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tracking-numbers
A library that parses tracking numbers and provides common types.
The data is sourced from tracking_number_data
and the definitions are code-generated.
Why?
The typical shipping tracking number has a lot of data encoded within.
While some couriers share similar logic (serial number, check digit, etc), others have entirely different ways of representing tracking numbers.
Instead of hand-rolling parsing code for all of these cases, the author of tracking_number_data
has put together a repo that serves as a language-agnostic source of knowledge for various couriers and their shipping products.
This library uses that data to code-generate definitions to create python bindings for parsing tracking numbers.
The library itself has no external dependencies, and can be used to decode basic tracking data without the need of an API or external data source at runtime.
Installation
Install the tracking-numbers library using pypi
pip install tracking-numbers
Usage
Here are the main public functions to use:
get_tracking_number(number)
Parses the number
and returns the TrackingNumber
dataclass, if detected, or none otherwise.
from tracking_numbers import get_tracking_number
tracking_number = get_tracking_number("1ZY0X1930320121606")
get_definition(product_name)
Given a product name, gets the TrackingNumberDefinition
associated.
You can call definition.test(number)
to parse a number for that specific product.
from tracking_numbers import get_definition
ups_definition = get_definition('UPS')
tracking_number = ups_definition.test("1ZY0X1930320121606")
tracking_number = ups_definition.test('some_valid_fedex_number')
Testing
We use the test cases defined in the courier data to generate pytest test cases.
In this way, we can be confident that the logic for parsing tracking numbers is working properly.