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from __future__ import annotations

from os import PathLike

from typing import (

IO,

TYPE_CHECKING,

Any,

Dict,

List,

Type,

Tuple,

Union,

Mapping,

TypeVar,

Callable,

Iterator,

Optional,

Sequence,

)

from typing_extensions import (

Set,

Literal,

Protocol,

TypeAlias,

TypedDict,

SupportsIndex,

overload,

override,

runtime_checkable,

)

import httpx

import pydantic

from httpx import URL, Proxy, Timeout, Response, BaseTransport, AsyncBaseTransport

if TYPE_CHECKING:

from ._models import BaseModel

from ._response import APIResponse, AsyncAPIResponse

Transport = BaseTransport

AsyncTransport = AsyncBaseTransport

Query = Mapping[str, object]

Body = object

AnyMapping = Mapping[str, object]

ModelT = TypeVar("ModelT", bound=pydantic.BaseModel)

_T = TypeVar("_T")

# Approximates httpx internal ProxiesTypes and RequestFiles types

# while adding support for `PathLike` instances

ProxiesDict = Dict["str | URL", Union[None, str, URL, Proxy]]

ProxiesTypes = Union[str, Proxy, ProxiesDict]

if TYPE_CHECKING:

Base64FileInput = Union[IO[bytes], PathLike[str]]

FileContent = Union[IO[bytes], bytes, PathLike[str]]

else:

Base64FileInput = Union[IO[bytes], PathLike]

FileContent = Union[IO[bytes], bytes, PathLike] # PathLike is not subscriptable in Python 3.8.

FileTypes = Union[

# file (or bytes)

FileContent,

# (filename, file (or bytes))

Tuple[Optional[str], FileContent],

# (filename, file (or bytes), content_type)

Tuple[Optional[str], FileContent, Optional[str]],

# (filename, file (or bytes), content_type, headers)

Tuple[Optional[str], FileContent, Optional[str], Mapping[str, str]],

]

RequestFiles = Union[Mapping[str, FileTypes], Sequence[Tuple[str, FileTypes]]]

# duplicate of the above but without our custom file support

HttpxFileContent = Union[IO[bytes], bytes]

HttpxFileTypes = Union[

# file (or bytes)

HttpxFileContent,

# (filename, file (or bytes))

Tuple[Optional[str], HttpxFileContent],

# (filename, file (or bytes), content_type)

Tuple[Optional[str], HttpxFileContent, Optional[str]],

# (filename, file (or bytes), content_type, headers)

Tuple[Optional[str], HttpxFileContent, Optional[str], Mapping[str, str]],

]

HttpxRequestFiles = Union[Mapping[str, HttpxFileTypes], Sequence[Tuple[str, HttpxFileTypes]]]

# Workaround to support (cast_to: Type[ResponseT]) -> ResponseT

# where ResponseT includes `None`. In order to support directly

# passing `None`, overloads would have to be defined for every

# method that uses `ResponseT` which would lead to an unacceptable

# amount of code duplication and make it unreadable. See _base_client.py

# for example usage.

# This unfortunately means that you will either have

# to import this type and pass it explicitly:

# from replicate import NoneType

# client.get('/foo', cast_to=NoneType)

# or build it yourself:

# client.get('/foo', cast_to=type(None))

if TYPE_CHECKING:

NoneType: Type[None]

else:

NoneType = type(None)

class RequestOptions(TypedDict, total=False):

headers: Headers

max_retries: int

timeout: float | Timeout | None

params: Query

extra_json: AnyMapping

idempotency_key: str

follow_redirects: bool

# Sentinel class used until PEP 0661 is accepted

class NotGiven:

"""

For parameters with a meaningful None value, we need to distinguish between

the user explicitly passing None, and the user not passing the parameter at

all.

User code shouldn't need to use not_given directly.

For example:

```py

def create(timeout: Timeout | None | NotGiven = not_given): ...

create(timeout=1) # 1s timeout

create(timeout=None) # No timeout

create() # Default timeout behavior

```

"""

def __bool__(self) -> Literal[False]:

return False

@override

def __repr__(self) -> str:

return "NOT_GIVEN"

not_given = NotGiven()

# for backwards compatibility:

NOT_GIVEN = NotGiven()

class Omit:

"""

To explicitly omit something from being sent in a request, use `omit`.

```py

# as the default `Content-Type` header is `application/json` that will be sent

client.post("/upload/files", files={"file": b"my raw file content"})

# you can't explicitly override the header as it has to be dynamically generated

# to look something like: 'multipart/form-data; boundary=0d8382fcf5f8c3be01ca2e11002d2983'

client.post(..., headers={"Content-Type": "multipart/form-data"})

# instead you can remove the default `application/json` header by passing omit

client.post(..., headers={"Content-Type": omit})

```

"""

def __bool__(self) -> Literal[False]:

return False

omit = Omit()

@runtime_checkable

class ModelBuilderProtocol(Protocol):

@classmethod

def build(

cls: type[_T],

response: Response,

data: object,

) -> _T: ...

Headers = Mapping[str, Union[str, Omit]]

class HeadersLikeProtocol(Protocol):

def get(self, __key: str) -> str | None: ...

HeadersLike = Union[Headers, HeadersLikeProtocol]

ResponseT = TypeVar(

"ResponseT",

bound=Union[

object,

str,

None,

"BaseModel",

List[Any],

Dict[str, Any],

Response,

ModelBuilderProtocol,

"APIResponse[Any]",

"AsyncAPIResponse[Any]",

)

StrBytesIntFloat = Union[str, bytes, int, float]

# Note: copied from Pydantic

# https://github.com/pydantic/pydantic/blob/6f31f8f68ef011f84357330186f603ff295312fd/pydantic/main.py#L79

IncEx: TypeAlias = Union[Set[int], Set[str], Mapping[int, Union["IncEx", bool]], Mapping[str, Union["IncEx", bool]]]

PostParser = Callable[[Any], Any]

@runtime_checkable

class InheritsGeneric(Protocol):

"""Represents a type that has inherited from `Generic`

The `__orig_bases__` property can be used to determine the resolved

type variable for a given base class.

"""

__orig_bases__: tuple[_GenericAlias]

class _GenericAlias(Protocol):

__origin__: type[object]

class HttpxSendArgs(TypedDict, total=False):

auth: httpx.Auth

follow_redirects: bool

_T_co = TypeVar("_T_co", covariant=True)

if TYPE_CHECKING:

# This works because str.__contains__ does not accept object (either in typeshed or at runtime)

# https://github.com/hauntsaninja/useful_types/blob/5e9710f3875107d068e7679fd7fec9cfab0eff3b/useful_types/__init__.py#L285

class SequenceNotStr(Protocol[_T_co]):

@overload

def __getitem__(self, index: SupportsIndex, /) -> _T_co: ...

@overload

def __getitem__(self, index: slice, /) -> Sequence[_T_co]: ...

def __contains__(self, value: object, /) -> bool: ...

def __len__(self) -> int: ...

def __iter__(self) -> Iterator[_T_co]: ...

def index(self, value: Any, start: int = 0, stop: int = ..., /) -> int: ...

def count(self, value: Any, /) -> int: ...

def __reversed__(self) -> Iterator[_T_co]: ...

else:

# just point this to a normal `Sequence` at runtime to avoid having to special case

# deserializing our custom sequence type

SequenceNotStr = Sequence

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