Files
temetro/.agents/skills/ai-elements/scripts/queue-prompt-input.tsx
T
Khalid Abdi 929bec8f31 feat: AI-added records save with placeholders + "Added by AI" provenance
Stop blocking AI imports/proposals on missing non-critical fields. Records
the chat agent drafts now save with safe placeholders, auto-generated file
numbers, and a source="ai" marker that surfaces an "Added by AI" badge so a
clinician can review/edit them later.

Backend:
- add `source` (manual|ai) column to patients/appointments/prescriptions
  (migration 0014) + canonical types, services, validation schemas
- relax patient/appointment validation: empty file number allowed, demographic
  + type/provider/initials fall back to placeholders (initials derived from name)
- patients.generateFileNumber() auto-assigns an MRN when one is missing
- proposeAppointment accepts a name when no file number resolves; AI commits +
  /api/ai/import stamp source="ai"

Frontend:
- `source` on Appointment/Patient/Prescription types; AI commits send source="ai"
- reusable <AiBadge> shown on the Patients table/detail and prescriptions list

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-14 19:27:17 +03:00

395 lines
10 KiB
TypeScript

"use client";
import {
Attachment,
AttachmentPreview,
AttachmentRemove,
Attachments,
} from "@/components/ai-elements/attachments";
import {
ModelSelector,
ModelSelectorContent,
ModelSelectorEmpty,
ModelSelectorGroup,
ModelSelectorInput,
ModelSelectorItem,
ModelSelectorList,
ModelSelectorLogo,
ModelSelectorLogoGroup,
ModelSelectorName,
ModelSelectorTrigger,
} from "@/components/ai-elements/model-selector";
import type { PromptInputMessage } from "@/components/ai-elements/prompt-input";
import {
PromptInput,
PromptInputActionAddAttachments,
PromptInputActionMenu,
PromptInputActionMenuContent,
PromptInputActionMenuTrigger,
PromptInputBody,
PromptInputButton,
PromptInputFooter,
PromptInputHeader,
PromptInputSubmit,
PromptInputTextarea,
PromptInputTools,
usePromptInputAttachments,
} from "@/components/ai-elements/prompt-input";
import type { QueueTodo } from "@/components/ai-elements/queue";
import {
Queue,
QueueItem,
QueueItemAction,
QueueItemActions,
QueueItemContent,
QueueItemDescription,
QueueItemIndicator,
QueueSection,
QueueSectionContent,
} from "@/components/ai-elements/queue";
import { CheckIcon, GlobeIcon, Trash2 } from "lucide-react";
import { memo, useCallback, useRef, useState } from "react";
const models = [
{
chef: "OpenAI",
chefSlug: "openai",
id: "gpt-4o",
name: "GPT-4o",
providers: ["openai", "azure"],
},
{
chef: "OpenAI",
chefSlug: "openai",
id: "gpt-4o-mini",
name: "GPT-4o Mini",
providers: ["openai", "azure"],
},
{
chef: "Anthropic",
chefSlug: "anthropic",
id: "claude-opus-4-20250514",
name: "Claude 4 Opus",
providers: ["anthropic", "azure", "google", "amazon-bedrock"],
},
{
chef: "Anthropic",
chefSlug: "anthropic",
id: "claude-sonnet-4-20250514",
name: "Claude 4 Sonnet",
providers: ["anthropic", "azure", "google", "amazon-bedrock"],
},
{
chef: "Google",
chefSlug: "google",
id: "gemini-2.0-flash-exp",
name: "Gemini 2.0 Flash",
providers: ["google"],
},
];
const SUBMITTING_TIMEOUT = 200;
const STREAMING_TIMEOUT = 2000;
interface AttachmentItemProps {
attachment: {
id: string;
type: "file";
filename?: string;
mediaType?: string;
url: string;
};
onRemove: (id: string) => void;
}
const AttachmentItem = memo(({ attachment, onRemove }: AttachmentItemProps) => {
const handleRemove = useCallback(
() => onRemove(attachment.id),
[onRemove, attachment.id]
);
return (
<Attachment data={attachment} key={attachment.id} onRemove={handleRemove}>
<AttachmentPreview />
<AttachmentRemove />
</Attachment>
);
});
AttachmentItem.displayName = "AttachmentItem";
interface TodoItemProps {
todo: QueueTodo;
onRemove: (id: string) => void;
}
const TodoItem = memo(({ todo, onRemove }: TodoItemProps) => {
const isCompleted = todo.status === "completed";
const handleRemove = useCallback(
() => onRemove(todo.id),
[onRemove, todo.id]
);
return (
<QueueItem key={todo.id}>
<div className="flex items-center gap-2">
<QueueItemIndicator completed={isCompleted} />
<QueueItemContent completed={isCompleted}>
{todo.title}
</QueueItemContent>
<QueueItemActions>
<QueueItemAction aria-label="Remove todo" onClick={handleRemove}>
<Trash2 size={12} />
</QueueItemAction>
</QueueItemActions>
</div>
{todo.description && (
<QueueItemDescription completed={isCompleted}>
{todo.description}
</QueueItemDescription>
)}
</QueueItem>
);
});
TodoItem.displayName = "TodoItem";
interface ModelItemProps {
m: (typeof models)[0];
selectedModel: string;
onSelect: (id: string) => void;
}
const ModelItem = memo(({ m, selectedModel, onSelect }: ModelItemProps) => {
const handleSelect = useCallback(() => onSelect(m.id), [onSelect, m.id]);
return (
<ModelSelectorItem key={m.id} onSelect={handleSelect} value={m.id}>
<ModelSelectorLogo provider={m.chefSlug} />
<ModelSelectorName>{m.name}</ModelSelectorName>
<ModelSelectorLogoGroup>
{m.providers.map((provider) => (
<ModelSelectorLogo key={provider} provider={provider} />
))}
</ModelSelectorLogoGroup>
{selectedModel === m.id ? (
<CheckIcon className="ml-auto size-4" />
) : (
<div className="ml-auto size-4" />
)}
</ModelSelectorItem>
);
});
ModelItem.displayName = "ModelItem";
const sampleTodos: QueueTodo[] = [
{
description: "Complete the README and API docs",
id: "todo-1",
status: "completed",
title: "Write project documentation",
},
{
id: "todo-2",
status: "pending",
title: "Implement authentication",
},
{
description: "Resolve crash on settings page",
id: "todo-3",
status: "pending",
title: "Fix bug #42",
},
{
description: "Unify queue and todo state management",
id: "todo-4",
status: "pending",
title: "Refactor queue logic",
},
{
description: "Increase test coverage for hooks",
id: "todo-5",
status: "pending",
title: "Add unit tests",
},
];
const PromptInputAttachmentsDisplay = () => {
const attachments = usePromptInputAttachments();
const handleRemove = useCallback(
(id: string) => attachments.remove(id),
[attachments]
);
if (attachments.files.length === 0) {
return null;
}
return (
<Attachments variant="inline">
{attachments.files.map((attachment) => (
<AttachmentItem
attachment={attachment}
key={attachment.id}
onRemove={handleRemove}
/>
))}
</Attachments>
);
};
const Example = () => {
const [todos, setTodos] = useState(sampleTodos);
const handleRemoveTodo = useCallback((id: string) => {
setTodos((prev) => prev.filter((todo) => todo.id !== id));
}, []);
const [text, setText] = useState<string>("");
const [model, setModel] = useState<string>(models[0].id);
const [modelSelectorOpen, setModelSelectorOpen] = useState(false);
const [status, setStatus] = useState<
"submitted" | "streaming" | "ready" | "error"
>("ready");
const timeoutRef = useRef<NodeJS.Timeout | null>(null);
const handleTextChange = useCallback(
(e: React.ChangeEvent<HTMLTextAreaElement>) => setText(e.target.value),
[]
);
const handleModelSelect = useCallback((id: string) => {
setModel(id);
setModelSelectorOpen(false);
}, []);
const selectedModelData = models.find((m) => m.id === model);
const stop = () => {
console.log("Stopping request...");
// Clear any pending timeouts
if (timeoutRef.current) {
clearTimeout(timeoutRef.current);
timeoutRef.current = null;
}
setStatus("ready");
};
const handleSubmit = useCallback(
(message: PromptInputMessage) => {
// If currently streaming or submitted, stop instead of submitting
if (status === "streaming" || status === "submitted") {
stop();
return;
}
const hasText = Boolean(message.text);
const hasAttachments = Boolean(message.files?.length);
if (!(hasText || hasAttachments)) {
return;
}
setStatus("submitted");
console.log("Submitting message:", message);
setTimeout(() => {
setStatus("streaming");
}, SUBMITTING_TIMEOUT);
timeoutRef.current = setTimeout(() => {
setStatus("ready");
timeoutRef.current = null;
}, STREAMING_TIMEOUT);
},
[status]
);
return (
<div className="flex size-full flex-col justify-end">
<Queue className="mx-auto max-h-[150px] w-[95%] overflow-y-auto rounded-b-none border-input border-b-0">
{todos.length > 0 && (
<QueueSection>
<QueueSectionContent>
<div>
{todos.map((todo) => (
<TodoItem
key={todo.id}
onRemove={handleRemoveTodo}
todo={todo}
/>
))}
</div>
</QueueSectionContent>
</QueueSection>
)}
</Queue>
<PromptInput globalDrop multiple onSubmit={handleSubmit}>
<PromptInputHeader>
<PromptInputAttachmentsDisplay />
</PromptInputHeader>
<PromptInputBody>
<PromptInputTextarea onChange={handleTextChange} value={text} />
</PromptInputBody>
<PromptInputFooter>
<PromptInputTools>
<PromptInputActionMenu>
<PromptInputActionMenuTrigger />
<PromptInputActionMenuContent>
<PromptInputActionAddAttachments />
</PromptInputActionMenuContent>
</PromptInputActionMenu>
<PromptInputButton>
<GlobeIcon size={16} />
<span>Search</span>
</PromptInputButton>
<ModelSelector
onOpenChange={setModelSelectorOpen}
open={modelSelectorOpen}
>
<ModelSelectorTrigger asChild>
<PromptInputButton>
{selectedModelData?.chefSlug && (
<ModelSelectorLogo provider={selectedModelData.chefSlug} />
)}
{selectedModelData?.name && (
<ModelSelectorName>
{selectedModelData.name}
</ModelSelectorName>
)}
</PromptInputButton>
</ModelSelectorTrigger>
<ModelSelectorContent>
<ModelSelectorInput placeholder="Search models..." />
<ModelSelectorList>
<ModelSelectorEmpty>No models found.</ModelSelectorEmpty>
{["OpenAI", "Anthropic", "Google"].map((chef) => (
<ModelSelectorGroup heading={chef} key={chef}>
{models
.filter((m) => m.chef === chef)
.map((m) => (
<ModelItem
key={m.id}
m={m}
onSelect={handleModelSelect}
selectedModel={model}
/>
))}
</ModelSelectorGroup>
))}
</ModelSelectorList>
</ModelSelectorContent>
</ModelSelector>
</PromptInputTools>
<PromptInputSubmit status={status} />
</PromptInputFooter>
</PromptInput>
</div>
);
};
export default Example;