# This file was auto-generated by Fern from our API Definition. import contextlib import typing from json.decoder import JSONDecodeError from ..core.api_error import ApiError from ..core.client_wrapper import AsyncClientWrapper, SyncClientWrapper 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 ..errors.unprocessable_entity_error import UnprocessableEntityError from ..types.create_tts_out import CreateTtsOut from ..types.gender import Gender from ..types.http_validation_error import HttpValidationError from ..types.languages import Languages from ..types.orchestrator_pipeline_result import OrchestratorPipelineResult from ..types.stream_tts_inference_options import StreamTtsInferenceOptions from ..types.stream_tts_output_configuration import StreamTtsOutputConfiguration from ..types.stream_tts_voice_settings import StreamTtsVoiceSettings from .baseten import async_baseten_tts, baseten_tts from .types.create_stream_tts_request_payload_language import CreateStreamTtsRequestPayloadLanguage from .types.create_stream_tts_request_payload_speech_model import CreateStreamTtsRequestPayloadSpeechModel from .types.get_tts_results_tts_results_post_response_value import GetTtsResultsTtsResultsPostResponseValue from .types.get_tts_run_info_tts_result_run_id_get_response import GetTtsRunInfoTtsResultRunIdGetResponse # this is used as the default value for optional parameters OMIT = typing.cast(typing.Any, ...) class RawTextToSpeechClient: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper @contextlib.contextmanager def tts( self, *, text: str, language: CreateStreamTtsRequestPayloadLanguage, voice_id: typing.Optional[int] = OMIT, speech_model: typing.Optional[CreateStreamTtsRequestPayloadSpeechModel] = OMIT, user_instructions: typing.Optional[str] = OMIT, enhance_named_entities_pronunciation: typing.Optional[bool] = OMIT, output_configuration: typing.Optional[StreamTtsOutputConfiguration] = OMIT, voice_settings: typing.Optional[StreamTtsVoiceSettings] = OMIT, inference_options: typing.Optional[StreamTtsInferenceOptions] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> typing.Iterator[HttpResponse[typing.Iterator[bytes]]]: """ Parameters ---------- text : str language : CreateStreamTtsRequestPayloadLanguage voice_id : int speech_model : typing.Optional[CreateStreamTtsRequestPayloadSpeechModel] user_instructions : typing.Optional[str] enhance_named_entities_pronunciation : typing.Optional[bool] output_configuration : typing.Optional[StreamTtsOutputConfiguration] voice_settings : typing.Optional[StreamTtsVoiceSettings] inference_options : typing.Optional[StreamTtsInferenceOptions] request_options : typing.Optional[RequestOptions] Request-specific configuration. You can pass in configuration such as `chunk_size`, and more to customize the request and response. Returns ------- typing.Iterator[HttpResponse[typing.Iterator[bytes]]] Streaming audio response """ if self._client_wrapper.tts_provider is None and (voice_id is OMIT or voice_id is None): raise ValueError("voice_id is required when using the default Camb.ai provider.") if self._client_wrapper.tts_provider == "baseten": if speech_model == "mars-flash": with baseten_tts( self._client_wrapper, text=text, language=language, voice_id=voice_id, speech_model=speech_model, user_instructions=user_instructions, enhance_named_entities_pronunciation=enhance_named_entities_pronunciation, output_configuration=output_configuration, voice_settings=voice_settings, inference_options=inference_options, request_options=request_options, ) as r: yield r return else: raise ValueError(f"{self._client_wrapper.tts_provider} provider can only be used with 'mars-pro' speech model.") with self._client_wrapper.httpx_client.stream( "tts-stream", method="POST", json={ "text": text, "language": language, "voice_id": voice_id, "speech_model": speech_model, "user_instructions": user_instructions, "enhance_named_entities_pronunciation": enhance_named_entities_pronunciation, "output_configuration": convert_and_respect_annotation_metadata( object_=output_configuration, annotation=StreamTtsOutputConfiguration, direction="write" ), "voice_settings": convert_and_respect_annotation_metadata( object_=voice_settings, annotation=StreamTtsVoiceSettings, direction="write" ), "inference_options": convert_and_respect_annotation_metadata( object_=inference_options, annotation=StreamTtsInferenceOptions, direction="write" ), }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) as _response: def _stream() -> HttpResponse[typing.Iterator[bytes]]: try: if 200 <= _response.status_code < 300: _chunk_size = request_options.get("chunk_size", None) if request_options is not None else None return HttpResponse( response=_response, data=(_chunk for _chunk in _response.iter_bytes(chunk_size=_chunk_size)) ) _response.read() if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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) yield _stream() def create_tts( self, *, text: str, voice_id: int, language: Languages, run_id: typing.Optional[int] = None, project_name: typing.Optional[str] = OMIT, project_description: typing.Optional[str] = OMIT, folder_id: typing.Optional[int] = OMIT, gender: typing.Optional[Gender] = OMIT, age: typing.Optional[int] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[CreateTtsOut]: """ Parameters ---------- text : str voice_id : int language : Languages run_id : typing.Optional[int] project_name : typing.Optional[str] project_description : typing.Optional[str] folder_id : typing.Optional[int] gender : typing.Optional[Gender] age : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[CreateTtsOut] Successful Response """ _response = self._client_wrapper.httpx_client.request( "tts", method="POST", params={ "run_id": run_id, }, json={ "project_name": project_name, "project_description": project_description, "folder_id": folder_id, "text": text, "voice_id": voice_id, "language": language, "gender": gender, "age": age, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( CreateTtsOut, parse_obj_as( type_=CreateTtsOut, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_result( self, task_id: str, *, run_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[OrchestratorPipelineResult]: """ Parameters ---------- task_id : str run_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[OrchestratorPipelineResult] Successful Response """ _response = self._client_wrapper.httpx_client.request( f"tts/{jsonable_encoder(task_id)}", method="GET", params={ "run_id": run_id, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( OrchestratorPipelineResult, parse_obj_as( type_=OrchestratorPipelineResult, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_run_info( self, run_id: typing.Optional[int], *, output_type: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[GetTtsRunInfoTtsResultRunIdGetResponse]: """ Retrieves the result of a Text To Speech (TTS) run. This endpoint validates the provided `run_id` and fetches the corresponding TTS-generated audio. The user must have valid access to the run. The function supports two output formats: - `RAW_BYTES`: Streams the audio file directly. - `FILE_URL`: Returns a pre-signed URL to download the audio file. Args: run_id (int): Unique identifier for the TTS run. api_key_obj (dict): API key object used for authentication and storage preferences. traceparent (Optional[str]): Traceparent header for distributed tracing. output_type (OutputType, optional): Determines the output format. Defaults to `RAW_BYTES`. Returns: StreamingResponse | GetTTSOut: - If `output_type = RAW_BYTES`: A streaming response containing the TTS-generated audio in FLAC format. - If `output_type = FILE_URL`: A URL pointing to the stored TTS-generated audio file. Raises: HTTPException: - 400 BAD REQUEST if the run ID is invalid or does not belong to a TTS process. - 500 INTERNAL SERVER ERROR if fetching or streaming the audio fails. Assumptions: - The user has valid access to the `run_id`. - The `run_id` corresponds to a valid TTS run. - There is only **one** dialogue associated with the given `run_id`. Parameters ---------- run_id : typing.Optional[int] output_type : typing.Optional[str] Output format for the Text To Speech result request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[GetTtsRunInfoTtsResultRunIdGetResponse] Successful Response """ _response = self._client_wrapper.httpx_client.request( f"tts-result/{jsonable_encoder(run_id)}", method="GET", params={ "output_type": output_type, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( GetTtsRunInfoTtsResultRunIdGetResponse, parse_obj_as( type_=GetTtsRunInfoTtsResultRunIdGetResponse, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_results( self, *, run_ids: typing.Sequence[int], run_id: typing.Optional[int] = None, traceparent: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue]]: """ Parameters ---------- run_ids : typing.Sequence[int] run_id : typing.Optional[int] traceparent : typing.Optional[str] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue]] Successful Response """ _response = self._client_wrapper.httpx_client.request( "tts-results", method="POST", params={ "run_id": run_id, }, json={ "run_ids": run_ids, }, headers={ "content-type": "application/json", "traceparent": str(traceparent) if traceparent is not None else None, }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue], parse_obj_as( type_=typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue], # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_result_discord( self, task_id: str, *, run_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[OrchestratorPipelineResult]: """ Parameters ---------- task_id : str run_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[OrchestratorPipelineResult] Successful Response """ _response = self._client_wrapper.httpx_client.request( f"discord/tts/{jsonable_encoder(task_id)}", method="GET", params={ "run_id": run_id, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( OrchestratorPipelineResult, parse_obj_as( type_=OrchestratorPipelineResult, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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 AsyncRawTextToSpeechClient: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper @contextlib.asynccontextmanager async def tts( self, *, text: str, language: CreateStreamTtsRequestPayloadLanguage, voice_id: typing.Optional[int] = OMIT, speech_model: typing.Optional[CreateStreamTtsRequestPayloadSpeechModel] = OMIT, user_instructions: typing.Optional[str] = OMIT, enhance_named_entities_pronunciation: typing.Optional[bool] = OMIT, output_configuration: typing.Optional[StreamTtsOutputConfiguration] = OMIT, voice_settings: typing.Optional[StreamTtsVoiceSettings] = OMIT, inference_options: typing.Optional[StreamTtsInferenceOptions] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> typing.AsyncIterator[AsyncHttpResponse[typing.AsyncIterator[bytes]]]: """ Parameters ---------- text : str language : CreateStreamTtsRequestPayloadLanguage voice_id : int speech_model : typing.Optional[CreateStreamTtsRequestPayloadSpeechModel] user_instructions : typing.Optional[str] enhance_named_entities_pronunciation : typing.Optional[bool] output_configuration : typing.Optional[StreamTtsOutputConfiguration] voice_settings : typing.Optional[StreamTtsVoiceSettings] inference_options : typing.Optional[StreamTtsInferenceOptions] request_options : typing.Optional[RequestOptions] Request-specific configuration. You can pass in configuration such as `chunk_size`, and more to customize the request and response. Returns ------- typing.AsyncIterator[AsyncHttpResponse[typing.AsyncIterator[bytes]]] Streaming audio response """ if self._client_wrapper.tts_provider is None and (voice_id is OMIT or voice_id is None): raise ValueError("voice_id is required when using the default Camb.ai provider.") if self._client_wrapper.tts_provider == "baseten": if speech_model == "mars-flash": async with async_baseten_tts( self._client_wrapper, text=text, language=language, voice_id=voice_id, speech_model=speech_model, user_instructions=user_instructions, enhance_named_entities_pronunciation=enhance_named_entities_pronunciation, output_configuration=output_configuration, voice_settings=voice_settings, inference_options=inference_options, request_options=request_options, ) as r: yield r return else: raise ValueError("Baseten provider can only be used with 'mars-pro' speech model.") async with self._client_wrapper.httpx_client.stream( "tts-stream", method="POST", json={ "text": text, "language": language, "voice_id": voice_id, "speech_model": speech_model, "user_instructions": user_instructions, "enhance_named_entities_pronunciation": enhance_named_entities_pronunciation, "output_configuration": convert_and_respect_annotation_metadata( object_=output_configuration, annotation=StreamTtsOutputConfiguration, direction="write" ), "voice_settings": convert_and_respect_annotation_metadata( object_=voice_settings, annotation=StreamTtsVoiceSettings, direction="write" ), "inference_options": convert_and_respect_annotation_metadata( object_=inference_options, annotation=StreamTtsInferenceOptions, direction="write" ), }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) as _response: async def _stream() -> AsyncHttpResponse[typing.AsyncIterator[bytes]]: try: if 200 <= _response.status_code < 300: _chunk_size = request_options.get("chunk_size", None) if request_options is not None else None return AsyncHttpResponse( response=_response, data=(_chunk async for _chunk in _response.aiter_bytes(chunk_size=_chunk_size)), ) await _response.aread() if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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) yield await _stream() async def create_tts( self, *, text: str, voice_id: int, language: Languages, run_id: typing.Optional[int] = None, project_name: typing.Optional[str] = OMIT, project_description: typing.Optional[str] = OMIT, folder_id: typing.Optional[int] = OMIT, gender: typing.Optional[Gender] = OMIT, age: typing.Optional[int] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[CreateTtsOut]: """ Parameters ---------- text : str voice_id : int language : Languages run_id : typing.Optional[int] project_name : typing.Optional[str] project_description : typing.Optional[str] folder_id : typing.Optional[int] gender : typing.Optional[Gender] age : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[CreateTtsOut] Successful Response """ _response = await self._client_wrapper.httpx_client.request( "tts", method="POST", params={ "run_id": run_id, }, json={ "project_name": project_name, "project_description": project_description, "folder_id": folder_id, "text": text, "voice_id": voice_id, "language": language, "gender": gender, "age": age, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( CreateTtsOut, parse_obj_as( type_=CreateTtsOut, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_result( self, task_id: str, *, run_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[OrchestratorPipelineResult]: """ Parameters ---------- task_id : str run_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[OrchestratorPipelineResult] Successful Response """ _response = await self._client_wrapper.httpx_client.request( f"tts/{jsonable_encoder(task_id)}", method="GET", params={ "run_id": run_id, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( OrchestratorPipelineResult, parse_obj_as( type_=OrchestratorPipelineResult, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_run_info( self, run_id: typing.Optional[int], *, output_type: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[GetTtsRunInfoTtsResultRunIdGetResponse]: """ Retrieves the result of a Text To Speech (TTS) run. This endpoint validates the provided `run_id` and fetches the corresponding TTS-generated audio. The user must have valid access to the run. The function supports two output formats: - `RAW_BYTES`: Streams the audio file directly. - `FILE_URL`: Returns a pre-signed URL to download the audio file. Args: run_id (int): Unique identifier for the TTS run. api_key_obj (dict): API key object used for authentication and storage preferences. traceparent (Optional[str]): Traceparent header for distributed tracing. output_type (OutputType, optional): Determines the output format. Defaults to `RAW_BYTES`. Returns: StreamingResponse | GetTTSOut: - If `output_type = RAW_BYTES`: A streaming response containing the TTS-generated audio in FLAC format. - If `output_type = FILE_URL`: A URL pointing to the stored TTS-generated audio file. Raises: HTTPException: - 400 BAD REQUEST if the run ID is invalid or does not belong to a TTS process. - 500 INTERNAL SERVER ERROR if fetching or streaming the audio fails. Assumptions: - The user has valid access to the `run_id`. - The `run_id` corresponds to a valid TTS run. - There is only **one** dialogue associated with the given `run_id`. Parameters ---------- run_id : typing.Optional[int] output_type : typing.Optional[str] Output format for the Text To Speech result request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[GetTtsRunInfoTtsResultRunIdGetResponse] Successful Response """ _response = await self._client_wrapper.httpx_client.request( f"tts-result/{jsonable_encoder(run_id)}", method="GET", params={ "output_type": output_type, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( GetTtsRunInfoTtsResultRunIdGetResponse, parse_obj_as( type_=GetTtsRunInfoTtsResultRunIdGetResponse, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_results( self, *, run_ids: typing.Sequence[int], run_id: typing.Optional[int] = None, traceparent: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue]]: """ Parameters ---------- run_ids : typing.Sequence[int] run_id : typing.Optional[int] traceparent : typing.Optional[str] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue]] Successful Response """ _response = await self._client_wrapper.httpx_client.request( "tts-results", method="POST", params={ "run_id": run_id, }, json={ "run_ids": run_ids, }, headers={ "content-type": "application/json", "traceparent": str(traceparent) if traceparent is not None else None, }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue], parse_obj_as( type_=typing.Dict[str, GetTtsResultsTtsResultsPostResponseValue], # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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_tts_result_discord( self, task_id: str, *, run_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[OrchestratorPipelineResult]: """ Parameters ---------- task_id : str run_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[OrchestratorPipelineResult] Successful Response """ _response = await self._client_wrapper.httpx_client.request( f"discord/tts/{jsonable_encoder(task_id)}", method="GET", params={ "run_id": run_id, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( OrchestratorPipelineResult, parse_obj_as( type_=OrchestratorPipelineResult, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, parse_obj_as( type_=HttpValidationError, # 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)