# This file was auto-generated by Fern from our API Definition. 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.bad_request_error import BadRequestError from ..errors.forbidden_error import ForbiddenError from ..errors.internal_server_error import InternalServerError from ..errors.service_unavailable_error import ServiceUnavailableError from ..errors.too_many_requests_error import TooManyRequestsError from ..errors.unprocessable_entity_error import UnprocessableEntityError from ..requests.bulk_job_callback import BulkJobCallbackParams from ..requests.speech_to_text_translate_job_parameters import SpeechToTextTranslateJobParametersParams from ..types.bulk_job_init_response_v_1 import BulkJobInitResponseV1 from ..types.files_download_response import FilesDownloadResponse from ..types.files_upload_response import FilesUploadResponse from ..types.job_status_v_1_response import JobStatusV1Response # this is used as the default value for optional parameters OMIT = typing.cast(typing.Any, ...) class RawSpeechToTextTranslateJobClient: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper def initialise( self, *, job_parameters: SpeechToTextTranslateJobParametersParams, ptu_id: typing.Optional[int] = None, callback: typing.Optional[BulkJobCallbackParams] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[BulkJobInitResponseV1]: """ Create a new speech to text translate bulk job and receive a job UUID and storage folder details for processing multiple audio files with translation Parameters ---------- job_parameters : SpeechToTextTranslateJobParametersParams Job Parameters for the bulk job ptu_id : typing.Optional[int] callback : typing.Optional[BulkJobCallbackParams] Parameters for callback URL request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[BulkJobInitResponseV1] Successful Response """ _response = self._client_wrapper.httpx_client.request( "speech-to-text-translate/job/v1", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, json={ "job_parameters": convert_and_respect_annotation_metadata( object_=job_parameters, annotation=SpeechToTextTranslateJobParametersParams, direction="write" ), "callback": convert_and_respect_annotation_metadata( object_=callback, annotation=BulkJobCallbackParams, direction="write" ), }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( BulkJobInitResponseV1, parse_obj_as( type_=BulkJobInitResponseV1, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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_status( self, job_id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> HttpResponse[JobStatusV1Response]: """ Retrieve the current status and details of a speech to text translate bulk job, including progress and file-level information. **Rate Limiting Best Practice:** To prevent rate limit errors and ensure optimal server performance, we recommend implementing a minimum 5-millisecond delay between consecutive status polling requests. This helps maintain system stability while still providing timely status updates. Parameters ---------- job_id : str The unique identifier of the job request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[JobStatusV1Response] Successful Response """ _response = self._client_wrapper.httpx_client.request( f"speech-to-text-translate/job/v1/{jsonable_encoder(job_id)}/status", base_url=self._client_wrapper.get_environment().base, method="GET", request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( JobStatusV1Response, parse_obj_as( type_=JobStatusV1Response, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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 start( self, job_id: str, *, ptu_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[JobStatusV1Response]: """ Start processing a speech to text translate bulk job after all audio files have been uploaded Parameters ---------- job_id : str The unique identifier of the job ptu_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[JobStatusV1Response] Successful Response """ _response = self._client_wrapper.httpx_client.request( f"speech-to-text-translate/job/v1/{jsonable_encoder(job_id)}/start", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( JobStatusV1Response, parse_obj_as( type_=JobStatusV1Response, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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_upload_links( self, *, job_id: str, files: typing.Sequence[str], ptu_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[FilesUploadResponse]: """ Generate presigned upload URLs for audio files that will be processed in a speech to text translate bulk job Parameters ---------- job_id : str files : typing.Sequence[str] ptu_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[FilesUploadResponse] Successful Response """ _response = self._client_wrapper.httpx_client.request( "speech-to-text-translate/job/v1/upload-files", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, json={ "job_id": job_id, "files": files, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( FilesUploadResponse, parse_obj_as( type_=FilesUploadResponse, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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_download_links( self, *, job_id: str, files: typing.Sequence[str], ptu_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[FilesDownloadResponse]: """ Generate presigned download URLs for the translated transcription output files of a completed speech to text translate bulk job Parameters ---------- job_id : str files : typing.Sequence[str] ptu_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[FilesDownloadResponse] Successful Response """ _response = self._client_wrapper.httpx_client.request( "speech-to-text-translate/job/v1/download-files", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, json={ "job_id": job_id, "files": files, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( FilesDownloadResponse, parse_obj_as( type_=FilesDownloadResponse, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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 AsyncRawSpeechToTextTranslateJobClient: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper async def initialise( self, *, job_parameters: SpeechToTextTranslateJobParametersParams, ptu_id: typing.Optional[int] = None, callback: typing.Optional[BulkJobCallbackParams] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[BulkJobInitResponseV1]: """ Create a new speech to text translate bulk job and receive a job UUID and storage folder details for processing multiple audio files with translation Parameters ---------- job_parameters : SpeechToTextTranslateJobParametersParams Job Parameters for the bulk job ptu_id : typing.Optional[int] callback : typing.Optional[BulkJobCallbackParams] Parameters for callback URL request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[BulkJobInitResponseV1] Successful Response """ _response = await self._client_wrapper.httpx_client.request( "speech-to-text-translate/job/v1", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, json={ "job_parameters": convert_and_respect_annotation_metadata( object_=job_parameters, annotation=SpeechToTextTranslateJobParametersParams, direction="write" ), "callback": convert_and_respect_annotation_metadata( object_=callback, annotation=BulkJobCallbackParams, direction="write" ), }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( BulkJobInitResponseV1, parse_obj_as( type_=BulkJobInitResponseV1, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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_status( self, job_id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> AsyncHttpResponse[JobStatusV1Response]: """ Retrieve the current status and details of a speech to text translate bulk job, including progress and file-level information. **Rate Limiting Best Practice:** To prevent rate limit errors and ensure optimal server performance, we recommend implementing a minimum 5-millisecond delay between consecutive status polling requests. This helps maintain system stability while still providing timely status updates. Parameters ---------- job_id : str The unique identifier of the job request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[JobStatusV1Response] Successful Response """ _response = await self._client_wrapper.httpx_client.request( f"speech-to-text-translate/job/v1/{jsonable_encoder(job_id)}/status", base_url=self._client_wrapper.get_environment().base, method="GET", request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( JobStatusV1Response, parse_obj_as( type_=JobStatusV1Response, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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 start( self, job_id: str, *, ptu_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[JobStatusV1Response]: """ Start processing a speech to text translate bulk job after all audio files have been uploaded Parameters ---------- job_id : str The unique identifier of the job ptu_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[JobStatusV1Response] Successful Response """ _response = await self._client_wrapper.httpx_client.request( f"speech-to-text-translate/job/v1/{jsonable_encoder(job_id)}/start", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( JobStatusV1Response, parse_obj_as( type_=JobStatusV1Response, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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_upload_links( self, *, job_id: str, files: typing.Sequence[str], ptu_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[FilesUploadResponse]: """ Generate presigned upload URLs for audio files that will be processed in a speech to text translate bulk job Parameters ---------- job_id : str files : typing.Sequence[str] ptu_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[FilesUploadResponse] Successful Response """ _response = await self._client_wrapper.httpx_client.request( "speech-to-text-translate/job/v1/upload-files", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, json={ "job_id": job_id, "files": files, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( FilesUploadResponse, parse_obj_as( type_=FilesUploadResponse, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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_download_links( self, *, job_id: str, files: typing.Sequence[str], ptu_id: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[FilesDownloadResponse]: """ Generate presigned download URLs for the translated transcription output files of a completed speech to text translate bulk job Parameters ---------- job_id : str files : typing.Sequence[str] ptu_id : typing.Optional[int] request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[FilesDownloadResponse] Successful Response """ _response = await self._client_wrapper.httpx_client.request( "speech-to-text-translate/job/v1/download-files", base_url=self._client_wrapper.get_environment().base, method="POST", params={ "ptu_id": ptu_id, }, json={ "job_id": job_id, "files": files, }, headers={ "content-type": "application/json", }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( FilesDownloadResponse, parse_obj_as( type_=FilesDownloadResponse, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise BadRequestError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise ForbiddenError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 429: raise TooManyRequestsError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 500: raise InternalServerError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[typing.Any], # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 503: raise ServiceUnavailableError( headers=dict(_response.headers), body=typing.cast( typing.Optional[typing.Any], parse_obj_as( type_=typing.Optional[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)