8839075805
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>
69 lines
2.0 KiB
Markdown
69 lines
2.0 KiB
Markdown
# encoding-sniffer [](https://github.com/fb55/encoding-sniffer/actions/workflows/nodejs-test.yml)
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An implementation of the HTML encoding sniffer algo, with stream support.
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This module wraps around [iconv-lite](https://github.com/ashtuchkin/iconv-lite)
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to make decoding buffers and streams incredibly easy.
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## Features
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- Support for streams
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- Support for XML encoding types, including UTF-16 prefixes and
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`<?xml encoding="...">`
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- Allows decoding streams and buffers with a single function call
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## Installation
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```bash
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npm install encoding-sniffer
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```
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## Usage
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```js
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import { DecodeStream, getEncoding, decodeBuffer } from "encoding-sniffer";
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/**
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* All functions accept an optional options object.
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*
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* Available options are (with default values):
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*/
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const options = {
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/**
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* The maximum number of bytes to sniff. Defaults to `1024`.
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*/
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maxBytes: 1024,
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/**
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* The encoding specified by the user. If set, this will only be overridden
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* by a Byte Order Mark (BOM).
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*/
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userEncoding: undefined,
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/**
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* The encoding specified by the transport layer. If set, this will only be
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* overridden by a Byte Order Mark (BOM) or the user encoding.
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*/
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transportLayerEncodingLabel: undefined,
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/**
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* The default encoding to use, if no encoding can be detected.
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*
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* Defaults to `"windows-1252"`.
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*/
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defaultEncoding: "windows-1252",
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};
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// Use the `DecodeStream` transform stream to automatically decode
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// the contents of a stream as they are read
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const decodeStream = new DecodeStream(options);
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// Or, use the `getEncoding` function to detect the encoding of a buffer
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const encoding = getEncoding(buffer, options);
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// Use the `decodeBuffer` function to decode the contents of a buffer
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const decodedBuffer = decodeBuffer(buffer, options);
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```
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## License
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This project is licensed under the MIT License. See the [LICENSE](/LICENSE) file
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for more information.
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