"""
Example: Integrating Real API Providers

This example shows how to extend the system with real API providers.
Currently uses mock implementations - replace with actual API calls.
"""

import os
from typing import Any

from cross_model_verification_kernel.models import BaseModelInterface, ModelProvider, ModelResponse


class OpenAIInterface(BaseModelInterface):
    """
    Example OpenAI interface implementation.
    Replace with actual OpenAI API calls.
    """

    def __init__(self, model: ModelProvider, api_key: str):
        super().__init__(model, api_key)
        # In real implementation:
        # import openai
        # self.client = openai.OpenAI(api_key=api_key)

    def generate(self, prompt: str, **_kwargs: Any) -> ModelResponse:
        """Generate using OpenAI API"""
        # In real implementation:
        # response = self.client.chat.completions.create(
        #     model=self.model.value,
        #     messages=[{"role": "user", "content": prompt}],
        #     **_kwargs
        # )
        # content = response.choices[0].message.content
        _ = prompt  # Mark as used - real implementation would use this

        # For now, return mock response
        return ModelResponse(
            content="[Real OpenAI response would go here]",
            model=self.model.value,
            provider=self.model,
            metadata={"api": "openai"},
        )

    def get_model_info(self) -> dict[str, str]:
        return {"model": self.model.value, "provider": "openai", "api": "real"}


class GeminiInterface(BaseModelInterface):
    """
    Example Google Gemini interface implementation.
    Replace with actual Gemini API calls.
    """

    def __init__(self, model: ModelProvider, api_key: str):
        super().__init__(model, api_key)
        # In real implementation:
        # import google.generativeai as genai
        # genai.configure(api_key=api_key)
        # self.model_instance = genai.GenerativeModel(model.value)

    def generate(self, prompt: str, **_kwargs: Any) -> ModelResponse:
        """Generate using Gemini API"""
        # In real implementation:
        # response = self.model_instance.generate_content(prompt)
        # content = response.text
        _ = prompt  # Mark as used - real implementation would use this

        # For now, return mock response
        return ModelResponse(
            content="[Real Gemini response would go here]",
            model=self.model.value,
            provider=self.model,
            metadata={"api": "gemini"},
        )

    def get_model_info(self) -> dict[str, str]:
        return {"model": self.model.value, "provider": "google", "api": "real"}


def main() -> None:
    """
    Example of using real API providers (when implemented).

    To use:
    1. Implement the API calls in OpenAIInterface and GeminiInterface
    2. Set your API keys as environment variables
    3. Pass the custom interfaces to Generator/Verifier
    """

    print("Example: Real API Integration")
    print("=" * 80)
    print("\nNOTE: This example shows the structure for real API integration.")
    print("Replace mock responses with actual API calls to use real models.\n")

    # Get API keys from environment (or your secure key management)
    openai_key = os.environ.get("OPENAI_API_KEY", "your-key-here")
    gemini_key = os.environ.get("GEMINI_API_KEY", "your-key-here")

    # Create custom interfaces
    openai_interface = OpenAIInterface(ModelProvider.GPT4O, openai_key)
    gemini_interface = GeminiInterface(ModelProvider.GEMINI_15_PRO, gemini_key)

    print("Custom interfaces created:")
    print(f"  OpenAI: {openai_interface.get_model_info()}")
    print(f"  Gemini: {gemini_interface.get_model_info()}")

    # Note: To use custom interfaces with the kernel, you would need to:
    # 1. Create Generator with custom interface: Generator(config, openai_interface)
    # 2. Create Verifier with custom interface: Verifier(config, gemini_interface)
    # 3. Create kernel with these custom instances

    print("\nTo enable real API calls:")
    print("1. Uncomment API code in OpenAIInterface and GeminiInterface")
    print("2. Install required packages: pip install openai google-generativeai")
    print("3. Set environment variables: OPENAI_API_KEY, GEMINI_API_KEY")
    print("4. Run this script")


if __name__ == "__main__":
    main()
