Upload a wheel to private PyPi using curl - python

I have a wheel built on MS Windows running in a very restricted environment, (cannot connect to internet). I can copy it to my machine running Linux. Then, I'd like to upload it to private PyPi.
I don't want to use twine. I had too much bad experience with Python infrastructure tools, so would like to avoid them as much as possible, but if this is not reason enough for you, think about it as "learning experience": I just really want to know what API do I need to use in order to put a file on PyPi server.
To spare you some more effort: https://pypiserver.readthedocs.io/en/latest/ I also read this, and there's no useful info here as well.
The only thing I could find in terms of documentation is this: https://www.python.org/dev/peps/pep-0503/ which is useless for my case.
This is the closest I've gotten so far: https://github.com/python/cpython/blob/master/Lib/distutils/command/upload.py#L92 though it still leaves a lot to be desired, as in: what fields are actually necessary and the restrictions on the contents of the fields.

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Make Python Scripts Tamper-proof

I am executing python scripts using python embedding (python.net in C#), I need to make sure these python scripts aren't going to be tampered with. These python scripts can be in a .pyc (compiled) format.
Is there a way to make these scripts tamper-proof? .pyc files can be easily decompiled, tampered with and recompiled. I looked at signet but I believe it requires the python files to be frozen into an executable.
Any help will be welcome.
What you need is signing these scripts. Signing a file means producing a signature from a private key and that file, the idea being that it's impossible to produce that same signature without the private key. Then, you also have a public key (that can be made public), whose only purpose is to verify that the signature matches the file. IIRC, this is the same mechanism that Windows uses to trust software (ie. there are software developers who are trusted by Windows, and when a software has a signature issued by a trusted source, which Windows can verify, then it is considered as trusted software, I think).
This is quite a common cryptographic pattern, so I think there are many tools that implement it, but one that is particularly good is GPG. It's free and open-source, it has bindings in many languages, it is very well documented, and handles everything, from the creation of your key pair to the signing, and much more. This also mean that using GPG is a little bit complex, but I found this post where someone wanted to verify a file they download in C# using GPG, so maybe it's going to be helpful.
Also, notice that in that in the other post they also use a hash check to ensure that the script was not corrupted during download (ie. there was a download error). You could verify that with the signature, but then you would be unable to tell if the error comes from someone deliberately attempting to tamper with your code, or if you just need to re-download the script.

Lazily download/install python submodules

Would it be possible to create a python module that lazily downloads and installs submodules as needed? I've worked with "subclassed" modules that mimic real modules, but I've never tried to do so with downloads involved. Is there a guaranteed directory that I can download source code and data to, that the module would then be able to use on subsequent runs?
To make this more concrete, here is the ideal behavior:
User runs pip install magic_module and the lightweight magic_module is installed to their system.
User runs the code import magic_module.alpha
The code goes to a predetermine URL, is told that there is an "alpha" subpackage, and is then given the URLs of alpha.py and alpha.csv files.
The system downloads these files to somewhere that it knows about, and then loads the alpha module.
On subsequent runs, the user is able to take advantage of the downloaded files to skip the server trip.
At some point down the road, the user could run a import magic_module.alpha ; alpha._upgrade() function from the command line to clear the cache and get the latest version.
Is this possible? Is this reasonable? What kinds of problems will I run into with permissions?
Doable, certainly. The core feature will probably be import hooks. The relevant module would be importlib in python 3.
Extending the import mechanism is needed when you want to load modules that are stored in a non-standard way. Examples include [...] modules that are loaded from a database over a network.
Convenient, probably not. The import machinery is one of the parts of python that has seen several changes over releases. It's undergoing a full refactoring right now, with most of the existing things being deprecated.
Reasonable, well it's up to you. Here are some caveats I can think of:
Tricky to get right, especially if you have to support several python versions.
What about error handling? Should application be prepared for import to fail in normal circumstances? Should they degrade gracefully? Or just crash and spew a traceback?
Security? Basically you're downloading code from someplace, how do you ensure the connection is not being hijacked?
How about versionning? If you update some of the remote modules, how can make the application download the correct version?
Dependencies? Pushing of security updates? Permissions management?
Summing it up, you'll have to solve most of the issues of a package manager, along with securing downloads and permissions issues of course. All those issues are tricky to begin with, easy to get wrong with dire consequences.
So with all that in mind, it really comes down to how much resources you deem worth investing into that, and what value that adds over a regular use of readily available tools such as pip.
(the permission question cannot really be answered until you come up with a design for your package manager)

PyPi download counts seem unrealistic

I put a package on PyPi for the first time ~2 months ago, and have made some version updates since then. I noticed this week the download count recording, and was surprised to see it had been downloaded hundreds of times. Over the next few days, I was more surprised to see the download count increasing by sometimes hundreds per day, even though this is a niche statistical test toolbox. In particular, older versions of package are continuing to be downloaded, sometimes at higher rates than the newest version.
What is going on here?
Is there a bug in PyPi's downloaded counting, or is there an abundance of crawlers grabbing open source code (as mine is)?
This is kind of an old question at this point, but I noticed the same thing about a package I have on PyPI and investigated further. It turns out PyPI keeps reasonably detailed download statistics, including (apparently slightly anonymised) user agents. From that, it was apparent that most people downloading my package were things like "z3c.pypimirror/1.0.15.1" and "pep381client/1.5". (PEP 381 describes a mirroring infrastructure for PyPI.)
I wrote a quick script to tally everything up, first including all of them and then leaving out the most obvious bots, and it turns out that literally 99% of the download activity for my package was caused by mirrorbots: 14,335 downloads total, compared to only 146 downloads with the bots filtered. And that's just leaving out the very obvious ones, so it's probably still an overestimate.
It looks like the main reason PyPI needs mirrors is because it has them.
Starting with Cairnarvon's summarizing statement:
"It looks like the main reason PyPI needs mirrors is because it has them."
I would slightly modify this:
It might be more the way PyPI actually works and thus has to be mirrored, that might contribute an additional bit (or two :-) to the real traffic.
At the moment I think you MUST interact with the main index to know what to update in your repository. State is not simply accesible through timestamps on some publicly accessible folder hierarchy. So, the bad thing is, rsync is out of the equation. The good thing is, you MAY talk to the index through JSON, OAuth, XML-RPC or HTTP interfaces.
For XML-RPC:
$> python
>>> import xmlrpclib
>>> import pprint
>>> client = xmlrpclib.ServerProxy('http://pypi.python.org/pypi')
>>> client.package_releases('PartitionSets')
['0.1.1']
For JSON eg.:
$> curl https://pypi.python.org/pypi/PartitionSets/0.1.1/json
If there are approx. 30.000 packages hosted [1] with some being downloaded 50.000 to 300.000 times a week [2] (like distribute, pip, requests, paramiko, lxml, boto, paramike, redis and others) you really need mirrors at least from an accessibilty perspective. Just imagine what a user does when pip install NeedThisPackage fails: Wait? Also company wide PyPI mirrors are quite common acting as proxies for otherwise unrouteable networks. Finally not to forget the wonderful multi version checking enabled through virtualenv and friends. These all are IMO legitimate and potentially wonderful uses of packages ...
In the end, you never know what an agent really does with a downloaded package: Have N users really use it or just overwrite it next time ... and after all, IMHO package authors should care more for number and nature of uses, than the pure number of potential users ;-)
Refs: The guestimated numbers are from https://pypi.python.org/pypi (29303 packages) and http://pypi-ranking.info/week (for the weekly numbers, requested 2013-03-23).
You also have to take into account that virtualenv is getting more popular. If your package is something like a core library that people use in many of their projects, they will usually download it multiple times.
Consider a single user has 5 projects where he uses your package and each lives in its own virtualenv. Using pip to meet the requirements, your package is already downloaded 5 times this way. Then these projects might be set up on different machines, like work, home and laptop computers, in addition there might be a staging and a live server in case of a web application. Summing this up, you end up with many downloads by a single person.
Just a thought... perhaps your package is simply good. ;)
Hypothesis: CI tools like Travis CI and Appveyor also contribute quite a bit. It might mean that each commit/push leads to a build of a package and the installation of everything in requirements.txt

Script to install and compile Python, Django, Virtualenv, Mercurial, Git, LessCSS, etc... on Dreamhost

The Story
After cleaning up my Dreamhost shared server's home folder from all the cruft accumulated over time, I decided to start afresh and compile/reinstall Python.
All tutorials and snippets I found seemed overly simplistic, assuming (or ignoring) a bunch of dependencies needed by Python to compile all modules correctly. So, starting from http://andrew.io/weblog/2010/02/installing-python-2-6-virtualenv-and-virtualenvwrapper-on-dreamhost/ (so far the best guide I found), I decided to write a set-and-forget Bash script to automate this painful process, including along the way a bunch of other things I am planning to use.
The Script
I am hosting the script on http://bitbucket.org/tmslnz/python-dreamhost-batch/src/
The TODOs
So far it runs fine, and does all it needs to do in about 900 seconds, giving me at the end of the process a fully functional Python / Mercurial / etc... setup without even needing to log out and back in.
I though this might be of use for others too, but there are a few things that I think it's missing and I am not quite sure how to go for it, what's the best way to do it, or if this just doesn't make any sense at all.
Check for errors and break
Check for minor version bumps of the packages and give warnings
Check for known dependencies
Use arguments to install only some of the packages instead of commenting out lines
Organise the code in a manner that's easy to update
Optionally make the installers and compiling silent, with error logging to file
failproof .bashrc modification to prevent breaking ssh logins and having to log back via FTP to fix it
EDIT: The implied question is: can anyone, more bashful than me, offer general advice on the worthiness of the above points or highlight any problems they see with this approach? (see my answer to Ry4an's comment below)
The Gist
I am no UNIX or Bash or compiler expert, and this has been built iteratively, by trial and error. It is somehow going towards apt-get (well, 1% of it...), but since Dreamhost and others obviously cannot give root access on shared servers, this looks to me like a potentially very useful workaround; particularly so with some community work involved.
One way to streamline this would be to make it work with one of: capistrano/fabric, puppet/chef, jhbuild, or buildout+minitage (and a lot of cmmi tasks). There are some opportunities for factoring in common code, especially with something more high-level than bash. You will run into bootstrapping issues, however, so maybe leave good enough alone.
If you want to look into userland package managers, there is autopackage (bootstraps well), nix (quickstart), and stow (simple but helps with isolation).
Honestly, I would just build packages with a name prefix for all of the pieces and have them install under /opt so that they're out of the way. That way it only takes the download time and a bit of install time to do.

How might I handle development versions of Python packages without relying on SCM?

One issue that comes up during Pinax development is dealing with development versions of external apps. I am trying to come up with a solution that doesn't involve bringing in the version control systems. Reason being I'd rather not have to install all the possible version control systems on my system (or force that upon contributors) and deal the problems that might arise during environment creation.
Take this situation (knowing how Pinax works will be beneficial to understanding):
We are beginning development on a new version of Pinax. The previous version has a pip requirements file with explicit versions set. A bug comes in for an external app that we'd like to get resolved. To get that bug fix in Pinax the current process is to simply make a minor release of the app assuming we have control of the app. Apps we don't have control we just deal with the release cycle of the app author or force them to make releases ;-) I am not too fond of constantly making minor releases for bug fixes as in some cases I'd like to be working on new features for apps as well. Of course branching the older version is what we do and then do backports as we need.
I'd love to hear some thoughts on this.
Could you handle this using the "==dev" version specifier? If the distribution's page on PyPI includes a link to a .tgz of the current dev version (such as both github and bitbucket provide automatically) and you append "#egg=project_name-dev" to the link, both easy_install and pip will use that .tgz if ==dev is requested.
This doesn't allow you to pin to anything more specific than "most recent tip/head", but in a lot of cases that might be good enough?
I meant to mention that the solution I had considered before asking was to put up a Pinax PyPI and make development releases on it. We could put up an instance of chishop. We are already using pip's --find-links to point at pypi.pinaxproject.com for packages we've had to release ourselves.
Most open source distributors (the Debians, Ubuntu's, MacPorts, et al) use some sort of patch management mechanism. So something like: import the base source code for each package as released, as a tar ball, or as a SCM snapshot. Then manage any necessary modifications on top of it using a patch manager, like quilt or Mercurial's Queues. Then bundle up each external package with any applied patches in a consistent format. Or have URLs to the base packages and URLs to the individual patches and have them applied during installation. That's essentially what MacPorts does.
EDIT: To take it one step further, you could then version control the set of patches across all of the external packages and make that available as a unit. That's quite easy to do with Mercurial Queues. Then you've simplified the problem to just publishing one set of patches using one SCM system, with the patches applied locally as above or available for developers to pull and apply to their copies of the base release packages.
EDIT: I am not sure I am reading your question correctly so the following may not answer your question directly.
Something I've considered, but haven't tested, is using pip's freeze bundle feature. Perhaps using that and distributing the bundle with Pinax would work? My only concern would be how different OS's are handled. For example, I've never used pip on Windows, so I wouldn't know how a bundle would interact there.
The full idea I hope to try is creating a paver script that controls management of the bundles, making it easy for users to upgrade to newer versions. This would require a bit of scaffolding though.
One other option may be you keeping a mirror of the apps you don't control, in a consistent vcs, and then distributing your mirrored versions. This would take away the need for "everyone" to have many different programs installed.
Other than that, it seems the only real solution is what you guys are doing, there isn't a hassle-free way that I've been able to find.

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