tftsr-devops_investigation/node_modules/chardet/lib/encoding/utf8.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

72 lines
2.2 KiB
JavaScript

"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
const match_1 = __importDefault(require("../match"));
class Utf8 {
name() {
return 'UTF-8';
}
match(det) {
let hasBOM = false, numValid = 0, numInvalid = 0, trailBytes = 0, confidence;
const input = det.rawInput;
if (det.rawLen >= 3 &&
(input[0] & 0xff) == 0xef &&
(input[1] & 0xff) == 0xbb &&
(input[2] & 0xff) == 0xbf) {
hasBOM = true;
}
for (let i = 0; i < det.rawLen; i++) {
const b = input[i];
if ((b & 0x80) == 0)
continue;
if ((b & 0x0e0) == 0x0c0) {
trailBytes = 1;
}
else if ((b & 0x0f0) == 0x0e0) {
trailBytes = 2;
}
else if ((b & 0x0f8) == 0xf0) {
trailBytes = 3;
}
else {
numInvalid++;
if (numInvalid > 5)
break;
trailBytes = 0;
}
for (;;) {
i++;
if (i >= det.rawLen)
break;
if ((input[i] & 0xc0) != 0x080) {
numInvalid++;
break;
}
if (--trailBytes == 0) {
numValid++;
break;
}
}
}
confidence = 0;
if (hasBOM && numInvalid == 0)
confidence = 100;
else if (hasBOM && numValid > numInvalid * 10)
confidence = 80;
else if (numValid > 3 && numInvalid == 0)
confidence = 100;
else if (numValid > 0 && numInvalid == 0)
confidence = 80;
else if (numValid == 0 && numInvalid == 0)
confidence = 10;
else if (numValid > numInvalid * 10)
confidence = 25;
else
return null;
return (0, match_1.default)(det, this, confidence);
}
}
exports.default = Utf8;
//# sourceMappingURL=utf8.js.map