pediatric-ai-scribe-v3/public/js/admin/clinicalAssistant.js
Daniel 4d92488f0c fix: translated answers keep their source chips; the patient take home can be translated
Translation
- Stop scrubbing markdown before sending it to LibreTranslate. The scrub
  deleted ordered-list numbering ("1. Give amoxicillin" -> "Give amoxicillin"),
  flattened tables into ambiguous whitespace and ate underscores inside
  identifiers. Raw markdown now goes to the translator unchanged.
- Render the translation through the same markdown pipeline as the original
  bubble, with the message's own sources, so [n] markers come back as the usual
  clickable .assistant-cite chips instead of escaped literal text. Headings,
  lists and tables survive with them.
- When the translator drops citation markers, surface the affected sources in a
  recovery block rather than letting the evidence disappear.
- Image cards are live nodes: they are now re-attached on every path out of a
  translation (success, failure and Show original), so a failed translation no
  longer silently removes a generating image from the message.

Patient take home
- Add a language selector to the take-home modal, reusing the existing
  /translate endpoint and offering only what the local LibreTranslate reports.
- Copy, Export and Email carry what the caregiver is actually reading; the
  original stays canonical behind "Original".

Conversation budget
- The admin field no longer prefills with the environment value, which turned
  the next Save into an accidental override and made the documented "leave
  empty to use the environment" path unreachable. The effective limit is shown
  as a placeholder instead.
- Report source 'default' honestly instead of naming an unset env var.
- The load-failure notice now lands on the <p> instead of an <input>'s
  textContent, where it rendered nothing.
- One validator for the budget everywhere: conversationLimit() replaces a
  parseInt that accepted "120000abc".

Other
- /assistant is addressed by its URL, not by ped_last_tab, so "/" no longer
  reopens the assistant; the URL follows tab changes and Back leaves it.
- Remove the dead DeepL path (it referenced an undefined DEEPL_BASES) and stop
  offering admins a provider the server silently ignores.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01BkfrkQwA4YGrGw9LZSpeAq
2026-09-09 18:40:23 +02:00

418 lines
22 KiB
JavaScript

function assistantBudgetMeta(budget, savedOverride) {
var limit = budget && Number.isInteger(budget.limit) ? budget.limit.toLocaleString() : null;
if (savedOverride) {
return 'Saved override in use. Clear this field to fall back to CLINICAL_ASSISTANT_CONVERSATION_CHARS' +
(limit ? ' (' + limit + ' UTF-16 code units).' : '.');
}
if (!limit) return 'UTF-16 code units. Leave empty to use CLINICAL_ASSISTANT_CONVERSATION_CHARS.';
// conversationBudget() reports 'default' when the env var is unset, so naming
// the env var alone would be wrong in the most common deployment.
return budget.source === 'environment'
? 'Currently ' + limit + ' UTF-16 code units from CLINICAL_ASSISTANT_CONVERSATION_CHARS. Set a value here to override it.'
: 'Currently the built-in default of ' + limit + ' UTF-16 code units (CLINICAL_ASSISTANT_CONVERSATION_CHARS is unset). Set a value here to override it.';
}
export function initClinicalAssistantAdmin(adminEscapeHtml) {
let configState = 'idle';
const IMAGE_MODEL_FALLBACKS = ['openai-gpt-image-1', 'openai-gpt-image-1-mini', 'openai-gpt-image-1.5', 'openai-dall-e-3'];
let savedChatAllowed = [];
let savedImageAllowed = [];
let chatRoster = [];
let imageRoster = [];
function parseAssistantList(value) {
return String(value || '').split(',').map(function(s) { return s.trim(); }).filter(Boolean);
}
function renderAssistantCheckboxList(containerId, candidates, saved) {
var container = document.getElementById(containerId);
if (!container) return;
var ids = candidates.slice();
saved.forEach(function(id) { if (ids.indexOf(id) === -1) ids.push(id); });
ids = ids.filter(Boolean).filter(function(id, i, all) { return all.indexOf(id) === i; }).sort();
container.innerHTML = '';
if (!ids.length) {
var empty = document.createElement('p');
empty.style.cssText = 'margin:0;font-size:12px;color:var(--g500);';
empty.textContent = 'No models available. Add or enable models first.';
container.appendChild(empty);
return;
}
ids.forEach(function(id) {
var row = document.createElement('label');
row.style.cssText = 'display:flex;align-items:center;gap:6px;font-size:12px;padding:2px 0;';
var box = document.createElement('input');
box.type = 'checkbox';
box.value = id;
box.checked = saved.indexOf(id) !== -1;
var span = document.createElement('span');
span.textContent = id;
row.appendChild(box);
row.appendChild(span);
container.appendChild(row);
});
}
function checkedAssistantModels(containerId) {
var container = document.getElementById(containerId);
if (!container) return [];
return Array.prototype.map.call(container.querySelectorAll('input[type="checkbox"]:checked'), function(box) { return box.value; });
}
function renderAssistantImageModelCheckboxes(models) {
imageRoster = (Array.isArray(models) ? models : []).map(function(m) { return m.id; }).concat(IMAGE_MODEL_FALLBACKS, [window._assistantImageModelValue]);
renderAssistantCheckboxList('assistant-allowed-image-models', imageRoster, savedImageAllowed);
}
let imageModelsLoading = false;
document.addEventListener('tabChanged', function(e) {
if (e.detail && e.detail.tab === 'admin') loadAssistantAdmin();
});
document.addEventListener('click', function(e) {
if (e.target.closest('#btn-save-assistant-config')) saveAssistantAdmin();
if (e.target.closest('#btn-retry-assistant-config')) loadAssistantAdmin();
if (e.target.closest('#btn-test-assistant-chat-model')) testAssistantChatModel();
if (e.target.closest('#btn-regenerate-assistant-prompt-pool')) regenerateAssistantPromptPool();
if (e.target.closest('#btn-restore-assistant-prompt-pool')) restoreAssistantPromptPool();
if (e.target.closest('#btn-refresh-assistant-image-models')) loadAssistantImageModels();
if (e.target.closest('#btn-test-assistant-image-model')) testAssistantImageModel();
if (e.target.closest('#btn-use-custom-assistant-image-model')) useCustomAssistantImageModel();
});
function updateAssistantLoadState() {
var save = document.getElementById('btn-save-assistant-config');
if (save) save.disabled = configState !== 'ready' || imageModelsLoading;
var retry = document.getElementById('btn-retry-assistant-config');
if (retry) retry.hidden = configState !== 'failed';
var status = document.getElementById('assistant-admin-status');
if (status) status.textContent = configState === 'failed' ?
'Settings load failed. Drafts are unchanged. Retry loading settings or revisit the Admin tab.' :
configState !== 'ready' ? 'Loading assistant settings...' :
imageModelsLoading ? 'Loading image models; saving is unavailable until discovery finishes.' : 'Settings ready.';
}
function loadAssistantAdmin() {
if (configState === 'loading' || configState === 'ready') return;
configState = 'loading';
updateAssistantLoadState();
Promise.all([
fetch('/api/models', { headers: getAuthHeaders() }).then(function(r) {
if (!r.ok) throw new Error('Model discovery failed');
return r.json();
}).catch(function() { return {}; }),
fetch('/api/admin/config', { headers: getAuthHeaders() }).then(function(r) {
if (!r.ok) throw new Error('Settings request failed');
return r.json();
})
]).then(function(results) {
var modelsData = results[0] || {};
var configData = results[1];
var budget = configData && configData.conversationBudget;
var validBudget = budget && Number.isInteger(budget.limit) && budget.limit >= 1000 && budget.limit <= 1000000 &&
budget.unit === 'characters' && budget.measure === 'UTF-16 code units' &&
budget.env === 'CLINICAL_ASSISTANT_CONVERSATION_CHARS' && ['environment', 'default'].includes(budget.source);
// Validate the entire response before touching any setting or draft.
if (!configData || configData.success !== true || !Array.isArray(configData.config) ||
!configData.config.every(function(row) { return row && typeof row.key === 'string' && row.key && typeof row.value === 'string'; }) ||
!validBudget) throw new Error('Invalid settings response');
var cfg = Object.create(null);
configData.config.forEach(function(row) { cfg[row.key] = row.value; });
var chatSelect = document.getElementById('assistant-chat-model');
if (chatSelect) {
var savedChatModel = cfg['clinical_assistant.chat_model'] || '';
var defaultLabel = modelsData.defaultModel ? ('Use global default (' + modelsData.defaultModel + ')') : 'Use global default';
chatSelect.innerHTML = '';
var defaultOpt = document.createElement('option');
defaultOpt.value = '';
defaultOpt.textContent = defaultLabel;
chatSelect.appendChild(defaultOpt);
(Array.isArray(modelsData.models) ? modelsData.models : []).filter(function(m) { return m && typeof m.id === 'string' && m.id; }).forEach(function(m) {
var opt = document.createElement('option');
opt.value = m.id;
opt.textContent = m.name || m.id;
chatSelect.appendChild(opt);
});
if (savedChatModel && !Array.prototype.some.call(chatSelect.options, function(o) { return o.value === savedChatModel; })) {
var saved = document.createElement('option');
saved.value = savedChatModel;
saved.textContent = savedChatModel + ' (saved/custom)';
chatSelect.appendChild(saved);
}
chatSelect.value = savedChatModel;
}
window._assistantImageModelValue = cfg['clinical_assistant.image_model'] || '';
savedChatAllowed = parseAssistantList(cfg['clinical_assistant.allowed_models']);
savedImageAllowed = parseAssistantList(cfg['clinical_assistant.allowed_image_models']);
chatRoster = chatOptions().map(function(o) { return o.value; }).filter(Boolean).concat([cfg['clinical_assistant.chat_model'] || '']);
renderAssistantCheckboxList('assistant-allowed-chat-models', chatRoster, savedChatAllowed);
renderAssistantImageModelCheckboxes([]);
renderAssistantImageModels([], window._assistantImageModelValue);
setValue('assistant-search-limit', cfg['clinical_assistant.search_limit'] || '8');
setValue('assistant-context-chars', cfg['clinical_assistant.context_chars'] || '1400');
setValue('assistant-translate-provider', 'libretranslate'); // the only provider the server accepts
var budgetInput = document.getElementById('assistant-conversation-budget');
var cfgBudget = cfg['clinical_assistant.conversation_chars'];
if (budgetInput) {
// Empty means "no override". Prefilling the environment value here would
// turn the next Save into an accidental override, making the documented
// "leave empty to use the environment" path unreachable.
budgetInput.value = cfgBudget ? String(cfgBudget) : '';
if (budget && Number.isInteger(budget.limit)) budgetInput.placeholder = String(budget.limit);
}
var budgetMeta = document.getElementById('assistant-conversation-budget-meta');
if (budgetMeta) budgetMeta.textContent = assistantBudgetMeta(budget, cfgBudget);
configState = 'ready';
updateAssistantLoadState();
loadAssistantImageModels();
loadAssistantPromptPoolStatus();
}).catch(function() {
configState = 'failed';
updateAssistantLoadState();
var budgetMetaFailed = document.getElementById('assistant-conversation-budget-meta');
if (budgetMetaFailed) budgetMetaFailed.textContent = 'Conversation budget unavailable. Check server environment configuration; no fallback limit is assumed.';
});
}
function renderAssistantImageModels(models, current) {
var sel = document.getElementById('assistant-image-model');
if (!sel) return;
sel.innerHTML = '<option value="">Use default (openai-gpt-image-1)</option>';
models.forEach(function(m) {
var opt = document.createElement('option');
opt.value = m.id;
opt.textContent = m.name || m.id;
sel.appendChild(opt);
});
if (current && !Array.prototype.some.call(sel.options, function(o) { return o.value === current; })) {
var custom = document.createElement('option');
custom.value = current;
custom.textContent = current + ' (saved/custom)';
sel.appendChild(custom);
}
sel.value = current;
}
function loadAssistantImageModels() {
var sel = document.getElementById('assistant-image-model');
if (!sel || configState !== 'ready' || imageModelsLoading) return;
// Keep the real selection, never an empty loading option. Read it again on
// completion so a newer custom selection wins over an in-flight discovery.
imageModelsLoading = true;
sel.disabled = true;
updateAssistantLoadState();
fetch('/api/admin/config/image-models/discover', { headers: getAuthHeaders() })
.then(function(r) {
if (!r.ok) throw new Error('Image discovery failed');
return r.json();
})
.then(function(data) {
if (!data || data.success === false || !Array.isArray(data.models) ||
!data.models.every(function(m) { return m && typeof m.id === 'string' && m.id; })) throw new Error('Invalid image models');
renderAssistantImageModelCheckboxes(data.models);
renderAssistantImageModels(data.models, sel.value);
})
.catch(function() {
renderAssistantImageModels(['openai-gpt-image-1', 'openai-gpt-image-1-mini', 'openai-gpt-image-1.5', 'openai-dall-e-3'].map(function(id) { return { id: id }; }), sel.value);
})
.finally(function() {
imageModelsLoading = false;
sel.disabled = false;
updateAssistantLoadState();
});
}
function testAssistantChatModel() {
var model = getValue('assistant-chat-model');
var result = document.getElementById('assistant-chat-test-result');
if (!model) {
var select = document.getElementById('assistant-chat-model');
var selected = select && select.options[select.selectedIndex] ? select.options[select.selectedIndex].textContent : 'global default';
if (result) result.textContent = 'Testing ' + selected + '...';
} else if (result) {
result.textContent = 'Testing ' + model + '...';
}
fetch('/api/admin/config/models/test', {
method: 'POST', headers: getAuthHeaders(), body: JSON.stringify({ modelId: model || getGlobalDefaultFromAssistantSelect() })
}).then(function(r) { return r.json(); }).then(function(data) {
if (!data.success) throw new Error(data.error || 'Chat model test failed');
if (result) result.textContent = 'Chat model OK (' + data.duration + ' ms): ' + (data.response || '').trim();
showToast('Chat model works', 'success');
}).catch(function(err) {
if (result) result.textContent = err.message;
showToast(err.message, 'error');
});
}
function getGlobalDefaultFromAssistantSelect() {
var select = document.getElementById('assistant-chat-model');
if (!select || !select.options[0]) return '';
var match = select.options[0].textContent.match(/\((.+)\)$/);
return match ? match[1] : '';
}
function loadAssistantPromptPoolStatus() {
var result = document.getElementById('assistant-prompt-pool-status');
if (result) result.textContent = 'Checking prompt pool...';
fetch('/api/admin/clinical-assistant/prompt-pool', { headers: getAuthHeaders() })
.then(function(r) { return r.json(); })
.then(function(data) {
if (!data.success) throw new Error(data.error || 'Prompt pool status failed');
renderAssistantPromptPoolStatus(data.meta);
renderAssistantPromptPoolSnapshots(data.snapshots || []);
})
.catch(function(err) {
if (result) result.textContent = err.message;
});
}
function regenerateAssistantPromptPool() {
var result = document.getElementById('assistant-prompt-pool-status');
var btn = document.getElementById('btn-regenerate-assistant-prompt-pool');
if (btn) btn.disabled = true;
if (result) result.textContent = 'Regenerating prompt pool. This can take several minutes...';
fetch('/api/admin/clinical-assistant/prompt-pool/regenerate', {
method: 'POST', headers: getAuthHeaders(), body: JSON.stringify({})
}).then(function(r) { return r.json(); }).then(function(data) {
if (!data.success) throw new Error(data.error || 'Prompt pool regeneration failed');
renderAssistantPromptPoolStatus(data.meta || { count: data.count, generatedAt: Date.now() });
renderAssistantPromptPoolSnapshots(data.snapshots || []);
showToast('Prompt pool regenerated', 'success');
}).catch(function(err) {
if (result) result.textContent = err.message;
showToast(err.message, 'error');
}).finally(function() {
if (btn) btn.disabled = false;
});
}
function renderAssistantPromptPoolStatus(meta) {
var result = document.getElementById('assistant-prompt-pool-status');
if (!result) return;
if (!meta) {
result.textContent = 'No generated pool found. The assistant will use indexed-topic fallback until you generate one.';
return;
}
var generated = meta.generatedAt ? new Date(meta.generatedAt).toLocaleString() : 'unknown time';
result.textContent = 'Generated pool: ' + (meta.count || 0) + ' prompts, target ' + (meta.target || '?') + ', generated ' + generated + (meta.restoredFrom ? ', restored from snapshot #' + meta.restoredFrom : '') + '.';
}
function renderAssistantPromptPoolSnapshots(snapshots) {
var select = document.getElementById('assistant-prompt-pool-snapshots');
if (!select) return;
select.innerHTML = '';
if (!snapshots.length) {
var empty = document.createElement('option');
empty.value = '';
empty.textContent = 'No saved snapshots';
select.appendChild(empty);
return;
}
snapshots.forEach(function(s) {
var opt = document.createElement('option');
opt.value = s.id;
var date = s.created_at ? new Date(s.created_at).toLocaleString() : 'unknown time';
opt.textContent = '#' + s.id + ' - ' + (s.count || 0) + ' prompts - ' + date + (s.restored_from ? ' (restored from #' + s.restored_from + ')' : '');
select.appendChild(opt);
});
}
function restoreAssistantPromptPool() {
var select = document.getElementById('assistant-prompt-pool-snapshots');
var id = select ? select.value : '';
var result = document.getElementById('assistant-prompt-pool-status');
if (!id) { showToast('Select a prompt pool snapshot', 'error'); return; }
if (result) result.textContent = 'Restoring prompt pool snapshot #' + id + '...';
fetch('/api/admin/clinical-assistant/prompt-pool/restore', {
method: 'POST', headers: getAuthHeaders(), body: JSON.stringify({ id: Number(id) })
}).then(function(r) { return r.json(); }).then(function(data) {
if (!data.success) throw new Error(data.error || 'Prompt pool restore failed');
renderAssistantPromptPoolStatus(data.meta || { count: data.count, generatedAt: Date.now(), restoredFrom: id });
renderAssistantPromptPoolSnapshots(data.snapshots || []);
showToast('Prompt pool restored', 'success');
}).catch(function(err) {
if (result) result.textContent = err.message;
showToast(err.message, 'error');
});
}
function testAssistantImageModel() {
var model = getValue('assistant-image-model') || 'openai-gpt-image-1';
var result = document.getElementById('assistant-image-test-result');
if (result) result.innerHTML = '<i class="fas fa-spinner fa-spin"></i> Testing ' + escAssistant(model) + '...';
fetch('/api/admin/config/image-models/test', {
method: 'POST', headers: getAuthHeaders(), body: JSON.stringify({ modelId: model })
}).then(function(r) { return r.json(); }).then(function(data) {
if (!data.success) throw new Error(data.error || 'Image test failed');
var src = data.imageUrl || (data.base64 ? ('data:image/png;base64,' + data.base64) : '');
if (result) result.innerHTML = 'Image model OK (' + data.duration + ' ms)' + (src ? '<div style="margin-top:8px;"><img src="' + escAssistant(src) + '" alt="test image" style="max-width:180px;border:1px solid var(--g200);border-radius:8px;"></div>' : '');
showToast('Image model works', 'success');
}).catch(function(err) {
if (result) result.textContent = err.message;
showToast(err.message, 'error');
});
}
function useCustomAssistantImageModel() {
var input = document.getElementById('assistant-custom-image-model');
var sel = document.getElementById('assistant-image-model');
var model = input ? input.value.trim() : '';
if (!model) { showToast('Enter an image model ID', 'error'); return; }
if (sel && !Array.prototype.some.call(sel.options, function(o) { return o.value === model; })) {
var opt = document.createElement('option');
opt.value = model;
opt.textContent = model + ' (custom)';
sel.appendChild(opt);
}
if (sel) sel.value = model;
window._assistantImageModelValue = model;
showToast('Custom image model selected. Save settings to keep it.', 'info');
}
function saveAssistantAdmin() {
if (configState !== 'ready' || imageModelsLoading) return;
var chat = document.getElementById('assistant-chat-model');
if (!chat || chat.selectedIndex < 0) return;
var status = document.getElementById('assistant-admin-status');
if (status) status.textContent = 'Saving...';
Promise.all([
putAssistantConfig('clinical_assistant.chat_model', getValue('assistant-chat-model')),
putAssistantConfig('clinical_assistant.conversation_chars', getValue('assistant-conversation-budget')),
putAssistantConfig('clinical_assistant.search_limit', getValue('assistant-search-limit') || '8'),
putAssistantConfig('clinical_assistant.context_chars', getValue('assistant-context-chars') || '1400'),
putAssistantConfig('clinical_assistant.translate_provider', getValue('assistant-translate-provider') || 'libretranslate'),
putAssistantConfig('clinical_assistant.allowed_models', checkedAssistantModels('assistant-allowed-chat-models').join(',')),
putAssistantConfig('clinical_assistant.allowed_image_models', checkedAssistantModels('assistant-allowed-image-models').join(','))
]).then(function() {
if (status) status.textContent = '';
showToast('Assistant settings saved', 'success');
}).catch(function(err) {
if (status) status.textContent = '';
showToast(err.message || 'Save failed', 'error');
});
}
function putAssistantConfig(key, value) {
return fetch('/api/admin/config/' + encodeURIComponent(key), {
method: 'PUT', headers: getAuthHeaders(), body: JSON.stringify({ value: value })
}).then(function(r) { return r.json(); }).then(function(data) {
if (!data.success) throw new Error(data.error || 'Save failed');
return data;
});
}
function chatOptions() {
var chat = document.getElementById('assistant-chat-model');
var out = [];
if (chat) Array.prototype.forEach.call(chat.options, function(o) { out.push({ value: o.value }); });
return out;
}
function getValue(id) { var el = document.getElementById(id); return el ? el.value.trim() : ''; }
function setValue(id, value) { var el = document.getElementById(id); if (el) el.value = value; }
const escAssistant = adminEscapeHtml;
// Catch-up: when the admin tab is already active and loaded at module init
// (e.g. restored tab before this module evaluated), tabChanged may never fire
// again. The loader's own state guards make this idempotent with tabChanged.
var adminTab = document.getElementById('admin-tab');
if (adminTab && adminTab.classList.contains('active') && adminTab.dataset.loaded === '1') loadAssistantAdmin();
}