribution.length > 2) {
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line += ` … +${stats.depthDistribution.length - 2} more`;
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}
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console.log(line);
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}
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if (Array.isArray(stats.longestPaths) && stats.longestPaths.length) {
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console.log("\n🧵 Longest Paths:");
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for (const p of stats.longestPaths.slice(0, 2)) {
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console.log(
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` ${p.path} (${p.length} chars, ${p.size.toLocaleString()} bytes)`,
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);
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}
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if (stats.longestPaths.length > 2) {
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console.log(` … and ${stats.longestPaths.length - 2} more paths`);
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}
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}
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if (stats.temporal) {
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console.log("\n⏱️ Temporal:");
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if (stats.temporal.oldest) {
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console.log(
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` Oldest: ${stats.temporal.oldest.path} (${stats.temporal.oldest.mtime})`,
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);
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}
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if (stats.temporal.newest) {
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console.log(
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` Newest: ${stats.temporal.newest.path} (${stats.temporal.newest.mtime})`,
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);
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}
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if (Array.isArray(stats.temporal.ageBuckets)) {
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console.log(" Age buckets:");
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for (const b of stats.temporal.ageBuckets.slice(0, 2)) {
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console.log(
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` ${b.label}: ${b.count} files, ${b.bytes.toLocaleString()} bytes`,
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);
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}
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if (stats.temporal.ageBuckets.length > 2) {
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console.log(
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` … and ${
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stats.temporal.ageBuckets.length - 2
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} more buckets`,
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);
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}
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}
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}
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if (stats.quality) {
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console.log("\n✅ Quality Signals:");
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console.log(` Zero-byte files: ${stats.quality.zeroByteFiles}`);
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console.log(` Empty text files: ${stats.quality.emptyTextFiles}`);
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console.log(` Hidden files: ${stats.quality.hiddenFiles}`);
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console.log(` Symlinks: ${stats.quality.symlinks}`);
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console.log(
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` Large files (>= ${
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(stats.quality.largeThreshold / (1024 * 1024)).toFixed(0)
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} MB): ${stats.quality.largeFilesCount}`,
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);
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console.log(
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` Suspiciously large files (>= 100 MB): ${stats.quality.suspiciousLargeFilesCount}`,
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);
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}
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if (
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Array.isArray(stats.duplicateCandidates) &&
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stats.duplicateCandidates.length
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) {
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console.log("\n🧬 Duplicate Candidates:");
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for (const d of stats.duplicateCandidates.slice(0, 2)) {
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console.log(
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` ${d.reason}: ${d.count} files @ ${d.size.toLocaleString()} bytes`,
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);
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}
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if (stats.duplicateCandidates.length > 2) {
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console.log(
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` … and ${stats.duplicateCandidates.length - 2} more groups`,
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);
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}
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}
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if (typeof stats.compressibilityRatio === "number") {
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console.log(
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`\n🗜️ Compressibility ratio (sampled): ${
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(stats.compressibilityRatio * 100).toFixed(2)
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}%`,
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);
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}
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if (stats.git && stats.git.isRepo) {
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console.log("\n🔧 Git:");
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console.log(
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` Tracked: ${stats.git.trackedCount} files, ${stats.git.trackedBytes.toLocaleString()} bytes`,
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);
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console.log(
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` Untracked: ${stats.git.untrackedCount} files, ${stats.git.untrackedBytes.toLocaleString()} bytes`,
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);
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if (
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Array.isArray(stats.git.lfsCandidates) &&
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stats.git.lfsCandidates.length
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) {
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console.log(" LFS candidates (top 2):");
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for (const f of stats.git.lfsCandidates.slice(0, 2)) {
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console.log(` ${f.path} (${f.size.toLocaleString()} bytes)`);
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}
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if (stats.git.lfsCandidates.length > 2) {
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console.log(
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` … and ${stats.git.lfsCandidates.length - 2} more`,
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);
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}
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}
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}
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if (Array.isArray(stats.largestFiles) && stats.largestFiles.length) {
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console.log("\n📚 Largest Files (top 2):");
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for (const f of stats.largestFiles.slice(0, 2)) {
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// Show LOC for text files when available; omit ext and mtime
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let locStr = "";
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if (!f.isBinary && Array.isArray(aggregatedContent?.textFiles)) {
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const tf = aggregatedContent.textFiles.find((t) =>
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t.path === f.path
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);
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if (tf && typeof tf.lines === "number") {
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locStr = `, LOC: ${tf.lines.toLocaleString()}`;
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}
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}
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console.log(
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` ${f.path} – ${f.sizeFormatted} (${
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f.percentOfTotal.toFixed(2)
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}%)${locStr}`,
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);
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}
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if (stats.largestFiles.length > 2) {
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console.log(` … and ${stats.largestFiles.length - 2} more files`);
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}
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}
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// Write a comprehensive markdown report next to the XML
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{
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const mdPath = outputPath.endsWith(".xml")
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? outputPath.replace(/\.xml$/i, ".stats.md")
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: outputPath + ".stats.md";
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try {
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const pct = (num, den) => (den ? ((num / den) * 100) : 0);
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const md = [];
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md.push(`# 🧾 Flatten Stats for ${path.basename(outputPath)}`);
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md.push("");
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md.push("## 📊 Summary");
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md.push(`- Total source size: ${stats.totalSize}`);
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md.push(`- Generated XML size: ${stats.xmlSize}`);
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md.push(
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`- Total lines of code: ${stats.totalLines.toLocaleString()}`,
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);
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md.push(`- Estimated tokens: ${stats.estimatedTokens}`);
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md.push(
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`- File breakdown: ${stats.textFiles} text, ${stats.binaryFiles} binary, ${stats.errorFiles} errors`,
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);
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md.push("");
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// Percentiles
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md.push("## 📈 Size Percentiles");
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md.push(
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`Avg: ${
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Math.round(stats.avgFileSize).toLocaleString()
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} B, Median: ${
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Math.round(stats.medianFileSize).toLocaleString()
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} B, p90: ${stats.p90.toLocaleString()} B, p95: ${stats.p95.toLocaleString()} B, p99: ${stats.p99.toLocaleString()} B`,
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);
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md.push("");
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// Histogram
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if (Array.isArray(stats.histogram) && stats.histogram.length) {
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md.push("## 🧮 Size Histogram");
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md.push("| Bucket | Files | Bytes |");
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md.push("| --- | ---: | ---: |");
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for (const b of stats.histogram) {
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md.push(
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`| ${b.label} | ${b.count} | ${b.bytes.toLocaleString()} |`,
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);
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}
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md.push("");
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}
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// Top Extensions
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if (Array.isArray(stats.byExtension) && stats.byExtension.length) {
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md.push("## 📦 Top Extensions by Bytes (Top 20)");
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md.push("| Ext | Files | Bytes | % of total |");
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md.push("| --- | ---: | ---: | ---: |");
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for (const e of stats.byExtension.slice(0, 20)) {
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const p = pct(e.bytes, stats.totalBytes);
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md.push(
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`| ${e.ext} | ${e.count} | ${e.bytes.toLocaleString()} | ${
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p.toFixed(2)
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}% |`,
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);
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}
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md.push("");
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}
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// Top Directories
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if (Array.isArray(stats.byDirectory) && stats.byDirectory.length) {
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md.push("## 📂 Top Directories by Bytes (Top 20)");
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md.push("| Directory | Files | Bytes | % of total |");
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md.push("| --- | ---: | ---: | ---: |");
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for (const d of stats.byDirectory.slice(0, 20)) {
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const p = pct(d.bytes, stats.totalBytes);
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md.push(
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`| ${d.dir} | ${d.count} | ${d.bytes.toLocaleString()} | ${
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p.toFixed(2)
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}% |`,
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);
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}
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md.push("");
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}
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// Depth distribution
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if (
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Array.isArray(stats.depthDistribution) &&
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stats.depthDistribution.length
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) {
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md.push("## 🌳 Depth Distribution");
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md.push("| Depth | Count |");
|
||
md.push("| ---: | ---: |");
|
||
for (const d of stats.depthDistribution) {
|
||
md.push(`| ${d.depth} | ${d.count} |`);
|
||
}
|
||
md.push("");
|
||
}
|
||
|
||
// Longest paths
|
||
if (
|
||
Array.isArray(stats.longestPaths) && stats.longestPaths.length
|
||
) {
|
||
md.push("## 🧵 Longest Paths (Top 25)");
|
||
md.push("| Path | Length | Bytes |");
|
||
md.push("| --- | ---: | ---: |");
|
||
for (const pth of stats.longestPaths) {
|
||
md.push(
|
||
`| ${pth.path} | ${pth.length} | ${pth.size.toLocaleString()} |`,
|
||
);
|
||
}
|
||
md.push("");
|
||
}
|
||
|
||
// Temporal
|
||
if (stats.temporal) {
|
||
md.push("## ⏱️ Temporal");
|
||
if (stats.temporal.oldest) {
|
||
md.push(
|
||
`- Oldest: ${stats.temporal.oldest.path} (${stats.temporal.oldest.mtime})`,
|
||
);
|
||
}
|
||
if (stats.temporal.newest) {
|
||
md.push(
|
||
`- Newest: ${stats.temporal.newest.path} (${stats.temporal.newest.mtime})`,
|
||
);
|
||
}
|
||
if (Array.isArray(stats.temporal.ageBuckets)) {
|
||
md.push("");
|
||
md.push("| Age | Files | Bytes |");
|
||
md.push("| --- | ---: | ---: |");
|
||
for (const b of stats.temporal.ageBuckets) {
|
||
md.push(
|
||
`| ${b.label} | ${b.count} | ${b.bytes.toLocaleString()} |`,
|
||
);
|
||
}
|
||
}
|
||
md.push("");
|
||
}
|
||
|
||
// Quality signals
|
||
if (stats.quality) {
|
||
md.push("## ✅ Quality Signals");
|
||
md.push(`- Zero-byte files: ${stats.quality.zeroByteFiles}`);
|
||
md.push(`- Empty text files: ${stats.quality.emptyTextFiles}`);
|
||
md.push(`- Hidden files: ${stats.quality.hiddenFiles}`);
|
||
md.push(`- Symlinks: ${stats.quality.symlinks}`);
|
||
md.push(
|
||
`- Large files (>= ${
|
||
(stats.quality.largeThreshold / (1024 * 1024)).toFixed(0)
|
||
} MB): ${stats.quality.largeFilesCount}`,
|
||
);
|
||
md.push(
|
||
`- Suspiciously large files (>= 100 MB): ${stats.quality.suspiciousLargeFilesCount}`,
|
||
);
|
||
md.push("");
|
||
}
|
||
|
||
// Duplicates
|
||
if (
|
||
Array.isArray(stats.duplicateCandidates) &&
|
||
stats.duplicateCandidates.length
|
||
) {
|
||
md.push("## 🧬 Duplicate Candidates");
|
||
md.push("| Reason | Files | Size (bytes) |");
|
||
md.push("| --- | ---: | ---: |");
|
||
for (const d of stats.duplicateCandidates) {
|
||
md.push(
|
||
`| ${d.reason} | ${d.count} | ${d.size.toLocaleString()} |`,
|
||
);
|
||
}
|
||
md.push("");
|
||
// Detailed listing of duplicate file names and locations
|
||
md.push("### 🧬 Duplicate Groups Details");
|
||
let dupIndex = 1;
|
||
for (const d of stats.duplicateCandidates) {
|
||
md.push(
|
||
`#### Group ${dupIndex}: ${d.count} files @ ${d.size.toLocaleString()} bytes (${d.reason})`,
|
||
);
|
||
if (Array.isArray(d.files) && d.files.length) {
|
||
for (const fp of d.files) {
|
||
md.push(`- ${fp}`);
|
||
}
|
||
} else {
|
||
md.push("- (file list unavailable)");
|
||
}
|
||
md.push("");
|
||
dupIndex++;
|
||
}
|
||
md.push("");
|
||
}
|
||
|
||
// Compressibility
|
||
if (typeof stats.compressibilityRatio === "number") {
|
||
md.push("## 🗜️ Compressibility");
|
||
md.push(
|
||
`Sampled compressibility ratio: ${
|
||
(stats.compressibilityRatio * 100).toFixed(2)
|
||
}%`,
|
||
);
|
||
md.push("");
|
||
}
|
||
|
||
// Git
|
||
if (stats.git && stats.git.isRepo) {
|
||
md.push("## 🔧 Git");
|
||
md.push(
|
||
`- Tracked: ${stats.git.trackedCount} files, ${stats.git.trackedBytes.toLocaleString()} bytes`,
|
||
);
|
||
md.push(
|
||
`- Untracked: ${stats.git.untrackedCount} files, ${stats.git.untrackedBytes.toLocaleString()} bytes`,
|
||
);
|
||
if (
|
||
Array.isArray(stats.git.lfsCandidates) &&
|
||
stats.git.lfsCandidates.length
|
||
) {
|
||
md.push("");
|
||
md.push("### 📦 LFS Candidates (Top 20)");
|
||
md.push("| Path | Bytes |");
|
||
md.push("| --- | ---: |");
|
||
for (const f of stats.git.lfsCandidates.slice(0, 20)) {
|
||
md.push(`| ${f.path} | ${f.size.toLocaleString()} |`);
|
||
}
|
||
}
|
||
md.push("");
|
||
}
|
||
|
||
// Largest Files
|
||
if (
|
||
Array.isArray(stats.largestFiles) && stats.largestFiles.length
|
||
) {
|
||
md.push("## 📚 Largest Files (Top 50)");
|
||
md.push("| Path | Size | % of total | LOC |");
|
||
md.push("| --- | ---: | ---: | ---: |");
|
||
for (const f of stats.largestFiles) {
|
||
let loc = "";
|
||
if (
|
||
!f.isBinary && Array.isArray(aggregatedContent?.textFiles)
|
||
) {
|
||
const tf = aggregatedContent.textFiles.find((t) =>
|
||
t.path === f.path
|
||
);
|
||
if (tf && typeof tf.lines === "number") {
|
||
loc = tf.lines.toLocaleString();
|
||
}
|
||
}
|
||
md.push(
|
||
`| ${f.path} | ${f.sizeFormatted} | ${
|
||
f.percentOfTotal.toFixed(2)
|
||
}% | ${loc} |`,
|
||
);
|
||
}
|
||
md.push("");
|
||
}
|
||
|
||
await fs.writeFile(mdPath, md.join("\n"));
|
||
console.log(`\n🧾 Detailed stats report written to: ${mdPath}`);
|
||
} catch (e) {
|
||
console.warn(`⚠️ Failed to write stats markdown: ${e.message}`);
|
||
}
|
||
}
|
||
}
|
||
} catch (error) {
|
||
console.error("❌ Critical error:", error.message);
|
||
console.error("An unexpected error occurred.");
|
||
process.exit(1);
|
||
}
|
||
});
|
||
|
||
if (require.main === module) {
|
||
program.parse();
|
||
}
|
||
|
||
module.exports = program;
|