/** * Übungssuche mit Volltext-, KI-/Semantikfeld (aktuell gleiche Engine wie Suche) und erweiterten Filtern. * Paginierung bis max. 100 Treffer pro Request (API-Limit). */ import React, { useState, useEffect, useMemo, useCallback, useRef } from 'react' import { useVirtualizer } from '@tanstack/react-virtual' import api from '../utils/api' import { useAuth } from '../context/AuthContext' import { SKILL_LEVEL_OPTIONS } from '../constants/skillLevels' import { EXERCISE_VISIBILITY_FIELD_LABEL } from '../constants/exerciseGovernanceLabels' import { INITIAL_EXERCISE_LIST_FILTERS, mergeExerciseListPrefsFromApi, splitMnCatalogRules, splitScalarCatalogRules, } from '../constants/exerciseListFilters' import SkillTreeMultiSelect from './SkillTreeMultiSelect' import ExerciseFocusRulePicker from './ExerciseFocusRulePicker' import CatalogRulePicker from './CatalogRulePicker' import { buildQuickCreateExercisePayload } from '../utils/exerciseAiQuickCreate' const PAGE_SIZE = 100 const LEVEL_FILTER_OPTS = SKILL_LEVEL_OPTIONS.filter((o) => o.level != null) const INITIAL_FILTERS = { ...INITIAL_EXERCISE_LIST_FILTERS } export default function ExercisePickerModal({ open, onClose, onSelectExercise, multiSelect = false, onSelectExercises = null, enableQuickCreateDraft = false, /** Wenn gesetzt: z. B. ['simple'] oder ['combination'] — sonst alle Übungsarten */ exerciseKindAny = undefined, }) { const { user } = useAuth() const [catalogs, setCatalogs] = useState({ focusAreas: [], styleDirections: [], trainingTypes: [], targetGroups: [], skills: [], }) const [catalogsReady, setCatalogsReady] = useState(false) const [searchInput, setSearchInput] = useState('') const [aiSearchInput, setAiSearchInput] = useState('') const [debouncedSearch, setDebouncedSearch] = useState('') const [debouncedAi, setDebouncedAi] = useState('') const [filters, setFilters] = useState(() => ({ ...INITIAL_FILTERS })) const [filterOpen, setFilterOpen] = useState(false) const [list, setList] = useState([]) const [loading, setLoading] = useState(false) const [loadingMore, setLoadingMore] = useState(false) const [hasMore, setHasMore] = useState(false) const [multiPicked, setMultiPicked] = useState([]) const [quickOpen, setQuickOpen] = useState(false) const [quickTitle, setQuickTitle] = useState('') const [quickSketch, setQuickSketch] = useState('') const [quickFocusAreaId, setQuickFocusAreaId] = useState('') const [quickSaving, setQuickSaving] = useState(false) const [quickAiError, setQuickAiError] = useState('') const pickerScrollRef = useRef(null) const toggleMultiPick = (ex) => { setMultiPicked((prev) => prev.some((p) => p.id === ex.id) ? prev.filter((p) => p.id !== ex.id) : [...prev, ex] ) } useEffect(() => { const t = setTimeout(() => setDebouncedSearch(searchInput.trim()), 350) return () => clearTimeout(t) }, [searchInput]) useEffect(() => { const t = setTimeout(() => setDebouncedAi(aiSearchInput.trim()), 350) return () => clearTimeout(t) }, [aiSearchInput]) useEffect(() => { if (!open) return let cancelled = false ;(async () => { try { const [fa, sd, tt, tg, sk] = await Promise.all([ api.listFocusAreas(), api.listStyleDirections(), api.listTrainingTypes(), api.listTargetGroups(), api.listSkillsCatalog(), ]) if (!cancelled) { setCatalogs({ focusAreas: fa, styleDirections: sd, trainingTypes: tt, targetGroups: tg, skills: sk, }) setCatalogsReady(true) } } catch (e) { console.error(e) if (!cancelled) setCatalogsReady(true) } })() return () => { cancelled = true } }, [open]) useEffect(() => { if (!open) { setSearchInput('') setAiSearchInput('') setDebouncedSearch('') setDebouncedAi('') setFilters({ ...INITIAL_FILTERS }) setFilterOpen(false) setList([]) setHasMore(false) setMultiPicked([]) setQuickOpen(false) setQuickTitle('') setQuickSketch('') setQuickFocusAreaId('') setQuickSaving(false) setQuickAiError('') return } setFilters(mergeExerciseListPrefsFromApi(user?.exercise_list_prefs)) }, [open, user?.exercise_list_prefs]) const focusOptions = useMemo( () => catalogs.focusAreas.map((fa) => ({ id: fa.id, label: `${fa.icon || ''} ${fa.name || ''}`.trim() })), [catalogs.focusAreas] ) const styleOptions = useMemo( () => catalogs.styleDirections.map((s) => ({ id: s.id, label: s.name || String(s.id) })), [catalogs.styleDirections] ) const trainingTypeOptions = useMemo( () => catalogs.trainingTypes.map((t) => ({ id: t.id, label: t.name || String(t.id) })), [catalogs.trainingTypes] ) const targetGroupOptions = useMemo( () => catalogs.targetGroups.map((g) => ({ id: g.id, label: g.name || String(g.id) })), [catalogs.targetGroups] ) const visibilityOptions = useMemo( () => [ { id: 'private', label: 'Privat' }, { id: 'club', label: 'Verein' }, { id: 'official', label: 'Offiziell' }, ], [] ) const statusOptions = useMemo( () => [ { id: 'draft', label: 'Entwurf' }, { id: 'in_review', label: 'In Prüfung' }, { id: 'approved', label: 'Freigegeben' }, { id: 'archived', label: 'Archiviert' }, ], [] ) const queryBase = useMemo(() => { const q = {} const n = (v) => (v === '' || v == null ? undefined : Number(v)) const ids = (arr) => Array.isArray(arr) && arr.length ? arr.map((x) => Number(x)).filter((x) => !Number.isNaN(x)) : undefined const fMn = splitMnCatalogRules(filters.focus_rules) if (fMn.includeIds.length) q.focus_area_must_include_ids = fMn.includeIds if (fMn.excludeIds.length) q.focus_area_must_exclude_ids = fMn.excludeIds if (filters.focus_only_without) q.focus_only_without_focus_areas = true const fa = ids(filters.focus_area_ids) if (fa?.length) q.focus_area_ids = fa const sdMn = splitMnCatalogRules(filters.style_direction_rules) if (sdMn.includeIds.length) q.style_direction_must_include_ids = sdMn.includeIds if (sdMn.excludeIds.length) q.style_direction_must_exclude_ids = sdMn.excludeIds const sdLegacy = ids(filters.style_direction_ids) if (sdLegacy?.length) q.style_direction_ids = sdLegacy const ttMn = splitMnCatalogRules(filters.training_type_rules) if (ttMn.includeIds.length) q.training_type_must_include_ids = ttMn.includeIds if (ttMn.excludeIds.length) q.training_type_must_exclude_ids = ttMn.excludeIds const ttLegacy = ids(filters.training_type_ids) if (ttLegacy?.length) q.training_type_ids = ttLegacy const tgMn = splitMnCatalogRules(filters.target_group_rules) if (tgMn.includeIds.length) q.target_group_must_include_ids = tgMn.includeIds if (tgMn.excludeIds.length) q.target_group_must_exclude_ids = tgMn.excludeIds const tgLegacy = ids(filters.target_group_ids) if (tgLegacy?.length) q.target_group_ids = tgLegacy const visMn = splitScalarCatalogRules(filters.visibility_rules) if (visMn.includeVals.length) q.visibility_any = visMn.includeVals if (visMn.excludeVals.length) q.visibility_exclude_any = visMn.excludeVals const stMn = splitScalarCatalogRules(filters.status_rules) if (stMn.includeVals.length) q.status_any = stMn.includeVals if (stMn.excludeVals.length) q.status_exclude_any = stMn.excludeVals const sk = ids(filters.skill_ids) if (sk?.length) q.skill_ids = sk if (filters.skill_min_level) q.skill_min_level = n(filters.skill_min_level) if (filters.skill_max_level) q.skill_max_level = n(filters.skill_max_level) if (filters.exclude_without_focus) q.exclude_without_focus = true if (filters.include_archived) q.include_archived = true if (debouncedSearch) q.search = debouncedSearch if (debouncedAi) q.ai_search = debouncedAi if ( Array.isArray(exerciseKindAny) && exerciseKindAny.length > 0 ) { q.exercise_kind_any = exerciseKindAny } return q }, [filters, debouncedSearch, debouncedAi, exerciseKindAny]) const reload = useCallback(async () => { if (!open || !catalogsReady) return setLoading(true) try { const batch = await api.listExercises({ ...queryBase, include_archived: true, include_variants: true, limit: PAGE_SIZE, offset: 0, }) setList(Array.isArray(batch) ? batch : []) setHasMore(batch?.length === PAGE_SIZE) } catch (e) { console.error(e) alert(e.message || 'Laden fehlgeschlagen') setList([]) setHasMore(false) } finally { setLoading(false) } }, [open, catalogsReady, queryBase]) useEffect(() => { reload() }, [reload]) const loadMore = async () => { if (!hasMore || loadingMore || loading) return const last = list[list.length - 1] if (!last?.id || last.updated_at == null) return setLoadingMore(true) try { const batch = await api.listExercises({ ...queryBase, include_archived: true, include_variants: true, limit: PAGE_SIZE, cursor_updated_at: typeof last.updated_at === 'string' ? last.updated_at : new Date(last.updated_at).toISOString(), cursor_id: last.id, }) setList((prev) => [...prev, ...(Array.isArray(batch) ? batch : [])]) setHasMore(batch?.length === PAGE_SIZE) } catch (e) { console.error(e) alert(e.message || 'Mehr laden fehlgeschlagen') } finally { setLoadingMore(false) } } const rowVirtualizer = useVirtualizer({ count: list.length, getScrollElement: () => pickerScrollRef.current, estimateSize: () => 88, overscan: 8, getItemKey: (index) => String(list[index]?.id ?? index), }) const resetFilters = () => setFilters({ ...INITIAL_FILTERS }) const submitQuickCreate = async () => { const title = (quickTitle || '').trim() if (title.length < 3) { alert('Titel: mindestens 3 Zeichen.') return } const sketch = (quickSketch || '').trim() if (!sketch) { alert('Bitte eine kurze Skizze / Idee eingeben — die KI erzeugt daraus die Anleitung.') return } const focusId = parseInt(String(quickFocusAreaId).trim(), 10) if (!Number.isFinite(focusId) || focusId < 1) { alert('Bitte einen Fokusbereich wählen (für Fähigkeiten-Vorschläge).') return } const focusRow = (catalogs.focusAreas || []).find((x) => Number(x.id) === focusId) const focusHint = (focusRow?.name || '').trim() setQuickAiError('') setQuickSaving(true) try { const aiRes = await api.suggestExerciseAi({ title, goal: sketch, execution: '', preparation: '', trainer_notes: '', focus_area_hint: focusHint || undefined, focus_areas_context: [{ focus_area_id: focusId, is_primary: true }], include_summary: true, include_skills: true, include_instructions: true, }) const payload = buildQuickCreateExercisePayload({ title, focusAreaId: focusId, sketchPlain: sketch, apiRes: aiRes, }) const created = await api.createExercise(payload) if (!created?.id) { throw new Error('Anlegen fehlgeschlagen') } if (multiSelect && typeof onSelectExercises === 'function') { await Promise.resolve(onSelectExercises([created])) } else if (typeof onSelectExercise === 'function') { await Promise.resolve(onSelectExercise(created)) } onClose() } catch (e) { console.error(e) const msg = e?.message || String(e) setQuickAiError(msg) alert(msg || 'Übung konnte nicht angelegt werden') } finally { setQuickSaving(false) } } if (!open) return null return (
{ if (e.target === e.currentTarget) onClose() }} >
e.stopPropagation()} >

{multiSelect ? 'Übungen auswählen' : 'Übung auswählen'}

{enableQuickCreateDraft ? (
{quickOpen ? (

Die KI erzeugt aus Titel und Skizze Anleitung (Ziel, Durchführung, Vorbereitung, Trainer-Hinweise), eine Kurzbeschreibung und Fähigkeiten. Gespeichert als Entwurf (privat) und direkt in den Ablauf übernommen. Benötigt OpenRouter auf dem Server.

setQuickTitle(e.target.value)} autoComplete="off" minLength={3} maxLength={300} placeholder="z. B. Partnerübung Abwehr" />