feat: add AI-powered finance and project risk analysis features with pgvector support for RAG embeddings
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import { createClient } from "@/lib/supabase/server";
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import { ClientDetailClient, type ClientDetailData, type ClientActivity } from "./client-detail-client";
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import { notFound } from "next/navigation";
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export default async function ClientDetailPage({ params }: { params: Promise<{ id: string }> }) {
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const { id } = await params;
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const supabase = await createClient();
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const { data: { user } } = await supabase.auth.getUser();
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if (!user) return null;
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const { data: clientData, error } = await supabase
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.from("clients")
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.select("id, name, company_name, email, phone, website, pipeline_stage, status, notes")
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.eq("id", id)
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.eq("user_id", user.id)
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.single();
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if (error || !clientData) {
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notFound();
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}
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const { data: activitiesData } = await supabase
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.from("client_activities")
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.select("id, type, title, content, activity_date, created_at")
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.eq("client_id", id)
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.eq("user_id", user.id)
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.order("activity_date", { ascending: false });
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const client: ClientDetailData = clientData as ClientDetailData;
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const activities: ClientActivity[] = (activitiesData || []) as ClientActivity[];
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return <ClientDetailClient client={client} activities={activities} />;
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}
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