I started reading more often on my Kindle. However, after finishing a book I decided I wanted to share some of the important snippets from the book to my blog. Fortunately, Kindle stores the highlighted text into a file called My Clippings
. Said file contains all the notes from all the books arranged by date of creation. This leads, of course, to having a document that lacks organization and one where you cannot just copy and paste ALL the text from one specific book.
Hence, I thought of a tool that could allow me to get the clips of the books I want to extract and copy and paste into the blog seamlessly. The process I did was as follows:
- What do I want to achieve?
- What do I need to achieve so?
- Can I do it with the current tools?
- How can I cover different scenarios?
- How can I make it more organized?
- What details am I missing?
- Reiterate
By doing so, I was able to come up with a functional code that managed to parse the original file, create a dictionary of titles and traverse line by line until it was able to store tuples with date and text as the value of the key title.
Here I share the final result of the code:
Topics to Understand
In order to be able to come up with this solution, it is paramount to understand the following programming structures:
-
Basic Python Syntax and Data Structures
To reach this solution, you need to understand the fundamentals of Python: how to declare variables, write loops and conditionals, and manage data in lists and dictionaries.
Python basics -
File Input/Output (I/O)
Being able to read from and write to files is crucial for loading highlight data and exporting results.
File I/O in Python -
String Manipulation and Methods
Processing lines of text, trimming whitespace, splitting into words, and replacing characters is essential for cleaning and filtering highlights.
String Methods -
Regular Expressions (re)
Identifying the format of highlight lines requires pattern matching, which can be done effectively with regular expressions.
re — Regular expression operations -
Functions
Structuring code into functions improves organization and makes the code more maintainable and reusable.
Defining Functions -
Modules and Imports
Leveraging Python’s standard library and organizing code across modules simplifies coding tasks and adds clarity.
The import system -
tkinter GUI Development
Building a graphical user interface allows users to interact with the application in a more intuitive way, selecting files, folders, and options.
tkinter — Python Interface to Tcl/Tk -
Error and Warning Dialogs (messagebox)
Providing user feedback through dialogs ensures that the user knows when prerequisites are not met, such as missing file selections.
tkinter.messagebox -
Path and Filename Handling (os.path)
Proper handling of file paths and sanitizing filenames ensures that output can be saved reliably on different operating systems.
os.path — Common pathname manipulations -
Packaging With PyInstaller (Optional)
Finally, turning the script into a standalone executable lets you distribute the tool without requiring users to have Python installed.
PyInstaller Documentation