# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.

from __future__ import annotations

from typing import Dict, Optional
from typing_extensions import Literal

import httpx

from ..types import batch_create_params
from .._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
from .._utils import path_template, maybe_transform, async_maybe_transform
from .._compat import cached_property
from .._resource import SyncAPIResource, AsyncAPIResource
from .._response import (
    to_raw_response_wrapper,
    to_streamed_response_wrapper,
    async_to_raw_response_wrapper,
    async_to_streamed_response_wrapper,
)
from .._base_client import make_request_options
from ..types.batch_list_response import BatchListResponse
from ..types.batch_cancel_response import BatchCancelResponse
from ..types.batch_create_response import BatchCreateResponse
from ..types.batch_retrieve_response import BatchRetrieveResponse

__all__ = ["Batches", "AsyncBatches"]


class Batches(SyncAPIResource):
    @cached_property
    def with_raw_response(self) -> BatchesWithRawResponse:
        """
        This property can be used as a prefix for any HTTP method call to return
        the raw response object instead of the parsed content.

        For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
        """
        return BatchesWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> BatchesWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/groq/groq-python#with_streaming_response
        """
        return BatchesWithStreamingResponse(self)

    def create(
        self,
        *,
        completion_window: str,
        endpoint: Literal["/v1/chat/completions"],
        input_file_id: str,
        metadata: Optional[Dict[str, str]] | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchCreateResponse:
        """
        Creates and executes a batch from an uploaded file of requests.
        [Learn more](/docs/batch).

        Args:
          completion_window: The time frame within which the batch should be processed. Durations from `24h`
              to `7d` are supported.

          endpoint: The endpoint to be used for all requests in the batch. Currently
              `/v1/chat/completions` is supported.

          input_file_id: The ID of an uploaded file that contains requests for the new batch.

              See [upload file](/docs/api-reference#files-upload) for how to upload a file.

              Your input file must be formatted as a [JSONL file](/docs/batch), and must be
              uploaded with the purpose `batch`. The file can be up to 100 MB in size.

          metadata: Optional custom metadata for the batch.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        return self._post(
            "/openai/v1/batches",
            body=maybe_transform(
                {
                    "completion_window": completion_window,
                    "endpoint": endpoint,
                    "input_file_id": input_file_id,
                    "metadata": metadata,
                },
                batch_create_params.BatchCreateParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchCreateResponse,
        )

    def retrieve(
        self,
        batch_id: str,
        *,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchRetrieveResponse:
        """
        Retrieves a batch.

        Args:
          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        if not batch_id:
            raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
        return self._get(
            path_template("/openai/v1/batches/{batch_id}", batch_id=batch_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchRetrieveResponse,
        )

    def list(
        self,
        *,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchListResponse:
        """List your organization's batches."""
        return self._get(
            "/openai/v1/batches",
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchListResponse,
        )

    def cancel(
        self,
        batch_id: str,
        *,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchCancelResponse:
        """
        Cancels a batch.

        Args:
          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        if not batch_id:
            raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
        return self._post(
            path_template("/openai/v1/batches/{batch_id}/cancel", batch_id=batch_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchCancelResponse,
        )


class AsyncBatches(AsyncAPIResource):
    @cached_property
    def with_raw_response(self) -> AsyncBatchesWithRawResponse:
        """
        This property can be used as a prefix for any HTTP method call to return
        the raw response object instead of the parsed content.

        For more information, see https://www.github.com/groq/groq-python#accessing-raw-response-data-eg-headers
        """
        return AsyncBatchesWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> AsyncBatchesWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/groq/groq-python#with_streaming_response
        """
        return AsyncBatchesWithStreamingResponse(self)

    async def create(
        self,
        *,
        completion_window: str,
        endpoint: Literal["/v1/chat/completions"],
        input_file_id: str,
        metadata: Optional[Dict[str, str]] | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchCreateResponse:
        """
        Creates and executes a batch from an uploaded file of requests.
        [Learn more](/docs/batch).

        Args:
          completion_window: The time frame within which the batch should be processed. Durations from `24h`
              to `7d` are supported.

          endpoint: The endpoint to be used for all requests in the batch. Currently
              `/v1/chat/completions` is supported.

          input_file_id: The ID of an uploaded file that contains requests for the new batch.

              See [upload file](/docs/api-reference#files-upload) for how to upload a file.

              Your input file must be formatted as a [JSONL file](/docs/batch), and must be
              uploaded with the purpose `batch`. The file can be up to 100 MB in size.

          metadata: Optional custom metadata for the batch.

          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        return await self._post(
            "/openai/v1/batches",
            body=await async_maybe_transform(
                {
                    "completion_window": completion_window,
                    "endpoint": endpoint,
                    "input_file_id": input_file_id,
                    "metadata": metadata,
                },
                batch_create_params.BatchCreateParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchCreateResponse,
        )

    async def retrieve(
        self,
        batch_id: str,
        *,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchRetrieveResponse:
        """
        Retrieves a batch.

        Args:
          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        if not batch_id:
            raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
        return await self._get(
            path_template("/openai/v1/batches/{batch_id}", batch_id=batch_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchRetrieveResponse,
        )

    async def list(
        self,
        *,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchListResponse:
        """List your organization's batches."""
        return await self._get(
            "/openai/v1/batches",
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchListResponse,
        )

    async def cancel(
        self,
        batch_id: str,
        *,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> BatchCancelResponse:
        """
        Cancels a batch.

        Args:
          extra_headers: Send extra headers

          extra_query: Add additional query parameters to the request

          extra_body: Add additional JSON properties to the request

          timeout: Override the client-level default timeout for this request, in seconds
        """
        if not batch_id:
            raise ValueError(f"Expected a non-empty value for `batch_id` but received {batch_id!r}")
        return await self._post(
            path_template("/openai/v1/batches/{batch_id}/cancel", batch_id=batch_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=BatchCancelResponse,
        )


class BatchesWithRawResponse:
    def __init__(self, batches: Batches) -> None:
        self._batches = batches

        self.create = to_raw_response_wrapper(
            batches.create,
        )
        self.retrieve = to_raw_response_wrapper(
            batches.retrieve,
        )
        self.list = to_raw_response_wrapper(
            batches.list,
        )
        self.cancel = to_raw_response_wrapper(
            batches.cancel,
        )


class AsyncBatchesWithRawResponse:
    def __init__(self, batches: AsyncBatches) -> None:
        self._batches = batches

        self.create = async_to_raw_response_wrapper(
            batches.create,
        )
        self.retrieve = async_to_raw_response_wrapper(
            batches.retrieve,
        )
        self.list = async_to_raw_response_wrapper(
            batches.list,
        )
        self.cancel = async_to_raw_response_wrapper(
            batches.cancel,
        )


class BatchesWithStreamingResponse:
    def __init__(self, batches: Batches) -> None:
        self._batches = batches

        self.create = to_streamed_response_wrapper(
            batches.create,
        )
        self.retrieve = to_streamed_response_wrapper(
            batches.retrieve,
        )
        self.list = to_streamed_response_wrapper(
            batches.list,
        )
        self.cancel = to_streamed_response_wrapper(
            batches.cancel,
        )


class AsyncBatchesWithStreamingResponse:
    def __init__(self, batches: AsyncBatches) -> None:
        self._batches = batches

        self.create = async_to_streamed_response_wrapper(
            batches.create,
        )
        self.retrieve = async_to_streamed_response_wrapper(
            batches.retrieve,
        )
        self.list = async_to_streamed_response_wrapper(
            batches.list,
        )
        self.cancel = async_to_streamed_response_wrapper(
            batches.cancel,
        )
