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\n\n# Rip Swarm - @rip-lang/swarm\n\n> **Parallel job runner with worker threads — setup once, swarm many**\n\nSwarm is a high-performance batch job engine for Rip. Give it a list of\ntasks and a function to process each one, and it fans out across worker\nthreads with real-time progress bars, automatic retries, and a clean\nsummary when done. No database, no message broker, no dependencies —\njust files, threads, and message passing.\n\n## Why This Approach?\n\nMost job queues add complexity: Redis, RabbitMQ, database-backed queues,\ndistributed locks. Swarm takes the opposite approach:\n\n- **Tasks are files.** A directory listing *is* the queue. You can\n inspect, add, or remove tasks with basic shell commands.\n- **State is a file move.** `todo/ → done/` is one atomic `rename`.\n No transactions, no eventual consistency. If the process crashes,\n unfinished tasks are still in `todo/` — restart and pick up where\n you left off.\n- **Workers are threads.** Setup runs once in the main thread, context\n is cloned to N workers via message passing. No shared mutable state,\n no locks, no deadlocks.\n- **Progress is real-time.** The main thread owns the terminal — ANSI\n progress bars update live with per-worker stats. Workers never touch\n stdout.\n\nThe result: ~330 lines of Rip, zero dependencies, and it handles\nthousands of tasks reliably. Boring infrastructure, rock solid.\n\n## Quick Start\n\n```bash\nbun add @rip-lang/swarm # add to your project\n```\n\nCreate a job script:\n\n```coffee\nimport { swarm, init, retry, todo } from '@rip-lang/swarm'\n\nsetup = ->\n unless retry()\n init()\n for i in [1..100] then todo(i)\n { startedAt: Date.now() }\n\nperform = (task, ctx) ->\n await Bun.sleep(Math.random() * 1000)\n throw new Error(\"boom\") if Math.random() < 0.03\n\nswarm { setup, perform }\n```\n\nRun it:\n\n```bash\nrip jobs.rip # workers default to CPU count\nrip jobs.rip -w 10 # 10 workers\nrip jobs.rip -w 40 # 40 workers for I/O-heavy jobs\n```\n\n## How It Works\n\n```\n┌──────────────────────────────────────────────────┐\n│ Single Bun Process │\n│ │\n│ Main Thread Worker Threads (N) │\n│ ────────── ────────────────── │\n│ setup() runs once each loads your script │\n│ creates .swarm/todo/* receives tasks via IPC │\n│ dispatches tasks calls perform(task) │\n│ renders progress bars reports done/failed │\n│ moves files atomically stays alive for more │\n│ │\n│ .swarm/todo/42 ──rename──→ .swarm/done/42 │\n│ ──rename──→ .swarm/died/42 │\n└──────────────────────────────────────────────────┘\n```\n\n1. **`setup()`** runs once in the main thread — creates task files and\n returns an optional context object (auth tokens, config, paths).\n **Important:** the context must be plain data (strings, numbers,\n booleans, arrays, plain objects). Class instances, functions, HTTP\n clients, sockets, and other complex objects cannot be cloned for\n worker threads — use `fetch` inside `perform()` instead\n2. **N worker threads** are spawned — each loads your script and gets\n the `perform` function. Workers are long-lived and process many tasks\n3. Tasks are dispatched from `.swarm/todo/` to workers via message passing\n4. Workers call `perform(task, ctx)` — on success the file moves to\n `done/`, on failure it moves to `died/`\n5. ANSI progress bars update live — per-worker throughput and overall\n completion. When done, per-worker stats are shown\n6. If tasks died, just run it again — `retry()` moves them back to\n `todo/` and only those tasks are reprocessed\n\n## Task Lifecycle\n\n```\n.swarm/\n├── todo/ ← tasks waiting to be processed\n├── done/ ← completed successfully\n└── died/ ← failed (retryable)\n```\n\nTasks are plain files. The filename identifies the task (e.g., `000315`,\n`2024-01-15`, `amazon.json`). Files can be empty (filename is the data)\nor contain a payload that `perform` reads. File moves use `renameSync`\n— atomic on the same filesystem, no partial states.\n\n## API\n\n### Task Queue\n\n```coffee\nimport { init, retry, todo } from '@rip-lang/swarm'\n\ninit() # Remove old .swarm, create todo/done/died dirs\nretry() # Move .swarm/died/* back to .swarm/todo/ for retry\ntodo('task-1') # Create empty task file\ntodo('task-2', data) # Create task file with data (string or JSON)\n```\n\n### swarm()\n\n```coffee\nswarm { setup, perform }\nswarm { setup, perform, workers: 8, bar: 30, char: '█' }\n```\n\n| Option | Description | Default |\n|--------|-------------|---------|\n| **setup** | Runs once in main thread, returns optional context | — |\n| **perform** | `(taskPath, ctx)` — runs in worker threads | required |\n| **workers** | Number of worker threads | CPU count |\n| **bar** | Progress bar width in characters | 20 |\n| **char** | Character for progress bars | `•` |\n\n### CLI Flags\n\n```\n-w, --workers Number of workers (default: CPU count)\n-b, --bar Progress bar width (default: 20)\n-c, --char Bar character (default: •)\n-r, --reset Remove .swarm directory and quit\n```\n\nCLI flags override options passed to `swarm()`.\n\n### args()\n\nSwarm also exports `args()` which returns `process.argv` with all\nswarm flags stripped — only your script's positional arguments remain:\n\n```coffee\nimport { swarm, args } from '@rip-lang/swarm'\n\ninputFile = args()[0] # first non-swarm argument\n```\n\n## Crash Recovery\n\n| Failure | What Happens | Recovery |\n|---------|-------------|----------|\n| `perform()` throws | Worker catches it, reports failed, picks up next task | Automatic |\n| Unhandled rejection | Worker error handler fires, continues | Automatic |\n| Worker thread dies | Main thread detects exit, respawns worker | Automatic |\n| Process killed (Ctrl+C) | Unfinished tasks remain in `todo/`, cursor restored | Re-run to continue |\n\nFailed tasks land in `.swarm/died/`. Call `retry()` in your next\n`setup()` to move them back for reprocessing — only the failed tasks\nrun, not the entire batch.\n\n## Real-World Example\n\nDownloading 15,000 lab test definitions from an API with 40 workers:\n\n```coffee\nimport { swarm, args, init, retry, todo } from '@rip-lang/swarm'\nimport { isMainThread } from 'worker_threads'\nimport { readFileSync, existsSync, mkdirSync } from 'fs'\nimport { join, resolve } from 'path'\n\nTESTS_FILE = null\nif isMainThread\n TESTS_FILE = args()[0]\n\nsetup = ->\n unless retry()\n init()\n lines = readFileSync(TESTS_FILE, 'utf-8').trim().split('\\n')\n for code in lines then todo(code.trim()) if code.trim()\n outDir = resolve('../data/tests')\n mkdirSync(outDir, { recursive: true })\n auth = readFileSync(resolve('.auth'), 'utf-8')\n xibm = auth.match(/^X-IBM-Client-Id=(.*)$/m)?[1]\n cook = auth.match(/^lch-authorization_ACC=.*$/m)?[0]\n { xibm, cook, outDir }\n\nperform = (task, ctx) ->\n code = task.split('/').pop()\n return if existsSync(join(ctx.outDir, \"#{code}.json\"))\n resp = await fetch \"https://api.example.com/tests/#{code}\",\n method: 'POST'\n headers: { 'Cookie': ctx.cook }\n body: JSON.stringify { testCode: code }\n throw new Error(\"HTTP #{resp.status}\") unless resp.ok\n await Bun.write(join(ctx.outDir, \"#{code}.json\"), await resp.text())\n\nswarm { setup, perform }\n```\n\n```bash\nrip download-tests.rip tests.txt -w 40\n# 15,000 tests across 40 workers — finishes in minutes\n```\n\n## Troubleshooting\n\n### Progress bar text appears black in VS Code / Cursor\n\nVS Code's terminal has a \"minimum contrast ratio\" feature that overrides\nforeground colors. This can turn white progress text black. To fix it,\nadd this to your VS Code or Cursor settings:\n\n```json\n\"terminal.integrated.minimumContrastRatio\": 1\n```\n\nThis disables the contrast adjustment and lets ANSI colors render as\nintended. The progress display works correctly in standard terminals\n(iTerm2, Terminal.app, etc.) without any changes.\n","readmeFilename":"README.md"}