"""AI tools for generating text, chat responses, and images."""

from typing import Any, Dict, List, Optional

from ..core.tool import tool
from ..integrations.ai import OpenAIProvider, HuggingFaceProvider, AnthropicProvider


@tool(
    name="generate_text",
    description="Generate text using AI models from various providers",
    group="ai"
)
async def generate_text(
    prompt: str,
    provider: str = "openai",
    model: Optional[str] = None,
    max_tokens: int = 500,
    temperature: float = 0.7,
    api_key: Optional[str] = None,
    **kwargs
) -> Dict[str, Any]:
    """Generate text using an AI model.
    
    Args:
        prompt: Text prompt to generate from
        provider: AI provider to use (openai, huggingface, anthropic)
        model: Model to use (defaults to provider's default)
        max_tokens: Maximum number of tokens to generate
        temperature: Temperature for generation (higher = more random)
        api_key: API key for the provider (optional)
        **kwargs: Additional provider-specific parameters
        
    Returns:
        Dict containing the generated text and metadata
    """
    # Set provider-specific defaults
    if provider == "openai":
        model = model or "gpt-3.5-turbo-instruct"
        ai_provider = OpenAIProvider(api_key=api_key)
    elif provider == "huggingface":
        model = model or "google/flan-t5-xl"
        ai_provider = HuggingFaceProvider(api_key=api_key)
    elif provider == "anthropic":
        model = model or "claude-2"
        ai_provider = AnthropicProvider(api_key=api_key)
    else:
        raise ValueError(f"Unsupported provider: {provider}")
        
    # TODO: Implement text generation
    # This is just a skeleton, actual implementation would handle the provider's API
    
    # Placeholder response
    return {
        "text": "This is placeholder text. Implementation coming soon!",
        "provider": provider,
        "model": model,
    }


@tool(
    name="generate_chat_response",
    description="Generate a chat response using AI models from various providers",
    group="ai"
)
async def generate_chat_response(
    messages: List[Dict[str, str]],
    provider: str = "openai",
    model: Optional[str] = None,
    max_tokens: int = 500,
    temperature: float = 0.7,
    api_key: Optional[str] = None,
    **kwargs
) -> Dict[str, Any]:
    """Generate a chat response using an AI model.
    
    Args:
        messages: List of message objects with role and content
        provider: AI provider to use (openai, anthropic)
        model: Model to use (defaults to provider's default)
        max_tokens: Maximum number of tokens to generate
        temperature: Temperature for generation (higher = more random)
        api_key: API key for the provider (optional)
        **kwargs: Additional provider-specific parameters
        
    Returns:
        Dict containing the response and metadata
    """
    # Set provider-specific defaults
    if provider == "openai":
        model = model or "gpt-3.5-turbo"
        ai_provider = OpenAIProvider(api_key=api_key)
    elif provider == "anthropic":
        model = model or "claude-2"
        ai_provider = AnthropicProvider(api_key=api_key)
    else:
        raise ValueError(f"Unsupported provider for chat: {provider}")
        
    # TODO: Implement chat response generation
    # This is just a skeleton, actual implementation would handle the provider's API
    
    # Placeholder response
    return {
        "message": {
            "role": "assistant",
            "content": "This is a placeholder chat response. Implementation coming soon!"
        },
        "provider": provider,
        "model": model,
    }
    

@tool(
    name="generate_image",
    description="Generate an image using AI models",
    group="ai"
)
async def generate_image(
    prompt: str,
    provider: str = "openai",
    size: str = "1024x1024",
    api_key: Optional[str] = None,
    **kwargs
) -> Dict[str, Any]:
    """Generate an image using AI.
    
    Args:
        prompt: Text description for the image
        provider: AI provider to use (openai, stability)
        size: Image size (e.g., 1024x1024)
        api_key: API key for the provider (optional)
        **kwargs: Additional provider-specific parameters
        
    Returns:
        Dict containing image information (URLs, etc.)
    """
    # Set provider-specific defaults
    if provider == "openai":
        ai_provider = OpenAIProvider(api_key=api_key)
    else:
        raise ValueError(f"Unsupported provider for image generation: {provider}")
        
    # TODO: Implement image generation
    # This is just a skeleton, actual implementation would handle the provider's API
    
    # Placeholder response
    return {
        "prompt": prompt,
        "url": "https://example.com/placeholder-image.png",
        "provider": provider,
    } 