# Copyright (c) [2025] [OpenAI]
# Copyright (c) [2025] [ByteDance Ltd. and/or its affiliates.]
# SPDX-License-Identifier: Apache-2.0
#
# This file has been modified by [ByteDance Ltd. and/or its affiliates.] on 2025.7
#
# Original file was released under Apache License Version 2.0, with the full license text
# available at https://github.com/openai/openai-python/blob/main/LICENSE.
#
# This modified file is released under the same license.

from __future__ import annotations

from typing import (
    Dict,
    List,
    Union,
    Iterable,
    Optional,
)

import httpx
from typing_extensions import Literal

from ..._types import Body, Query, Headers
from ..._utils._utils import with_sts_token, async_with_sts_token
from ..encryption import with_e2e_encryption, async_with_e2e_encryption
from ..._base_client import make_request_options
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._compat import cached_property
from ...types.shared.reasoning_effort import ReasoningEffort
from ..._response import (
    to_raw_response_wrapper,
    async_to_raw_response_wrapper,
    to_streamed_response_wrapper,
    async_to_streamed_response_wrapper,
)
from ..._streaming import Stream, AsyncStream
from ...types.chat import (
    ChatCompletion,
    ChatCompletionChunk,
    ChatCompletionMessageParam,
    completion_create_params,
    ChatCompletionStreamOptionsParam,
    ChatCompletionToolParam,
    ChatCompletionToolChoiceOptionParam,
)

__all__ = ["Completions", "AsyncCompletions"]


class Completions(SyncAPIResource):
    @cached_property
    def with_raw_response(self) -> CompletionsWithRawResponse:
        return CompletionsWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> CompletionsWithStreamingResponse:
        return CompletionsWithStreamingResponse(self)

    @with_sts_token
    @with_e2e_encryption
    def create(
        self,
        *,
        messages: Iterable[ChatCompletionMessageParam],
        model: str,
        frequency_penalty: Optional[float] | None = None,
        function_call: completion_create_params.FunctionCall | None = None,
        logit_bias: Optional[Dict[str, int]] | None = None,
        logprobs: Optional[bool] | None = None,
        max_tokens: Optional[int] | None = None,
        presence_penalty: Optional[float] | None = None,
        stop: Union[Optional[str], List[str]] | None = None,
        stream: Optional[Literal[False]] | Literal[True] | None = None,
        stream_options: Optional[ChatCompletionStreamOptionsParam] | None = None,
        temperature: Optional[float] | None = None,
        tools: Iterable[ChatCompletionToolParam] | None = None,
        top_logprobs: Optional[int] | None = None,
        top_p: Optional[float] | None = None,
        repetition_penalty: Optional[float] | None = None,
        n: Optional[int] | None = None,
        parallel_tool_calls: Optional[bool] | None = None,
        service_tier: Optional[Literal["auto", "default"]] | None = None,
        tool_choice: ChatCompletionToolChoiceOptionParam | None = None,
        response_format: completion_create_params.ResponseFormat | None = None,
        thinking: completion_create_params.Thinking | None = None,
        max_completion_tokens: Optional[int] | None = None,
        reasoning_effort: Optional[ReasoningEffort] | None = None,
        user: str | None = None,
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None = None,
    ) -> ChatCompletion | Stream[ChatCompletionChunk]:
        resp = self._post(
            "/chat/completions",
            body={
                "messages": messages,
                "model": model,
                "frequency_penalty": frequency_penalty,
                "function_call": function_call,
                "logit_bias": logit_bias,
                "logprobs": logprobs,
                "max_tokens": max_tokens,
                "presence_penalty": presence_penalty,
                "stop": stop,
                "stream": stream,
                "stream_options": stream_options,
                "temperature": temperature,
                "tools": tools,
                "top_logprobs": top_logprobs,
                "top_p": top_p,
                "user": user,
                "repetition_penalty": repetition_penalty,
                "n": n,
                "parallel_tool_calls": parallel_tool_calls,
                "service_tier": service_tier,
                "tool_choice": tool_choice,
                "response_format": response_format,
                "thinking": thinking,
                "max_completion_tokens": max_completion_tokens,
                "reasoning_effort": reasoning_effort,
            },
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
            ),
            cast_to=ChatCompletion,
            stream=stream or False,
            stream_cls=Stream[ChatCompletionChunk],
        )
        return resp


class AsyncCompletions(AsyncAPIResource):
    @cached_property
    def with_raw_response(self) -> AsyncCompletionsWithRawResponse:
        return AsyncCompletionsWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> AsyncCompletionsWithStreamingResponse:
        return AsyncCompletionsWithStreamingResponse(self)

    @async_with_sts_token
    @async_with_e2e_encryption
    async def create(
        self,
        *,
        messages: Iterable[ChatCompletionMessageParam],
        model: str,
        frequency_penalty: Optional[float] | None = None,
        function_call: completion_create_params.FunctionCall | None = None,
        logit_bias: Optional[Dict[str, int]] | None = None,
        logprobs: Optional[bool] | None = None,
        max_tokens: Optional[int] | None = None,
        presence_penalty: Optional[float] | None = None,
        stop: Union[Optional[str], List[str]] | None = None,
        stream: Optional[Literal[False]] | Literal[True] | None = None,
        stream_options: Optional[ChatCompletionStreamOptionsParam] | None = None,
        temperature: Optional[float] | None = None,
        tools: Iterable[ChatCompletionToolParam] | None = None,
        top_logprobs: Optional[int] | None = None,
        top_p: Optional[float] | None = None,
        user: str | None = None,
        repetition_penalty: Optional[float] | None = None,
        n: Optional[int] | None = None,
        parallel_tool_calls: Optional[bool] | None = None,
        service_tier: Optional[Literal["auto", "default"]] | None = None,
        tool_choice: ChatCompletionToolChoiceOptionParam | None = None,
        response_format: completion_create_params.ResponseFormat | None = None,
        thinking: completion_create_params.Thinking | None = None,
        max_completion_tokens: Optional[int] | None = None,
        reasoning_effort: Optional[ReasoningEffort] | None = None,
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None = None,
    ) -> ChatCompletion | AsyncStream[ChatCompletionChunk]:
        resp = await self._post(
            "/chat/completions",
            body={
                "messages": messages,
                "model": model,
                "frequency_penalty": frequency_penalty,
                "function_call": function_call,
                "logit_bias": logit_bias,
                "logprobs": logprobs,
                "max_tokens": max_tokens,
                "presence_penalty": presence_penalty,
                "stop": stop,
                "stream": stream,
                "stream_options": stream_options,
                "temperature": temperature,
                "tools": tools,
                "top_logprobs": top_logprobs,
                "top_p": top_p,
                "user": user,
                "repetition_penalty": repetition_penalty,
                "n": n,
                "parallel_tool_calls": parallel_tool_calls,
                "service_tier": service_tier,
                "tool_choice": tool_choice,
                "response_format": response_format,
                "thinking": thinking,
                "max_completion_tokens": max_completion_tokens,
                "reasoning_effort": reasoning_effort,
            },
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
            ),
            cast_to=ChatCompletion,
            stream=stream or False,
            stream_cls=AsyncStream[ChatCompletionChunk],
        )

        return resp


class CompletionsWithRawResponse:
    def __init__(self, completions: Completions) -> None:
        self._completions = completions

        self.create = to_raw_response_wrapper(
            completions.create,
        )


class AsyncCompletionsWithRawResponse:
    def __init__(self, completions: AsyncCompletions) -> None:
        self._completions = completions

        self.create = async_to_raw_response_wrapper(
            completions.create,
        )


class CompletionsWithStreamingResponse:
    def __init__(self, completions: Completions) -> None:
        self._completions = completions

        self.create = to_streamed_response_wrapper(
            completions.create,
        )


class AsyncCompletionsWithStreamingResponse:
    def __init__(self, completions: AsyncCompletions) -> None:
        self._completions = completions

        self.create = async_to_streamed_response_wrapper(
            completions.create,
        )