Invoice Tracking Tool ( Python )

This Invoice Tracking tool is a small webproject to help with invoices for small freelancing Jobs. This is by far not perfect but it works for my general needs. I will use this Tool to improve some of my prgramming skills regarding Webdesign / Github / Docker / Flask. Therefore the Project will probably change a lot based on my current interests and time to work on it. Feedback of any kind id is highly welcomed!

If this tool proves usefull for any of you, I would be thankfull for a small comment!

This Project shall fulfill the following purpose:

• Learning how to use Github
• Create a Tool based on Python to manage / track invoices
  • Create Customers
  • Database Interaction
  • Create Invoice
  • Print / Store Invoice
  • DB Revisioning

Current Functionality :

Requirements

Python 3.10

Bootstrap V4.6 is beeing used for the bottle templates https://github.com/twbs/bootstrap/tree/v4.6.0

Convert HTML to PDF: https://github.com/wkhtmltopdf/wkhtmltopdf

Requirements for deployment

Requirements for development

Ability of the Database / Weberver

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DB Functionality

• DB Revisioning available with alembic
• Export the DB in CSV Format

Create a Python Script with basic functionality

• Create / Edit Invoice

• Create / Edit Customer

• Create / Edit Agency

• Create / Edit Job Type

• Create / Edit Personal Data

• Create / Edit Payment Data

• Create / Edit Users

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• Get an overview of the Monthly / Yearly Income
• Track unpaied invoices
• Generate PDF Invoices
• Export Data to CSV

Store The Information

The Invoice Information is stored in a local sqllite database. The functionality can be extended to store the date in a remote DB

Create a GUI for Interaction

Interaction with the Tool is currently based on a Python Flask Webserver.

• Create a GUI
• Create a Webinterface

Create Invoices

In order to visualize the Invoice Data, a HTML template has been added.

• Create a Invoice Template in HTML
• Allow the selection of different Invoice Templates

Deployment

To deploy the server we can take advantage of several options. Here you find a selection of currently supported ways to deploy the Server.

Available Options:

• Docker Container
• Python enviroment

How to Use

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