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Make use of your Kindle highlights through a daily text to your mobile device
When parsing the text file, the program should transform the author key before storing it in a dict. Currently, author is stored as {lastname}, {firstname}
; the program should instead store the author as {firstname} {lastname}
. The logic for the regular expression can be found in the parse_txt_file.py
file.
Add capability: send a daily email to your inbox each day with the quote body, as an alternative to SMS. The user shall be able to configure whether the program will trigger an email or an SMS (or both) via boolean flags in the .env file.
Certain quotes have high overlap yet are not caught as duplicated by deduplicate_list. Make this method more robust.
Allow program to run in the cloud and off a user's local machine. This provides multiple benefits:
Here is an example of a Twilio web service deployed on Heroku: https://www.twilio.com/blog/word-of-the-day-sms-python-twilio
When parsing the text file, the deduplication method has a time complexity of O(n2) due to a nested for-loop. Recommend using a list or more efficient approach.
Add a feature that sends a image representation of the quote text send to the user. There shall be a feature flag in the .env file that allows the user to toggle this feature on or off.
Enhance observability of queued SMS messages using webhooks per Twilio documentation
Leverage more python built-in exceptions to improve error messaing
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