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>
120 lines
2.4 KiB
JavaScript
120 lines
2.4 KiB
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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// Binary min-heap implementation used for priority queue.
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// Implementation is stable, i.e. push time is considered for equal priorities
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class Heap {
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constructor() {
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this.heap = [];
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this.pushCount = Number.MIN_SAFE_INTEGER;
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}
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get length() {
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return this.heap.length;
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}
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empty() {
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this.heap = [];
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return this;
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}
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percUp(index) {
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let p;
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while (index > 0 && smaller(this.heap[index], this.heap[p = parent(index)])) {
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let t = this.heap[index];
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this.heap[index] = this.heap[p];
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this.heap[p] = t;
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index = p;
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}
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}
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percDown(index) {
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let l;
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while ((l = leftChi(index)) < this.heap.length) {
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if (l + 1 < this.heap.length && smaller(this.heap[l + 1], this.heap[l])) {
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l = l + 1;
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}
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if (smaller(this.heap[index], this.heap[l])) {
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break;
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}
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let t = this.heap[index];
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this.heap[index] = this.heap[l];
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this.heap[l] = t;
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index = l;
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}
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}
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push(node) {
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node.pushCount = ++this.pushCount;
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this.heap.push(node);
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this.percUp(this.heap.length - 1);
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}
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unshift(node) {
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return this.heap.push(node);
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}
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shift() {
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let [top] = this.heap;
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this.heap[0] = this.heap[this.heap.length - 1];
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this.heap.pop();
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this.percDown(0);
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return top;
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}
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toArray() {
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return [...this];
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}
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*[Symbol.iterator]() {
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for (let i = 0; i < this.heap.length; i++) {
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yield this.heap[i].data;
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}
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}
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remove(testFn) {
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let j = 0;
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for (let i = 0; i < this.heap.length; i++) {
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if (!testFn(this.heap[i])) {
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this.heap[j] = this.heap[i];
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j++;
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}
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}
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this.heap.splice(j);
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for (let i = parent(this.heap.length - 1); i >= 0; i--) {
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this.percDown(i);
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}
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return this;
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}
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}
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exports.default = Heap;
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function leftChi(i) {
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return (i << 1) + 1;
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}
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function parent(i) {
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return (i + 1 >> 1) - 1;
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}
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function smaller(x, y) {
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if (x.priority !== y.priority) {
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return x.priority < y.priority;
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} else {
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return x.pushCount < y.pushCount;
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}
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}
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module.exports = exports.default; |