- Removed the version declaration from the compose.yaml file.
This change simplifies the configuration by removing a version number,
allowing Docker Compose to use the latest compatible version. This
change does not impact the functionality of the services defined in
this file.
- Replace hardcoded DATABASE_URL and RAILS_MASTER_KEY with
environment variables.
- Change POSTGRES_PASSWORD to utilize an environment
variable instead of a hardcoded value.
These changes enhance security by ensuring sensitive
information is not exposed in the configuration files,
allowing for better practices in managing environment
variables.
- Disabled port mapping for the web service in the Docker Compose file
- This may affect how the application is accessed outside of the container
- The decision to comment out the ports could be for environmental reasons or to avoid port conflicts
- Changed Redis data volume path from '../daw_data/redis' to '../taw_data/redis'.
This update reflects a restructuring in the project directory for better
data organization and may require corresponding adjustments in other
configuration files to ensure data consistency.
- Update PostgreSQL data directory to point to taw_data/pg
- Update Redis data directory to point to daw_data/redis
This change updates the Docker compose file to use different data directories for PostgreSQL and Redis. It improves the overall organization and clarity of the configuration.
- Implement BatchGenerateWeatherArtsWorker to handle batch
processing of weather art generation.
- Create GenerateWeatherArtWorker for individual weather art
generation tasks.
- Update Dockerfile to include redis-tools for Sidekiq support.
- Modify Gemfile to add sidekiq and sidekiq-scheduler gems.
- Configure Sidekiq in initializers and set up routes for
Sidekiq dashboard.
- Include a sidekiq.yml configuration for scheduling jobs.
- Create compose.yaml for Docker services including web,
database, Redis, and Sidekiq workers.
These changes introduce background processing capabilities
using Sidekiq, allowing for efficient generation of weather
art through scheduled and managed job queues, optimizing
performance and scalability.
