- 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>
51 lines
1.1 KiB
TypeScript
51 lines
1.1 KiB
TypeScript
"use client";
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interface SliderProps {
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min: number;
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max: number;
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value: number;
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onChange: (value: number) => void;
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step?: number;
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label?: string;
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unit?: string;
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className?: string;
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}
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export function Slider({
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min,
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max,
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value,
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onChange,
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step = 1,
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label,
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unit,
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className = "",
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}: SliderProps) {
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return (
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<div className={`flex flex-col gap-2 ${className}`}>
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{(label || unit) && (
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<div className="flex items-center justify-between">
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{label && (
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<label className="text-sm font-medium text-zinc-300">
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{label}
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</label>
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)}
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<span className="text-sm font-semibold text-accent tabular-nums">
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{value}
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{unit && <span className="ml-0.5 text-zinc-400">{unit}</span>}
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</span>
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</div>
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)}
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<input
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type="range"
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min={min}
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max={max}
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step={step}
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value={value}
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onChange={(e) => onChange(Number(e.target.value))}
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className="range-slider w-full h-2 rounded-full appearance-none cursor-pointer bg-zinc-700"
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/>
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</div>
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);
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}
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