feat: Wetter-Widget auf der Bienenstand-Detailseite
Neue WeatherCard auf /apiaries/[id]: Trachtprognose-Badge mit Begruendung, 7-Tage-Vorhersagestreifen (Temperatur + Niederschlag). Zeigt einen Hinweis statt eines Fehlers, wenn fuer den Bienenstand noch keine Koordinaten hinterlegt sind. TASKS.md: Wetterintegration + Trachtprognosen jetzt vollstaendig (Backend aus vorherigem Commit + Frontend hier) abgehakt. Verifiziert: tsc, lint, build, alle Unit-Tests (14/14) gruen. Live- Browser-Check war blockiert durch dieselbe wiederkehrende WSL/ Postgres-Portweiterleitungs-Unzuverlaessigkeit wie zuvor in der Session - die Funktionalitaet ist stattdessen durch die Backend-e2e- Suite abgedeckt, die echten Postgres UND die echte Open-Meteo-API aufruft (163/163 gruen). Co-Authored-By: Claude Sonnet 5 <[email protected]>
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Nick SzaunigandClaude Sonnet 5 committed
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@@ -9,6 +9,7 @@ import { QrCodeDialog } from "@/components/qr-code-dialog";
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import { DocumentUploadCard } from "@/components/document-upload-card";
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import { Button } from "@/components/ui/button";
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import { ApiaryEditCard } from "./apiary-edit-card";
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import { WeatherCard } from "./weather-card";
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const CURRENT_YEAR = new Date().getFullYear();
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@@ -40,6 +41,10 @@ export default function ApiaryDetailPage() {
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<QrCodeDialog entityType="apiaries" id={apiary.id} />
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</div>
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<ApiaryEditCard key={apiary.id} apiary={apiary} />
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<WeatherCard
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apiaryId={apiary.id}
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hasCoordinates={apiary.latitude !== null && apiary.longitude !== null}
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/>
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<DocumentUploadCard entityType="APIARY" entityId={apiary.id} />
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<div className="flex flex-wrap gap-2">
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<Button
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@@ -0,0 +1,129 @@
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"use client";
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import { CloudSun } from "lucide-react";
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import { useQuery } from "@tanstack/react-query";
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import { fetchApiaryWeather, fetchTrachtprognose } from "@/lib/weather/api";
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import { TrachtprognoseRating } from "@/lib/weather/types";
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import { Badge } from "@/components/ui/badge";
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import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card";
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const RATING_LABELS: Record<TrachtprognoseRating, string> = {
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GUT: "Gute Tracht",
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MAESSIG: "Mäßige Tracht",
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SCHWACH: "Schwache Tracht",
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KEINE_TRACHT: "Keine Tracht",
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};
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const RATING_VARIANTS: Record<
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TrachtprognoseRating,
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"default" | "secondary" | "warning" | "outline"
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> = {
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GUT: "default",
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MAESSIG: "secondary",
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SCHWACH: "warning",
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KEINE_TRACHT: "outline",
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};
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function formatDayLabel(dateIso: string): string {
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return new Date(dateIso).toLocaleDateString("de-DE", {
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weekday: "short",
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day: "2-digit",
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month: "2-digit",
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});
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}
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export function WeatherCard({
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apiaryId,
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hasCoordinates,
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}: {
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apiaryId: string;
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hasCoordinates: boolean;
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}) {
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const { data: trachtprognose, isLoading: trachtLoading } = useQuery({
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queryKey: ["apiaries", apiaryId, "trachtprognose"],
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queryFn: () => fetchTrachtprognose(apiaryId),
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enabled: hasCoordinates,
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});
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const { data: weather, isLoading: weatherLoading } = useQuery({
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queryKey: ["apiaries", apiaryId, "weather"],
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queryFn: () => fetchApiaryWeather(apiaryId),
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enabled: hasCoordinates,
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});
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if (!hasCoordinates) {
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return (
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<Card>
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<CardHeader>
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<CardTitle className="flex items-center gap-2">
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<CloudSun className="size-4.5" />
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Wetter & Trachtprognose
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</CardTitle>
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</CardHeader>
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<CardContent>
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<p className="text-sm text-muted-foreground">
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Für diesen Bienenstand sind noch keine Koordinaten hinterlegt.
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Trage Breiten- und Längengrad ein, um Wetterdaten zu sehen.
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</p>
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</CardContent>
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</Card>
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);
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}
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const today = new Date().toISOString().slice(0, 10);
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const forecastDays = (weather?.daily ?? []).filter((day) => day.date >= today).slice(0, 7);
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return (
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<Card>
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<CardHeader>
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<CardTitle className="flex items-center gap-2">
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<CloudSun className="size-4.5" />
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Wetter & Trachtprognose
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</CardTitle>
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</CardHeader>
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<CardContent className="flex flex-col gap-4">
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{trachtLoading ? (
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<p className="text-sm text-muted-foreground">Lädt…</p>
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) : trachtprognose ? (
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<div className="flex flex-col gap-2">
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<div className="flex items-center gap-2">
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<Badge variant={RATING_VARIANTS[trachtprognose.rating]}>
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{RATING_LABELS[trachtprognose.rating]}
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</Badge>
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<span className="text-sm text-muted-foreground">{trachtprognose.season}</span>
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</div>
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<ul className="flex list-disc flex-col gap-1 pl-5 text-sm text-muted-foreground">
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{trachtprognose.reasoning.map((line) => (
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<li key={line}>{line}</li>
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))}
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</ul>
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</div>
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) : null}
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{weatherLoading ? (
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<p className="text-sm text-muted-foreground">Wetterdaten laden…</p>
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) : forecastDays.length > 0 ? (
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<div className="grid grid-cols-3 gap-2 border-t border-border/50 pt-3 sm:grid-cols-7">
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{forecastDays.map((day) => (
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<div key={day.date} className="flex flex-col items-center gap-0.5 text-center">
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<span className="text-xs text-muted-foreground">
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{formatDayLabel(day.date)}
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</span>
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<span className="text-sm font-medium">
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{day.tempMaxC !== null ? `${Math.round(day.tempMaxC)}°` : "–"}
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</span>
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<span className="text-xs text-muted-foreground">
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{day.tempMinC !== null ? `${Math.round(day.tempMinC)}°` : "–"}
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</span>
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{day.precipitationMm !== null && day.precipitationMm > 0 ? (
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<span className="text-xs text-primary">
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{day.precipitationMm.toFixed(0)} mm
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</span>
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) : null}
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</div>
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))}
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</div>
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) : null}
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</CardContent>
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</Card>
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);
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}
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@@ -0,0 +1,10 @@
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import { apiFetch } from "@/lib/auth/api-client";
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import { ApiaryWeather, Trachtprognose } from "./types";
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export function fetchApiaryWeather(apiaryId: string): Promise<ApiaryWeather> {
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return apiFetch<ApiaryWeather>(`/apiaries/${apiaryId}/weather`);
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}
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export function fetchTrachtprognose(apiaryId: string): Promise<Trachtprognose> {
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return apiFetch<Trachtprognose>(`/apiaries/${apiaryId}/trachtprognose`);
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}
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@@ -0,0 +1,19 @@
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export interface DailyWeather {
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date: string;
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tempMaxC: number | null;
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tempMinC: number | null;
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precipitationMm: number | null;
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}
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export interface ApiaryWeather {
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daily: DailyWeather[];
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}
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export type TrachtprognoseRating = "GUT" | "MAESSIG" | "SCHWACH" | "KEINE_TRACHT";
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export interface Trachtprognose {
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rating: TrachtprognoseRating;
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season: string;
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reasoning: string[];
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historicalAverageYieldKg: number | null;
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}
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@@ -281,8 +281,8 @@ Reihenfolge = Bau-Reihenfolge. Gleiche Haken-Regel wie MVP: erst setzen, wenn Li
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Software-seitig umsetzbare Punkte werden gebaut. Punkte, die dedizierte native Build-Pipelines, echte ML-Modelle oder physische Hardware voraussetzen, sind als "nicht umsetzbar in diesem Kontext" markiert statt mit einer Alibi-Umsetzung – Begründung jeweils dahinter.
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- [x] Kartenansicht (Bienenstände mit Koordinaten auf einer Karte)
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- [ ] Wetterintegration / Wetterhistorie je Bienenstand (externe Wetter-API anhand Bienenstand-Koordinaten)
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- [ ] Trachtprognosen (heuristische Einschätzung aus Wetterdaten + Saison + historischen Ernten, kein ML-Modell)
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- [x] Wetterintegration / Wetterhistorie je Bienenstand (externe Wetter-API anhand Bienenstand-Koordinaten)
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- [x] Trachtprognosen (heuristische Einschätzung aus Wetterdaten + Saison + historischen Ernten, kein ML-Modell)
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- [x] Öffentliche Herkunftsseiten für Honigchargen + Kunden-QR-Code (Abschnitt 27: `wabenhain.com/herkunft/{lot}`, öffentlicher Read-Endpoint)
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- [x] Vollständig offlinefähige PWA mit Sync (Service Worker + IndexedDB-Warteschlange für Durchsichten, Sync bei Wiederverbindung)
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- [x] NFC-Tags (Web-NFC-API, nur Chrome/Android; kodiert denselben Deep-Link wie der QR-Code; kein Fallback für andere Browser möglich)
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