- Change table to display cities based on popularity
- Modify button logic to toggle between "停用" (disable) and "激活" (activate) based on current city status
This update improves the usability of the Ahoy Dashboard by providing
clearer management options for city statuses. Users can now easily
activate or deactivate cities from the dashboard, enhancing overall
administrative efficiency.
- Implement a new panel in the Ahoy Dashboard
- Display least popular active cities along with their visit counts
- Include action buttons to toggle city statuses with confirmations
This addition enhances the admin dashboard by providing insights into
city rankings based on user visits. It allows administrators to
manage city statuses directly from the dashboard, improving usability
and functionality.
- Implement city status toggle functionality in the Ahoy Dashboard
- Add buttons for activating and deactivating cities
- Update the UI to show the current status of cities
This commit enhances the admin dashboard by allowing
administrators to toggle the activation status of cities.
The buttons provide confirmation prompts before executing
state changes, improving user experience and preventing
accidental actions.
- Simplify query for most popular inactive cities in City model
- Minor layout changes in Admin Dashboards for Ahoy and Sidekiq tasks
This refactoring improves code organization, reducing complexity in the City model and making it easier to read. Additionally, the Admin dashboard layouts have been simplified for a better user experience.
- Introduce a new admin dashboard for viewing Ahoy statistics.
- Display total visits, event counts, and unique visitors.
- List most popular and least popular active cities with their visit counts.
- Add a panel for recent events.
- Modify existing dashboard to include a section for inactive cities.
This commit introduces a comprehensive dashboard that helps
admin users monitor the traffic and engagement statistics of
various cities. The changes include functionality to show
active and inactive cities based on their popularity,
allowing for better insights into user engagement across
the application.
