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>
59 lines
1.9 KiB
TypeScript
59 lines
1.9 KiB
TypeScript
import React from "react";
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import type { ProviderConfig } from "@/lib/tauriCommands";
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import { useSettingsStore } from "@/stores/settingsStore";
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interface ModelSelectorProps {
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onSelect: (provider: ProviderConfig) => void;
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selectedProvider?: ProviderConfig;
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}
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export function ModelSelector({ onSelect, selectedProvider }: ModelSelectorProps) {
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const providers = useSettingsStore((s) => s.ai_providers);
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const grouped = providers.reduce<Record<string, ProviderConfig[]>>((acc, p) => {
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const key = p.name;
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if (!acc[key]) acc[key] = [];
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acc[key].push(p);
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return acc;
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}, {});
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const providerTypeLabels: Record<string, string> = {
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openai: "OpenAI",
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anthropic: "Anthropic",
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ollama: "Ollama (Local)",
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azure: "Azure OpenAI",
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custom: "Custom",
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};
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return (
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<div className="relative">
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<select
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value={selectedProvider?.name ?? ""}
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onChange={(e) => {
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const provider = providers.find((p) => p.name === e.target.value);
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if (provider) onSelect(provider);
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}}
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className="flex h-10 w-full items-center rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2"
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>
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<option value="" disabled>
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Select a model...
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</option>
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{Object.entries(grouped).map(([type, configs]) => (
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<optgroup key={type} label={providerTypeLabels[type] ?? type}>
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{configs.map((config) => (
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<option key={config.name} value={config.name}>
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{config.name} ({config.model})
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</option>
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))}
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</optgroup>
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))}
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</select>
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{providers.length === 0 && (
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<p className="mt-1 text-xs text-muted-foreground">
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No providers configured. Add one in Settings > AI Providers.
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</p>
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)}
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</div>
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);
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}
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