EventBuzz_Backend/src/utils/conciergeIntent.js

const { createBedrockClient, getBedrockConfig } = require('./bedrockClient');
const { converse, responseText } = require('./bedrockConverse');

const INTENT_CATEGORIES = {
  EVENT_INFORMATION: 'Event Information',
  PERSONAL_INFORMATION: 'Personal Information',
  FOOD: 'Food',
  PLACES: 'Places',
  UNRECOGNIZED: 'unrecognized',
};

function tryParse(s) {

  if (!s) return null;

  const trimmed = String(s).trim();

  try {
    return JSON.parse(trimmed);
  } catch {

    const fenced =
      trimmed.match(/```json\s*([\s\S]*?)\s*```/i) ||
      trimmed.match(/```\s*([\s\S]*?)\s*```/i);

    if (fenced?.[1]) {
      try {
        return JSON.parse(fenced[1]);
      } catch {}
    }

    const objectMatch = trimmed.match(/\{[\s\S]*\}/);

    if (objectMatch?.[0]) {
      try {
        return JSON.parse(objectMatch[0]);
      } catch {}
    }

    return null;
  }
}

function classifyByRules(message) {
  const text = String(message || '').toLowerCase();

  // PERSONAL
  if (
    /\b(my|am i|me)\b/.test(text) &&
    /\b(ticket|badge|registration|registered|qr|check.?in|seat|profile)\b/.test(text)
  ) {
    return { category: 'Personal Information', databaseSearchNeeded: true };
  }

  // EVENT
  if (
    /\b(session|sessions|schedule|agenda|speaker|speakers|workshop|workshops|keynote|program)\b/.test(
      text,
    )
  ) {
    return { category: 'Event Information', databaseSearchNeeded: true };
  }

  // FOOD
  if (
    /\b(food|eat|restaurant|cafe|vendor|menu|breakfast|lunch|dinner|coffee|tea|vegetarian|vegan)\b/.test(
      text,
    )
  ) {
    return { category: 'Food', databaseSearchNeeded: true };
  }

  // PLACES
  if (
    /\b(hall|room|booth|parking|restroom|bathroom|gate|entrance|exit|directions|map|stage)\b/.test(
      text,
    )
  ) {
    return { category: 'Places', databaseSearchNeeded: true };
  }

  // GREETINGS
  if (/\b(hello|hi|hey|good morning|good afternoon)\b/.test(text)) {
    return { category: 'unrecognized', databaseSearchNeeded: false };
  }

  return null;
}

function buildIntentClassificationPrompt() {
  return `You are an intent classifier for an event assistant.

Classify the CURRENT USER MESSAGE into exactly ONE category from:
- Event Information
- Personal Information
- Food
- Places
- unrecognized

Categories:
- Event Information: schedules, sessions, workshops, speakers, agendas, programs, event details
- Personal Information: my registration, my ticket, badge, QR code, check-in, attendee profile
- Food: food, meals, restaurants, cafes, vendors, dietary preferences
- Places: halls, rooms, parking, restrooms, directions, booths
- unrecognized: greetings, compliments, or unrelated requests

Rules:
- If the message is about the user themselves (ticket/badge/QR/check-in/profile), use Personal Information.
- If the message is about what/when/where inside the event (schedule, speakers, sessions, workshops, agenda, program), use Event Information.
- If the message asks what to eat or where to eat, use Food.
- If the message asks for navigation inside the venue (directions/maps/where is X room/stage/booth), use Places.

Also decide whether the backend should perform a knowledge base lookup:
- databaseSearchNeeded: true when the answer depends on event knowledge or places/food knowledge.
- databaseSearchNeeded: false for greetings or non-actionable messages.

Output format (STRICT):
Return ONLY a valid minified JSON object with this exact schema:
{"category":"Event Information"|"Personal Information"|"Food"|"Places"|"unrecognized","databaseSearchNeeded":true|false}
`;
}



function normalizeMessagesToText(messages) {
  if (!Array.isArray(messages)) return '';
  return messages
    .slice(-6)
    .map((m) => {
      const role = m?.role === 'assistant' ? 'Assistant' : 'User';
      const text = String(m?.text || '').trim();
      return `${role}: ${text}`.trim();
    })
    .filter(Boolean)
    .join('\n');
}

async function determineIntentCategory(chatContextMessages = []) {

  const latestUserMessage =
    [...chatContextMessages]
      .reverse()
      .find(m => m.role === 'user')
      ?.text || '';

  // Rule-based classification first
  const ruleResult = classifyByRules(latestUserMessage);

  if (ruleResult) {
    return ruleResult;
  }

  // Fallback to Nova Lite
  const { region, modelId } = getBedrockConfig();

  const client = createBedrockClient(region);

  const system = buildIntentClassificationPrompt();

  const userText = `
CURRENT USER MESSAGE:
${latestUserMessage}

Return JSON only.
`;

  const response = await converse(client, modelId, {
    system: [{ text: system }],
    messages: [
      {
        role: 'user',
        content: [{ text: userText }]
      }
    ],
    inferenceConfig: {
      temperature: 0,
      topP: 0.01,
      maxTokens: 50
    }
  });

  const raw = responseText(response);

  const parsed = tryParse(raw);

  const category =
    parsed?.category &&
    Object.values(INTENT_CATEGORIES).includes(parsed.category)
      ? parsed.category
      : INTENT_CATEGORIES.UNRECOGNIZED;

  const databaseSearchNeeded =
    typeof parsed?.databaseSearchNeeded === 'boolean'
      ? parsed.databaseSearchNeeded
      : false;

  return {
    category,
    databaseSearchNeeded
  };
}

module.exports = {
  determineIntentCategory,
  INTENT_CATEGORIES,
};