tftsr-devops_investigation/node_modules/execa/lib/arguments/encoding-option.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

51 lines
1.5 KiB
JavaScript

// Validate `encoding` option
export const validateEncoding = ({encoding}) => {
if (ENCODINGS.has(encoding)) {
return;
}
const correctEncoding = getCorrectEncoding(encoding);
if (correctEncoding !== undefined) {
throw new TypeError(`Invalid option \`encoding: ${serializeEncoding(encoding)}\`.
Please rename it to ${serializeEncoding(correctEncoding)}.`);
}
const correctEncodings = [...ENCODINGS].map(correctEncoding => serializeEncoding(correctEncoding)).join(', ');
throw new TypeError(`Invalid option \`encoding: ${serializeEncoding(encoding)}\`.
Please rename it to one of: ${correctEncodings}.`);
};
const TEXT_ENCODINGS = new Set(['utf8', 'utf16le']);
export const BINARY_ENCODINGS = new Set(['buffer', 'hex', 'base64', 'base64url', 'latin1', 'ascii']);
const ENCODINGS = new Set([...TEXT_ENCODINGS, ...BINARY_ENCODINGS]);
const getCorrectEncoding = encoding => {
if (encoding === null) {
return 'buffer';
}
if (typeof encoding !== 'string') {
return;
}
const lowerEncoding = encoding.toLowerCase();
if (lowerEncoding in ENCODING_ALIASES) {
return ENCODING_ALIASES[lowerEncoding];
}
if (ENCODINGS.has(lowerEncoding)) {
return lowerEncoding;
}
};
const ENCODING_ALIASES = {
// eslint-disable-next-line unicorn/text-encoding-identifier-case
'utf-8': 'utf8',
'utf-16le': 'utf16le',
'ucs-2': 'utf16le',
ucs2: 'utf16le',
binary: 'latin1',
};
const serializeEncoding = encoding => typeof encoding === 'string' ? `"${encoding}"` : String(encoding);