"""
Client Examples for Quran Transcription API

This file contains example code for different programming languages
to interact with the Quran Transcription API.
"""

# ============================================================================
# PYTHON EXAMPLES
# ============================================================================

# Example 1: Simple Transcription with Requests
def python_simple_transcription():
    import requests
    
    with open("audio.mp3", "rb") as f:
        files = {"file": f}
        response = requests.post(
            "http://localhost:8888/transcribe",
            files=files
        )
    
    result = response.json()
    print(f"Transcription: {result['transcription']}")
    print(f"Confidence: {result['language_probability']:.2%}")
    print(f"Processing time: {result['processing_time']:.2f}s")
    
    for segment in result['segments']:
        print(f"[{segment['start']:.2f}s - {segment['end']:.2f}s] {segment['text']}")


# Example 2: Batch Transcription
def python_batch_transcription():
    import requests
    from pathlib import Path
    
    audio_files = Path(".").glob("*.mp3")
    
    with requests.post(
        "http://localhost:8888/transcribe-batch",
        files=[("files", open(f, "rb")) for f in audio_files]
    ) as response:
        result = response.json()
        for item in result['results']:
            if item['success']:
                print(f"✓ {item['filename']}: {item['transcription'][:100]}...")
            else:
                print(f"✗ {item['filename']}: {item['error']}")


# Example 3: Async Client with AsyncIO
async def python_async_transcription():
    import aiohttp
    import asyncio
    
    async with aiohttp.ClientSession() as session:
        with open("audio.mp3", "rb") as f:
            data = aiohttp.FormData()
            data.add_field('file', f, filename='audio.mp3')
            
            async with session.post(
                "http://localhost:8888/transcribe",
                data=data
            ) as response:
                result = await response.json()
                return result


# Example 4: Using httpx with async
async def python_httpx_transcription():
    import httpx
    
    async with httpx.AsyncClient() as client:
        with open("audio.mp3", "rb") as f:
            response = await client.post(
                "http://localhost:8888/transcribe",
                files={"file": f}
            )
        return response.json()


# ============================================================================
# JAVASCRIPT/NODE.JS EXAMPLES
# ============================================================================

javascript_simple = """
// Example 1: Simple Transcription with Fetch
async function transcribeAudio(audioFile) {
  const formData = new FormData();
  formData.append('file', audioFile);
  
  const response = await fetch('http://localhost:8888/transcribe', {
    method: 'POST',
    body: formData
  });
  
  const result = await response.json();
  console.log('Transcription:', result.transcription);
  console.log('Language Probability:', result.language_probability);
  console.log('Processing Time:', result.processing_time, 'seconds');
  
  // Display segments
  result.segments.forEach(segment => {
    console.log(`[${segment.start.toFixed(2)}s - ${segment.end.toFixed(2)}s] ${segment.text}`);
  });
  
  return result;
}

// Usage
document.getElementById('uploadBtn').addEventListener('click', async (e) => {
  const file = document.getElementById('audioFile').files[0];
  const result = await transcribeAudio(file);
});
"""

javascript_axios = """
// Example 2: Using Axios
const axios = require('axios');
const FormData = require('form-data');
const fs = require('fs');

async function transcribeWithAxios(audioFilePath) {
  const form = new FormData();
  form.append('file', fs.createReadStream(audioFilePath));
  
  try {
    const response = await axios.post(
      'http://localhost:8888/transcribe',
      form,
      { headers: form.getHeaders() }
    );
    
    console.log('Result:', response.data);
    return response.data;
  } catch (error) {
    console.error('Error:', error.response?.data || error.message);
  }
}

// Usage
transcribeWithAxios('./audio.mp3');
"""

javascript_batch = """
// Example 3: Batch Upload
async function batchTranscribe(audioFiles) {
  const formData = new FormData();
  audioFiles.forEach(file => {
    formData.append('files', file);
  });
  
  const response = await fetch('http://localhost:8888/transcribe-batch', {
    method: 'POST',
    body: formData
  });
  
  const results = await response.json();
  
  console.log(`Successful: ${results.successful}/${results.total_files}`);
  
  results.results.forEach(item => {
    if (item.success) {
      console.log(`✓ ${item.filename}: ${item.transcription}`);
    } else {
      console.log(`✗ ${item.filename}: ${item.error}`);
    }
  });
  
  return results;
}
"""

# ============================================================================
# CURL EXAMPLES
# ============================================================================

curl_examples = """
# Single File Transcription
curl -X POST \\
  -F "file=@audio.mp3" \\
  http://localhost:8888/transcribe | jq .

# Batch Transcription
curl -X POST \\
  -F "files=@audio1.mp3" \\
  -F "files=@audio2.wav" \\
  http://localhost:8888/transcribe-batch | jq .

# Health Check
curl http://localhost:8888/health | jq .

# With API Key (if implemented)
curl -H "Authorization: Bearer YOUR_API_KEY" \\
  -F "file=@audio.mp3" \\
  http://localhost:8888/transcribe | jq .

# Save response to file
curl -X POST \\
  -F "file=@audio.mp3" \\
  http://localhost:8888/transcribe \\
  -o result.json

# Pretty print response
curl -X POST \\
  -F "file=@audio.mp3" \\
  http://localhost:8888/transcribe \\
  -s | python -m json.tool
"""

# ============================================================================
# REACT EXAMPLE
# ============================================================================

react_example = """
import React, { useState } from 'react';
import axios from 'axios';

function QuranTranscriber() {
  const [file, setFile] = useState(null);
  const [transcription, setTranscription] = useState(null);
  const [loading, setLoading] = useState(false);
  const [error, setError] = useState(null);

  const handleFileChange = (e) => {
    setFile(e.target.files[0]);
  };

  const handleSubmit = async (e) => {
    e.preventDefault();
    if (!file) {
      setError('Please select a file');
      return;
    }

    const formData = new FormData();
    formData.append('file', file);

    setLoading(true);
    setError(null);

    try {
      const response = await axios.post(
        'http://localhost:8888/transcribe',
        formData,
        {
          headers: { 'Content-Type': 'multipart/form-data' },
          onUploadProgress: (progressEvent) => {
            const percentCompleted = Math.round(
              (progressEvent.loaded * 100) / progressEvent.total
            );
            console.log(`Upload progress: ${percentCompleted}%`);
          }
        }
      );

      setTranscription(response.data);
    } catch (err) {
      setError(err.response?.data?.detail || 'Transcription failed');
    } finally {
      setLoading(false);
    }
  };

  return (
    <div className="container">
      <h1>Quran Transcriber</h1>
      
      <form onSubmit={handleSubmit}>
        <input 
          type="file" 
          onChange={handleFileChange}
          accept="audio/*"
        />
        <button type="submit" disabled={loading}>
          {loading ? 'Transcribing...' : 'Transcribe'}
        </button>
      </form>

      {error && <div className="error">{error}</div>}

      {transcription && (
        <div className="results">
          <h2>Transcription</h2>
          <p>{transcription.transcription}</p>
          
          <h3>Details</h3>
          <ul>
            <li>Language: {transcription.language}</li>
            <li>Confidence: {(transcription.language_probability * 100).toFixed(2)}%</li>
            <li>Processing Time: {transcription.processing_time.toFixed(2)}s</li>
          </ul>

          <h3>Segments</h3>
          <ul>
            {transcription.segments.map((seg, idx) => (
              <li key={idx}>
                [{seg.start.toFixed(2)}s - {seg.end.toFixed(2)}s] {seg.text}
              </li>
            ))}
          </ul>
        </div>
      )}
    </div>
  );
}

export default QuranTranscriber;
"""

# ============================================================================
# PYTHON STREAMING EXAMPLE
# ============================================================================

python_streaming = """
import requests
from pathlib import Path

def transcribe_with_streaming(audio_file_path, chunk_size=1024*1024):
    '''
    Transcribe audio file with progress streaming
    '''
    file_size = Path(audio_file_path).stat().st_size
    
    with open(audio_file_path, 'rb') as f:
        # Create a progress callback
        def progress_callback(monitor):
            bytes_read = monitor.bytes_read
            progress = (bytes_read / file_size) * 100
            print(f'Upload progress: {progress:.1f}%')
        
        # Use requests-toolbelt for progress
        from requests_toolbelt import MultipartEncoder, MultipartEncoderMonitor
        
        fields = {
            'file': (Path(audio_file_path).name, f, 'audio/mpeg')
        }
        
        m = MultipartEncoder(fields=fields)
        monitor = MultipartEncoderMonitor(
            m,
            callback=progress_callback
        )
        
        response = requests.post(
            'http://localhost:8888/transcribe',
            data=monitor,
            headers={'Content-Type': monitor.content_type}
        )
    
    return response.json()
"""

# ============================================================================
# POSTMAN COLLECTION
# ============================================================================

postman_collection = """{
  "info": {
    "name": "Quran Transcription API",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "item": [
    {
      "name": "Health Check",
      "request": {
        "method": "GET",
        "url": "http://localhost:8888/health"
      }
    },
    {
      "name": "Transcribe Single File",
      "request": {
        "method": "POST",
        "url": "http://localhost:8888/transcribe",
        "body": {
          "mode": "formdata",
          "formdata": [
            {
              "key": "file",
              "type": "file",
              "src": "/path/to/audio.mp3"
            }
          ]
        }
      }
    },
    {
      "name": "Transcribe Batch",
      "request": {
        "method": "POST",
        "url": "http://localhost:8888/transcribe-batch",
        "body": {
          "mode": "formdata",
          "formdata": [
            {
              "key": "files",
              "type": "file",
              "src": ["/path/to/audio1.mp3", "/path/to/audio2.wav"]
            }
          ]
        }
      }
    }
  ]
}
"""

if __name__ == "__main__":
    print("=" * 60)
    print("QURAN TRANSCRIPTION API - CLIENT EXAMPLES")
    print("=" * 60)
    print("\nSee code comments for various implementation examples.")
    print("\nQuick Examples:")
    print("\n1. Python with Requests:")
    print("   python_simple_transcription()")
    print("\n2. Curl:")
    print("   curl -F 'file=@audio.mp3' http://localhost:8888/transcribe")
    print("\n3. JavaScript Fetch:")
    print("   transcribeAudio(audioFile)")