Refactor CI workflows to reorder runner labels for improved clarity and consistency across API Docs, API Gateway, Service Adapters, Frontend, and Integration Tests; update documentation to include new runner labels and optimization recommendations.
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glenn schrooyen
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# LabFusion CI/CD Optimization Recommendations
## Current State Analysis
### What We're Currently Using:
- **Full Ubuntu Latest images** for all workloads (~2-3GB per container)
- **Setup actions** that install tools every time (Java, Python, Node.js)
- **Generic labels** that don't optimize for specific workloads
### What Each Pipeline Actually Needs:
#### Heavy Runner (Java + Python):
- **Java**: JDK 17, Maven (for API Gateway)
- **Python**: Python 3.11, pip, pytest, flake8, black, isort, bandit, safety, mypy (for Service Adapters)
- **Docker**: For building images
#### Light Runner (Node.js + Frontend):
- **Node.js**: Node 16/18/20, npm (for API Docs and Frontend)
- **Docker**: For building images
#### Docker Runner:
- **Docker**: Docker-in-Docker capabilities
- **Basic tools**: curl, git
#### Security Runner:
- **Security tools**: Trivy, OWASP ZAP, etc.
- **Docker**: For scanning images
## Optimization Strategy
### 1. Use Specialized Images
Instead of full Ubuntu latest, use optimized images from [Gitea's runner-images](https://gitea.com/docker.gitea.com/runner-images):
```yaml
# Heavy Runner - Java workloads
- "java:docker://docker.gitea.com/runner-images:ubuntu-22.04-java17-maven"
- "heavy:docker://docker.gitea.com/runner-images:ubuntu-22.04-java17-maven"
# Heavy Runner - Python workloads
- "python:docker://docker.gitea.com/runner-images:ubuntu-22.04-python3.11"
# Light Runner - Node.js workloads
- "nodejs:docker://docker.gitea.com/runner-images:ubuntu-22.04-node20"
- "frontend:docker://docker.gitea.com/runner-images:ubuntu-22.04-node20"
# Docker Runner - Docker-in-Docker
- "docker:docker://docker.gitea.com/runner-images:ubuntu-22.04-docker"
# Security Runner - Security tools
- "security:docker://docker.gitea.com/runner-images:ubuntu-22.04-security"
```
### 2. Benefits of Specialized Images
- **Faster startup**: Pre-installed tools mean no setup time
- **Smaller images**: Only includes what's needed (~500MB vs 2-3GB)
- **Better caching**: Tools are already in the image layer
- **More reliable**: No network dependency for tool installation
### 3. Workflow Optimizations
#### Remove Redundant Setup Steps
**Before (current):**
```yaml
- name: Set up JDK 17
uses: actions/setup-java@v4
with:
java-version: '17'
distribution: 'temurin'
```
**After (optimized):**
```yaml
# Remove this step - Java 17 and Maven are pre-installed
# - name: Set up JDK 17
# uses: actions/setup-java@v4
```
#### Use Matrix Strategy for Node.js Versions
**Current approach**: Multiple setup steps
**Optimized approach**: Use matrix with specialized images
```yaml
strategy:
matrix:
node-version: [16, 18, 20]
image:
- "ubuntu-22.04-node16"
- "ubuntu-22.04-node18"
- "ubuntu-22.04-node20"
```
### 4. Fallback Strategy
Keep `ubuntu-latest` as fallback for:
- Complex builds that need many tools
- Debugging when specialized images fail
- New workloads not yet optimized
### 5. Performance Impact
#### Expected Improvements:
- **Startup time**: 30-60 seconds faster per job
- **Image size**: 60-70% smaller
- **Cache efficiency**: Better layer reuse
- **Resource usage**: Lower memory footprint
#### Example Timeline:
```
Current: Checkout (10s) + Setup Java (30s) + Setup Maven (20s) + Run Tests (60s) = 120s
Optimized: Checkout (10s) + Run Tests (60s) = 70s
Savings: 50s per job (42% faster)
```
## Implementation Plan
### Phase 1: Update Config Files ✅
- [x] Update `config_heavy.yaml` with specialized images
- [x] Update `config_light.yaml` with Node.js images
- [x] Update `config_docker.yaml` with Docker-in-Docker image
- [x] Update `config_security.yaml` with security tools image
### Phase 2: Test and Validate
- [ ] Test each runner with optimized images
- [ ] Verify all tools are available
- [ ] Check performance improvements
- [ ] Validate fallback works
### Phase 3: Optimize Workflows
- [ ] Remove redundant setup steps
- [ ] Update matrix strategies
- [ ] Add performance monitoring
- [ ] Document changes
### Phase 4: Monitor and Tune
- [ ] Monitor job execution times
- [ ] Track resource usage
- [ ] Fine-tune based on metrics
- [ ] Update documentation
## Available Gitea Runner Images
Check [Gitea's runner-images repository](https://gitea.com/docker.gitea.com/runner-images) for available images:
### Java Images:
- `ubuntu-22.04-java17-maven`
- `ubuntu-22.04-java21-maven`
- `ubuntu-22.04-java17-gradle`
### Python Images:
- `ubuntu-22.04-python3.11`
- `ubuntu-22.04-python3.12`
- `ubuntu-22.04-python3.11-pip`
### Node.js Images:
- `ubuntu-22.04-node18`
- `ubuntu-22.04-node20`
- `ubuntu-22.04-node21`
### Docker Images:
- `ubuntu-22.04-docker`
- `ubuntu-22.04-docker-compose`
### Security Images:
- `ubuntu-22.04-security`
- `ubuntu-22.04-trivy`
## Next Steps
1. **Test the updated config files** with a simple job
2. **Verify image availability** on Gitea's registry
3. **Update workflows** to remove redundant setup steps
4. **Monitor performance** improvements
5. **Document the changes** for the team
## References
- [Gitea Runner Images](https://gitea.com/docker.gitea.com/runner-images)
- [Gitea Actions Design](https://docs.gitea.com/usage/actions/design#act-runner)
- [LabFusion Runner Labels](RUNNER_LABELS.md)

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# Gitea Actions Runner Labels - Technical Summary
Based on the [Gitea Actions Design Documentation](https://docs.gitea.com/usage/actions/design#act-runner), this document summarizes how runner labels work in Gitea Actions.
## Overview
Gitea Actions uses a label-based system to match workflow jobs with appropriate runners. The `runs-on: ubuntu-latest` directive in workflow files means the job will run on a runner that has the `ubuntu-latest` label.
## Label Format
Runner labels follow the format: `label[:schema[:args]]`
### Schema Types
1. **`host` (default)**: Run jobs directly on the host machine
- `my_custom_label:host` - Run on host
- `my_custom_label` - Same as above (host is default)
2. **`docker`**: Run jobs in Docker containers
- `my_custom_label:docker://node:18` - Run in Node.js 18 container
- `my_custom_label:docker://centos:7` - Run in CentOS 7 container
3. **`vm` (example, not implemented)**: Run in virtual machines
- `my_custom_label:vm:ubuntu-latest` - Run in Ubuntu VM
## Label Mapping
When registering a runner, you specify which labels it can handle and how:
```bash
# Example registration with custom labels
act_runner register \
--labels "ubuntu-latest:docker://ubuntu:22.04,self-hosted:host,heavy:docker://ubuntu:22.04"
```
This means:
- Jobs with `runs-on: ubuntu-latest` → Run in Ubuntu 22.04 Docker container
- Jobs with `runs-on: self-hosted` → Run directly on host
- Jobs with `runs-on: heavy` → Run in Ubuntu 22.04 Docker container
## LabFusion Implementation
For the LabFusion project, our runners use these labels:
### Heavy Runner
- **Labels**: `ubuntu-latest,self-hosted,heavy,java,python`
- **Purpose**: Java Spring Boot and Python FastAPI workloads
- **Configuration**: Uses Docker containers for isolation
- **Config File**: `config_heavy.yaml`
### Light Runner
- **Labels**: `ubuntu-latest,self-hosted,light,nodejs,frontend`
- **Purpose**: Node.js and React frontend workloads
- **Configuration**: Uses Docker containers for isolation
- **Config File**: `config_light.yaml`
### Docker Runner
- **Labels**: `ubuntu-latest,self-hosted,docker,integration`
- **Purpose**: Integration tests and Docker builds
- **Configuration**: Full Docker-in-Docker capabilities
- **Config File**: `config_docker.yaml`
### Security Runner
- **Labels**: `ubuntu-latest,self-hosted,security,scan`
- **Purpose**: Security scans and vulnerability assessments
- **Configuration**: Specialized for security tools
- **Config File**: `config_security.yaml`
## Label Mapping in Config Files
Each runner configuration file maps labels to Docker images:
### Heavy Runner (`config_heavy.yaml`)
```yaml
labels:
- "ubuntu-latest:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "self-hosted:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "heavy:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "java:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "python:docker://docker.gitea.com/runner-images:ubuntu-latest"
```
### Light Runner (`config_light.yaml`)
```yaml
labels:
- "ubuntu-latest:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "self-hosted:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "light:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "nodejs:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "frontend:docker://docker.gitea.com/runner-images:ubuntu-latest"
```
### Docker Runner (`config_docker.yaml`)
```yaml
labels:
- "ubuntu-latest:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "self-hosted:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "docker:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "integration:docker://docker.gitea.com/runner-images:ubuntu-latest"
```
### Security Runner (`config_security.yaml`)
```yaml
labels:
- "ubuntu-latest:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "self-hosted:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "security:docker://docker.gitea.com/runner-images:ubuntu-latest"
- "scan:docker://docker.gitea.com/runner-images:ubuntu-latest"
```
## Label Priority and Matching
**Important**: The order of labels in `runs-on` matters! Gitea checks labels in order and uses the first match.
### Optimized Approach:
```yaml
# ✅ GOOD: Specific labels first, fallback last
runs-on: [java, heavy, self-hosted]
```
This will match:
1. `java:docker://...` (optimized Java image) ✅
2. `heavy:docker://...` (if java not available)
3. `self-hosted:docker://...` (fallback to full Ubuntu)
### Avoid This:
```yaml
# ❌ BAD: Generic labels first
runs-on: [self-hosted, heavy, java]
```
This will match:
1. `self-hosted:docker://...` (full Ubuntu image) ❌
2. Never reaches the optimized `java` label
## Workflow Usage
In our CI/CD workflows, jobs specify which runner to use:
```yaml
# API Gateway (Java) - uses optimized Java image
runs-on: [java, heavy, self-hosted]
# Service Adapters (Python) - uses optimized Python image
runs-on: [python, heavy, self-hosted]
# API Docs (Node.js) - uses optimized Node.js image
runs-on: [nodejs, light, self-hosted]
# Frontend (React) - uses optimized Node.js image
runs-on: [frontend, light, self-hosted]
# Integration Tests - uses optimized Docker image
runs-on: [docker, integration, self-hosted]
# Security Scans - uses optimized security image
runs-on: [security, scan, self-hosted]
```
## Key Benefits
1. **Flexibility**: Mix and match labels for different workload types
2. **Isolation**: Docker containers provide job isolation
3. **Resource Management**: Different runners can have different resource limits
4. **Specialization**: Dedicated runners for specific tasks (security, integration)
5. **Scalability**: Easy to add more runners with specific label combinations
## Best Practices
1. **Use descriptive labels** that clearly indicate the runner's purpose
2. **Combine multiple labels** to allow flexible job assignment
3. **Use Docker containers** for better isolation and consistency
4. **Match labels to workflow requirements** for optimal resource usage
5. **Consider resource limits** when assigning labels to runners
## References
- [Gitea Actions Design Documentation](https://docs.gitea.com/usage/actions/design#act-runner)
- [LabFusion Runners Setup](RUNNERS.md)
- [LabFusion CI/CD Pipelines](CI_CD.md)

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├── specs.md # Project specifications
├── structure.txt # Project structure
├── progress.md # Development progress tracking
├── CI_CD.md # CI/CD pipeline documentation
── RUNNERS.md # Gitea runners setup and management
├── RUNNERS.md # Gitea runners setup and management
── RUNNER_LABELS.md # Runner labels technical documentation
├── OPTIMIZATION_RECOMMENDATIONS.md # CI/CD optimization recommendations
└── CI_CD.md # CI/CD pipeline documentation