1c61b80731
- Add rules_engine.py with quantitative rules for all 8 workout types - Add quality gate retry loop in generate_single_workout() - Expand calibrate_structure_rules to all 120 combinations (8 types × 5 goals × 3 sections) - Wire WeeklySplitPattern DB records into _pick_weekly_split() - Enforce movement patterns from WorkoutStructureRule in exercise selection - Add straight-set strength support (single main lift, 4-6 rounds) - Add modality consistency check for duration-dominant workout types - Add InjuryStep component to onboarding and preferences - Add sibling exercise exclusion in regenerate and preview_day endpoints - Display generator warnings on dashboard - Expand fix_rep_durations, fix_exercise_flags, fix_movement_pattern_typo - Add audit_exercise_data and check_rules_drift management commands - Add Next.js frontend with dashboard, onboarding, preferences, history pages - Add generator app with ML-powered workout generation pipeline - 96 new tests across 7 test modules Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
29 lines
683 B
TypeScript
29 lines
683 B
TypeScript
import type { Metadata } from "next";
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import { Inter } from "next/font/google";
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import { AuthProvider } from "@/lib/auth";
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import "@/app/globals.css";
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const inter = Inter({ subsets: ["latin"] });
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export const metadata: Metadata = {
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title: "Werkout",
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description:
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"AI-powered workout generator. Build personalized training plans based on your history and preferences.",
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};
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export default function RootLayout({
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children,
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}: {
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children: React.ReactNode;
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}) {
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return (
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<html lang="en">
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<body
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className={`bg-zinc-950 text-zinc-100 antialiased ${inter.className}`}
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>
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<AuthProvider>{children}</AuthProvider>
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</body>
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</html>
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);
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}
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