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https://github.com/temetro/temetro.git
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3aa699aefe
real Live card, persistent chat history Analytics & earnings: - Analytics now carries real money computed from invoices (billed/paid/ outstanding + by-month); new Earnings section on the Analysis page drawn with the project's Bklit chart components (shared EarningsChart). AI agent reaches the whole clinic: - new read tools getClinicInfo / getAnalytics / listInventory render clinic, analytics (with a Bklit earnings chart) and inventory cards in chat - proposeInvoice turns an uploaded purchase/medication list into an invoice (new "invoice" action-preview kind → createInvoice); invoices/appointments auto-create/link a patient (ensurePatient) so they hit the Patients page Live card: - plots real data — patients checked in today — via GET /api/analytics/live (polled); value pill clamped and margins widened so nothing spills the card Persistent AI chat history (Claude-style): - ai_chat_threads + ai_chat_messages (migration 0016); per-user, org-scoped thread CRUD under /api/chat/threads - chat panel owns a thread id, loads /?thread=<id>, and auto-saves after each exchange; sidebar lists past chats (open/delete), "New chat" starts fresh Verified with backend typecheck + frontend tsc + next build. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
85 lines
2.5 KiB
TypeScript
85 lines
2.5 KiB
TypeScript
import type { UIMessage } from "ai";
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import type { Analytics } from "@/lib/analytics";
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import type { Appointment } from "@/lib/appointments";
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import type { InventoryItem } from "@/lib/inventory";
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import type { Lab, Patient, Trend } from "@/lib/patients";
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import type { Prescription } from "@/lib/prescriptions";
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import type { Task } from "@/lib/tasks";
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// Custom data parts the backend agent streams alongside its text. They carry
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// REAL (un-redacted) record data straight to the clinician's screen for rich
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// rendering — the model itself only ever sees Veil-redacted tool results.
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export type LabCardData = {
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fileNumber: string;
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name: string;
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labs: Lab[];
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labTrend: Trend;
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};
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export type ImportPreviewData = {
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// Validated, ready-to-commit records (server re-validates on commit).
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valid: unknown[];
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invalid: { index: number; errors: string[] }[];
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total: number;
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};
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export type VeilNoticeData = {
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provider: string;
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level: string;
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};
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// A Chain-of-Thought step the agent emits as it works (one per tool action).
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export type StepData = {
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id: string;
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label: string;
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status: "active" | "complete";
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};
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// Read-only list cards (display actions).
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export type AppointmentListData = { appointments: Appointment[] };
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export type TaskListData = { tasks: Task[] };
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export type PrescriptionListData = { prescriptions: Prescription[] };
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export type InventoryListData = { items: InventoryItem[] };
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// Clinic-wide read cards.
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export type ClinicCardData = {
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name: string;
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slug: string | null;
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createdAt: string | null;
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};
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// An add proposed by the agent, awaiting one-click clinician approval. `record`
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// is the validated, ready-to-commit input for the matching create endpoint.
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export type ActionPreviewKind =
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| "appointment"
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| "task"
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| "prescription"
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| "invoice";
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export type ActionPreviewData = {
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token: string;
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kind: ActionPreviewKind;
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record: unknown;
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issues?: string[];
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};
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// Maps each data part name → its payload. Part `type` strings are the key
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// prefixed with `data-` (e.g. `data-patientCard`), per the AI SDK convention.
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export type TemetroDataParts = {
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patientCard: Patient;
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labCard: LabCardData;
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importPreview: ImportPreviewData;
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veilNotice: VeilNoticeData;
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step: StepData;
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appointmentList: AppointmentListData;
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taskList: TaskListData;
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prescriptionList: PrescriptionListData;
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inventoryList: InventoryListData;
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clinicCard: ClinicCardData;
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analyticsCard: Analytics;
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actionPreview: ActionPreviewData;
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};
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export type TemetroUIMessage = UIMessage<never, TemetroDataParts>;
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