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>
89 lines
2.6 KiB
JavaScript
89 lines
2.6 KiB
JavaScript
import { AsyncAction } from './AsyncAction';
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import { Subscription } from '../Subscription';
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import { AsyncScheduler } from './AsyncScheduler';
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export class VirtualTimeScheduler extends AsyncScheduler {
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constructor(schedulerActionCtor = VirtualAction, maxFrames = Infinity) {
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super(schedulerActionCtor, () => this.frame);
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this.maxFrames = maxFrames;
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this.frame = 0;
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this.index = -1;
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}
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flush() {
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const { actions, maxFrames } = this;
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let error;
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let action;
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while ((action = actions[0]) && action.delay <= maxFrames) {
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actions.shift();
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this.frame = action.delay;
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if ((error = action.execute(action.state, action.delay))) {
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break;
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}
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}
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if (error) {
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while ((action = actions.shift())) {
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action.unsubscribe();
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}
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throw error;
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}
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}
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}
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VirtualTimeScheduler.frameTimeFactor = 10;
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export class VirtualAction extends AsyncAction {
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constructor(scheduler, work, index = (scheduler.index += 1)) {
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super(scheduler, work);
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this.scheduler = scheduler;
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this.work = work;
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this.index = index;
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this.active = true;
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this.index = scheduler.index = index;
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}
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schedule(state, delay = 0) {
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if (Number.isFinite(delay)) {
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if (!this.id) {
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return super.schedule(state, delay);
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}
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this.active = false;
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const action = new VirtualAction(this.scheduler, this.work);
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this.add(action);
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return action.schedule(state, delay);
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}
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else {
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return Subscription.EMPTY;
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}
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}
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requestAsyncId(scheduler, id, delay = 0) {
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this.delay = scheduler.frame + delay;
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const { actions } = scheduler;
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actions.push(this);
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actions.sort(VirtualAction.sortActions);
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return 1;
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}
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recycleAsyncId(scheduler, id, delay = 0) {
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return undefined;
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}
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_execute(state, delay) {
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if (this.active === true) {
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return super._execute(state, delay);
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}
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}
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static sortActions(a, b) {
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if (a.delay === b.delay) {
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if (a.index === b.index) {
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return 0;
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}
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else if (a.index > b.index) {
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return 1;
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}
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else {
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return -1;
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}
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}
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else if (a.delay > b.delay) {
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return 1;
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}
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else {
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return -1;
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}
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}
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}
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//# sourceMappingURL=VirtualTimeScheduler.js.map
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