>'hJ9lddlZddlZddlmZddlmZddlmZm Z ddl m Z ddl m Z ddlmZdd lmZdd lmZdd lmZdd lmZdd lmZ ddlZej6j9dreddlmZej@ejBdZ"GddZ#GddZ$y#e$rddlZY=wxYw)N)JSONDecodeError)ApiError)AsyncClientWrapperSyncClientWrapper)jsonable_encoder)remove_none_from_dict)UnprocessableEntityError)Batch)BatchPaginatedList)BatchPublicOutput)HttpValidationError)LlamaParseParametersz1..ceZdZdefdZddddddej edej edej edej ed e f d Z dde e e e d dej edej ed ed ej e dededej edej edededej ed e fdZdddedej ed efdZy) BetaClientclient_wrapperc||_yN_client_wrapperselfrs h/home/kushmeetdev/Regenta/Chatbot/venv/lib/python3.12/site-packages/llama_cloud/resources/beta/client.py__init__zBetaClient.__init__ -Nlimitoffset project_idorganization_idrrr r!returnc |jjjdtjj |jj ddt||||d|jjd}d|jcxkrdkr+nn(tjt|jS|jd k(r1ttjt|j |j}t#|j| #t $r"t#|j|j$ wxYw) a Parameters: - limit: typing.Optional[int]. - offset: typing.Optional[int]. - project_id: typing.Optional[str]. - organization_id: typing.Optional[str]. --- from llama_cloud.client import LlamaCloud client = LlamaCloud( token="YOUR_TOKEN", ) client.beta.list_batches() GET/api/v1/beta/batchesr<paramsheaderstimeout, status_codebodyr httpx_clientrequesturllibparseurljoin get_base_urlr get_headersr0pydantic parse_obj_asr jsonr rrrtextrrrr r! _response_response_jsons r list_batcheszBetaClient.list_batches"s22((55==  LL D$8$8$E$E$G#H!JLa b(6`op((446>  )'' -# -(();Y^^=MN N  C '*8+@+@ATV_VdVdVf+gh h S&^^-N9#8#8~NN Sy'<'<9>>R R S D22+Er!r tool_data output_type output_idcompletion_windowtoolrD input_typeinput_idrErFbatch_create_project_id external_idrGc H|||| | d} |tur|| d<|tur|| d<|tur|| d<| tur| | d<|jjjdtj j |jjddt||d t| |jjd } d | jcxkrd kr+nn(tjt| jS| jdk(r1t!tjt"| j | j}t'| j|#t$$r"t'| j| j(wxYw)a Parameters: - organization_id: typing.Optional[str]. - project_id: typing.Optional[str]. - tool: str. The tool to be used for all requests in the batch. - tool_data: typing.Optional[LlamaParseParameters]. - input_type: str. The type of input file. Currently only 'datasource' is supported. - input_id: str. The ID of the input file for the batch. - output_type: typing.Optional[str]. - output_id: typing.Optional[str]. - batch_create_project_id: str. The ID of the project to which the batch belongs - external_id: str. A developer-provided ID for the batch. This ID will be returned in the response. - completion_window: typing.Optional[int]. The time frame within which the batch should be processed. Currently only 24h is supported. --- from llama_cloud import FailPageMode, LlamaParseParameters, ParsingMode from llama_cloud.client import LlamaCloud client = LlamaCloud( token="YOUR_TOKEN", ) client.beta.create_batch( tool="string", tool_data=LlamaParseParameters( parse_mode=ParsingMode.PARSE_PAGE_WITHOUT_LLM, replace_failed_page_mode=FailPageMode.RAW_TEXT, ), input_type="string", input_id="string", batch_create_project_id="string", external_id="string", ) rHrIrJr rLrDrErFrGPOSTr%r&r!r r'r)r<r*r+r,r-r.r/OMITrr3r4r5r6r7r8r rr9r0r:r;r r<r rrrr=rr!r rHrDrIrJrErFrKrLrG_requestr?r@s r create_batchzBetaClient.create_batchNst$ 1& 2  D $-H[ ! d "&1H] # D $-H[ ! D (,=H( )((55==  LL D$8$8$E$E$G#H!JLa b(_\f)gh!(+((446 >  )'' -# -(( 0@A A  C '*8+@+@ATV_VdVdVf+gh h S&^^-N9#8#8~NN Sy'<'<9>>R R Ss E66+F!r!batch_idc|jjjdtjj |jj dd|td|i|jjd}d|jcxkrdkr+nn(tjt|jS|jd k(r1ttjt|j |j}t#|j| #t $r"t#|j|j$ wxYw) a> Parameters: - batch_id: str. - organization_id: typing.Optional[str]. --- from llama_cloud.client import LlamaCloud client = LlamaCloud( token="YOUR_TOKEN", ) client.beta.get_batch( batch_id="string", ) r$r%api/v1/beta/batches/r!r'r(r,r-r.r/rr3r4r5r6r7r8r r9r0r:r;r r<r rrrr=rrXr!r?r@s r get_batchzBetaClient.get_batchs2 ((55==  LL D$8$8$E$E$G#H!JNbckblLm n(*;_)MN((446 >  )'' -# -(():INN>R R SrB)__name__ __module__ __qualname__rrtypingOptionalintstrr rArSrr rVr r]rrrrs.*;. '+'++/04 *Os#*O$ *O OOC( *O  - *O *O^15+/;?-1*.37XO -XOOOC( XO  XO ??#78 XOXOXO__S)XO??3'XO"%XOXO"??3/XO XOtSWO#O6??3;OO[lOrrceZdZdefdZddddddej edej edej edej ed e f d Z dde e e e d dej edej ed ed ej e dededej edej edededej ed e fdZdddedej ed efdZy)AsyncBetaClientrc||_yrrrs rrzAsyncBetaClient.__init__rrNrrrr r!r"c K|jjjdtjj |jj ddt||||d|jjdd{}d|jcxkrd kr+nn(tjt|jS|jd k(r1ttjt|j |j}t#|j| 7#t $r"t#|j|j$ wxYww) a Parameters: - limit: typing.Optional[int]. - offset: typing.Optional[int]. - project_id: typing.Optional[str]. - organization_id: typing.Optional[str]. --- from llama_cloud.client import AsyncLlamaCloud client = AsyncLlamaCloud( token="YOUR_TOKEN", ) await client.beta.list_batches() r$r%r&rr'r(Nr,r-r.r/r2r>s rrAzAsyncBetaClient.list_batchess@2..;;CC  LL D$8$8$E$E$G#H!JLa b(6`op((446D   )'' -# -(();Y^^=MN N  C '*8+@+@ATV_VdVdVf+gh h S&^^-N9#8#8~NN#  Sy'<'<9>>R R S+B E,D<BE,D>%E,>+E))E,rCrHrDrIrJrErFrKrLrGc dK|||| | d} |tur|| d<|tur|| d<|tur|| d<| tur| | d<|jjjdtj j |jjddt||d t| |jjd d {} d | jcxkrdkr+nn(tjt| jS| jdk(r1t!tjt"| j | j}t'| j|7#t$$r"t'| j| j(wxYww)a Parameters: - organization_id: typing.Optional[str]. - project_id: typing.Optional[str]. - tool: str. The tool to be used for all requests in the batch. - tool_data: typing.Optional[LlamaParseParameters]. - input_type: str. The type of input file. Currently only 'datasource' is supported. - input_id: str. The ID of the input file for the batch. - output_type: typing.Optional[str]. - output_id: typing.Optional[str]. - batch_create_project_id: str. The ID of the project to which the batch belongs - external_id: str. A developer-provided ID for the batch. This ID will be returned in the response. - completion_window: typing.Optional[int]. The time frame within which the batch should be processed. Currently only 24h is supported. --- from llama_cloud import FailPageMode, LlamaParseParameters, ParsingMode from llama_cloud.client import AsyncLlamaCloud client = AsyncLlamaCloud( token="YOUR_TOKEN", ) await client.beta.create_batch( tool="string", tool_data=LlamaParseParameters( parse_mode=ParsingMode.PARSE_PAGE_WITHOUT_LLM, replace_failed_page_mode=FailPageMode.RAW_TEXT, ), input_type="string", input_id="string", batch_create_project_id="string", external_id="string", ) rNrDrErFrGrOr%r&rPr'rQNr,r-r.r/rRrTs rrVzAsyncBetaClient.create_batchst$ 1& 2  D $-H[ ! d "&1H] # D $-H[ ! D (,=H( )..;;CC  LL D$8$8$E$E$G#H!JLa b(_\f)gh!(+((446 D   )'' -# -(( 0@A A  C '*8+@+@ATV_VdVdVf+gh h S&^^-N9#8#8~NN!  Sy'<'<9>>R R Ss+CF0FBF0F)F0+F--F0rWrXcK|jjjdtjj |jj dd|td|i|jjdd{}d|jcxkrd kr+nn(tjt|jS|jd k(r1ttjt|j |j}t#|j| 7#t $r"t#|j|j$ wxYww) aN Parameters: - batch_id: str. - organization_id: typing.Optional[str]. --- from llama_cloud.client import AsyncLlamaCloud client = AsyncLlamaCloud( token="YOUR_TOKEN", ) await client.beta.get_batch( batch_id="string", ) r$r%rZr!r'r(Nr,r-r.r/r[r\s rr]zAsyncBetaClient.get_batchTs@ ..;;CC  LL D$8$8$E$E$G#H!JNbckblLm n(*;_)MN((446 D   )'' -# -(():INN>R R Srj)r^r_r`rrrarbrcrdr rArSrr rVr r]rerrrgrgs.*<. '+'++/04 *Os#*O$ *O OOC( *O  - *O *O^15+/;?-1*.37XO -XOOOC( XO  XO ??#78 XOXOXO__S)XO??3'XO"%XOXO"??3/XO XOtY]OOQTAUOarOrrg)%ra urllib.parser5 json.decoderrcore.api_errorrcore.client_wrapperrrcore.jsonable_encoderrcore.remove_none_from_dictr !errors.unprocessable_entity_errorr types.batchr types.batch_paginated_listr types.batch_public_outputr types.http_validation_errorrtypes.llama_parse_parametersrr: __version__ startswith ImportError pydantic.v1v1castAnyrSrrgrerrrs(&H5?I <:>@&&t," v{{6::s#iOiOXiOiOgs'B'' B32B3