Files
KanzlAI-mGMT/frontend/src/app/(app)/ai/extract/page.tsx
m 65b70975eb feat: add AI deadline extraction frontend page (Phase 2M)
- ExtractionForm: PDF dropzone (react-dropzone) + text textarea + case selector
- ExtractionResults: review table with edit/remove per row, confidence color-coding
- Page at /ai/extract: upload -> analyze -> review -> adopt deadlines to case
- Extended API client with postFormData for multipart uploads
- Added ExtractedDeadline and ExtractionResponse types
2026-03-25 13:48:53 +01:00

143 lines
4.1 KiB
TypeScript

"use client";
import { useState } from "react";
import { useQuery } from "@tanstack/react-query";
import { useRouter } from "next/navigation";
import { toast } from "sonner";
import { Brain } from "lucide-react";
import { api } from "@/lib/api";
import type {
Case,
ExtractedDeadline,
ExtractionResponse,
PaginatedResponse,
} from "@/lib/types";
import { ExtractionForm } from "@/components/ai/ExtractionForm";
import { ExtractionResults } from "@/components/ai/ExtractionResults";
export default function AIExtractPage() {
const router = useRouter();
const [selectedCaseId, setSelectedCaseId] = useState("");
const [isExtracting, setIsExtracting] = useState(false);
const [isAdopting, setIsAdopting] = useState(false);
const [results, setResults] = useState<ExtractedDeadline[] | null>(null);
const { data: casesData } = useQuery({
queryKey: ["cases"],
queryFn: () => api.get<PaginatedResponse<Case>>("/api/cases"),
});
const cases = casesData?.data ?? [];
async function handleExtract(file: File | null, text: string) {
setIsExtracting(true);
setResults(null);
try {
let response: ExtractionResponse;
if (file) {
const formData = new FormData();
formData.append("file", file);
response = await api.postFormData<ExtractionResponse>(
"/api/ai/extract-deadlines",
formData,
);
} else {
response = await api.post<ExtractionResponse>(
"/api/ai/extract-deadlines",
{ text },
);
}
setResults(response.deadlines);
if (response.count === 0) {
toast.info("Keine Fristen im Dokument gefunden.");
} else {
toast.success(`${response.count} Frist(en) erkannt.`);
}
} catch (err: unknown) {
const message =
err && typeof err === "object" && "error" in err
? (err as { error: string }).error
: "Analyse fehlgeschlagen";
toast.error(message);
} finally {
setIsExtracting(false);
}
}
async function handleAdopt(deadlines: ExtractedDeadline[]) {
if (!selectedCaseId) return;
setIsAdopting(true);
try {
const promises = deadlines.map((d) =>
api.post(`/api/cases/${selectedCaseId}/deadlines`, {
title: d.title,
due_date: d.due_date ?? "",
source: "ai_extraction",
notes: [
d.rule_reference ? `Rechtsgrundlage: ${d.rule_reference}` : "",
d.source_quote ? `Quelle: "${d.source_quote}"` : "",
`Konfidenz: ${Math.round(d.confidence * 100)}%`,
]
.filter(Boolean)
.join("\n"),
}),
);
await Promise.all(promises);
toast.success(
`${deadlines.length} Frist(en) erfolgreich uebernommen.`,
);
router.push(`/akten/${selectedCaseId}`);
} catch (err: unknown) {
const message =
err && typeof err === "object" && "error" in err
? (err as { error: string }).error
: "Uebernahme fehlgeschlagen";
toast.error(message);
} finally {
setIsAdopting(false);
}
}
return (
<div className="mx-auto max-w-4xl">
<div className="mb-6 flex items-center gap-3">
<Brain className="h-5 w-5 text-neutral-500" />
<div>
<h1 className="text-lg font-semibold text-neutral-900">
AI Fristenanalyse
</h1>
<p className="text-sm text-neutral-500">
Fristen automatisch aus Dokumenten extrahieren
</p>
</div>
</div>
<div className="rounded-lg border border-neutral-200 bg-white p-6">
<ExtractionForm
cases={cases}
selectedCaseId={selectedCaseId}
onCaseChange={setSelectedCaseId}
onExtract={handleExtract}
isLoading={isExtracting}
/>
</div>
{results !== null && (
<div className="mt-6 rounded-lg border border-neutral-200 bg-white p-6">
<ExtractionResults
deadlines={results}
onAdopt={handleAdopt}
isAdopting={isAdopting}
/>
</div>
)}
</div>
);
}