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> |
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| index.js | ||
| LICENSE | ||
| package.json | ||
| README.md | ||
run-parallel

Run an array of functions in parallel
install
npm install run-parallel
usage
parallel(tasks, [callback])
Run the tasks array of functions in parallel, without waiting until the previous
function has completed. If any of the functions pass an error to its callback, the main
callback is immediately called with the value of the error. Once the tasks have
completed, the results are passed to the final callback as an array.
It is also possible to use an object instead of an array. Each property will be run as a
function and the results will be passed to the final callback as an object instead of
an array. This can be a more readable way of handling the results.
arguments
tasks- An array or object containing functions to run. Each function is passed acallback(err, result)which it must call on completion with an errorerr(which can benull) and an optionalresultvalue.callback(err, results)- An optional callback to run once all the functions have completed. This function gets a results array (or object) containing all the result arguments passed to the task callbacks.
example
var parallel = require('run-parallel')
parallel([
function (callback) {
setTimeout(function () {
callback(null, 'one')
}, 200)
},
function (callback) {
setTimeout(function () {
callback(null, 'two')
}, 100)
}
],
// optional callback
function (err, results) {
// the results array will equal ['one','two'] even though
// the second function had a shorter timeout.
})
This module is basically equavalent to
async.parallel, but it's
handy to just have the one function you need instead of the kitchen sink. Modularity!
Especially handy if you're serving to the browser and need to reduce your javascript
bundle size.
Works great in the browser with browserify!
see also
license
MIT. Copyright (c) Feross Aboukhadijeh.
