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>
2026-08-25 01:47:01 +00:00 · 2026-06-14 19:27:17 +03:00
parent 67249be67b
commit 929bec8f31
258 changed files with 28490 additions and 681 deletions
@@ -0,0 +1,84 @@
+"use client";
+
+import { SpeechInput } from "@/components/ai-elements/speech-input";
+import { useCallback, useState } from "react";
+
+/**
+ * Fallback handler for browsers that don't support Web Speech API (Firefox, Safari).
+ * This function receives recorded audio and should send it to a transcription service.
+ * Example uses OpenAI Whisper API - replace with your preferred service.
+ */
+const handleAudioRecorded = async (audioBlob: Blob): Promise<string> => {
+  const formData = new FormData();
+  formData.append("file", audioBlob, "audio.webm");
+  formData.append("model", "whisper-1");
+
+  const response = await fetch(
+    "https://api.openai.com/v1/audio/transcriptions",
+    {
+      body: formData,
+      headers: {
+        Authorization: `Bearer ${process.env.NEXT_PUBLIC_OPENAI_API_KEY}`,
+      },
+      method: "POST",
+    }
+  );
+
+  if (!response.ok) {
+    throw new Error("Transcription failed");
+  }
+
+  const data = await response.json();
+  return data.text;
+};
+
+const Example = () => {
+  const [transcript, setTranscript] = useState("");
+
+  const handleTranscriptionChange = useCallback((text: string) => {
+    setTranscript((prev) => {
+      const newText = prev ? `${prev} ${text}` : text;
+      return newText;
+    });
+  }, []);
+
+  const handleClear = useCallback(() => {
+    setTranscript("");
+  }, []);
+
+  return (
+    <div className="flex size-full flex-col items-center justify-center gap-4">
+      <div className="flex gap-2">
+        <SpeechInput
+          onAudioRecorded={handleAudioRecorded}
+          onTranscriptionChange={handleTranscriptionChange}
+          size="icon"
+          variant="outline"
+        />
+        {transcript && (
+          <button
+            className="text-muted-foreground text-sm underline hover:text-foreground"
+            onClick={handleClear}
+            type="button"
+          >
+            Clear
+          </button>
+        )}
+      </div>
+      {transcript ? (
+        <div className="max-w-md rounded-lg border bg-card p-4 text-sm">
+          <p className="text-muted-foreground">
+            <strong>Transcript:</strong>
+          </p>
+          <p className="mt-2">{transcript}</p>
+        </div>
+      ) : (
+        <p className="text-muted-foreground text-sm">
+          Click the microphone to start speaking
+        </p>
+      )}
+    </div>
+  );
+};
+
+export default Example;