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> |
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Determine the Encoding of a HTML Byte Stream
This package implements the HTML Standard's encoding sniffing algorithm in all its glory. The most interesting part of this is how it pre-scans the first 1024 bytes in order to search for certain <meta charset>-related patterns.
const htmlEncodingSniffer = require("html-encoding-sniffer");
const fs = require("fs");
const htmlBytes = fs.readFileSync("./html-page.html");
const sniffedEncoding = htmlEncodingSniffer(htmlBytes);
The passed bytes are given as a Uint8Array; the Node.js Buffer subclass of Uint8Array will also work, as shown above.
The returned value will be a canonical encoding name (not a label). You might then combine this with the whatwg-encoding package to decode the result:
const whatwgEncoding = require("whatwg-encoding");
const htmlString = whatwgEncoding.decode(htmlBytes, sniffedEncoding);
Options
You can pass two potential options to htmlEncodingSniffer:
const sniffedEncoding = htmlEncodingSniffer(htmlBytes, {
transportLayerEncodingLabel,
defaultEncoding
});
These represent two possible inputs into the encoding sniffing algorithm:
transportLayerEncodingLabelis an encoding label that is obtained from the "transport layer" (probably a HTTPContent-Typeheader), which overrides everything but a BOM.defaultEncodingis the ultimate fallback encoding used if no valid encoding is supplied by the transport layer, and no encoding is sniffed from the bytes. It defaults to"windows-1252", as recommended by the algorithm's table of suggested defaults for "All other locales" (including theenlocale).
Credits
This package was originally based on the excellent work of @nicolashenry, in jsdom. It has since been pulled out into this separate package.