tftsr-devops_investigation/node_modules/encoding-sniffer
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
..
dist feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00
node_modules/iconv-lite feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00
LICENSE feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00
package.json feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00
README.md feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00
sniffer.d.ts feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00
sniffer.js feat: initial implementation of TFTSR IT Triage & RCA application 2026-03-14 22:36:25 -05:00

encoding-sniffer Node.js CI

An implementation of the HTML encoding sniffer algo, with stream support.

This module wraps around iconv-lite to make decoding buffers and streams incredibly easy.

Features

  • Support for streams
  • Support for XML encoding types, including UTF-16 prefixes and <?xml encoding="...">
  • Allows decoding streams and buffers with a single function call

Installation

npm install encoding-sniffer

Usage

import { DecodeStream, getEncoding, decodeBuffer } from "encoding-sniffer";

/**
 * All functions accept an optional options object.
 *
 * Available options are (with default values):
 */
const options = {
    /**
     * The maximum number of bytes to sniff. Defaults to `1024`.
     */
    maxBytes: 1024,
    /**
     * The encoding specified by the user. If set, this will only be overridden
     * by a Byte Order Mark (BOM).
     */
    userEncoding: undefined,
    /**
     * The encoding specified by the transport layer. If set, this will only be
     * overridden by a Byte Order Mark (BOM) or the user encoding.
     */
    transportLayerEncodingLabel: undefined,
    /**
     * The default encoding to use, if no encoding can be detected.
     *
     * Defaults to `"windows-1252"`.
     */
    defaultEncoding: "windows-1252",
};

// Use the `DecodeStream` transform stream to automatically decode
// the contents of a stream as they are read
const decodeStream = new DecodeStream(options);

// Or, use the `getEncoding` function to detect the encoding of a buffer
const encoding = getEncoding(buffer, options);

// Use the `decodeBuffer` function to decode the contents of a buffer
const decodedBuffer = decodeBuffer(buffer, options);

License

This project is licensed under the MIT License. See the LICENSE file for more information.