2015-01-21 19:07:45 +00:00
|
|
|
// Copyright 2013 The Prometheus Authors
|
2013-08-09 17:32:55 +00:00
|
|
|
// 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.
|
|
|
|
|
|
|
|
package notification
|
|
|
|
|
|
|
|
import (
|
2015-12-10 15:31:50 +00:00
|
|
|
"encoding/json"
|
|
|
|
"fmt"
|
2013-08-09 17:32:55 +00:00
|
|
|
"net/http"
|
2015-12-10 15:31:50 +00:00
|
|
|
"net/http/httptest"
|
|
|
|
"reflect"
|
2013-08-09 17:32:55 +00:00
|
|
|
"testing"
|
|
|
|
"time"
|
|
|
|
|
2015-08-20 15:18:46 +00:00
|
|
|
"github.com/prometheus/common/model"
|
2013-08-09 17:32:55 +00:00
|
|
|
)
|
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
func TestHandlerNextBatch(t *testing.T) {
|
|
|
|
h := New(&HandlerOptions{})
|
|
|
|
|
|
|
|
for i := range make([]struct{}, 2*maxBatchSize+1) {
|
|
|
|
h.queue = append(h.queue, &model.Alert{
|
|
|
|
Labels: model.LabelSet{
|
|
|
|
"alertname": model.LabelValue(fmt.Sprintf("%d", i)),
|
|
|
|
},
|
|
|
|
})
|
|
|
|
}
|
|
|
|
|
|
|
|
expected := append(model.Alerts{}, h.queue...)
|
|
|
|
|
|
|
|
b := h.nextBatch()
|
|
|
|
|
|
|
|
if len(b) != maxBatchSize {
|
|
|
|
t.Fatalf("Expected first batch of length %d, but got %d", maxBatchSize, len(b))
|
|
|
|
}
|
|
|
|
if reflect.DeepEqual(expected[0:maxBatchSize], b) {
|
|
|
|
t.Fatalf("First batch did not match")
|
|
|
|
}
|
|
|
|
|
|
|
|
b = h.nextBatch()
|
|
|
|
|
|
|
|
if len(b) != maxBatchSize {
|
|
|
|
t.Fatalf("Expected second batch of length %d, but got %d", maxBatchSize, len(b))
|
|
|
|
}
|
|
|
|
if reflect.DeepEqual(expected[maxBatchSize:2*maxBatchSize], b) {
|
|
|
|
t.Fatalf("Second batch did not match")
|
|
|
|
}
|
2013-08-09 17:32:55 +00:00
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
b = h.nextBatch()
|
|
|
|
|
|
|
|
if len(b) != 1 {
|
|
|
|
t.Fatalf("Expected third batch of length %d, but got %d", 1, len(b))
|
|
|
|
}
|
|
|
|
if reflect.DeepEqual(expected[2*maxBatchSize:], b) {
|
|
|
|
t.Fatalf("Third batch did not match")
|
|
|
|
}
|
|
|
|
|
|
|
|
if len(h.queue) != 0 {
|
|
|
|
t.Fatalf("Expected queue to be empty but got %d alerts", len(h.queue))
|
|
|
|
}
|
2013-08-09 17:32:55 +00:00
|
|
|
}
|
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
func alertsEqual(a, b model.Alerts) bool {
|
|
|
|
if len(a) != len(b) {
|
|
|
|
return false
|
|
|
|
}
|
|
|
|
for i, alert := range a {
|
|
|
|
if !alert.Labels.Equal(b[i].Labels) {
|
|
|
|
return false
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return true
|
2013-08-09 17:32:55 +00:00
|
|
|
}
|
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
func TestHandlerSend(t *testing.T) {
|
|
|
|
var (
|
|
|
|
expected model.Alerts
|
|
|
|
status int
|
|
|
|
)
|
2013-08-09 17:32:55 +00:00
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
|
|
|
if r.URL.Path != alertPushEndpoint {
|
|
|
|
t.Fatalf("Bad endpoint %q used, expected %q", r.URL.Path, alertPushEndpoint)
|
|
|
|
}
|
|
|
|
defer r.Body.Close()
|
2013-08-09 17:32:55 +00:00
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
var alerts model.Alerts
|
|
|
|
if err := json.NewDecoder(r.Body).Decode(&alerts); err != nil {
|
|
|
|
t.Fatalf("Unexpected error on input decoding: %s", err)
|
|
|
|
}
|
|
|
|
|
|
|
|
if !alertsEqual(alerts, expected) {
|
|
|
|
t.Errorf("%#v %#v", *alerts[0], *expected[0])
|
|
|
|
t.Fatalf("Unexpected alerts received %v exp %v", alerts, expected)
|
|
|
|
}
|
|
|
|
|
|
|
|
w.WriteHeader(status)
|
|
|
|
}))
|
|
|
|
|
|
|
|
defer server.Close()
|
|
|
|
|
|
|
|
h := New(&HandlerOptions{
|
|
|
|
AlertmanagerURL: server.URL,
|
|
|
|
Timeout: time.Minute,
|
|
|
|
ExternalLabels: model.LabelSet{"a": "b"},
|
|
|
|
})
|
2013-08-09 17:32:55 +00:00
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
for i := range make([]struct{}, maxBatchSize) {
|
|
|
|
h.queue = append(h.queue, &model.Alert{
|
2015-08-20 15:18:46 +00:00
|
|
|
Labels: model.LabelSet{
|
2015-12-10 15:31:50 +00:00
|
|
|
"alertname": model.LabelValue(fmt.Sprintf("%d", i)),
|
2013-08-09 17:32:55 +00:00
|
|
|
},
|
2015-12-10 15:31:50 +00:00
|
|
|
})
|
|
|
|
expected = append(expected, &model.Alert{
|
|
|
|
Labels: model.LabelSet{
|
|
|
|
"alertname": model.LabelValue(fmt.Sprintf("%d", i)),
|
|
|
|
"a": "b",
|
|
|
|
},
|
|
|
|
})
|
|
|
|
}
|
|
|
|
|
|
|
|
status = http.StatusOK
|
|
|
|
|
|
|
|
if err := h.send(h.queue...); err != nil {
|
|
|
|
t.Fatalf("Unexpected error: %s", err)
|
|
|
|
}
|
|
|
|
|
|
|
|
status = 500
|
2013-08-09 17:32:55 +00:00
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
if err := h.send(h.queue...); err == nil {
|
|
|
|
t.Fatalf("Expected error but got none")
|
2013-08-09 17:32:55 +00:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
func TestHandlerFull(t *testing.T) {
|
|
|
|
var (
|
|
|
|
unblock = make(chan struct{})
|
|
|
|
called = make(chan struct{})
|
|
|
|
expected model.Alerts
|
|
|
|
)
|
|
|
|
|
|
|
|
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
|
|
|
|
called <- struct{}{}
|
|
|
|
<-unblock
|
|
|
|
|
|
|
|
defer r.Body.Close()
|
|
|
|
|
|
|
|
var alerts model.Alerts
|
|
|
|
if err := json.NewDecoder(r.Body).Decode(&alerts); err != nil {
|
|
|
|
t.Fatalf("Unexpected error on input decoding: %s", err)
|
|
|
|
}
|
|
|
|
|
|
|
|
if !alertsEqual(expected, alerts) {
|
|
|
|
t.Errorf("Expected alerts %v, got %v", expected, alerts)
|
|
|
|
}
|
|
|
|
}))
|
|
|
|
|
|
|
|
h := New(&HandlerOptions{
|
|
|
|
AlertmanagerURL: server.URL,
|
|
|
|
Timeout: time.Second,
|
|
|
|
QueueCapacity: 3 * maxBatchSize,
|
|
|
|
})
|
|
|
|
|
|
|
|
var alerts model.Alerts
|
|
|
|
for i := range make([]struct{}, 20*maxBatchSize) {
|
|
|
|
alerts = append(alerts, &model.Alert{
|
|
|
|
Labels: model.LabelSet{
|
|
|
|
"alertname": model.LabelValue(fmt.Sprintf("%d", i)),
|
|
|
|
},
|
|
|
|
})
|
|
|
|
}
|
|
|
|
|
|
|
|
go h.Run()
|
|
|
|
defer h.Stop()
|
|
|
|
|
|
|
|
h.Send(alerts[:4*maxBatchSize]...)
|
|
|
|
|
|
|
|
// If the batch is larger than the queue size, the front should be truncated
|
|
|
|
// from the front. Thus, we start at i=1.
|
|
|
|
for i := 1; i < 4; i++ {
|
|
|
|
select {
|
|
|
|
case <-called:
|
|
|
|
expected = alerts[i*maxBatchSize : (i+1)*maxBatchSize]
|
|
|
|
unblock <- struct{}{}
|
|
|
|
case <-time.After(time.Second):
|
|
|
|
t.Fatalf("Alerts were not pushed")
|
|
|
|
}
|
2013-08-09 17:32:55 +00:00
|
|
|
}
|
|
|
|
|
2015-12-10 15:31:50 +00:00
|
|
|
// Send one batch, wait for it to arrive and block so the queue fills up.
|
|
|
|
// Then check whether the queue is truncated in the front once its full.
|
|
|
|
h.Send(alerts[:maxBatchSize]...)
|
|
|
|
<-called
|
|
|
|
|
|
|
|
// Fill the 3*maxBatchSize queue.
|
|
|
|
h.Send(alerts[1*maxBatchSize : 2*maxBatchSize]...)
|
|
|
|
h.Send(alerts[2*maxBatchSize : 3*maxBatchSize]...)
|
|
|
|
h.Send(alerts[3*maxBatchSize : 4*maxBatchSize]...)
|
|
|
|
|
|
|
|
// Send the batch that drops the first one.
|
|
|
|
h.Send(alerts[4*maxBatchSize : 5*maxBatchSize]...)
|
|
|
|
|
|
|
|
expected = alerts[:maxBatchSize]
|
|
|
|
unblock <- struct{}{}
|
|
|
|
|
|
|
|
for i := 2; i < 4; i++ {
|
|
|
|
select {
|
|
|
|
case <-called:
|
|
|
|
expected = alerts[i*maxBatchSize : (i+1)*maxBatchSize]
|
|
|
|
unblock <- struct{}{}
|
|
|
|
case <-time.After(time.Second):
|
|
|
|
t.Fatalf("Alerts were not pushed")
|
|
|
|
}
|
2013-08-09 17:32:55 +00:00
|
|
|
}
|
|
|
|
}
|