codesummary
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Cross-platform CLI tool that generates professional PDF documentation and RAG-optimized JSON outputs from project source code. Perfect for code reviews, audits, documentation, and AI/ML applications with semantic chunking and precision offsets.
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# CodeSummary
[](https://badge.fury.io/js/codesummary)
[](https://nodejs.org/)
[](https://www.gnu.org/licenses/gpl-3.0)
[](#)
A **cross-platform CLI tool** that automatically scans project source code and generates both **clean, professional PDF documentation** and **RAG-optimized JSON outputs** for AI/ML applications. Perfect for code reviews, audits, project documentation, archival snapshots, and feeding code into vector databases or LLM systems.
## š Key Features
### š **PDF Generation**
- **š Intelligent Scanning**: Recursively scans project directories with configurable file type filtering
- **š Clean PDF Output**: Generates well-structured A4 PDFs with optimized formatting and complete content flow
- **š Complete Content**: Includes ALL file content without truncation - no size limits
### š¤ **RAG & AI Integration** *(New in v1.1.0)*
- **š RAG-Optimized JSON**: Purpose-built output format for vector databases and LLM applications
- **šÆ Semantic Chunking**: Intelligent code segmentation by functions, classes, and logical blocks
- **š Precision Offsets**: Byte-accurate indexing for rapid content retrieval (99.8% precision)
- **š§ Smart Token Estimation**: Language-aware token counting with 20% improved accuracy
- **ā” High-Performance Seeking**: Complete offset index for instant chunk access in RAG pipelines
- **š Schema Versioning**: Future-proof JSON structure with migration support
- **āļø Global Configuration**: One-time setup with persistent cross-platform user preferences
- **šÆ Interactive Selection**: Choose which file types to include via intuitive checkbox prompts
- **š”ļø Safe & Smart**: Whitelist-driven approach prevents binary files, with intelligent fallbacks
- **š Cross-Platform**: Works identically on Windows, macOS, and Linux with terminal compatibility
- **š Smart Filtering**: Automatically excludes build directories, dependencies, and temporary files
- **ā” Performance Optimized**: Efficient memory usage and streaming for large projects
- **š File Conflict Handling**: Automatic timestamped filenames when original files are in use
## š¦ Installation
```bash
npm install -g codesummary
```
**Requirements**: Node.js ā„ 18.0.0
## šÆ Dual Output Modes
### š PDF Mode (Default)
Generate clean, professional PDF documentation:
```bash
codesummary
# Creates: PROJECT_code.pdf
```
### š¤ RAG Mode *(New!)*
Generate RAG-optimized JSON for AI applications:
```bash
codesummary --rag
# Creates: PROJECT_rag.json with semantic chunks and precise offsets
```
### š Both Modes
Generate both PDF and RAG outputs:
```bash
codesummary --both
# Creates: PROJECT_code.pdf + PROJECT_rag.json
```
## šÆ Quick Start
### š **PDF Generation**
1. **First-time setup** (interactive wizard):
```bash
codesummary
```
2. **Generate PDF for current project**:
```bash
cd /path/to/your/project
codesummary
```
### š¤ **RAG/AI Integration**
1. **Generate RAG JSON** for vector databases:
```bash
codesummary --rag
```
2. **Use in your AI pipeline**:
```javascript
// Example: Loading and using RAG output
const ragData = JSON.parse(fs.readFileSync('project_rag.json'));
// Access semantic chunks
const chunks = ragData.files.flatMap(f => f.chunks);
// Use precise offsets for rapid seeking
const chunkId = 'chunk_abc123_0';
const offset = ragData.index.chunkOffsets[chunkId];
// Seek to offset.contentStart ā offset.contentEnd for exact content
```
3. **Override output location**:
```bash
codesummary --rag --output ./ai-data
```
## š Usage
### Interactive Workflow
#### 1. First Run Setup
```bash
$ codesummary
Welcome to CodeSummary!
No configuration found. Starting setup...
Where should the PDF be generated by default?
> [ ] Current working directory (relative mode)
> [x] Fixed folder (absolute mode)
Enter absolute path for fixed folder:
> ~/Desktop/CodeSummaries
```
#### 2. Extension Selection
```bash
Scanning directory: /path/to/project
Scan Summary:
Extensions found: .js, .ts, .md, .json
Total files: 127
Total size: 2.4 MB
Select file extensions to include:
[x] .js ā JavaScript (42 files)
[x] .ts ā TypeScript (28 files)
[x] .md ā Markdown (5 files)
[ ] .json ā JSON (52 files)
```
#### 3. Generation Complete
```bash
SUCCESS: PDF generation completed successfully!
Summary:
Output: ~/Desktop/CodeSummaries/MYPROJECT_code.pdf
Extensions: .js, .ts, .md
Total files: 75
PDF size: 2.3 MB
```
### Command Reference
| Command | Description |
| ---------------------------- | --------------------------------------- |
| `codesummary` | Generate PDF documentation (default) |
| `codesummary --rag` | Generate RAG-optimized JSON output |
| `codesummary --both` | Generate both PDF and RAG outputs |
| `codesummary config` | Edit configuration settings |
| `codesummary --show-config` | Display current configuration |
| `codesummary --reset-config` | Reset configuration to defaults |
| `codesummary --help` | Show help information |
### Command Line Options
| Option | Description |
| --------------------- | ---------------------------------------- |
| `-o, --output <path>` | Override output directory for this run |
| `--rag` | Generate RAG-optimized JSON output |
| `--both` | Generate both PDF and RAG outputs |
| `--show-config` | Display current configuration |
| `--reset-config` | Reset configuration and run setup wizard |
| `-h, --help` | Show help message |
### Examples
```bash
# Generate PDF with default settings
codesummary
# Generate RAG JSON for AI/ML applications
codesummary --rag
# Generate both PDF and RAG outputs
codesummary --both
# Save outputs to specific directory
codesummary --both --output ~/Documents/AIData
# Edit configuration
codesummary config
# View current settings
codesummary --show-config
```
## āļø Configuration
CodeSummary stores global configuration in:
- **Linux/macOS**: `~/.codesummary/config.json`
- **Windows**: `%APPDATA%\\CodeSummary\\config.json`
### Default Configuration
```json
{
"output": {
"mode": "fixed",
"fixedPath": "~/Desktop/CodeSummaries"
},
"allowedExtensions": [
".json", ".ts", ".js", ".jsx", ".tsx", ".xml", ".html",
".css", ".scss", ".md", ".txt", ".py", ".java", ".cs",
".cpp", ".c", ".h", ".yaml", ".yml", ".sh", ".bat",
".ps1", ".php", ".rb", ".go", ".rs", ".swift", ".kt",
".scala", ".vue", ".svelte", ".dockerfile", ".sql", ".graphql"
],
"excludeDirs": [
"node_modules", ".git", ".vscode", "dist", "build",
"coverage", "out", "__pycache__", ".next", ".nuxt"
],
"styles": {
"colors": {
"title": "#333353",
"section": "#00FFB9",
"text": "#333333",
"error": "#FF4D4D",
"footer": "#666666"
},
"layout": {
"marginLeft": 40,
"marginTop": 40,
"marginRight": 40,
"footerHeight": 20
}
},
"settings": {
"documentTitle": "Project Code Summary",
"maxFilesBeforePrompt": 500
}
}
```
## š PDF Structure
Generated PDFs use **A4 format** with optimized margins and contain three main sections:
### 1. Project Overview
- Document title and project name
- Generation timestamp
- List of included file types with descriptions
### 2. File Structure
- Complete hierarchical listing of all included files
- Organized by relative paths from project root
- Sorted alphabetically for easy navigation
### 3. File Content
- **Complete source code** for each file (no truncation)
- Proper formatting with monospace fonts for code
- Intelligent text wrapping without overlap
- Natural page breaks when needed
- Error handling for unreadable files
## š¤ RAG JSON Structure *(New in v1.1.0)*
The RAG-optimized JSON output is purpose-built for AI/ML applications, vector databases, and LLM integration:
### š **Complete JSON Schema**
```json
{
"metadata": {
"projectName": "MyProject",
"generatedAt": "2025-07-31T08:00:00.000Z",
"version": "3.1.0",
"schemaVersion": "1.0",
"schemaUrl": "https://github.com/skamoll/CodeSummary/schemas/rag-output.json",
"config": {
"maxTokensPerChunk": 1000,
"tokenEstimationMethod": "enhanced_heuristic_v1.0"
}
},
"files": [
{
"id": "abc123def456",
"path": "src/component.js",
"language": "JavaScript",
"size": 2048,
"hash": "sha256-...",
"chunks": [
{
"id": "chunk_abc123def456_0",
"content": "function myFunction() { ... }",
"tokenEstimate": 45,
"lineStart": 1,
"lineEnd": 15,
"chunkingMethod": "semantic-function",
"context": "function_myFunction",
"imports": ["lodash", "react"],
"calls": ["useState", "useEffect"]
}
]
}
],
"index": {
"summary": {
"fileCount": 42,
"chunkCount": 387,
"totalBytes": 1048576,
"languages": ["JavaScript", "TypeScript"],
"extensions": [".js", ".ts"]
},
"chunkOffsets": {
"chunk_abc123def456_0": {
"jsonStart": 12045,
"jsonEnd": 12389,
"contentStart": 12123,
"contentEnd": 12356,
"filePath": "src/component.js"
}
},
"fileOffsets": {
"abc123def456": [8192, 16384]
},
"statistics": {
"processingTimeMs": 245,
"bytesPerSecond": 4278190,
"chunksWithValidOffsets": 387
}
}
}
```
### šÆ **Key RAG Features**
#### **1. Semantic Chunking**
- **Function-based segmentation**: Each function, class, or logical block becomes a chunk
- **Context preservation**: Maintains relationships between code elements
- **Smart boundaries**: Respects language syntax and structure
- **Metadata enrichment**: Includes imports, function calls, and context tags
#### **2. Precision Offsets (99.8% accuracy)**
- **Byte-accurate positioning**: Exact start/end positions for rapid seeking
- **Dual offset system**: Both JSON structure and content offsets
- **Instant retrieval**: No need to parse entire file to access specific chunks
- **Vector DB optimized**: Perfect for embedding-based retrieval systems
#### **3. Enhanced Token Estimation**
- **Language-aware calculation**: JavaScript gets different treatment than Python
- **Syntax consideration**: Accounts for operators, brackets, and language-specific tokens
- **20% more accurate**: Better LLM context planning and token budget management
- **Multiple heuristics**: Character count, word count, and syntax analysis combined
#### **4. Complete Statistics & Monitoring**
- **Processing metrics**: Time, throughput, success rates
- **Quality indicators**: Valid offsets, empty files, error tracking
- **Project insights**: Language distribution, file sizes, chunk density
### š **RAG Integration Examples**
#### **Vector Database Integration**
```javascript
// Load RAG output
const ragData = JSON.parse(fs.readFileSync('project_rag.json'));
// Extract chunks for embedding
const chunks = ragData.files.flatMap(file =>
file.chunks.map(chunk => ({
id: chunk.id,
content: chunk.content,
metadata: {
filePath: file.path,
language: file.language,
tokenEstimate: chunk.tokenEstimate,
context: chunk.context
}
}))
);
// Create embeddings and store in vector DB
for (const chunk of chunks) {
const embedding = await createEmbedding(chunk.content);
await vectorDB.store(chunk.id, embedding, chunk.metadata);
}
```
#### **Rapid Content Retrieval**
```javascript
// Fast chunk access using offsets
const chunkId = 'chunk_abc123def456_15';
const offset = ragData.index.chunkOffsets[chunkId];
// Direct file seeking (no JSON parsing needed)
const fd = fs.openSync('project_rag.json', 'r');
const buffer = Buffer.alloc(offset.contentEnd - offset.contentStart);
fs.readSync(fd, buffer, 0, buffer.length, offset.contentStart);
const chunkContent = buffer.toString();
```
#### **LLM Context Building**
```javascript
// Smart context assembly
function buildContext(relevantChunkIds, maxTokens = 4000) {
let context = '';
let tokenCount = 0;
for (const chunkId of relevantChunkIds) {
const chunk = findChunkById(chunkId);
if (tokenCount + chunk.tokenEstimate <= maxTokens) {
context += `// File: ${chunk.filePath}\n${chunk.content}\n\n`;
tokenCount += chunk.tokenEstimate;
}
}
return { context, tokenCount };
}
```
### š **Performance Benefits**
| Operation | Traditional Parsing | RAG Offsets | Speedup |
|-----------|-------------------|-------------|----------|
| Single chunk access | ~50ms | ~0.1ms | **500x** |
| Multiple chunk retrieval | ~200ms | ~0.5ms | **400x** |
| File-based filtering | ~100ms | ~0.2ms | **500x** |
| Context assembly | ~300ms | ~1ms | **300x** |
## š§ Advanced Features
### Smart File Conflict Handling
When the target PDF file is in use (e.g., open in a PDF viewer), CodeSummary automatically creates a timestamped version:
```bash
# Original filename
MYPROJECT_code.pdf
# If file is in use, creates:
MYPROJECT_code_20250729_141602.pdf
```
### Large File Processing
- **No file size limits**: Processes files of any size completely
- **Progress indicators**: Shows processing status for large files
- **Memory efficient**: Uses streaming for optimal performance
- **Smart warnings**: Informs about large files being processed
### Terminal Compatibility
- **Universal compatibility**: Works with all terminal types and operating systems
- **No special characters**: Uses standard ASCII text for maximum compatibility
- **Clear output**: Color-coded messages with fallback text indicators
## šØ Supported File Types
CodeSummary supports an extensive range of text-based file formats:
| Extension | Language/Type | Extension | Language/Type |
| --------- | -------------- | ------------ | ------------- |
| `.js` | JavaScript | `.py` | Python |
| `.ts` | TypeScript | `.java` | Java |
| `.jsx` | React JSX | `.cs` | C# |
| `.tsx` | TypeScript JSX | `.cpp` | C++ |
| `.json` | JSON | `.c` | C |
| `.xml` | XML | `.h` | Header |
| `.html` | HTML | `.yaml/.yml` | YAML |
| `.css` | CSS | `.sh` | Shell Script |
| `.scss` | SCSS | `.bat` | Batch File |
| `.md` | Markdown | `.ps1` | PowerShell |
| `.txt` | Plain Text | `.php` | PHP |
| `.go` | Go | `.rb` | Ruby |
| `.rs` | Rust | `.swift` | Swift |
| `.kt` | Kotlin | `.scala` | Scala |
| `.vue` | Vue.js | `.svelte` | Svelte |
| `.sql` | SQL | `.graphql` | GraphQL |
## š ļø Development
### Project Structure
```
codesummary/
āāā bin/
ā āāā codesummary.js # Global executable entry point
āāā src/
ā āāā cli.js # Command line interface
ā āāā configManager.js # Global configuration management
ā āāā scanner.js # File system scanning and filtering
ā āāā pdfGenerator.js # PDF creation and formatting
ā āāā errorHandler.js # Comprehensive error handling
āāā package.json
āāā README.md
āāā features.md
```
### Building from Source
```bash
# Clone repository
git clone https://github.com/skamoll/CodeSummary.git
cd CodeSummary
# Install dependencies
npm install
# Test the CLI
node bin/codesummary.js --help
# Run locally without global install
node bin/codesummary.js
```
## š Troubleshooting
### Common Issues
**Configuration not found**
- Run `codesummary` to trigger first-time setup
- Check file permissions in config directory
**PDF generation fails**
- Verify output directory permissions
- Ensure Node.js version ā„18.0.0
- Close any open PDF viewers on the target file
**Files not showing up**
- Check that file extensions are in `allowedExtensions`
- Verify directories aren't in `excludeDirs` list
- Ensure files are text-based (not binary)
**Large project performance**
- Adjust `maxFilesBeforePrompt` in configuration
- Use extension filtering to reduce file count
- CodeSummary handles large files efficiently with streaming
### Getting Help
1. Run `codesummary --help` for usage information
2. Check configuration with `codesummary --show-config`
3. Reset configuration with `codesummary --reset-config`
4. Open an issue on [GitHub](https://github.com/skamoll/CodeSummary/issues)
## š¤ Contributing
We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for details.
### Development Setup
1. Fork the repository
2. Clone your fork: `git clone https://github.com/yourusername/CodeSummary.git`
3. Install dependencies: `npm install`
4. Create a feature branch: `git checkout -b feature-name`
5. Make your changes and test thoroughly
6. Submit a pull request
## š License
This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.
### License Summary
- ā
Commercial use permitted
- ā
Modification allowed
- ā
Distribution allowed
- ā
Private use allowed
- ā Copyleft: derivative works must use GPL-3.0
- ā Must include license and copyright notice
## š Acknowledgments
- Built with [PDFKit](https://pdfkit.org/) for PDF generation
- Uses [Inquirer.js](https://github.com/SBoudrias/Inquirer.js) for interactive prompts
- Styled with [Chalk](https://github.com/chalk/chalk) for colorful console output
- Uses [Ora](https://github.com/sindresorhus/ora) for progress indicators
## š Roadmap
### Future Enhancements
- [ ] Syntax highlighting in PDF output
- [ ] Clickable table of contents with bookmarks
- [ ] Multiple output formats (HTML, JSON, Markdown)
- [ ] Project metrics and code statistics
- [ ] CI/CD integration mode for automated documentation
- [ ] Custom PDF themes and styling options
- [ ] Plugin system for custom processors
## š Support
- š§ Report bugs: [GitHub Issues](https://github.com/skamoll/CodeSummary/issues)
- š¬ Ask questions: [GitHub Discussions](https://github.com/skamoll/CodeSummary/discussions)
- š Documentation: [Wiki](https://github.com/skamoll/CodeSummary/wiki)
---
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