Add boto3 dependency and update exercise/machine assets

- Added boto3 as a dependency in pyproject.toml and uv.lock.
- Introduced multiple new exercise images in various formats (jpg, webp, avif, png).
- Added new machine images to enhance the workout assets library.

infra/docker-compose.yml

@@ -55,13 +55,24 @@ services:
     environment:
       DATABASE_URL: ${LOGIC_DATABASE_URL:-postgresql+psycopg://train_watcher:train_watcher@host.docker.internal:5432/train_watcher}
       SERVICE_TOKEN: ${SERVICE_TOKEN:-dev-service-token-change-me}
+      S3_ENDPOINT_URL: ${S3_ENDPOINT_URL:-http://host.docker.internal:9000}
+      S3_PUBLIC_BASE_URL: ${S3_PUBLIC_BASE_URL:-http://localhost:9000}
+      S3_ACCESS_KEY_ID: ${S3_ACCESS_KEY_ID:-minioadmin}
+      S3_SECRET_ACCESS_KEY: ${S3_SECRET_ACCESS_KEY:-minioadmin}
+      S3_BUCKET: ${S3_BUCKET:-train-watcher-media}
+      S3_REGION: ${S3_REGION:-us-east-1}
+      BUILTIN_ASSETS_DIR: /app/workout_assets
     extra_hosts:
       - "host.docker.internal:host-gateway"
     ports:
       - "8002:8000"
+    volumes:
+      - ../workout_assets:/app/workout_assets:ro
     depends_on:
       postgres:
         condition: service_healthy
+      minio-init:
+        condition: service_completed_successfully
     healthcheck:
       test: ["CMD", "/app/.venv/bin/python", "-c", "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=2)"]
       interval: 5s