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data.py
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
from typing import Dict, Iterable
import httpx
from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven
from ..._utils import (
maybe_transform,
async_maybe_transform,
)
from ..._compat import cached_property
from ..._resource import SyncAPIResource, AsyncAPIResource
from ..._response import (
to_raw_response_wrapper,
to_streamed_response_wrapper,
async_to_raw_response_wrapper,
async_to_streamed_response_wrapper,
)
from ..._base_client import make_request_options
from ...types.inference_pipelines import data_stream_params
from ...types.inference_pipelines.data_stream_response import DataStreamResponse
__all__ = ["DataResource", "AsyncDataResource"]
class DataResource(SyncAPIResource):
@cached_property
def with_raw_response(self) -> DataResourceWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/openlayer-ai/openlayer-python#accessing-raw-response-data-eg-headers
"""
return DataResourceWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> DataResourceWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/openlayer-ai/openlayer-python#with_streaming_response
"""
return DataResourceWithStreamingResponse(self)
def stream(
self,
inference_pipeline_id: str,
*,
config: data_stream_params.Config,
rows: Iterable[Dict[str, object]],
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> DataStreamResponse:
"""
Publish an inference data point to an inference pipeline.
Args:
config: Configuration for the data stream. Depends on your **Openlayer project task
type**.
rows: A list of inference data points with inputs and outputs
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
"""
if not inference_pipeline_id:
raise ValueError(
f"Expected a non-empty value for `inference_pipeline_id` but received {inference_pipeline_id!r}"
)
return self._post(
f"/inference-pipelines/{inference_pipeline_id}/data-stream",
body=maybe_transform(
{
"config": config,
"rows": rows,
},
data_stream_params.DataStreamParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=DataStreamResponse,
)
class AsyncDataResource(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncDataResourceWithRawResponse:
"""
This property can be used as a prefix for any HTTP method call to return
the raw response object instead of the parsed content.
For more information, see https://www.github.com/openlayer-ai/openlayer-python#accessing-raw-response-data-eg-headers
"""
return AsyncDataResourceWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncDataResourceWithStreamingResponse:
"""
An alternative to `.with_raw_response` that doesn't eagerly read the response body.
For more information, see https://www.github.com/openlayer-ai/openlayer-python#with_streaming_response
"""
return AsyncDataResourceWithStreamingResponse(self)
async def stream(
self,
inference_pipeline_id: str,
*,
config: data_stream_params.Config,
rows: Iterable[Dict[str, object]],
# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
# The extra values given here take precedence over values defined on the client or passed to this method.
extra_headers: Headers | None = None,
extra_query: Query | None = None,
extra_body: Body | None = None,
timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
) -> DataStreamResponse:
"""
Publish an inference data point to an inference pipeline.
Args:
config: Configuration for the data stream. Depends on your **Openlayer project task
type**.
rows: A list of inference data points with inputs and outputs
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
"""
if not inference_pipeline_id:
raise ValueError(
f"Expected a non-empty value for `inference_pipeline_id` but received {inference_pipeline_id!r}"
)
return await self._post(
f"/inference-pipelines/{inference_pipeline_id}/data-stream",
body=await async_maybe_transform(
{
"config": config,
"rows": rows,
},
data_stream_params.DataStreamParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=DataStreamResponse,
)
class DataResourceWithRawResponse:
def __init__(self, data: DataResource) -> None:
self._data = data
self.stream = to_raw_response_wrapper(
data.stream,
)
class AsyncDataResourceWithRawResponse:
def __init__(self, data: AsyncDataResource) -> None:
self._data = data
self.stream = async_to_raw_response_wrapper(
data.stream,
)
class DataResourceWithStreamingResponse:
def __init__(self, data: DataResource) -> None:
self._data = data
self.stream = to_streamed_response_wrapper(
data.stream,
)
class AsyncDataResourceWithStreamingResponse:
def __init__(self, data: AsyncDataResource) -> None:
self._data = data
self.stream = async_to_streamed_response_wrapper(
data.stream,
)