examples/groq_client_example.py

#!/usr/bin/env python3
"""

Example usage of the Groq LangChain integration service.



This script demonstrates how to use the GroqClient for chat-based

programming assistance with language context switching and chat history.

"""

import os
import sys
from datetime import datetime

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

from chat_agent.services.groq_client import (
    GroqClient,
    ChatMessage,
    LanguageContext,
    create_language_context,
    GroqAuthenticationError
)


def example_basic_usage():
    """Example of basic GroqClient usage"""
    print("=== Basic GroqClient Usage Example ===\n")
    
    try:
        # Initialize client (requires GROQ_API_KEY environment variable)
        client = GroqClient()
        print("✓ GroqClient initialized successfully")
        
        # Get model information
        info = client.get_model_info()
        print(f"Model: {info['model']}")
        print(f"Max tokens: {info['max_tokens']}")
        print(f"Temperature: {info['temperature']}")
        print()
        
    except GroqAuthenticationError:
        print("❌ API key not configured. Set GROQ_API_KEY environment variable.")
        return None
    
    return client


def example_language_contexts():
    """Example of creating and using language contexts"""
    print("=== Language Context Examples ===\n")
    
    # Create contexts for different programming languages
    languages = ["python", "javascript", "java", "cpp"]
    
    for lang in languages:
        context = create_language_context(lang)
        print(f"{lang.upper()} Context:")
        print(f"  Language: {context.language}")
        print(f"  Syntax highlighting: {context.syntax_highlighting}")
        print(f"  Template preview: {context.prompt_template[:100]}...")
        print()


def example_chat_history():
    """Example of building chat history"""
    print("=== Chat History Example ===\n")
    
    # Create sample chat history
    chat_history = [
        ChatMessage(
            role="user",
            content="What is Python?",
            language="python",
            timestamp=datetime.now().isoformat()
        ),
        ChatMessage(
            role="assistant",
            content="Python is a high-level, interpreted programming language known for its simplicity and readability.",
            language="python",
            timestamp=datetime.now().isoformat()
        ),
        ChatMessage(
            role="user",
            content="How do I create a list in Python?",
            language="python",
            timestamp=datetime.now().isoformat()
        ),
        ChatMessage(
            role="assistant",
            content="You can create a list in Python using square brackets: my_list = [1, 2, 3, 'hello']",
            language="python",
            timestamp=datetime.now().isoformat()
        )
    ]
    
    print(f"Created chat history with {len(chat_history)} messages:")
    for i, msg in enumerate(chat_history, 1):
        print(f"  {i}. {msg.role}: {msg.content[:50]}...")
    print()
    
    return chat_history


def example_message_building(client, chat_history):
    """Example of building messages for API calls"""
    print("=== Message Building Example ===\n")
    
    if not client:
        print("Skipping message building (no client available)")
        return
    
    # Create language context
    python_context = create_language_context("python")
    
    # Build messages for a new prompt
    messages = client._build_messages(
        prompt="Can you explain list comprehensions?",
        chat_history=chat_history,
        language_context=python_context
    )
    
    print(f"Built {len(messages)} messages for API call:")
    for i, msg in enumerate(messages, 1):
        print(f"  {i}. {msg.role}: {msg.content[:80]}...")
    print()


def example_error_handling(client):
    """Example of error handling"""
    print("=== Error Handling Examples ===\n")
    
    if not client:
        print("Skipping error handling (no client available)")
        return
    
    # Test different error scenarios
    error_scenarios = [
        ("Rate limit error", Exception("Rate limit exceeded (429)")),
        ("Authentication error", Exception("Authentication failed (401)")),
        ("Network error", Exception("Network connection timeout")),
        ("Quota error", Exception("Quota exceeded for billing account")),
        ("Unknown error", Exception("Something unexpected happened"))
    ]
    
    for scenario_name, error in error_scenarios:
        try:
            result = client._handle_api_error(error)
            print(f"{scenario_name}: {result}")
        except Exception as e:
            print(f"{scenario_name}: Raised {type(e).__name__}: {e}")
    print()


def example_streaming_simulation():
    """Example of how streaming would work (simulated)"""
    print("=== Streaming Response Simulation ===\n")
    
    # Simulate streaming response chunks
    simulated_chunks = [
        "List comprehensions ",
        "are a concise way ",
        "to create lists in Python. ",
        "The syntax is: ",
        "[expression for item in iterable if condition]. ",
        "For example: ",
        "squares = [x**2 for x in range(10)]"
    ]
    
    print("Simulated streaming response:")
    full_response = ""
    for chunk in simulated_chunks:
        full_response += chunk
        print(f"Chunk: '{chunk}'")
    
    print(f"\nComplete response: {full_response}")
    print()


def example_language_switching():
    """Example of language context switching"""
    print("=== Language Switching Example ===\n")
    
    # Start with Python
    current_language = "python"
    python_context = create_language_context(current_language)
    print(f"Started with {current_language.upper()}")
    
    # Simulate conversation in Python
    python_history = [
        ChatMessage(role="user", content="How do I create a function in Python?"),
        ChatMessage(role="assistant", content="def my_function(): pass")
    ]
    
    # Switch to JavaScript
    current_language = "javascript"
    js_context = create_language_context(current_language)
    print(f"Switched to {current_language.upper()}")
    
    # Continue conversation in JavaScript context
    # (In real implementation, you'd maintain the history but change the context)
    js_history = python_history + [
        ChatMessage(role="user", content="Now show me the same in JavaScript"),
        ChatMessage(role="assistant", content="function myFunction() { }")
    ]
    
    print(f"Conversation now has {len(js_history)} messages with JavaScript context")
    print()


def main():
    """Main example function"""
    print("🚀 Groq LangChain Integration Service Examples\n")
    
    # Basic usage
    client = example_basic_usage()
    
    # Language contexts
    example_language_contexts()
    
    # Chat history
    chat_history = example_chat_history()
    
    # Message building
    example_message_building(client, chat_history)
    
    # Error handling
    example_error_handling(client)
    
    # Streaming simulation
    example_streaming_simulation()
    
    # Language switching
    example_language_switching()
    
    print("✅ All examples completed!")
    print("\nTo use with real API calls:")
    print("1. Set GROQ_API_KEY environment variable")
    print("2. Call client.generate_response() or client.stream_response()")
    print("3. Handle responses and errors appropriately")


if __name__ == "__main__":
    main()