Skip to main content

Python package for generating prefixed ksuids.

Project description

Python-PKSUID

(Prefixed K-Sortable Unique IDentifier)

This library provides an enhancement to the KSUID identifier first proposed and used by Segment.io, whose reference implementation exists here:

https://github.com/segmentio/ksuid

This library extends the KSUID specification as the PKSUID specification with a prefix, inspired by the Stripe prefixed IDs, such as txn_1032HU2eZvKYlo2CEPtcnUvl.

This in turn makes it easy for developers to see at a glance the underlying type of the resource that the identifier refers to, and makes for easier reading/tracing of resources in various locations, such as log files.

Usage

This package is tested working with Python 3.6+

An example of how to use this library is as follows:

from pksuid import PKSUID

# generate a new unique identifier with the prefix usr
uid = PKSUID('usr')

# returns 'usr_24OnhzwMpa4sh0NQmTmICTYuFaD'
print(uid)

# returns: usr
print(uid.get_prefix())

# returns: 1643510623
print(uid.get_timestamp())

# returns: 2022-01-30 02:43:43
print(uid.get_datetime())

# returns: b'\x81>*\xccDJT\xf1\xbe\xa9\xf3&\xe8\xa5\xb2\xc1'
print(uid.get_payload())

# convert from a str representation back to PKSUID
uid_from_string = PKSUID.parse('usr_24OnhzwMpa4sh0NQmTmICTYuFaD')

# this can now be used as usual
# returns: 1643510623
print(uid_from_string.get_timestamp())

# conversion to and parsing from bytes is also possible
uid_as_bytes = uid.bytes()
uid_from_bytes = PKSUID.parse_bytes(uid_as_bytes)

# returns: 2022-01-30 02:43:43
print(uid_from_bytes.get_datetime())

Testing

Run the unit tests with poetry run pytest.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pksuid-1.0.0.tar.gz (3.6 kB view hashes)

Uploaded Source

Built Distribution

pksuid-1.0.0-py3-none-any.whl (3.5 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page