from functools import wraps
from typing import TYPE_CHECKING

from sentry_sdk.integrations import DidNotEnable

try:
    from pydantic_ai import models  # type: ignore
except ImportError:
    raise DidNotEnable("pydantic-ai not installed")

from ..spans import ai_client_span, update_ai_client_span


if TYPE_CHECKING:
    from typing import Any


def _patch_model_request() -> None:
    """
    Patches model request execution to create AI client spans.

    In pydantic-ai, model requests are handled through the Model interface.
    We need to patch the request method on models to create spans.
    """

    # Patch the base Model class's request method
    if hasattr(models, "Model"):
        original_request = models.Model.request

        @wraps(original_request)
        async def wrapped_request(
            self: "Any", messages: "Any", *args: "Any", **kwargs: "Any"
        ) -> "Any":
            # Pass all messages (full conversation history)
            with ai_client_span(messages, None, self, None) as span:
                result = await original_request(self, messages, *args, **kwargs)
                update_ai_client_span(span, result)
                return result

        models.Model.request = wrapped_request