Smart Tree - ST

# Smart Tree as a Public Rust Crate ## Current State Analysis Smart-tree is already structured as a library with a binary! The `src/lib.rs` exposes the core functionality, making it ready for use as a crate with minimal changes. ## Publishing Plan ### 1. Rename Package for Crates.io ```toml [package] name = "smart-tree" # Change from "st" to avoid conflicts version = "3.2.0" ``` Keep the binary name as `st`: ```toml [[bin]] name = "st" path = "src/main.rs" ``` ### 2. Library Structure (Already Good!) Current `src/lib.rs` already exposes: - Scanner and ScannerConfig - All formatters - File analysis types - MCP server components ### 3. Feature Flags for Optional Dependencies ```toml [features] default = ["cli", "mcp"] cli = ["clap", "clap_complete", "clap_mangen", "colored", "indicatif"] mcp = ["tokio", "async-trait", "futures", "dashmap"] core = [] # Just the core scanning and formatting # Allow users to pick formatters all-formatters = ["quantum", "semantic", "mermaid"] quantum = [] semantic = [] mermaid = ["termimad"] ``` ### 4. Clean Library API Create a cleaner high-level API in `src/lib.rs`: ```rust // High-level convenience API pub mod prelude { pub use crate::{ Scanner, ScannerConfig, TreeStats, FileNode, FileCategory, FilesystemType, formatters::{Formatter, StreamingFormatter}, }; } // Easy-to-use functions pub fn scan_directory(path: impl AsRef<Path>) -> Result<Vec<FileNode>> { Scanner::new(ScannerConfig::default()).scan(path) } pub fn quick_tree(path: impl AsRef<Path>, depth: usize) -> Result<String> { let config = ScannerConfig { max_depth: depth, ..Default::default() }; let nodes = Scanner::new(config).scan(path)?; let formatter = SummaryAiFormatter::new(); formatter.format(&nodes) } pub fn analyze_project(path: impl AsRef<Path>) -> Result<ProjectAnalysis> { // High-level project analysis } ``` ### 5. Example Usage in Other Projects ```rust // Cargo.toml [dependencies] smart-tree = "4.0.0" // main.rs use smart_tree::prelude::*; use smart_tree::formatters::ai::AiFormatter; fn main() -> Result<()> { // Simple directory scan let files = smart_tree::scan_directory(".")?; // Custom formatting let formatter = AiFormatter::new(); let output = formatter.format(&files)?; println!("{}", output); // Or use the high-level API let tree = smart_tree::quick_tree(".", 3)?; println!("{}", tree); Ok(()) } ``` ### 6. MCP Server as Optional Feature ```rust // Using smart-tree's MCP server in your app #[cfg(feature = "mcp")] use smart_tree::mcp::{McpServer, McpConfig}; #[cfg(feature = "mcp")] async fn run_mcp_server() { let config = McpConfig::default(); let server = McpServer::new(config); server.run().await.unwrap(); } ``` ### 7. Documentation Requirements 1. **Crate-level docs** in `src/lib.rs`: ```rust //! # Smart Tree //! //! A blazingly fast, AI-friendly directory visualization library. //! //! ## Quick Start //! ``` //! use smart_tree::prelude::*; //! //! let files = smart_tree::scan_directory(".")?; //! let tree = smart_tree::quick_tree(".", 3)?; //! ``` ``` 2. **Module docs** for each major component 3. **Examples** in `examples/` directory 4. **README** updates for crates.io ### 8. Breaking Changes Needed 1. **Separate CLI from Library** - Move CLI-specific code to `src/bin/st.rs` or keep in `main.rs` - Ensure library doesn't depend on CLI features 2. **Clean up Public API** - Hide internal implementation details - Use `pub(crate)` for internal items - Provide builder patterns for complex configs 3. **Error Handling** - Create library-specific error types - Don't expose `anyhow::Error` in public API ### 9. Publishing Checklist - [ ] Rename package to `smart-tree` - [ ] Add feature flags - [ ] Clean up public API - [ ] Add comprehensive docs - [ ] Add examples - [ ] Test as dependency in another project - [ ] Update README for crates.io - [ ] Add CI for testing all feature combinations - [ ] Run `cargo publish --dry-run` - [ ] Publish to crates.io: `cargo publish` ### 10. Versioning Strategy - Current: 3.2.0 - After publishing: Follow semver strictly - Major version bump for breaking API changes - Consider 4.0.0 for the cleaned-up library API ## Benefits of Publishing 1. **Reusable in Other Projects**: Add directory analysis to any Rust project 2. **Custom Formatters**: Users can implement their own formatters 3. **Embedded MCP**: Add MCP directory tools to any application 4. **Building Blocks**: Use Scanner for custom directory operations 5. **AI Integration**: Easy directory analysis for AI applications ## Example: Using in a Build Tool ```rust use smart_tree::{Scanner, ScannerConfig}; use smart_tree::formatters::digest::DigestFormatter; pub fn verify_project_structure() -> Result<()> { let config = ScannerConfig { file_type_filter: Some(vec!["rs", "toml"]), ..Default::default() }; let scanner = Scanner::new(config); let files = scanner.scan(".")?; // Get digest for reproducible builds let formatter = DigestFormatter::new(); let digest = formatter.format(&files)?; println!("Project digest: {}", digest); Ok(()) } ``` This would make smart-tree a powerful building block for other Rust projects!