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