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
1.9 KiB
JavaScript
69 lines
1.9 KiB
JavaScript
/**
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* @import {Encoding, Value} from 'micromark-util-types'
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*/
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/**
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* @typedef {import('micromark-util-types').Options} Options
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*/
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import {compile} from './lib/compile.js'
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import {parse} from './lib/parse.js'
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import {postprocess} from './lib/postprocess.js'
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import {preprocess} from './lib/preprocess.js'
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export {compile} from './lib/compile.js'
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export {parse} from './lib/parse.js'
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export {postprocess} from './lib/postprocess.js'
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export {preprocess} from './lib/preprocess.js'
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/**
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* Compile markdown to HTML.
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*
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* > Note: which encodings are supported depends on the engine.
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* > For info on Node.js, see:
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* > <https://nodejs.org/api/util.html#whatwg-supported-encodings>.
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*
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* @overload
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* @param {Value} value
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* Markdown to parse (`string` or `Uint8Array`).
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* @param {Encoding | null | undefined} encoding
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* Character encoding to understand `value` as when it’s a `Uint8Array`
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* (`string`, default: `'utf8'`).
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* @param {Options | null | undefined} [options]
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* Configuration.
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* @returns {string}
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* Compiled HTML.
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*
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* @overload
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* @param {Value} value
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* Markdown to parse (`string` or `Uint8Array`).
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* @param {Options | null | undefined} [options]
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* Configuration.
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* @returns {string}
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* Compiled HTML.
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*
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* @param {Value} value
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* Markdown to parse (`string` or `Uint8Array`).
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* @param {Encoding | Options | null | undefined} [encoding]
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* Character encoding to understand `value` as when it’s a `Uint8Array`
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* (`string`, default: `'utf8'`).
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* @param {Options | null | undefined} [options]
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* Configuration.
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* @returns {string}
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* Compiled HTML.
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*/
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export function micromark(value, encoding, options) {
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if (typeof encoding !== 'string') {
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options = encoding
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encoding = undefined
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}
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return compile(options)(
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postprocess(
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parse(options)
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.document()
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.write(preprocess()(value, encoding, true))
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)
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)
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}
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