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>
46 lines
1.5 KiB
JavaScript
46 lines
1.5 KiB
JavaScript
"use strict";
|
|
Object.defineProperty(exports, "__esModule", { value: true });
|
|
const utils = require("../../utils");
|
|
class Matcher {
|
|
constructor(_patterns, _settings, _micromatchOptions) {
|
|
this._patterns = _patterns;
|
|
this._settings = _settings;
|
|
this._micromatchOptions = _micromatchOptions;
|
|
this._storage = [];
|
|
this._fillStorage();
|
|
}
|
|
_fillStorage() {
|
|
for (const pattern of this._patterns) {
|
|
const segments = this._getPatternSegments(pattern);
|
|
const sections = this._splitSegmentsIntoSections(segments);
|
|
this._storage.push({
|
|
complete: sections.length <= 1,
|
|
pattern,
|
|
segments,
|
|
sections
|
|
});
|
|
}
|
|
}
|
|
_getPatternSegments(pattern) {
|
|
const parts = utils.pattern.getPatternParts(pattern, this._micromatchOptions);
|
|
return parts.map((part) => {
|
|
const dynamic = utils.pattern.isDynamicPattern(part, this._settings);
|
|
if (!dynamic) {
|
|
return {
|
|
dynamic: false,
|
|
pattern: part
|
|
};
|
|
}
|
|
return {
|
|
dynamic: true,
|
|
pattern: part,
|
|
patternRe: utils.pattern.makeRe(part, this._micromatchOptions)
|
|
};
|
|
});
|
|
}
|
|
_splitSegmentsIntoSections(segments) {
|
|
return utils.array.splitWhen(segments, (segment) => segment.dynamic && utils.pattern.hasGlobStar(segment.pattern));
|
|
}
|
|
}
|
|
exports.default = Matcher;
|