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
1.7 KiB
JavaScript
46 lines
1.7 KiB
JavaScript
var isBrowser = true;
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function getRegisteredStyles(registered, registeredStyles, classNames) {
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var rawClassName = '';
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classNames.split(' ').forEach(function (className) {
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if (registered[className] !== undefined) {
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registeredStyles.push(registered[className] + ";");
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} else if (className) {
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rawClassName += className + " ";
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}
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});
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return rawClassName;
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}
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var registerStyles = function registerStyles(cache, serialized, isStringTag) {
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var className = cache.key + "-" + serialized.name;
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if ( // we only need to add the styles to the registered cache if the
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// class name could be used further down
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// the tree but if it's a string tag, we know it won't
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// so we don't have to add it to registered cache.
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// this improves memory usage since we can avoid storing the whole style string
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(isStringTag === false || // we need to always store it if we're in compat mode and
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// in node since emotion-server relies on whether a style is in
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// the registered cache to know whether a style is global or not
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// also, note that this check will be dead code eliminated in the browser
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isBrowser === false ) && cache.registered[className] === undefined) {
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cache.registered[className] = serialized.styles;
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}
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};
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var insertStyles = function insertStyles(cache, serialized, isStringTag) {
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registerStyles(cache, serialized, isStringTag);
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var className = cache.key + "-" + serialized.name;
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if (cache.inserted[serialized.name] === undefined) {
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var current = serialized;
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do {
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cache.insert(serialized === current ? "." + className : '', current, cache.sheet, true);
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current = current.next;
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} while (current !== undefined);
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}
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};
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export { getRegisteredStyles, insertStyles, registerStyles };
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