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package integration | ||
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import ( | ||
"fmt" | ||
"io" | ||
"net/http" | ||
"net/http/httptest" | ||
"os" | ||
"testing" | ||
"time" | ||
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"github.com/klauspost/compress/snappy" | ||
"github.com/stretchr/testify/assert" | ||
"github.com/stretchr/testify/require" | ||
"go.k6.io/k6/cloudapi" | ||
"go.k6.io/k6/lib/testutils" | ||
"go.k6.io/k6/lib/types" | ||
"go.k6.io/k6/metrics" | ||
"go.k6.io/k6/output/cloud/expv2" | ||
"go.k6.io/k6/output/cloud/expv2/pbcloud" | ||
"google.golang.org/protobuf/encoding/protojson" | ||
"google.golang.org/protobuf/proto" | ||
"gopkg.in/guregu/null.v3" | ||
) | ||
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// This test runs an integration tests for the Output cloud. | ||
// It only calls public API of the Output and | ||
// it implements a concrete http endpoint where to get | ||
// the protobuf flush requests. | ||
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func TestOutputFlush(t *testing.T) { | ||
// TODO: it has 3s for aggregation time | ||
// then it means it will execute for +3s that it is a waste of time | ||
// because it isn't really required. | ||
// Reduce the aggregation time (to 1s?) then run always. | ||
t.Skip("Skip the integration test, if required enable it manually") | ||
t.Parallel() | ||
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results := make(chan *pbcloud.MetricSet) | ||
ts := httptest.NewServer(metricsHandler(results)) | ||
defer ts.Close() | ||
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// init conifg | ||
c := cloudapi.NewConfig() | ||
c.Host = null.StringFrom(ts.URL) | ||
c.Token = null.StringFrom("my-secret-token") | ||
c.AggregationPeriod = types.NullDurationFrom(3 * time.Second) | ||
c.AggregationWaitPeriod = types.NullDurationFrom(1 * time.Second) | ||
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// init and start the output | ||
o, err := expv2.New(testutils.NewLogger(t), c) | ||
require.NoError(t, err) | ||
o.SetReferenceID("my-test-run-id-123") | ||
require.NoError(t, o.Start()) | ||
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// collect and flush samples | ||
o.AddMetricSamples([]metrics.SampleContainer{ | ||
testSamples(), | ||
}) | ||
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// wait for results | ||
mset := <-results | ||
close(results) | ||
assert.NoError(t, o.StopWithTestError(nil)) | ||
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// read and convert the json version | ||
// of the expected protobuf sent request | ||
var exp pbcloud.MetricSet | ||
expjs, err := os.ReadFile("./testdata/metricset.json") //nolint:forbidigo // ReadFile here is used in a test | ||
require.NoError(t, err) | ||
err = protojson.Unmarshal(expjs, &exp) | ||
require.NoError(t, err) | ||
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msetjs, err := protojson.Marshal(mset) | ||
require.NoError(t, err) | ||
assert.JSONEq(t, string(expjs), string(msetjs)) | ||
} | ||
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func metricsHandler(results chan<- *pbcloud.MetricSet) http.HandlerFunc { | ||
return func(rw http.ResponseWriter, r *http.Request) { | ||
token := r.Header.Get("Authorization") | ||
if token != "Token my-secret-token" { | ||
http.Error(rw, fmt.Sprintf("token is required; got %q", token), http.StatusUnauthorized) | ||
return | ||
} | ||
b, err := io.ReadAll(r.Body) | ||
if err != nil { | ||
http.Error(rw, err.Error(), http.StatusInternalServerError) | ||
return | ||
} | ||
mset, err := metricSetFromRequest(b) | ||
if err != nil { | ||
http.Error(rw, err.Error(), http.StatusInternalServerError) | ||
return | ||
} | ||
results <- mset | ||
} | ||
} | ||
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func metricSetFromRequest(b []byte) (*pbcloud.MetricSet, error) { | ||
b, err := snappy.Decode(nil, b) | ||
if err != nil { | ||
return nil, err | ||
} | ||
var mset pbcloud.MetricSet | ||
err = proto.Unmarshal(b, &mset) | ||
if err != nil { | ||
return nil, err | ||
} | ||
return &mset, nil | ||
} | ||
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func testSamples() metrics.Samples { | ||
r := metrics.NewRegistry() | ||
m1 := r.MustNewMetric("metric_counter_1", metrics.Counter) | ||
m2 := r.MustNewMetric("metric_gauge_2", metrics.Gauge) | ||
m3 := r.MustNewMetric("metric_rate_3", metrics.Rate) | ||
m4 := r.MustNewMetric("metric_trend_4", metrics.Trend) | ||
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samples := []metrics.Sample{ | ||
{ | ||
TimeSeries: metrics.TimeSeries{ | ||
Metric: m1, | ||
Tags: r.RootTagSet().With("my_label_1", "my_label_value_1"), | ||
}, | ||
Time: time.Date(2023, time.May, 1, 1, 0, 0, 0, time.UTC), | ||
Value: 42.2, | ||
}, | ||
{ | ||
TimeSeries: metrics.TimeSeries{ | ||
Metric: m2, | ||
Tags: r.RootTagSet().With("my_label_2", "my_label_value_2"), | ||
}, | ||
Time: time.Date(2023, time.May, 1, 2, 0, 0, 0, time.UTC), | ||
Value: 3.14, | ||
}, | ||
{ | ||
TimeSeries: metrics.TimeSeries{ | ||
Metric: m3, | ||
Tags: r.RootTagSet().With("my_label_3", "my_label_value_3"), | ||
}, | ||
Time: time.Date(2023, time.May, 1, 3, 0, 0, 0, time.UTC), | ||
Value: 2.718, | ||
}, | ||
{ | ||
TimeSeries: metrics.TimeSeries{ | ||
Metric: m4, | ||
Tags: r.RootTagSet().With("my_label_4", "my_label_value_4"), | ||
}, | ||
Time: time.Date(2023, time.May, 1, 4, 0, 0, 0, time.UTC), | ||
Value: 186, | ||
}, | ||
} | ||
return samples | ||
} |
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{ | ||
"metrics": [ | ||
{ | ||
"name": "metric_counter_1", | ||
"type": "METRIC_TYPE_COUNTER", | ||
"timeSeries": [ | ||
{ | ||
"labels": [ | ||
{ | ||
"name": "__name__", | ||
"value": "metric_counter_1" | ||
}, | ||
{ | ||
"name": "test_run_id", | ||
"value": "my-test-run-id-123" | ||
}, | ||
{ | ||
"name": "my_label_1", | ||
"value": "my_label_value_1" | ||
} | ||
], | ||
"aggregationPeriod": 3, | ||
"counterSamples": { | ||
"values": [ | ||
{ | ||
"time": "2023-05-01T01:00:00Z", | ||
"value": 42.2 | ||
} | ||
] | ||
} | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "metric_gauge_2", | ||
"type": "METRIC_TYPE_GAUGE", | ||
"timeSeries": [ | ||
{ | ||
"labels": [ | ||
{ | ||
"name": "__name__", | ||
"value": "metric_gauge_2" | ||
}, | ||
{ | ||
"name": "test_run_id", | ||
"value": "my-test-run-id-123" | ||
}, | ||
{ | ||
"name": "my_label_2", | ||
"value": "my_label_value_2" | ||
} | ||
], | ||
"aggregationPeriod": 3, | ||
"gaugeSamples": { | ||
"values": [ | ||
{ | ||
"time": "2023-05-01T02:00:00Z", | ||
"last": 3.14, | ||
"min": 3.14, | ||
"max": 3.14 | ||
} | ||
] | ||
} | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "metric_rate_3", | ||
"type": "METRIC_TYPE_RATE", | ||
"timeSeries": [ | ||
{ | ||
"labels": [ | ||
{ | ||
"name": "__name__", | ||
"value": "metric_rate_3" | ||
}, | ||
{ | ||
"name": "test_run_id", | ||
"value": "my-test-run-id-123" | ||
}, | ||
{ | ||
"name": "my_label_3", | ||
"value": "my_label_value_3" | ||
} | ||
], | ||
"aggregationPeriod": 3, | ||
"rateSamples": { | ||
"values": [ | ||
{ | ||
"time": "2023-05-01T03:00:00Z", | ||
"nonzeroCount": 1, | ||
"totalCount": 1 | ||
} | ||
] | ||
} | ||
} | ||
] | ||
}, | ||
{ | ||
"name": "metric_trend_4", | ||
"type": "METRIC_TYPE_TREND", | ||
"timeSeries": [ | ||
{ | ||
"labels": [ | ||
{ | ||
"name": "__name__", | ||
"value": "metric_trend_4" | ||
}, | ||
{ | ||
"name": "test_run_id", | ||
"value": "my-test-run-id-123" | ||
}, | ||
{ | ||
"name": "my_label_4", | ||
"value": "my_label_value_4" | ||
} | ||
], | ||
"aggregationPeriod": 3, | ||
"trendHdrSamples": { | ||
"values": [ | ||
{ | ||
"time": "2023-05-01T04:00:00Z" | ||
} | ||
] | ||
} | ||
} | ||
] | ||
} | ||
] | ||
} |