I am struggling to find information about how / where to fill a summary for a PyPI package that can be seen next to the package name when typing pip search <my_package>.
We run a private PyPI server with the pypiserver library and would like all our packages to have this short description, similarly to any package on pypi.org.
In my package's setup.py I filled description and long_description but it still doesn't show us any summary when using pip search.
When I do pip install <my_package> and look inside the downloaded egg, I see the PKG_INFO file with summary field filled appropriately.
I have discovered, there is no summary provided.
In pypiserver/_app.py:218 written:
# We do not presently have any description/summary, returning
# version instead
Related
In my local pypi server let's say I have 3 versions of the package example like below:
example==20200903
example==20200904
example==202009089 # I need to exclude this
example==20200909
As you can see I have used date to manage our versioning, but in the middle of the versioning we have a package that has a version like 202009089 so it always match as it has a bigger number and the versioning gets broken. Is there a way to exclude that specific version when installing via pip install and install the latest version except 202009089?
One approach would be to number future versions using a new epoch (PEP440)
For example
version='1!20200910
another option is to delete the offending package from your internal pypi
another option is to select example!=202009089 (the bad version) or pin using example==... (some good version)
You can:
pip install "example<202000000"
It will pick the last version before the erroneous one: 202009089.
Related answer: https://stackoverflow.com/a/8811418/4709400
I have a project where I manage the version through git tags.
Then, I use setuptools_scm to get this information in my setup.py and also generates a file (_version.py) that gets included when generating the wheel for pip.
This file is not tracked by git since:
it has the same information that can be gathered by git
it would create a circular situation where building the wheel will modify the version which changes the sources and a new version will be generated
Now, when I build the documentation, it becomes natural to fetch this version from _version.py and this all works well locally.
However, when I try to do this within ReadTheDocs, the building of the documentation fails because _version.py is not tracked by git, so ReadTheDocs does not find it when fetching the sources from the repository.
EDIT: I have tried to use the method proposed in the duplicate, which is the same as what setuptools_scm indicate in the documentation, i.e. using in docs/conf.py:
from pkg_resources import get_distribution
__version__ = get_distribution('numeral').version
... # I use __version__ to define Sphinx variables
but I get:
pkg_resources.DistributionNotFound: The 'numeral' distribution was not found and is required by the application
(Again, building the documentation locally works correctly.)
How could I solve this issue without resorting to maintaining the version number in two places?
Eventually the issue was that ReadTheDocs did not have the option to build my package active by default and I was expecting this to happen.
All I had to do was to enable "Install Project" in the Advanced Settings / Default Settings.
Some packages are imported with a string which is different from the name of the package on PyPI, e.g.:
$ pip list | grep -i "yaml\|qt"
PyYAML 3.13
QtPy 1.5.2
pyyaml (pip instal pyyaml), but import yaml
qtpy (pip install qtpy), yes import is qtpy but package is QtPy
Several tools can't not handle that, e.g sphinx:
$ make html
WARNING: autodoc: failed to import module 'wireshark' from module 'logcollector.plugins'; the following exception was raised:
No module named 'qtpy'
I don't remember it right now, but same is for tools which scan the requirements.txt file and print warnings that the yaml package isn't installed (but it is and its name is pyyaml).
There are multiple reasons why authors choose to use different names in different environments:
Drop-in replacements: Sometimes it is helpful when you can install a fork and keep the rest of your code the same. I guess the most famous example is pyyaml / yaml. I did it when I created propy3 which can be used as a drop-in replacement for propy. I would say that this is also what happened with pillow.
Convenience: beautifulsoup4 can be imported as bs4 (+ package parking for bs4)
Lost credentials: I don't know of an example where the import name was changed as well, but I think for flask-restx the package name and the import name were changed.
A word of caution
As Ziyad Edher has pointed out in a related discussion, typosquatting is an issue on PyPI (source). If you add packages with different names, this gets more likely.
Other examples
Name in the docs vs "import" package name vs pypi package name vs anaconda packages vs Debian:
scikit-learn vs sklearn vs scikit-learn vs scikit-learn vs python-sklearn and python3-sklearn
OpenCV-Pyton vs cv2 vs opencv-python vs py-opencv vs python-opencv
PyTables vs tables vs tables vs pytables vs python-tables
Because these two concepts are not really related.
One is a python concept of package/module names, the other one a package manager concept.
Look at a simple packaging command with zip:
zip -r MyCoolTool.zip tool.py
The Tool is named tool, which probably is not unique and if you do not know that its MyCoolTool you do not know which tool it is. When I upload it somewhere I name it MyCoolTool, so you now a more unique name, that may be a bit more descriptive.
The other point is, that a pip package may include more modules than just one. PyYAML could for example include a second python module yaml2xml in addtion to yaml.
Finally there can be several implementations. PyYAML sounds like a pure python implementation. Now assume you need a really fast parser, then you may program CYAML with a C-backend, but the same interface at the name yaml.
In case of sphinx you can mock 3rd party packages with: autodoc_mock_imports
When I use pip to install a package from source, it will generates a version number for the package which I can see using 'pip show '. But I can't find out how that version number is generated and I can't find the version string from the source code. Can someone tell me how the version is generated?
The version number that pip uses comes from the setup.py (if you pip install a file, directory, repo, etc.) and/or the information in the PyPI index (if you pip install a package name). (Since these two must be identical, it doesn't really matter which.)
It's recommended that packages make the same string available as a __version__ attribute on their top-level module/package(s) at runtime that they put in their setup, but that isn't required, and not every package does.
And if the package doesn't expose its version, there's really no way for you to get it. (Well, unless you want to grub through the pip data trying to figure out which package owns a module and then get its version.)
Here's an example:
In the source code for bs4 (BeautifulSoup4), the setup.py file has this line:
version = "4.3.2",
That's the version that's used, directly or indirectly, by pip.
Then, inside bs4/__init__.py, there's this line:
__version__ = "4.3.2"
That means that Leonard Richardson is a nice guy who follows the recommendations, so I can import bs4; print(bs4.__version__) and get back the same version string that pip show beautifulsoup4 gives me.
But, as you can see, they're two completely different strings in completely different files. If he wasn't nice, they could be totally different, or the second one could be missing, or named something different.
The OpenStack people came up with a nifty library named PBR that helps you manage version numbers. You can read the linked doc page for the full details, but the basic idea is that it either generates the whole version number for you out of git, or verifies your specified version number (in the metadata section of setup.cfg) and appends the dev build number out of git. (This relies on you using Semantic Versioning in your git repo.)
Instead of specifying the version number in code, tools such as setuptools-scm may use tags from version control. Sometimes the magic is not directly visible. For example PyScaffold uses it, but in the project's root folder's __init__.py one may just see:
import pkg_resources
try:
__version__ = pkg_resources.get_distribution(__name__).version
except:
__version__ = "unknown"
If, for example, the highest version tag in Git is 6.10.0, then pip install -e . will generate a local version number such as 6.10.0.post0.dev23+ngc376c3c (c376c3c being the short hash of the last commit) or 6.10.0.post0.dev23+ngc376c3c.dirty (if it has uncommitted changes).
For more complicated strings such as 4.0.0rc1, they are usually hand edited in the PKG-INFO file. Such as:
# cat ./<package-name>.egg-info/PKG-INFO
...
Version: 4.0.0rc1
...
This make it unfeasible to obtain it from within any python code.
I recently uploaded a package to PyPI under a name with mixed-case letters, QualysAPI.
In retrospect I think it'd be better to have the package name be all lowercase per PEP 8. Is there a way I can change it?
Here's what happens when I try manually edit the package name on Pypi:
Forbidden
Package name conflicts with existing package 'QualysAPI'
Here's what happens when I try to edit the package name via python setup.py sdist upload:
Upload failed (403): You are not allowed to edit 'qualysapi' package information
Deleted package. Reupload package with all lowercase. Lost all history of package but doesn't matter since Github has revisions online.