phone number validation and formatting utility - #1185
Open
prithviraj-1657 wants to merge 1 commit into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
This pull request introduces a crucial new utility function, validate_and_format_phone(), aimed at standardizing and cleaning up phone numbers. The goal is to get messy, user-provided phone numbers into a single, reliable format: the E.164 international standard (e.g., +15551234567).
Why this is a big deal:
Think about how often you see phone numbers entered in different ways—with dashes, parentheses, or just local digits. In any application that sends SMS messages, uses APIs, or stores contact information, these inconsistent formats are a recipe for bugs. This tool is designed to be the first line of defense against that problem, making sure all phone numbers are clean and consistent before they're used or stored in a database.
What the code does:
The function uses a few simple steps to get the job done:
It strips out all non-digit characters, but smartly keeps a leading + if it exists.
It handles cases where a country code is missing by automatically prepending a configurable default (like +1 for the US and Canada).
It includes a basic sanity check to ensure the final number has a realistic length, filtering out clearly invalid entries.
In short, it's a small but mighty piece of code that solves a very common, frustrating problem for developers.