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

import datetime as dt
import typing
from json.decoder import JSONDecodeError

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 ..core.api_error import ApiError
from ..core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from ..core.datetime_utils import serialize_datetime
from ..core.http_response import AsyncHttpResponse, HttpResponse
from ..core.pydantic_utilities import parse_obj_as
from ..core.request_options import RequestOptions
from .types.experiment_items_response import ExperimentItemsResponse
from .types.experiments_response import ExperimentsResponse


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

    def list(
        self,
        *,
        from_start_time: dt.datetime,
        fields: typing.Optional[str] = None,
        limit: typing.Optional[int] = None,
        score_limit: typing.Optional[int] = None,
        cursor: typing.Optional[str] = None,
        to_start_time: typing.Optional[dt.datetime] = None,
        id: typing.Optional[str] = None,
        name: typing.Optional[str] = None,
        dataset_id: typing.Optional[str] = None,
        filter: typing.Optional[str] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> HttpResponse[ExperimentsResponse]:
        """
        List experiments with cursor-based pagination. Results are ordered by
        latest experiment activity descending.

        Parameters
        ----------
        from_start_time : dt.datetime
            Retrieve only experiments on or after this datetime.

        fields : typing.Optional[str]
            Comma-separated list of field groups to include. Available groups:
            `core`, `metadata`, `scores`. If omitted, `core` is returned.

        limit : typing.Optional[int]
            Number of experiments to return per page. Maximum 100, default 50.

        score_limit : typing.Optional[int]
            Number of scores to return per experiment when `fields=scores` is requested. Maximum 50, default 50.

        cursor : typing.Optional[str]
            Versioned base64url cursor from the previous response page.

        to_start_time : typing.Optional[dt.datetime]
            Retrieve only experiments before this datetime.

        id : typing.Optional[str]
            Comma-separated list of experiment IDs.

        name : typing.Optional[str]
            Comma-separated list of experiment names.

        dataset_id : typing.Optional[str]
            Comma-separated list of dataset IDs.

        filter : typing.Optional[str]
            JSON string containing an array of structured filter conditions.
            Supported columns are `id`, `name`, and `datasetId`.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        HttpResponse[ExperimentsResponse]
        """
        _response = self._client_wrapper.httpx_client.request(
            "api/public/experiments",
            method="GET",
            params={
                "fields": fields,
                "limit": limit,
                "scoreLimit": score_limit,
                "cursor": cursor,
                "fromStartTime": serialize_datetime(from_start_time),
                "toStartTime": serialize_datetime(to_start_time)
                if to_start_time is not None
                else None,
                "id": id,
                "name": name,
                "datasetId": dataset_id,
                "filter": filter,
            },
            request_options=request_options,
        )
        try:
            if 200 <= _response.status_code < 300:
                _data = typing.cast(
                    ExperimentsResponse,
                    parse_obj_as(
                        type_=ExperimentsResponse,  # type: ignore
                        object_=_response.json(),
                    ),
                )
                return HttpResponse(response=_response, data=_data)
            if _response.status_code == 400:
                raise Error(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 401:
                raise UnauthorizedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 403:
                raise AccessDeniedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 405:
                raise MethodNotAllowedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 404:
                raise NotFoundError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(
                status_code=_response.status_code,
                headers=dict(_response.headers),
                body=_response.text,
            )
        raise ApiError(
            status_code=_response.status_code,
            headers=dict(_response.headers),
            body=_response_json,
        )

    def list_items(
        self,
        *,
        from_start_time: dt.datetime,
        fields: typing.Optional[str] = None,
        limit: typing.Optional[int] = None,
        score_limit: typing.Optional[int] = None,
        cursor: typing.Optional[str] = None,
        to_start_time: typing.Optional[dt.datetime] = None,
        experiment_id: typing.Optional[str] = None,
        experiment_name: typing.Optional[str] = None,
        experiment_item_id: typing.Optional[str] = None,
        dataset_id: typing.Optional[str] = None,
        filter: typing.Optional[str] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> HttpResponse[ExperimentItemsResponse]:
        """
        List experiment items with cursor-based pagination. Use this endpoint
        to export experiment item inputs, outputs, expected outputs, metadata,
        and optionally item/trace scores. Results are ordered by time
        descending.

        Parameters
        ----------
        from_start_time : dt.datetime
            Retrieve only experiment items started on or after this datetime.

        fields : typing.Optional[str]
            Comma-separated list of field groups to include. Available groups:
            `core`, `dataset`, `io`, `metadata`, `itemMetadata`,
            `experimentMetadata`, `scores`. If omitted, `core,dataset` is
            returned.

        limit : typing.Optional[int]
            Number of experiment items to return per page. Maximum 100, default 50.

        score_limit : typing.Optional[int]
            Number of scores to return per experiment item when `fields=scores` is requested. Maximum 50, default 50.

        cursor : typing.Optional[str]
            Versioned base64url cursor from the previous response page.

        to_start_time : typing.Optional[dt.datetime]
            Retrieve only experiment items started before this datetime.

        experiment_id : typing.Optional[str]
            Comma-separated list of experiment IDs.

        experiment_name : typing.Optional[str]
            Comma-separated list of experiment names.

        experiment_item_id : typing.Optional[str]
            Comma-separated list of experiment item IDs.

        dataset_id : typing.Optional[str]
            Comma-separated list of dataset IDs.

        filter : typing.Optional[str]
            JSON string containing an array of structured filter conditions.
            Supported columns are `experimentId`, `experimentName`,
            `experimentItemId`, and `datasetId`.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        HttpResponse[ExperimentItemsResponse]
        """
        _response = self._client_wrapper.httpx_client.request(
            "api/public/experiment-items",
            method="GET",
            params={
                "fields": fields,
                "limit": limit,
                "scoreLimit": score_limit,
                "cursor": cursor,
                "fromStartTime": serialize_datetime(from_start_time),
                "toStartTime": serialize_datetime(to_start_time)
                if to_start_time is not None
                else None,
                "experimentId": experiment_id,
                "experimentName": experiment_name,
                "experimentItemId": experiment_item_id,
                "datasetId": dataset_id,
                "filter": filter,
            },
            request_options=request_options,
        )
        try:
            if 200 <= _response.status_code < 300:
                _data = typing.cast(
                    ExperimentItemsResponse,
                    parse_obj_as(
                        type_=ExperimentItemsResponse,  # type: ignore
                        object_=_response.json(),
                    ),
                )
                return HttpResponse(response=_response, data=_data)
            if _response.status_code == 400:
                raise Error(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 401:
                raise UnauthorizedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 403:
                raise AccessDeniedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 405:
                raise MethodNotAllowedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 404:
                raise NotFoundError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(
                status_code=_response.status_code,
                headers=dict(_response.headers),
                body=_response.text,
            )
        raise ApiError(
            status_code=_response.status_code,
            headers=dict(_response.headers),
            body=_response_json,
        )


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

    async def list(
        self,
        *,
        from_start_time: dt.datetime,
        fields: typing.Optional[str] = None,
        limit: typing.Optional[int] = None,
        score_limit: typing.Optional[int] = None,
        cursor: typing.Optional[str] = None,
        to_start_time: typing.Optional[dt.datetime] = None,
        id: typing.Optional[str] = None,
        name: typing.Optional[str] = None,
        dataset_id: typing.Optional[str] = None,
        filter: typing.Optional[str] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> AsyncHttpResponse[ExperimentsResponse]:
        """
        List experiments with cursor-based pagination. Results are ordered by
        latest experiment activity descending.

        Parameters
        ----------
        from_start_time : dt.datetime
            Retrieve only experiments on or after this datetime.

        fields : typing.Optional[str]
            Comma-separated list of field groups to include. Available groups:
            `core`, `metadata`, `scores`. If omitted, `core` is returned.

        limit : typing.Optional[int]
            Number of experiments to return per page. Maximum 100, default 50.

        score_limit : typing.Optional[int]
            Number of scores to return per experiment when `fields=scores` is requested. Maximum 50, default 50.

        cursor : typing.Optional[str]
            Versioned base64url cursor from the previous response page.

        to_start_time : typing.Optional[dt.datetime]
            Retrieve only experiments before this datetime.

        id : typing.Optional[str]
            Comma-separated list of experiment IDs.

        name : typing.Optional[str]
            Comma-separated list of experiment names.

        dataset_id : typing.Optional[str]
            Comma-separated list of dataset IDs.

        filter : typing.Optional[str]
            JSON string containing an array of structured filter conditions.
            Supported columns are `id`, `name`, and `datasetId`.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        AsyncHttpResponse[ExperimentsResponse]
        """
        _response = await self._client_wrapper.httpx_client.request(
            "api/public/experiments",
            method="GET",
            params={
                "fields": fields,
                "limit": limit,
                "scoreLimit": score_limit,
                "cursor": cursor,
                "fromStartTime": serialize_datetime(from_start_time),
                "toStartTime": serialize_datetime(to_start_time)
                if to_start_time is not None
                else None,
                "id": id,
                "name": name,
                "datasetId": dataset_id,
                "filter": filter,
            },
            request_options=request_options,
        )
        try:
            if 200 <= _response.status_code < 300:
                _data = typing.cast(
                    ExperimentsResponse,
                    parse_obj_as(
                        type_=ExperimentsResponse,  # type: ignore
                        object_=_response.json(),
                    ),
                )
                return AsyncHttpResponse(response=_response, data=_data)
            if _response.status_code == 400:
                raise Error(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 401:
                raise UnauthorizedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 403:
                raise AccessDeniedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 405:
                raise MethodNotAllowedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 404:
                raise NotFoundError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(
                status_code=_response.status_code,
                headers=dict(_response.headers),
                body=_response.text,
            )
        raise ApiError(
            status_code=_response.status_code,
            headers=dict(_response.headers),
            body=_response_json,
        )

    async def list_items(
        self,
        *,
        from_start_time: dt.datetime,
        fields: typing.Optional[str] = None,
        limit: typing.Optional[int] = None,
        score_limit: typing.Optional[int] = None,
        cursor: typing.Optional[str] = None,
        to_start_time: typing.Optional[dt.datetime] = None,
        experiment_id: typing.Optional[str] = None,
        experiment_name: typing.Optional[str] = None,
        experiment_item_id: typing.Optional[str] = None,
        dataset_id: typing.Optional[str] = None,
        filter: typing.Optional[str] = None,
        request_options: typing.Optional[RequestOptions] = None,
    ) -> AsyncHttpResponse[ExperimentItemsResponse]:
        """
        List experiment items with cursor-based pagination. Use this endpoint
        to export experiment item inputs, outputs, expected outputs, metadata,
        and optionally item/trace scores. Results are ordered by time
        descending.

        Parameters
        ----------
        from_start_time : dt.datetime
            Retrieve only experiment items started on or after this datetime.

        fields : typing.Optional[str]
            Comma-separated list of field groups to include. Available groups:
            `core`, `dataset`, `io`, `metadata`, `itemMetadata`,
            `experimentMetadata`, `scores`. If omitted, `core,dataset` is
            returned.

        limit : typing.Optional[int]
            Number of experiment items to return per page. Maximum 100, default 50.

        score_limit : typing.Optional[int]
            Number of scores to return per experiment item when `fields=scores` is requested. Maximum 50, default 50.

        cursor : typing.Optional[str]
            Versioned base64url cursor from the previous response page.

        to_start_time : typing.Optional[dt.datetime]
            Retrieve only experiment items started before this datetime.

        experiment_id : typing.Optional[str]
            Comma-separated list of experiment IDs.

        experiment_name : typing.Optional[str]
            Comma-separated list of experiment names.

        experiment_item_id : typing.Optional[str]
            Comma-separated list of experiment item IDs.

        dataset_id : typing.Optional[str]
            Comma-separated list of dataset IDs.

        filter : typing.Optional[str]
            JSON string containing an array of structured filter conditions.
            Supported columns are `experimentId`, `experimentName`,
            `experimentItemId`, and `datasetId`.

        request_options : typing.Optional[RequestOptions]
            Request-specific configuration.

        Returns
        -------
        AsyncHttpResponse[ExperimentItemsResponse]
        """
        _response = await self._client_wrapper.httpx_client.request(
            "api/public/experiment-items",
            method="GET",
            params={
                "fields": fields,
                "limit": limit,
                "scoreLimit": score_limit,
                "cursor": cursor,
                "fromStartTime": serialize_datetime(from_start_time),
                "toStartTime": serialize_datetime(to_start_time)
                if to_start_time is not None
                else None,
                "experimentId": experiment_id,
                "experimentName": experiment_name,
                "experimentItemId": experiment_item_id,
                "datasetId": dataset_id,
                "filter": filter,
            },
            request_options=request_options,
        )
        try:
            if 200 <= _response.status_code < 300:
                _data = typing.cast(
                    ExperimentItemsResponse,
                    parse_obj_as(
                        type_=ExperimentItemsResponse,  # type: ignore
                        object_=_response.json(),
                    ),
                )
                return AsyncHttpResponse(response=_response, data=_data)
            if _response.status_code == 400:
                raise Error(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 401:
                raise UnauthorizedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 403:
                raise AccessDeniedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 405:
                raise MethodNotAllowedError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            if _response.status_code == 404:
                raise NotFoundError(
                    headers=dict(_response.headers),
                    body=typing.cast(
                        typing.Any,
                        parse_obj_as(
                            type_=typing.Any,  # type: ignore
                            object_=_response.json(),
                        ),
                    ),
                )
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(
                status_code=_response.status_code,
                headers=dict(_response.headers),
                body=_response.text,
            )
        raise ApiError(
            status_code=_response.status_code,
            headers=dict(_response.headers),
            body=_response_json,
        )
