Skip to main content

Lib to use Wikipedia to query TV series

Project description

Lib to use Wikipedia to query TV series

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 (25-05-2023)

  • First code creation

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

wikiseriesarjanlib-0.0.0.tar.gz (72.5 kB view details)

Uploaded Source

Built Distribution

wikiseriesarjanlib-0.0.0-py3.9.egg (39.0 kB view details)

Uploaded Source

File details

Details for the file wikiseriesarjanlib-0.0.0.tar.gz.

File metadata

  • Download URL: wikiseriesarjanlib-0.0.0.tar.gz
  • Upload date:
  • Size: 72.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for wikiseriesarjanlib-0.0.0.tar.gz
Algorithm Hash digest
SHA256 6a08f191fec18f3b547f3e376a5c27deba6b05b0a1b2e4e5407a1ff75ed1e3c6
MD5 06c2caf2f95b2cbb4b4777856813ed28
BLAKE2b-256 3594965167b45da0af051b86cc1522dafbdd64c7f3cb85187f792ce3b258577b

See more details on using hashes here.

File details

Details for the file wikiseriesarjanlib-0.0.0-py3.9.egg.

File metadata

  • Download URL: wikiseriesarjanlib-0.0.0-py3.9.egg
  • Upload date:
  • Size: 39.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.15

File hashes

Hashes for wikiseriesarjanlib-0.0.0-py3.9.egg
Algorithm Hash digest
SHA256 64bba1d9d7fc1e6d8f957f545e5b1dad505d8515a90fe779aca403f6e1c45f27
MD5 b44f0730ae433ae3a10b16e5c3e952b8
BLAKE2b-256 317598940f8eae295c3f749dd97dce97be208dc0ae3d2193c8154754520b0d24

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