#!/usr/bin/env node

/**
 * SAP AI Provider - Image Recognition Example
 *
 * This example demonstrates multi-modal capabilities (text + images)
 * using the SAP AI Provider with vision-enabled models.
 *
 * Authentication:
 * - On SAP BTP: Automatically uses service binding (VCAP_SERVICES)
 * - Locally: Set AICORE_SERVICE_KEY environment variable with your service key JSON
 */

import { generateText } from "ai";
import { createSAPAIProvider } from "../src/index";
import "dotenv/config";

await (async () => {
  console.log("🖼️  SAP AI Image Recognition Example\n");

  // Verify AICORE_SERVICE_KEY is set for local development
  if (!process.env.AICORE_SERVICE_KEY && !process.env.VCAP_SERVICES) {
    console.warn(
      "⚠️  Warning: AICORE_SERVICE_KEY environment variable not set.",
    );
    console.warn(
      "   Set it in your .env file or environment for local development.\n",
    );
  }

  const provider = createSAPAIProvider();

  // Example 1: Using a public URL
  console.log("📸 Example 1: Public URL Image");
  console.log("==============================");

  const { text: urlResponse } = await generateText({
    model: provider("gpt-4o"),
    messages: [
      {
        role: "user",
        content: [
          {
            type: "text",
            text: "What do you see in this image?",
          },
          {
            type: "image",
            image: new URL(
              "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png",
            ),
          },
        ],
      },
    ],
  });

  console.log("🤖 Response:", urlResponse);
  console.log("");

  // Example 2: Using base64 encoded image
  console.log("📸 Example 2: Base64 Encoded Image");
  console.log("==================================");

  // Small 1x1 pixel red PNG for demo
  const base64Image =
    "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg==";

  const { text: base64Response } = await generateText({
    model: provider("gpt-4o"),
    messages: [
      {
        role: "user",
        content: [
          {
            type: "text",
            text: "Describe this image in detail.",
          },
          {
            type: "image",
            image: `data:image/png;base64,${base64Image}`,
          },
        ],
      },
    ],
  });

  console.log("🤖 Response:", base64Response);
  console.log("");

  // Example 3: Multiple images analysis
  console.log("📸 Example 3: Multiple Images Analysis");
  console.log("=====================================");

  const { text: multiResponse } = await generateText({
    model: provider("gpt-4o"),
    messages: [
      {
        role: "user",
        content: [
          {
            type: "text",
            text: "Compare these two images and tell me what you notice:",
          },
          {
            type: "image",
            image: new URL(
              "https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/PNG_transparency_demonstration_1.png/280px-PNG_transparency_demonstration_1.png",
            ),
          },
          {
            type: "image",
            image: `data:image/png;base64,${base64Image}`,
          },
        ],
      },
    ],
  });

  console.log("🤖 Response:", multiResponse);
  console.log("");

  console.log("✅ All examples completed successfully!");
})();