"""
API Client for Smart Auto-Complete
Handles communication with OpenAI and Anthropic APIs
"""

import logging
import time
from typing import Dict, List, Optional, Union

import anthropic
import openai

from .utils import validate_api_key

logger = logging.getLogger(__name__)


class APIClient:
    """
    Unified API client for multiple AI providers
    Supports OpenAI GPT and Anthropic Claude models
    """

    def __init__(self, settings=None):
        """
        Initialize the API client with settings

        Args:
            settings: Application settings object
        """
        self.settings = settings
        self.openai_client = None
        self.anthropic_client = None
        self.current_provider = None
        self.request_count = 0
        self.last_request_time = 0

        self._initialize_clients()

    def _get_token_param_name(self, model: str) -> str:
        """
        Get the correct token parameter name based on the model

        Args:
            model: The model name

        Returns:
            The correct parameter name ('max_tokens' or 'max_completion_tokens')
        """
        # o3 models and newer reasoning models use max_completion_tokens
        if model.startswith(("o3", "o1")):
            return "max_completion_tokens"
        # All other models use max_tokens
        return "max_tokens"

    def _initialize_clients(self):
        """Initialize API clients based on available keys"""
        try:
            # Initialize OpenAI client
            if (
                self.settings
                and hasattr(self.settings, "OPENAI_API_KEY")
                and self.settings.OPENAI_API_KEY
                and validate_api_key(self.settings.OPENAI_API_KEY, "openai")
            ):
                self.openai_client = openai.OpenAI(api_key=self.settings.OPENAI_API_KEY)
                logger.info("OpenAI client initialized successfully")

            # Initialize Anthropic client
            if (
                self.settings
                and hasattr(self.settings, "ANTHROPIC_API_KEY")
                and self.settings.ANTHROPIC_API_KEY
                and validate_api_key(self.settings.ANTHROPIC_API_KEY, "anthropic")
            ):
                self.anthropic_client = anthropic.Anthropic(
                    api_key=self.settings.ANTHROPIC_API_KEY
                )
                logger.info("Anthropic client initialized successfully")

            # Set default provider
            if hasattr(self.settings, "DEFAULT_PROVIDER"):
                self.current_provider = self.settings.DEFAULT_PROVIDER
            elif self.openai_client:
                self.current_provider = "openai"
            elif self.anthropic_client:
                self.current_provider = "anthropic"
            else:
                logger.warning("No valid API clients initialized")

        except Exception as e:
            logger.error(f"Error initializing API clients: {str(e)}")

    def get_completion(
        self,
        messages: List[Dict[str, str]],
        temperature: float = 0.7,
        max_tokens: int = 150,
        provider: Optional[str] = None,
    ) -> Optional[str]:
        """
        Get a completion from the specified provider

        Args:
            messages: List of message dictionaries with 'role' and 'content'
            temperature: Sampling temperature (0.0 to 1.0)
            max_tokens: Maximum tokens in response
            provider: Specific provider to use ('openai' or 'anthropic')

        Returns:
            Generated completion text or None if failed
        """
        try:
            # Rate limiting check
            if not self._check_rate_limit():
                logger.warning("Rate limit exceeded, skipping request")
                return None

            # Determine which provider to use
            use_provider = provider or self.current_provider

            if use_provider == "openai" and self.openai_client:
                return self._get_openai_completion(messages, temperature, max_tokens)
            elif use_provider == "anthropic" and self.anthropic_client:
                return self._get_anthropic_completion(messages, temperature, max_tokens)
            else:
                # Fallback to any available provider
                if self.openai_client:
                    return self._get_openai_completion(
                        messages, temperature, max_tokens
                    )
                elif self.anthropic_client:
                    return self._get_anthropic_completion(
                        messages, temperature, max_tokens
                    )
                else:
                    logger.error("No API clients available")
                    return None

        except Exception as e:
            logger.error(f"Error getting completion: {str(e)}")
            return None

    def _get_openai_completion(
        self, messages: List[Dict[str, str]], temperature: float, max_tokens: int
    ) -> Optional[str]:
        """Get completion from OpenAI API"""
        try:
            # Get model from settings
            model = (
                self.settings.get_model_for_provider("openai")
                if self.settings
                else "gpt-4o-mini"
            )

            logger.debug(f"Using OpenAI model: {model}")

            # Get the correct token parameter name for this model
            token_param = self._get_token_param_name(model)
            logger.debug(f"Using token parameter: {token_param} = {max_tokens}")

            # Build the request parameters
            request_params = {
                "model": model,
                "messages": messages,
                token_param: max_tokens,  # Use the correct parameter name
                "n": 1,
                "stop": None,
            }

            # Only add temperature for non-reasoning models
            # o3 and o1 models use default temperature (1.0) and don't accept custom values
            if not model.startswith(("o3", "o1")):
                request_params["temperature"] = temperature
                logger.debug(f"Using custom temperature: {temperature}")
            else:
                logger.debug(f"Using default temperature for reasoning model {model}")

            # Only add presence_penalty and frequency_penalty for non-reasoning models
            # o3 and o1 models don't support these parameters
            if not model.startswith(("o3", "o1")):
                request_params["presence_penalty"] = 0.1
                request_params["frequency_penalty"] = 0.1

            response = self.openai_client.chat.completions.create(**request_params)

            self._update_request_stats()

            if response.choices and len(response.choices) > 0:
                return response.choices[0].message.content.strip()
            else:
                logger.warning("No choices returned from OpenAI API")
                return None

        except openai.RateLimitError:
            logger.warning("OpenAI rate limit exceeded")
            return None
        except openai.APIError as e:
            logger.error(f"OpenAI API error: {str(e)}")
            return None
        except Exception as e:
            logger.error(f"Unexpected error with OpenAI: {str(e)}")
            return None

    def _get_anthropic_completion(
        self, messages: List[Dict[str, str]], temperature: float, max_tokens: int
    ) -> Optional[str]:
        """Get completion from Anthropic API"""
        try:
            # Convert messages format for Anthropic
            system_message = ""
            user_messages = []

            for msg in messages:
                if msg["role"] == "system":
                    system_message = msg["content"]
                else:
                    user_messages.append(msg)

            # Get model from settings
            model = (
                self.settings.get_model_for_provider("anthropic")
                if self.settings
                else "claude-3-haiku-20240307"
            )

            logger.debug(f"Using Anthropic model: {model}")

            # Create the completion request
            response = self.anthropic_client.messages.create(
                model=model,
                max_tokens=max_tokens,
                temperature=temperature,
                system=system_message,
                messages=user_messages,
            )

            self._update_request_stats()

            if response.content and len(response.content) > 0:
                return response.content[0].text.strip()
            else:
                logger.warning("No content returned from Anthropic API")
                return None

        except anthropic.RateLimitError:
            logger.warning("Anthropic rate limit exceeded")
            return None
        except anthropic.APIError as e:
            logger.error(f"Anthropic API error: {str(e)}")
            return None
        except Exception as e:
            logger.error(f"Unexpected error with Anthropic: {str(e)}")
            return None

    def _check_rate_limit(self) -> bool:
        """
        Check if we're within rate limits
        Simple implementation - can be enhanced with more sophisticated logic
        """
        current_time = time.time()

        # Allow max 60 requests per minute (1 per second)
        if current_time - self.last_request_time < 1.0:
            return False

        return True

    def _update_request_stats(self):
        """Update request statistics"""
        self.request_count += 1
        self.last_request_time = time.time()

    def get_available_providers(self) -> List[str]:
        """Get list of available providers"""
        providers = []
        if self.openai_client:
            providers.append("openai")
        if self.anthropic_client:
            providers.append("anthropic")
        return providers

    def switch_provider(self, provider: str) -> bool:
        """
        Switch to a different provider

        Args:
            provider: Provider name ('openai' or 'anthropic')

        Returns:
            True if switch was successful, False otherwise
        """
        if provider == "openai" and self.openai_client:
            self.current_provider = "openai"
            logger.info("Switched to OpenAI provider")
            return True
        elif provider == "anthropic" and self.anthropic_client:
            self.current_provider = "anthropic"
            logger.info("Switched to Anthropic provider")
            return True
        else:
            logger.warning(f"Cannot switch to provider: {provider}")
            return False

    def get_stats(self) -> Dict[str, Union[int, float, str]]:
        """Get API usage statistics"""
        return {
            "request_count": self.request_count,
            "current_provider": self.current_provider,
            "available_providers": self.get_available_providers(),
            "last_request_time": self.last_request_time,
        }

    def test_connection(self, provider: Optional[str] = None) -> bool:
        """
        Test connection to the API provider

        Args:
            provider: Specific provider to test, or None for current provider

        Returns:
            True if connection is successful, False otherwise
        """
        try:
            test_messages = [
                {"role": "system", "content": "You are a helpful assistant."},
                {"role": "user", "content": "Say 'Hello' in one word."},
            ]

            result = self.get_completion(
                messages=test_messages,
                temperature=0.1,
                max_tokens=10,
                provider=provider,
            )

            return result is not None and len(result.strip()) > 0

        except Exception as e:
            logger.error(f"Connection test failed: {str(e)}")
            return False