by m.engler
Reader Insights Dashboard
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class StandaloneApplication(BaseApplication):
def __init__(self, app, options=None):
self.application = app
self.options = options or {}
super().__init__()
def load_config(self):
# Apply configuration to Gunicorn
for key, value in self.options.items():
if key in self.cfg.settings and value is not None:
self.cfg.set(key.lower(), value)
def load(self):
Created: | Last Updated:
Here's a step-by-step guide for using the Reader Insights Dashboard template:
Introduction
The Reader Insights Dashboard template provides an analytics dashboard for tracking reader behavior with interactive visualizations, customizable filters, and real-time data updates. This dashboard allows you to monitor key metrics about your readers, including total readers, average age, reading time, and subscription distribution.
Getting Started
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Click "Start with this Template" to begin using the Reader Insights Dashboard template in Lazy.
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Press the "Test" button to deploy the application and launch the Lazy CLI.
Using the Dashboard
Once the application is deployed, you'll be able to access the Reader Insights Dashboard through a dedicated server link provided by Lazy. The dashboard consists of several key features:
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Home Page: Displays a welcome message and basic navigation.
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Reader Statistics: Shows key metrics and visualizations, including:
- Total number of readers
- Average age of readers
- Total reading time
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Subscription distribution chart
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Add Reader: Allows you to add new reader data to the system.
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Team Management: Manage admin access and email domain permissions.
Adding Reader Data
To add new reader data:
- Navigate to the "Add Reader" page from the sidebar.
- Fill out the form with the following information:
- Age Group
- Article Categories (select multiple)
- Interests
- Postal Code (5-digit German postal code)
- Subscription Type
- Click "Add Reader" to submit the data.
The system will automatically assign a specific age within the selected age group and determine the state based on the postal code.
Viewing Reader Statistics
To view reader statistics:
- Click on "Reader Statistics" in the sidebar.
- Use the date range selector at the top of the page to filter data for a specific period.
- View the statistics cards and subscription distribution chart.
Managing Team Access
To manage team access:
- Click on "Team" in the sidebar.
- Here you can:
- Add new admin emails
- Add allowed email domains
- Block or unblock admin access
- Delete admin accounts
Integrating the Dashboard
This dashboard is a standalone web application and doesn't require integration with external tools. However, you may want to consider the following:
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Data Import: If you have existing reader data, you'll need to add it manually through the "Add Reader" interface or consider developing a bulk import feature.
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Authentication: The dashboard uses a built-in authentication system. Ensure that admin emails are added to the allowed list for access.
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Customization: You may want to customize the dashboard's appearance or add additional metrics. This would require modifying the template code within Lazy.
By following these steps, you'll have a fully functional Reader Insights Dashboard to track and analyze your reader behavior. Remember to regularly add new reader data to keep your insights up-to-date.
Template Benefits
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Comprehensive Reader Analytics: This dashboard provides a centralized view of reader statistics, including total readers, average age, reading time, and subscription distribution. This enables data-driven decision-making for content strategy and audience engagement.
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User Management and Access Control: The template includes robust user management features, allowing administrators to add, block, or delete admin users and manage domain-level access. This ensures secure and controlled access to sensitive reader data.
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Customizable Data Collection: The "Add Reader" functionality allows for detailed data collection on reader demographics, interests, and subscription types. This granular data can be used for targeted marketing campaigns and personalized content recommendations.
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Interactive Data Visualization: With built-in charts and graphs, the dashboard presents complex data in an easily digestible format. This visual representation helps in quickly identifying trends and patterns in reader behavior.
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Scalable and Maintainable Architecture: The template uses a modular structure with separate files for routes, models, and database migrations. This architecture promotes easy maintenance, scalability, and future feature additions to the dashboard.
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