from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field

from deerflow.config import get_app_config

router = APIRouter(prefix="/api", tags=["models"])


class ModelResponse(BaseModel):
    """Response model for model information."""

    name: str = Field(..., description="Unique identifier for the model")
    model: str = Field(..., description="Actual provider model identifier")
    display_name: str | None = Field(None, description="Human-readable name")
    description: str | None = Field(None, description="Model description")
    supports_thinking: bool = Field(default=False, description="Whether model supports thinking mode")
    supports_reasoning_effort: bool = Field(default=False, description="Whether model supports reasoning effort")


class ModelsListResponse(BaseModel):
    """Response model for listing all models."""

    models: list[ModelResponse]


@router.get(
    "/models",
    response_model=ModelsListResponse,
    summary="List All Models",
    description="Retrieve a list of all available AI models configured in the system.",
)
async def list_models() -> ModelsListResponse:
    """List all available models from configuration.

    Returns model information suitable for frontend display,
    excluding sensitive fields like API keys and internal configuration.

    Returns:
        A list of all configured models with their metadata.

    Example Response:
        ```json
        {
            "models": [
                {
                    "name": "gpt-4",
                    "display_name": "GPT-4",
                    "description": "OpenAI GPT-4 model",
                    "supports_thinking": false
                },
                {
                    "name": "claude-3-opus",
                    "display_name": "Claude 3 Opus",
                    "description": "Anthropic Claude 3 Opus model",
                    "supports_thinking": true
                }
            ]
        }
        ```
    """
    config = get_app_config()
    models = [
        ModelResponse(
            name=model.name,
            model=model.model,
            display_name=model.display_name,
            description=model.description,
            supports_thinking=model.supports_thinking,
            supports_reasoning_effort=model.supports_reasoning_effort,
        )
        for model in config.models
    ]
    return ModelsListResponse(models=models)


@router.get(
    "/models/{model_name}",
    response_model=ModelResponse,
    summary="Get Model Details",
    description="Retrieve detailed information about a specific AI model by its name.",
)
async def get_model(model_name: str) -> ModelResponse:
    """Get a specific model by name.

    Args:
        model_name: The unique name of the model to retrieve.

    Returns:
        Model information if found.

    Raises:
        HTTPException: 404 if model not found.

    Example Response:
        ```json
        {
            "name": "gpt-4",
            "display_name": "GPT-4",
            "description": "OpenAI GPT-4 model",
            "supports_thinking": false
        }
        ```
    """
    config = get_app_config()
    model = config.get_model_config(model_name)
    if model is None:
        raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found")

    return ModelResponse(
        name=model.name,
        model=model.model,
        display_name=model.display_name,
        description=model.description,
        supports_thinking=model.supports_thinking,
        supports_reasoning_effort=model.supports_reasoning_effort,
    )
