Files
lpt-ai/k8s/README.md
T
cat-shark 977a031393 Add shared Kubernetes configuration files
- Add k8s/configmap.yaml with shared environment variables
- Add k8s/lpt-secrets.yaml template (secrets not committed)
- Add k8s/regcred-secret.yaml template (managed by workflow)
- Add k8s/README.md with deployment instructions
- Remove incorrect deployment/service files from root k8s/

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-20 21:27:50 +08:00

132 lines
3.8 KiB
Markdown

# Kubernetes Configuration for LPT Project
This directory contains the shared Kubernetes configuration files for the LPT (Learning Progress Tracker) project.
## Files
### ConfigMap
- **`configmap.yaml`** - Shared environment variables for all services
- LLM API configuration (URL, model, timeout)
- Database connection string
- Service URLs
### Secrets (Templates)
- **`lpt-secrets.yaml`** - Application secrets template
- LLM API key
- MySQL root password
- **⚠️ DO NOT commit real secrets!** Use the template to create secrets manually.
- **`regcred-secret.yaml`** - Docker registry authentication template
- Used for pulling images from private registry (192.168.123.199:5000)
- **⚠️ Managed by Gitea Actions workflow** - DO NOT commit real credentials!
### Service-Specific Configurations
Each service has its own `k8s/` directory with deployment and service configs:
- **`lpt-fe/k8s/`** - Frontend deployment (Nginx + Vue 3)
- **`lpt-be/k8s/`** - Backend deployment (Spring Boot)
- **`lpt-ai/k8s/`** - AI service deployment (Python FastAPI)
## Deployment
### Initial Setup
1. **Create namespace**:
```bash
kubectl create namespace lpt-dev
```
2. **Apply shared ConfigMap**:
```bash
kubectl apply -f k8s/configmap.yaml
```
3. **Create secrets** (replace with actual values):
```bash
# Application secrets
kubectl create secret generic lpt-secrets \
--from-literal=llm-api-key=<YOUR_LLM_API_KEY> \
--from-literal=mysql-root-password=<YOUR_MYSQL_ROOT_PASSWORD> \
--namespace=lpt-dev
# Registry credentials (for manual creation, or use Gitea workflow)
kubectl create secret docker-registry regcred \
--docker-server=192.168.123.199:5000 \
--docker-username=admin \
--docker-password=<REGISTRY_PASSWORD> \
--namespace=lpt-dev
```
4. **Deploy services**:
```bash
# Frontend
kubectl apply -f lpt-fe/k8s/
# Backend
kubectl apply -f lpt-be/k8s/
# AI Service
kubectl apply -f lpt-ai/k8s/
```
### CI/CD Workflow
The Gitea Actions workflows (`.gitea/workflows/deploy.yml` in each service) automatically:
1. Build Docker images
2. Push to private registry (192.168.123.199:5000)
3. Create/update `regcred` secret with credentials from Gitea secrets
4. Update deployment image tags
**Required Gitea Secrets** (per repository):
- `REGISTRY_USERNAME`: Docker registry username (admin)
- `REGISTRY_PASSWORD`: Docker registry password
## Verification
Check deployment status:
```bash
kubectl get all -n lpt-dev
kubectl get configmap -n lpt-dev
kubectl get secret -n lpt-dev
```
View logs:
```bash
kubectl logs -f deployment/lpt-fe -n lpt-dev
kubectl logs -f deployment/lpt-be -n lpt-dev
kubectl logs -f deployment/lpt-ai -n lpt-dev
```
## Architecture
```
┌─────────────────┐
│ lpt-fe:3000 │ (NodePort 30080)
│ Vue 3 + Nginx │
└────────┬────────┘
┌─────────────────┐
│ lpt-be:8080 │ (NodePort 30088)
│ Spring Boot │
└────────┬────────┘
├─────────► MySQL (external)
┌─────────────────┐
│ lpt-ai:5199 │ (ClusterIP)
│ FastAPI │
└─────────────────┘
LLM API (external)
```
## Notes
- **Namespace**: All resources use `lpt-dev` namespace
- **Registry**: Private Docker registry at `192.168.123.199:5000`
- **Image Pull**: All deployments use `imagePullSecrets: [name: regcred]`
- **ConfigMap**: Shared config is mounted as environment variables
- **Secrets**: Sensitive data (API keys, passwords) stored in `lpt-secrets`