Lars
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- Updated the `ProgressionGraphSlotEditorSpec.md` to reflect UI consolidation, removing separate editors and integrating functionalities into `ExerciseProgressionGraphPanel`. - Refactored `ExerciseProgressionGraphPanel` to streamline the editing experience, removing unused state and logic for better performance. - Enhanced `ProgressionGraphEditor` to support embedded usage and trigger callbacks on save, improving integration with other components. - Simplified `ProgressionGraphEditPage` to redirect users to the exercises list with deep-linking support for selected graphs. - Incremented application version to reflect these updates.
740 lines
24 KiB
JavaScript
740 lines
24 KiB
JavaScript
/**
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* Integrierter Slot-Editor für Progressionsgraphen (Phase B).
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*/
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import React, { useCallback, useEffect, useMemo, useState } from 'react'
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import { Link } from 'react-router-dom'
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import api from '../utils/api'
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import ExercisePickerModal from './ExercisePickerModal'
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import ExerciseGapFillPrepModal from './exercises/ExerciseGapFillPrepModal'
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import ProgressionSlotCard from './ProgressionSlotCard'
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import ProgressionFindingsPanel from './ProgressionFindingsPanel'
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import {
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aiPreviewToQuickCreateDraft,
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buildQuickCreateAiPreview,
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} from '../utils/exerciseAiQuickCreate'
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import {
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buildPathGapPlanningContextForAi,
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gapOfferContextDisplayLines,
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initialStageLearningGoalFromOffer,
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} from '../utils/planningContextForExerciseAi'
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import {
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addSlotToDraft,
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applyGapOfferToDraft,
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applyMatchStepsToSlots,
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collectGapOffersFromApiResponse,
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hydrateProgressionGraphDraft,
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insertSlotInDraft,
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librarySlotExercise,
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majorStepsToOverridePayload,
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moveSlotInDraft,
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patchSlotInDraft,
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removeSlotFromDraft,
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saveProgressionGraphDraft,
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SLOT_MAX,
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slotsAsPathStepRows,
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slotsToEvaluateSteps,
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syncProgressionRoadmapFromSlots,
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} from '../utils/progressionGraphDraft'
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function roadmapStructuredPayload(startSituation, targetState, roadmapNotes) {
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const body = {}
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const start = (startSituation || '').trim()
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const target = (targetState || '').trim()
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const notes = (roadmapNotes || '').trim()
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if (start) body.start_situation = start
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if (target) body.target_state = target
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if (notes) body.roadmap_notes = notes
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return body
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}
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function resolveDefaultFocusAreaId(targetSummary, focusAreas) {
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const targetName = targetSummary?.focus_areas?.[0]
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if (targetName && Array.isArray(focusAreas) && focusAreas.length) {
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const norm = String(targetName).trim().toLowerCase()
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const hit = focusAreas.find((fa) => String(fa.name || '').trim().toLowerCase() === norm)
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if (hit?.id) return Number(hit.id)
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}
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return focusAreas?.[0]?.id ? Number(focusAreas[0].id) : null
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}
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export default function ProgressionGraphEditor({ graphId, embedded = false, onSaved }) {
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const [graphMeta, setGraphMeta] = useState(null)
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const [draft, setDraft] = useState(null)
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const [busy, setBusy] = useState(false)
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const [loadErr, setLoadErr] = useState('')
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const [actionErr, setActionErr] = useState('')
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const [pickContext, setPickContext] = useState(null)
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const [pathQa, setPathQa] = useState(null)
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const [gapFillOffers, setGapFillOffers] = useState([])
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const [evaluating, setEvaluating] = useState(false)
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const [matching, setMatching] = useState(false)
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const [roadmapLoading, setRoadmapLoading] = useState(false)
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const [semanticBrief, setSemanticBrief] = useState(null)
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const [targetSummary, setTargetSummary] = useState(null)
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const [focusAreas, setFocusAreas] = useState([])
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const [activeOffer, setActiveOffer] = useState(null)
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const [activeOfferSlotIndex, setActiveOfferSlotIndex] = useState(null)
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const [gapPrepOpen, setGapPrepOpen] = useState(false)
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const [gapPrepTitle, setGapPrepTitle] = useState('')
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const [gapPrepStageGoal, setGapPrepStageGoal] = useState('')
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const [gapPrepSupplements, setGapPrepSupplements] = useState('')
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const [gapPrepFocusAreaId, setGapPrepFocusAreaId] = useState('')
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const [gapPrepError, setGapPrepError] = useState('')
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const [generatingOfferId, setGeneratingOfferId] = useState(null)
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const [gapAiBusy, setGapAiBusy] = useState(false)
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const loadGraph = useCallback(async () => {
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if (!graphId) return
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setBusy(true)
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setLoadErr('')
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try {
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const [graph, edges] = await Promise.all([
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api.getExerciseProgressionGraph(Number(graphId)),
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api.listExerciseProgressionEdges(Number(graphId)),
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])
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setGraphMeta(graph)
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setDraft(
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hydrateProgressionGraphDraft({
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artifact: graph?.planning_roadmap,
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edges: Array.isArray(edges) ? edges : [],
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graphName: graph?.name,
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}),
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)
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const findings = graph?.planning_roadmap?.last_findings
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if (findings) setPathQa(findings)
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} catch (e) {
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setLoadErr(e.message || 'Graph konnte nicht geladen werden')
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setDraft(null)
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} finally {
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setBusy(false)
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}
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}, [graphId])
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useEffect(() => {
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loadGraph()
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}, [loadGraph])
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useEffect(() => {
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let cancelled = false
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api
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.listFocusAreas({ status: 'active' })
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.then((fa) => {
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if (!cancelled) setFocusAreas(Array.isArray(fa) ? fa : [])
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})
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.catch(() => {
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if (!cancelled) setFocusAreas([])
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})
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return () => {
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cancelled = true
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}
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}, [])
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const patchDraft = useCallback((patchFn) => {
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setDraft((prev) => {
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if (!prev) return prev
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const next = patchFn(prev)
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return { ...next, dirty: true }
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})
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}, [])
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const gapContextParams = useMemo(() => {
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if (!draft) return {}
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return {
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goalQuery: draft.goalQuery,
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semanticBrief,
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graphId,
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pathSteps: slotsAsPathStepRows(draft),
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editableMajorSteps: draft.majorSteps,
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progressionRoadmap: draft.progressionRoadmap,
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startSituation: draft.startSituation,
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targetState: draft.targetState,
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roadmapNotes: draft.roadmapNotes,
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}
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}, [draft, semanticBrief, graphId])
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const handlePickExercise = async (exercise) => {
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if (!pickContext || !exercise?.id) return
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const { slotIndex, role } = pickContext
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const entry = librarySlotExercise({
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exerciseId: exercise.id,
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exerciseTitle: exercise.title || `Übung #${exercise.id}`,
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})
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patchDraft((d) => {
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const slots = d.slots.map((s, i) => {
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if (i !== slotIndex) return s
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if (role === 'primary') return { ...s, primary: entry }
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const siblings = [...(s.siblings || [])]
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if (!siblings.some((x) => x.exerciseId === entry.exerciseId)) siblings.push(entry)
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return { ...s, siblings }
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})
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return syncProgressionRoadmapFromSlots({ ...d, slots })
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})
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setPickContext(null)
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}
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const handlePatchLearningGoal = (slotIndex, value) => {
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patchDraft((d) => patchSlotInDraft(d, slotIndex, { learning_goal: value }))
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}
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const handlePatchPhase = (slotIndex, value) => {
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patchDraft((d) => patchSlotInDraft(d, slotIndex, { phase: value }))
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}
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const handleMoveSlot = (slotIndex, dir) => {
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patchDraft((d) => moveSlotInDraft(d, slotIndex, dir))
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}
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const handleRemoveSlot = (slotIndex) => {
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if ((draft?.slots?.length || 0) <= 2) {
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alert('Mindestens zwei Slots müssen bleiben.')
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return
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}
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if (!window.confirm(`Slot ${slotIndex + 1} wirklich entfernen?`)) return
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patchDraft((d) => removeSlotFromDraft(d, slotIndex))
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}
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const handleInsertAfter = (slotIndex) => {
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if ((draft?.slots?.length || 0) >= SLOT_MAX) {
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alert(`Maximal ${SLOT_MAX} Slots.`)
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return
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}
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patchDraft((d) => insertSlotInDraft(d, slotIndex))
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}
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const handleAddSlot = () => {
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if ((draft?.slots?.length || 0) >= SLOT_MAX) {
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alert(`Maximal ${SLOT_MAX} Slots.`)
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return
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}
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patchDraft((d) => addSlotToDraft(d))
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}
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const handleClearPrimary = (slotIndex) => {
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patchDraft((d) => {
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const slots = d.slots.map((s, i) =>
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i === slotIndex
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? {
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...s,
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primary: {
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kind: 'empty',
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exerciseId: null,
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variantId: null,
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exerciseTitle: '',
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variantName: null,
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proposalKey: null,
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aiSuggestion: null,
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},
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siblings: [],
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}
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: s,
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)
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return syncProgressionRoadmapFromSlots({ ...d, slots })
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})
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}
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const handleRemoveSibling = (slotIndex, sibIdx) => {
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patchDraft((d) => {
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const slots = d.slots.map((s, i) => {
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if (i !== slotIndex) return s
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return { ...s, siblings: s.siblings.filter((_, j) => j !== sibIdx) }
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})
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return { ...d, slots }
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})
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}
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const validMajorSteps = useMemo(() => {
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if (!draft?.slots) return []
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return draft.slots.filter((s) => (s.learning_goal || '').trim().length >= 3)
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}, [draft?.slots])
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const applyApiResponse = (res) => {
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setSemanticBrief(res?.semantic_brief_summary || null)
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setTargetSummary(res?.target_profile_summary || null)
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setPathQa(res?.path_qa || null)
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setGapFillOffers(collectGapOffersFromApiResponse(res))
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}
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const runRoadmapGenerate = async () => {
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const q = (draft?.goalQuery || '').trim()
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if (q.length < 3) {
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alert('Ziel-Anfrage: mindestens 3 Zeichen.')
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return
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}
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setRoadmapLoading(true)
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setActionErr('')
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try {
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const res = await api.suggestProgressionPath({
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query: q,
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max_steps: draft.maxSteps || 5,
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include_llm_intent: true,
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include_path_qa: false,
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include_llm_path_qa: false,
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include_path_reorder: false,
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include_ai_gap_fill: false,
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include_roadmap_preview: true,
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include_llm_roadmap: true,
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roadmap_only: true,
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progression_graph_id: Number(graphId),
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...roadmapStructuredPayload(draft.startSituation, draft.targetState, draft.roadmapNotes),
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})
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const roadmap = res?.progression_roadmap
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if (!roadmap) throw new Error('Keine Roadmap in der Antwort')
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const hydrated = hydrateProgressionGraphDraft({
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artifact: {
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goal_query: q,
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progression_roadmap: roadmap,
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start_situation: draft.startSituation,
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target_state: draft.targetState,
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roadmap_notes: draft.roadmapNotes,
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max_steps: (roadmap?.roadmap?.major_steps || []).length || draft.maxSteps,
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},
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edges: [],
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graphName: draft.graphName,
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})
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setDraft({ ...hydrated, goalQuery: q, dirty: true })
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setSemanticBrief(res?.semantic_brief_summary || null)
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} catch (e) {
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setActionErr(e.message || 'Roadmap-Generierung fehlgeschlagen')
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} finally {
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setRoadmapLoading(false)
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}
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}
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const runMatch = async () => {
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const q = (draft?.goalQuery || '').trim()
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if (q.length < 3) {
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alert('Ziel-Anfrage: mindestens 3 Zeichen.')
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return
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}
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if (validMajorSteps.length < 2) {
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alert('Mindestens zwei Slots mit Lernziel (je 3+ Zeichen) nötig.')
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return
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}
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setMatching(true)
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setActionErr('')
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try {
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const synced = syncProgressionRoadmapFromSlots(draft)
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const override = majorStepsToOverridePayload(synced.slots)
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const res = await api.suggestProgressionPath({
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query: q,
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max_steps: synced.slots.length,
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include_llm_intent: true,
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include_path_qa: true,
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include_llm_path_qa: true,
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include_path_reorder: false,
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include_ai_gap_fill: true,
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include_roadmap_preview: true,
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include_llm_roadmap: false,
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roadmap_first: true,
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roadmap_override: override,
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progression_graph_id: Number(graphId),
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...roadmapStructuredPayload(draft.startSituation, draft.targetState, draft.roadmapNotes),
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})
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const next = applyMatchStepsToSlots(
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{
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...synced,
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progressionRoadmap: res?.progression_roadmap || synced.progressionRoadmap,
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pathSkillExpectations: res?.path_skill_expectations || synced.pathSkillExpectations,
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},
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res?.steps,
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)
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setDraft(next)
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applyApiResponse(res)
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} catch (e) {
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setActionErr(e.message || 'Übungs-Match fehlgeschlagen')
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} finally {
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setMatching(false)
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}
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}
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const runEvaluate = async () => {
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const q = (draft?.goalQuery || '').trim()
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if (q.length < 3) {
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alert('Ziel-Anfrage: mindestens 3 Zeichen.')
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return
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}
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setEvaluating(true)
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setActionErr('')
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try {
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const synced = syncProgressionRoadmapFromSlots(draft)
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const override =
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validMajorSteps.length >= 2 ? majorStepsToOverridePayload(synced.slots) : undefined
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const res = await api.suggestProgressionPath({
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query: q,
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max_steps: synced.slots.length || draft.maxSteps || 5,
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include_path_qa: true,
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include_llm_path_qa: true,
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include_ai_gap_fill: true,
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include_path_reorder: false,
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include_llm_intent: false,
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evaluate_only: true,
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evaluate_steps: slotsToEvaluateSteps(synced),
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roadmap_override: override,
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progression_graph_id: Number(graphId),
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...roadmapStructuredPayload(draft.startSituation, draft.targetState, draft.roadmapNotes),
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})
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applyApiResponse(res)
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setDraft((prev) => (prev ? { ...prev, lastFindings: res?.path_qa || null } : prev))
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} catch (e) {
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setActionErr(e.message || 'Bewertung fehlgeschlagen')
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} finally {
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setEvaluating(false)
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}
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}
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const handleSave = async () => {
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if (!draft || !graphId) return
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setBusy(true)
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setActionErr('')
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try {
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await saveProgressionGraphDraft(api, graphId, { ...draft, lastFindings: pathQa })
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await loadGraph()
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if (typeof onSaved === 'function') await onSaved()
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alert('Progressionsgraph gespeichert.')
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} catch (e) {
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setActionErr(e.message || 'Speichern fehlgeschlagen')
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} finally {
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setBusy(false)
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}
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}
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const handleApplyGapOffer = (offer, slotIndex) => {
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setDraft((prev) => {
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const next = applyGapOfferToDraft(prev, offer, { slotIndex })
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return { ...next, dirty: true }
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})
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setGapFillOffers((prev) => prev.filter((o) => o.offer_id !== offer?.offer_id))
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}
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const handleInsertGapSlot = (offer) => {
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if ((draft?.slots?.length || 0) >= SLOT_MAX) {
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alert(`Maximal ${SLOT_MAX} Slots — zuerst einen Slot entfernen.`)
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return
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}
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setDraft((prev) => {
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const next = applyGapOfferToDraft(prev, offer, { insertNewSlot: true })
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return { ...next, dirty: true }
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})
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setGapFillOffers((prev) => prev.filter((o) => o.offer_id !== offer?.offer_id))
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}
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const openGapFillPrep = (offer, slotIndex = null) => {
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const defaultFocus = resolveDefaultFocusAreaId(targetSummary, focusAreas)
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setActiveOffer(offer)
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setActiveOfferSlotIndex(slotIndex)
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setGapPrepTitle((offer?.title_hint || '').trim())
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setGapPrepStageGoal(initialStageLearningGoalFromOffer(offer, gapContextParams))
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setGapPrepSupplements('')
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setGapPrepFocusAreaId(defaultFocus ? String(defaultFocus) : '')
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setGapPrepError('')
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setGapPrepOpen(true)
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}
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const runGapFillAiSuggest = async (offer, prep, slotIndex) => {
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const title = (prep?.title || offer?.title_hint || '').trim()
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if (title.length < 3) {
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alert('Titel: mindestens 3 Zeichen.')
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return
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}
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const supplements = (prep?.supplements || '').trim()
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const stageGoal = (prep?.stageLearningGoal || '').trim()
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let goalText = (offer?.goal_for_ai || offer?.sketch || '').trim()
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if (supplements) {
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goalText = `${goalText}\n\nTrainer-Ergänzungen:\n${supplements}`.trim()
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}
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const focusId =
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prep?.focusAreaId != null && Number.isFinite(Number(prep.focusAreaId))
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? Number(prep.focusAreaId)
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: resolveDefaultFocusAreaId(targetSummary, focusAreas)
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if (!focusId) {
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alert('Bitte einen Fokusbereich wählen.')
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return
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}
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const focusRow = (focusAreas || []).find((x) => Number(x.id) === focusId)
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const focusHint = (focusRow?.name || offer?.primary_topic || '').trim()
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setGapAiBusy(true)
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setGeneratingOfferId(offer?.offer_id || null)
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setGapPrepError('')
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try {
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const planningContext = buildPathGapPlanningContextForAi({
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offer,
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...gapContextParams,
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stageLearningGoalOverride: stageGoal,
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gapTrainerSupplements: supplements,
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})
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const aiRes = await api.suggestExerciseAi({
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title,
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goal: goalText || undefined,
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execution: '',
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preparation: '',
|
|
trainer_notes: supplements || '',
|
|
focus_area_hint: focusHint || undefined,
|
|
focus_areas_context: [{ focus_area_id: focusId, is_primary: true }],
|
|
planning_context: planningContext || undefined,
|
|
include_summary: true,
|
|
include_skills: true,
|
|
include_instructions: true,
|
|
})
|
|
const preview = buildQuickCreateAiPreview(aiRes, { sketchPlain: goalText })
|
|
if (!preview.hasSummaryProposal && !preview.hasInstructionChoices && !preview.hasSkillChoices) {
|
|
throw new Error('Die KI lieferte keinen verwertbaren Vorschlag.')
|
|
}
|
|
const aiDraft = aiPreviewToQuickCreateDraft(preview, {
|
|
title,
|
|
focusAreaId: focusId,
|
|
sketchPlain: goalText,
|
|
})
|
|
const enrichedOffer = {
|
|
...offer,
|
|
proposal_title: title,
|
|
ai_suggestion: aiDraft,
|
|
has_ai_payload: true,
|
|
}
|
|
setDraft((prev) => {
|
|
const next = applyGapOfferToDraft(prev, enrichedOffer, { slotIndex })
|
|
return { ...next, dirty: true }
|
|
})
|
|
setGapFillOffers((prev) => prev.filter((o) => o.offer_id !== offer?.offer_id))
|
|
setGapPrepOpen(false)
|
|
setActiveOffer(null)
|
|
} catch (e) {
|
|
setGapPrepError(e.message || 'KI-Anlage fehlgeschlagen')
|
|
} finally {
|
|
setGapAiBusy(false)
|
|
setGeneratingOfferId(null)
|
|
}
|
|
}
|
|
|
|
const submitGapFillPrep = async () => {
|
|
const title = (gapPrepTitle || '').trim()
|
|
if (title.length < 3) {
|
|
alert('Titel: mindestens 3 Zeichen.')
|
|
return
|
|
}
|
|
const focusId = parseInt(String(gapPrepFocusAreaId).trim(), 10)
|
|
if (!Number.isFinite(focusId) || focusId < 1) {
|
|
alert('Bitte einen Fokusbereich wählen.')
|
|
return
|
|
}
|
|
if (!activeOffer) return
|
|
await runGapFillAiSuggest(
|
|
activeOffer,
|
|
{
|
|
title,
|
|
stageLearningGoal: (gapPrepStageGoal || '').trim(),
|
|
supplements: (gapPrepSupplements || '').trim(),
|
|
focusAreaId: focusId,
|
|
},
|
|
activeOfferSlotIndex,
|
|
)
|
|
}
|
|
|
|
if (loadErr) {
|
|
return (
|
|
<div className="card">
|
|
<p className="form-error">{loadErr}</p>
|
|
<Link to="/exercises" className="btn btn-secondary">
|
|
Zurück
|
|
</Link>
|
|
</div>
|
|
)
|
|
}
|
|
|
|
if (!draft) {
|
|
return (
|
|
<div style={{ display: 'flex', justifyContent: 'center', padding: '40px' }}>
|
|
<div className="spinner" />
|
|
</div>
|
|
)
|
|
}
|
|
|
|
return (
|
|
<div>
|
|
{!embedded ? (
|
|
<div style={{ marginBottom: '12px', display: 'flex', justifyContent: 'space-between', alignItems: 'flex-start', flexWrap: 'wrap', gap: '8px' }}>
|
|
<div>
|
|
<h2 style={{ margin: 0, fontSize: '1.15rem' }}>
|
|
{graphMeta?.name || draft.graphName || `Graph #${graphId}`}
|
|
</h2>
|
|
<p style={{ margin: '4px 0 0', fontSize: '12px', color: 'var(--text3)' }}>
|
|
Roadmap-Slots · KI-Match · Graph-Bewertung (max. {SLOT_MAX} Slots)
|
|
</p>
|
|
</div>
|
|
<Link to="/exercises" className="btn btn-secondary" style={{ fontSize: '12px' }}>
|
|
Zur Übersicht
|
|
</Link>
|
|
</div>
|
|
) : null}
|
|
|
|
{actionErr ? (
|
|
<p className="form-error" style={{ marginTop: 0 }}>
|
|
{actionErr}
|
|
</p>
|
|
) : null}
|
|
|
|
<div
|
|
className="progression-graph-editor-grid"
|
|
style={{
|
|
display: 'grid',
|
|
gridTemplateColumns: 'minmax(0, 1fr) minmax(280px, 340px)',
|
|
gap: '14px',
|
|
alignItems: 'start',
|
|
}}
|
|
>
|
|
<div>
|
|
<div className="card" style={{ marginBottom: '12px' }}>
|
|
<h3 style={{ marginTop: 0, fontSize: '1rem' }}>Ziel & Roadmap</h3>
|
|
<div className="form-row">
|
|
<label className="form-label">Ziel-Anfrage</label>
|
|
<textarea
|
|
className="form-input"
|
|
rows={2}
|
|
value={draft.goalQuery}
|
|
disabled={busy}
|
|
onChange={(e) => patchDraft((d) => ({ ...d, goalQuery: e.target.value }))}
|
|
placeholder="z. B. Vom Anfänger zum sauberen Gerade-Tritt"
|
|
/>
|
|
</div>
|
|
<div className="form-row" style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: '10px' }}>
|
|
<div>
|
|
<label className="form-label">Start-Situation</label>
|
|
<input
|
|
className="form-input"
|
|
value={draft.startSituation}
|
|
disabled={busy}
|
|
onChange={(e) => patchDraft((d) => ({ ...d, startSituation: e.target.value }))}
|
|
/>
|
|
</div>
|
|
<div>
|
|
<label className="form-label">Ziel-Zustand</label>
|
|
<input
|
|
className="form-input"
|
|
value={draft.targetState}
|
|
disabled={busy}
|
|
onChange={(e) => patchDraft((d) => ({ ...d, targetState: e.target.value }))}
|
|
/>
|
|
</div>
|
|
</div>
|
|
<div style={{ display: 'flex', flexWrap: 'wrap', gap: '8px', marginTop: '8px' }}>
|
|
<button
|
|
type="button"
|
|
className="btn btn-secondary"
|
|
disabled={busy || roadmapLoading}
|
|
onClick={runRoadmapGenerate}
|
|
>
|
|
{roadmapLoading ? 'Roadmap…' : 'Roadmap generieren'}
|
|
</button>
|
|
<button
|
|
type="button"
|
|
className="btn btn-secondary"
|
|
disabled={busy || matching}
|
|
onClick={runMatch}
|
|
>
|
|
{matching ? 'Match…' : 'Übungen matchen'}
|
|
</button>
|
|
<button type="button" className="btn btn-primary" disabled={busy} onClick={handleSave}>
|
|
{busy ? 'Speichern…' : 'Graph speichern'}
|
|
</button>
|
|
</div>
|
|
{draft.dirty ? (
|
|
<p style={{ margin: '8px 0 0', fontSize: '11px', color: 'var(--accent-dark)' }}>
|
|
Ungespeicherte Änderungen
|
|
</p>
|
|
) : null}
|
|
</div>
|
|
|
|
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: '8px' }}>
|
|
<h3 style={{ margin: 0, fontSize: '1rem' }}>Slots ({draft.slots.length})</h3>
|
|
<button
|
|
type="button"
|
|
className="btn btn-secondary"
|
|
style={{ fontSize: '12px' }}
|
|
disabled={busy || draft.slots.length >= SLOT_MAX}
|
|
onClick={handleAddSlot}
|
|
>
|
|
Slot am Ende
|
|
</button>
|
|
</div>
|
|
|
|
{draft.slots.map((slot, idx) => (
|
|
<ProgressionSlotCard
|
|
key={`slot-${idx}-${slot.learning_goal?.slice(0, 12) || 'x'}`}
|
|
slot={slot}
|
|
slotIndex={idx}
|
|
slotCount={draft.slots.length}
|
|
disabled={busy}
|
|
onPickPrimary={(i) => setPickContext({ slotIndex: i, role: 'primary' })}
|
|
onPickSibling={(i) => setPickContext({ slotIndex: i, role: 'sibling' })}
|
|
onClearPrimary={handleClearPrimary}
|
|
onRemoveSibling={handleRemoveSibling}
|
|
onPatchLearningGoal={handlePatchLearningGoal}
|
|
onPatchPhase={handlePatchPhase}
|
|
onMoveUp={(i) => handleMoveSlot(i, -1)}
|
|
onMoveDown={(i) => handleMoveSlot(i, 1)}
|
|
onRemoveSlot={handleRemoveSlot}
|
|
onInsertAfter={handleInsertAfter}
|
|
/>
|
|
))}
|
|
</div>
|
|
|
|
<ProgressionFindingsPanel
|
|
pathQa={pathQa}
|
|
gapFillOffers={gapFillOffers}
|
|
draft={draft}
|
|
slotCount={draft.slots.length}
|
|
loading={evaluating}
|
|
error=""
|
|
onEvaluate={runEvaluate}
|
|
onApplyGapOffer={handleApplyGapOffer}
|
|
onInsertGapSlot={handleInsertGapSlot}
|
|
onGenerateGapAi={openGapFillPrep}
|
|
generatingOfferId={generatingOfferId}
|
|
aiBusy={gapAiBusy}
|
|
evaluateDisabled={busy || !draft.goalQuery?.trim()}
|
|
/>
|
|
</div>
|
|
|
|
{pickContext ? (
|
|
<ExercisePickerModal
|
|
open
|
|
onClose={() => setPickContext(null)}
|
|
onSelectExercise={handlePickExercise}
|
|
/>
|
|
) : null}
|
|
|
|
<ExerciseGapFillPrepModal
|
|
open={gapPrepOpen}
|
|
offer={activeOffer}
|
|
onClose={() => {
|
|
if (gapAiBusy) return
|
|
setGapPrepOpen(false)
|
|
setGapPrepError('')
|
|
}}
|
|
title={gapPrepTitle}
|
|
onTitleChange={setGapPrepTitle}
|
|
stageLearningGoal={gapPrepStageGoal}
|
|
onStageLearningGoalChange={setGapPrepStageGoal}
|
|
supplements={gapPrepSupplements}
|
|
onSupplementsChange={setGapPrepSupplements}
|
|
focusAreaId={gapPrepFocusAreaId}
|
|
onFocusAreaChange={setGapPrepFocusAreaId}
|
|
focusAreas={focusAreas}
|
|
contextLines={gapOfferContextDisplayLines(activeOffer, gapContextParams)}
|
|
error={gapPrepError}
|
|
busy={gapAiBusy}
|
|
onSubmit={submitGapFillPrep}
|
|
/>
|
|
|
|
<style>{`
|
|
@media (max-width: 900px) {
|
|
.progression-graph-editor-grid {
|
|
grid-template-columns: 1fr !important;
|
|
}
|
|
}
|
|
`}</style>
|
|
</div>
|
|
)
|
|
}
|