- Introduced `SeoConcern` module to handle SEO meta tags
- Integrated `meta-tags` gem for customizable meta tags
- Created `RefreshSitemapWorker` to automate sitemap updates
- Added relevant meta tags in controllers for weather art and cities
- Configured sitemap generation settings
These changes improve the SEO of the application by ensuring that
pages have appropriate meta tags. Additionally, a sitemap is now
generated and refreshed daily, enhancing site visibility to search
engines.
- Introduce ArtsController with index action
- Create index view for displaying weather arts
- Implement Kaminari for pagination functionality
- Add necessary routes for accessing arts
- Update Gemfile to include Kaminari gem
- Create views for pagination controls
This implementation enhances the Weather Arts Gallery, allowing users to view and navigate through a collection of AI-generated weather arts easily. Pagination controls have been added to improve usability.
- Removed unnecessary queue configurations from Sidekiq configuration
- Added 'whenever' gem and its necessary dependencies for adding cron jobs
- Updated Docker workflow to cache Docker layers using actions/cache
This update improves the efficiency of CI/CD pipelines by caching Docker layers, which will help in reducing the time taken for the build process. Additionally, the changes in the Gemfile and the config/sidekiq.yml configuration will enable the project to run cron jobs for tasks like generating weather arts.
- 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.
- Created BatchGenerateWeatherArtsJob to process eligible
cities and generate weather art.
- Introduced GenerateWeatherArtJob for generating weather
art and image attachment.
- Added AiService for obtaining prompts and generating
images with OpenAI API.
- Implemented WeatherService to fetch current weather
data from the QWeather API.
- Updated Gemfile with necessary gems (whenever,
ruby-openai, httparty, down, aws-sdk-s3).
This commit introduces a system to create and store
weather art images for various cities based on current
weather conditions, leveraging external APIs for data
and image generation.
- Introduced the 'pg' gem for PostgreSQL support in the production
environment.
- Updated Gemfile to include it in the production group.
- Corresponding update in Gemfile.lock to ensure version 1.5.9 is
used.
This change prepares the application to use PostgreSQL as the
primary database in production, which is essential for running
production-grade applications effectively.
- Integrate 'friendly_id' gem for sluggable functionality in City model
- Create ActiveAdmin resources for managing cities and weather arts
- Implement controller logic for cities
- Add database migrations for cities and weather arts creation
- Seed database with sample data for testing
- Create initial test cases for controllers and models
This commit enhances the application's URL handling by allowing friendly URLs for cities and weather arts. The addition of ActiveAdmin resources facilitates easier management through a web interface.
