@sdantu/bashbuddy

--- package/db.js (excerpt) ---
import Database from 'better-sqlite3';
import { mkdirSync, existsSync } from 'fs';
import { join } from 'path';
import { homedir } from 'os';

const BASHBUDDY_DIR = join(homedir(), '.bashbuddy');
const DB_PATH       = join(BASHBUDDY_DIR, 'db.sqlite');

if (!existsSync(BASHBUDDY_DIR)) mkdirSync(BASHBUDDY_DIR, { recursive: true });

const db = new Database(DB_PATH);

// WAL mode — better performance, allows reads while writing
db.pragma('journal_mode = WAL');

// ─── Schema ───────────────────────────────────────────────────────────────────
// Creates tables only if they don't already exist.
// Safe to call every time bashbuddy starts.
db.exec(`
  CREATE TABLE IF NOT EXISTS sessions (
    id         INTEGER PRIMARY KEY AUTOINCREMENT,
    started_at TEXT NOT NULL DEFAULT (datetime('now', 'localtime')),
    ended_at   TEXT
  );

  CREATE TABLE IF NOT EXISTS commands (
    id          INTEGER PRIMARY KEY AUTOINCREMENT,
    session_id  INTEGER NOT NULL REFERENCES sessions(id),
    raw_input   TEXT NOT NULL,
    command     TEXT NOT NULL,
    executed_at TEXT NOT NULL DEFAULT (datetime('now', 'localtime'))
  );
`);

// ─── Sessions ─────────────────────────────────────────────────────────────────

// Call once when bashbuddy bash starts.
// Returns the new session id.
export function startSession() {
  const result = db.prepare(`INSERT INTO sessions DEFAULT VALUES`).run();
  return result.lastInsertRowid;
}

// Call when bashbuddy closes.
export function endSession(sessionId) {
  db

--- package/detector.js (excerpt) ---
import { createRequire } from 'module';
import { readFileSync, writeFileSync, existsSync } from 'fs';
import { join } from 'path';
import { homedir } from 'os';

// bash-parser is a CommonJS module — this is how you import CJS into ESM
const require = createRequire(import.meta.url);
const parse = require('bash-parser');

const LEARNED_COMMANDS_FILE = join(homedir(), '.bashbuddy', 'commands.json');

// ─── Known commands ───────────────────────────────────────────────────────────
// Hardcoded baseline — always present regardless of learned commands.
const BASELINE_COMMANDS = new Set([
  // filesystem
  'ls', 'cd', 'pwd', 'mkdir', 'rmdir', 'rm', 'mv', 'cp', 'touch',
  'ln', 'chmod', 'chown', 'chgrp', 'stat', 'file', 'find', 'du', 'df',
  // viewing
  'cat', 'less', 'more', 'head', 'tail', 'open',
  // searching
  'grep', 'awk', 'sed', 'sort', 'uniq', 'wc', 'diff', 'which', 'type',
  // system
  'echo', 'printf', 'date', 'whoami', 'uname', 'uptime', 'ps', 'top',
  'kill', 'pkill', 'env', 'export', 'unset', 'printenv', 'clear', 'exit',
  // network
  'curl', 'wget', 'ssh', 'scp', 'rsync', 'ping', 'nc',
  // tools
  'git', 'npm', 'npx', 'node', 'python', 'python3', 'pip', 'pip3',
  'brew', 'gcc', 'vim', 'nano', 'code', 'tar', 'zip', 'unzip',
  'gzip', 'gunzip', 'sudo', 'su', 'man', 'history', 'source', 'alias',
]);

// ─── Runtime Set ─────────────────────────────────────────────────────────────
// This is what shouldAttempt checks against.
// Starts as the baseline, gets learned 

--- package/llm.js (excerpt) ---
import { execSync, spawn } from 'child_process';
import { platform } from 'os';

const OLLAMA_BASE = 'http://localhost:11434';
const MODEL = 'llama3.2';

// ─── checkOllama ──────────────────────────────────────────────────────────────
// Returns 1 only if BOTH conditions are true:
//   - Ollama server is running
//   - The model is pulled and ready
// Returns 0 if either is missing.
export async function checkOllama() {
  try {
    const res = await fetch(`${OLLAMA_BASE}/api/tags`, { signal: AbortSignal.timeout(2000) });
    if (!res.ok) return 0;

    const data = await res.json();
    const models = data.models || [];
    const modelReady = models.some(m => m.name.startsWith(MODEL));

    if (!modelReady) {
      console.log(`[llm] Ollama running but model "${MODEL}" not found`);
      return 0;
    }

    return 1;
  } catch {
    return 0;
  }
}

// ─── installOllama ────────────────────────────────────────────────────────────
// Handles two cases:
//   1. Ollama not installed → install it, start it, pull the model
//   2. Ollama installed but model missing → just pull the model
export async function installOllama() {
  const os = platform();

  // Check if ollama binary exists at all
  const ollamaInstalled = isOllamaInstalled();

  if (!ollamaInstalled) {
    console.log(`[llm] Ollama not installed — installing for platform: ${os}`);

    if (os === 'darwin') {
      console.log('[llm] running: brew install ollama');
      try {
        execSync('brew install ollama',