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https://github.com/unpoller/unpoller.git
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Cody LeeandClaude Sonnet 4.5
0ffe6152ab
Speed tests were not being reported correctly for multi-WAN setups
because the device-level speedtest-status field was returning zeros.
The data has moved to a new aggregated dashboard API endpoint.
Changes:
- Add GetSpeedTests() and GetSiteSpeedTests() methods to fetch from
/v2/api/site/{site}/aggregated-dashboard endpoint
- Create SpeedTestResult data structures to capture per-WAN metrics
- Update Prometheus exporter with new speedtest_* metrics per interface
- Update InfluxDB exporter to write speedtest measurements per WAN
- Update Datadog exporter with unifi.speedtest.* metrics per WAN
- Update metrics collection to include speed test data for all sites
Metrics now include labels/tags for:
- wan_interface: Physical interface (eth8, eth9, etc.)
- wan_group: Logical WAN name (WAN, WAN2, etc.)
- site_name: Site identifier
- source: Controller URL
Gracefully handles older controllers without the new API endpoint.
Fixes #841
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
40 lines
1018 B
Go
40 lines
1018 B
Go
package datadogunifi
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import (
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"github.com/unpoller/unifi/v5"
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)
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// batchSpeedTest generates Unifi Speed Test datapoints for Datadog.
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// These points can be passed directly to Datadog.
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func (u *DatadogUnifi) batchSpeedTest(r report, st *unifi.SpeedTestResult) {
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if st == nil {
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return
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}
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metricName := metricNamespace("speedtest")
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tags := []string{
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tag("site_name", st.SiteName),
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tag("source", st.SourceName),
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tag("wan_interface", st.InterfaceName),
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tag("wan_group", st.WANNetworkGroup),
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tag("network_conf_id", st.NetworkConfID),
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}
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data := map[string]float64{
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"download_mbps": st.DownloadMbps.Val,
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"upload_mbps": st.UploadMbps.Val,
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"latency_ms": st.LatencyMs.Val,
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"timestamp": st.Time.Val,
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}
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if st.WANProviderCapabilities != nil {
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data["provider_download_kbps"] = st.WANProviderCapabilities.DownloadKbps.Val
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data["provider_upload_kbps"] = st.WANProviderCapabilities.UploadKbps.Val
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}
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for name, value := range data {
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_ = r.reportGauge(metricName(name), value, tags)
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}
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}
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