o lWi@sddlZddlmZmZddlmZddlmZddlm Z ddl m Z ddl m Z d d lmZmZGd d d ZGd ddZdS)N)AsyncClientWrapperSyncClientWrapper)RequestOptions)BreakdownTypes) MetricType)UsageAggregationInterval)UsageCharactersResponseModel)AsyncRawUsageClientRawUsageClientc@eZdZdefddZedefddZdddddddd ed ed e j e d e j e d e j e de j ede j ede j edefddZdS) UsageClientclient_wrappercCt|d|_dSN)r)r _raw_clientselfrr[/var/www/html/asistente-voz-ia/venv/lib/python3.10/site-packages/elevenlabs/usage/client.py__init__zUsageClient.__init__returncC|jS)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- RawUsageClient rrrrrwith_raw_response zUsageClient.with_raw_responseNinclude_workspace_metricsbreakdown_typeaggregation_intervalaggregation_bucket_sizemetricrequest_options start_unixend_unixr r!r"r#r$r%c Cs"|jj||||||||d} | jS)a Returns the usage metrics for the current user or the entire workspace they are part of. The response provides a time axis based on the specified aggregation interval (default: day), with usage values for each interval along that axis. Usage is broken down by the selected breakdown type. For example, breakdown type "voice" will return the usage of each voice for each interval along the time axis. Parameters ---------- start_unix : int UTC Unix timestamp for the start of the usage window, in milliseconds. To include the first day of the window, the timestamp should be at 00:00:00 of that day. end_unix : int UTC Unix timestamp for the end of the usage window, in milliseconds. To include the last day of the window, the timestamp should be at 23:59:59 of that day. include_workspace_metrics : typing.Optional[bool] Whether or not to include the statistics of the entire workspace. breakdown_type : typing.Optional[BreakdownTypes] How to break down the information. Cannot be "user" if include_workspace_metrics is False. aggregation_interval : typing.Optional[UsageAggregationInterval] How to aggregate usage data over time. Can be "hour", "day", "week", "month", or "cumulative". aggregation_bucket_size : typing.Optional[int] Aggregation bucket size in seconds. Overrides the aggregation interval. metric : typing.Optional[MetricType] Which metric to aggregate. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- UsageCharactersResponseModel Successful Response Examples -------- from elevenlabs import ElevenLabs client = ElevenLabs( api_key="YOUR_API_KEY", ) client.usage.get( start_unix=1, end_unix=1, include_workspace_metrics=True, breakdown_type="none", aggregation_interval="hour", aggregation_bucket_size=1, metric="credits", ) r&r'r r!r"r#r$r%rgetdata rr&r'r r!r"r#r$r% _responserrrr*s? zUsageClient.get)__name__ __module__ __qualname__rrpropertyr rinttypingOptionalboolrrrrr r*rrrrr:   rc@r )AsyncUsageClientrcCrr)r rrrrrrjrzAsyncUsageClient.__init__rcCr)z Retrieves a raw implementation of this client that returns raw responses. Returns ------- AsyncRawUsageClient rrrrrrmrz"AsyncUsageClient.with_raw_responseNrr&r'r r!r"r#r$r%c s*|jj||||||||dIdH} | jS)a Returns the usage metrics for the current user or the entire workspace they are part of. The response provides a time axis based on the specified aggregation interval (default: day), with usage values for each interval along that axis. Usage is broken down by the selected breakdown type. For example, breakdown type "voice" will return the usage of each voice for each interval along the time axis. Parameters ---------- start_unix : int UTC Unix timestamp for the start of the usage window, in milliseconds. To include the first day of the window, the timestamp should be at 00:00:00 of that day. end_unix : int UTC Unix timestamp for the end of the usage window, in milliseconds. To include the last day of the window, the timestamp should be at 23:59:59 of that day. include_workspace_metrics : typing.Optional[bool] Whether or not to include the statistics of the entire workspace. breakdown_type : typing.Optional[BreakdownTypes] How to break down the information. Cannot be "user" if include_workspace_metrics is False. aggregation_interval : typing.Optional[UsageAggregationInterval] How to aggregate usage data over time. Can be "hour", "day", "week", "month", or "cumulative". aggregation_bucket_size : typing.Optional[int] Aggregation bucket size in seconds. Overrides the aggregation interval. metric : typing.Optional[MetricType] Which metric to aggregate. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- UsageCharactersResponseModel Successful Response Examples -------- import asyncio from elevenlabs import AsyncElevenLabs client = AsyncElevenLabs( api_key="YOUR_API_KEY", ) async def main() -> None: await client.usage.get( start_unix=1, end_unix=1, include_workspace_metrics=True, breakdown_type="none", aggregation_interval="hour", aggregation_bucket_size=1, metric="credits", ) asyncio.run(main()) r(Nr)r,rrrr*xsG  zAsyncUsageClient.get)r.r/r0rrr1r rr2r3r4r5rrrrr r*rrrrr7ir6r7)r3core.client_wrapperrrcore.request_optionsrtypes.breakdown_typesrtypes.metric_typer types.usage_aggregation_intervalr%types.usage_characters_response_modelr raw_clientr r rr7rrrrs     [