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111 lines
3.0 KiB
Bash
Executable File
111 lines
3.0 KiB
Bash
Executable File
#!/bin/bash
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# Remote Build Script for base-ml Image
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# This script builds the base-ml image on the remote production server
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# to avoid pushing 1.2GB+ over the network from local machine
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set -e
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# Colors for output
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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YELLOW='\033[1;33m'
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BLUE='\033[0;34m'
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NC='\033[0m' # No Color
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# Logging functions
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log_info() {
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echo -e "${BLUE}ℹ️ $1${NC}"
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}
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log_success() {
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echo -e "${GREEN}✅ $1${NC}"
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}
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log_warning() {
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echo -e "${YELLOW}⚠️ $1${NC}"
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}
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log_error() {
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echo -e "${RED}❌ $1${NC}"
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}
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# Configuration
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REMOTE_HOST="${1:-deploy@141.136.35.199}"
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REMOTE_DIR="${2:-/home/deploy/ai-tax-agent}"
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REGISTRY="${3:-gitea.harkon.co.uk}"
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VERSION="${4:-v1.0.1}"
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OWNER="${5:-harkon}"
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log_info "Remote Build Configuration"
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echo " Remote Host: $REMOTE_HOST"
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echo " Remote Directory: $REMOTE_DIR"
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echo " Registry: $REGISTRY"
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echo " Owner: $OWNER"
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echo " Version: $VERSION"
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echo ""
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# Step 1: Check if remote directory exists
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log_info "Checking remote directory..."
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if ! ssh "$REMOTE_HOST" "[ -d $REMOTE_DIR ]"; then
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log_error "Remote directory $REMOTE_DIR does not exist!"
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log_info "Creating remote directory..."
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ssh "$REMOTE_HOST" "mkdir -p $REMOTE_DIR"
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fi
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log_success "Remote directory exists"
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# Step 2: Sync code to remote server
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log_info "Syncing code to remote server..."
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rsync -avz --exclude='.git' \
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--exclude='__pycache__' \
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--exclude='*.pyc' \
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--exclude='.venv' \
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--exclude='venv' \
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--exclude='node_modules' \
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--exclude='.pytest_cache' \
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--exclude='.mypy_cache' \
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--exclude='.ruff_cache' \
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--exclude='*.egg-info' \
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--exclude='.DS_Store' \
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./ "$REMOTE_HOST:$REMOTE_DIR/"
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log_success "Code synced to remote server"
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# Step 3: Build base-ml on remote
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log_info "Building base-ml image on remote server..."
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log_warning "This will take 10-15 minutes (installing ML dependencies)..."
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ssh "$REMOTE_HOST" << 'ENDSSH'
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set -e
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cd /home/deploy/ai-tax-agent
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# Build base-ml image
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echo "Building base-ml image..."
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docker build \
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-f infra/docker/base-ml.Dockerfile \
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-t gitea.harkon.co.uk/harkon/base-ml:v1.0.1 \
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-t gitea.harkon.co.uk/harkon/base-ml:latest \
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.
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# Push to registry
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echo "Pushing base-ml image to registry..."
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docker push gitea.harkon.co.uk/harkon/base-ml:v1.0.1
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docker push gitea.harkon.co.uk/harkon/base-ml:latest
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# Show image size
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echo ""
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echo "=== Base ML Image Built ==="
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docker images | grep "base-ml"
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echo ""
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ENDSSH
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log_success "base-ml image built and pushed from remote server!"
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# Step 4: Verify image is available
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log_info "Verifying image is available in registry..."
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log_info "You can check at: https://$REGISTRY/$OWNER/-/packages/container/base-ml"
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log_success "Done! base-ml image is ready to use."
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log_info "Next steps:"
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echo " 1. Pull base-ml locally (optional): docker pull $REGISTRY/$OWNER/base-ml:$VERSION"
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echo " 2. Build ML services: ./scripts/build-and-push-images.sh $REGISTRY $VERSION $OWNER"
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