"""
Example: Using OpenAI SDK with OpenELM API

This example demonstrates how to use the OpenAI SDK (or compatible client)
to call OpenELM models through our OpenAI API compatible wrapper.

Note: The official openai Python package requires the API server to have
proper authentication. For testing, use the included OpenAIClient helper.

Usage:
    python examples/openai_sdk_example.py
"""

import sys
import os

# Add parent directory to path for imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from app import OpenAIClient


def main():
    """Example usage of the OpenAI-compatible OpenELM API."""
    
    # Create client pointing to our local API
    base_url = os.environ.get("OPENELM_API_URL", "http://localhost:8000")
    client = OpenAIClient(base_url=base_url, api_key="dummy-key")
    
    print("=" * 60)
    print("OpenELM OpenAI API - Usage Example")
    print("=" * 60)
    print(f"API URL: {base_url}")
    print()
    
    # Example 1: Basic chat completion
    print("Example 1: Basic Chat Completion")
    print("-" * 40)
    
    response = client.chat.completions.create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "Say hello in a friendly way!"}
        ],
        max_tokens=100,
        temperature=0.7
    )
    
    print(f"Response ID: {response['id']}")
    print(f"Model: {response['model']}")
    print(f"Content: {response['choices'][0]['message']['content']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 2: Multi-turn conversation
    print("Example 2: Multi-turn Conversation")
    print("-" * 40)
    
    response = client.chat.completions.create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "What is artificial intelligence?"},
            {"role": "assistant", "content": "Artificial intelligence (AI) refers to systems that can perform tasks that typically require human intelligence."},
            {"role": "user", "content": "What are some examples?"}
        ],
        max_tokens=150,
        temperature=0.5
    )
    
    print(f"Content: {response['choices'][0]['message']['content']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 3: Using system message
    print("Example 3: Using System Message")
    print("-" * 40)
    
    response = client.chat.completions.create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "system", "content": "You are a helpful coding assistant."},
            {"role": "user", "content": "What is a Python decorator?"}
        ],
        max_tokens=200,
        temperature=0.8
    )
    
    print(f"Content: {response['choices'][0]['message']['content']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 4: Deterministic generation (temperature=0)
    print("Example 4: Deterministic Generation (temperature=0)")
    print("-" * 40)
    
    response = client.chat.completions.create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "What is 2 + 2?"}
        ],
        max_tokens=50,
        temperature=0.0  # Deterministic output
    )
    
    print(f"Content: {response['choices'][0]['message']['content']}")
    print(f"Usage: {response['usage']}")
    print()
    
    # Example 5: Streaming response
    print("Example 5: Streaming Response")
    print("-" * 40)
    print("Streaming response:")
    
    response = client.chat.completions.create(
        model="openelm-450m-instruct",
        messages=[
            {"role": "user", "content": "Count to 5, one number per line."}
        ],
        max_tokens=100,
        temperature=0.7,
        stream=True
    )
    
    # For streaming, response is a generator
    chunk_count = 0
    for chunk in response:
        if 'choices' in chunk and chunk['choices']:
            delta = chunk['choices'][0].get('delta', {})
            if 'content' in delta:
                content = delta['content']
                if content:
                    print(content, end="", flush=True)
                    chunk_count += 1
        elif 'error' in chunk:
            print(f"Error: {chunk['error']}")
            break
    
    print("\n")
    print(f"Received {chunk_count} chunks")
    print()
    
    print("=" * 60)
    print("All examples completed successfully!")
    print("=" * 60)


if __name__ == "__main__":
    main()