pyscaffold | 🛠 Python project template generator with batteries | Automation library

 by   pyscaffold Python Version: 4.5 License: Non-SPDX

kandi X-RAY | pyscaffold Summary

kandi X-RAY | pyscaffold Summary

pyscaffold is a Python library typically used in Automation applications. pyscaffold has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However pyscaffold has a Non-SPDX License. You can install using 'pip install pyscaffold' or download it from GitHub, PyPI.

🛠 Python project template generator with batteries included
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              pyscaffold has a medium active ecosystem.
              It has 1803 star(s) with 176 fork(s). There are 40 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 23 open issues and 260 have been closed. On average issues are closed in 25 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyscaffold is 4.5

            kandi-Quality Quality

              pyscaffold has 0 bugs and 0 code smells.

            kandi-Security Security

              pyscaffold has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              pyscaffold code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              pyscaffold has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              pyscaffold releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 6610 lines of code, 701 functions and 78 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyscaffold and discovered the below as its top functions. This is intended to give you an instant insight into pyscaffold implemented functionality, and help decide if they suit your requirements.
            • Adds default arguments to an argument parser .
            • Create a scaffold opts .
            • Check if a given pathname is valid .
            • Create a new project .
            • Apply a function to a struct .
            • Get a template from the given name .
            • Registers a new action .
            • Get default options .
            • Define a structure .
            • Logs an activity .
            Get all kandi verified functions for this library.

            pyscaffold Key Features

            No Key Features are available at this moment for pyscaffold.

            pyscaffold Examples and Code Snippets

            demo-dsproject,Project Organization
            Pythondot img1Lines of Code : 32dot img1License : Permissive (MIT)
            copy iconCopy
            ├── AUTHORS.md              <- List of developers and maintainers.
            ├── CHANGELOG.md            <- Changelog to keep track of new features and fixes.
            ├── LICENSE.txt             <- License as chosen on the command-line.
            ├── README.md           
            Why does this API request work in Postman but it raises an error in Django test?
            Pythondot img2Lines of Code : 22dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class AccountAPITestCase(TestCase):
            
                def setUp(self):
                    pass
            
                def test_create_account(self):
            
                    data = {
                        "email": "snifter@gmail.com",
                        "display_name": "outrageous canteloupe",
                        "passwo

            Community Discussions

            QUESTION

            The "version" entry in the metadata of setup.cfg is being ignored
            Asked 2021-Nov-06 at 14:48

            I wanted to write a new Python package that I want to make available via PyPI. In the past I always used setup.py. But this time I decided to embrace new best practices of using setup.cfg instead. So I started reading a little bit of the documentation, mainly https://setuptools.pypa.io/en/latest/userguide/declarative_config.html.

            I also decided to use pyscaffold for the generation of the files. pyscaffold generated a setup.cfg file for me and I added (just for testing purposes) version = 5.1.1 in under the metadata section, as described in the documentation above.

            For convenience I'm using anaconda and created a new empty environment:

            ...

            ANSWER

            Answered 2021-Nov-06 at 14:48

            That's because pyscaffold generated a project that uses setuptools-scm for version detection. When setuptools-scm is used, the version is not read from version metadata, but parsed from the repository tags. The version 0.0.post1.dev10+g3ed39c8.d20211106 can be read as follows:

            • 0.0.post1 - dummy version since you don't have any tags in repo yet;
            • dev10 - you have ten commits that are not included in any version tag (basically the amount of commits you made since tagging last);
            • g3ed39c8 - the short hash of commit you have installed from is 3ed39c8 (prefix g means it is a Git repo);
            • d20211106 - d means you have installed from a dirty state (some files versioned by Git were modified), the rest is just the timestamp.

            If you want to use the version metadata from setup.cfg instead, just drop setuptools-scm activation in setup.py:

            Source https://stackoverflow.com/questions/69860987

            QUESTION

            Is there a reason to have both tox.ini and setup.cfg in a python project?
            Asked 2021-Apr-15 at 06:27

            I have just scaffolded a python project using PyScaffold. One thing that has caught my attention was the fact that the scaffolding generated both setup.cfg and tox.ini files. If my understanding is correct, if I were to use tox using the tox command, it would just look at the tox.ini file and ignore setup.cfg and setup.py altogether.

            With this being the case, here is my question: is there a reason to keep both of them in the project, or would just using tox.ini or setup.cfg be enough? And if I have to keep both of them in my project, is there an easy way so both of them use the same configurations (e.g. configurations for running flake8 for linting) without me having to type those configurations in both setup.cfg and tox.ini?

            ...

            ANSWER

            Answered 2021-Apr-15 at 06:27

            Let's go through this step by step.

            PyScaffold is a tool which tries to ease the setup of a new Python project.

            What even is a Python project?

            At the very heart a single executable Python file is enough.

            If you want to make the project being installable, you need configuration file for the build system.

            While a lot has changed over time, still setup.py is the most prominent one. At some point in time it was figured out, that it may be not such a great idea that the build configuration file could execute arbitrary code, so setup.cfg was invented, where you can define e.g. the projects name and dependencies in a ini-style format. Meanwhile, another format was invented, the pyproject.toml file.

            So basically, to build your project you need one of those:

            • setup.py
            • setup.py and setup.cfg (the former only calls the latter)
            • pyproject.toml

            Usually you want to write tests for your project. You could use the builtin unittest testrunner to run your tests, or nowadays many projects use pytest. pytest can be configured with a pytest.ini.

            Tests usually need some dependencies, e.g. pytest itself and maybe some other test helpers. They need to be installed at some time.

            And here comes tox into play. Amongst many other features, like e.g. running your tests against different Python versions, tox can both install your project and your test requirements and execute the tests. tox usually comes with a tox.ini file.

            Oh, and what about linting? You want to have easy to read code and follow the Python guidelines (e.g. PEP 8), so you usually use a tool like flake8 - which also comes with its own configuration file, namely .flake8.

            Ok, now we have many tools and many configuration files, but that's not all. As not everybody likes so many configuration files, some of the tools support to be configured with other tools's configuration file.

            e.g. you can configure flake8 both in a setup.cfg and a tox.ini, see https://flake8.pycqa.org/en/latest/user/configuration.html

            You can also configure tox via setup.cfg or pyproject.toml, see https://tox.readthedocs.io/en/latest/config.html#configuration-discovery

            And one important thing to know: You only need to configure your tool once, not in all those files.

            So, technically, you do not need all those files, and it is up to you what you think is an easy to read and easy to manage setup for your project.

            At a past Python Ireland meetup I gave a 5 minute lightning talk about how this is all confusing and what solution I came up with:

            https://youtu.be/8iqhNbDHC-c

            Source https://stackoverflow.com/questions/67098213

            QUESTION

            Getting a package version when the name has a hyphen in it
            Asked 2021-Jan-12 at 17:00

            I used PyScaffold to create a template for a PyPi package I am creating, bbox-utils. The generated __init__.py is as follows:

            ...

            ANSWER

            Answered 2021-Jan-12 at 17:00

            You generally should not name your packages or modules using dashes although you can. Since the import statement does not use quotes, using a dash is interpreted as using a minus sign, which will result in an illegal syntax during import if using the dash name.

            There are ways around this, such as importing with underscores but installing via pip/searching pypi with dashes, but it is a needless inconsistency that can cause frustration. Generally the python approach is to be able to import modules as valid module objects whose variable name equals the actual module name. When naming projects, it is therefore better to use underscores instead of dashes.

            That being said, pkg_resources seems to actually replace all non-alphanumeric and non-dot characters with dashes when resolving project names.

            Source https://stackoverflow.com/questions/65678113

            QUESTION

            How to get rid of third-party library warnings while running unit tests?
            Asked 2020-Mar-25 at 17:10

            I setup my project using PyScaffold and while running unit tests using pytest I get the following third party warning that I'd like to get rid of but don't know how:

            ...

            ANSWER

            Answered 2020-Mar-25 at 17:10

            There are multiple ways to suppress warnings:

            • using command-line arguments

            To hide the warning completely use

            Source https://stackoverflow.com/questions/60853213

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pyscaffold

            You can install using 'pip install pyscaffold' or download it from GitHub, PyPI.
            You can use pyscaffold like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install PyScaffold

          • CLONE
          • HTTPS

            https://github.com/pyscaffold/pyscaffold.git

          • CLI

            gh repo clone pyscaffold/pyscaffold

          • sshUrl

            git@github.com:pyscaffold/pyscaffold.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link