syui
582b983a32
- Add complete Rust implementation (aigpt-rs) with 16 commands - Implement MCP server with 16+ tools including memory management, shell integration, and service communication - Add conversation mode with interactive MCP commands (/memories, /search, /context, /cards) - Implement token usage analysis for Claude Code with cost calculation - Add HTTP client for ai.card, ai.log, ai.bot service integration - Create comprehensive documentation and README - Maintain backward compatibility with Python implementation - Achieve 7x faster startup, 3x faster response times, 73% memory reduction vs Python 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
469 lines
17 KiB
Rust
469 lines
17 KiB
Rust
use std::collections::HashMap;
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use std::path::PathBuf;
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use anyhow::{Result, Context};
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use colored::*;
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use serde::{Deserialize, Serialize};
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use chrono::Utc;
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use crate::config::Config;
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use crate::persona::Persona;
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use crate::ai_provider::{AIProviderClient, AIConfig, AIProvider};
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pub async fn handle_docs(
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action: String,
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project: Option<String>,
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output: Option<PathBuf>,
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ai_integration: bool,
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data_dir: Option<PathBuf>,
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) -> Result<()> {
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let config = Config::new(data_dir)?;
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let mut docs_manager = DocsManager::new(config);
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match action.as_str() {
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"generate" => {
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if let Some(project_name) = project {
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docs_manager.generate_project_docs(&project_name, output, ai_integration).await?;
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} else {
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return Err(anyhow::anyhow!("Project name is required for generate action"));
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}
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}
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"sync" => {
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if let Some(project_name) = project {
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docs_manager.sync_project_docs(&project_name).await?;
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} else {
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docs_manager.sync_all_docs().await?;
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}
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}
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"list" => {
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docs_manager.list_projects().await?;
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}
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"status" => {
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docs_manager.show_docs_status().await?;
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}
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_ => {
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return Err(anyhow::anyhow!("Unknown docs action: {}", action));
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}
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}
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Ok(())
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ProjectInfo {
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pub name: String,
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pub project_type: String,
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pub description: String,
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pub status: String,
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pub features: Vec<String>,
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pub dependencies: Vec<String>,
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}
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impl Default for ProjectInfo {
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fn default() -> Self {
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ProjectInfo {
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name: String::new(),
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project_type: String::new(),
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description: String::new(),
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status: "active".to_string(),
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features: Vec::new(),
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dependencies: Vec::new(),
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}
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}
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}
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pub struct DocsManager {
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config: Config,
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ai_root: PathBuf,
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projects: HashMap<String, ProjectInfo>,
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}
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impl DocsManager {
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pub fn new(config: Config) -> Self {
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let ai_root = dirs::home_dir()
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.unwrap_or_else(|| PathBuf::from("."))
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.join("ai")
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.join("ai");
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DocsManager {
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config,
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ai_root,
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projects: HashMap::new(),
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}
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}
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pub async fn generate_project_docs(&mut self, project: &str, output: Option<PathBuf>, ai_integration: bool) -> Result<()> {
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println!("{}", format!("📝 Generating documentation for project '{}'", project).cyan().bold());
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// Load project information
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let project_info = self.load_project_info(project)?;
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// Generate documentation content
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let mut content = self.generate_base_documentation(&project_info)?;
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// AI enhancement if requested
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if ai_integration {
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println!("{}", "🤖 Enhancing documentation with AI...".blue());
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if let Ok(enhanced_content) = self.enhance_with_ai(project, &content).await {
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content = enhanced_content;
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} else {
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println!("{}", "Warning: AI enhancement failed, using base documentation".yellow());
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}
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}
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// Determine output path
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let output_path = if let Some(path) = output {
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path
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} else {
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self.ai_root.join(project).join("claude.md")
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};
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// Ensure directory exists
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if let Some(parent) = output_path.parent() {
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std::fs::create_dir_all(parent)
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.with_context(|| format!("Failed to create directory: {}", parent.display()))?;
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}
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// Write documentation
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std::fs::write(&output_path, content)
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.with_context(|| format!("Failed to write documentation to: {}", output_path.display()))?;
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println!("{}", format!("✅ Documentation generated: {}", output_path.display()).green().bold());
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Ok(())
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}
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pub async fn sync_project_docs(&self, project: &str) -> Result<()> {
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println!("{}", format!("🔄 Syncing documentation for project '{}'", project).cyan().bold());
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let claude_dir = self.ai_root.join("claude");
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let project_dir = self.ai_root.join(project);
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// Check if claude directory exists
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if !claude_dir.exists() {
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return Err(anyhow::anyhow!("Claude directory not found: {}", claude_dir.display()));
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}
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// Copy relevant files
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let files_to_sync = vec!["README.md", "claude.md", "DEVELOPMENT.md"];
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for file in files_to_sync {
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let src = claude_dir.join("projects").join(format!("{}.md", project));
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let dst = project_dir.join(file);
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if src.exists() {
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if let Some(parent) = dst.parent() {
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std::fs::create_dir_all(parent)?;
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}
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std::fs::copy(&src, &dst)?;
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println!(" ✓ Synced: {}", file.green());
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}
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}
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println!("{}", "✅ Documentation sync completed".green().bold());
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Ok(())
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}
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pub async fn sync_all_docs(&self) -> Result<()> {
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println!("{}", "🔄 Syncing documentation for all projects...".cyan().bold());
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// Find all project directories
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let projects = self.discover_projects()?;
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for project in projects {
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println!("\n{}", format!("Syncing: {}", project).blue());
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if let Err(e) = self.sync_project_docs(&project).await {
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println!("{}: {}", "Warning".yellow(), e);
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}
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}
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println!("\n{}", "✅ All projects synced".green().bold());
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Ok(())
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}
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pub async fn list_projects(&mut self) -> Result<()> {
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println!("{}", "📋 Available Projects".cyan().bold());
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println!();
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let projects = self.discover_projects()?;
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if projects.is_empty() {
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println!("{}", "No projects found".yellow());
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return Ok(());
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}
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// Load project information
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for project in &projects {
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if let Ok(info) = self.load_project_info(project) {
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self.projects.insert(project.clone(), info);
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}
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}
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// Display projects in a table format
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println!("{:<20} {:<15} {:<15} {}",
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"Project".cyan().bold(),
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"Type".cyan().bold(),
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"Status".cyan().bold(),
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"Description".cyan().bold());
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println!("{}", "-".repeat(80));
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let project_count = projects.len();
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for project in &projects {
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let info = self.projects.get(project).cloned().unwrap_or_default();
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let status_color = match info.status.as_str() {
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"active" => info.status.green(),
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"development" => info.status.yellow(),
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"deprecated" => info.status.red(),
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_ => info.status.normal(),
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};
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println!("{:<20} {:<15} {:<15} {}",
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project.blue(),
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info.project_type,
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status_color,
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info.description);
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}
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println!();
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println!("Total projects: {}", project_count.to_string().cyan());
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Ok(())
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}
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pub async fn show_docs_status(&self) -> Result<()> {
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println!("{}", "📊 Documentation Status".cyan().bold());
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println!();
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let projects = self.discover_projects()?;
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let mut total_files = 0;
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let mut total_lines = 0;
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for project in projects {
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let project_dir = self.ai_root.join(&project);
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let claude_md = project_dir.join("claude.md");
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if claude_md.exists() {
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let content = std::fs::read_to_string(&claude_md)?;
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let lines = content.lines().count();
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let size = content.len();
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println!("{}: {} lines, {} bytes",
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project.blue(),
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lines.to_string().yellow(),
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size.to_string().yellow());
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total_files += 1;
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total_lines += lines;
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} else {
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println!("{}: {}", project.blue(), "No documentation".red());
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}
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}
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println!();
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println!("Summary: {} files, {} total lines",
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total_files.to_string().cyan(),
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total_lines.to_string().cyan());
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Ok(())
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}
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fn discover_projects(&self) -> Result<Vec<String>> {
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let mut projects = Vec::new();
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// Known project directories
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let known_projects = vec![
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"gpt", "card", "bot", "shell", "os", "game", "moji", "verse"
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];
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for project in known_projects {
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let project_dir = self.ai_root.join(project);
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if project_dir.exists() && project_dir.is_dir() {
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projects.push(project.to_string());
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}
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}
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// Also scan for additional directories with ai.json
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if self.ai_root.exists() {
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for entry in std::fs::read_dir(&self.ai_root)? {
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let entry = entry?;
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let path = entry.path();
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if path.is_dir() {
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let ai_json = path.join("ai.json");
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if ai_json.exists() {
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if let Some(name) = path.file_name().and_then(|n| n.to_str()) {
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if !projects.contains(&name.to_string()) {
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projects.push(name.to_string());
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}
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}
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}
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}
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}
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}
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projects.sort();
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Ok(projects)
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}
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fn load_project_info(&self, project: &str) -> Result<ProjectInfo> {
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let ai_json_path = self.ai_root.join(project).join("ai.json");
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if ai_json_path.exists() {
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let content = std::fs::read_to_string(&ai_json_path)?;
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if let Ok(json_data) = serde_json::from_str::<serde_json::Value>(&content) {
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let mut info = ProjectInfo::default();
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info.name = project.to_string();
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if let Some(project_data) = json_data.get(project) {
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if let Some(type_str) = project_data.get("type").and_then(|v| v.as_str()) {
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info.project_type = type_str.to_string();
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}
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if let Some(desc) = project_data.get("description").and_then(|v| v.as_str()) {
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info.description = desc.to_string();
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}
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}
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return Ok(info);
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}
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}
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// Default project info based on known projects
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let mut info = ProjectInfo::default();
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info.name = project.to_string();
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match project {
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"gpt" => {
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info.project_type = "AI".to_string();
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info.description = "Autonomous transmission AI with unique personality".to_string();
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}
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"card" => {
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info.project_type = "Game".to_string();
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info.description = "Card game system with atproto integration".to_string();
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}
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"bot" => {
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info.project_type = "Bot".to_string();
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info.description = "Distributed SNS bot for AI ecosystem".to_string();
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}
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"shell" => {
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info.project_type = "Tool".to_string();
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info.description = "AI-powered shell interface".to_string();
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}
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"os" => {
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info.project_type = "OS".to_string();
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info.description = "Game-oriented operating system".to_string();
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}
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"verse" => {
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info.project_type = "Metaverse".to_string();
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info.description = "Reality-reflecting 3D world system".to_string();
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}
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_ => {
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info.project_type = "Unknown".to_string();
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info.description = format!("AI ecosystem project: {}", project);
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}
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}
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Ok(info)
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}
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fn generate_base_documentation(&self, project_info: &ProjectInfo) -> Result<String> {
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let timestamp = Utc::now().format("%Y-%m-%d %H:%M:%S UTC");
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let mut content = String::new();
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content.push_str(&format!("# {}\n\n", project_info.name));
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content.push_str(&format!("## Overview\n\n"));
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content.push_str(&format!("**Type**: {}\n\n", project_info.project_type));
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content.push_str(&format!("**Description**: {}\n\n", project_info.description));
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content.push_str(&format!("**Status**: {}\n\n", project_info.status));
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if !project_info.features.is_empty() {
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content.push_str("## Features\n\n");
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for feature in &project_info.features {
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content.push_str(&format!("- {}\n", feature));
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}
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content.push_str("\n");
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}
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content.push_str("## Architecture\n\n");
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content.push_str("This project is part of the ai ecosystem, following the core principles:\n\n");
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content.push_str("- **Existence Theory**: Based on the exploration of the smallest units (ai/existon)\n");
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content.push_str("- **Uniqueness Principle**: Ensuring 1:1 mapping between reality and digital existence\n");
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content.push_str("- **Reality Reflection**: Creating circular influence between reality and game\n\n");
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content.push_str("## Development\n\n");
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content.push_str("### Getting Started\n\n");
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content.push_str("```bash\n");
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content.push_str(&format!("# Clone the repository\n"));
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content.push_str(&format!("git clone https://git.syui.ai/ai/{}\n", project_info.name));
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content.push_str(&format!("cd {}\n", project_info.name));
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content.push_str("```\n\n");
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content.push_str("### Configuration\n\n");
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content.push_str(&format!("Configuration files are stored in `~/.config/syui/ai/{}/`\n\n", project_info.name));
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content.push_str("## Integration\n\n");
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content.push_str("This project integrates with other ai ecosystem components:\n\n");
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if !project_info.dependencies.is_empty() {
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for dep in &project_info.dependencies {
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content.push_str(&format!("- **{}**: Core dependency\n", dep));
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}
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} else {
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content.push_str("- **ai.gpt**: Core AI personality system\n");
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content.push_str("- **atproto**: Distributed identity and data\n");
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}
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content.push_str("\n");
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content.push_str("---\n\n");
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content.push_str(&format!("*Generated: {}*\n", timestamp));
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content.push_str("*🤖 Generated with [Claude Code](https://claude.ai/code)*\n");
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Ok(content)
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}
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async fn enhance_with_ai(&self, project: &str, base_content: &str) -> Result<String> {
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// Create AI provider
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let ai_config = AIConfig {
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provider: AIProvider::Ollama,
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model: "llama2".to_string(),
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api_key: None,
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base_url: None,
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max_tokens: Some(2000),
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temperature: Some(0.7),
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};
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let _ai_provider = AIProviderClient::new(ai_config);
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let mut persona = Persona::new(&self.config)?;
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let enhancement_prompt = format!(
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"As an AI documentation expert, enhance the following documentation for project '{}'.
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Current documentation:
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{}
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Please provide enhanced content that includes:
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1. More detailed project description
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2. Key features and capabilities
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3. Usage examples
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4. Integration points with other AI ecosystem projects
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5. Development workflow recommendations
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Keep the same structure but expand and improve the content.",
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project, base_content
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);
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// Try to get AI response
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let (response, _) = persona.process_ai_interaction(
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"docs_system",
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&enhancement_prompt,
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Some("ollama".to_string()),
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Some("llama2".to_string())
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).await?;
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// If AI response is substantial, use it; otherwise fall back to base content
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if response.len() > base_content.len() / 2 {
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Ok(response)
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} else {
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Ok(base_content.to_string())
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}
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}
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} |