# This file was auto-generated by Fern from our API Definition.

import typing
import urllib.parse
from json.decoder import JSONDecodeError

from ...core.api_error import ApiError
from ...core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from ...core.jsonable_encoder import jsonable_encoder
from ...core.pydantic_utilities import pydantic_v1
from ...core.remove_none_from_dict import remove_none_from_dict
from ...core.request_options import RequestOptions
from ..commons.errors.access_denied_error import AccessDeniedError
from ..commons.errors.error import Error
from ..commons.errors.method_not_allowed_error import MethodNotAllowedError
from ..commons.errors.not_found_error import NotFoundError
from ..commons.errors.unauthorized_error import UnauthorizedError
from ..commons.types.dataset import Dataset
from ..commons.types.dataset_run_with_items import DatasetRunWithItems
from .types.create_dataset_request import CreateDatasetRequest
from .types.paginated_dataset_runs import PaginatedDatasetRuns
from .types.paginated_datasets import PaginatedDatasets

# this is used as the default value for optional parameters
OMIT = typing.cast(typing.Any, ...)


class DatasetsClient:
    def __init__(self, *, client_wrapper: SyncClientWrapper):
        self._client_wrapper = client_wrapper

    def list(
        self,
        *,
        page: typing.Optional[int] = None,
        limit: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> PaginatedDatasets:
        """
        Get all datasets

        Parameters:
            - page: typing.Optional[int]. page number, starts at 1

            - limit: typing.Optional[int]. limit of items per page

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import FernLangfuse

        client = FernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        client.datasets.list(
            page=1,
            limit=1,
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/", "api/public/v2/datasets"
            ),
            params=jsonable_encoder(
                remove_none_from_dict(
                    {
                        "page": page,
                        "limit": limit,
                        **(
                            request_options.get("additional_query_parameters", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(PaginatedDatasets, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    def get(
        self,
        dataset_name: str,
        *,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Dataset:
        """
        Get a dataset

        Parameters:
            - dataset_name: str.

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import FernLangfuse

        client = FernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        client.datasets.get(
            dataset_name="string",
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/public/v2/datasets/{jsonable_encoder(dataset_name)}",
            ),
            params=jsonable_encoder(
                request_options.get("additional_query_parameters")
                if request_options is not None
                else None
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(Dataset, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    def create(
        self,
        *,
        request: CreateDatasetRequest,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Dataset:
        """
        Create a dataset

        Parameters:
            - request: CreateDatasetRequest.

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto import CreateDatasetRequest
        from finto.client import FernLangfuse

        client = FernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        client.datasets.create(
            request=CreateDatasetRequest(
                name="string",
                description="string",
                metadata={"key": "value"},
            ),
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "POST",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/", "api/public/v2/datasets"
            ),
            params=jsonable_encoder(
                request_options.get("additional_query_parameters")
                if request_options is not None
                else None
            ),
            json=jsonable_encoder(request)
            if request_options is None
            or request_options.get("additional_body_parameters") is None
            else {
                **jsonable_encoder(request),
                **(
                    jsonable_encoder(
                        remove_none_from_dict(
                            request_options.get("additional_body_parameters", {})
                        )
                    )
                ),
            },
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(Dataset, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    def get_run(
        self,
        dataset_name: str,
        run_name: str,
        *,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> DatasetRunWithItems:
        """
        Get a dataset run and its items

        Parameters:
            - dataset_name: str.

            - run_name: str.

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import FernLangfuse

        client = FernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        client.datasets.get_run(
            dataset_name="string",
            run_name="string",
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/public/datasets/{jsonable_encoder(dataset_name)}/runs/{jsonable_encoder(run_name)}",
            ),
            params=jsonable_encoder(
                request_options.get("additional_query_parameters")
                if request_options is not None
                else None
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(DatasetRunWithItems, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    def get_runs(
        self,
        dataset_name: str,
        *,
        page: typing.Optional[int] = None,
        limit: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> PaginatedDatasetRuns:
        """
        Get dataset runs

        Parameters:
            - dataset_name: str.

            - page: typing.Optional[int]. page number, starts at 1

            - limit: typing.Optional[int]. limit of items per page

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import FernLangfuse

        client = FernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        client.datasets.get_runs(
            dataset_name="string",
            page=1,
            limit=1,
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/public/datasets/{jsonable_encoder(dataset_name)}/runs",
            ),
            params=jsonable_encoder(
                remove_none_from_dict(
                    {
                        "page": page,
                        "limit": limit,
                        **(
                            request_options.get("additional_query_parameters", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(PaginatedDatasetRuns, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)


class AsyncDatasetsClient:
    def __init__(self, *, client_wrapper: AsyncClientWrapper):
        self._client_wrapper = client_wrapper

    async def list(
        self,
        *,
        page: typing.Optional[int] = None,
        limit: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> PaginatedDatasets:
        """
        Get all datasets

        Parameters:
            - page: typing.Optional[int]. page number, starts at 1

            - limit: typing.Optional[int]. limit of items per page

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import AsyncFernLangfuse

        client = AsyncFernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        await client.datasets.list(
            page=1,
            limit=1,
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/", "api/public/v2/datasets"
            ),
            params=jsonable_encoder(
                remove_none_from_dict(
                    {
                        "page": page,
                        "limit": limit,
                        **(
                            request_options.get("additional_query_parameters", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(PaginatedDatasets, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    async def get(
        self,
        dataset_name: str,
        *,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Dataset:
        """
        Get a dataset

        Parameters:
            - dataset_name: str.

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import AsyncFernLangfuse

        client = AsyncFernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        await client.datasets.get(
            dataset_name="string",
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/public/v2/datasets/{jsonable_encoder(dataset_name)}",
            ),
            params=jsonable_encoder(
                request_options.get("additional_query_parameters")
                if request_options is not None
                else None
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(Dataset, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    async def create(
        self,
        *,
        request: CreateDatasetRequest,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> Dataset:
        """
        Create a dataset

        Parameters:
            - request: CreateDatasetRequest.

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto import CreateDatasetRequest
        from finto.client import AsyncFernLangfuse

        client = AsyncFernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        await client.datasets.create(
            request=CreateDatasetRequest(
                name="string",
                description="string",
                metadata={"key": "value"},
            ),
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "POST",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/", "api/public/v2/datasets"
            ),
            params=jsonable_encoder(
                request_options.get("additional_query_parameters")
                if request_options is not None
                else None
            ),
            json=jsonable_encoder(request)
            if request_options is None
            or request_options.get("additional_body_parameters") is None
            else {
                **jsonable_encoder(request),
                **(
                    jsonable_encoder(
                        remove_none_from_dict(
                            request_options.get("additional_body_parameters", {})
                        )
                    )
                ),
            },
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(Dataset, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    async def get_run(
        self,
        dataset_name: str,
        run_name: str,
        *,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> DatasetRunWithItems:
        """
        Get a dataset run and its items

        Parameters:
            - dataset_name: str.

            - run_name: str.

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import AsyncFernLangfuse

        client = AsyncFernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        await client.datasets.get_run(
            dataset_name="string",
            run_name="string",
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/public/datasets/{jsonable_encoder(dataset_name)}/runs/{jsonable_encoder(run_name)}",
            ),
            params=jsonable_encoder(
                request_options.get("additional_query_parameters")
                if request_options is not None
                else None
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(DatasetRunWithItems, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    async def get_runs(
        self,
        dataset_name: str,
        *,
        page: typing.Optional[int] = None,
        limit: typing.Optional[int] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> PaginatedDatasetRuns:
        """
        Get dataset runs

        Parameters:
            - dataset_name: str.

            - page: typing.Optional[int]. page number, starts at 1

            - limit: typing.Optional[int]. limit of items per page

            - request_options: typing.Optional[RequestOptions]. Request-specific configuration.
        ---
        from finto.client import AsyncFernLangfuse

        client = AsyncFernLangfuse(
            x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME",
            x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION",
            x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY",
            username="YOUR_USERNAME",
            password="YOUR_PASSWORD",
            base_url="https://yourhost.com/path/to/api",
        )
        await client.datasets.get_runs(
            dataset_name="string",
            page=1,
            limit=1,
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/public/datasets/{jsonable_encoder(dataset_name)}/runs",
            ),
            params=jsonable_encoder(
                remove_none_from_dict(
                    {
                        "page": page,
                        "limit": limit,
                        **(
                            request_options.get("additional_query_parameters", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            headers=jsonable_encoder(
                remove_none_from_dict(
                    {
                        **self._client_wrapper.get_headers(),
                        **(
                            request_options.get("additional_headers", {})
                            if request_options is not None
                            else {}
                        ),
                    }
                )
            ),
            timeout=request_options.get("timeout_in_seconds")
            if request_options is not None
            and request_options.get("timeout_in_seconds") is not None
            else self._client_wrapper.get_timeout(),
            retries=0,
            max_retries=request_options.get("max_retries")
            if request_options is not None
            else 0,  # type: ignore
        )
        if 200 <= _response.status_code < 300:
            return pydantic_v1.parse_obj_as(PaginatedDatasetRuns, _response.json())  # type: ignore
        if _response.status_code == 400:
            raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        if _response.status_code == 401:
            raise UnauthorizedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 403:
            raise AccessDeniedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 405:
            raise MethodNotAllowedError(
                pydantic_v1.parse_obj_as(typing.Any, _response.json())
            )  # type: ignore
        if _response.status_code == 404:
            raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)
