tftsr-devops_investigation/node_modules/flat/cli.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
#!/usr/bin/env node
const fs = require('fs')
const path = require('path')
const readline = require('readline')
const flat = require('./index')
const filepath = process.argv.slice(2)[0]
if (filepath) {
// Read from file
const file = path.resolve(process.cwd(), filepath)
fs.accessSync(file, fs.constants.R_OK) // allow to throw if not readable
out(require(file))
} else if (process.stdin.isTTY) {
usage(0)
} else {
// Read from newline-delimited STDIN
const lines = []
readline.createInterface({
input: process.stdin,
output: process.stdout,
terminal: false
})
.on('line', line => lines.push(line))
.on('close', () => out(JSON.parse(lines.join('\n'))))
}
function out (data) {
process.stdout.write(JSON.stringify(flat(data), null, 2))
}
function usage (code) {
console.log(`
Usage:
flat foo.json
cat foo.json | flat
`)
process.exit(code || 0)
}