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pn-new-crm/src/components/interests/recommendation-list.tsx
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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 13:01:47 +02:00

125 lines
4.2 KiB
TypeScript

'use client';
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query';
import { Sparkles, Loader2 } from 'lucide-react';
import { Button } from '@/components/ui/button';
import { Badge } from '@/components/ui/badge';
import { apiFetch } from '@/lib/api/client';
interface Recommendation {
id: string;
berthId: string;
matchScore: string | null;
matchReasons: Record<string, number> | null;
source: string;
mooringNumber: string;
area: string | null;
status: string;
lengthFt: string | null;
widthFt: string | null;
draftFt: string | null;
}
interface RecommendationListProps {
interestId: string;
}
export function RecommendationList({ interestId }: RecommendationListProps) {
const queryClient = useQueryClient();
const { data, isLoading } = useQuery<{ data: Recommendation[] }>({
queryKey: ['interest-recommendations', interestId],
queryFn: () => apiFetch(`/api/v1/interests/${interestId}/recommendations`),
});
const generateMutation = useMutation({
mutationFn: () =>
apiFetch(`/api/v1/interests/${interestId}/recommendations/generate`, {
method: 'POST',
}),
onSuccess: () => {
queryClient.invalidateQueries({ queryKey: ['interest-recommendations', interestId] });
},
});
const recommendations = data?.data ?? [];
return (
<div className="space-y-4">
<div className="flex items-center justify-between">
<p className="text-sm text-muted-foreground">
AI-scored berth recommendations based on yacht dimensions.
</p>
<Button
size="sm"
variant="outline"
onClick={() => generateMutation.mutate()}
disabled={generateMutation.isPending}
>
{generateMutation.isPending ? (
<Loader2 className="mr-1.5 h-4 w-4 animate-spin" />
) : (
<Sparkles className="mr-1.5 h-4 w-4" />
)}
Generate Recommendations
</Button>
</div>
{isLoading ? (
<div className="space-y-2">
{[...Array(3)].map((_, i) => (
<div key={i} className="h-16 bg-muted rounded animate-pulse" />
))}
</div>
) : recommendations.length === 0 ? (
<div className="text-center py-12 text-muted-foreground">
<p>No recommendations yet. Click &quot;Generate Recommendations&quot; to get started.</p>
</div>
) : (
<div className="space-y-2">
{recommendations.map((rec) => {
const score = rec.matchScore ? Math.round(parseFloat(rec.matchScore)) : 0;
return (
<div key={rec.id} className="border rounded-lg p-3 flex items-center gap-4">
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2 mb-1">
<span className="text-sm font-medium">{rec.mooringNumber}</span>
{rec.area && <span className="text-xs text-muted-foreground">{rec.area}</span>}
<Badge
variant={rec.source === 'ai' ? 'secondary' : 'outline'}
className="text-xs"
>
{rec.source === 'ai' ? 'AI' : 'Manual'}
</Badge>
</div>
{rec.matchScore && (
<div className="flex items-center gap-2">
<div className="flex-1 h-1.5 bg-muted rounded-full overflow-hidden">
<div
className="h-full bg-primary rounded-full"
style={{ width: `${score}%` }}
/>
</div>
<span className="text-xs text-muted-foreground w-8">{score}%</span>
</div>
)}
{(rec.lengthFt || rec.widthFt) && (
<p className="text-xs text-muted-foreground mt-1">
{rec.lengthFt && `${rec.lengthFt}ft length`}
{rec.lengthFt && rec.widthFt && ' · '}
{rec.widthFt && `${rec.widthFt}ft beam`}
</p>
)}
</div>
</div>
);
})}
</div>
)}
</div>
);
}