Simplify SMS Messages with py-smsify Python Library

Are you looking for an efficient way to handle SMS messages in your Python applications? Look no further, as the py-smsify library offers a simple and effective solution. In this article, we’ll explore the key features of py-smsify, including the installation process, standalone functions, and usage examples. We’ll also delve into message statistics to help you understand how py-smsify simplifies SMS message encoding and management.

Installation

Before we begin, let’s go through the installation process. To install py-smsify, simply run the following command:

python
pip install py-smsify

Once installed, you’re ready to start leveraging the power of py-smsify in your projects.

Standalone Functions

py-smsify provides several standalone functions that simplify SMS message handling. Let’s take a closer look at two of them:

1. Encode Python String: SmsMessage.encode(string: str) -> str
   This function encodes a Python string into a GSM-7 compatible encoded string. It ensures that your message is properly formatted and compatible with GSM-7 encoding.

2. Encode Unicode String: SmsMessage.message_encode(string: str) -> bytearray
   This function encodes a Unicode string into a bytearray of SMS characters. It supports non-latin languages and characters, allowing you to send messages in multiple languages.

Usage Examples

To better understand how py-smsify works, let’s explore a few usage examples:

1. Encoding to a String of Valid Characters:
   “`python
   message = SmsMessage(“Cool Message!”).encoded_text

Result: Cool Message!

“`

1. Encoding to a Python Bytestring:
   “`python
   message = SmsMessage(“Cool Message!”).encoded_bytes

Result: b”Cool Message!”

“`

1. Encoding with Non-Latin Languages/Characters:
   “`python
   message = SmsMessage(“酷短信！”).encoded_text

Result: KuDuanXin!

“`

1. Encoding with Emojis:
   “`python
   message = SmsMessage(“Cool😎 Message✉️”).encoded_text

Result: Cool:sunglasses: Message:envelope:

“`

Message Statistics

py-smsify also provides useful functions to gather statistics about your SMS messages. Let’s explore two of them:

1. Message Length in Bytes: SmsMessage.length
   This function calculates the length of your message in bytes. It helps you ensure that your message fits within the constraints of SMS communication.

2. Segment Count: SmsMessage.segments
   This function determines the number of segments into which your message will be split. It takes into account Twilio message headers, providing accurate segment count calculations.

With these message statistics functions, you can ensure that your SMS messages are efficiently encoded and organized.

Conclusion

In this article, we have explored the key features of py-smsify and how it simplifies SMS message encoding and management. We covered the installation process, standalone functions for encoding strings, usage examples for different scenarios, and message statistics functions. By leveraging py-smsify, you can handle SMS messages effortlessly and ensure they are compatible with GSM-7 encoding.

If you have any questions or want to learn more about py-smsify, feel free to ask in the comments below.