today_ai_weather/config/storage.yml
songtianlun d728d7f50e feat: add batch weather art generation jobs
- 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.
2025-01-22 16:50:00 +08:00

50 lines
2.2 KiB
YAML

test:
service: Disk
root: <%= Rails.root.join("tmp/storage") %>
local:
service: Disk
root: <%= Rails.root.join("storage") %>
# Use bin/rails credentials:edit to set the AWS secrets (as aws:access_key_id|secret_access_key)
# amazon:
# service: S3
# access_key_id: <%= Rails.application.credentials.dig(:aws, :access_key_id) %>
# secret_access_key: <%= Rails.application.credentials.dig(:aws, :secret_access_key) %>
# region: us-east-1
# bucket: your_own_bucket-<%= Rails.env %>
amazon_dev:
service: S3
access_key_id: <%= ENV.fetch("AWS_ACCESS_KEY_ID", Rails.application.credentials.dig(:aws_dev, :access_key_id)) %>
secret_access_key: <%= ENV.fetch("AWS_SECRET_ACCESS_KEY_ID", Rails.application.credentials.dig(:aws_dev, :secret_access_key)) %>
region: <%= ENV.fetch("AWS_REGION", Rails.application.credentials.dig(:aws_dev, :region)) %>
bucket: <%= ENV.fetch("AWS_BUCKET", Rails.application.credentials.dig(:aws_dev, :bucket)) %>
endpoint: <%= ENV.fetch("AWS_ENDPOINT", Rails.application.credentials.dig(:aws_dev, :endpoint)) %>
amazon:
service: S3
access_key_id: <%= ENV.fetch("AWS_ACCESS_KEY_ID", Rails.application.credentials.dig(:aws, :access_key_id)) %>
secret_access_key: <%= ENV.fetch("AWS_SECRET_ACCESS_KEY_ID", Rails.application.credentials.dig(:aws, :secret_access_key)) %>
region: <%= ENV.fetch("AWS_REGION", Rails.application.credentials.dig(:aws, :region)) %>
bucket: <%= ENV.fetch("AWS_BUCKET", Rails.application.credentials.dig(:aws, :bucket)) %>
endpoint: <%= ENV.fetch("AWS_ENDPOINT", Rails.application.credentials.dig(:aws, :endpoint)) %>
# Remember not to checkin your GCS keyfile to a repository
# google:
# service: GCS
# project: your_project
# credentials: <%= Rails.root.join("path/to/gcs.keyfile") %>
# bucket: your_own_bucket-<%= Rails.env %>
# Use bin/rails credentials:edit to set the Azure Storage secret (as azure_storage:storage_access_key)
# microsoft:
# service: AzureStorage
# storage_account_name: your_account_name
# storage_access_key: <%= Rails.application.credentials.dig(:azure_storage, :storage_access_key) %>
# container: your_container_name-<%= Rails.env %>
# mirror:
# service: Mirror
# primary: local
# mirrors: [ amazon, google, microsoft ]