// One image model per workflow: Clinical Assistant and Learning, each a dropdown of discovered models. import { imageJson } from '../generatedImages.js'; let loading = false; let loaded = false; let clinicalSelect; let learningSelect; let clinicalBudget; let learningBudget; let save; let status; async function load() { const root = document.getElementById('workflow-image-settings'); if (root && !root.children.length) loaded = false; // fresh DOM (test/re-import) re-renders if (!root || loaded || loading) return; loading = true; try { const [settings, models] = await Promise.all([ imageJson('/api/admin/image-settings'), imageJson('/api/admin/config/image-models/discover').catch(() => ({ success: false })) ]); root.textContent = ''; const form = document.createElement('form'); const heading = document.createElement('h4'); heading.textContent = 'Image models'; clinicalSelect = makeSelect([settings.workflows.clinical_assistant.model], models.models); learningSelect = makeSelect([settings.workflows.learning_hub.model], models.models); clinicalBudget = makeBudget(settings.workflows.clinical_assistant.budget); learningBudget = makeBudget(settings.workflows.learning_hub.budget); save = document.createElement('button'); save.type = 'submit'; save.className = 'btn-sm btn-primary'; save.textContent = 'Save image settings'; status = document.createElement('p'); status.setAttribute('role', 'status'); const row1 = document.createElement('div'); row1.className = 'admin-row'; const l1 = document.createElement('label'); l1.className = 'admin-row-label'; l1.textContent = 'Clinical Assistant image model'; row1.append(l1, clinicalSelect); const row2 = document.createElement('div'); row2.className = 'admin-row'; const l2 = document.createElement('label'); l2.className = 'admin-row-label'; l2.textContent = 'Clinical image input budget'; row2.append(l2, clinicalBudget); const row3 = document.createElement('div'); row3.className = 'admin-row'; const l3 = document.createElement('label'); l3.className = 'admin-row-label'; l3.textContent = 'Learning image model'; row3.append(l3, learningSelect); const row4 = document.createElement('div'); row4.className = 'admin-row'; const l4 = document.createElement('label'); l4.className = 'admin-row-label'; l4.textContent = 'Learning image input budget'; row4.append(l4, learningBudget); form.append(heading, row1, row2, row3, row4, save, status); form.onsubmit = async e => { e.preventDefault(); if (save.disabled) return; save.disabled = true; try { await imageJson('/api/admin/image-settings/clinical_assistant', { method: 'PUT', body: JSON.stringify({ model: clinicalSelect.value, budget: Number(clinicalBudget.value) }) }); await imageJson('/api/admin/image-settings/learning_hub', { method: 'PUT', body: JSON.stringify({ model: learningSelect.value, budget: Number(learningBudget.value) }) }); status.textContent = 'Saved. New jobs use these settings; existing jobs are unchanged.'; } catch (error) { status.textContent = error.message + ' Nothing was saved.'; } finally { save.disabled = false; } }; root.append(form); loaded = true; } catch (_) { /* Next tab entry retries; no drafts are touched. */ } finally { loading = false; } } function makeSelect(knownIds, models) { const select = document.createElement('select'); select.className = 'admin-control'; const ids = new Set([...(Array.isArray(knownIds) ? knownIds : []), ...((Array.isArray(models) ? models : []).map(m => m && m.id).filter(Boolean))]); [...ids].sort().forEach(id => { const o = document.createElement('option'); o.value = id; o.textContent = id; select.appendChild(o); }); if (knownIds[0]) select.value = knownIds[0]; return select; } function makeBudget(value) { const input = document.createElement('input'); input.className = 'admin-control'; input.type = 'number'; input.min = '1000'; input.max = '32000'; input.required = true; input.value = value; return input; } export function initImageSettings() { document.addEventListener('tabChanged', e => { if (e.detail?.tab === 'admin') load(); }); }