/** * 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 ExerciseAiSuggestPreviewModal from './ExerciseAiSuggestPreviewModal' import ExerciseAiQuickCreateOffer from './ExerciseAiQuickCreateOffer' import { useExerciseAiQuickCreateFields } from '../hooks/useExerciseAiQuickCreateFields' import { buildQuickCreateAiPreview, buildQuickCreateExercisePayloadFromDraft, aiPreviewToQuickCreateDraft, } 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, /** Planungs-Kontext für KI-Suche (TrainingUnitEditPage o. ä.) */ planningContext = null, /** 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 [quickSaving, setQuickSaving] = useState(false) const [quickAiError, setQuickAiError] = useState('') const [quickCreateDraft, setQuickCreateDraft] = useState(null) const [planningContextSummary, setPlanningContextSummary] = useState(null) const [planningTargetProfileSummary, setPlanningTargetProfileSummary] = useState(null) const [planningLlmRankApplied, setPlanningLlmRankApplied] = useState(false) const [planningQueryIntentSummary, setPlanningQueryIntentSummary] = useState(null) const [planningIntentResolved, setPlanningIntentResolved] = useState(null) const pickerScrollRef = useRef(null) const usePlanningSearch = Boolean(planningContext?.unitId && Number(planningContext.unitId) > 0) const effectivePickerQuery = useMemo( () => [debouncedSearch, debouncedAi].filter(Boolean).join(' ').trim(), [debouncedSearch, debouncedAi] ) const { title: quickTitle, sketch: quickSketch, focusAreaId: quickFocusAreaId, setTitle: setQuickTitle, setSketch: setQuickSketch, setFocusAreaId: setQuickFocusAreaId, resetQuickCreateFields, } = useExerciseAiQuickCreateFields(effectivePickerQuery, { enabled: open && enableQuickCreateDraft }) 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]) const showQuickCreateOffer = enableQuickCreateDraft && catalogsReady && !loading && list.length === 0 && (usePlanningSearch || effectivePickerQuery.length >= 3) 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([]) resetQuickCreateFields() setQuickSaving(false) setQuickAiError('') setQuickCreateDraft(null) setPlanningContextSummary(null) setPlanningTargetProfileSummary(null) setPlanningLlmRankApplied(false) setPlanningQueryIntentSummary(null) setPlanningIntentResolved(null) 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 (!debouncedSearch && debouncedAi) q.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 { if (usePlanningSearch) { const query = effectivePickerQuery const res = await api.suggestPlanningExercises({ unit_id: Number(planningContext.unitId), section_order_index: planningContext.sectionOrderIndex != null ? Number(planningContext.sectionOrderIndex) : null, phase_order_index: planningContext.phaseOrderIndex != null ? Number(planningContext.phaseOrderIndex) : null, parallel_stream_order_index: planningContext.parallelStreamOrderIndex != null ? Number(planningContext.parallelStreamOrderIndex) : null, anchor_exercise_id: planningContext.anchorExerciseId != null ? Number(planningContext.anchorExerciseId) : null, progression_graph_id: planningContext.progressionGraphId != null ? Number(planningContext.progressionGraphId) : null, planned_exercise_ids: Array.isArray(planningContext.plannedExerciseIds) && planningContext.plannedExerciseIds.length > 0 ? planningContext.plannedExerciseIds.map((x) => Number(x)).filter((x) => Number.isFinite(x) && x > 0) : undefined, include_llm_intent: Boolean(query), include_llm_rank: true, query, intent_hint: planningContext.intentHint || null, limit: PAGE_SIZE, exercise_kind_any: Array.isArray(exerciseKindAny) && exerciseKindAny.length > 0 ? exerciseKindAny : undefined, }) setPlanningContextSummary(res?.context_summary || null) setPlanningTargetProfileSummary(res?.target_profile_summary || null) setPlanningLlmRankApplied(Boolean(res?.llm_rank_applied)) setPlanningQueryIntentSummary(res?.query_intent_summary || null) setPlanningIntentResolved(res?.intent_resolved || null) const hits = (Array.isArray(res?.hits) ? res.hits : []).map((h) => ({ id: h.id, title: h.title, summary: h.summary, focus_area: h.focus_area, _planningScore: h.score, _planningReasons: Array.isArray(h.reasons) ? h.reasons : [], updated_at: new Date().toISOString(), })) setList(hits) setHasMore(false) } else { setPlanningContextSummary(null) setPlanningTargetProfileSummary(null) setPlanningLlmRankApplied(false) setPlanningQueryIntentSummary(null) setPlanningIntentResolved(null) 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) setPlanningContextSummary(null) setPlanningTargetProfileSummary(null) setPlanningLlmRankApplied(false) setPlanningQueryIntentSummary(null) setPlanningIntentResolved(null) } finally { setLoading(false) } }, [ open, catalogsReady, queryBase, usePlanningSearch, planningContext, effectivePickerQuery, debouncedSearch, debouncedAi, exerciseKindAny, ]) 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: (index) => { const ex = list[index] const rc = ex?._planningReasons?.length || 0 return rc > 0 ? 96 + Math.min(rc, 3) * 14 : 88 }, overscan: 8, getItemKey: (index) => String(list[index]?.id ?? index), }) const resetFilters = () => setFilters({ ...INITIAL_FILTERS }) const adoptExistingExercise = async (ex) => { if (!ex?.id) return if (multiSelect && typeof onSelectExercises === 'function') { await Promise.resolve(onSelectExercises([ex])) } else if (typeof onSelectExercise === 'function') { await Promise.resolve(onSelectExercise(ex)) } onClose() } const runQuickCreateAiSuggest = async () => { const title = (quickTitle || '').trim() if (title.length < 3) { alert('Titel: mindestens 3 Zeichen.') return } const sketch = (quickSketch || '').trim() const focusId = parseInt(String(quickFocusAreaId).trim(), 10) if (!Number.isFinite(focusId) || focusId < 1) { alert('Bitte einen Fokusbereich wählen.') return } const focusRow = (catalogs.focusAreas || []).find((x) => Number(x.id) === focusId) const focusHint = (focusRow?.name || '').trim() setQuickAiError('') setQuickCreateDraft(null) setQuickSaving(true) try { const aiRes = await api.suggestExerciseAi({ title, goal: sketch || undefined, 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 preview = buildQuickCreateAiPreview(aiRes, { sketchPlain: sketch }) if (!preview.hasSummaryProposal && !preview.hasInstructionChoices && !preview.hasSkillChoices) { throw new Error('Die KI lieferte keinen verwertbaren Vorschlag.') } setQuickCreateDraft( aiPreviewToQuickCreateDraft(preview, { title, focusAreaId: focusId, sketchPlain: sketch }), ) } catch (e) { console.error(e) const msg = e?.message || String(e) setQuickAiError(msg) alert(msg || 'KI-Vorschlag fehlgeschlagen') } finally { setQuickSaving(false) } } const applyQuickCreateDraft = async () => { if (!quickCreateDraft) return setQuickSaving(true) setQuickAiError('') try { const payload = buildQuickCreateExercisePayloadFromDraft(quickCreateDraft) const created = await api.createExercise(payload) if (!created?.id) throw new Error('Anlegen fehlgeschlagen') setQuickCreateDraft(null) await adoptExistingExercise(created) } 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'}

{usePlanningSearch && planningContextSummary ? (
Planungskontext
{planningContextSummary.group_name ? ( {planningContextSummary.group_name} ) : null} {planningContextSummary.unit_title ? ( {planningContextSummary.unit_title} ) : null} {planningContextSummary.section_title ? ( {planningContextSummary.section_title} ) : null} {planningContextSummary.planned_count != null ? ( {planningContextSummary.planned_count} Übungen im Plan ) : null} {planningContextSummary.anchor_title ? ( Anker: {planningContextSummary.anchor_title} ) : null} {Array.isArray(planningTargetProfileSummary?.focus_areas) && planningTargetProfileSummary.focus_areas.length > 0 ? planningTargetProfileSummary.focus_areas.map((fa) => ( Fokus: {fa} )) : null} {Array.isArray(planningTargetProfileSummary?.top_skills) && planningTargetProfileSummary.top_skills.length > 0 ? planningTargetProfileSummary.top_skills.slice(0, 3).map((sk) => ( {sk.name} )) : null}
{planningTargetProfileSummary?.has_skill_gap ? (

Skill-Lücke zum bisherigen Plan berücksichtigt

) : null} {planningQueryIntentSummary?.rationale ? (

{planningQueryIntentSummary.rationale}

) : null} {planningIntentResolved ? (

Modus: {planningIntentResolved.replace(/_/g, ' ')} {planningQueryIntentSummary?.scenario ? ` · ${String(planningQueryIntentSummary.scenario).replace(/_/g, ' ')}` : null} {planningLlmRankApplied ? ' · KI-Ranking aktiv' : null} {planningQueryIntentSummary?.llm_applied ? ' · KI-Intent aktiv' : null}

) : null}
) : null}
setSearchInput(e.target.value)} autoComplete="off" />
setAiSearchInput(e.target.value)} autoComplete="off" /> {usePlanningSearch ? (

Beide Felder bilden eine gemeinsame Planungs-Anfrage.

) : null}
{loading && Suche läuft…}
{filterOpen && (

Felder gelten mit UND. Kataloge: mehrere „+“ = alle zutreffend; „−“ schließt aus. Freigabelevel/Status: mehrere „+“ = eine davon (ODER); „−“ blendet aus.

setFilters((f) => ({ ...f, ...patch }))} />
setFilters((f) => ({ ...f, ...patch }))} /> setFilters((f) => ({ ...f, ...patch }))} /> setFilters((f) => ({ ...f, ...patch }))} />
setFilters((f) => ({ ...f, skill_ids: v }))} skills={catalogs.skills} placeholder="Fähigkeit …" />
setFilters((f) => ({ ...f, ...patch }))} /> setFilters((f) => ({ ...f, ...patch }))} />

Hinweis: Für die Planung werden archivierte Übungen bei der Suche immer mit eingeschlossen (bestehende Zuordnungen).

)}
{!catalogsReady || (loading && list.length === 0) ? (
) : list.length === 0 ? ( showQuickCreateOffer ? ( ) : (

{usePlanningSearch ? effectivePickerQuery ? 'Keine KI-Vorschläge für diese Anfrage.' : 'Keine Vorschläge — Einheit speichern und Planungskontext prüfen, oder Anfrage eingeben.' : effectivePickerQuery.length >= 3 ? 'Keine Treffer.' : 'Suchbegriff eingeben (mind. 3 Zeichen) …'}

) ) : ( <>

{usePlanningSearch ? `${list.length} KI-Vorschläge` : `${list.length} angezeigt`} {hasMore ? ' · weiter unten „Mehr laden“' : ''}

{rowVirtualizer.getVirtualItems().map((vi) => { const ex = list[vi.index] if (!ex) return null const picked = multiPicked.some((p) => p.id === ex.id) const rowInner = ( <> {ex.title} {(ex.summary || '').trim().length > 0 && ( {(ex.summary || '').length > 120 ? `${(ex.summary || '').slice(0, 120)}…` : ex.summary} )} {ex.focus_area && ( {ex.focus_area} )} {(ex.exercise_kind || '').toLowerCase().trim() === 'combination' ? ( Kombination ) : null} {Array.isArray(ex._planningReasons) && ex._planningReasons.length > 0 ? (
    {ex._planningReasons.slice(0, 3).map((r) => (
  • {r}
  • ))}
) : null} ) return (
{multiSelect ? ( ) : ( )}
) })}
{hasMore && (
)} {multiSelect && typeof onSelectExercises === 'function' ? (
{multiPicked.length} ausgewählt
) : null} )}
setQuickCreateDraft(null)} onApply={applyQuickCreateDraft} focusAreas={catalogs.focusAreas} skillsCatalog={catalogs.skills} dialogTitle="Neue Übung — KI-Entwurf bearbeiten" hint="Texte sind formatiert — passe Titel, Kurzfassung, Anleitung und Fähigkeiten an, dann speichern und übernehmen." applyLabel={quickSaving ? 'Wird angelegt…' : 'Anlegen und übernehmen'} applyDisabled={quickSaving} zIndex={2100} />
) }