by moonboy

Verified Template

Spreadsheet Upload and Processing for Analytics

Test this app for free
40
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):
Get full code

Frequently Asked Questions

How can this spreadsheet upload and processing template benefit businesses?

This template offers significant advantages for businesses that regularly work with spreadsheet data. It streamlines the process of uploading, processing, and downloading spreadsheets, which can save time and reduce errors. For example, a sales team could use this template to upload their weekly reports, have them automatically processed to add custom data or calculations, and then download the enhanced version. This automation can improve efficiency and data consistency across the organization.

What industries or departments might find this template particularly useful?

The spreadsheet upload and processing template is versatile and can be beneficial in various sectors: - Finance departments for processing budget sheets or financial reports - HR teams for handling employee data or performance metrics - Marketing teams for analyzing campaign data - Operations teams for inventory management or supply chain data - Research departments for processing and enhancing datasets

Its flexibility allows it to be adapted to many different use cases where spreadsheet data needs to be consistently processed and enhanced.

How does the access management feature enhance the security of this template?

The access management feature in this spreadsheet upload and processing template provides robust security through several mechanisms: - Secure login system - Domain-based access control (allowing specific email domains) - Individual user allowlist - User blocking capabilities

This multi-layered approach ensures that only authorized personnel can access and process sensitive spreadsheet data, reducing the risk of data breaches or unauthorized modifications.

How can I customize the file processing functionality in this template?

The file processing functionality can be customized by modifying the process_file function in the file_processor.py file. Currently, it adds a placeholder custom data column. You can extend this to perform more complex operations. Here's an example of how you might modify it to add a calculated column:

```python def process_file(file): # ... existing code ...

   # Add a calculated column
   df['total_value'] = df['quantity'] * df['price']

   # ... rest of the function ...

```

This example assumes the spreadsheet has 'quantity' and 'price' columns and calculates a 'total_value' column. You can add any number of data processing steps within this function to suit your specific needs.

Can the template handle large spreadsheets, and how might I optimize it for performance?

The current implementation of the spreadsheet upload and processing template uses pandas, which can handle reasonably large spreadsheets. However, for very large files or to optimize performance, you could consider the following modifications:

Created: | Last Updated:

This template is a great starting point for uploading a spreadsheet then processing it for analytical purposes and allowing to download it again. It has the following functionality: - secure login and access management for users - spreadsheet upload - FAKE PROCESSING - you need to ask Lazy to implement this - spreadsheet download

Here's a step-by-step guide for using the Admin Dashboard Template:

Introduction

This Admin Dashboard Template provides a robust foundation for building administrative interfaces. It includes features for user authentication, file processing, and admin management. The dashboard is designed to be easily customizable and extendable for various administrative needs.

Getting Started

To begin using this template:

  1. Click "Start with this Template" in the Lazy Builder interface.

Test the Application

After starting with the template:

  1. Click the "Test" button in the Lazy Builder interface.
  2. This will initiate the deployment process and launch the Lazy CLI.

Using the Admin Dashboard

Once the application is deployed, you'll be provided with a server link to access the Admin Dashboard. Here's how to use its main features:

Authentication

The dashboard uses Flask-App-Authenticator for user authentication. Users will need to log in with their email address. The system supports both individual email allowlisting and domain-based access.

File Upload and Processing

  1. Navigate to the "New Upload" section.
  2. Drag and drop a spreadsheet file (XLSX or CSV) or click to select a file.
  3. The file will be uploaded and processed automatically.
  4. You can view the status of processed files in the "Already Processed" section.

Admin Management

  1. Go to the "Admin Management" section.
  2. Here you can:
  3. Add individual admin emails
  4. Allow admin access by email domain
  5. Block or unblock admin users
  6. Delete admin users

Viewing Processed Files

  1. Navigate to the "Already Processed" section.
  2. Here you'll see a list of all processed files.
  3. You can download or delete processed files from this interface.

Customizing the Dashboard

To customize the dashboard for your specific needs:

  1. Modify the HTML templates in the templates folder to change the layout or add new sections.
  2. Update the routes.py file to add new functionality or modify existing routes.
  3. Extend the models.py file if you need to add new database tables or fields.

Integrating with External Services

This template is designed to be a standalone admin dashboard. However, if you need to integrate it with external services:

  1. You may need to modify the authentication mechanism in app_init.py to work with your existing user management system.
  2. The file processing functionality in file_processor.py can be extended to interact with external APIs or services as needed.

Remember, all deployment and execution are handled by the Lazy platform, so you don't need to worry about server setup or environment configuration.



Template Benefits

  1. Streamlined Data Processing: This template provides a user-friendly interface for uploading spreadsheets, processing them, and downloading the results. This can significantly reduce manual data handling and processing time for businesses.

  2. Enhanced Data Security: With secure login and access management features, the template ensures that only authorized personnel can access and manipulate sensitive data, protecting company information and maintaining compliance with data protection regulations.

  3. Improved Workflow Efficiency: By automating the spreadsheet processing workflow, this template can help businesses reduce errors, save time, and increase productivity across various departments that regularly work with data-heavy spreadsheets.

  4. Customizable Processing: The template includes a placeholder for custom data processing, allowing businesses to tailor the functionality to their specific needs, whether it's data analysis, report generation, or any other spreadsheet-based task.

  5. Scalable Admin Management: With features for adding, blocking, and managing admin users, this template provides a scalable solution for growing businesses to manage access and permissions as their team expands or changes over time.

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