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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
from __future__ import annotations
import httpx
from ..types import test_evaluate_params
from .._types import Body, Omit, Query, Headers, NotGiven, omit, not_given
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.test_evaluate_response import TestEvaluateResponse
__all__ = ["TestsResource", "AsyncTestsResource"]
class TestsResource(SyncAPIResource):
__test__ = False
@cached_property
def with_raw_response(self) -> TestsResourceWithRawResponse:
"""
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 TestsResourceWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> TestsResourceWithStreamingResponse:
"""
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 TestsResourceWithStreamingResponse(self)
def evaluate(
self,
test_id: str,
*,
end_timestamp: int,
start_timestamp: int,
inference_pipeline_id: str | Omit = omit,
overwrite_results: bool | Omit = omit,
# 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,
) -> TestEvaluateResponse:
"""
Triggers one-off evaluation of a specific monitoring test for a custom timestamp
range. This allows evaluating tests for historical data or custom time periods
outside the regular evaluation window schedule. It also allows overwriting the
existing test results.
Args:
end_timestamp: End timestamp in seconds (Unix epoch)
start_timestamp: Start timestamp in seconds (Unix epoch)
inference_pipeline_id: ID of the inference pipeline to evaluate. If not provided, all inference
pipelines the test applies to will be evaluated.
overwrite_results: Whether to overwrite existing test results
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 test_id:
raise ValueError(f"Expected a non-empty value for `test_id` but received {test_id!r}")
return self._post(
f"/tests/{test_id}/evaluate",
body=maybe_transform(
{
"end_timestamp": end_timestamp,
"start_timestamp": start_timestamp,
"inference_pipeline_id": inference_pipeline_id,
"overwrite_results": overwrite_results,
},
test_evaluate_params.TestEvaluateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=TestEvaluateResponse,
)
class AsyncTestsResource(AsyncAPIResource):
@cached_property
def with_raw_response(self) -> AsyncTestsResourceWithRawResponse:
"""
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 AsyncTestsResourceWithRawResponse(self)
@cached_property
def with_streaming_response(self) -> AsyncTestsResourceWithStreamingResponse:
"""
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 AsyncTestsResourceWithStreamingResponse(self)
async def evaluate(
self,
test_id: str,
*,
end_timestamp: int,
start_timestamp: int,
inference_pipeline_id: str | Omit = omit,
overwrite_results: bool | Omit = omit,
# 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,
) -> TestEvaluateResponse:
"""
Triggers one-off evaluation of a specific monitoring test for a custom timestamp
range. This allows evaluating tests for historical data or custom time periods
outside the regular evaluation window schedule. It also allows overwriting the
existing test results.
Args:
end_timestamp: End timestamp in seconds (Unix epoch)
start_timestamp: Start timestamp in seconds (Unix epoch)
inference_pipeline_id: ID of the inference pipeline to evaluate. If not provided, all inference
pipelines the test applies to will be evaluated.
overwrite_results: Whether to overwrite existing test results
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 test_id:
raise ValueError(f"Expected a non-empty value for `test_id` but received {test_id!r}")
return await self._post(
f"/tests/{test_id}/evaluate",
body=await async_maybe_transform(
{
"end_timestamp": end_timestamp,
"start_timestamp": start_timestamp,
"inference_pipeline_id": inference_pipeline_id,
"overwrite_results": overwrite_results,
},
test_evaluate_params.TestEvaluateParams,
),
options=make_request_options(
extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
),
cast_to=TestEvaluateResponse,
)
class TestsResourceWithRawResponse:
__test__ = False
def __init__(self, tests: TestsResource) -> None:
self._tests = tests
self.evaluate = to_raw_response_wrapper(
tests.evaluate,
)
class AsyncTestsResourceWithRawResponse:
def __init__(self, tests: AsyncTestsResource) -> None:
self._tests = tests
self.evaluate = async_to_raw_response_wrapper(
tests.evaluate,
)
class TestsResourceWithStreamingResponse:
__test__ = False
def __init__(self, tests: TestsResource) -> None:
self._tests = tests
self.evaluate = to_streamed_response_wrapper(
tests.evaluate,
)
class AsyncTestsResourceWithStreamingResponse:
def __init__(self, tests: AsyncTestsResource) -> None:
self._tests = tests
self.evaluate = async_to_streamed_response_wrapper(
tests.evaluate,
)