255 lines
8.0 KiB
Bash
255 lines
8.0 KiB
Bash
#!/bin/bash
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set -e # Exit on any error
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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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NC='\033[0m' # No Color
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# Cleanup function
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cleanup() {
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echo -e "\n${YELLOW}Cleaning up...${NC}"
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docker compose down
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exit 0
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}
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# Trap Ctrl+C
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trap cleanup SIGINT SIGTERM
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# Get the project root directory
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PROJECT_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
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cd "$PROJECT_ROOT"
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echo -e "${GREEN}🚀 Starting p1ctos4ve backend setup...${NC}"
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# Step 1: Start Docker services
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echo -e "${YELLOW}📦 Step 1: Starting Docker services (PostgreSQL, Redis, SeaweedFS)...${NC}"
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docker compose up -d
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# Get the actual network name from docker compose (it adds project prefix)
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# Docker Compose uses directory name as project prefix, so network will be {project}_p1ctos4ve-network
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NETWORK_NAME=$(docker network ls --format "{{.Name}}" | grep "p1ctos4ve-network" | head -n 1)
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# Fallback to default if not found
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if [ -z "$NETWORK_NAME" ]; then
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# Try to get from docker compose config
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NETWORK_NAME=$(docker compose config 2>/dev/null | grep -A 2 "networks:" | grep "name:" | awk '{print $2}' | tr -d '"' | head -n 1)
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# Final fallback
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if [ -z "$NETWORK_NAME" ]; then
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NETWORK_NAME="p1ctos4ve-network"
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fi
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fi
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echo -e "${YELLOW}Using network: ${NETWORK_NAME}${NC}"
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# Wait for services to be healthy
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echo -e "${YELLOW}⏳ Waiting for services to be ready...${NC}"
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# Wait for PostgreSQL
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echo -n "Waiting for PostgreSQL..."
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until docker exec p1ctos4ve-postgres pg_isready -U p1ctos4ve > /dev/null 2>&1; do
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echo -n "."
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sleep 1
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done
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echo -e " ${GREEN}✓${NC}"
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# Wait for Redis
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echo -n "Waiting for Redis..."
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until docker exec p1ctos4ve-redis redis-cli ping > /dev/null 2>&1; do
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echo -n "."
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sleep 1
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done
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echo -e " ${GREEN}✓${NC}"
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# Wait for SeaweedFS master
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echo -n "Waiting for SeaweedFS master..."
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for i in {1..30}; do
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if curl -s http://localhost:9333/cluster/status > /dev/null 2>&1; then
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break
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fi
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echo -n "."
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sleep 1
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done
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echo -e " ${GREEN}✓${NC}"
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# Wait for SeaweedFS filer
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echo -n "Waiting for SeaweedFS filer..."
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for i in {1..30}; do
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if curl -s http://localhost:8888 > /dev/null 2>&1; then
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break
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fi
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echo -n "."
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sleep 1
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done
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echo -e " ${GREEN}✓${NC}"
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# Wait for SeaweedFS S3
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echo -n "Waiting for SeaweedFS S3..."
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for i in {1..30}; do
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if curl -s http://localhost:8333 > /dev/null 2>&1; then
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break
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fi
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echo -n "."
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sleep 1
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done
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echo -e " ${GREEN}✓${NC}"
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# Wait a bit more for SeaweedFS to fully initialize
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sleep 2
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# Create S3 bucket in SeaweedFS if it doesn't exist
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echo -e "${YELLOW}📦 Creating S3 bucket in SeaweedFS...${NC}"
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BUCKET_NAME="p1ctos4ve"
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# Try to create bucket via S3 API (using AWS CLI-like approach)
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if ! curl -s -X PUT "http://localhost:8333/${BUCKET_NAME}" > /dev/null 2>&1; then
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# Alternative: create via filer API
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curl -X PUT "http://localhost:8888/buckets/${BUCKET_NAME}" > /dev/null 2>&1 || true
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fi
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echo -e "${GREEN}✓ Bucket ready${NC}"
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# Step 2: Build backend
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echo -e "${YELLOW}🔨 Step 2: Building backend...${NC}"
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cd "$PROJECT_ROOT"
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docker build -t p1ctos4ve-backend:latest -f apps/backend/Dockerfile .
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# Step 3: Run migrations
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echo -e "${YELLOW}🗄️ Step 3: Running database migrations...${NC}"
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docker run --rm \
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--network "${NETWORK_NAME}" \
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-e DATABASE_URL="postgresql://p1ctos4ve:p1ctos4ve_password@host.docker.internal:5432/p1ctos4ve" \
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-e REDIS_URL="redis://redis:6379" \
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-e S3_ENDPOINT="http://seaweedfs-s3:8333" \
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-e S3_REGION="us-east-1" \
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-e S3_BUCKET="${BUCKET_NAME}" \
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-e S3_ACCESS_KEY_ID="any" \
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-e S3_SECRET_ACCESS_KEY="any" \
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-e S3_FORCE_PATH_STYLE="true" \
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-e BETTER_AUTH_SECRET="$(openssl rand -hex 32)" \
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-e BETTER_AUTH_URL="http://localhost:3000" \
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-e BASE_URL="http://localhost:3000" \
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-e NODE_ENV="production" \
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-e PORT="3000" \
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p1ctos4ve-backend:latest \
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bun run db:migrate
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# Step 4: Run unit tests
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echo -e "${YELLOW}🧪 Step 4: Running unit tests...${NC}"
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docker run --rm \
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--network "${NETWORK_NAME}" \
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-e DATABASE_URL="postgresql://p1ctos4ve:p1ctos4ve_password@host.docker.internal:5432/p1ctos4ve" \
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-e REDIS_URL="redis://host.docker.internal:6379" \
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-e S3_ENDPOINT="http://host.docker.internal:8333" \
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-e S3_REGION="us-east-1" \
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-e S3_BUCKET="${BUCKET_NAME}" \
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-e S3_ACCESS_KEY_ID="any" \
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-e S3_SECRET_ACCESS_KEY="any" \
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-e S3_FORCE_PATH_STYLE="true" \
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-e BETTER_AUTH_SECRET="$(openssl rand -hex 32)" \
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-e BETTER_AUTH_URL="http://localhost:3000" \
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-e BASE_URL="http://localhost:3000" \
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-e NODE_ENV="test" \
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-e PORT="3000" \
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p1ctos4ve-backend:latest \
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bun test src/tests/unit/
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if [ $? -eq 0 ]; then
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echo -e "${GREEN}✓ Unit tests passed${NC}"
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else
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echo -e "${RED}✗ Unit tests failed${NC}"
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exit 1
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fi
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# Step 5: Run integration tests
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echo -e "${YELLOW}🔗 Step 5: Running integration tests...${NC}"
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# Start backend server in background for e2e tests
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echo -e "${YELLOW}Starting backend server for e2e tests...${NC}"
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BACKEND_CONTAINER=$(docker run -d \
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--name p1ctos4ve-backend-test \
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--network "${NETWORK_NAME}" \
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-p 3000:3000 \
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-e DATABASE_URL="postgresql://p1ctos4ve:p1ctos4ve_password@host.docker.internal:5432/p1ctos4ve" \
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-e REDIS_URL="redis://host.docker.internal:6379" \
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-e S3_ENDPOINT="http://host.docker.internal:8333" \
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-e S3_REGION="us-east-1" \
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-e S3_BUCKET="${BUCKET_NAME}" \
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-e S3_ACCESS_KEY_ID="any" \
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-e S3_SECRET_ACCESS_KEY="any" \
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-e S3_FORCE_PATH_STYLE="true" \
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-e BETTER_AUTH_SECRET="$(openssl rand -hex 32)" \
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-e BETTER_AUTH_URL="http://localhost:3000" \
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-e BASE_URL="http://localhost:3000" \
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-e NODE_ENV="test" \
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-e PORT="3000" \
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p1ctos4ve-backend:latest)
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# Wait for server to be ready
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echo -n "Waiting for backend server to start..."
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for i in {1..30}; do
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if curl -s http://localhost:3000 > /dev/null 2>&1; then
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break
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fi
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echo -n "."
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sleep 1
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done
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echo -e " ${GREEN}✓${NC}"
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# Run e2e tests in the same container (server runs in background via exec)
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# This way tests can access localhost:3000
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docker exec p1ctos4ve-backend-test sh -c "bun test --preload ./src/tests/setup.ts src/tests/e2e/" || \
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docker run --rm \
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--network "${NETWORK_NAME}" \
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-e DATABASE_URL="postgresql://p1ctos4ve:p1ctos4ve_password@host.docker.internal:5432/p1ctos4ve" \
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-e REDIS_URL="redis://host.docker.internal:6379" \
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-e S3_ENDPOINT="http://host.docker.internal:8333" \
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-e S3_REGION="us-east-1" \
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-e S3_BUCKET="${BUCKET_NAME}" \
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-e S3_ACCESS_KEY_ID="any" \
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-e S3_SECRET_ACCESS_KEY="any" \
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-e S3_FORCE_PATH_STYLE="true" \
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-e BETTER_AUTH_SECRET="$(openssl rand -hex 32)" \
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-e BETTER_AUTH_URL="http://p1ctos4ve-backend-test:3000" \
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-e BASE_URL="http://p1ctos4ve-backend-test:3000" \
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-e NODE_ENV="test" \
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-e PORT="3000" \
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p1ctos4ve-backend:latest \
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sh -c "find src/tests/e2e -name '*.test.ts' -exec sed -i 's|http://localhost:3000|http://p1ctos4ve-backend-test:3000|g' {} \; && bun test --preload ./src/tests/setup.ts src/tests/e2e/"
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TEST_EXIT_CODE=$?
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# Stop and remove backend test container
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echo -e "${YELLOW}Stopping test backend server...${NC}"
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docker stop p1ctos4ve-backend-test > /dev/null 2>&1 || true
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docker rm p1ctos4ve-backend-test > /dev/null 2>&1 || true
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if [ $TEST_EXIT_CODE -eq 0 ]; then
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echo -e "${GREEN}✓ Integration tests passed${NC}"
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else
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echo -e "${RED}✗ Integration tests failed${NC}"
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exit 1
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fi
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# Step 6: Start the application
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echo -e "${YELLOW}🚀 Step 6: Starting the application...${NC}"
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echo -e "${GREEN}Application will be available at http://localhost:3000${NC}"
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echo -e "${YELLOW}Press Ctrl+C to stop${NC}"
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docker run --rm \
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--network "${NETWORK_NAME}" \
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-p 3000:3000 \
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-e DATABASE_URL="postgresql://p1ctos4ve:p1ctos4ve_password@host.docker.internal:5432/p1ctos4ve" \
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-e REDIS_URL="redis://host.docker.internal:6379" \
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-e S3_ENDPOINT="http://host.docker.internal:8333" \
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-e S3_REGION="us-east-1" \
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-e S3_BUCKET="${BUCKET_NAME}" \
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-e S3_ACCESS_KEY_ID="any" \
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-e S3_SECRET_ACCESS_KEY="any" \
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-e S3_FORCE_PATH_STYLE="true" \
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-e BETTER_AUTH_SECRET="$(openssl rand -hex 32)" \
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-e BETTER_AUTH_URL="http://localhost:3000" \
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-e BASE_URL="http://localhost:3000" \
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-e NODE_ENV="production" \
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-e PORT="3000" \
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p1ctos4ve-backend:latest
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