# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.

from __future__ import annotations

import typing_extensions
from typing import Type, Union, cast
from datetime import datetime
from typing_extensions import Literal

import httpx

from ......_types import Body, Omit, Query, Headers, NotGiven, SequenceNotStr, 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 ......_wrappers import ResultWrapper
from ......_base_client import make_request_options
from ......types.radar.ai.inference.timeseries_groups import summary_task_params, summary_model_params
from ......types.radar.ai.inference.timeseries_groups.summary_task_response import SummaryTaskResponse
from ......types.radar.ai.inference.timeseries_groups.summary_model_response import SummaryModelResponse

__all__ = ["SummaryResource", "AsyncSummaryResource"]


class SummaryResource(SyncAPIResource):
    @cached_property
    def with_raw_response(self) -> SummaryResourceWithRawResponse:
        """
        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/cloudflare/cloudflare-python#accessing-raw-response-data-eg-headers
        """
        return SummaryResourceWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> SummaryResourceWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/cloudflare/cloudflare-python#with_streaming_response
        """
        return SummaryResourceWithStreamingResponse(self)

    @typing_extensions.deprecated(
        "Use [Radar AI Inference Timeseries Groups By Dimension](https://developers.cloudflare.com/api/resources/radar/subresources/ai/subresources/inference/methods/timeseries_groups_v2/) instead."
    )
    def model(
        self,
        *,
        agg_interval: Literal["15m", "1h", "1d", "1w"] | Omit = omit,
        date_end: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        date_range: SequenceNotStr[str] | Omit = omit,
        date_start: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        format: Literal["JSON", "CSV"] | Omit = omit,
        limit_per_group: int | Omit = omit,
        name: SequenceNotStr[str] | 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,
    ) -> SummaryModelResponse:
        """
        Retrieves the distribution of unique accounts by model over time.

        Args:
          agg_interval: Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals).
              Refer to
              [Aggregation intervals](https://developers.cloudflare.com/radar/concepts/aggregation-intervals/).

          date_end: End of the date range (inclusive).

          date_range: Filters results by date range. For example, use `7d` and `7dcontrol` to compare
              this week with the previous week. Use this parameter or set specific start and
              end dates (`dateStart` and `dateEnd` parameters).

          date_start: Start of the date range.

          format: Format in which results will be returned.

          limit_per_group: Limits the number of objects per group to the top items within the specified
              time range. When item count exceeds the limit, extra items appear grouped under
              an "other" category.

          name: Array of names used to label the series in the response.

          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
        """
        return self._get(
            "/radar/ai/inference/timeseries_groups/model",
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
                query=maybe_transform(
                    {
                        "agg_interval": agg_interval,
                        "date_end": date_end,
                        "date_range": date_range,
                        "date_start": date_start,
                        "format": format,
                        "limit_per_group": limit_per_group,
                        "name": name,
                    },
                    summary_model_params.SummaryModelParams,
                ),
                post_parser=ResultWrapper[SummaryModelResponse]._unwrapper,
            ),
            cast_to=cast(Type[SummaryModelResponse], ResultWrapper[SummaryModelResponse]),
        )

    @typing_extensions.deprecated(
        "Use [Radar AI Inference Timeseries Groups By Dimension](https://developers.cloudflare.com/api/resources/radar/subresources/ai/subresources/inference/methods/timeseries_groups_v2/) instead."
    )
    def task(
        self,
        *,
        agg_interval: Literal["15m", "1h", "1d", "1w"] | Omit = omit,
        date_end: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        date_range: SequenceNotStr[str] | Omit = omit,
        date_start: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        format: Literal["JSON", "CSV"] | Omit = omit,
        limit_per_group: int | Omit = omit,
        name: SequenceNotStr[str] | 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,
    ) -> SummaryTaskResponse:
        """
        Retrieves the distribution of unique accounts by task over time.

        Args:
          agg_interval: Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals).
              Refer to
              [Aggregation intervals](https://developers.cloudflare.com/radar/concepts/aggregation-intervals/).

          date_end: End of the date range (inclusive).

          date_range: Filters results by date range. For example, use `7d` and `7dcontrol` to compare
              this week with the previous week. Use this parameter or set specific start and
              end dates (`dateStart` and `dateEnd` parameters).

          date_start: Start of the date range.

          format: Format in which results will be returned.

          limit_per_group: Limits the number of objects per group to the top items within the specified
              time range. When item count exceeds the limit, extra items appear grouped under
              an "other" category.

          name: Array of names used to label the series in the response.

          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
        """
        return self._get(
            "/radar/ai/inference/timeseries_groups/task",
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
                query=maybe_transform(
                    {
                        "agg_interval": agg_interval,
                        "date_end": date_end,
                        "date_range": date_range,
                        "date_start": date_start,
                        "format": format,
                        "limit_per_group": limit_per_group,
                        "name": name,
                    },
                    summary_task_params.SummaryTaskParams,
                ),
                post_parser=ResultWrapper[SummaryTaskResponse]._unwrapper,
            ),
            cast_to=cast(Type[SummaryTaskResponse], ResultWrapper[SummaryTaskResponse]),
        )


class AsyncSummaryResource(AsyncAPIResource):
    @cached_property
    def with_raw_response(self) -> AsyncSummaryResourceWithRawResponse:
        """
        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/cloudflare/cloudflare-python#accessing-raw-response-data-eg-headers
        """
        return AsyncSummaryResourceWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> AsyncSummaryResourceWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/cloudflare/cloudflare-python#with_streaming_response
        """
        return AsyncSummaryResourceWithStreamingResponse(self)

    @typing_extensions.deprecated(
        "Use [Radar AI Inference Timeseries Groups By Dimension](https://developers.cloudflare.com/api/resources/radar/subresources/ai/subresources/inference/methods/timeseries_groups_v2/) instead."
    )
    async def model(
        self,
        *,
        agg_interval: Literal["15m", "1h", "1d", "1w"] | Omit = omit,
        date_end: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        date_range: SequenceNotStr[str] | Omit = omit,
        date_start: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        format: Literal["JSON", "CSV"] | Omit = omit,
        limit_per_group: int | Omit = omit,
        name: SequenceNotStr[str] | 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,
    ) -> SummaryModelResponse:
        """
        Retrieves the distribution of unique accounts by model over time.

        Args:
          agg_interval: Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals).
              Refer to
              [Aggregation intervals](https://developers.cloudflare.com/radar/concepts/aggregation-intervals/).

          date_end: End of the date range (inclusive).

          date_range: Filters results by date range. For example, use `7d` and `7dcontrol` to compare
              this week with the previous week. Use this parameter or set specific start and
              end dates (`dateStart` and `dateEnd` parameters).

          date_start: Start of the date range.

          format: Format in which results will be returned.

          limit_per_group: Limits the number of objects per group to the top items within the specified
              time range. When item count exceeds the limit, extra items appear grouped under
              an "other" category.

          name: Array of names used to label the series in the response.

          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
        """
        return await self._get(
            "/radar/ai/inference/timeseries_groups/model",
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
                query=await async_maybe_transform(
                    {
                        "agg_interval": agg_interval,
                        "date_end": date_end,
                        "date_range": date_range,
                        "date_start": date_start,
                        "format": format,
                        "limit_per_group": limit_per_group,
                        "name": name,
                    },
                    summary_model_params.SummaryModelParams,
                ),
                post_parser=ResultWrapper[SummaryModelResponse]._unwrapper,
            ),
            cast_to=cast(Type[SummaryModelResponse], ResultWrapper[SummaryModelResponse]),
        )

    @typing_extensions.deprecated(
        "Use [Radar AI Inference Timeseries Groups By Dimension](https://developers.cloudflare.com/api/resources/radar/subresources/ai/subresources/inference/methods/timeseries_groups_v2/) instead."
    )
    async def task(
        self,
        *,
        agg_interval: Literal["15m", "1h", "1d", "1w"] | Omit = omit,
        date_end: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        date_range: SequenceNotStr[str] | Omit = omit,
        date_start: SequenceNotStr[Union[str, datetime]] | Omit = omit,
        format: Literal["JSON", "CSV"] | Omit = omit,
        limit_per_group: int | Omit = omit,
        name: SequenceNotStr[str] | 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,
    ) -> SummaryTaskResponse:
        """
        Retrieves the distribution of unique accounts by task over time.

        Args:
          agg_interval: Aggregation interval of the results (e.g., in 15 minutes or 1 hour intervals).
              Refer to
              [Aggregation intervals](https://developers.cloudflare.com/radar/concepts/aggregation-intervals/).

          date_end: End of the date range (inclusive).

          date_range: Filters results by date range. For example, use `7d` and `7dcontrol` to compare
              this week with the previous week. Use this parameter or set specific start and
              end dates (`dateStart` and `dateEnd` parameters).

          date_start: Start of the date range.

          format: Format in which results will be returned.

          limit_per_group: Limits the number of objects per group to the top items within the specified
              time range. When item count exceeds the limit, extra items appear grouped under
              an "other" category.

          name: Array of names used to label the series in the response.

          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
        """
        return await self._get(
            "/radar/ai/inference/timeseries_groups/task",
            options=make_request_options(
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
                query=await async_maybe_transform(
                    {
                        "agg_interval": agg_interval,
                        "date_end": date_end,
                        "date_range": date_range,
                        "date_start": date_start,
                        "format": format,
                        "limit_per_group": limit_per_group,
                        "name": name,
                    },
                    summary_task_params.SummaryTaskParams,
                ),
                post_parser=ResultWrapper[SummaryTaskResponse]._unwrapper,
            ),
            cast_to=cast(Type[SummaryTaskResponse], ResultWrapper[SummaryTaskResponse]),
        )


class SummaryResourceWithRawResponse:
    def __init__(self, summary: SummaryResource) -> None:
        self._summary = summary

        self.model = (  # pyright: ignore[reportDeprecated]
            to_raw_response_wrapper(
                summary.model,  # pyright: ignore[reportDeprecated],
            )
        )
        self.task = (  # pyright: ignore[reportDeprecated]
            to_raw_response_wrapper(
                summary.task,  # pyright: ignore[reportDeprecated],
            )
        )


class AsyncSummaryResourceWithRawResponse:
    def __init__(self, summary: AsyncSummaryResource) -> None:
        self._summary = summary

        self.model = (  # pyright: ignore[reportDeprecated]
            async_to_raw_response_wrapper(
                summary.model,  # pyright: ignore[reportDeprecated],
            )
        )
        self.task = (  # pyright: ignore[reportDeprecated]
            async_to_raw_response_wrapper(
                summary.task,  # pyright: ignore[reportDeprecated],
            )
        )


class SummaryResourceWithStreamingResponse:
    def __init__(self, summary: SummaryResource) -> None:
        self._summary = summary

        self.model = (  # pyright: ignore[reportDeprecated]
            to_streamed_response_wrapper(
                summary.model,  # pyright: ignore[reportDeprecated],
            )
        )
        self.task = (  # pyright: ignore[reportDeprecated]
            to_streamed_response_wrapper(
                summary.task,  # pyright: ignore[reportDeprecated],
            )
        )


class AsyncSummaryResourceWithStreamingResponse:
    def __init__(self, summary: AsyncSummaryResource) -> None:
        self._summary = summary

        self.model = (  # pyright: ignore[reportDeprecated]
            async_to_streamed_response_wrapper(
                summary.model,  # pyright: ignore[reportDeprecated],
            )
        )
        self.task = (  # pyright: ignore[reportDeprecated]
            async_to_streamed_response_wrapper(
                summary.task,  # pyright: ignore[reportDeprecated],
            )
        )
