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Dockerize app #16
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Dockerize app #16
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Reviewer's GuideThis PR fully dockerizes the application by introducing multistage Dockerfiles for backend and frontend, a comprehensive docker-compose stack with healthchecks and Nginx proxy, container entrypoint scripts, dependency updates, and a new Django migration. Sequence diagram for service startup and healthcheck dependenciessequenceDiagram
participant nginx
participant django-web-frontend
participant django-web-backend
participant pg_server
participant cache
participant rabbitmq_server
participant celery-worker
nginx->>django-web-backend: Wait for healthy
nginx->>django-web-frontend: Wait for healthy
django-web-frontend->>django-web-backend: Wait for healthy
django-web-backend->>pg_server: Wait for healthy
django-web-backend->>cache: Wait for healthy
django-web-backend->>rabbitmq_server: Wait for healthy
celery-worker->>django-web-backend: Wait for healthy
celery-worker->>pg_server: Wait for healthy
celery-worker->>cache: Wait for started
celery-worker->>rabbitmq_server: Wait for healthy
Class diagram for Dockerfile-based backend entrypoint scriptsclassDiagram
class web_entry.sh {
+activate venv
+makemigrations
+migrate
+import_chess_openings
+start gunicorn
}
class celery_entry.sh {
+activate venv
+start celery worker
}
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Hey there - I've reviewed your changes - here's some feedback:
- You’ve added empty .dockerignore and Dockerfile.frontend files—either populate them with the appropriate ignore rules and frontend build steps or remove them until you’re ready to avoid build failures.
- The volumes media_files and static_files are declared but not mounted by any service—either remove them or wire them up if you intend to persist uploads and static assets.
- The custom 'develop' section in the django-web-backend service isn’t a standard Docker Compose field; consider moving those development-specific mounts into a compose override file (docker-compose.override.yml) for better compatibility.
Prompt for AI Agents
Please address the comments from this code review:
## Overall Comments
- You’ve added empty .dockerignore and Dockerfile.frontend files—either populate them with the appropriate ignore rules and frontend build steps or remove them until you’re ready to avoid build failures.
- The volumes media_files and static_files are declared but not mounted by any service—either remove them or wire them up if you intend to persist uploads and static assets.
- The custom 'develop' section in the django-web-backend service isn’t a standard Docker Compose field; consider moving those development-specific mounts into a compose override file (docker-compose.override.yml) for better compatibility.
## Individual Comments
### Comment 1
<location> `docker-compose.yml:30` </location>
<code_context>
- RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER} # Load from .env
- RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS} # Load from .env
restart: unless-stopped
+ healthcheck:
+ test: rabbitmq-diagnostics -q ping
+ interval: 30s
+ timeout: 30s
+ retries: 3
volumes:
- rabbitmqdata:/var/lib/rabbitmq/
</code_context>
<issue_to_address>
Healthcheck for RabbitMQ uses rabbitmq-diagnostics, which may not be present in all images.
Verify that the image includes rabbitmq-diagnostics, or switch to a more universally available healthcheck command like rabbitmqctl or a TCP check to ensure reliability.
</issue_to_address>
### Comment 2
<location> `nginx/default.conf:14` </location>
<code_context>
+ location ^~ /server/ {
+ rewrite ^/server/(.*) /api/v1/$1 break;
+ proxy_pass http://gunicorn;
+ error_page 405 =200 $uri;
+}
+location / {
</code_context>
<issue_to_address>
Returning 200 for 405 errors may mask underlying issues.
Returning 200 for 405 errors can obscure real issues and complicate debugging. Please confirm if this behavior is intentional for all affected endpoints.
</issue_to_address>
### Comment 3
<location> `web_entry.sh:10` </location>
<code_context>
+python manage.py import_chess_openings
+
+# exec python manage.py runserver 0.0.0.0:8000
+exec gunicorn my_chess_style.wsgi -b 0.0.0.0:8000
</code_context>
<issue_to_address>
Gunicorn is used for serving Django, but no worker configuration is specified.
Specify worker count and timeout for Gunicorn to improve performance and stability under load.
</issue_to_address>
### Comment 4
<location> `celery_entry.sh:6` </location>
<code_context>
+
+. /app/.venv/bin/activate
+
+exec celery -A my_chess_style worker --loglevel=info --without-heartbeat --without-gossip --without-mingle --concurrency=4 -E
</code_context>
<issue_to_address>
Celery worker concurrency is hardcoded to 4.
Recommend using an environment variable for concurrency to allow flexibility across deployments.
</issue_to_address>
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Closes #14
Summary by Sourcery
Dockerize the application with container orchestration, introduce production-ready server setup, and include a new database migration
New Features:
Enhancements:
Deployment:
Chores: