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https://gitea.com/gitea/act_runner.git
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## What
Add an optional Prometheus `/metrics` HTTP endpoint to `act_runner` so operators can observe runner health, polling behavior, job outcomes, and RPC latency without scraping logs.
New surface:
- `internal/pkg/metrics/metrics.go` — metric definitions, custom `Registry`, static Go/process collectors, label constants, `ResultToStatusLabel` helper.
- `internal/pkg/metrics/server.go` — hardened `http.Server` serving `/metrics` and `/healthz` with Slowloris-safe timeouts (`ReadHeaderTimeout` 5s, `ReadTimeout`/`WriteTimeout` 10s, `IdleTimeout` 60s) and a 5s graceful shutdown.
- `daemon.go` wires it up behind `cfg.Metrics.Enabled` (disabled by default).
- `poller.go` / `reporter.go` / `runner.go` instrument their existing hot paths with counters/histograms/gauges — no behavior change.
Metrics exported (namespace `act_runner_`):
| Subsystem | Metric | Type | Labels |
|---|---|---|---|
| — | `info` | Gauge | `version`, `name` |
| — | `capacity`, `uptime_seconds` | Gauge | — |
| `poll` | `fetch_total`, `client_errors_total` | Counter | `result` / `method` |
| `poll` | `fetch_duration_seconds`, `backoff_seconds` | Histogram / Gauge | — |
| `job` | `total` | Counter | `status` |
| `job` | `duration_seconds`, `running`, `capacity_utilization_ratio` | Histogram / GaugeFunc | — |
| `report` | `log_total`, `state_total` | Counter | `result` |
| `report` | `log_duration_seconds`, `state_duration_seconds` | Histogram | — |
| `report` | `log_buffer_rows` | Gauge | — |
| — | `go_*`, `process_*` | standard collectors | — |
All label values are predefined constants — **no high-cardinality labels** (no task IDs, repo URLs, branches, tokens, or secrets) so scraping is safe and bounded.
## Why
Teams self-hosting Gitea + `act_runner` at scale need to answer basic SRE questions that are currently invisible:
- How often are RPCs failing? Which RPC? (`act_runner_client_errors_total`)
- Are runners saturated? (`act_runner_job_capacity_utilization_ratio`, `act_runner_job_running`)
- How long do jobs take? (`act_runner_job_duration_seconds`)
- Is polling backing off? (`act_runner_poll_backoff_seconds`, `act_runner_poll_fetch_total{result=\"error\"}`)
- Are log/state reports slow? (`act_runner_report_{log,state}_duration_seconds`)
- Is the log buffer draining? (`act_runner_report_log_buffer_rows`)
Today operators have to grep logs. This PR makes all of the above first-class metrics so they can feed dashboards and alerts (`rate(act_runner_client_errors_total[5m]) > 0.1`, capacity saturation alerts, etc.).
The endpoint is **disabled by default** and binds to `127.0.0.1:9101` when enabled, so it's opt-in and safe for existing deployments.
## How
### Config
```yaml
metrics:
enabled: false # opt-in
addr: 127.0.0.1:9101 # change to 0.0.0.0:9101 only behind a reverse proxy
```
`config.example.yaml` documents both fields plus a security note about binding externally without auth.
### Wiring
1. `daemon.go` calls `metrics.Init()` (guarded by `sync.Once`), sets `act_runner_info`, `act_runner_capacity`, registers uptime + running-jobs GaugeFuncs, then starts the server goroutine with the daemon context — it shuts down cleanly on `ctx.Done()`.
2. `poller.fetchTask` observes RPC latency / result / error counters. `DeadlineExceeded` (long-poll idle) is treated as an empty result and **not** observed into the histogram so the 5s timeout doesn't swamp the buckets.
3. `poller.pollOnce` reports `poll_backoff_seconds` using the pre-jitter base interval (the true backoff level), and only when it changes — prevents noisy no-op gauge updates at the `FetchIntervalMax` plateau.
4. `reporter.ReportLog` / `ReportState` record duration histograms and success/error counters; `log_buffer_rows` is updated only when the value changes, guarded by the already-held `clientM`.
5. `runner.Run` observes `job_duration_seconds` and increments `job_total` by outcome via `metrics.ResultToStatusLabel`.
### Safety / security review
- All timeouts set; Slowloris-safe.
- Custom `prometheus.NewRegistry()` — no global registration side-effects.
- No sensitive data in labels (reviewed every instrumentation site).
- Single new dependency: `github.com/prometheus/client_golang v1.23.2`.
- Endpoint is unauthenticated by design and documented as such; default localhost bind mitigates exposure. Operators exposing externally should front it with a reverse proxy.
## Verification
### Unit tests
\`\`\`bash
go build ./...
go vet ./...
go test ./...
\`\`\`
### Manual smoke test
1. Enable metrics in `config.yaml`:
\`\`\`yaml
metrics:
enabled: true
addr: 127.0.0.1:9101
\`\`\`
2. Start the runner against a Gitea instance: \`./act_runner daemon\`.
3. Scrape the endpoint:
\`\`\`bash
curl -s http://127.0.0.1:9101/metrics | grep '^act_runner_'
curl -s http://127.0.0.1:9101/healthz # → ok
\`\`\`
4. Confirm the static series appear immediately: \`act_runner_info\`, \`act_runner_capacity\`, \`act_runner_uptime_seconds\`, \`act_runner_job_running\`, \`act_runner_job_capacity_utilization_ratio\`.
5. Trigger a workflow and confirm counters increment: \`act_runner_poll_fetch_total{result=\"task\"}\`, \`act_runner_job_total{status=\"success\"}\`, \`act_runner_report_log_total{result=\"success\"}\`.
6. Leave the runner idle and confirm \`act_runner_poll_backoff_seconds\` settles (and does **not** churn on every poll).
7. Ctrl-C and confirm a clean \"metrics server shutdown\" log line (no port-in-use error on restart within 5s).
### Prometheus integration
Add to \`prometheus.yml\`:
\`\`\`yaml
scrape_configs:
- job_name: act_runner
static_configs:
- targets: ['127.0.0.1:9101']
\`\`\`
Sample alert to try:
\`\`\`
sum(rate(act_runner_client_errors_total[5m])) by (method) > 0.1
\`\`\`
## Out of scope (follow-ups)
- TLS and auth on the metrics endpoint (mitigated today by localhost default; add when operators need external scraping).
- Per-task labels (intentionally avoided for cardinality safety).
---
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Reviewed-on: https://gitea.com/gitea/act_runner/pulls/820
Reviewed-by: Lunny Xiao <xiaolunwen@gmail.com>
Co-authored-by: Bo-Yi Wu <appleboy.tw@gmail.com>
Co-committed-by: Bo-Yi Wu <appleboy.tw@gmail.com>
act runner
Act runner is a runner for Gitea based on Gitea fork of act.
Installation
Prerequisites
Docker Engine Community version is required for docker mode. To install Docker CE, follow the official install instructions.
Download pre-built binary
Visit here and download the right version for your platform.
Build from source
make build
Build a docker image
make docker
Quickstart
Actions are disabled by default, so you need to add the following to the configuration file of your Gitea instance to enable it:
[actions]
ENABLED=true
Register
./act_runner register
And you will be asked to input:
- Gitea instance URL, like
http://192.168.8.8:3000/. You should use your gitea instance ROOT_URL as the instance argument and you should not uselocalhostor127.0.0.1as instance IP; - Runner token, you can get it from
http://192.168.8.8:3000/admin/actions/runners; - Runner name, you can just leave it blank;
- Runner labels, you can just leave it blank.
The process looks like:
INFO Registering runner, arch=amd64, os=darwin, version=0.1.5.
WARN Runner in user-mode.
INFO Enter the Gitea instance URL (for example, https://gitea.com/):
http://192.168.8.8:3000/
INFO Enter the runner token:
fe884e8027dc292970d4e0303fe82b14xxxxxxxx
INFO Enter the runner name (if set empty, use hostname: Test.local):
INFO Enter the runner labels, leave blank to use the default labels (comma-separated, for example, ubuntu-latest:docker://docker.gitea.com/runner-images:ubuntu-latest):
INFO Registering runner, name=Test.local, instance=http://192.168.8.8:3000/, labels=[ubuntu-latest:docker://docker.gitea.com/runner-images:ubuntu-latest ubuntu-22.04:docker://docker.gitea.com/runner-images:ubuntu-22.04 ubuntu-20.04:docker://docker.gitea.com/runner-images:ubuntu-20.04].
DEBU Successfully pinged the Gitea instance server
INFO Runner registered successfully.
You can also register with command line arguments.
./act_runner register --instance http://192.168.8.8:3000 --token <my_runner_token> --no-interactive
If the registry succeed, it will run immediately. Next time, you could run the runner directly.
Run
./act_runner daemon
Run with docker
docker run -e GITEA_INSTANCE_URL=https://your_gitea.com -e GITEA_RUNNER_REGISTRATION_TOKEN=<your_token> -v /var/run/docker.sock:/var/run/docker.sock --name my_runner gitea/act_runner:nightly
Configuration
You can also configure the runner with a configuration file.
The configuration file is a YAML file, you can generate a sample configuration file with ./act_runner generate-config.
./act_runner generate-config > config.yaml
You can specify the configuration file path with -c/--config argument.
./act_runner -c config.yaml register # register with config file
./act_runner -c config.yaml daemon # run with config file
You can read the latest version of the configuration file online at config.example.yaml.
Example Deployments
Check out the examples directory for sample deployment types.