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    # Copyright 2018 New Vector Ltd
    
    # Copyright 2019 Matrix.org Foundation C.I.C.
    
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    #
    # 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.
    
    
    from synapse.metrics import REGISTRY, InFlightGauge, generate_latest
    
    from synapse.util.caches.deferred_cache import DeferredCache
    
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    from tests import unittest
    
    
    
    def get_sample_labels_value(sample):
    
        """Extract the labels and values of a sample.
    
    
        prometheus_client 0.5 changed the sample type to a named tuple with more
        members than the plain tuple had in 0.4 and earlier. This function can
        extract the labels and value from the sample for both sample types.
    
        Args:
            sample: The sample to get the labels and value from.
        Returns:
            A tuple of (labels, value) from the sample.
        """
    
        # If the sample has a labels and value attribute, use those.
        if hasattr(sample, "labels") and hasattr(sample, "value"):
            return sample.labels, sample.value
        # Otherwise fall back to treating it as a plain 3 tuple.
        else:
            _, labels, value = sample
            return labels, value
    
    
    
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    class TestMauLimit(unittest.TestCase):
        def test_basic(self):
            gauge = InFlightGauge(
    
                "test1", "", labels=["test_label"], sub_metrics=["foo", "bar"]
    
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            )
    
            def handle1(metrics):
                metrics.foo += 2
                metrics.bar = max(metrics.bar, 5)
    
            def handle2(metrics):
                metrics.foo += 3
                metrics.bar = max(metrics.bar, 7)
    
            gauge.register(("key1",), handle1)
    
    
            self.assert_dict(
                {
                    "test1_total": {("key1",): 1},
                    "test1_foo": {("key1",): 2},
                    "test1_bar": {("key1",): 5},
                },
                self.get_metrics_from_gauge(gauge),
            )
    
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            gauge.unregister(("key1",), handle1)
    
    
            self.assert_dict(
                {
                    "test1_total": {("key1",): 0},
                    "test1_foo": {("key1",): 0},
                    "test1_bar": {("key1",): 0},
                },
                self.get_metrics_from_gauge(gauge),
            )
    
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            gauge.register(("key1",), handle1)
            gauge.register(("key2",), handle2)
    
    
            self.assert_dict(
                {
                    "test1_total": {("key1",): 1, ("key2",): 1},
                    "test1_foo": {("key1",): 2, ("key2",): 3},
                    "test1_bar": {("key1",): 5, ("key2",): 7},
                },
                self.get_metrics_from_gauge(gauge),
            )
    
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            gauge.unregister(("key2",), handle2)
            gauge.register(("key1",), handle2)
    
    
            self.assert_dict(
                {
                    "test1_total": {("key1",): 2, ("key2",): 0},
                    "test1_foo": {("key1",): 5, ("key2",): 0},
                    "test1_bar": {("key1",): 7, ("key2",): 0},
                },
                self.get_metrics_from_gauge(gauge),
            )
    
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        def get_metrics_from_gauge(self, gauge):
            results = {}
    
            for r in gauge.collect():
                results[r.name] = {
                    tuple(labels[x] for x in gauge.labels): value
    
                    for labels, value in map(get_sample_labels_value, r.samples)
    
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                }
    
            return results
    
    
    
    class BuildInfoTests(unittest.TestCase):
        def test_get_build(self):
            """
            The synapse_build_info metric reports the OS version, Python version,
            and Synapse version.
            """
            items = list(
                filter(
                    lambda x: b"synapse_build_info{" in x,
                    generate_latest(REGISTRY).split(b"\n"),
                )
            )
            self.assertEqual(len(items), 1)
            self.assertTrue(b"osversion=" in items[0])
            self.assertTrue(b"pythonversion=" in items[0])
            self.assertTrue(b"version=" in items[0])
    
    
    
    class CacheMetricsTests(unittest.HomeserverTestCase):
        def test_cache_metric(self):
            """
            Caches produce metrics reflecting their state when scraped.
            """
            CACHE_NAME = "cache_metrics_test_fgjkbdfg"
    
            cache = DeferredCache(CACHE_NAME, max_entries=777)
    
    
            items = {
                x.split(b"{")[0].decode("ascii"): x.split(b" ")[1].decode("ascii")
                for x in filter(
                    lambda x: b"cache_metrics_test_fgjkbdfg" in x,
                    generate_latest(REGISTRY).split(b"\n"),
                )
            }
    
            self.assertEqual(items["synapse_util_caches_cache_size"], "0.0")
            self.assertEqual(items["synapse_util_caches_cache_max_size"], "777.0")
    
            cache.prefill("1", "hi")
    
            items = {
                x.split(b"{")[0].decode("ascii"): x.split(b" ")[1].decode("ascii")
                for x in filter(
                    lambda x: b"cache_metrics_test_fgjkbdfg" in x,
                    generate_latest(REGISTRY).split(b"\n"),
                )
            }
    
            self.assertEqual(items["synapse_util_caches_cache_size"], "1.0")
            self.assertEqual(items["synapse_util_caches_cache_max_size"], "777.0")