data.py

# 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 Body, Query, Headers, NotGiven, not_given
from ..._utils import path_template, 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(
            path_template(
                "/inference-pipelines/{inference_pipeline_id}/data-stream", inference_pipeline_id=inference_pipeline_id
            ),
            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(
            path_template(
                "/inference-pipelines/{inference_pipeline_id}/data-stream", inference_pipeline_id=inference_pipeline_id
            ),
            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,
        )