from __future__ import annotations

import io
import os
import inspect
import traceback
import contextlib
from typing import Any, TypeVar, Iterator, ForwardRef, cast
from datetime import date, datetime
from typing_extensions import Literal, get_args, get_origin, assert_type

import rich

from openai._types import Omit, NoneType
from openai._utils import (
    is_dict,
    is_list,
    is_list_type,
    is_union_type,
    extract_type_arg,
    is_annotated_type,
    is_type_alias_type,
)
from openai._compat import PYDANTIC_V2, field_outer_type, get_model_fields
from openai._models import BaseModel

BaseModelT = TypeVar("BaseModelT", bound=BaseModel)


def evaluate_forwardref(forwardref: ForwardRef, globalns: dict[str, Any]) -> type:
    return eval(str(forwardref), globalns)  # type: ignore[no-any-return]


def assert_matches_model(model: type[BaseModelT], value: BaseModelT, *, path: list[str]) -> bool:
    for name, field in get_model_fields(model).items():
        field_value = getattr(value, name)
        if PYDANTIC_V2:
            allow_none = False
        else:
            # in v1 nullability was structured differently
            # https://docs.pydantic.dev/2.0/migration/#required-optional-and-nullable-fields
            allow_none = getattr(field, "allow_none", False)

        assert_matches_type(
            field_outer_type(field),
            field_value,
            path=[*path, name],
            allow_none=allow_none,
        )

    return True


# Note: the `path` argument is only used to improve error messages when `--showlocals` is used
def assert_matches_type(
    type_: Any,
    value: object,
    *,
    path: list[str],
    allow_none: bool = False,
) -> None:
    if is_type_alias_type(type_):
        type_ = type_.__value__

    # unwrap `Annotated[T, ...]` -> `T`
    if is_annotated_type(type_):
        type_ = extract_type_arg(type_, 0)

    if allow_none and value is None:
        return

    if type_ is None or type_ is NoneType:
        assert value is None
        return

    origin = get_origin(type_) or type_

    if is_list_type(type_):
        return _assert_list_type(type_, value)

    if origin == str:
        assert isinstance(value, str)
    elif origin == int:
        assert isinstance(value, int)
    elif origin == bool:
        assert isinstance(value, bool)
    elif origin == float:
        assert isinstance(value, float)
    elif origin == bytes:
        assert isinstance(value, bytes)
    elif origin == datetime:
        assert isinstance(value, datetime)
    elif origin == date:
        assert isinstance(value, date)
    elif origin == object:
        # nothing to do here, the expected type is unknown
        pass
    elif origin == Literal:
        assert value in get_args(type_)
    elif origin == dict:
        assert is_dict(value)

        args = get_args(type_)
        key_type = args[0]
        items_type = args[1]

        for key, item in value.items():
            assert_matches_type(key_type, key, path=[*path, "<dict key>"])
            assert_matches_type(items_type, item, path=[*path, "<dict item>"])
    elif is_union_type(type_):
        variants = get_args(type_)

        try:
            none_index = variants.index(type(None))
        except ValueError:
            pass
        else:
            # special case Optional[T] for better error messages
            if len(variants) == 2:
                if value is None:
                    # valid
                    return

                return assert_matches_type(type_=variants[not none_index], value=value, path=path)

        for i, variant in enumerate(variants):
            try:
                assert_matches_type(variant, value, path=[*path, f"variant {i}"])
                return
            except AssertionError:
                traceback.print_exc()
                continue

        raise AssertionError("Did not match any variants")
    elif issubclass(origin, BaseModel):
        assert isinstance(value, type_)
        assert assert_matches_model(type_, cast(Any, value), path=path)
    elif inspect.isclass(origin) and origin.__name__ == "HttpxBinaryResponseContent":
        assert value.__class__.__name__ == "HttpxBinaryResponseContent"
    else:
        assert None, f"Unhandled field type: {type_}"


def _assert_list_type(type_: type[object], value: object) -> None:
    assert is_list(value)

    inner_type = get_args(type_)[0]
    for entry in value:
        assert_type(inner_type, entry)  # type: ignore


def rich_print_str(obj: object) -> str:
    """Like `rich.print()` but returns the string instead"""
    buf = io.StringIO()

    console = rich.console.Console(file=buf, width=120)
    console.print(obj)

    return buf.getvalue()


@contextlib.contextmanager
def update_env(**new_env: str | Omit) -> Iterator[None]:
    old = os.environ.copy()

    try:
        for name, value in new_env.items():
            if isinstance(value, Omit):
                os.environ.pop(name, None)
            else:
                os.environ[name] = value

        yield None
    finally:
        os.environ.clear()
        os.environ.update(old)