- 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.
- Change job execution frequency from once every hour to every two hours.
- Ensure the `BatchGenerateWeatherArtsJob` runs as intended without unnecessary frequency.
This change addresses performance concerns by reducing the load on the system caused by frequent job executions.
- 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.
