func createJobTask(
client publisher.Client,
name string,
r monitors.TaskRunner,
) scheduler.TaskFunc {
return func() []scheduler.TaskFunc {
event, next, err := r.Run()
if err != nil {
logp.Err("Job %v failed with: ", err)
}
if event != nil {
event["monitor"] = name
client.PublishEvent(event)
}
if len(next) == 0 {
return nil
}
cont := make([]scheduler.TaskFunc, len(next))
for i, n := range next {
cont[i] = createJobTask(client, name, n)
}
return cont
}
}
func (w *worker) run(client publisher.Client) {
if *max > 0 {
m := *max
for w.running() && m >= 0 {
event := w.gen()
client.PublishEvent(event)
m--
}
} else {
for w.running() {
event := w.gen()
client.PublishEvent(event)
}
}
}
// PublishChannels publishes the events read from each channel to the given
// publisher client. If the publisher client blocks for any reason then events
// will not be read from the given channels.
//
// This method blocks until all of the channels have been closed
// and are fully read. To stop the method immediately, close the channels and
// close the publisher client to ensure that publishing does not block. This
// may result is some events being discarded.
func PublishChannels(client publisher.Client, cs ...<-chan common.MapStr) {
var wg sync.WaitGroup
// output publishes values from c until c is closed, then calls wg.Done.
output := func(c <-chan common.MapStr) {
defer wg.Done()
for event := range c {
client.PublishEvent(event)
}
}
// Start an output goroutine for each input channel in cs.
wg.Add(len(cs))
for _, c := range cs {
go output(c)
}
wg.Wait()
}
func (w *worker) run(client publisher.Client) {
ticker := time.NewTicker(w.period)
for {
stats := map[string]float64{}
now := time.Now()
last := now
for {
select {
case <-w.done:
return
case <-ticker.C:
}
data, err := w.readStats()
if err != nil {
logp.Warn("Failed to read vars from %v: %v", w.host, err)
break
}
last = now
now = time.Now()
dt := now.Sub(last).Seconds()
event := common.MapStr{
"@timestamp": common.Time(now),
"type": w.name,
"remote": w.host,
}
for name, v := range data {
if old, ok := stats[name]; ok {
event[fmt.Sprintf("d_%s", name)] = (v - old) / dt
}
event[fmt.Sprintf("total_%s", name)] = v
stats[name] = v
}
client.PublishEvent(event)
}
}
}
func Scanner(config config.PathConfig, client publisher.Client) {
duration, _ := time.ParseDuration(config.Period)
ticker := time.NewTicker(duration)
defer ticker.Stop()
for {
select {
case <-ticker.C:
}
events := []common.MapStr{}
logp.Debug("mod", "Scanning glob: %s", config.Glob)
files, _ := filepath.Glob(config.Glob)
for _, file := range files {
logp.Debug("mod", "Get stats for file: %s", file)
stat, _ := os.Lstat(file)
event := common.MapStr{
"@timestamp": common.Time(time.Now()),
"type": "modbeat",
"name": stat.Name(),
"path": file,
"mode": stat.Mode(),
"modtime": stat.ModTime(),
"size": stat.Size(),
}
events = append(events, event)
}
client.PublishEvents(events)
logp.Debug("mod", "Events sent for %s files", len(events))
}
}
func (w *worker) run(client publisher.Client) {
for w.running() {
event := w.gen()
client.PublishEvent(event)
}
}
func (w *worker) run(client publisher.Client) {
ticker := time.NewTicker(w.period)
for {
stats := make(map[string]float64)
now := time.Now()
last := now
for {
select {
case <-w.done:
return
case <-ticker.C:
}
resp, err := http.Get(fmt.Sprintf("http://%s/debug/vars", w.host))
if err != nil {
logp.Info("Failed to retrieve variables: %v", err)
break
}
body, err := ioutil.ReadAll(resp.Body)
resp.Body.Close()
if err != nil {
logp.Info("Error reading response: %v", err)
break
}
last = now
now = time.Now()
dt := now.Sub(last).Seconds()
var data map[string]interface{}
err = json.Unmarshal(body, &data)
if err != nil {
logp.Warn("Failed to decode json: %v", err)
break
}
event := common.MapStr{
"@timestamp": common.Time(now),
"type": w.name,
}
for name, raw := range data {
has := true
var total float64
switch v := raw.(type) {
case int:
total = float64(v)
case float64:
total = v
default:
has = false
}
if !has {
continue
}
if old, ok := stats[name]; ok {
event[fmt.Sprintf("total_%s", name)] = total
event[fmt.Sprintf("d_%s", name)] = (total - old) / dt
}
stats[name] = total
}
client.PublishEvent(event)
}
}
}