# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from __future__ import annotations

from typing import List, Union, TYPE_CHECKING

from datadog_api_client.model_utils import (
    ModelNormal,
    cached_property,
    unset,
    UnsetType,
)


if TYPE_CHECKING:
    from datadog_api_client.v1.model.distribution_point import DistributionPoint
    from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType


class DistributionPointsSeries(ModelNormal):
    @cached_property
    def openapi_types(_):
        from datadog_api_client.v1.model.distribution_point import DistributionPoint
        from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType

        return {
            "host": (str,),
            "metric": (str,),
            "points": ([DistributionPoint],),
            "tags": ([str],),
            "type": (DistributionPointsType,),
        }

    attribute_map = {
        "host": "host",
        "metric": "metric",
        "points": "points",
        "tags": "tags",
        "type": "type",
    }

    def __init__(
        self_,
        metric: str,
        points: List[DistributionPoint],
        host: Union[str, UnsetType] = unset,
        tags: Union[List[str], UnsetType] = unset,
        type: Union[DistributionPointsType, UnsetType] = unset,
        **kwargs,
    ):
        """
        A distribution points metric to submit to Datadog.

        :param host: The name of the host that produced the distribution point metric.
        :type host: str, optional

        :param metric: The name of the distribution points metric.
        :type metric: str

        :param points: Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
        :type points: [DistributionPoint]

        :param tags: A list of tags associated with the distribution point metric.
        :type tags: [str], optional

        :param type: The type of the distribution point.
        :type type: DistributionPointsType, optional
        """
        if host is not unset:
            kwargs["host"] = host
        if tags is not unset:
            kwargs["tags"] = tags
        if type is not unset:
            kwargs["type"] = type
        super().__init__(kwargs)

        self_.metric = metric
        self_.points = points

e76376c605deb516de4144e25be30bb217e18121
<mask token>


class DistributionPointsSeries(ModelNormal):

    @cached_property
    def openapi_types(_):
        from datadog_api_client.v1.model.distribution_point import DistributionPoint
        from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType
        return {'host': (str,), 'metric': (str,), 'points': ([
            DistributionPoint],), 'tags': ([str],), 'type': (
            DistributionPointsType,)}
    <mask token>

    def __init__(self_, metric: str, points: List[DistributionPoint], host:
        Union[str, UnsetType]=unset, tags: Union[List[str], UnsetType]=
        unset, type: Union[DistributionPointsType, UnsetType]=unset, **kwargs):
        """
        A distribution points metric to submit to Datadog.

        :param host: The name of the host that produced the distribution point metric.
        :type host: str, optional

        :param metric: The name of the distribution points metric.
        :type metric: str

        :param points: Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
        :type points: [DistributionPoint]

        :param tags: A list of tags associated with the distribution point metric.
        :type tags: [str], optional

        :param type: The type of the distribution point.
        :type type: DistributionPointsType, optional
        """
        if host is not unset:
            kwargs['host'] = host
        if tags is not unset:
            kwargs['tags'] = tags
        if type is not unset:
            kwargs['type'] = type
        super().__init__(kwargs)
        self_.metric = metric
        self_.points = points

<mask token>


class DistributionPointsSeries(ModelNormal):

    @cached_property
    def openapi_types(_):
        from datadog_api_client.v1.model.distribution_point import DistributionPoint
        from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType
        return {'host': (str,), 'metric': (str,), 'points': ([
            DistributionPoint],), 'tags': ([str],), 'type': (
            DistributionPointsType,)}
    attribute_map = {'host': 'host', 'metric': 'metric', 'points': 'points',
        'tags': 'tags', 'type': 'type'}

    def __init__(self_, metric: str, points: List[DistributionPoint], host:
        Union[str, UnsetType]=unset, tags: Union[List[str], UnsetType]=
        unset, type: Union[DistributionPointsType, UnsetType]=unset, **kwargs):
        """
        A distribution points metric to submit to Datadog.

        :param host: The name of the host that produced the distribution point metric.
        :type host: str, optional

        :param metric: The name of the distribution points metric.
        :type metric: str

        :param points: Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
        :type points: [DistributionPoint]

        :param tags: A list of tags associated with the distribution point metric.
        :type tags: [str], optional

        :param type: The type of the distribution point.
        :type type: DistributionPointsType, optional
        """
        if host is not unset:
            kwargs['host'] = host
        if tags is not unset:
            kwargs['tags'] = tags
        if type is not unset:
            kwargs['type'] = type
        super().__init__(kwargs)
        self_.metric = metric
        self_.points = points

<mask token>
if TYPE_CHECKING:
    from datadog_api_client.v1.model.distribution_point import DistributionPoint
    from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType


class DistributionPointsSeries(ModelNormal):

    @cached_property
    def openapi_types(_):
        from datadog_api_client.v1.model.distribution_point import DistributionPoint
        from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType
        return {'host': (str,), 'metric': (str,), 'points': ([
            DistributionPoint],), 'tags': ([str],), 'type': (
            DistributionPointsType,)}
    attribute_map = {'host': 'host', 'metric': 'metric', 'points': 'points',
        'tags': 'tags', 'type': 'type'}

    def __init__(self_, metric: str, points: List[DistributionPoint], host:
        Union[str, UnsetType]=unset, tags: Union[List[str], UnsetType]=
        unset, type: Union[DistributionPointsType, UnsetType]=unset, **kwargs):
        """
        A distribution points metric to submit to Datadog.

        :param host: The name of the host that produced the distribution point metric.
        :type host: str, optional

        :param metric: The name of the distribution points metric.
        :type metric: str

        :param points: Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
        :type points: [DistributionPoint]

        :param tags: A list of tags associated with the distribution point metric.
        :type tags: [str], optional

        :param type: The type of the distribution point.
        :type type: DistributionPointsType, optional
        """
        if host is not unset:
            kwargs['host'] = host
        if tags is not unset:
            kwargs['tags'] = tags
        if type is not unset:
            kwargs['type'] = type
        super().__init__(kwargs)
        self_.metric = metric
        self_.points = points

from __future__ import annotations
from typing import List, Union, TYPE_CHECKING
from datadog_api_client.model_utils import ModelNormal, cached_property, unset, UnsetType
if TYPE_CHECKING:
    from datadog_api_client.v1.model.distribution_point import DistributionPoint
    from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType


class DistributionPointsSeries(ModelNormal):

    @cached_property
    def openapi_types(_):
        from datadog_api_client.v1.model.distribution_point import DistributionPoint
        from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType
        return {'host': (str,), 'metric': (str,), 'points': ([
            DistributionPoint],), 'tags': ([str],), 'type': (
            DistributionPointsType,)}
    attribute_map = {'host': 'host', 'metric': 'metric', 'points': 'points',
        'tags': 'tags', 'type': 'type'}

    def __init__(self_, metric: str, points: List[DistributionPoint], host:
        Union[str, UnsetType]=unset, tags: Union[List[str], UnsetType]=
        unset, type: Union[DistributionPointsType, UnsetType]=unset, **kwargs):
        """
        A distribution points metric to submit to Datadog.

        :param host: The name of the host that produced the distribution point metric.
        :type host: str, optional

        :param metric: The name of the distribution points metric.
        :type metric: str

        :param points: Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
        :type points: [DistributionPoint]

        :param tags: A list of tags associated with the distribution point metric.
        :type tags: [str], optional

        :param type: The type of the distribution point.
        :type type: DistributionPointsType, optional
        """
        if host is not unset:
            kwargs['host'] = host
        if tags is not unset:
            kwargs['tags'] = tags
        if type is not unset:
            kwargs['type'] = type
        super().__init__(kwargs)
        self_.metric = metric
        self_.points = points

# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from __future__ import annotations

from typing import List, Union, TYPE_CHECKING

from datadog_api_client.model_utils import (
    ModelNormal,
    cached_property,
    unset,
    UnsetType,
)


if TYPE_CHECKING:
    from datadog_api_client.v1.model.distribution_point import DistributionPoint
    from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType


class DistributionPointsSeries(ModelNormal):
    @cached_property
    def openapi_types(_):
        from datadog_api_client.v1.model.distribution_point import DistributionPoint
        from datadog_api_client.v1.model.distribution_points_type import DistributionPointsType

        return {
            "host": (str,),
            "metric": (str,),
            "points": ([DistributionPoint],),
            "tags": ([str],),
            "type": (DistributionPointsType,),
        }

    attribute_map = {
        "host": "host",
        "metric": "metric",
        "points": "points",
        "tags": "tags",
        "type": "type",
    }

    def __init__(
        self_,
        metric: str,
        points: List[DistributionPoint],
        host: Union[str, UnsetType] = unset,
        tags: Union[List[str], UnsetType] = unset,
        type: Union[DistributionPointsType, UnsetType] = unset,
        **kwargs,
    ):
        """
        A distribution points metric to submit to Datadog.

        :param host: The name of the host that produced the distribution point metric.
        :type host: str, optional

        :param metric: The name of the distribution points metric.
        :type metric: str

        :param points: Points relating to the distribution point metric. All points must be tuples with timestamp and a list of values (cannot be a string). Timestamps should be in POSIX time in seconds.
        :type points: [DistributionPoint]

        :param tags: A list of tags associated with the distribution point metric.
        :type tags: [str], optional

        :param type: The type of the distribution point.
        :type type: DistributionPointsType, optional
        """
        if host is not unset:
            kwargs["host"] = host
        if tags is not unset:
            kwargs["tags"] = tags
        if type is not unset:
            kwargs["type"] = type
        super().__init__(kwargs)

        self_.metric = metric
        self_.points = points
