/**
 * Example usage of the InstantSplat TypeScript API client
 * 
 * Run with: npx tsx example_api_usage.ts
 */

import { processImages, completeWorkflow } from "./api_client.js";

// Example 1: Simple usage - Get GLB URL
async function example1() {
  console.log("\n=== Example 1: Get GLB URL ===\n");
  
  const result = await processImages(
    ["test01/IMG_8533.jpeg", "test01/IMG_8534.jpeg", "test01/IMG_8535.jpeg"],
    "your-username/InstantSplat" // or use env var
  );

  if (result.status === "success") {
    console.log("✅ Success!");
    console.log("GLB URL:", result.glb_url);
    console.log("PLY URL:", result.ply_url);
  } else {
    console.error("❌ Error:", result.error);
  }
}

// Example 2: Complete workflow - Process and download
async function example2() {
  console.log("\n=== Example 2: Complete Workflow ===\n");
  
  const localPath = await completeWorkflow(
    ["test01/IMG_8533.jpeg", "test01/IMG_8534.jpeg", "test01/IMG_8535.jpeg"],
    "./my_models", // output directory
    "your-username/InstantSplat"
  );

  if (localPath) {
    console.log("🎉 Model saved to:", localPath);
  } else {
    console.error("Failed to process or download model");
  }
}

// Example 3: Batch processing multiple scenes
async function example3() {
  console.log("\n=== Example 3: Batch Processing ===\n");
  
  const scenes = [
    ["scene1_img1.jpg", "scene1_img2.jpg", "scene1_img3.jpg"],
    ["scene2_img1.jpg", "scene2_img2.jpg", "scene2_img3.jpg"],
  ];

  const results = [];

  for (let i = 0; i < scenes.length; i++) {
    console.log(`\nProcessing scene ${i + 1}/${scenes.length}...`);
    
    const result = await processImages(
      scenes[i],
      "your-username/InstantSplat"
    );
    
    results.push({
      scene: i + 1,
      ...result
    });

    // Rate limiting - be nice to the server
    await new Promise(resolve => setTimeout(resolve, 2000));
  }

  // Summary
  console.log("\n=== Batch Processing Summary ===\n");
  results.forEach(r => {
    if (r.status === "success") {
      console.log(`Scene ${r.scene}: ✅ ${r.glb_url}`);
    } else {
      console.log(`Scene ${r.scene}: ❌ ${r.error}`);
    }
  });
}

// Example 4: With error handling and retries
async function example4() {
  console.log("\n=== Example 4: With Retries ===\n");
  
  async function processWithRetry(
    images: string[], 
    maxRetries: number = 3
  ) {
    for (let attempt = 1; attempt <= maxRetries; attempt++) {
      console.log(`Attempt ${attempt}/${maxRetries}...`);
      
      const result = await processImages(
        images,
        "your-username/InstantSplat"
      );

      if (result.status === "success") {
        return result;
      }

      console.log(`Failed: ${result.error}`);
      
      if (attempt < maxRetries) {
        const delay = Math.pow(2, attempt) * 1000; // exponential backoff
        console.log(`Retrying in ${delay}ms...`);
        await new Promise(resolve => setTimeout(resolve, delay));
      }
    }

    throw new Error("All retry attempts failed");
  }

  try {
    const result = await processWithRetry([
      "test01/IMG_8533.jpeg",
      "test01/IMG_8534.jpeg", 
      "test01/IMG_8535.jpeg"
    ]);
    
    console.log("✅ Success after retry!");
    console.log("GLB URL:", result.glb_url);
  } catch (error) {
    console.error("❌ Failed after all retries:", error);
  }
}

// Example 5: Integration with Express.js API
function example5Code() {
  return `
// Express.js API endpoint example
import express from 'express';
import { processImages } from './api_client';

const app = express();

app.post('/api/process-images', async (req, res) => {
  try {
    const { images } = req.body; // Array of image paths or URLs
    
    const result = await processImages(
      images,
      process.env.INSTANTSPLAT_SPACE
    );

    if (result.status === 'success') {
      res.json({
        success: true,
        glb_url: result.glb_url,
        ply_url: result.ply_url
      });
    } else {
      res.status(500).json({
        success: false,
        error: result.error
      });
    }
  } catch (error) {
    res.status(500).json({
      success: false,
      error: String(error)
    });
  }
});

app.listen(3000, () => {
  console.log('API running on http://localhost:3000');
});
`;
}

// Example 6: React component integration
function example6Code() {
  return `
// React component example
import { useState } from 'react';
import { processImages } from './api_client';

function InstantSplatUploader() {
  const [loading, setLoading] = useState(false);
  const [result, setResult] = useState(null);

  const handleSubmit = async (files: File[]) => {
    setLoading(true);
    
    try {
      // Convert files to paths or upload them first
      const imagePaths = files.map(f => f.path);
      
      const result = await processImages(
        imagePaths,
        process.env.NEXT_PUBLIC_INSTANTSPLAT_SPACE
      );
      
      setResult(result);
    } catch (error) {
      console.error(error);
    } finally {
      setLoading(false);
    }
  };

  return (
    <div>
      {loading && <p>Processing...</p>}
      
      {result?.status === 'success' && (
        <div>
          <h3>Your 3D Model:</h3>
          <a href={result.glb_url}>Download GLB</a>
          <a href={result.ply_url}>Download PLY</a>
        </div>
      )}
      
      {result?.status === 'error' && (
        <p>Error: {result.error}</p>
      )}
    </div>
  );
}
`;
}

// Run examples
async function main() {
  console.log("InstantSplat API - TypeScript Examples");
  console.log("=" .repeat(80));

  // Uncomment the examples you want to run:
  
  // await example1(); // Simple usage
  // await example2(); // Complete workflow
  // await example3(); // Batch processing
  // await example4(); // With retries

  // Code examples (not executable):
  console.log("\n=== Example 5: Express.js Integration ===");
  console.log(example5Code());

  console.log("\n=== Example 6: React Component ===");
  console.log(example6Code());

  console.log("\n💡 Uncomment the examples in main() to run them!");
}

// Run if this file is executed directly (ES module compatible)
const isMainModule = import.meta.url === `file://${process.argv[1]}`;
if (isMainModule) {
  main().catch(console.error);
}

export {
  example1,
  example2,
  example3,
  example4
};