// Test chat functionality with patient context
const https = require('https');

const OPENAI_API_KEY = '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';
const CONTEXT_URL = 'https://wellnuo.smartlaunchhub.com/api/patient/context';

async function fetchPatientContext() {
  return new Promise((resolve, reject) => {
    https.get(CONTEXT_URL, (res) => {
      let data = '';
      res.on('data', chunk => data += chunk);
      res.on('end', () => {
        try {
          resolve(JSON.parse(data));
        } catch (e) {
          reject(e);
        }
      });
    }).on('error', reject);
  });
}

async function askAboutPatient(context, question) {
  // Build system prompt from context
  const systemPrompt = `You are Julia, a caring AI health assistant for WellNuo family care system.

Current patient information:
- Name: ${context.patient.name}
- Age: ${context.patient.age}
- Relationship: ${context.patient.relationship}
- Location: ${context.current_status.location}
- Activity: ${context.current_status.estimated_activity}

Recent sleep data:
- Last night: ${context.sleep_analysis?.last_night?.total_hours || 'N/A'} hours
- Quality: ${context.sleep_analysis?.last_night?.quality_score || 'N/A'}/100

Today's activity:
- Active minutes: ${context.activity_patterns?.today?.total_active_minutes || 'N/A'}
- Rooms visited: ${context.activity_patterns?.today?.rooms_visited?.join(', ') || 'N/A'}

Environment (${context.current_status.location}):
- Temperature: ${context.environment?.living_room?.temperature_f || 'N/A'}°F
- Humidity: ${context.environment?.living_room?.humidity_percent || 'N/A'}%
- Air quality: ${context.environment?.living_room?.air_quality_status || 'N/A'}

Be warm, concise, and reassuring. Answer questions about the patient's wellbeing.`;

  const requestData = JSON.stringify({
    model: 'gpt-4o-mini',
    messages: [
      { role: 'system', content: systemPrompt },
      { role: 'user', content: question }
    ],
    max_tokens: 300
  });

  return new Promise((resolve, reject) => {
    const req = https.request({
      hostname: 'api.openai.com',
      path: '/v1/chat/completions',
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${OPENAI_API_KEY}`,
        'Content-Length': Buffer.byteLength(requestData)
      }
    }, (res) => {
      let data = '';
      res.on('data', chunk => data += chunk);
      res.on('end', () => {
        try {
          const response = JSON.parse(data);
          if (response.error) {
            reject(new Error(response.error.message));
          } else {
            resolve(response.choices[0].message.content);
          }
        } catch (e) {
          reject(e);
        }
      });
    });

    req.on('error', reject);
    req.write(requestData);
    req.end();
  });
}

async function main() {
  console.log('=== TESTING WELLNUO CHAT ===\n');

  // Step 1: Fetch patient context
  console.log('1. Fetching patient context...');
  let context;
  try {
    context = await fetchPatientContext();
    console.log(`   Patient: ${context.patient.name}, ${context.patient.age} years old`);
    console.log(`   Location: ${context.current_status.location}`);
    console.log(`   Activity: ${context.current_status.estimated_activity}`);
    console.log('   Context API: OK\n');
  } catch (e) {
    console.log(`   ERROR: ${e.message}\n`);
    process.exit(1);
  }

  // Step 2: Ask questions about patient
  const questions = [
    'How is my father doing today?',
    'Did he sleep well last night?',
    'Where is he right now?'
  ];

  console.log('2. Testing AI chat responses:\n');

  for (const question of questions) {
    console.log(`Q: "${question}"`);
    try {
      const answer = await askAboutPatient(context, question);
      console.log(`A: ${answer}\n`);
    } catch (e) {
      console.log(`ERROR: ${e.message}\n`);
    }
  }

  console.log('=== CHAT TEST COMPLETE ===');
}

main().catch(console.error);