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>
76 lines
2.0 KiB
JavaScript
76 lines
2.0 KiB
JavaScript
/**
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* @import {Info, State} from 'mdast-util-to-markdown'
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* @import {Heading, Parents} from 'mdast'
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*/
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import {encodeCharacterReference} from '../util/encode-character-reference.js'
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import {formatHeadingAsSetext} from '../util/format-heading-as-setext.js'
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/**
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* @param {Heading} node
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* @param {Parents | undefined} _
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* @param {State} state
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* @param {Info} info
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* @returns {string}
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*/
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export function heading(node, _, state, info) {
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const rank = Math.max(Math.min(6, node.depth || 1), 1)
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const tracker = state.createTracker(info)
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if (formatHeadingAsSetext(node, state)) {
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const exit = state.enter('headingSetext')
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const subexit = state.enter('phrasing')
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const value = state.containerPhrasing(node, {
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...tracker.current(),
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before: '\n',
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after: '\n'
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})
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subexit()
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exit()
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return (
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value +
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'\n' +
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(rank === 1 ? '=' : '-').repeat(
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// The whole size…
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value.length -
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// Minus the position of the character after the last EOL (or
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// 0 if there is none)…
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(Math.max(value.lastIndexOf('\r'), value.lastIndexOf('\n')) + 1)
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)
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)
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}
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const sequence = '#'.repeat(rank)
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const exit = state.enter('headingAtx')
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const subexit = state.enter('phrasing')
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// Note: for proper tracking, we should reset the output positions when there
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// is no content returned, because then the space is not output.
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// Practically, in that case, there is no content, so it doesn’t matter that
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// we’ve tracked one too many characters.
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tracker.move(sequence + ' ')
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let value = state.containerPhrasing(node, {
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before: '# ',
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after: '\n',
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...tracker.current()
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})
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if (/^[\t ]/.test(value)) {
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// To do: what effect has the character reference on tracking?
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value = encodeCharacterReference(value.charCodeAt(0)) + value.slice(1)
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}
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value = value ? sequence + ' ' + value : sequence
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if (state.options.closeAtx) {
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value += ' ' + sequence
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}
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subexit()
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exit()
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return value
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}
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