tftsr-devops_investigation/node_modules/sucrase/dist/util/isExportFrom.js
Shaun Arman 8839075805 feat: initial implementation of TFTSR IT Triage & RCA application
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>
2026-03-14 22:36:25 -05:00

19 lines
742 B
JavaScript

"use strict";Object.defineProperty(exports, "__esModule", {value: true});var _keywords = require('../parser/tokenizer/keywords');
var _types = require('../parser/tokenizer/types');
/**
* Starting at `export {`, look ahead and return `true` if this is an
* `export {...} from` statement and `false` if this is a plain multi-export.
*/
function isExportFrom(tokens) {
let closeBraceIndex = tokens.currentIndex();
while (!tokens.matches1AtIndex(closeBraceIndex, _types.TokenType.braceR)) {
closeBraceIndex++;
}
return (
tokens.matchesContextualAtIndex(closeBraceIndex + 1, _keywords.ContextualKeyword._from) &&
tokens.matches1AtIndex(closeBraceIndex + 2, _types.TokenType.string)
);
} exports.default = isExportFrom;