# (we don't need to care about this check in this file)
# pyright: reportIncompatibleVariableOverride=false
from __future__ import annotations

from typing import TYPE_CHECKING, List, Union, ClassVar, Optional
from pathlib import Path
from typing_extensions import override

import tomlkit
import pydantic

from ._proxy import LazyProxy
from ._compat import (
    PYDANTIC_V2,
    Field,
    ConfigDict,
    BaseSettings,
    BaseSettingsConfig,
    model_dict,
    model_parse,
)


class DefaultConfig(BaseSettings):
    # CLI version
    # TODO: if this version changes but the engine version
    #       doesn't change then the CLI is incorrectly cached
    prisma_version: str = Field(
        env='PRISMA_VERSION',
        default='5.17.0',
    )

    # Engine binary versions can be found under https://github.com/prisma/prisma-engine/commits/main
    expected_engine_version: str = Field(
        env='PRISMA_EXPECTED_ENGINE_VERSION',
        default='393aa359c9ad4a4bb28630fb5613f9c281cde053',
    )

    # Home directory, used to build the `binary_cache_dir` option by default, useful in multi-user
    # or testing environments so that the binaries can be easily cached without having to worry
    # about versioning them.
    home_dir: Path = Field(
        env='PRISMA_HOME_DIR',
        default=Path.home(),
    )

    # Where to store the downloaded binaries
    binary_cache_dir: Union[Path, None] = Field(
        env='PRISMA_BINARY_CACHE_DIR',
        default=None,
    )

    # Workaround to support setting the binary platform until it can be properly implemented
    binary_platform: Optional[str] = Field(env='PRISMA_BINARY_PLATFORM', default=None)

    # Whether or not to use the global node installation (if available)
    use_global_node: bool = Field(env='PRISMA_USE_GLOBAL_NODE', default=True)

    # Whether or not to use the `nodejs-bin` package (if installed)
    use_nodejs_bin: bool = Field(env='PRISMA_USE_NODEJS_BIN', default=True)

    # Extra arguments to pass to nodeenv, arguments are passed after the path, e.g. python -m nodeenv <path> <extra args>
    nodeenv_extra_args: List[str] = Field(
        env='PRISMA_NODEENV_EXTRA_ARGS',
        default_factory=list,
    )

    # Where to download nodeenv to, defaults to ~/.cache/prisma-python/nodeenv
    nodeenv_cache_dir: Path = Field(
        env='PRISMA_NODEENV_CACHE_DIR',
        default_factory=lambda: Path.home() / '.cache' / 'prisma-python' / 'nodeenv',
    )

    if PYDANTIC_V2:
        model_config: ClassVar[ConfigDict] = ConfigDict(extra='ignore')
    else:
        if not TYPE_CHECKING:

            class Config(BaseSettingsConfig):
                extra: Extra = pydantic.Extra.ignore

                @classmethod
                def customise_sources(cls, init_settings, env_settings, file_secret_settings):
                    # prioritise env settings over init settings
                    return env_settings, init_settings, file_secret_settings


class Config(DefaultConfig):
    binary_cache_dir: Path = Field(env='PRISMA_BINARY_CACHE_DIR')

    @classmethod
    def from_base(cls, config: DefaultConfig) -> Config:
        if config.binary_cache_dir is None:
            config.binary_cache_dir = (
                config.home_dir
                / '.cache'
                / 'prisma-python'
                / 'binaries'
                / config.prisma_version
                / config.expected_engine_version
            )

        return model_parse(cls, model_dict(config))

    @classmethod
    def load(cls, path: Path | None = None) -> Config:
        if path is None:
            path = Path('pyproject.toml')

        if path.exists():
            config = tomlkit.loads(path.read_text()).get('tool', {}).get('prisma', {})
        else:
            config = {}

        return cls.parse(**config)

    @classmethod
    def parse(cls, **kwargs: object) -> Config:
        return cls.from_base(model_parse(DefaultConfig, kwargs))


class LazyConfigProxy(LazyProxy[Config]):
    @override
    def __load__(self) -> Config:
        return Config.load()


config: Config = LazyConfigProxy().__as_proxied__()