# 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 ..commons.types.create_score_value import CreateScoreValue from ..commons.types.score import Score from ..commons.types.score_data_type import ScoreDataType from ..commons.types.score_source import ScoreSource 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.jsonable_encoder import jsonable_encoder from ..core.pydantic_utilities import parse_obj_as from ..core.request_options import RequestOptions from ..core.serialization import convert_and_respect_annotation_metadata from .types.create_score_response import CreateScoreResponse from .types.create_score_source import CreateScoreSource from .types.get_scores_response import GetScoresResponse # this is used as the default value for optional parameters OMIT = typing.cast(typing.Any, ...) class RawScoresClient: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper def create( self, *, name: str, value: CreateScoreValue, id: typing.Optional[str] = OMIT, trace_id: typing.Optional[str] = OMIT, session_id: typing.Optional[str] = OMIT, observation_id: typing.Optional[str] = OMIT, dataset_run_id: typing.Optional[str] = OMIT, comment: typing.Optional[str] = OMIT, metadata: typing.Optional[typing.Dict[str, typing.Any]] = OMIT, environment: typing.Optional[str] = OMIT, queue_id: typing.Optional[str] = OMIT, data_type: typing.Optional[ScoreDataType] = OMIT, config_id: typing.Optional[str] = OMIT, source: typing.Optional[CreateScoreSource] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[CreateScoreResponse]: """ Create a score (supports trace, observation, session, and dataset run scores) Parameters ---------- name : str value : CreateScoreValue The value of the score. Must be passed as string for categorical and text scores, and numeric for boolean and numeric scores. Boolean score values must equal either 1 or 0 (true or false). Text score values must be between 1 and 500 characters. id : typing.Optional[str] trace_id : typing.Optional[str] session_id : typing.Optional[str] observation_id : typing.Optional[str] dataset_run_id : typing.Optional[str] comment : typing.Optional[str] metadata : typing.Optional[typing.Dict[str, typing.Any]] environment : typing.Optional[str] The environment of the score. Can be any lowercase alphanumeric string with hyphens and underscores that does not start with 'langfuse'. queue_id : typing.Optional[str] The annotation queue referenced by the score. Indicates if score was initially created while processing annotation queue. data_type : typing.Optional[ScoreDataType] The data type of the score. When passing a configId this field is inferred. Otherwise, this field must be passed or will default to numeric. config_id : typing.Optional[str] Reference a score config on a score. The unique langfuse identifier of a score config. When passing this field, the dataType and stringValue fields are automatically populated. source : typing.Optional[CreateScoreSource] The source of the score. Defaults to API. Set to ANNOTATION to prefill scores (e.g. from an LLM) for a human reviewer to verify in an annotation queue. When source is ANNOTATION, a configId is required unless dataType is CORRECTION. EVAL is reserved for internal evaluator outputs and is not accepted on this endpoint. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[CreateScoreResponse] """ _response = self._client_wrapper.httpx_client.request( "api/public/scores", method="POST", json={ "id": id, "traceId": trace_id, "sessionId": session_id, "observationId": observation_id, "datasetRunId": dataset_run_id, "name": name, "value": convert_and_respect_annotation_metadata( object_=value, annotation=CreateScoreValue, direction="write" ), "comment": comment, "metadata": metadata, "environment": environment, "queueId": queue_id, "dataType": data_type, "configId": config_id, "source": source, }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( CreateScoreResponse, parse_obj_as( type_=CreateScoreResponse, # 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 get_many( self, *, page: typing.Optional[int] = None, limit: typing.Optional[int] = None, user_id: typing.Optional[str] = None, name: typing.Optional[str] = None, from_timestamp: typing.Optional[dt.datetime] = None, to_timestamp: typing.Optional[dt.datetime] = None, environment: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None, source: typing.Optional[ScoreSource] = None, operator: typing.Optional[str] = None, value: typing.Optional[float] = None, score_ids: typing.Optional[str] = None, config_id: typing.Optional[str] = None, session_id: typing.Optional[str] = None, dataset_run_id: typing.Optional[str] = None, trace_id: typing.Optional[str] = None, observation_id: typing.Optional[str] = None, queue_id: typing.Optional[str] = None, data_type: typing.Optional[ScoreDataType] = None, trace_tags: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None, fields: typing.Optional[str] = None, filter: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[GetScoresResponse]: """ **Deprecated.** Use `GET /api/public/v3/scores` instead. This endpoint is no longer available on Langfuse v4 and later. Get a list of scores (supports both trace and session scores) Parameters ---------- page : typing.Optional[int] Page number, starts at 1. limit : typing.Optional[int] Limit of items per page. Maximum 100. Defaults to 50. Requests with a limit greater than 100 return HTTP 400. If you encounter api issues due to too large page sizes, try to reduce the limit. user_id : typing.Optional[str] Retrieve only scores with this userId associated to the trace. name : typing.Optional[str] Retrieve only scores with this name. from_timestamp : typing.Optional[dt.datetime] Optional filter to only include scores created on or after a certain datetime (ISO 8601) to_timestamp : typing.Optional[dt.datetime] Optional filter to only include scores created before a certain datetime (ISO 8601) environment : typing.Optional[typing.Union[str, typing.Sequence[str]]] Optional filter for scores where the environment is one of the provided values. source : typing.Optional[ScoreSource] Retrieve only scores from a specific source. operator : typing.Optional[str] Retrieve only scores with value. value : typing.Optional[float] Retrieve only scores with value. score_ids : typing.Optional[str] Comma-separated list of score IDs to limit the results to. config_id : typing.Optional[str] Retrieve only scores with a specific configId. session_id : typing.Optional[str] Retrieve only scores with a specific sessionId. dataset_run_id : typing.Optional[str] Retrieve only scores with a specific datasetRunId. trace_id : typing.Optional[str] Retrieve only scores with a specific traceId. observation_id : typing.Optional[str] Comma-separated list of observation IDs to filter scores by. queue_id : typing.Optional[str] Retrieve only scores with a specific annotation queueId. data_type : typing.Optional[ScoreDataType] Retrieve only scores with a specific dataType. trace_tags : typing.Optional[typing.Union[str, typing.Sequence[str]]] Only scores linked to traces that include all of these tags will be returned. fields : typing.Optional[str] Comma-separated list of field groups to include in the response. Available field groups: 'score' (core score fields), 'trace' (trace properties: userId, tags, environment, sessionId). If not specified, both 'score' and 'trace' are returned by default. Example: 'score' to exclude trace data, 'score,trace' to include both. Note: When filtering by trace properties (using userId or traceTags parameters), the 'trace' field group must be included, otherwise a 400 error will be returned. filter : typing.Optional[str] A JSON stringified array of filter objects. Each object requires type, column, operator, and value. Supports filtering by score metadata using the stringObject type. Example: [{"type":"stringObject","column":"metadata","key":"user_id","operator":"=","value":"abc123"}]. Supported types: stringObject (metadata key-value filtering), string, number, datetime, stringOptions, arrayOptions. Supported operators for stringObject: =, contains, does not contain, starts with, ends with. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[GetScoresResponse] """ _response = self._client_wrapper.httpx_client.request( "api/public/v2/scores", method="GET", params={ "page": page, "limit": limit, "userId": user_id, "name": name, "fromTimestamp": serialize_datetime(from_timestamp) if from_timestamp is not None else None, "toTimestamp": serialize_datetime(to_timestamp) if to_timestamp is not None else None, "environment": environment, "source": source, "operator": operator, "value": value, "scoreIds": score_ids, "configId": config_id, "sessionId": session_id, "datasetRunId": dataset_run_id, "traceId": trace_id, "observationId": observation_id, "queueId": queue_id, "dataType": data_type, "traceTags": trace_tags, "fields": fields, "filter": filter, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( GetScoresResponse, parse_obj_as( type_=GetScoresResponse, # 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 get_by_id( self, score_id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> HttpResponse[Score]: """ **Deprecated.** Use `GET /api/public/v3/scores` with the `id` filter instead. This endpoint is no longer available on Langfuse v4 and later. Get a score (supports both trace and session scores) Parameters ---------- score_id : str The unique langfuse identifier of a score request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[Score] """ _response = self._client_wrapper.httpx_client.request( f"api/public/v2/scores/{jsonable_encoder(score_id)}", method="GET", request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( Score, parse_obj_as( type_=Score, # 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 AsyncRawScoresClient: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper async def create( self, *, name: str, value: CreateScoreValue, id: typing.Optional[str] = OMIT, trace_id: typing.Optional[str] = OMIT, session_id: typing.Optional[str] = OMIT, observation_id: typing.Optional[str] = OMIT, dataset_run_id: typing.Optional[str] = OMIT, comment: typing.Optional[str] = OMIT, metadata: typing.Optional[typing.Dict[str, typing.Any]] = OMIT, environment: typing.Optional[str] = OMIT, queue_id: typing.Optional[str] = OMIT, data_type: typing.Optional[ScoreDataType] = OMIT, config_id: typing.Optional[str] = OMIT, source: typing.Optional[CreateScoreSource] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[CreateScoreResponse]: """ Create a score (supports trace, observation, session, and dataset run scores) Parameters ---------- name : str value : CreateScoreValue The value of the score. Must be passed as string for categorical and text scores, and numeric for boolean and numeric scores. Boolean score values must equal either 1 or 0 (true or false). Text score values must be between 1 and 500 characters. id : typing.Optional[str] trace_id : typing.Optional[str] session_id : typing.Optional[str] observation_id : typing.Optional[str] dataset_run_id : typing.Optional[str] comment : typing.Optional[str] metadata : typing.Optional[typing.Dict[str, typing.Any]] environment : typing.Optional[str] The environment of the score. Can be any lowercase alphanumeric string with hyphens and underscores that does not start with 'langfuse'. queue_id : typing.Optional[str] The annotation queue referenced by the score. Indicates if score was initially created while processing annotation queue. data_type : typing.Optional[ScoreDataType] The data type of the score. When passing a configId this field is inferred. Otherwise, this field must be passed or will default to numeric. config_id : typing.Optional[str] Reference a score config on a score. The unique langfuse identifier of a score config. When passing this field, the dataType and stringValue fields are automatically populated. source : typing.Optional[CreateScoreSource] The source of the score. Defaults to API. Set to ANNOTATION to prefill scores (e.g. from an LLM) for a human reviewer to verify in an annotation queue. When source is ANNOTATION, a configId is required unless dataType is CORRECTION. EVAL is reserved for internal evaluator outputs and is not accepted on this endpoint. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[CreateScoreResponse] """ _response = await self._client_wrapper.httpx_client.request( "api/public/scores", method="POST", json={ "id": id, "traceId": trace_id, "sessionId": session_id, "observationId": observation_id, "datasetRunId": dataset_run_id, "name": name, "value": convert_and_respect_annotation_metadata( object_=value, annotation=CreateScoreValue, direction="write" ), "comment": comment, "metadata": metadata, "environment": environment, "queueId": queue_id, "dataType": data_type, "configId": config_id, "source": source, }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( CreateScoreResponse, parse_obj_as( type_=CreateScoreResponse, # 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 get_many( self, *, page: typing.Optional[int] = None, limit: typing.Optional[int] = None, user_id: typing.Optional[str] = None, name: typing.Optional[str] = None, from_timestamp: typing.Optional[dt.datetime] = None, to_timestamp: typing.Optional[dt.datetime] = None, environment: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None, source: typing.Optional[ScoreSource] = None, operator: typing.Optional[str] = None, value: typing.Optional[float] = None, score_ids: typing.Optional[str] = None, config_id: typing.Optional[str] = None, session_id: typing.Optional[str] = None, dataset_run_id: typing.Optional[str] = None, trace_id: typing.Optional[str] = None, observation_id: typing.Optional[str] = None, queue_id: typing.Optional[str] = None, data_type: typing.Optional[ScoreDataType] = None, trace_tags: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None, fields: typing.Optional[str] = None, filter: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[GetScoresResponse]: """ **Deprecated.** Use `GET /api/public/v3/scores` instead. This endpoint is no longer available on Langfuse v4 and later. Get a list of scores (supports both trace and session scores) Parameters ---------- page : typing.Optional[int] Page number, starts at 1. limit : typing.Optional[int] Limit of items per page. Maximum 100. Defaults to 50. Requests with a limit greater than 100 return HTTP 400. If you encounter api issues due to too large page sizes, try to reduce the limit. user_id : typing.Optional[str] Retrieve only scores with this userId associated to the trace. name : typing.Optional[str] Retrieve only scores with this name. from_timestamp : typing.Optional[dt.datetime] Optional filter to only include scores created on or after a certain datetime (ISO 8601) to_timestamp : typing.Optional[dt.datetime] Optional filter to only include scores created before a certain datetime (ISO 8601) environment : typing.Optional[typing.Union[str, typing.Sequence[str]]] Optional filter for scores where the environment is one of the provided values. source : typing.Optional[ScoreSource] Retrieve only scores from a specific source. operator : typing.Optional[str] Retrieve only scores with value. value : typing.Optional[float] Retrieve only scores with value. score_ids : typing.Optional[str] Comma-separated list of score IDs to limit the results to. config_id : typing.Optional[str] Retrieve only scores with a specific configId. session_id : typing.Optional[str] Retrieve only scores with a specific sessionId. dataset_run_id : typing.Optional[str] Retrieve only scores with a specific datasetRunId. trace_id : typing.Optional[str] Retrieve only scores with a specific traceId. observation_id : typing.Optional[str] Comma-separated list of observation IDs to filter scores by. queue_id : typing.Optional[str] Retrieve only scores with a specific annotation queueId. data_type : typing.Optional[ScoreDataType] Retrieve only scores with a specific dataType. trace_tags : typing.Optional[typing.Union[str, typing.Sequence[str]]] Only scores linked to traces that include all of these tags will be returned. fields : typing.Optional[str] Comma-separated list of field groups to include in the response. Available field groups: 'score' (core score fields), 'trace' (trace properties: userId, tags, environment, sessionId). If not specified, both 'score' and 'trace' are returned by default. Example: 'score' to exclude trace data, 'score,trace' to include both. Note: When filtering by trace properties (using userId or traceTags parameters), the 'trace' field group must be included, otherwise a 400 error will be returned. filter : typing.Optional[str] A JSON stringified array of filter objects. Each object requires type, column, operator, and value. Supports filtering by score metadata using the stringObject type. Example: [{"type":"stringObject","column":"metadata","key":"user_id","operator":"=","value":"abc123"}]. Supported types: stringObject (metadata key-value filtering), string, number, datetime, stringOptions, arrayOptions. Supported operators for stringObject: =, contains, does not contain, starts with, ends with. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[GetScoresResponse] """ _response = await self._client_wrapper.httpx_client.request( "api/public/v2/scores", method="GET", params={ "page": page, "limit": limit, "userId": user_id, "name": name, "fromTimestamp": serialize_datetime(from_timestamp) if from_timestamp is not None else None, "toTimestamp": serialize_datetime(to_timestamp) if to_timestamp is not None else None, "environment": environment, "source": source, "operator": operator, "value": value, "scoreIds": score_ids, "configId": config_id, "sessionId": session_id, "datasetRunId": dataset_run_id, "traceId": trace_id, "observationId": observation_id, "queueId": queue_id, "dataType": data_type, "traceTags": trace_tags, "fields": fields, "filter": filter, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( GetScoresResponse, parse_obj_as( type_=GetScoresResponse, # 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 get_by_id( self, score_id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> AsyncHttpResponse[Score]: """ **Deprecated.** Use `GET /api/public/v3/scores` with the `id` filter instead. This endpoint is no longer available on Langfuse v4 and later. Get a score (supports both trace and session scores) Parameters ---------- score_id : str The unique langfuse identifier of a score request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[Score] """ _response = await self._client_wrapper.httpx_client.request( f"api/public/v2/scores/{jsonable_encoder(score_id)}", method="GET", request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( Score, parse_obj_as( type_=Score, # 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, )