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>
65 lines
2.2 KiB
JavaScript
65 lines
2.2 KiB
JavaScript
"use strict";Object.defineProperty(exports, "__esModule", {value: true});var _base = require('../traverser/base');
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var _charcodes = require('../util/charcodes');
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var _identifier = require('../util/identifier');
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var _index = require('./index');
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var _readWordTree = require('./readWordTree');
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var _types = require('./types');
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/**
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* Read an identifier, producing either a name token or matching on one of the existing keywords.
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* For performance, we pre-generate big decision tree that we traverse. Each node represents a
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* prefix and has 27 values, where the first value is the token or contextual token, if any (-1 if
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* not), and the other 26 values are the transitions to other nodes, or -1 to stop.
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*/
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function readWord() {
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let treePos = 0;
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let code = 0;
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let pos = _base.state.pos;
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while (pos < _base.input.length) {
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code = _base.input.charCodeAt(pos);
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if (code < _charcodes.charCodes.lowercaseA || code > _charcodes.charCodes.lowercaseZ) {
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break;
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}
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const next = _readWordTree.READ_WORD_TREE[treePos + (code - _charcodes.charCodes.lowercaseA) + 1];
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if (next === -1) {
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break;
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} else {
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treePos = next;
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pos++;
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}
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}
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const keywordValue = _readWordTree.READ_WORD_TREE[treePos];
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if (keywordValue > -1 && !_identifier.IS_IDENTIFIER_CHAR[code]) {
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_base.state.pos = pos;
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if (keywordValue & 1) {
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_index.finishToken.call(void 0, keywordValue >>> 1);
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} else {
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_index.finishToken.call(void 0, _types.TokenType.name, keywordValue >>> 1);
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}
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return;
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}
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while (pos < _base.input.length) {
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const ch = _base.input.charCodeAt(pos);
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if (_identifier.IS_IDENTIFIER_CHAR[ch]) {
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pos++;
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} else if (ch === _charcodes.charCodes.backslash) {
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// \u
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pos += 2;
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if (_base.input.charCodeAt(pos) === _charcodes.charCodes.leftCurlyBrace) {
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while (pos < _base.input.length && _base.input.charCodeAt(pos) !== _charcodes.charCodes.rightCurlyBrace) {
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pos++;
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}
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pos++;
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}
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} else if (ch === _charcodes.charCodes.atSign && _base.input.charCodeAt(pos + 1) === _charcodes.charCodes.atSign) {
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pos += 2;
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} else {
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break;
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}
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}
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_base.state.pos = pos;
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_index.finishToken.call(void 0, _types.TokenType.name);
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} exports.default = readWord;
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