docker-compose.test-sources.yml

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#
# Test source/destination databases for local full-flow testing.
# Adds a MySQL source + a dedicated PostgreSQL destination so you can run
# a real batch pipeline end-to-end without touching prod data.
#
# Usage (layer on top of the local prod-mirror):
#   docker compose \
#     -f docker-compose.yml \
#     -f docker-compose.prod.yml \
#     -f docker-compose.staging.yml \
#     -f docker-compose.test-sources.yml \
#     --env-file .env.staging \
#     up -d
#
# Then seed test data:
#   ./scripts/seed-test-data.sh

name: rsync-ai

services:
  # ── MySQL source ────────────────────────────────────────────────────────────
  # Simulates a real MySQL production database (orders, users, products tables).
  mysql-source:
    image: mysql:8.0
    container_name: rsync-ai-mysql-source
    restart: unless-stopped
    environment:
      MYSQL_ROOT_PASSWORD: testpassword
      MYSQL_DATABASE: shop_db
      MYSQL_USER: rsync
      MYSQL_PASSWORD: rsyncpass
    ports:
      - "127.0.0.1:3306:3306"
    volumes:
      - mysql_source_data:/var/lib/mysql
    healthcheck:
      test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "rsync", "-prsyncpass"]
      interval: 10s
      timeout: 5s
      retries: 5
      start_period: 30s

  # ── PostgreSQL destination ──────────────────────────────────────────────────
  # Separate from the control-plane postgres — acts as pipeline destination.
  postgres-dest:
    image: postgres:16-alpine
    container_name: rsync-ai-postgres-dest
    restart: unless-stopped
    environment:
      POSTGRES_USER: rsync
      POSTGRES_PASSWORD: rsyncpass
      POSTGRES_DB: dest_db
    ports:
      - "127.0.0.1:5433:5432"
    volumes:
      - postgres_dest_data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U rsync -d dest_db"]
      interval: 10s
      timeout: 5s
      retries: 5

volumes:
  mysql_source_data:
  postgres_dest_data: