import copy
from datetime import datetime, timedelta, timezone
from decimal import Decimal
from operator import itemgetter
from uuid import uuid4

import boto3
import pytest
from botocore.exceptions import ClientError
from dateutil.tz import tzutc
from freezegun import freeze_time

from moto import mock_cloudwatch, mock_s3
from moto.core import DEFAULT_ACCOUNT_ID as ACCOUNT_ID
from moto.core.utils import utcnow


@mock_cloudwatch
def test_put_metric_data_no_dimensions():
    conn = boto3.client("cloudwatch", region_name="us-east-1")

    conn.put_metric_data(
        Namespace="tester", MetricData=[dict(MetricName="metric", Value=1.5)]
    )

    metrics = conn.list_metrics()["Metrics"]
    assert {"Namespace": "tester", "MetricName": "metric", "Dimensions": []} in metrics


@mock_cloudwatch
def test_put_metric_data_can_not_have_nan():
    client = boto3.client("cloudwatch", region_name="us-west-2")
    utc_now = datetime.now(tz=timezone.utc)
    with pytest.raises(ClientError) as exc:
        client.put_metric_data(
            Namespace="mynamespace",
            MetricData=[
                {
                    "MetricName": "mymetric",
                    "Timestamp": utc_now,
                    "Value": Decimal("NaN"),
                    "Unit": "Count",
                }
            ],
        )
    err = exc.value.response["Error"]
    assert err["Code"] == "InvalidParameterValue"
    assert (
        err["Message"]
        == "The value NaN for parameter MetricData.member.1.Value is invalid."
    )


@mock_cloudwatch
def test_put_metric_data_can_not_have_value_and_values():
    client = boto3.client("cloudwatch", region_name="us-west-2")
    utc_now = datetime.now(tz=timezone.utc)
    with pytest.raises(ClientError) as exc:
        client.put_metric_data(
            Namespace="mynamespace",
            MetricData=[
                {
                    "MetricName": "mymetric",
                    "Timestamp": utc_now,
                    "Value": 1.5,
                    "Values": [1.0, 10.0],
                    "Unit": "Count",
                }
            ],
        )
    err = exc.value.response["Error"]
    assert err["Code"] == "InvalidParameterValue"
    assert (
        err["Message"]
        == "The parameters MetricData.member.1.Value and MetricData.member.1.Values are mutually exclusive and you have specified both."
    )


@mock_cloudwatch
def test_put_metric_data_can_not_have_and_values_mismatched_counts():
    client = boto3.client("cloudwatch", region_name="us-west-2")
    utc_now = datetime.now(tz=timezone.utc)
    with pytest.raises(ClientError) as exc:
        client.put_metric_data(
            Namespace="mynamespace",
            MetricData=[
                {
                    "MetricName": "mymetric",
                    "Timestamp": utc_now,
                    "Values": [1.0, 10.0],
                    "Counts": [2, 4, 1],
                    "Unit": "Count",
                }
            ],
        )
    err = exc.value.response["Error"]
    assert err["Code"] == "InvalidParameterValue"
    assert (
        err["Message"]
        == "The parameters MetricData.member.1.Values and MetricData.member.1.Counts must be of the same size."
    )


@mock_cloudwatch
def test_put_metric_data_values_and_counts():
    client = boto3.client("cloudwatch", region_name="us-west-2")
    utc_now = datetime.now(tz=timezone.utc)
    namespace = "values"
    metric = "mymetric"
    client.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": metric,
                "Timestamp": utc_now,
                "Values": [1.0, 10.0],
                "Counts": [2, 4],
            }
        ],
    )
    stats = client.get_metric_statistics(
        Namespace=namespace,
        MetricName=metric,
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
        Period=60,
        Statistics=["SampleCount", "Sum", "Maximum"],
    )
    datapoint = stats["Datapoints"][0]
    assert datapoint["SampleCount"] == 6.0
    assert datapoint["Sum"] == 42.0
    assert datapoint["Maximum"] == 10.0


@mock_cloudwatch
def test_put_metric_data_values_without_counts():
    client = boto3.client("cloudwatch", region_name="us-west-2")
    utc_now = datetime.now(tz=timezone.utc)
    namespace = "values"
    metric = "mymetric"
    client.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": metric,
                "Timestamp": utc_now,
                "Values": [1.0, 10.0, 23.45],
            }
        ],
    )
    stats = client.get_metric_statistics(
        Namespace=namespace,
        MetricName=metric,
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
        Period=60,
        Statistics=["SampleCount", "Sum", "Maximum"],
    )
    datapoint = stats["Datapoints"][0]
    assert datapoint["SampleCount"] == 3.0
    assert datapoint["Sum"] == 34.45
    assert datapoint["Maximum"] == 23.45


@mock_cloudwatch
def test_put_metric_data_value_and_statistics():
    conn = boto3.client("cloudwatch", region_name="us-east-1")
    with pytest.raises(ClientError) as exc:
        conn.put_metric_data(
            Namespace="statistics",
            MetricData=[
                dict(
                    MetricName="stats",
                    Value=123.0,
                    StatisticValues=dict(
                        Sum=10.0, Maximum=9.0, Minimum=1.0, SampleCount=2
                    ),
                )
            ],
        )
    err = exc.value.response["Error"]
    assert err["Code"] == "InvalidParameterCombination"
    assert (
        err["Message"]
        == "The parameters MetricData.member.1.Value and MetricData.member.1.StatisticValues are mutually exclusive and you have specified both."
    )


@mock_cloudwatch
def test_put_metric_data_with_statistics():
    conn = boto3.client("cloudwatch", region_name="us-east-1")
    utc_now = datetime.now(tz=timezone.utc)

    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName="statmetric",
                Timestamp=utc_now,
                # no Value to test  https://github.com/getmoto/moto/issues/1615
                StatisticValues=dict(
                    SampleCount=3.0, Sum=123.0, Maximum=100.0, Minimum=12.0
                ),
                Unit="Milliseconds",
                StorageResolution=123,
            )
        ],
    )

    metrics = conn.list_metrics()["Metrics"]
    assert {
        "Namespace": "tester",
        "MetricName": "statmetric",
        "Dimensions": [],
    } in metrics

    stats = conn.get_metric_statistics(
        Namespace="tester",
        MetricName="statmetric",
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
        Period=60,
        Statistics=["SampleCount", "Sum", "Maximum", "Minimum", "Average"],
    )

    assert len(stats["Datapoints"]) == 1
    datapoint = stats["Datapoints"][0]
    assert datapoint["SampleCount"] == 3.0
    assert datapoint["Sum"] == 123.0
    assert datapoint["Minimum"] == 12.0
    assert datapoint["Maximum"] == 100.0
    assert datapoint["Average"] == 41.0

    # add single value
    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName="statmetric",
                Timestamp=utc_now,
                Value=101.0,
                Unit="Milliseconds",
            )
        ],
    )
    # check stats again - should have changed, because there is one more datapoint
    stats = conn.get_metric_statistics(
        Namespace="tester",
        MetricName="statmetric",
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
        Period=60,
        Statistics=["SampleCount", "Sum", "Maximum", "Minimum", "Average"],
    )

    assert len(stats["Datapoints"]) == 1
    datapoint = stats["Datapoints"][0]
    assert datapoint["SampleCount"] == 4.0
    assert datapoint["Sum"] == 224.0
    assert datapoint["Minimum"] == 12.0
    assert datapoint["Maximum"] == 101.0
    assert datapoint["Average"] == 56.0


@mock_cloudwatch
def test_get_metric_statistics():
    conn = boto3.client("cloudwatch", region_name="us-east-1")
    utc_now = datetime.now(tz=timezone.utc)

    conn.put_metric_data(
        Namespace="tester",
        MetricData=[dict(MetricName="metric", Value=1.5, Timestamp=utc_now)],
    )

    stats = conn.get_metric_statistics(
        Namespace="tester",
        MetricName="metric",
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
        Period=60,
        Statistics=["SampleCount", "Sum"],
    )

    assert len(stats["Datapoints"]) == 1
    datapoint = stats["Datapoints"][0]
    assert datapoint["SampleCount"] == 1.0
    assert datapoint["Sum"] == 1.5


@mock_cloudwatch
def test_get_metric_invalid_parameter_combination():
    conn = boto3.client("cloudwatch", region_name="us-east-1")
    utc_now = datetime.now(tz=timezone.utc)

    conn.put_metric_data(
        Namespace="tester",
        MetricData=[dict(MetricName="metric", Value=1.5, Timestamp=utc_now)],
    )

    with pytest.raises(ClientError) as exc:
        # make request without both statistics or extended statistics parameters
        conn.get_metric_statistics(
            Namespace="tester",
            MetricName="metric",
            StartTime=utc_now - timedelta(seconds=60),
            EndTime=utc_now + timedelta(seconds=60),
            Period=60,
        )

    err = exc.value.response["Error"]
    assert err["Code"] == "InvalidParameterCombination"
    assert err["Message"] == "Must specify either Statistics or ExtendedStatistics"


@mock_cloudwatch
def test_get_metric_statistics_dimensions():
    conn = boto3.client("cloudwatch", region_name="us-east-1")
    utc_now = datetime.now(tz=timezone.utc)

    # put metric data with different dimensions
    dimensions1 = [{"Name": "dim1", "Value": "v1"}]
    dimensions2 = dimensions1 + [{"Name": "dim2", "Value": "v2"}]
    metric_name = "metr-stats-dims"
    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName=metric_name,
                Value=1,
                Timestamp=utc_now,
                Dimensions=dimensions1,
            )
        ],
    )
    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName=metric_name,
                Value=2,
                Timestamp=utc_now,
                Dimensions=dimensions1,
            )
        ],
    )
    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName=metric_name,
                Value=6,
                Timestamp=utc_now,
                Dimensions=dimensions2,
            )
        ],
    )

    # list of (<kwargs>, <expectedSum>, <expectedAverage>)
    params_list = (
        # get metric stats with no restriction on dimensions
        ({}, 9, 3),
        # get metric stats for dimensions1 (should also cover dimensions2)
        ({"Dimensions": dimensions1}, 9, 3),
        # get metric stats for dimensions2 only
        ({"Dimensions": dimensions2}, 6, 6),
    )

    for params in params_list:
        stats = conn.get_metric_statistics(
            Namespace="tester",
            MetricName=metric_name,
            StartTime=utc_now - timedelta(seconds=60),
            EndTime=utc_now + timedelta(seconds=60),
            Period=60,
            Statistics=["Average", "Sum"],
            **params[0],
        )
        assert len(stats["Datapoints"]) == 1
        datapoint = stats["Datapoints"][0]
        assert datapoint["Sum"] == params[1]
        assert datapoint["Average"] == params[2]


@mock_cloudwatch
def test_get_metric_statistics_endtime_sooner_than_starttime():
    # given
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # when
    with pytest.raises(ClientError) as e:
        # get_metric_statistics
        cloudwatch.get_metric_statistics(
            Namespace="tester",
            MetricName="metric",
            StartTime=utc_now + timedelta(seconds=1),
            EndTime=utc_now,
            Period=60,
            Statistics=["SampleCount"],
        )

    # then
    ex = e.value
    assert ex.operation_name == "GetMetricStatistics"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    assert ex.response["Error"]["Code"] == "InvalidParameterValue"
    assert (
        ex.response["Error"]["Message"]
        == "The parameter StartTime must be less than the parameter EndTime."
    )


@mock_cloudwatch
def test_get_metric_statistics_starttime_endtime_equals():
    # given
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # when
    with pytest.raises(ClientError) as e:
        # get_metric_statistics
        cloudwatch.get_metric_statistics(
            Namespace="tester",
            MetricName="metric",
            StartTime=utc_now,
            EndTime=utc_now,
            Period=60,
            Statistics=["SampleCount"],
        )

    # then
    ex = e.value
    assert ex.operation_name == "GetMetricStatistics"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    assert ex.response["Error"]["Code"] == "InvalidParameterValue"
    assert (
        ex.response["Error"]["Message"]
        == "The parameter StartTime must be less than the parameter EndTime."
    )


@mock_cloudwatch
def test_get_metric_statistics_starttime_endtime_within_1_second():
    # given
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # when
    with pytest.raises(ClientError) as e:
        # get_metric_statistics
        cloudwatch.get_metric_statistics(
            Namespace="tester",
            MetricName="metric",
            StartTime=utc_now.replace(microsecond=20 * 1000),
            EndTime=utc_now.replace(microsecond=987 * 1000),
            Period=60,
            Statistics=["SampleCount"],
        )

    # then
    ex = e.value
    assert ex.operation_name == "GetMetricStatistics"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    assert ex.response["Error"]["Code"] == "InvalidParameterValue"
    assert (
        ex.response["Error"]["Message"]
        == "The parameter StartTime must be less than the parameter EndTime."
    )


@mock_cloudwatch
def test_get_metric_statistics_starttime_endtime_ignore_miliseconds():
    cloudwatch = boto3.client("cloudwatch", region_name="us-east-1")
    utc_now = datetime.now(tz=timezone.utc)

    cloudwatch.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName="metric",
                Value=1.5,
                Timestamp=utc_now.replace(microsecond=200 * 1000),
            )
        ],
    )

    stats = cloudwatch.get_metric_statistics(
        Namespace="tester",
        MetricName="metric",
        StartTime=utc_now.replace(microsecond=999 * 1000),
        EndTime=utc_now + timedelta(seconds=1),
        Period=60,
        Statistics=["SampleCount", "Sum"],
    )

    assert len(stats["Datapoints"]) == 1
    datapoint = stats["Datapoints"][0]
    assert datapoint["SampleCount"] == 1.0
    assert datapoint["Sum"] == 1.5


@mock_cloudwatch
def test_duplicate_put_metric_data():
    conn = boto3.client("cloudwatch", region_name="us-east-1")
    utc_now = datetime.now(tz=timezone.utc)

    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName="metric",
                Dimensions=[{"Name": "Name", "Value": "B"}],
                Value=1.5,
                Timestamp=utc_now,
            )
        ],
    )

    result = conn.list_metrics(
        Namespace="tester", Dimensions=[{"Name": "Name", "Value": "B"}]
    )["Metrics"]
    assert len(result) == 1

    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName="metric",
                Dimensions=[{"Name": "Name", "Value": "B"}],
                Value=1.5,
                Timestamp=utc_now,
            )
        ],
    )

    result = conn.list_metrics(
        Namespace="tester", Dimensions=[{"Name": "Name", "Value": "B"}]
    )["Metrics"]
    assert len(result) == 1
    assert result == [
        {
            "Namespace": "tester",
            "MetricName": "metric",
            "Dimensions": [{"Name": "Name", "Value": "B"}],
        }
    ]

    conn.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(
                MetricName="metric",
                Dimensions=[
                    {"Name": "Name", "Value": "B"},
                    {"Name": "Name", "Value": "C"},
                ],
                Value=1.5,
                Timestamp=utc_now,
            )
        ],
    )

    result = conn.list_metrics(
        Namespace="tester", Dimensions=[{"Name": "Name", "Value": "B"}]
    )["Metrics"]
    assert result == [
        {
            "Namespace": "tester",
            "MetricName": "metric",
            "Dimensions": [{"Name": "Name", "Value": "B"}],
        },
        {
            "Namespace": "tester",
            "MetricName": "metric",
            "Dimensions": [
                {"Name": "Name", "Value": "B"},
                {"Name": "Name", "Value": "C"},
            ],
        },
    ]

    result = conn.list_metrics(
        Namespace="tester", Dimensions=[{"Name": "Name", "Value": "C"}]
    )["Metrics"]
    assert result == [
        {
            "Namespace": "tester",
            "MetricName": "metric",
            "Dimensions": [
                {"Name": "Name", "Value": "B"},
                {"Name": "Name", "Value": "C"},
            ],
        }
    ]


@mock_cloudwatch
@freeze_time("2020-02-10 18:44:05")
def test_custom_timestamp():
    utc_now = datetime.now(tz=timezone.utc)
    time = "2020-02-10T18:44:09Z"
    cw = boto3.client("cloudwatch", "eu-west-1")

    cw.put_metric_data(
        Namespace="tester",
        MetricData=[dict(MetricName="metric1", Value=1.5, Timestamp=time)],
    )

    cw.put_metric_data(
        Namespace="tester",
        MetricData=[
            dict(MetricName="metric2", Value=1.5, Timestamp=datetime(2020, 2, 10))
        ],
    )

    resp = cw.get_metric_statistics(
        Namespace="tester",
        MetricName="metric",
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
        Period=60,
        Statistics=["SampleCount", "Sum"],
    )
    assert resp["Datapoints"] == []


@mock_cloudwatch
def test_list_metrics():
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    # Verify namespace has to exist
    res = cloudwatch.list_metrics(Namespace="unknown/")["Metrics"]
    assert res == []
    # Create some metrics to filter on
    create_metrics(cloudwatch, namespace="list_test_1/", metrics=4, data_points=2)
    create_metrics(cloudwatch, namespace="list_test_2/", metrics=4, data_points=2)
    # Verify we can retrieve everything
    res = cloudwatch.list_metrics()["Metrics"]
    assert len(res) >= 16  # 2 namespaces * 4 metrics * 2 data points
    # Verify we can filter by namespace/metric name
    res = cloudwatch.list_metrics(Namespace="list_test_1/")["Metrics"]
    assert len(res) == 8  # 1 namespace * 4 metrics * 2 data points
    res = cloudwatch.list_metrics(Namespace="list_test_1/", MetricName="metric1")[
        "Metrics"
    ]
    assert len(res) == 2  # 1 namespace * 1 metrics * 2 data points
    # Verify format
    assert res == [
        {"Namespace": "list_test_1/", "Dimensions": [], "MetricName": "metric1"},
        {"Namespace": "list_test_1/", "Dimensions": [], "MetricName": "metric1"},
    ]
    # Verify unknown namespace still has no results
    res = cloudwatch.list_metrics(Namespace="unknown/")["Metrics"]
    assert res == []


@mock_cloudwatch
def test_list_metrics_paginated():
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    # Verify that only a single page of metrics is returned
    assert "NextToken" not in cloudwatch.list_metrics()

    # Verify we can't pass a random NextToken
    with pytest.raises(ClientError) as e:
        cloudwatch.list_metrics(NextToken=str(uuid4()))
    assert (
        e.value.response["Error"]["Message"] == "Request parameter NextToken is invalid"
    )

    # Add a boatload of metrics
    create_metrics(cloudwatch, namespace="test", metrics=100, data_points=1)
    # Verify that a single page is returned until we've reached 500
    first_page = cloudwatch.list_metrics(Namespace="test")
    assert len(first_page["Metrics"]) == 100

    assert len(first_page["Metrics"]) == 100
    create_metrics(cloudwatch, namespace="test", metrics=200, data_points=2)
    first_page = cloudwatch.list_metrics(Namespace="test")
    assert len(first_page["Metrics"]) == 500
    assert "NextToken" not in first_page
    # Verify that adding more data points results in pagination
    create_metrics(cloudwatch, namespace="test", metrics=60, data_points=10)
    first_page = cloudwatch.list_metrics(Namespace="test")
    assert len(first_page["Metrics"]) == 500

    # Retrieve second page - and verify there's more where that came from
    second_page = cloudwatch.list_metrics(
        Namespace="test", NextToken=first_page["NextToken"]
    )
    assert len(second_page["Metrics"]) == 500

    # Last page should only have the last 100 results, and no NextToken (indicating that pagination is finished)
    third_page = cloudwatch.list_metrics(
        Namespace="test", NextToken=second_page["NextToken"]
    )
    assert len(third_page["Metrics"]) == 100
    assert "NextToken" not in third_page
    # Verify that we can't reuse an existing token
    with pytest.raises(ClientError) as e:
        cloudwatch.list_metrics(Namespace="test", NextToken=first_page["NextToken"])
    assert (
        e.value.response["Error"]["Message"] == "Request parameter NextToken is invalid"
    )


@mock_cloudwatch
def test_list_metrics_without_value():
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    # Create some metrics to filter on
    create_metrics_with_dimensions(cloudwatch, namespace="MyNamespace", data_points=3)
    # Verify we can filter by namespace/metric name
    res = cloudwatch.list_metrics(Namespace="MyNamespace")["Metrics"]
    assert len(res) == 3
    # Verify we can filter by Dimension without value
    results = cloudwatch.list_metrics(
        Namespace="MyNamespace", MetricName="MyMetric", Dimensions=[{"Name": "D1"}]
    )["Metrics"]

    assert len(results) == 1
    assert results[0]["Namespace"] == "MyNamespace"
    assert results[0]["MetricName"] == "MyMetric"
    assert results[0]["Dimensions"] == [{"Name": "D1", "Value": "V1"}]


@mock_cloudwatch
def test_list_metrics_with_same_dimensions_different_metric_name():
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # create metrics with same namespace and dimensions but different metric names
    cloudwatch.put_metric_data(
        Namespace="unique/",
        MetricData=[
            {
                "MetricName": "metric1",
                "Dimensions": [{"Name": "D1", "Value": "V1"}],
                "Unit": "Seconds",
            }
        ],
    )

    cloudwatch.put_metric_data(
        Namespace="unique/",
        MetricData=[
            {
                "MetricName": "metric2",
                "Dimensions": [{"Name": "D1", "Value": "V1"}],
                "Unit": "Seconds",
            }
        ],
    )

    results = cloudwatch.list_metrics(Namespace="unique/")["Metrics"]
    assert len(results) == 2

    # duplicating existing metric
    cloudwatch.put_metric_data(
        Namespace="unique/",
        MetricData=[
            {
                "MetricName": "metric1",
                "Dimensions": [{"Name": "D1", "Value": "V1"}],
                "Unit": "Seconds",
            }
        ],
    )

    # asserting only unique values are returned
    results = cloudwatch.list_metrics(Namespace="unique/")["Metrics"]
    assert len(results) == 2


def create_metrics(cloudwatch, namespace, metrics=5, data_points=5):
    for i in range(0, metrics):
        metric_name = "metric" + str(i)
        for j in range(0, data_points):
            cloudwatch.put_metric_data(
                Namespace=namespace,
                MetricData=[{"MetricName": metric_name, "Value": j, "Unit": "Seconds"}],
            )


def create_metrics_with_dimensions(cloudwatch, namespace, data_points=5):
    for j in range(0, data_points):
        cloudwatch.put_metric_data(
            Namespace=namespace,
            MetricData=[
                {
                    "MetricName": "MyMetric",
                    "Dimensions": [{"Name": f"D{j}", "Value": f"V{j}"}],
                    "Unit": "Seconds",
                }
            ],
        )


@mock_cloudwatch
def test_get_metric_data_for_multiple_metrics_w_same_dimensions():
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace = "my_namespace/"
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Dimensions": [{"Name": "Name", "Value": "B"}],
                "Value": 50,
            },
            {
                "MetricName": "metric2",
                "Dimensions": [{"Name": "Name", "Value": "B"}],
                "Value": 25,
                "Unit": "Microseconds",
            },
        ],
    )
    # get_metric_data 1
    response1 = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result1",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                        "Dimensions": [{"Name": "Name", "Value": "B"}],
                    },
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )
    #
    assert len(response1["MetricDataResults"]) == 1

    res1 = response1["MetricDataResults"][0]
    assert res1["Values"] == [50.0]

    # get_metric_data 2
    response2 = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result2",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric2",
                        "Dimensions": [{"Name": "Name", "Value": "B"}],
                    },
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )
    #
    assert len(response2["MetricDataResults"]) == 1

    res2 = response2["MetricDataResults"][0]
    assert res2["Values"] == [25.0]


@mock_cloudwatch
def test_get_metric_data_within_timeframe():
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace1 = "my_namespace/"
    # put metric data
    values = [0, 2, 4, 3.5, 7, 100]
    cloudwatch.put_metric_data(
        Namespace=namespace1,
        MetricData=[
            {"MetricName": "metric1", "Value": val, "Unit": "Seconds"} for val in values
        ],
    )
    # get_metric_data
    stats = ["Average", "Sum", "Minimum", "Maximum"]
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result_" + stat,
                "MetricStat": {
                    "Metric": {"Namespace": namespace1, "MetricName": "metric1"},
                    "Period": 60,
                    "Stat": stat,
                },
            }
            for stat in stats
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )
    #
    # Assert Average/Min/Max/Sum is returned as expected
    avg = [
        res for res in response["MetricDataResults"] if res["Id"] == "result_Average"
    ][0]
    assert avg["Label"] == "metric1 Average"
    assert avg["StatusCode"] == "Complete"
    assert [int(val) for val in avg["Values"]] == [19]

    sum_ = [res for res in response["MetricDataResults"] if res["Id"] == "result_Sum"][
        0
    ]
    assert sum_["Label"] == "metric1 Sum"
    assert sum_["StatusCode"] == "Complete"
    assert [val for val in sum_["Values"]] == [sum(values)]

    min_ = [
        res for res in response["MetricDataResults"] if res["Id"] == "result_Minimum"
    ][0]
    assert min_["Label"] == "metric1 Minimum"
    assert min_["StatusCode"] == "Complete"
    assert [int(val) for val in min_["Values"]] == [0]

    max_ = [
        res for res in response["MetricDataResults"] if res["Id"] == "result_Maximum"
    ][0]
    assert max_["Label"] == "metric1 Maximum"
    assert max_["StatusCode"] == "Complete"
    assert [int(val) for val in max_["Values"]] == [100]


@mock_cloudwatch
def test_get_metric_data_partially_within_timeframe():
    utc_now = datetime.now(tz=timezone.utc)
    yesterday = utc_now - timedelta(days=1)
    last_week = utc_now - timedelta(days=7)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace1 = "my_namespace/"
    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace1,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 10,
                "Unit": "Seconds",
                "Timestamp": utc_now,
            }
        ],
    )
    cloudwatch.put_metric_data(
        Namespace=namespace1,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 20,
                "Unit": "Seconds",
                "Timestamp": yesterday,
            }
        ],
    )

    cloudwatch.put_metric_data(
        Namespace=namespace1,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 50,
                "Unit": "Seconds",
                "Timestamp": last_week,
            },
            {
                "MetricName": "metric1",
                "Value": 10,
                "Unit": "Seconds",
                "Timestamp": last_week + timedelta(seconds=10),
            },
            {
                "MetricName": "metric1",
                "Value": 20,
                "Unit": "Seconds",
                "Timestamp": last_week + timedelta(seconds=15),
            },
            {
                "MetricName": "metric1",
                "Value": 40,
                "Unit": "Seconds",
                "Timestamp": last_week + timedelta(seconds=30),
            },
        ],
    )

    # data for average, min, max

    def get_data(start, end, stat="Sum", scanBy="TimestampAscending"):
        # get_metric_data
        response = cloudwatch.get_metric_data(
            MetricDataQueries=[
                {
                    "Id": "result",
                    "MetricStat": {
                        "Metric": {"Namespace": namespace1, "MetricName": "metric1"},
                        "Period": 60,
                        "Stat": stat,
                    },
                }
            ],
            StartTime=start,
            EndTime=end,
            ScanBy=scanBy,
        )
        return response

    response = get_data(
        start=yesterday - timedelta(seconds=60), end=utc_now + timedelta(seconds=60)
    )

    # Assert Last week's data is not returned
    assert len(response["MetricDataResults"]) == 1
    sum_ = response["MetricDataResults"][0]
    assert sum_["Label"] == "metric1 Sum"
    assert sum_["StatusCode"] == "Complete"
    assert sum_["Values"] == [20.0, 10.0]
    response = get_data(
        start=yesterday - timedelta(seconds=60),
        end=utc_now + timedelta(seconds=60),
        scanBy="TimestampDescending",
    )
    assert response["MetricDataResults"][0]["Values"] == [10.0, 20.0]

    response = get_data(
        start=last_week - timedelta(seconds=1),
        end=utc_now + timedelta(seconds=60),
        stat="Average",
    )
    # assert average
    assert response["MetricDataResults"][0]["Values"] == [30.0, 20.0, 10.0]

    response = get_data(
        start=last_week - timedelta(seconds=1),
        end=utc_now + timedelta(seconds=60),
        stat="Maximum",
    )
    # assert maximum
    assert response["MetricDataResults"][0]["Values"] == [50.0, 20.0, 10.0]

    response = get_data(
        start=last_week - timedelta(seconds=1),
        end=utc_now + timedelta(seconds=60),
        stat="Minimum",
    )
    # assert minimum
    assert response["MetricDataResults"][0]["Values"] == [10.0, 20.0, 10.0]


@mock_cloudwatch
def test_get_metric_data_outside_timeframe():
    utc_now = datetime.now(tz=timezone.utc)
    last_week = utc_now - timedelta(days=7)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace1 = "my_namespace/"
    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace1,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 50,
                "Unit": "Seconds",
                "Timestamp": last_week,
            }
        ],
    )
    # get_metric_data
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result",
                "MetricStat": {
                    "Metric": {"Namespace": namespace1, "MetricName": "metric1"},
                    "Period": 60,
                    "Stat": "Sum",
                },
            }
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )
    #
    # Assert Last week's data is not returned
    assert len(response["MetricDataResults"]) == 1
    assert response["MetricDataResults"][0]["Id"] == "result"
    assert response["MetricDataResults"][0]["StatusCode"] == "Complete"
    assert response["MetricDataResults"][0]["Values"] == []


@mock_cloudwatch
def test_get_metric_data_for_multiple_metrics():
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace = "my_namespace/"
    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 50,
                "Unit": "Seconds",
                "Timestamp": utc_now,
            }
        ],
    )
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric2",
                "Value": 25,
                "Unit": "Seconds",
                "Timestamp": utc_now,
            }
        ],
    )
    # get_metric_data
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result1",
                "MetricStat": {
                    "Metric": {"Namespace": namespace, "MetricName": "metric1"},
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
            {
                "Id": "result2",
                "MetricStat": {
                    "Metric": {"Namespace": namespace, "MetricName": "metric2"},
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )
    #
    assert len(response["MetricDataResults"]) == 2

    res1 = [res for res in response["MetricDataResults"] if res["Id"] == "result1"][0]
    assert res1["Values"] == [50.0]

    res2 = [res for res in response["MetricDataResults"] if res["Id"] == "result2"][0]
    assert res2["Values"] == [25.0]


@mock_cloudwatch
def test_get_metric_data_for_dimensions():
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace = "my_namespace/"

    # If the metric is created with multiple dimensions, then the data points for that metric can be retrieved only by specifying all the configured dimensions.
    # https://aws.amazon.com/premiumsupport/knowledge-center/cloudwatch-getmetricstatistics-data/
    server_prod = {"Name": "Server", "Value": "Prod"}
    dimension_berlin = [server_prod, {"Name": "Domain", "Value": "Berlin"}]
    dimension_frankfurt = [server_prod, {"Name": "Domain", "Value": "Frankfurt"}]

    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 50,
                "Dimensions": dimension_berlin,
                "Unit": "Seconds",
                "Timestamp": utc_now,
            }
        ],
    )
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 25,
                "Unit": "Seconds",
                "Dimensions": dimension_frankfurt,
                "Timestamp": utc_now,
            }
        ],
    )
    # get_metric_data
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result1",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                        "Dimensions": dimension_frankfurt,
                    },
                    "Period": 60,
                    "Stat": "SampleCount",
                },
            },
            {
                "Id": "result2",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                        "Dimensions": dimension_berlin,
                    },
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
            {
                "Id": "result3",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                        "Dimensions": [server_prod],
                    },
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
            {
                "Id": "result4",
                "MetricStat": {
                    "Metric": {"Namespace": namespace, "MetricName": "metric1"},
                    "Period": 60,
                    "Stat": "Sum",
                },
            },
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )
    #
    assert len(response["MetricDataResults"]) == 4

    res1 = [res for res in response["MetricDataResults"] if res["Id"] == "result1"][0]
    # expect sample count for dimension_frankfurt
    assert res1["Values"] == [1.0]

    res2 = [res for res in response["MetricDataResults"] if res["Id"] == "result2"][0]
    # expect sum for dimension_berlin
    assert res2["Values"] == [50.0]

    res3 = [res for res in response["MetricDataResults"] if res["Id"] == "result3"][0]
    # expect no result, as server_prod is only a part of other dimensions, e.g. there is no match
    assert res3["Values"] == []

    res4 = [res for res in response["MetricDataResults"] if res["Id"] == "result4"][0]
    # expect sum of both metrics, as we did not filter for dimensions
    assert res4["Values"] == [75.0]


@mock_cloudwatch
def test_get_metric_data_for_unit():
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace = "my_namespace/"

    unit = "Seconds"

    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 50,
                "Unit": unit,
                "Timestamp": utc_now,
            },
            {
                "MetricName": "metric1",
                "Value": -50,
                "Timestamp": utc_now,
            },
        ],
    )
    # get_metric_data
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result_without_unit",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                    },
                    "Period": 60,
                    "Stat": "SampleCount",
                },
            },
            {
                "Id": "result_with_unit",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                    },
                    "Period": 60,
                    "Stat": "SampleCount",
                    "Unit": unit,
                },
            },
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )

    expected_values = {
        "result_without_unit": 2.0,
        "result_with_unit": 1.0,
    }

    for id_, expected_value in expected_values.items():
        metric_result_data = list(
            filter(
                lambda result_data: result_data["Id"] == id_,
                response["MetricDataResults"],
            )
        )
        assert len(metric_result_data) == 1
        assert metric_result_data[0]["Values"][0] == expected_value


@mock_cloudwatch
def test_get_metric_data_endtime_sooner_than_starttime():
    # given
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # when
    with pytest.raises(ClientError) as e:
        # get_metric_data
        cloudwatch.get_metric_data(
            MetricDataQueries=[
                {
                    "Id": "test",
                    "MetricStat": {
                        "Metric": {
                            "Namespace": "my_namespace/",
                            "MetricName": "metric1",
                        },
                        "Period": 60,
                        "Stat": "SampleCount",
                    },
                },
            ],
            StartTime=utc_now + timedelta(seconds=1),
            EndTime=utc_now,
        )

    # then
    ex = e.value
    assert ex.operation_name == "GetMetricData"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    err = ex.response["Error"]
    assert err["Code"] == "ValidationError"
    assert err["Message"] == "The parameter EndTime must be greater than StartTime."


@mock_cloudwatch
def test_get_metric_data_starttime_endtime_equals():
    # given
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # when
    with pytest.raises(ClientError) as e:
        # get_metric_data
        cloudwatch.get_metric_data(
            MetricDataQueries=[
                {
                    "Id": "test",
                    "MetricStat": {
                        "Metric": {
                            "Namespace": "my_namespace/",
                            "MetricName": "metric1",
                        },
                        "Period": 60,
                        "Stat": "SampleCount",
                    },
                },
            ],
            StartTime=utc_now,
            EndTime=utc_now,
        )

    # then
    ex = e.value
    assert ex.operation_name == "GetMetricData"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    err = ex.response["Error"]
    assert err["Code"] == "ValidationError"
    assert err["Message"] == "The parameter StartTime must not equal parameter EndTime."


@mock_cloudwatch
def test_get_metric_data_starttime_endtime_within_1_second():
    # given
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")

    # when
    with pytest.raises(ClientError) as e:
        # get_metric_data
        cloudwatch.get_metric_data(
            MetricDataQueries=[
                {
                    "Id": "test",
                    "MetricStat": {
                        "Metric": {
                            "Namespace": "my_namespace/",
                            "MetricName": "metric1",
                        },
                        "Period": 60,
                        "Stat": "SampleCount",
                    },
                },
            ],
            StartTime=utc_now.replace(microsecond=20 * 1000),
            EndTime=utc_now.replace(microsecond=987 * 1000),
        )

    # then
    ex = e.value
    assert ex.operation_name == "GetMetricData"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    assert ex.response["Error"]["Code"] == "ValidationError"
    assert (
        ex.response["Error"]["Message"]
        == "The parameter StartTime must not equal parameter EndTime."
    )


@mock_cloudwatch
def test_get_metric_data_starttime_endtime_ignore_miliseconds():
    utc_now = datetime.now(tz=timezone.utc).replace(microsecond=200 * 1000)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace = "my_namespace/"

    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": -50,
                "Timestamp": utc_now,
            },
        ],
    )
    # get_metric_data
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "test",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                    },
                    "Period": 60,
                    "Stat": "SampleCount",
                },
            },
        ],
        StartTime=utc_now.replace(microsecond=999 * 1000),
        EndTime=(utc_now + timedelta(seconds=1)).replace(microsecond=0),
    )

    assert len(response["MetricDataResults"]) == 1
    assert response["MetricDataResults"][0]["Id"] == "test"
    assert response["MetricDataResults"][0]["Values"][0] == 1.0


@mock_cloudwatch
@mock_s3
def test_cloudwatch_return_s3_metrics():
    utc_now = datetime.now(tz=timezone.utc)
    bucket_name = "examplebucket"
    cloudwatch = boto3.client("cloudwatch", "eu-west-3")

    # given
    s3 = boto3.resource("s3")
    s3_client = boto3.client("s3")
    bucket = s3.Bucket(bucket_name)
    bucket.create(CreateBucketConfiguration={"LocationConstraint": "eu-west-3"})
    bucket.put_object(Body=b"ABCD", Key="file.txt")

    # when
    metrics = cloudwatch.list_metrics(
        Dimensions=[{"Name": "BucketName", "Value": bucket_name}]
    )["Metrics"]

    # then
    assert len(metrics) == 2
    assert {
        "Namespace": "AWS/S3",
        "MetricName": "NumberOfObjects",
        "Dimensions": [
            {"Name": "StorageType", "Value": "AllStorageTypes"},
            {"Name": "BucketName", "Value": bucket_name},
        ],
    } in metrics
    assert {
        "Namespace": "AWS/S3",
        "MetricName": "BucketSizeBytes",
        "Dimensions": [
            {"Name": "StorageType", "Value": "StandardStorage"},
            {"Name": "BucketName", "Value": bucket_name},
        ],
    } in metrics

    # when
    stats = cloudwatch.get_metric_statistics(
        Namespace="AWS/S3",
        MetricName="BucketSizeBytes",
        Dimensions=[
            {"Name": "BucketName", "Value": bucket_name},
            {"Name": "StorageType", "Value": "StandardStorage"},
        ],
        StartTime=utc_now - timedelta(days=2),
        EndTime=utc_now,
        Period=86400,
        Statistics=["Average"],
        Unit="Bytes",
    )

    # then
    assert stats["Label"] == "BucketSizeBytes"
    assert len(stats["Datapoints"]) == 1
    data_point = stats["Datapoints"][0]
    assert data_point["Average"] > 0
    assert data_point["Unit"] == "Bytes"

    # when
    stats = cloudwatch.get_metric_statistics(
        Namespace="AWS/S3",
        MetricName="NumberOfObjects",
        Dimensions=[
            {"Name": "BucketName", "Value": bucket_name},
            {"Name": "StorageType", "Value": "AllStorageTypes"},
        ],
        StartTime=utc_now - timedelta(days=2),
        EndTime=utc_now,
        Period=86400,
        Statistics=["Average"],
    )

    # then
    assert stats["Label"] == "NumberOfObjects"
    assert len(stats["Datapoints"]) == 1
    data_point = stats["Datapoints"][0]
    assert data_point["Average"] == 1
    assert data_point["Unit"] == "Count"

    s3_client.delete_object(Bucket=bucket_name, Key="file.txt")
    s3_client.delete_bucket(Bucket=bucket_name)


@mock_cloudwatch
def test_put_metric_alarm():
    # given
    region_name = "eu-central-1"
    client = boto3.client("cloudwatch", region_name=region_name)
    alarm_name = "test-alarm"
    sns_topic_arn = f"arn:aws:sns:${region_name}:${ACCOUNT_ID}:test-topic"

    # when
    client.put_metric_alarm(
        AlarmName=alarm_name,
        AlarmDescription="test alarm",
        ActionsEnabled=True,
        OKActions=[sns_topic_arn],
        AlarmActions=[sns_topic_arn],
        InsufficientDataActions=[sns_topic_arn],
        MetricName="5XXError",
        Namespace="AWS/ApiGateway",
        Statistic="Sum",
        Dimensions=[
            {"Name": "ApiName", "Value": "test-api"},
            {"Name": "Stage", "Value": "default"},
        ],
        Period=60,
        Unit="Seconds",
        EvaluationPeriods=1,
        DatapointsToAlarm=1,
        Threshold=1.0,
        ComparisonOperator="GreaterThanOrEqualToThreshold",
        TreatMissingData="notBreaching",
        Tags=[{"Key": "key-1", "Value": "value-1"}],
    )

    # then
    alarms = client.describe_alarms(AlarmNames=[alarm_name])["MetricAlarms"]
    assert len(alarms) == 1

    alarm = alarms[0]
    assert alarm["AlarmName"] == alarm_name
    assert (
        alarm["AlarmArn"]
        == f"arn:aws:cloudwatch:{region_name}:{ACCOUNT_ID}:alarm:{alarm_name}"
    )
    assert alarm["AlarmDescription"] == "test alarm"
    assert alarm["AlarmConfigurationUpdatedTimestamp"].tzinfo == tzutc()
    assert alarm["ActionsEnabled"] is True
    assert alarm["OKActions"] == [sns_topic_arn]
    assert alarm["AlarmActions"] == [sns_topic_arn]
    assert alarm["InsufficientDataActions"] == [sns_topic_arn]
    assert alarm["StateValue"] == "OK"
    assert alarm["StateReason"] == "Unchecked: Initial alarm creation"
    assert alarm["StateUpdatedTimestamp"].tzinfo == tzutc()
    assert alarm["MetricName"] == "5XXError"
    assert alarm["Namespace"] == "AWS/ApiGateway"
    assert alarm["Statistic"] == "Sum"
    assert sorted(alarm["Dimensions"], key=itemgetter("Name")) == [
        {"Name": "ApiName", "Value": "test-api"},
        {"Name": "Stage", "Value": "default"},
    ]
    assert alarm["Period"] == 60
    assert alarm["Unit"] == "Seconds"
    assert alarm["EvaluationPeriods"] == 1
    assert alarm["DatapointsToAlarm"] == 1
    assert alarm["Threshold"] == 1.0
    assert alarm["ComparisonOperator"] == "GreaterThanOrEqualToThreshold"
    assert alarm["TreatMissingData"] == "notBreaching"


@mock_cloudwatch
def test_put_metric_alarm_with_percentile():
    # given
    region_name = "eu-central-1"
    client = boto3.client("cloudwatch", region_name=region_name)
    alarm_name = "test-alarm"

    # when
    client.put_metric_alarm(
        AlarmName=alarm_name,
        AlarmDescription="test alarm",
        ActionsEnabled=True,
        MetricName="5XXError",
        Namespace="AWS/ApiGateway",
        ExtendedStatistic="p90",
        Dimensions=[
            {"Name": "ApiName", "Value": "test-api"},
            {"Name": "Stage", "Value": "default"},
        ],
        Period=60,
        Unit="Seconds",
        EvaluationPeriods=1,
        DatapointsToAlarm=1,
        Threshold=1.0,
        ComparisonOperator="GreaterThanOrEqualToThreshold",
        TreatMissingData="notBreaching",
        EvaluateLowSampleCountPercentile="ignore",
    )

    # then
    alarms = client.describe_alarms(AlarmNames=[alarm_name])["MetricAlarms"]
    assert len(alarms) == 1

    alarm = alarms[0]
    assert alarm["AlarmName"] == alarm_name
    assert (
        alarm["AlarmArn"]
        == f"arn:aws:cloudwatch:{region_name}:{ACCOUNT_ID}:alarm:{alarm_name}"
    )
    assert alarm["AlarmDescription"] == "test alarm"
    assert alarm["AlarmConfigurationUpdatedTimestamp"].tzinfo == tzutc()
    assert alarm["ActionsEnabled"] is True
    assert alarm["StateValue"] == "OK"
    assert alarm["StateReason"] == "Unchecked: Initial alarm creation"
    assert alarm["StateUpdatedTimestamp"].tzinfo == tzutc()
    assert alarm["MetricName"] == "5XXError"
    assert alarm["Namespace"] == "AWS/ApiGateway"
    assert alarm["ExtendedStatistic"] == "p90"
    assert sorted(alarm["Dimensions"], key=itemgetter("Name")) == [
        {"Name": "ApiName", "Value": "test-api"},
        {"Name": "Stage", "Value": "default"},
    ]
    assert alarm["Period"] == 60
    assert alarm["Unit"] == "Seconds"
    assert alarm["EvaluationPeriods"] == 1
    assert alarm["DatapointsToAlarm"] == 1
    assert alarm["Threshold"] == 1.0
    assert alarm["ComparisonOperator"] == "GreaterThanOrEqualToThreshold"
    assert alarm["TreatMissingData"] == "notBreaching"
    assert alarm["EvaluateLowSampleCountPercentile"] == "ignore"


@mock_cloudwatch
def test_put_metric_alarm_with_anomaly_detection():
    # given
    region_name = "eu-central-1"
    client = boto3.client("cloudwatch", region_name=region_name)
    alarm_name = "test-alarm"
    metrics = [
        {
            "Id": "m1",
            "ReturnData": True,
            "MetricStat": {
                "Metric": {
                    "MetricName": "CPUUtilization",
                    "Namespace": "AWS/EC2",
                    "Dimensions": [
                        {"Name": "instanceId", "Value": "i-1234567890abcdef0"}
                    ],
                },
                "Stat": "Average",
                "Period": 60,
            },
        },
        {
            "Id": "t1",
            "ReturnData": False,
            "Expression": "ANOMALY_DETECTION_BAND(m1, 3)",
        },
    ]

    # when
    client.put_metric_alarm(
        AlarmName=alarm_name,
        ActionsEnabled=True,
        Metrics=metrics,
        EvaluationPeriods=2,
        ComparisonOperator="GreaterThanOrEqualToThreshold",
        ThresholdMetricId="t1",
    )

    # then
    alarms = client.describe_alarms(AlarmNames=[alarm_name])["MetricAlarms"]
    assert len(alarms) == 1

    alarm = alarms[0]
    assert alarm["AlarmName"] == alarm_name
    assert (
        alarm["AlarmArn"]
        == f"arn:aws:cloudwatch:{region_name}:{ACCOUNT_ID}:alarm:{alarm_name}"
    )
    assert alarm["AlarmConfigurationUpdatedTimestamp"].tzinfo == tzutc()
    assert alarm["StateValue"] == "OK"
    assert alarm["StateReason"] == "Unchecked: Initial alarm creation"
    assert alarm["StateUpdatedTimestamp"].tzinfo == tzutc()
    assert alarm["EvaluationPeriods"] == 2
    assert alarm["ComparisonOperator"] == "GreaterThanOrEqualToThreshold"
    assert alarm["Metrics"] == metrics
    assert alarm["ThresholdMetricId"] == "t1"


@mock_cloudwatch
def test_put_metric_alarm_error_extended_statistic():
    # given
    region_name = "eu-central-1"
    client = boto3.client("cloudwatch", region_name=region_name)
    alarm_name = "test-alarm"

    # when
    with pytest.raises(ClientError) as e:
        client.put_metric_alarm(
            AlarmName=alarm_name,
            ActionsEnabled=True,
            MetricName="5XXError",
            Namespace="AWS/ApiGateway",
            ExtendedStatistic="90",
            Dimensions=[
                {"Name": "ApiName", "Value": "test-api"},
                {"Name": "Stage", "Value": "default"},
            ],
            Period=60,
            Unit="Seconds",
            EvaluationPeriods=1,
            DatapointsToAlarm=1,
            Threshold=1.0,
            ComparisonOperator="GreaterThanOrEqualToThreshold",
            TreatMissingData="notBreaching",
        )

    # then
    ex = e.value
    assert ex.operation_name == "PutMetricAlarm"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    assert ex.response["Error"]["Code"] == "InvalidParameterValue"
    assert (
        ex.response["Error"]["Message"]
        == "The value 90 for parameter ExtendedStatistic is not supported."
    )


@mock_cloudwatch
def test_put_metric_alarm_error_evaluate_low_sample_count_percentile():
    # given
    region_name = "eu-central-1"
    client = boto3.client("cloudwatch", region_name=region_name)
    alarm_name = "test-alarm"

    # when
    with pytest.raises(ClientError) as e:
        client.put_metric_alarm(
            AlarmName=alarm_name,
            ActionsEnabled=True,
            MetricName="5XXError",
            Namespace="AWS/ApiGateway",
            ExtendedStatistic="p90",
            Dimensions=[
                {"Name": "ApiName", "Value": "test-api"},
                {"Name": "Stage", "Value": "default"},
            ],
            Period=60,
            Unit="Seconds",
            EvaluationPeriods=1,
            DatapointsToAlarm=1,
            Threshold=1.0,
            ComparisonOperator="GreaterThanOrEqualToThreshold",
            TreatMissingData="notBreaching",
            EvaluateLowSampleCountPercentile="unknown",
        )

    # then
    ex = e.value
    assert ex.operation_name == "PutMetricAlarm"
    assert ex.response["ResponseMetadata"]["HTTPStatusCode"] == 400
    err = ex.response["Error"]
    assert err["Code"] == "ValidationError"
    assert (
        err["Message"] == "Option unknown is not supported. "
        "Supported options for parameter EvaluateLowSampleCountPercentile are evaluate and ignore."
    )


@mock_cloudwatch
def test_get_metric_data_with_custom_label():
    utc_now = datetime.now(tz=timezone.utc)
    cloudwatch = boto3.client("cloudwatch", "eu-west-1")
    namespace = "my_namespace/"

    label = "MyCustomLabel"

    # put metric data
    cloudwatch.put_metric_data(
        Namespace=namespace,
        MetricData=[
            {
                "MetricName": "metric1",
                "Value": 50,
                "Timestamp": utc_now,
            },
            {
                "MetricName": "metric1",
                "Value": -50,
                "Timestamp": utc_now,
            },
        ],
    )
    # get_metric_data
    response = cloudwatch.get_metric_data(
        MetricDataQueries=[
            {
                "Id": "result_without_custom_label",
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                    },
                    "Period": 60,
                    "Stat": "SampleCount",
                },
            },
            {
                "Id": "result_with_custom_label",
                "Label": label,
                "MetricStat": {
                    "Metric": {
                        "Namespace": namespace,
                        "MetricName": "metric1",
                    },
                    "Period": 60,
                    "Stat": "SampleCount",
                },
            },
        ],
        StartTime=utc_now - timedelta(seconds=60),
        EndTime=utc_now + timedelta(seconds=60),
    )

    expected_values = {
        "result_without_custom_label": "metric1 SampleCount",
        "result_with_custom_label": label,
    }

    for id_, expected_value in expected_values.items():
        metric_result_data = list(
            filter(
                lambda result_data: result_data["Id"] == id_,
                response["MetricDataResults"],
            )
        )
        assert len(metric_result_data) == 1
        assert metric_result_data[0]["Label"] == expected_value


@mock_cloudwatch
def test_get_metric_data_queries():
    """
    verify that >= 10 queries can still be parsed
    there was an error with the order of parsing items, leading to IndexError
    """
    now = utcnow().replace(microsecond=0)
    start_time = now - timedelta(minutes=10)
    end_time = now + timedelta(minutes=5)
    original_query = {
        "MetricStat": {
            "Metric": {
                "Namespace": "AWS/RDS",
                "MetricName": "CPUUtilization",
                "Dimensions": [{"Name": "DBInstanceIdentifier", "Value": ""}],
            },
            "Period": 1,
            "Stat": "Average",
            "Unit": "Percent",
        },
    }

    queries = []
    for i in range(0, 20):
        query = copy.deepcopy(original_query)
        query["Id"] = f"q{i}"
        query["MetricStat"]["Metric"]["Dimensions"][0]["Value"] = f"id-{i}"
        queries.append(query)

    assert len(queries) == 20
    response = boto3.client("cloudwatch", "eu-west-1").get_metric_data(
        StartTime=start_time, EndTime=end_time, MetricDataQueries=queries
    )

    # we expect twenty results
    assert len(response["MetricDataResults"]) == 20
