Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com> |
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| index.js | ||
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yocto-queue 
Tiny queue data structure
You should use this package instead of an array if you do a lot of Array#push() and Array#shift() on large arrays, since Array#shift() has linear time complexity O(n) while Queue#dequeue() has constant time complexity O(1). That makes a huge difference for large arrays.
A queue is an ordered list of elements where an element is inserted at the end of the queue and is removed from the front of the queue. A queue works based on the first-in, first-out (FIFO) principle.
Install
$ npm install yocto-queue
Usage
const Queue = require('yocto-queue');
const queue = new Queue();
queue.enqueue('🦄');
queue.enqueue('🌈');
console.log(queue.size);
//=> 2
console.log(...queue);
//=> '🦄 🌈'
console.log(queue.dequeue());
//=> '🦄'
console.log(queue.dequeue());
//=> '🌈'
API
queue = new Queue()
The instance is an Iterable, which means you can iterate over the queue front to back with a “for…of” loop, or use spreading to convert the queue to an array. Don't do this unless you really need to though, since it's slow.
.enqueue(value)
Add a value to the queue.
.dequeue()
Remove the next value in the queue.
Returns the removed value or undefined if the queue is empty.
.clear()
Clear the queue.
.size
The size of the queue.
Related
- quick-lru - Simple “Least Recently Used” (LRU) cache