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Add API endpoints, update README.md
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README.md
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README.md
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# ClusterCockpit Metric Store
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FileStore is only a code fragment. To test the memoryStore move away the fileStore and run go test.
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Unusable yet. Go look at the [GitHub Issues](https://github.com/ClusterCockpit/cc-metric-store/issues) for a progress overview.
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### REST API Endpoints
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The following endpoints are implemented (not properly tested, subject to change):
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- *from* and *to* need to be Unix timestamps in seconds
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- *class* needs to be `node`, `socket` or `cpu` (The class of each metric is documented in [cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector))
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- If the *class* is `socket`, the hostname needs to be appended by `:s<socket-index>`. The same goes for `cpu` and `:c<cpu-index>`
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- Fetch all datapoints from *from* to *to* for the hosts *h1*, *h2* and *h3* and metrics *m1* and *m2*
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- Request: `GET /api/<cluster>/<class>/<from>/<to>/timeseries?host=<h1>&host=<h2>&host=<h3>&metric=<m1>&metric=<m2>&...`
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- Response: `{ "m1": { "hosts": [{ "host": "h1", "start": <start-time>, "data": [1.0, 2.0, 3.0, ...] }, { "host": "h2" , ...}, { "host": "h3", ...}] }, ... }`
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- Fetch the average, minimum and maximum values from *from* to *to* for the hosts *h1*, *h2* and *h3* and metrics *m1* and *m2*
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- Request: `GET /api/<cluster>/<class>/<from>/<to>/stats?host=<h1>&host=<h2>&host=<h3>&metric=<m1>&metric=<m2>&...`
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- Response: `{ "m1": { "hosts": [{ "host": "h1", "samples": 123, "avg": 0.5, "min": 0.0, "max": 1.0 }, ...] }, ... }`
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- `samples` is the number of actual measurements taken into account. This can be lower than expected if data ponts are missing
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- Fetch the newest value for each host and metric on a specified cluster
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- Request: `GET /api/<cluster>/<class>/peak`
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- Response: `{ "host1": { "metric1": 1., "metric2": 2., ... }, "host2": { ... }, ... }`
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### Run tests
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```sh
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# Test the line protocol parser
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go test ./lineprotocol -v
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# Test the memory store
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go test . -v
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```
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### Test the complete setup (excluding ClusterCockpit itself)
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First, get a NATS server running:
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```sh
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# Only needed once, downloads the docker image
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docker pull nats:latest
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# Start the NATS server
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docker run -p 4222:4222 -ti nats:latest
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```
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Second, build and start start the [cc-metric-collector](https://github.com/ClusterCockpit/cc-metric-collector) using the following as `config.json`:
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```json
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{
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"sink": {
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"type": "nats",
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"host": "localhost",
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"port": "4222",
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"database": "updates"
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},
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"interval" : 3,
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"duration" : 1,
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"collectors": [ "likwid", "loadavg" ],
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"default_tags": { "cluster": "testcluster" },
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"receiver": { "type": "none" }
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}
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```
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Third, build and start the metric store.
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```sh
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# Assuming you have a clone of this repo in ./cc-metric-store:
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cd cc-metric-store
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go get
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go build
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./cc-metric-store
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```
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Use this as `config.json`:
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```json
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{
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"metrics": {
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"node": {
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"frequency": 3,
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"metrics": ["load_five", "load_fifteen", "proc_total", "proc_run", "load_one"]
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},
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"socket": {
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"frequency": 3,
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"metrics": ["power", "mem_bw"]
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},
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"cpu": {
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"frequency": 3,
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"metrics": ["flops_sp", "flops_dp", "flops_any", "clock", "cpi"]
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}
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}
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}
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```
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And finally, use the API to fetch some data:
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```sh
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# If the collector and store and nats-server have been running for at least 60 seconds on the same host, you may run:
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curl -D - "http://localhost:8080/api/testcluster/node/$(expr $(date +%s) - 60)/$(date +%s)/timeseries?metric=load_one&host=$(hostname)"
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# or:
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curl -D - "http://localhost:8080/api/testcluster/socket/$(expr $(date +%s) - 60)/$(date +%s)/timeseries?metric=mem_bw&metric=power&host=$(hostname):s0"
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# or:
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curl -D - "http://localhost:8080/api/testcluster/cpu/$(expr $(date +%s) - 60)/$(date +%s)/timeseries?metric=flops_any&host=$(hostname):c0&host=$(hostname):c1"
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# or:
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curl -D - "http://localhost:8080/api/testcluster/node/peak"
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# or:
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curl -D - "http://localhost:8080/api/testcluster/socket/$(expr $(date +%s) - 60)/$(date +%s)/stats?metric=mem_bw&metric=power&host=$(hostname):s0"
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# ...
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```
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120
api.go
120
api.go
@ -4,6 +4,7 @@ import (
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"context"
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"encoding/json"
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"log"
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"math"
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"net/http"
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"strconv"
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"time"
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@ -22,9 +23,23 @@ type MetricData struct {
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Hosts []HostData `json:"hosts"`
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}
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type TimeseriesNodeResponse map[string]MetricData
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type TimeseriesResponse map[string]MetricData
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func handleTimeseriesNode(rw http.ResponseWriter, r *http.Request) {
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type HostStats struct {
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Host string `json:"host"`
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Sampels int `json:"sampels"`
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Avg lineprotocol.Float `json:"avg"`
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Min lineprotocol.Float `json:"min"`
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Max lineprotocol.Float `json:"max"`
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}
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type MetricStats struct {
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Hosts []HostStats `json:"hosts"`
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}
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type StatsResponse map[string]MetricStats
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func handleTimeseries(rw http.ResponseWriter, r *http.Request) {
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vars := mux.Vars(r)
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cluster := vars["cluster"]
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from, err := strconv.ParseInt(vars["from"], 10, 64)
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@ -46,8 +61,13 @@ func handleTimeseriesNode(rw http.ResponseWriter, r *http.Request) {
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return
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}
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response := TimeseriesNodeResponse{}
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store := metricStores["node"]
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response := TimeseriesResponse{}
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store, ok := metricStores[vars["class"]]
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if !ok {
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http.Error(rw, "invalid class", http.StatusInternalServerError)
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return
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}
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for _, metric := range metrics {
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hostsdata := []HostData{}
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for _, host := range hosts {
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@ -76,10 +96,100 @@ func handleTimeseriesNode(rw http.ResponseWriter, r *http.Request) {
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}
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}
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func handleStats(rw http.ResponseWriter, r *http.Request) {
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vars := mux.Vars(r)
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cluster := vars["cluster"]
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from, err := strconv.ParseInt(vars["from"], 10, 64)
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if err != nil {
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http.Error(rw, err.Error(), http.StatusBadRequest)
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return
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}
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to, err := strconv.ParseInt(vars["to"], 10, 64)
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if err != nil {
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http.Error(rw, err.Error(), http.StatusBadRequest)
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return
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}
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values := r.URL.Query()
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hosts := values["host"]
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metrics := values["metric"]
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if len(hosts) < 1 || len(metrics) < 1 {
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http.Error(rw, "no hosts or metrics specified", http.StatusBadRequest)
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return
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}
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response := StatsResponse{}
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store, ok := metricStores[vars["class"]]
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if !ok {
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http.Error(rw, "invalid class", http.StatusInternalServerError)
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return
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}
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for _, metric := range metrics {
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hoststats := []HostStats{}
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for _, host := range hosts {
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key := cluster + ":" + host
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min, max := math.MaxFloat64, -math.MaxFloat64
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samples := 0
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sum, err := store.Reduce(key, metric, from, to, func(t int64, sum, x lineprotocol.Float) lineprotocol.Float {
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if math.IsNaN(float64(x)) {
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return sum
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}
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samples += 1
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min = math.Min(min, float64(x))
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max = math.Max(max, float64(x))
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return sum + x
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}, 0.)
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if err != nil {
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http.Error(rw, err.Error(), http.StatusInternalServerError)
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return
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}
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hoststats = append(hoststats, HostStats{
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Host: host,
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Sampels: samples,
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Avg: sum / lineprotocol.Float(samples),
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Min: lineprotocol.Float(min),
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Max: lineprotocol.Float(max),
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})
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}
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response[metric] = MetricStats{
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Hosts: hoststats,
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}
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}
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rw.Header().Set("Content-Type", "application/json")
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err = json.NewEncoder(rw).Encode(response)
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if err != nil {
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log.Println(err.Error())
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}
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}
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func handlePeak(rw http.ResponseWriter, r *http.Request) {
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vars := mux.Vars(r)
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cluster := vars["cluster"]
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store, ok := metricStores[vars["class"]]
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if !ok {
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http.Error(rw, "invalid class", http.StatusInternalServerError)
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return
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}
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response := store.Peak(cluster + ":")
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rw.Header().Set("Content-Type", "application/json")
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err := json.NewEncoder(rw).Encode(response)
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if err != nil {
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log.Println(err.Error())
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}
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}
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func StartApiServer(address string, done chan bool) error {
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r := mux.NewRouter()
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r.HandleFunc("/api/{cluster}/timeseries/node/{from:[0-9]+}/{to:[0-9]+}", handleTimeseriesNode)
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r.HandleFunc("/api/{cluster}/{class:(?:node|socket|cpu)}/{from:[0-9]+}/{to:[0-9]+}/timeseries", handleTimeseries)
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r.HandleFunc("/api/{cluster}/{class:(?:node|socket|cpu)}/{from:[0-9]+}/{to:[0-9]+}/stats", handleStats)
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r.HandleFunc("/api/{cluster}/{class:(?:node|socket|cpu)}/peak", handlePeak)
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server := &http.Server{
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Handler: r,
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10
config.json
10
config.json
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"metrics": {
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"node": {
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"frequency": 3,
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"metrics": ["load_one", "load_five", "load_fifteen", "proc_total", "proc_run"]
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"metrics": ["load_five", "load_fifteen", "proc_total", "proc_run", "load_one"]
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},
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"socket": {
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"frequency": 3,
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"metrics": ["power", "mem_bw"]
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},
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"cpu": {
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"frequency": 3,
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"metrics": ["flops_sp", "flops_dp", "flops_any", "clock", "cpi"]
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}
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}
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}
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