o i3@sddlZddlmZddlmZddlmZmZddlm Z m Z ddl m Z ddl mZdd lmZdd lmZdd lmZdd lmZd dlmZd dlmZd dlmZd dlmZeej dZ!GdddZ"GdddZ#dS)N)JSONDecodeError)ApiError)AsyncClientWrapperSyncClientWrapper)AsyncHttpResponse HttpResponse)RequestOptions)'convert_and_respect_annotation_metadata)construct_type)BadRequestError)ReadV1RequestParams)ReadV1Response) TextAnalyzeRequestCallbackMethod)"TextAnalyzeRequestCustomIntentMode)!TextAnalyzeRequestCustomTopicMode)TextAnalyzeRequestSummarize.c @eZdZdefddZdddddddddddddd dedejedeje d eje d eje d ejej eej efd eje d ejej eej efdejedeje dejej eej efdejedejedejedeefddZdS) RawTextClientclient_wrappercC ||_dSN_client_wrapperselfrrT/home/ubuntu/.local/lib/python3.10/site-packages/deepgram/read/v1/text/raw_client.py__init__ zRawTextClient.__init__N callbackcallback_method sentiment summarizetagtopics custom_topiccustom_topic_modeintents custom_intentcustom_intent_modelanguagerequest_optionsrequestr"r#r$r%r&r'r(r)r*r+r,r-r.returncCs |jjjd|jjd|||||||| | | | | d t|tddddi|td}z@d |jkr3d krHnnt t t t | d }t||d WS|jd krbtt|jt t jt t j| d d| }Wntyzt|jt|j|jdwt|jt|j|d)aI Analyze text content using Deepgrams text analysis API Parameters ---------- request : ReadV1RequestParams callback : typing.Optional[str] URL to which we'll make the callback request callback_method : typing.Optional[TextAnalyzeRequestCallbackMethod] HTTP method by which the callback request will be made sentiment : typing.Optional[bool] Recognizes the sentiment throughout a transcript or text summarize : typing.Optional[TextAnalyzeRequestSummarize] Summarize content. For Listen API, supports string version option. For Read API, accepts boolean only. tag : typing.Optional[typing.Union[str, typing.Sequence[str]]] Label your requests for the purpose of identification during usage reporting topics : typing.Optional[bool] Detect topics throughout a transcript or text custom_topic : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom topics you want the model to detect within your input audio or text if present Submit up to `100`. custom_topic_mode : typing.Optional[TextAnalyzeRequestCustomTopicMode] Sets how the model will interpret strings submitted to the `custom_topic` param. When `strict`, the model will only return topics submitted using the `custom_topic` param. When `extended`, the model will return its own detected topics in addition to those submitted using the `custom_topic` param intents : typing.Optional[bool] Recognizes speaker intent throughout a transcript or text custom_intent : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom intents you want the model to detect within your input audio if present custom_intent_mode : typing.Optional[TextAnalyzeRequestCustomIntentMode] Sets how the model will interpret intents submitted to the `custom_intent` param. When `strict`, the model will only return intents submitted using the `custom_intent` param. When `extended`, the model will return its own detected intents in the `custom_intent` param. language : typing.Optional[str] The [BCP-47 language tag](https://tools.ietf.org/html/bcp47) that hints at the primary spoken language. Depending on the Model and API endpoint you choose only certain languages are available request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[ReadV1Response] Successful text analysis v1/readPOST r"r#r$r%r&r'r(r)r*r+r,r-writeobject_ annotation direction content-typeapplication/jsonbase_urlmethodparamsjsonheadersr.omit,type_r6responsedatar@body status_coder@rK)r httpx_clientr/get_environmentbaser r OMITrMtypingcastrr r?rr dictr@Anyrrtextrr/r"r#r$r%r&r'r(r)r*r+r,r-r. _response_data_response_jsonrrranalyzesfE   zRawTextClient.analyze)__name__ __module__ __qualname__rrr rROptionalstrrboolrUnionSequencerrr rrr[rrrrr\     rc @r)AsyncRawTextClientrcCrrrrrrrrr zAsyncRawTextClient.__init__Nr!r/r"r#r$r%r&r'r(r)r*r+r,r-r.r0cs|jjjd|jjd|||||||| | | | | d t|tddddi|tdId H}z@d |jkr7d krLnnt t t t | d }t||d WS|jdkrftt|jt t jt t j| d d| }Wnty~t|jt|j|jdwt|jt|j|d)aN Analyze text content using Deepgrams text analysis API Parameters ---------- request : ReadV1RequestParams callback : typing.Optional[str] URL to which we'll make the callback request callback_method : typing.Optional[TextAnalyzeRequestCallbackMethod] HTTP method by which the callback request will be made sentiment : typing.Optional[bool] Recognizes the sentiment throughout a transcript or text summarize : typing.Optional[TextAnalyzeRequestSummarize] Summarize content. For Listen API, supports string version option. For Read API, accepts boolean only. tag : typing.Optional[typing.Union[str, typing.Sequence[str]]] Label your requests for the purpose of identification during usage reporting topics : typing.Optional[bool] Detect topics throughout a transcript or text custom_topic : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom topics you want the model to detect within your input audio or text if present Submit up to `100`. custom_topic_mode : typing.Optional[TextAnalyzeRequestCustomTopicMode] Sets how the model will interpret strings submitted to the `custom_topic` param. When `strict`, the model will only return topics submitted using the `custom_topic` param. When `extended`, the model will return its own detected topics in addition to those submitted using the `custom_topic` param intents : typing.Optional[bool] Recognizes speaker intent throughout a transcript or text custom_intent : typing.Optional[typing.Union[str, typing.Sequence[str]]] Custom intents you want the model to detect within your input audio if present custom_intent_mode : typing.Optional[TextAnalyzeRequestCustomIntentMode] Sets how the model will interpret intents submitted to the `custom_intent` param. When `strict`, the model will only return intents submitted using the `custom_intent` param. When `extended`, the model will return its own detected intents in the `custom_intent` param. language : typing.Optional[str] The [BCP-47 language tag](https://tools.ietf.org/html/bcp47) that hints at the primary spoken language. Depending on the Model and API endpoint you choose only certain languages are available request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[ReadV1Response] Successful text analysis r1r2r3r4r5r9r:r;NrBrCrDrFrIrJrL)rrNr/rOrPr r rQrMrRrSrr r?rr rTr@rUrrrVrWrrrr[shE    zAsyncRawTextClient.analyze)r\r]r^rrr rRr_r`rrarrbrcrrr rrr[rrrrrerdre)$rR json.decoderrcore.api_errorrcore.client_wrapperrrcore.http_responserrcore.request_optionsr core.serializationr core.unchecked_base_modelr errors.bad_request_errorr requests.read_v1requestr types.read_v1responser*types.text_analyze_request_callback_methodr-types.text_analyze_request_custom_intent_moder,types.text_analyze_request_custom_topic_moder$types.text_analyze_request_summarizerrSrUrQrrerrrrs$