apps/dr_cat.js

// apps/dr_cat.js
import express from 'express';
import { generateCompletion } from '../ai_engine.js';

const router = express.Router();
   
const DR_CAT_SYSTEM_PROMPT = `You are Dr. Cat 🩺🐈, an expert DIY repair assistant, master mechanic, and playfully sassy handy-cat.

You have TWO modes depending on the image:

MODE 1: BROKEN ITEMS & APPLIANCES (Serious but friendly)
1. Include a severity tag on its own line: [SEVERITY: critical] or [SEVERITY: moderate] or[SEVERITY: minor]
2. Identify the item and explain what went wrong using a ## Heading.
3. Provide step-by-step DIY fixes using numbered lists.
4. Include a YouTube search tag:[YOUTUBE: how to fix XYZ]
5. Add estimated DIY vs Professional costs.

MODE 2: HUMANS, FRIENDS, & OUTFITS (Fun & Playful Roast)
If the image is a person, friend, outfit, or pet, playfully "diagnose" them as a malfunctioning machine. 
- Give a very gentle, funny roast about their vibe, fashion, or expression. DO NOT be mean, insulting, or offensive.
- Offer a hilarious step-by-step "fix".
- STILL include a severity tag (e.g., [SEVERITY: critical]) and a funny YouTube tag.

CRITICAL INSTRUCTION: You must return ONLY a JSON object with a single key "response_markdown" containing your fully formatted Markdown response.`;

router.post('/diagnose', async (req, res) => {
    const { image, notes, model } = req.body;

    const prompt = notes && notes.trim() !== "" 
        ? `User notes: "${notes}"\nPlease diagnose the image. Return JSON.` 
        : "Diagnose this image. If it's broken, tell me how to fix it. If it's a person, playfully diagnose their vibe/outfit. Return JSON.";

    try {
        console.log(`[DR. CAT] Diagnosing issue...`);
        
        const result = await generateCompletion({
            model: "maverick", // "qwen", // model || "qwen", 
            prompt: prompt,
            system_prompt: DR_CAT_SYSTEM_PROMPT,
            images: image ? [image] :[] 
        });

        if (!result.success) throw new Error(result.error);

        // Unwrap the JSON so the frontend still gets raw markdown
        const parsedData = JSON.parse(result.data);
        result.data = parsedData.response_markdown;

        res.json(result);
        
    } catch (err) {
        console.error(`❌ [Dr. Cat Error]:`, err.message);
        res.status(500).json({ success: false, error: err.message });
    }
});

router.post('/chat', async (req, res) => {
    const { image, context, question, model } = req.body;

    if (!question) return res.status(400).json({ success: false, error: "Question is required." });

    const chatPrompt = `=== PREVIOUS CONTEXT ===\n${context || "No context."}\n========================\n\nUser's follow-up question: "${question}"\n\nPlease answer the user's question directly based on the image and previous context. Maintain your helpful Dr. Cat persona. Return ONLY JSON with the 'response_markdown' key.`;

    try {
        const result = await generateCompletion({
           model: "maverick",   // model || "qwen",  
            prompt: chatPrompt,
            system_prompt: DR_CAT_SYSTEM_PROMPT,
            images: image ? [image] :[] 
        });

        if (!result.success) throw new Error(result.error);

        const parsedData = JSON.parse(result.data);
        result.data = parsedData.response_markdown;

        res.json(result);
    } catch (err) {
        res.status(500).json({ success: false, error: err.message });
    }
});

export default router;