hum-functions/functions/index.js

// index.js
const { onRequest } = require("firebase-functions/v2/https");
const { defineString } = require("firebase-functions/params");
const admin = require("firebase-admin");
const { GoogleGenerativeAI } = require("@google/generative-ai");

// Initialize Firebase Admin
admin.initializeApp();

// Define environment parameter for Gemini API key
// Set this using: firebase functions:secrets:set GEMINI_API_KEY
const GEMINI_API_KEY = defineString("GEMINI_API_KEY");

const MODEL_NAME = "gemini-2.5-flash";

/**
 * Fetches an image from a public URL and returns base64 + mimeType.
 */
const fetch_image_as_base64 = async (image_url) => {
  const response = await fetch(image_url);

  if (!response.ok) {
    throw new Error(
      `Failed to fetch image: ${response.status} ${response.statusText}`,
    );
  }

  const array_buffer = await response.arrayBuffer();
  const base64_data = Buffer.from(array_buffer).toString("base64");
  const mime_type = response.headers.get("content-type") || "image/jpeg";

  return { base64_data, mime_type };
};

/**
 * Fetches categories from Firestore and returns them in a format
 * that Gemini can use to assign a category ID.
 * Only returns categories where visible = true.
 */
const fetch_categories_from_firestore = async () => {
  const db = admin.firestore();
  const categories_snapshot = await db
    .collection("categories")
    .where("visible", "==", true)
    .get();

  const categories = [];
  categories_snapshot.forEach((doc) => {
    let cat_data = doc.data();
    cat_data.id = doc.id;
    categories.push(cat_data);
  });

  return categories;
};

/**
 * Main logic: takes an image URL, calls Gemini, and returns the description text.
 */
const describe_image_from_url = async (image_url, api_key) => {
  if (!api_key) {
    throw new Error("Missing Gemini API key");
  }

  // Initialize Gemini
  const gen_ai = new GoogleGenerativeAI(api_key);
  const model = gen_ai.getGenerativeModel({ model: MODEL_NAME });

  // Fetch categories from Firestore
  const categories = await fetch_categories_from_firestore();

  // Format categories for the prompt
  const categories_list = categories
    .map((cat) => `${cat.id}: ${cat.name}`)
    .join(", ");

  const { base64_data, mime_type } = await fetch_image_as_base64(image_url);

  const prompt = `Analyze this rental item for marketplace listing with value estimation. Return raw JSON only, no markdown:
    {
        "title": "Clear, concise title (max 50 chars)",
        "description": "Detailed description (2-3 sentences)",
        "categoryId": "Category ID from this list: [${categories_list}]. If none match, leave this field as an empty string",
        "condition": "One of: New, Like New, Good, Fair, Poor",
        "suggestedDailyPrice": 15.99,
        "suggestedWeeklyPrice": 89.99,
        "suggestedMonthlyPrice": 299.99,
        "estimatedValue": 599.99,
        "brand": "Brand name if identifiable",
        "model": "Model if identifiable",
        "features": ["Key feature 1", "Feature 2", "Feature 3"],
        "targetAudience": ["Students", "Professionals", "Families"],
        "seasonality": "One of: Year-round, Summer, Winter, Spring, Fall, Holiday",
        "insuranceRecommended": true,
        "depositSuggestion": 100.00
    }`;

  const result = await model.generateContent({
    contents: [
      {
        role: "user",
        parts: [
          { text: prompt },
          {
            inlineData: {
              data: base64_data,
              mimeType: mime_type,
            },
          },
        ],
      },
    ],
  });

  return result.response.text();
};

// Firebase Cloud Function
// Call this from your Flutter app
// Function name: hum-process-image
exports.humprocessimage = onRequest(
  {
    cors: true,
  },
  async (req, res) => {
    if (req.method !== "POST") {
      return res.status(405).json({ error: "Method not allowed" });
    }

    try {
      const { imageUrl } = req.body;

      if (!imageUrl) {
        return res
          .status(400)
          .json({ error: "Missing imageUrl in request body" });
      }

      const result = await describe_image_from_url(
        imageUrl,
        GEMINI_API_KEY.value()
      );

      // Parse the JSON response from Gemini
      // Remove markdown code blocks if present
      let cleaned_result = result.trim();
      if (cleaned_result.startsWith("```json")) {
        cleaned_result = cleaned_result.replace(/^```json\n/, "").replace(/\n```$/, "");
      } else if (cleaned_result.startsWith("```")) {
        cleaned_result = cleaned_result.replace(/^```\n/, "").replace(/\n```$/, "");
      }

      const parsed_result = JSON.parse(cleaned_result);

      return res.status(200).json({
        success: true,
        data: parsed_result,
      });
    } catch (error) {
      console.error("Error analyzing rental item:", error);
      return res.status(500).json({
        success: false,
        error: error.message,
      });
    }
  }
);