fj_~ddlmZddlmZmZddlmZddlZddlm Z ddl m Z m Z m Z mZmZddlmZmZdd lmZdd lmZmZdd lmZmZdd lmZmZdd lmZm Z ddl!m"Z"m#Z#m$Z$m%Z%m&Z&ddgZ'GddeZ(GddeZ)GddZ*GddZ+GddZ,GddZ-dS)) annotations)UnionOptional)LiteralN)_legacy_response) NOT_GIVENBodyQueryHeadersNotGiven)maybe_transformasync_maybe_transform)cached_property)SyncAPIResourceAsyncAPIResource)to_streamed_response_wrapper"async_to_streamed_response_wrapper)SyncCursorPageAsyncCursorPage)AsyncPaginatormake_request_options) FineTuningJobFineTuningJobEventjob_list_paramsjob_create_paramsjob_list_events_paramsJobs AsyncJobsceZdZed(dZed)dZeeedddedd*dZdddedd+dZeedddedd,d$Z dddedd+d%Z eedddedd-d'Z dS).rreturnJobsWithRawResponsec t|SN)r"selfs uC:\Users\Terasoftware\OneDrive\Desktop\faahhh\fyndo\fyndo\venv\Lib\site-packages\openai/resources/fine_tuning/jobs.pywith_raw_responsezJobs.with_raw_response$s"4(((JobsWithStreamingResponsec t|Sr$)r*r%s r'with_streaming_responsezJobs.with_streaming_response(s(...r)Nhyperparameterssuffixvalidation_file extra_headers extra_query extra_bodytimeoutmodelBUnion[str, Literal['babbage-002', 'davinci-002', 'gpt-3.5-turbo']] training_filestrr.,job_create_params.Hyperparameters | NotGivenr/Optional[str] | NotGivenr0r1Headers | Noner2 Query | Noner3 Body | Noner4'float | httpx.Timeout | None | NotGivenrc |dt|||||dtjt |||| t S) Creates a fine-tuning job which begins the process of creating a new model from a given dataset. Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) Args: model: The name of the model to fine-tune. You can select one of the [supported models](https://platform.openai.com/docs/guides/fine-tuning/what-models-can-be-fine-tuned). training_file: The ID of an uploaded file that contains training data. See [upload file](https://platform.openai.com/docs/api-reference/files/upload) for how to upload a file. Your dataset must be formatted as a JSONL file. Additionally, you must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more details. hyperparameters: The hyperparameters used for the fine-tuning job. suffix: A string of up to 18 characters that will be added to your fine-tuned model name. For example, a `suffix` of "custom-model-name" would produce a model name like `ft:gpt-3.5-turbo:openai:custom-model-name:7p4lURel`. validation_file: The ID of an uploaded file that contains validation data. If you provide this file, the data is used to generate validation metrics periodically during fine-tuning. These metrics can be viewed in the fine-tuning results file. The same data should not be present in both train and validation files. Your dataset must be formatted as a JSONL file. You must upload your file with the purpose `fine-tune`. See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more details. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds /fine_tuning/jobsr5r7r.r/r0r1r2r3r4bodyoptionscast_to)_postrrJobCreateParamsrr r&r5r7r.r/r0r1r2r3r4s r'createz Jobs.create,suHzz  "%2'6$'6 "1  )+Q[el"   r)rCfine_tuning_job_idc |std||d|t||||tS) Get info about a fine-tuning job. [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning) Args: extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds AExpected a non-empty value for `fine_tuning_job_id` but received /fine_tuning/jobs/rCrFrG ValueError_getrrr&rLr1r2r3r4s r'retrievez Jobs.retrievesn2" ywaswwxx xyy 5!3 5 5(+Q[el"    r)afterlimitr1r2r3r4rXstr | NotGivenrYint | NotGivenSyncCursorPage[FineTuningJob]c|dttt||||t ||dt jtSa List your organization's fine-tuning jobs Args: after: Identifier for the last job from the previous pagination request. limit: Number of fine-tuning jobs to retrieve. extra_headers: Send extra headers extra_query: Add additional query parameters to the request extra_body: Add additional JSON properties to the request timeout: Override the client-level default timeout for this request, in seconds rArXrYr1r2r3r4querypagerFr5) _get_api_listrrrrr JobListParamsr&rXrYr1r2r3r4s r'listz Jobs.listst8!!  .(+'%%!&!&$1     !"   r)c |std||d|dt||||tS)W Immediately cancel a fine-tune job. 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L!* ))-$("&;D- - - - - - j)-$("&;D      J!* ))-$("&;D0 0 0 0 0 0 0 0 r)ceZdZddZdS)r"jobsrr!Nonec@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSr$)_jobsrto_raw_response_wrapperrKrVrgrlrrr&rs r'__init__zJobsWithRawResponse.__init__.s &> K   )@ M   %< I   '> K   ,C    r)Nrrr!rrvrwrxrryr)r'r"r"-(      r)r"ceZdZddZdS)r{rrr!rc@||_tj|j|_tj|j|_tj|j|_tj|j|_tj|j|_dSr$)rrasync_to_raw_response_wrapperrKrVrgrlrrrs r'rz!AsyncJobsWithRawResponse.__init__Cs &D K   )F M   %B I   'D K   ,I    r)Nrrr!rrryr)r'r{r{Brr)r{ceZdZddZdS)r*rrr!rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr$)rrrKrVrgrlrrrs r'rz"JobsWithStreamingResponse.__init__Xs 2 K   5 M   1 I   3 K   8    r)Nrrryr)r'r*r*Wrr)r*ceZdZddZdS)r}rrr!rc||_t|j|_t|j|_t|j|_t|j|_t|j|_dSr$)rrrKrVrgrlrrrs r'rz'AsyncJobsWithStreamingResponse.__init__ms 8 K   ; M   7 I   9 K   >    r)Nrrryr)r'r}r}lrr)r}). __future__rtypingrrtyping_extensionsrhttpxr_typesr r r r r _utilsrr_compatr _resourcerr _responserr paginationrr _base_clientrrtypes.fine_tuningrrrrr__all__rrr"r{r*r}ryr)r'rs#"""""""""""""%%%%%% ??????????????'&&&&&::::::::YYYYYYYY99999999 ; B B B B B ?B B B JB B B B B  B B B J        *        *        *          r)