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

from __future__ import annotations

from typing import Iterable, Optional
from typing_extensions import Literal

import httpx

from ... import _legacy_response
from ...types import eval_list_params, eval_create_params, eval_update_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 .runs.runs import (
    Runs,
    AsyncRuns,
    RunsWithRawResponse,
    AsyncRunsWithRawResponse,
    RunsWithStreamingResponse,
    AsyncRunsWithStreamingResponse,
)
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
from ...pagination import SyncCursorPage, AsyncCursorPage
from ..._base_client import AsyncPaginator, make_request_options
from ...types.eval_list_response import EvalListResponse
from ...types.eval_create_response import EvalCreateResponse
from ...types.eval_delete_response import EvalDeleteResponse
from ...types.eval_update_response import EvalUpdateResponse
from ...types.eval_retrieve_response import EvalRetrieveResponse
from ...types.shared_params.metadata import Metadata

__all__ = ["Evals", "AsyncEvals"]


class Evals(SyncAPIResource):
    """Manage and run evals in the OpenAI platform."""

    @cached_property
    def runs(self) -> Runs:
        """Manage and run evals in the OpenAI platform."""
        return Runs(self._client)

    @cached_property
    def with_raw_response(self) -> EvalsWithRawResponse:
        """
        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/openai/openai-python#accessing-raw-response-data-eg-headers
        """
        return EvalsWithRawResponse(self)

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

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

    def create(
        self,
        *,
        data_source_config: eval_create_params.DataSourceConfig,
        testing_criteria: Iterable[eval_create_params.TestingCriterion],
        metadata: Optional[Metadata] | Omit = omit,
        name: 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,
    ) -> EvalCreateResponse:
        """
        Create the structure of an evaluation that can be used to test a model's
        performance. An evaluation is a set of testing criteria and the config for a
        data source, which dictates the schema of the data used in the evaluation. After
        creating an evaluation, you can run it on different models and model parameters.
        We support several types of graders and datasources. For more information, see
        the [Evals guide](https://platform.openai.com/docs/guides/evals).

        Args:
          data_source_config: The configuration for the data source used for the evaluation runs. Dictates the
              schema of the data used in the evaluation.

          testing_criteria: A list of graders for all eval runs in this group. Graders can reference
              variables in the data source using double curly braces notation, like
              `{{item.variable_name}}`. To reference the model's output, use the `sample`
              namespace (ie, `{{sample.output_text}}`).

          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
              for storing additional information about the object in a structured format, and
              querying for objects via API or the dashboard.

              Keys are strings with a maximum length of 64 characters. Values are strings with
              a maximum length of 512 characters.

          name: The name of the evaluation.

          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(
            "/evals",
            body=maybe_transform(
                {
                    "data_source_config": data_source_config,
                    "testing_criteria": testing_criteria,
                    "metadata": metadata,
                    "name": name,
                },
                eval_create_params.EvalCreateParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalCreateResponse,
        )

    def retrieve(
        self,
        eval_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,
    ) -> EvalRetrieveResponse:
        """
        Get an evaluation by ID.

        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 eval_id:
            raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
        return self._get(
            path_template("/evals/{eval_id}", eval_id=eval_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalRetrieveResponse,
        )

    def update(
        self,
        eval_id: str,
        *,
        metadata: Optional[Metadata] | Omit = omit,
        name: 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,
    ) -> EvalUpdateResponse:
        """
        Update certain properties of an evaluation.

        Args:
          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
              for storing additional information about the object in a structured format, and
              querying for objects via API or the dashboard.

              Keys are strings with a maximum length of 64 characters. Values are strings with
              a maximum length of 512 characters.

          name: Rename the evaluation.

          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 eval_id:
            raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
        return self._post(
            path_template("/evals/{eval_id}", eval_id=eval_id),
            body=maybe_transform(
                {
                    "metadata": metadata,
                    "name": name,
                },
                eval_update_params.EvalUpdateParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalUpdateResponse,
        )

    def list(
        self,
        *,
        after: str | Omit = omit,
        limit: int | Omit = omit,
        order: Literal["asc", "desc"] | Omit = omit,
        order_by: Literal["created_at", "updated_at"] | 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,
    ) -> SyncCursorPage[EvalListResponse]:
        """
        List evaluations for a project.

        Args:
          after: Identifier for the last eval from the previous pagination request.

          limit: Number of evals to retrieve.

          order: Sort order for evals by timestamp. Use `asc` for ascending order or `desc` for
              descending order.

          order_by: Evals can be ordered by creation time or last updated time. Use `created_at` for
              creation time or `updated_at` for last updated time.

          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._get_api_list(
            "/evals",
            page=SyncCursorPage[EvalListResponse],
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
                query=maybe_transform(
                    {
                        "after": after,
                        "limit": limit,
                        "order": order,
                        "order_by": order_by,
                    },
                    eval_list_params.EvalListParams,
                ),
            ),
            model=EvalListResponse,
        )

    def delete(
        self,
        eval_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,
    ) -> EvalDeleteResponse:
        """
        Delete an evaluation.

        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 eval_id:
            raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
        return self._delete(
            path_template("/evals/{eval_id}", eval_id=eval_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalDeleteResponse,
        )


class AsyncEvals(AsyncAPIResource):
    """Manage and run evals in the OpenAI platform."""

    @cached_property
    def runs(self) -> AsyncRuns:
        """Manage and run evals in the OpenAI platform."""
        return AsyncRuns(self._client)

    @cached_property
    def with_raw_response(self) -> AsyncEvalsWithRawResponse:
        """
        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/openai/openai-python#accessing-raw-response-data-eg-headers
        """
        return AsyncEvalsWithRawResponse(self)

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

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

    async def create(
        self,
        *,
        data_source_config: eval_create_params.DataSourceConfig,
        testing_criteria: Iterable[eval_create_params.TestingCriterion],
        metadata: Optional[Metadata] | Omit = omit,
        name: 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,
    ) -> EvalCreateResponse:
        """
        Create the structure of an evaluation that can be used to test a model's
        performance. An evaluation is a set of testing criteria and the config for a
        data source, which dictates the schema of the data used in the evaluation. After
        creating an evaluation, you can run it on different models and model parameters.
        We support several types of graders and datasources. For more information, see
        the [Evals guide](https://platform.openai.com/docs/guides/evals).

        Args:
          data_source_config: The configuration for the data source used for the evaluation runs. Dictates the
              schema of the data used in the evaluation.

          testing_criteria: A list of graders for all eval runs in this group. Graders can reference
              variables in the data source using double curly braces notation, like
              `{{item.variable_name}}`. To reference the model's output, use the `sample`
              namespace (ie, `{{sample.output_text}}`).

          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
              for storing additional information about the object in a structured format, and
              querying for objects via API or the dashboard.

              Keys are strings with a maximum length of 64 characters. Values are strings with
              a maximum length of 512 characters.

          name: The name of the evaluation.

          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(
            "/evals",
            body=await async_maybe_transform(
                {
                    "data_source_config": data_source_config,
                    "testing_criteria": testing_criteria,
                    "metadata": metadata,
                    "name": name,
                },
                eval_create_params.EvalCreateParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalCreateResponse,
        )

    async def retrieve(
        self,
        eval_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,
    ) -> EvalRetrieveResponse:
        """
        Get an evaluation by ID.

        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 eval_id:
            raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
        return await self._get(
            path_template("/evals/{eval_id}", eval_id=eval_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalRetrieveResponse,
        )

    async def update(
        self,
        eval_id: str,
        *,
        metadata: Optional[Metadata] | Omit = omit,
        name: 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,
    ) -> EvalUpdateResponse:
        """
        Update certain properties of an evaluation.

        Args:
          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
              for storing additional information about the object in a structured format, and
              querying for objects via API or the dashboard.

              Keys are strings with a maximum length of 64 characters. Values are strings with
              a maximum length of 512 characters.

          name: Rename the evaluation.

          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 eval_id:
            raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
        return await self._post(
            path_template("/evals/{eval_id}", eval_id=eval_id),
            body=await async_maybe_transform(
                {
                    "metadata": metadata,
                    "name": name,
                },
                eval_update_params.EvalUpdateParams,
            ),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalUpdateResponse,
        )

    def list(
        self,
        *,
        after: str | Omit = omit,
        limit: int | Omit = omit,
        order: Literal["asc", "desc"] | Omit = omit,
        order_by: Literal["created_at", "updated_at"] | 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,
    ) -> AsyncPaginator[EvalListResponse, AsyncCursorPage[EvalListResponse]]:
        """
        List evaluations for a project.

        Args:
          after: Identifier for the last eval from the previous pagination request.

          limit: Number of evals to retrieve.

          order: Sort order for evals by timestamp. Use `asc` for ascending order or `desc` for
              descending order.

          order_by: Evals can be ordered by creation time or last updated time. Use `created_at` for
              creation time or `updated_at` for last updated time.

          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._get_api_list(
            "/evals",
            page=AsyncCursorPage[EvalListResponse],
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
                query=maybe_transform(
                    {
                        "after": after,
                        "limit": limit,
                        "order": order,
                        "order_by": order_by,
                    },
                    eval_list_params.EvalListParams,
                ),
            ),
            model=EvalListResponse,
        )

    async def delete(
        self,
        eval_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,
    ) -> EvalDeleteResponse:
        """
        Delete an evaluation.

        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 eval_id:
            raise ValueError(f"Expected a non-empty value for `eval_id` but received {eval_id!r}")
        return await self._delete(
            path_template("/evals/{eval_id}", eval_id=eval_id),
            options=make_request_options(
                extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
            ),
            cast_to=EvalDeleteResponse,
        )


class EvalsWithRawResponse:
    def __init__(self, evals: Evals) -> None:
        self._evals = evals

        self.create = _legacy_response.to_raw_response_wrapper(
            evals.create,
        )
        self.retrieve = _legacy_response.to_raw_response_wrapper(
            evals.retrieve,
        )
        self.update = _legacy_response.to_raw_response_wrapper(
            evals.update,
        )
        self.list = _legacy_response.to_raw_response_wrapper(
            evals.list,
        )
        self.delete = _legacy_response.to_raw_response_wrapper(
            evals.delete,
        )

    @cached_property
    def runs(self) -> RunsWithRawResponse:
        """Manage and run evals in the OpenAI platform."""
        return RunsWithRawResponse(self._evals.runs)


class AsyncEvalsWithRawResponse:
    def __init__(self, evals: AsyncEvals) -> None:
        self._evals = evals

        self.create = _legacy_response.async_to_raw_response_wrapper(
            evals.create,
        )
        self.retrieve = _legacy_response.async_to_raw_response_wrapper(
            evals.retrieve,
        )
        self.update = _legacy_response.async_to_raw_response_wrapper(
            evals.update,
        )
        self.list = _legacy_response.async_to_raw_response_wrapper(
            evals.list,
        )
        self.delete = _legacy_response.async_to_raw_response_wrapper(
            evals.delete,
        )

    @cached_property
    def runs(self) -> AsyncRunsWithRawResponse:
        """Manage and run evals in the OpenAI platform."""
        return AsyncRunsWithRawResponse(self._evals.runs)


class EvalsWithStreamingResponse:
    def __init__(self, evals: Evals) -> None:
        self._evals = evals

        self.create = to_streamed_response_wrapper(
            evals.create,
        )
        self.retrieve = to_streamed_response_wrapper(
            evals.retrieve,
        )
        self.update = to_streamed_response_wrapper(
            evals.update,
        )
        self.list = to_streamed_response_wrapper(
            evals.list,
        )
        self.delete = to_streamed_response_wrapper(
            evals.delete,
        )

    @cached_property
    def runs(self) -> RunsWithStreamingResponse:
        """Manage and run evals in the OpenAI platform."""
        return RunsWithStreamingResponse(self._evals.runs)


class AsyncEvalsWithStreamingResponse:
    def __init__(self, evals: AsyncEvals) -> None:
        self._evals = evals

        self.create = async_to_streamed_response_wrapper(
            evals.create,
        )
        self.retrieve = async_to_streamed_response_wrapper(
            evals.retrieve,
        )
        self.update = async_to_streamed_response_wrapper(
            evals.update,
        )
        self.list = async_to_streamed_response_wrapper(
            evals.list,
        )
        self.delete = async_to_streamed_response_wrapper(
            evals.delete,
        )

    @cached_property
    def runs(self) -> AsyncRunsWithStreamingResponse:
        """Manage and run evals in the OpenAI platform."""
        return AsyncRunsWithStreamingResponse(self._evals.runs)
