# Manifest Suite: Sovereign MLOps Platform

## 1. Gitea Source Control (`k8s/base/gitea.yaml`)
```yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: gitea-data-pvc
  namespace: geocrop
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 10Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: gitea
  namespace: geocrop
spec:
  replicas: 1
  selector:
    matchLabels:
      app: gitea
  template:
    metadata:
      labels:
        app: gitea
    spec:
      containers:
      - name: gitea
        image: gitea/gitea:1.21.6
        env:
        - name: USER_UID
          value: "1000"
        - name: USER_GID
          value: "1000"
        ports:
        - containerPort: 3000
        - containerPort: 2222
        volumeMounts:
        - name: gitea-data
          mountPath: /data
      volumes:
      - name: gitea-data
        persistentVolumeClaim:
          claimName: gitea-data-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: gitea
  namespace: geocrop
spec:
  ports:
  - port: 3000
    targetPort: 3000
    name: http
  - port: 2222
    targetPort: 2222
    name: ssh
  selector:
    app: gitea
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: gitea-ingress
  namespace: geocrop
  annotations:
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
    nginx.ingress.kubernetes.io/proxy-body-size: "500m"
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - git.techarvest.co.zw
    secretName: gitea-tls
  rules:
  - host: git.techarvest.co.zw
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: gitea
            port:
              number: 3000
```

## 2. Terraform: Namespace (`terraform/main.tf`)
```hcl
terraform {
  required_providers {
    kubernetes = {
      source  = "hashicorp/kubernetes"
      version = "~> 2.0"
    }
  }
}

provider "kubernetes" {
  config_path = "~/.kube/config"
}

resource "kubernetes_namespace" "geocrop" {
  metadata {
    name = "geocrop"
  }
}

# Note: Resource quotas are intentionally omitted here and will be managed dynamically
# based on cluster telemetry to allow MLflow and Argo to consume available resources.
```

## 3. Standalone Postgres + PostGIS (`k8s/base/postgres-postgis.yaml`)
```yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: geocrop-db-pvc
  namespace: geocrop
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 10Gi
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: geocrop-db
  namespace: geocrop
spec:
  replicas: 1
  selector:
    matchLabels:
      app: geocrop-db
  template:
    metadata:
      labels:
        app: geocrop-db
    spec:
      containers:
      - name: postgis
        image: postgis/postgis:15-3.4
        ports:
        - containerPort: 5432
        env:
        - name: POSTGRES_DB
          value: geocrop_gis
        - name: POSTGRES_USER
          value: postgres
        - name: POSTGRES_PASSWORD
          valueFrom:
            secretKeyRef:
              name: geocrop-db-secret
              key: password
        resources:
          limits:
            memory: "512Mi" # Lightweight DB limit
          requests:
            memory: "256Mi"
        volumeMounts:
        - name: db-data
          mountPath: /var/lib/postgresql/data
      volumes:
      - name: db-data
        persistentVolumeClaim:
          claimName: geocrop-db-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: geocrop-db
  namespace: geocrop
spec:
  ports:
  - port: 5433
    targetPort: 5432
  selector:
    app: geocrop-db
```

## 3. MLflow Server (`k8s/base/mlflow.yaml`)
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: mlflow
  namespace: geocrop
spec:
  replicas: 1
  selector:
    matchLabels:
      app: mlflow
  template:
    metadata:
      labels:
        app: mlflow
    spec:
      containers:
      - name: mlflow
        image: ghcr.io/mlflow/mlflow:v2.10.2
        command:
          - mlflow
          - server
          - --host=0.0.0.0
          - --port=5000
          - --backend-store-uri=postgresql://postgres:$(DB_PASSWORD)@geocrop-db:5433/geocrop_gis
          - --default-artifact-root=s3://geocrop-models/mlflow-artifacts
        env:
        - name: DB_PASSWORD
          valueFrom:
            secretKeyRef:
              name: geocrop-db-secret
              key: password
        - name: AWS_ACCESS_KEY_ID
          valueFrom:
            secretKeyRef:
              name: geocrop-secrets
              key: minio-access-key
        - name: AWS_SECRET_ACCESS_KEY
          valueFrom:
            secretKeyRef:
              name: geocrop-secrets
              key: minio-secret-key
        - name: MLFLOW_S3_ENDPOINT_URL
          value: http://minio.geocrop.svc.cluster.local:9000
        ports:
        - containerPort: 5000
        resources:
          limits:
            memory: "512Mi"
---
apiVersion: v1
kind: Service
metadata:
  name: mlflow
  namespace: geocrop
spec:
  ports:
  - port: 5000
    targetPort: 5000
  selector:
    app: mlflow
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: mlflow-ingress
  namespace: geocrop
  annotations:
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - ml.techarvest.co.zw
    secretName: mlflow-tls
  rules:
  - host: ml.techarvest.co.zw
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: mlflow
            port:
              number: 5000
```

## 5. JupyterHub Data Science Workspace (`k8s/base/jupyter.yaml`)
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: jupyter-lab
  namespace: geocrop
spec:
  replicas: 1
  selector:
    matchLabels:
      app: jupyter-lab
  template:
    metadata:
      labels:
        app: jupyter-lab
    spec:
      containers:
      - name: jupyter
        image: jupyter/datascience-notebook:python-3.11
        env:
        - name: JUPYTER_ENABLE_LAB
          value: "yes"
        - name: AWS_ACCESS_KEY_ID
          valueFrom:
            secretKeyRef:
              name: geocrop-secrets
              key: minio-access-key
        - name: AWS_SECRET_ACCESS_KEY
          valueFrom:
            secretKeyRef:
              name: geocrop-secrets
              key: minio-secret-key
        - name: AWS_S3_ENDPOINT_URL
          value: http://minio.geocrop.svc.cluster.local:9000
        ports:
        - containerPort: 8888
        resources:
          requests:
            memory: "1Gi"
          limits:
            memory: "2Gi" # Explicitly higher limit for data science
---
apiVersion: v1
kind: Service
metadata:
  name: jupyter-lab
  namespace: geocrop
spec:
  ports:
  - port: 8888
    targetPort: 8888
  selector:
    app: jupyter-lab
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: jupyter-ingress
  namespace: geocrop
  annotations:
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - lab.techarvest.co.zw
    secretName: jupyter-tls
  rules:
  - host: lab.techarvest.co.zw
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: jupyter-lab
            port:
              number: 8888
```

## 5. Gitea Action: Build & Sync to Docker Hub (`.gitea/workflows/build-push.yaml`)
```yaml
name: Build and Push Docker Images
on:
  push:
    branches:
      - main
    paths:
      - 'apps/**'

jobs:
  build-worker:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3

      - name: Login to Docker Hub
        uses: docker/login-action@v2
        with:
          username: frankchine
          password: ${{ secrets.DOCKERHUB_TOKEN }}

      - name: Build and push Worker Image
        uses: docker/build-push-action@v4
        with:
          context: ./apps/worker
          push: true
          tags: frankchine/geocrop-worker:latest, frankchine/geocrop-worker:${{ github.sha }}

  build-api:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3

      - name: Login to Docker Hub
        uses: docker/login-action@v2
        with:
          username: frankchine
          password: ${{ secrets.DOCKERHUB_TOKEN }}

      - name: Build and push API Image
        uses: docker/build-push-action@v4
        with:
          context: ./apps/api
          push: true
          tags: frankchine/geocrop-api:latest, frankchine/geocrop-api:${{ github.sha }}
```


  build-api:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3

      - name: Login to Docker Hub
        uses: docker/login-action@v2
        with:
          username: frankchine
          password: ${{ secrets.DOCKERHUB_TOKEN }}

      - name: Build and push API Image
        uses: docker/build-push-action@v4
        with:
          context: ./apps/api
          push: true
          tags: frankchine/geocrop-api:latest, frankchine/geocrop-api:${{ github.sha }}
```