tftsr-devops_investigation/node_modules/mdast-util-to-markdown/lib/handle/heading.js

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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>
2026-03-15 03:36:25 +00:00
/**
* @import {Info, State} from 'mdast-util-to-markdown'
* @import {Heading, Parents} from 'mdast'
*/
import {encodeCharacterReference} from '../util/encode-character-reference.js'
import {formatHeadingAsSetext} from '../util/format-heading-as-setext.js'
/**
* @param {Heading} node
* @param {Parents | undefined} _
* @param {State} state
* @param {Info} info
* @returns {string}
*/
export function heading(node, _, state, info) {
const rank = Math.max(Math.min(6, node.depth || 1), 1)
const tracker = state.createTracker(info)
if (formatHeadingAsSetext(node, state)) {
const exit = state.enter('headingSetext')
const subexit = state.enter('phrasing')
const value = state.containerPhrasing(node, {
...tracker.current(),
before: '\n',
after: '\n'
})
subexit()
exit()
return (
value +
'\n' +
(rank === 1 ? '=' : '-').repeat(
// The whole size…
value.length -
// Minus the position of the character after the last EOL (or
// 0 if there is none)…
(Math.max(value.lastIndexOf('\r'), value.lastIndexOf('\n')) + 1)
)
)
}
const sequence = '#'.repeat(rank)
const exit = state.enter('headingAtx')
const subexit = state.enter('phrasing')
// Note: for proper tracking, we should reset the output positions when there
// is no content returned, because then the space is not output.
// Practically, in that case, there is no content, so it doesnt matter that
// weve tracked one too many characters.
tracker.move(sequence + ' ')
let value = state.containerPhrasing(node, {
before: '# ',
after: '\n',
...tracker.current()
})
if (/^[\t ]/.test(value)) {
// To do: what effect has the character reference on tracking?
value = encodeCharacterReference(value.charCodeAt(0)) + value.slice(1)
}
value = value ? sequence + ' ' + value : sequence
if (state.options.closeAtx) {
value += ' ' + sequence
}
subexit()
exit()
return value
}