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# Getting Started
This guide walks you through setting up GRM, configuring Gitea credentials, and installing your first runner.
## Prerequisites
Before you begin, ensure you have:
- **Python 3.12+** on your local machine
- **SSH access** to the target host(s) where runners will be installed
- **Sudo privileges** on the target host(s) for the SSH user
- **A Gitea instance** with admin access to create registration tokens
- **Git** for cloning the repository
## Step 1: Clone and Setup
```bash
git clone https://git.oblachno.oblachno.fyi/oblachno-oss/grm.git
cd grm
git checkout $(git describe --tags --abbrev=0) # Checkout latest stable release
make setup
source .venv/bin/activate
```
> **Important:** Always checkout the latest release tag before running `make setup`. The `master` branch may contain unreleased changes that are not yet stable. The `git describe --tags --abbrev=0` command automatically selects the most recent tagged release. To see all available releases, run `git tag --sort=-version:refname` or check the [releases page](https://git.oblachno.oblachno.fyi/oblachno-oss/grm/releases).
`make setup` creates a virtualenv, installs all dependencies (including Ansible), creates `.env` from `.env.example`, and sets up pre-commit hooks.
If you use pyenv for Python version management:
```bash
pyenv install 3.12
pyenv local 3.12
make setup
```
## Step 2: Configure Gitea Credentials
GRM needs two tokens from your Gitea instance: a **registration token** (required) and an **admin API token** (optional, for post-install verification).
### Get the Registration Token
The registration token tells Gitea to accept the runner when it connects.
1. Log in to your Gitea instance as an administrator
2. Navigate to **Site Administration → Actions → Runners**
3. Click **Create Registration Token**
4. Copy the token — it starts with `GR`
> **Note:** There are three levels of registration tokens:
> - **Instance-level** (Site Administration → Actions → Runners) — registers a runner for all repositories
> - **Organization-level** (Organization → Settings → Actions → Runners) — registers a runner for repos in that organization
> - **Repository-level** (Repository → Settings → Actions → Runners) — registers a runner for a single repository
>
> Use instance-level tokens for shared runners, and repo-level tokens for dedicated runners.
### Get the Admin API Token (optional)
The admin API token enables post-install API checks that verify the runner appears in Gitea's runner list. This is purely informational — the integration test primarily verifies the runner by checking:
1. **`.runner` registration file** exists and contains valid JSON (proves successful registration)
2. **Systemd user service** is active (proves daemon is polling for jobs)
To get an admin API token:
1. Go to **Settings → Applications → Generate New Token**
2. Give it a name (e.g., "GRM Install Verification")
3. Select the **admin** scope (or at minimum: `read:user`, `read:repository`, `read:admin`)
4. Click **Generate Token** and copy it immediately (it won't be shown again)
### Create the `.env` File
```bash
cp .env.example .env
```
Edit `.env` with your tokens:
```bash
# Your Gitea instance URL
GITEA_URL=https://git.example.com
# Registration token from Step 1
GITEA_REGISTRATION_TOKEN=GRxxxxxxxxxxxxxxxxxx
# Admin API token from Step 2 (optional)
CI_GITEA_TOKEN=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
```
### Environment Variables Reference
| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `GITEA_URL` | Yes | — | Gitea instance URL (e.g., `https://git.example.com`) |
| `GITEA_REGISTRATION_TOKEN` | Yes | — | Runner registration token from Gitea admin panel |
| `CI_GITEA_TOKEN` | No | — | Admin API token for post-install verification |
| `GITEA_INTEGRATION_RETRIES` | No | `3` | API check retries (default: 3) |
| `GITEA_RUNNER_USER` | No | current login | Default SSH user (overrides `--user`) |
| `GITEA_RUNNER_KEY` | No | — | Default SSH key path (overrides `--key`) |
| `GITEA_RUNNER_LABELS` | No | — | Default runner labels (overrides `--labels`) |
| `GRM_LANG` | No | `en` | UI language: `en`, `bg`, `de`, `ru`, `zh`, `pl` |
| `GRM_LOG_LEVEL` | No | `INFO` | Console log level: `DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL` |
## Step 3: Install Your First Runner
Using the CLI (you will be prompted for the sudo password by default):
```bash
grm install 192.168.1.10 --user ubuntu --key ~/.ssh/id_ed25519 --name prod-runner
```
This command:
1. Connects to `192.168.1.10` via SSH as user `ubuntu` using the specified key
2. Creates a dedicated system user `grm-prod-runner` with lingering enabled
3. Installs Docker in rootless mode under the `grm-prod-runner` user
4. Downloads and installs the gitea_runner binary
5. Creates the runner configuration file at `/etc/gitea-runner/prod-runner/config.yaml`
6. Registers the runner with your Gitea instance
7. Creates and starts a systemd user service (`gitea-runner.service`)
8. Sets up a Docker prune timer (daily cleanup)
9. Runs an integration test to verify the installation
10. Saves the runner to the local registry at `~/.local/share/grm/runners.json`
> **Automation tip:** Configure passwordless sudo on the remote host and pass `--no-ask-become-pass` to skip the password prompt. This is recommended for CI/CD pipelines.
Using Make:
```bash
make install HOST=192.168.1.10 USER=ubuntu KEY=~/.ssh/id_ed25519 NAME=prod-runner
```
### Runner labels
By default, runners are registered with the label `docker,ubuntu-latest:docker://runner-images:ubuntu-22.04`. You can override this with `--labels`:
```bash
grm install 192.168.1.10 --user ubuntu --name prod-runner \
--labels "docker:docker://gitea/runner-images:ubuntu-latest"
```
> **Note:** Use an official Gitea runner image with Node.js, Python, and Docker CLI. Avoid bare OS images like `alpine:latest` because `actions/checkout@v4` needs Node.js.
## Step 4: Verify the Installation
The installer performs an automated integration test that verifies:
1. **`.runner` file exists** with valid JSON containing `id`, `uuid`, `token`, `address` — this proves successful registration with Gitea
2. **Systemd user service is active** — this proves the daemon is polling for jobs
You can also check the Gitea UI under **Actions → Runners** to confirm the runner appears as **Online**.
Optional: If `CI_GITEA_TOKEN` is set, the installer will also query the Gitea API and report whether the runner appears in the admin or repo runners list. This is purely informational.
### Check runner status via CLI
```bash
grm status prod-runner
```
This connects to the remote host and checks the systemd user service status.
### List all runners
```bash
grm list
```
This displays a table with columns: NAME, HOST, USER, LABELS, STATUS for all runners in the local registry. The status is checked live via an Ansible ad-hoc command.
## Step 5: Manage the Runner Lifecycle
Once installed, you can manage the runner by name (connection details are stored in the local registry):
```bash
grm stop prod-runner # Stop the runner service
grm start prod-runner # Start the runner service
grm enable prod-runner # Enable the runner to start on boot
grm status prod-runner # Check the runner status
grm update 192.168.1.10 --user ubuntu # Update the runner binary
grm disable prod-runner # Disable and deregister the runner
grm remove prod-runner # Remove the runner completely
```
See [CLI Commands](CLI-Commands) for the full command reference.
## View Logs
### GRM application logs (on your local machine)
```bash
# Application log file (all messages including DEBUG)
cat ~/.local/state/grm/logs/grm.log
# Enable debug logging in the current session
GRM_LOG_LEVEL=DEBUG grm install 192.168.1.10 --user ubuntu --name prod-runner
```
### Ansible execution logs
Each `grm` command that invokes Ansible creates a timestamped log file:
```bash
ls ~/.local/state/grm/logs/ansible-*.log
cat ~/.local/state/grm/logs/ansible-20260622-143012.log
```
### Runner logs (on the remote host)
```bash
# Runner logs (via systemd user service)
sudo -u grm-prod-runner journalctl --user -u gitea-runner -f
# Rootless Docker daemon logs
sudo -u grm-prod-runner journalctl --user -u docker -f
```
### Logging destinations
The GRM application writes to three destinations:
| Destination | Level | Content |
|-------------|-------|---------|
| Console (stdout) | `GRM_LOG_LEVEL` (default: INFO) | Colorised user-facing messages and operation reports |
| `~/.local/state/grm/logs/grm.log` | DEBUG | All messages with timestamps and severity |
| `~/.local/state/grm/logs/ansible-<timestamp>.log` | — | Full Ansible playbook output per execution |
Set `GRM_LOG_LEVEL` to one of `DEBUG`, `INFO`, `WARNING`, `ERROR`, or `CRITICAL` to control console verbosity. The log file always captures everything at DEBUG level regardless of the console setting.
Console output is automatically colorised via `click.style`: operation headers in bright cyan, completed steps in green, failures in red, and status updates in yellow.
## Next Steps
- **Install more runners** on the same or different hosts — see [Installation](Installation)
- **Learn all CLI commands** — see [CLI Commands](CLI-Commands)
- **Troubleshoot issues** — see [Troubleshooting](Troubleshooting)
- **Understand the architecture** — see [Architecture](Architecture)