]jddlZddlmZddlmZddlmZmZddlm Z m Z ddl m Z ddl mZdd lmZdd lmZdd lmZd d lmZd dlmZd dlmZej6ej8dZGddZGddZy)N)JSONDecodeError)ApiError)AsyncClientWrapperSyncClientWrapper)AsyncHttpResponse HttpResponse)jsonable_encoder)RequestOptions)construct_type)InternalServerError) MlBackend)CreateMlRequestAuthMethod)ListModelVersionsMlResponse)UpdateMlRequestAuthMethod.ceZdZdefdZddddej edej ede eje fdZ e e e e e e e e e e dd d ej ed ej ed ej ed ej edej ej eej"fdej edej edej edej edej edej ede e fdZdddedej ede e fdZdddedej ede dfdZe e e e e e e e e e dd ded ej ed ej ed ej ed ej edej ej eej"fdej edej edej edej edej edej ede e fdZe dddededej ej"dej ede df dZddddedej edej ede dfdZe dd ded!ej edej ede dfd"Zdddedej ede efd#Zy)$ RawMlClientclient_wrapperc||_yN_client_wrapperselfrs H/root/env/lib/python3.12/site-packages/label_studio_sdk/ml/raw_client.py__init__zRawMlClient.__init__ -Nprojectrequest_optionsr!r"returncP|jjjddd|i|} d|jcxkrdkrinnft j tj tttj t|j}t||S|j}t|jt|j| #t$r6t|jt|j|j wxYw) a List all configured ML backends for a specific project by ID. Use the following cURL command: ```bash curl http://localhost:8000/api/ml?project={project_id} -H 'Authorization: Token abc123' Parameters ---------- project : typing.Optional[int] Project ID request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[typing.List[MlBackend]] api/ml/GETr!methodparamsr",type_object_responsedata status_codeheadersbody)r httpx_clientrequestr3typingcastListrr jsonr rrdictr4textrr!r" _response_data_response_jsons rlistzRawMlClient.lists0((55== 7, >  ti++1c1 KK *"$kk)4 ) 0$YUCC&^^-N9#8#8$yGXGXBY`noo ty'<' * ti++1c1 "' ) 0$YUCC&^^-N9#8#8$yGXGXBY`noo ty'<' ti++1c1 "' ) 0$YUCC&^^-N9#8#8$yGXGXBY`noo ty'<'  ti++1c1#YTBB&^^-N9#8#8$yGXGXBY`noo ty'<' * ti++1c1 "' ) 0$YUCC&^^-N9#8#8$yGXGXBY`noo ty'<'   ti++1c1#YTBB&^^-N9#8#8$yGXGXBY`noo ty'<' Label Studio Enterprise badge

This endpoint is not available in Label Studio Community Edition. [Learn more about Label Studio Enterprise](https://humansignal.com/goenterprise)

Create predictions for all tasks using a specific ML backend so that you can set up an active learning strategy based on the confidence or uncertainty scores associated with the predictions. Creating predictions requires a Label Studio ML backend set up and configured for your project. See [Set up machine learning](https://labelstud.io/guide/ml.html) for more details about a Label Studio ML backend. Reference the ML backend ID in the path of this API call. Get the ML backend ID by [listing the ML backends for a project](https://labelstud.io/api/#operation/api_ml_list). Parameters ---------- id : int A unique integer value identifying this ML backend. batch_size : typing.Optional[int] Computed number of tasks without predictions that the ML backend needs to predict. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[None] r%/predictrNror'r*r+Nr/r2r_rrXror"r?rAs rpredict_all_taskszRawMlClient.predict_all_taskssJ((55==&r*+8 4j, >  ti++1c1#YTBB&^^-N9#8#8$yGXGXBY`noo ty'<'   ti++1c1#YTBB$$+) !2!23 &"(**$-NN$4  '^^-N9#8#8$yGXGXBY`noo ty'<' ti++1c1 /"9 ) 0$YUCC&^^-N9#8#8$yGXGXBY`noo ty'<'?bp - bp  - bp __S) bpoofkk#vzz/&BCbp-bp%bp%bps#bp__S !bp 8bp i bpHRV'pc'pv~/N'pZfgpZq'pRUYpp&//.2Qp]ijn]opJCG0404,0FJ04(,(,&*$(;?dp dp__%>? dp  - dp  - dp__S)dpoofkk#vzz/&BCdp-dp%dp%dps#dp__S !dp 8dp i dpV04;? 4p 4p 4p , 4p  8 4p d 4pt,0;? 3p 3pOOC( 3p  8 3p d  3pr37;? ;p ;p!//$/ ;p  8 ;p d  ;p|NR$p$p+1??>+J$p 1 2$prrceZdZdefdZddddej edej ede eje fdZ e e e e e e e e e e dd d ej ed ej ed ej ed ej edej ej eej"fdej edej edej edej edej edej ede e fdZdddedej ede e fdZdddedej ede dfdZe e e e e e e e e e dd ded ej ed ej ed ej ed ej edej ej eej"fdej edej edej edej edej edej ede e fdZe dddededej ej"dej ede df dZddddedej edej ede dfdZe dd ded!ej edej ede dfd"Zdddedej ede efd#Zy)$AsyncRawMlClientrc||_yrrrs rrzAsyncRawMlClient.__init__-rrNr r!r"r#clK|jjjddd|i|d{} d|jcxkrdkrinnft j tj tttj t|j}t|| S|j}t|jt|j| 7#t$r6t|jt|j|j wxYww) a List all configured ML backends for a specific project by ID. Use the following cURL command: ```bash curl http://localhost:8000/api/ml?project={project_id} -H 'Authorization: Token abc123' Parameters ---------- project : typing.Optional[int] Project ID request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[typing.List[MlBackend]] r%r&r!r'Nr*r+r,r/r2)rr6r7r3r8r9r:rr r;rrrr<r4r=r>s rrBzAsyncRawMlClient.list0s0..;;CC 7, D   ti++1c1 KK *"$kk)4 ) 0))%HH&^^-N9#8#8$yGXGXBY`noo+ & ty'<' Label Studio Enterprise badge

This endpoint is not available in Label Studio Community Edition. [Learn more about Label Studio Enterprise](https://humansignal.com/goenterprise)

Create predictions for all tasks using a specific ML backend so that you can set up an active learning strategy based on the confidence or uncertainty scores associated with the predictions. Creating predictions requires a Label Studio ML backend set up and configured for your project. See [Set up machine learning](https://labelstud.io/guide/ml.html) for more details about a Label Studio ML backend. Reference the ML backend ID in the path of this API call. Get the ML backend ID by [listing the ML backends for a project](https://labelstud.io/api/#operation/api_ml_list). Parameters ---------- id : int A unique integer value identifying this ML backend. batch_size : typing.Optional[int] Computed number of tasks without predictions that the ML backend needs to predict. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[None] r%rqrNror'Nr*r+r/r2rrrs rrsz"AsyncRawMlClient.predict_all_taskssJ..;;CC&r*+8 4j, D   ti++1c1()$GG&^^-N9#8#8$yGXGXBY`noo  ty'<'?bp - bp  - bp __S) bpoofkk#vzz/&BCbp-bp%bp%bps#bp__S !bp 8bp 9 %bpJNR)p)p+1??>+J)p 9 %)pXNR!p!p+1??>+J!p 4 !pNCG0404,0FJ04(,(,&*$(;?dp dp__%>? dp  - dp  - dp__S)dpoofkk#vzz/&BCdp-dp%dp%dps#dp__S !dp 8dp 9 %dpV04;? 4p 4p 4p , 4p  8 4p 4 4pt,0;? 3p 3pOOC( 3p  8 3p 4 3pr37;? ;p ;p!//$/ ;p  8 ;p 4 ;p|NR$p$p+1??>+J$p 6 7$prr) r8 json.decoderrcore.api_errorrcore.client_wrapperrrcore.http_responserr core.jsonable_encoderr core.request_optionsr core.unchecked_base_modelr errors.internal_server_errorr types.ml_backendr#types.create_ml_request_auth_methodr%types.list_model_versions_ml_responser#types.update_ml_request_auth_methodrr9rzrTrrrrrrsc(%G@416>(JNJv{{6::s#SpSplWpWpr