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>
115 lines
3.0 KiB
JavaScript
115 lines
3.0 KiB
JavaScript
/**
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* @import {Chunk, Code, Encoding, Value} from 'micromark-util-types'
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*/
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/**
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* @callback Preprocessor
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* Preprocess a value.
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* @param {Value} value
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* Value.
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* @param {Encoding | null | undefined} [encoding]
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* Encoding when `value` is a typed array (optional).
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* @param {boolean | null | undefined} [end=false]
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* Whether this is the last chunk (default: `false`).
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* @returns {Array<Chunk>}
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* Chunks.
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*/
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const search = /[\0\t\n\r]/g;
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/**
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* @returns {Preprocessor}
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* Preprocess a value.
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*/
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export function preprocess() {
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let column = 1;
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let buffer = '';
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/** @type {boolean | undefined} */
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let start = true;
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/** @type {boolean | undefined} */
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let atCarriageReturn;
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return preprocessor;
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/** @type {Preprocessor} */
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// eslint-disable-next-line complexity
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function preprocessor(value, encoding, end) {
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/** @type {Array<Chunk>} */
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const chunks = [];
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/** @type {RegExpMatchArray | null} */
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let match;
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/** @type {number} */
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let next;
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/** @type {number} */
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let startPosition;
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/** @type {number} */
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let endPosition;
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/** @type {Code} */
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let code;
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value = buffer + (typeof value === 'string' ? value.toString() : new TextDecoder(encoding || undefined).decode(value));
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startPosition = 0;
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buffer = '';
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if (start) {
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// To do: `markdown-rs` actually parses BOMs (byte order mark).
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if (value.charCodeAt(0) === 65279) {
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startPosition++;
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}
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start = undefined;
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}
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while (startPosition < value.length) {
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search.lastIndex = startPosition;
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match = search.exec(value);
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endPosition = match && match.index !== undefined ? match.index : value.length;
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code = value.charCodeAt(endPosition);
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if (!match) {
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buffer = value.slice(startPosition);
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break;
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}
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if (code === 10 && startPosition === endPosition && atCarriageReturn) {
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chunks.push(-3);
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atCarriageReturn = undefined;
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} else {
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if (atCarriageReturn) {
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chunks.push(-5);
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atCarriageReturn = undefined;
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}
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if (startPosition < endPosition) {
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chunks.push(value.slice(startPosition, endPosition));
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column += endPosition - startPosition;
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}
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switch (code) {
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case 0:
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{
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chunks.push(65533);
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column++;
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break;
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}
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case 9:
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{
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next = Math.ceil(column / 4) * 4;
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chunks.push(-2);
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while (column++ < next) chunks.push(-1);
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break;
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}
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case 10:
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{
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chunks.push(-4);
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column = 1;
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break;
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}
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default:
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{
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atCarriageReturn = true;
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column = 1;
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}
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}
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}
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startPosition = endPosition + 1;
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}
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if (end) {
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if (atCarriageReturn) chunks.push(-5);
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if (buffer) chunks.push(buffer);
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chunks.push(null);
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}
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return chunks;
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}
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} |