Skip to main content

A library providing pre signed urls and valid sessions for some aws services that still do not present an api.

Project description

A library providing pre signed urls and valid sessions for some aws services that still do not present an api.

Development Workflow

The workflow supports the following steps

  • lint

  • test

  • build

  • document

  • upload

  • graph

These actions are supported out of the box by the corresponding scripts under _CI/scripts directory with sane defaults based on best practices. Sourcing setup_aliases.ps1 for windows powershell or setup_aliases.sh in bash on Mac or Linux will provide with handy aliases for the shell of all those commands prepended with an underscore.

The bootstrap script creates a .venv directory inside the project directory hosting the virtual environment. It uses pipenv for that. It is called by all other scripts before they do anything. So one could simple start by calling _lint and that would set up everything before it tried to actually lint the project

Once the code is ready to be delivered the _tag script should be called accepting one of three arguments, patch, minor, major following the semantic versioning scheme. So for the initial delivery one would call

$ _tag –minor

which would bump the version of the project to 0.1.0 tag it in git and do a push and also ask for the change and automagically update HISTORY.rst with the version and the change provided.

So the full workflow after git is initialized is:

  • repeat as necessary (of course it could be test - code - lint :) )

    • code

    • lint

    • test

  • commit and push

  • develop more through the code-lint-test cycle

  • tag (with the appropriate argument)

  • build

  • upload (if you want to host your package in pypi)

  • document (of course this could be run at any point)

Important Information

This template is based on pipenv. In order to be compatible with requirements.txt so the actual created package can be used by any part of the existing python ecosystem some hacks were needed. So when building a package out of this do not simple call

$ python setup.py sdist bdist_egg

as this will produce an unusable artifact with files missing. Instead use the provided build and upload scripts that create all the necessary files in the artifact.

Project Features

  • TODO

History

0.0.1 (18-05-2020)

  • First code creation

0.0.1 (24-07-2020)

  • First Release

0.0.2 (27-07-2020)

  • Better Exception Handling added

0.0.3 (16-10-2020)

  • Bumped dependencies

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

awsauthenticationlib-0.0.3.tar.gz (53.3 kB view details)

Uploaded Source

Built Distribution

awsauthenticationlib-0.0.3-py3.7.egg (36.9 kB view details)

Uploaded Source

File details

Details for the file awsauthenticationlib-0.0.3.tar.gz.

File metadata

  • Download URL: awsauthenticationlib-0.0.3.tar.gz
  • Upload date:
  • Size: 53.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for awsauthenticationlib-0.0.3.tar.gz
Algorithm Hash digest
SHA256 ebb33c8eb318778bbadeb9c1ee15ddd8cab777b52672a1f13aa20d5fb00f5b83
MD5 7299ef9481aca133aecb6def043f05be
BLAKE2b-256 9fc59dc2a940462bb1884398f360860300caaa1634558432af659dbee81e3ce2

See more details on using hashes here.

File details

Details for the file awsauthenticationlib-0.0.3-py3.7.egg.

File metadata

  • Download URL: awsauthenticationlib-0.0.3-py3.7.egg
  • Upload date:
  • Size: 36.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for awsauthenticationlib-0.0.3-py3.7.egg
Algorithm Hash digest
SHA256 8b4bc628f205ed7a5408b102f75a1ccd515c41851b09640a22b962d73a8c4f80
MD5 c44477c627d7bf13d6bae837790b12e7
BLAKE2b-256 febb3dc805a33d30c6a7e72703b1a98e5d764c89da9f9c8b26f9c777a3a8f3f9

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