Dictation & SOAP Notes

const stream = await navigator.mediaDevices.getUserMedia({
  audio: {
    echoCancellation: true,
    noiseSuppression: true,
    autoGainControl: true,
  },
});

const recorder = new MediaRecorder(stream, {
  mimeType: 'audio/webm;codecs=opus'
});

const SpeechRecognitionCtor = 
  window.SpeechRecognition || window.webkitSpeechRecognition;

const recognition = new SpeechRecognitionCtor();
recognition.continuous = true;
recognition.interimResults = true;
recognition.lang = 'en-US';

recognition.onresult = (event) => {
  let finalText = '';
  let interimText = '';
  
  for (let i = 0; i < event.results.length; i++) {
    const result = event.results[i];
    if (result.isFinal) {
      finalText += result[0].transcript + ' ';
    } else {
      interimText += result[0].transcript;
    }
  }
  
  setLiveTranscript((finalText + interimText).trim());
};

const handleFileUpload = async (file: File) => {
  const base64 = await fileToBase64(file);
  
  if (file.type.startsWith('audio')) {
    // Transcribe audio
    const res = await fetch('/api/ai/transcribe', {
      method: 'POST',
      body: JSON.stringify({ audio: base64, mimeType: file.type }),
    });
    const { transcription } = await res.json();
    setTranscription(transcription);
  } else {
    // Extract text from PDF/images
    const res = await fetch('/api/ai/extract-text', {
      method: 'POST',
      body: JSON.stringify({ file: base64, mimeType: file.type }),
    });
    const { text } = await res.json();
    setTranscription(text);
  }
};

interface SOAPTemplate {
  id: string;
  title: string;
  description: string;
  sections: TemplateSection[];
  detailLevel: 'concise' | 'detailed';
  isDefault: boolean;
}

interface TemplateSection {
  id: string;
  name: string;
  fields: {
    name: string;
    type: 'text' | 'textarea' | 'select' | 'number' | 'date';
    required: boolean;
  }[];
}

const content: NoteContent = {};

for (const section of template.sections) {
  // Try matching by section ID, name, or common SOAP keys
  content[section.id] = 
    aiResponse[section.id] || 
    aiResponse[section.name] || 
    aiResponse[section.name.toLowerCase()] ||
    '';
}

// Fallback for standard SOAP
if (aiResponse.subjective || aiResponse.objective) {
  const soapKeys = ['subjective', 'objective', 'assessment', 'plan'];
  template.sections.forEach((section, i) => {
    if (i < soapKeys.length) {
      content[section.id] = aiResponse[soapKeys[i]] || '';
    }
  });
}

const generateInsights = async (soapContent: NoteContent) => {
  const response = await fetch('/api/ai/clinical-insights', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      soap: soapContent,
      patientName: patient.name,
      species: patient.species,
      breed: patient.breed,
    }),
  });
  
  const { insights } = await response.json();
  
  // insights array:
  // [{
  //   type: 'risk' | 'diagnosis' | 'suggestion',
  //   priority: 'high' | 'medium' | 'low',
  //   title: 'Potential Complication',
  //   description: 'Watch for signs of...',
  //   confidence: 0.85
  // }]
  
  setInsights(insights);
};

const handleInsightFeedback = (insightId: string, feedback: 'accepted' | 'rejected') => {
  setInsights(prev => 
    prev.map(i => 
      i.id === insightId 
        ? { ...i, status: feedback } 
        : i
    )
  );
  
  // Send feedback to server for model improvement
  fetch('/api/ai/insight-feedback', {
    method: 'POST',
    body: JSON.stringify({ insightId, feedback }),
  });
};

const extractBilling = async () => {
  const response = await fetch('/api/ai/extract-billing', {
    method: 'POST',
    body: JSON.stringify({ soap: noteContent }),
  });
  
  const { items } = await response.json();
  
  // items:
  // [{
  //   name: 'Blood Work Panel',
  //   type: 'Lab Test',
  //   quantity: 1,
  //   unitCost: 120,
  //   total: 120
  // }]
};

const fallbackBilling = (text: string) => {
  const items = [];
  const lower = text.toLowerCase();
  
  if (lower.includes('blood')) {
    items.push({ name: 'Blood Work Panel', type: 'Lab Test', quantity: 1, unitCost: 120, total: 120 });
  }
  if (lower.includes('x-ray') || lower.includes('radiograph')) {
    items.push({ name: 'Radiograph', type: 'Imaging', quantity: 1, unitCost: 180, total: 180 });
  }
  
  return items;
};

const exportToPDF = () => {
  const html = generateRecordHTML(noteContent, patient, template);
  const blob = new Blob([html], { type: 'text/html' });
  const url = URL.createObjectURL(blob);
  
  const win = window.open(url, '_blank');
  win.addEventListener('load', () => {
    win.print(); // Opens print dialog, can save as PDF
  });
};

const emailRecord = (recipientEmail: string, subject: string, body: string) => {
  const mailto = `mailto:${encodeURIComponent(recipientEmail)}?
    subject=${encodeURIComponent(subject)}&
    body=${encodeURIComponent(body)}`;
  
  window.open(mailto, '_blank');
};

const copyToClipboard = () => {
  const formatted = formatRecord(noteContent);
  navigator.clipboard.writeText(formatted);
};

const saveOffline = (record: MedicalRecord) => {
  const existing = JSON.parse(
    localStorage.getItem('vetassist_records') || '[]'
  );
  
  existing.push({
    id: `local-${Date.now()}`,
    ...record,
    offline: true,
    savedAt: new Date().toISOString(),
  });
  
  localStorage.setItem('vetassist_records', JSON.stringify(existing));
};

const steps = ['input', 'transcription', 'soap'];
const labels = ['1. Input', '2. Edit Transcription', '3. Notes'];

<div className="flex items-center gap-2">
  {steps.map((step, i) => {
    const active = currentStep === step;
    const done = steps.indexOf(currentStep) > i;
    
    return (
      <button
        onClick={() => done && setCurrentStep(step)}
        className={active ? 'active' : done ? 'done' : 'pending'}
      >
        {labels[i]}
      </button>
    );
  })}
</div>

<div className={`
  h-24 w-24 rounded-full flex items-center justify-center
  ${isRecording ? 'bg-red-100 animate-pulse' : 'bg-primary/10'}
`}>
  {isRecording ? (
    <Mic className="h-10 w-10 text-red-600" />
  ) : (
    <Mic className="h-10 w-10 text-primary" />
  )}
</div>

{liveTranscript && (
  <div className="bg-muted/50 rounded-lg p-3 border">
    <p className="text-xs font-medium text-muted-foreground mb-1">
      Live Transcription
    </p>
    <p className="text-sm leading-relaxed">{liveTranscript}</p>
  </div>
)}