8839075805
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>
114 lines
3.3 KiB
JavaScript
114 lines
3.3 KiB
JavaScript
"use strict";
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var __importDefault = (this && this.__importDefault) || function (mod) {
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return (mod && mod.__esModule) ? mod : { "default": mod };
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};
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Object.defineProperty(exports, "__esModule", { value: true });
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exports.ISO_2022_CN = exports.ISO_2022_KR = exports.ISO_2022_JP = void 0;
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const match_1 = __importDefault(require("../match"));
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class ISO_2022 {
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constructor() {
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this.escapeSequences = [];
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}
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name() {
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return 'ISO_2022';
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}
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match(det) {
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let i, j;
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let escN;
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let hits = 0;
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let misses = 0;
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let shifts = 0;
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let confidence;
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const text = det.inputBytes;
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const textLen = det.inputLen;
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scanInput: for (i = 0; i < textLen; i++) {
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if (text[i] == 0x1b) {
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checkEscapes: for (escN = 0; escN < this.escapeSequences.length; escN++) {
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const seq = this.escapeSequences[escN];
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if (textLen - i < seq.length)
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continue checkEscapes;
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for (j = 1; j < seq.length; j++)
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if (seq[j] != text[i + j])
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continue checkEscapes;
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hits++;
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i += seq.length - 1;
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continue scanInput;
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}
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misses++;
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}
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if (text[i] == 0x0e || text[i] == 0x0f)
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shifts++;
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}
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if (hits == 0)
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return null;
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confidence = (100 * hits - 100 * misses) / (hits + misses);
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if (hits + shifts < 5)
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confidence -= (5 - (hits + shifts)) * 10;
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return confidence <= 0 ? null : (0, match_1.default)(det, this, confidence);
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}
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}
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class ISO_2022_JP extends ISO_2022 {
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constructor() {
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super(...arguments);
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this.escapeSequences = [
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[0x1b, 0x24, 0x28, 0x43],
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[0x1b, 0x24, 0x28, 0x44],
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[0x1b, 0x24, 0x40],
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[0x1b, 0x24, 0x41],
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[0x1b, 0x24, 0x42],
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[0x1b, 0x26, 0x40],
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[0x1b, 0x28, 0x42],
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[0x1b, 0x28, 0x48],
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[0x1b, 0x28, 0x49],
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[0x1b, 0x28, 0x4a],
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[0x1b, 0x2e, 0x41],
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[0x1b, 0x2e, 0x46],
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];
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}
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name() {
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return 'ISO-2022-JP';
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}
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language() {
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return 'ja';
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}
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}
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exports.ISO_2022_JP = ISO_2022_JP;
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class ISO_2022_KR extends ISO_2022 {
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constructor() {
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super(...arguments);
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this.escapeSequences = [[0x1b, 0x24, 0x29, 0x43]];
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}
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name() {
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return 'ISO-2022-KR';
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}
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language() {
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return 'kr';
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}
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}
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exports.ISO_2022_KR = ISO_2022_KR;
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class ISO_2022_CN extends ISO_2022 {
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constructor() {
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super(...arguments);
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this.escapeSequences = [
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[0x1b, 0x24, 0x29, 0x41],
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[0x1b, 0x24, 0x29, 0x47],
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[0x1b, 0x24, 0x2a, 0x48],
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[0x1b, 0x24, 0x29, 0x45],
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[0x1b, 0x24, 0x2b, 0x49],
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[0x1b, 0x24, 0x2b, 0x4a],
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[0x1b, 0x24, 0x2b, 0x4b],
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[0x1b, 0x24, 0x2b, 0x4c],
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[0x1b, 0x24, 0x2b, 0x4d],
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[0x1b, 0x4e],
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[0x1b, 0x4f],
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];
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}
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name() {
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return 'ISO-2022-CN';
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}
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language() {
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return 'zh';
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}
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}
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exports.ISO_2022_CN = ISO_2022_CN;
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//# sourceMappingURL=iso2022.js.map
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