Skip to main content

('Self-contained library to deal with metadata in Enthought-specific eggs',)

Project description

https://travis-ci.com/enthought/okonomiyaki.svg?branch=master

Okonomiyaki is an experimental library aimed at consolidating a lot of our low-level code used for Enthought’s eggs.

The library contains code for the following:

  • producing EDM and enpkg-compatible egg from a tree + metadata

  • object models for eggs metadata, as well as versions and platform representations

It works on both python 2 and 3, and pypy. It is expected to work on pretty much any compliant python implementation.

Examples

Version parsing

To parse versions:

from okonomiyaki.versions import EnpkgVersion
# Every Version class has a from_string constructor
v1 = EnpkgVersion.from_string("1.3.3-1")
v2 = EnpkgVersion.from_string("1.3.2-3")

assert v1 > v2

Version instances are designed to be immutable, and to be used as keys in dictionaries.

Platform parsing

To parse epd platform strings (rh5-64, rh6_x86_64, etc.) consistently:

from okonomiyaki.platforms import EPDPlatform
# Internal representation is normalized.
rh5_new_name = EPDPlatform.from_string("rh5-x86_64")
rh5_old_name = EPDPlatform.from_string("rh5-64")

assert rh5_old_name == rh5_new_name

As for Version instances, EPDPlatform instances are designed to be immutable and to be used as keys in dictionaries.

Egg metadata

To parse Enthought eggs:

from okonomiyaki.file_formats import EggMetadata

# Only works for Enthought eggs
metadata = EggMetadata.from_egg("numpy-1.10.1-1.egg")
print(metadata.metadata_version)
print(metadata.name)
print(metadata.version)

This will take care of a lot of low-level, legacy details you don’t want to know about.

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

okonomiyaki-1.3.0.tar.gz (2.8 MB view details)

Uploaded Source

Built Distribution

okonomiyaki-1.3.0-py3-none-any.whl (2.8 MB view details)

Uploaded Python 3

File details

Details for the file okonomiyaki-1.3.0.tar.gz.

File metadata

  • Download URL: okonomiyaki-1.3.0.tar.gz
  • Upload date:
  • Size: 2.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.12

File hashes

Hashes for okonomiyaki-1.3.0.tar.gz
Algorithm Hash digest
SHA256 b6fa4fec7750a160c400f1da92397c43fed0765d161f16a74ef7daafd0e951d1
MD5 89353238649181d9cc9b7519bf0bb930
BLAKE2b-256 a58dfd6961c83b84c125f6b6ad0d8bca21cdae9f8872d62d9eb3ab1a58344a50

See more details on using hashes here.

File details

Details for the file okonomiyaki-1.3.0-py3-none-any.whl.

File metadata

  • Download URL: okonomiyaki-1.3.0-py3-none-any.whl
  • Upload date:
  • Size: 2.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.21.0 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.12

File hashes

Hashes for okonomiyaki-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a2ae3b89a850e43eb95523d0561c46c72fa49452bc7021c551b1054a0bb81cfd
MD5 ea1428f4ac934aa1789a8a8841048054
BLAKE2b-256 b189353483e23dbdd3d47be6c6273163afc517b0dbb5f01be5792769d4764e76

See more details on using hashes here.

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