tftsr-devops_investigation/node_modules/lodash/_createRound.js
Shaun Arman 8839075805 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>
2026-03-14 22:36:25 -05:00

36 lines
1.2 KiB
JavaScript

var root = require('./_root'),
toInteger = require('./toInteger'),
toNumber = require('./toNumber'),
toString = require('./toString');
/* Built-in method references for those with the same name as other `lodash` methods. */
var nativeIsFinite = root.isFinite,
nativeMin = Math.min;
/**
* Creates a function like `_.round`.
*
* @private
* @param {string} methodName The name of the `Math` method to use when rounding.
* @returns {Function} Returns the new round function.
*/
function createRound(methodName) {
var func = Math[methodName];
return function(number, precision) {
number = toNumber(number);
precision = precision == null ? 0 : nativeMin(toInteger(precision), 292);
if (precision && nativeIsFinite(number)) {
// Shift with exponential notation to avoid floating-point issues.
// See [MDN](https://mdn.io/round#Examples) for more details.
var pair = (toString(number) + 'e').split('e'),
value = func(pair[0] + 'e' + (+pair[1] + precision));
pair = (toString(value) + 'e').split('e');
return +(pair[0] + 'e' + (+pair[1] - precision));
}
return func(number);
};
}
module.exports = createRound;