- Modify the code to use the `hd` quality setting
- Update the code to use the `hd` quality setting.
- Ensure there are no other side effects of this change.
- These changes will improve the user experience.
</commit_message>
- Add requirements for clearer and brighter images
- Specify maintenance of brightness even in overcast conditions
- Include enhancements for sunny day imagery
- Revise output prompt to remove unnecessary prefix and suffix
These changes improve the clarity and effectiveness of prompts
used in AI-generated imagery. The additional specifications help
guide the AI in producing visually appealing and contextually
relevant images for various weather conditions.
- Refactor prompt generation to separate location
description functionality
- Update user prompt generation for DALL-E 3
- Improve AI service's response handling
This change enhances the AiService by creating a more
modular approach to generating prompts. The introduction
of a `generate_location_desc` method improves the
detail and context provided in the generated prompts.
Furthermore, the `ask_ai` method centralizes AI request
logic, allowing for cleaner and more organized code.
These adjustments should improve the overall robustness
and readability of the prompt generation process.
- Include state, country, and region in the DALL-E prompt
- Enhance context for the generated weather scene
This change improves the specificity of the prompts generated
for the AI, providing more contextual information such as
state, country, and region alongside the city name. This
enhancement can lead to more accurate and relevant outputs
from the DALL-E 3 model for weather scenes.
- Include actual update time in weather report
- Rename watermark worker file for clarity
This commit enhances the weather data report by
updating the format to include the actual update time
retrieved from the weather service API. Additionally,
the watermark worker file has been renamed to improve
readability and consistency in the naming convention.
- Added 'libpq-dev' to the packages installed in the Dockerfile
- Updated the base_uri in WeatherService to use 'dig' for safer access
These changes improve the Docker environment by ensuring that
necessary PostgreSQL development headers are available during
installation. The weather service now safely accesses the
URI from the credentials, reducing the risk of errors when
fetching nested configuration data.
- Adjust formatting for message parameters in the chat call
- Eliminate unnecessary blank lines in generate_prompt_request method
- Ensure consistent styles for arrays and block indentation
These changes improve code readability and maintain consistency in
formatting for better maintainability without altering functionality.
- 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.
