# Copyright The OpenTelemetry Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import unittest
from math import inf
from unittest import mock

from opentelemetry.sdk import metrics
from opentelemetry.sdk.metrics import Counter, ValueRecorder, view
from opentelemetry.sdk.metrics.export import aggregate
from opentelemetry.sdk.metrics.export.aggregate import (
    HistogramAggregator,
    MinMaxSumCountAggregator,
    SumAggregator,
)
from opentelemetry.sdk.metrics.export.controller import PushController
from opentelemetry.sdk.metrics.export.in_memory_metrics_exporter import (
    InMemoryMetricsExporter,
)
from opentelemetry.sdk.metrics.view import View, ViewConfig


class TestUtil(unittest.TestCase):
    @mock.patch("opentelemetry.sdk.metrics.view.logger")
    def test_default_aggregator(self, logger_mock):
        meter = metrics.MeterProvider().get_meter(__name__)
        counter = metrics.Counter("", "", "1", int, meter)
        self.assertEqual(
            view.get_default_aggregator(counter), aggregate.SumAggregator
        )
        ud_counter = metrics.UpDownCounter("", "", "1", int, meter)
        self.assertEqual(
            view.get_default_aggregator(ud_counter), aggregate.SumAggregator
        )
        observer = metrics.SumObserver(lambda: None, "", "", "1", int)
        self.assertEqual(
            view.get_default_aggregator(observer),
            aggregate.LastValueAggregator,
        )
        ud_observer = metrics.SumObserver(lambda: None, "", "", "1", int)
        self.assertEqual(
            view.get_default_aggregator(ud_observer),
            aggregate.LastValueAggregator,
        )
        recorder = metrics.ValueRecorder("", "", "1", int, meter)
        self.assertEqual(
            view.get_default_aggregator(recorder),
            aggregate.MinMaxSumCountAggregator,
        )
        v_observer = metrics.ValueObserver(lambda: None, "", "", "1", int)
        self.assertEqual(
            view.get_default_aggregator(v_observer),
            aggregate.ValueObserverAggregator,
        )
        self.assertEqual(
            view.get_default_aggregator(DummyMetric()), aggregate.SumAggregator
        )
        self.assertEqual(logger_mock.warning.call_count, 1)


class TestStateless(unittest.TestCase):
    def setUp(self):
        self.meter = metrics.MeterProvider(stateful=False).get_meter(__name__)
        self.exporter = InMemoryMetricsExporter()
        self.controller = PushController(self.meter, self.exporter, 30)

    def tearDown(self):
        self.controller.shutdown()

    def test_label_keys(self):
        test_counter = self.meter.create_metric(
            name="test_counter",
            description="description",
            unit="By",
            value_type=int,
            metric_type=Counter,
        )
        counter_view = View(
            test_counter,
            SumAggregator,
            label_keys=["environment"],
            view_config=ViewConfig.LABEL_KEYS,
        )

        self.meter.register_view(counter_view)
        test_counter.add(6, {"environment": "production", "customer_id": 123})
        test_counter.add(5, {"environment": "production", "customer_id": 247})

        self.controller.tick()

        metric_data = self.exporter.get_exported_metrics()
        self.assertEqual(len(metric_data), 1)
        self.assertEqual(
            metric_data[0].labels, (("environment", "production"),)
        )
        self.assertEqual(metric_data[0].aggregator.checkpoint, 11)

    def test_ungrouped(self):
        test_counter = self.meter.create_metric(
            name="test_counter",
            description="description",
            unit="By",
            value_type=int,
            metric_type=Counter,
        )
        counter_view = View(
            test_counter,
            SumAggregator,
            label_keys=["environment"],
            view_config=ViewConfig.UNGROUPED,
        )

        self.meter.register_view(counter_view)
        test_counter.add(6, {"environment": "production", "customer_id": 123})
        test_counter.add(5, {"environment": "production", "customer_id": 247})

        self.controller.tick()

        metric_data = self.exporter.get_exported_metrics()
        data_set = set()
        for data in metric_data:
            data_set.add((data.labels, data.aggregator.checkpoint))
        self.assertEqual(len(metric_data), 2)
        label1 = (("customer_id", 123), ("environment", "production"))
        label2 = (("customer_id", 247), ("environment", "production"))
        self.assertTrue((label1, 6) in data_set)
        self.assertTrue((label2, 5) in data_set)

    def test_multiple_views(self):
        test_counter = self.meter.create_metric(
            name="test_counter",
            description="description",
            unit="By",
            value_type=int,
            metric_type=Counter,
        )

        counter_view = View(
            test_counter,
            SumAggregator,
            label_keys=["environment"],
            view_config=ViewConfig.UNGROUPED,
        )

        mmsc_view = View(
            test_counter,
            MinMaxSumCountAggregator,
            label_keys=["environment"],
            view_config=ViewConfig.LABEL_KEYS,
        )

        self.meter.register_view(counter_view)
        self.meter.register_view(mmsc_view)
        test_counter.add(6, {"environment": "production", "customer_id": 123})
        test_counter.add(5, {"environment": "production", "customer_id": 247})

        self.controller.tick()

        metric_data = self.exporter.get_exported_metrics()
        sum_set = set()
        mmsc_set = set()
        for data in metric_data:
            if isinstance(data.aggregator, SumAggregator):
                tup = (data.labels, data.aggregator.checkpoint)
                sum_set.add(tup)
            elif isinstance(data.aggregator, MinMaxSumCountAggregator):
                mmsc_set.add(data)
                self.assertEqual(data.labels, (("environment", "production"),))
                self.assertEqual(data.aggregator.checkpoint.sum, 11)
        # we have to assert this way because order is unknown
        self.assertEqual(len(sum_set), 2)
        self.assertEqual(len(mmsc_set), 1)
        label1 = (("customer_id", 123), ("environment", "production"))
        label2 = (("customer_id", 247), ("environment", "production"))
        self.assertTrue((label1, 6) in sum_set)
        self.assertTrue((label2, 5) in sum_set)


class TestHistogramView(unittest.TestCase):
    def test_histogram_stateful(self):
        meter = metrics.MeterProvider(stateful=True).get_meter(__name__)
        exporter = InMemoryMetricsExporter()
        controller = PushController(meter, exporter, 30)

        requests_size = meter.create_metric(
            name="requests_size",
            description="size of requests",
            unit="1",
            value_type=int,
            metric_type=ValueRecorder,
        )

        size_view = View(
            requests_size,
            HistogramAggregator,
            aggregator_config={"bounds": [20, 40, 60, 80, 100]},
            label_keys=["environment"],
            view_config=ViewConfig.LABEL_KEYS,
        )

        meter.register_view(size_view)

        # Since this is using the HistogramAggregator, the bucket counts will be reflected
        # with each record
        requests_size.record(25, {"environment": "staging", "test": "value"})
        requests_size.record(1, {"environment": "staging", "test": "value2"})
        requests_size.record(200, {"environment": "staging", "test": "value3"})

        controller.tick()

        metrics_list = exporter.get_exported_metrics()
        self.assertEqual(len(metrics_list), 1)
        checkpoint = metrics_list[0].aggregator.checkpoint
        self.assertEqual(
            tuple(checkpoint.items()),
            ((20, 1), (40, 1), (60, 0), (80, 0), (100, 0), (inf, 1)),
        )
        exporter.clear()

        requests_size.record(25, {"environment": "staging", "test": "value"})
        requests_size.record(1, {"environment": "staging", "test": "value2"})
        requests_size.record(200, {"environment": "staging", "test": "value3"})

        controller.tick()

        metrics_list = exporter.get_exported_metrics()
        self.assertEqual(len(metrics_list), 1)
        checkpoint = metrics_list[0].aggregator.checkpoint
        self.assertEqual(
            tuple(checkpoint.items()),
            ((20, 2), (40, 2), (60, 0), (80, 0), (100, 0), (inf, 2)),
        )

    def test_histogram_stateless(self):
        # Use the meter type provided by the SDK package
        meter = metrics.MeterProvider(stateful=False).get_meter(__name__)
        exporter = InMemoryMetricsExporter()
        controller = PushController(meter, exporter, 30)

        requests_size = meter.create_metric(
            name="requests_size",
            description="size of requests",
            unit="1",
            value_type=int,
            metric_type=ValueRecorder,
        )

        size_view = View(
            requests_size,
            HistogramAggregator,
            aggregator_config={"bounds": [20, 40, 60, 80, 100]},
            label_keys=["environment"],
            view_config=ViewConfig.LABEL_KEYS,
        )

        meter.register_view(size_view)

        # Since this is using the HistogramAggregator, the bucket counts will be reflected
        # with each record
        requests_size.record(25, {"environment": "staging", "test": "value"})
        requests_size.record(1, {"environment": "staging", "test": "value2"})
        requests_size.record(200, {"environment": "staging", "test": "value3"})

        controller.tick()

        metrics_list = exporter.get_exported_metrics()
        self.assertEqual(len(metrics_list), 1)
        checkpoint = metrics_list[0].aggregator.checkpoint
        self.assertEqual(
            tuple(checkpoint.items()),
            ((20, 1), (40, 1), (60, 0), (80, 0), (100, 0), (inf, 1)),
        )
        exporter.clear()

        requests_size.record(25, {"environment": "staging", "test": "value"})
        requests_size.record(1, {"environment": "staging", "test": "value2"})
        requests_size.record(200, {"environment": "staging", "test": "value3"})

        controller.tick()

        metrics_list = exporter.get_exported_metrics()
        self.assertEqual(len(metrics_list), 1)
        checkpoint = metrics_list[0].aggregator.checkpoint
        self.assertEqual(
            tuple(checkpoint.items()),
            ((20, 1), (40, 1), (60, 0), (80, 0), (100, 0), (inf, 1)),
        )


class DummyMetric(metrics.Metric):
    # pylint: disable=W0231
    def __init__(self):
        pass
