pipenv lock hangs. It really does.

This is a followup to #2681, which was closed without addressing the issue for some users. Also #3812, #3829, SO and someone’s blog rant.

Summary pipenv lock downloads every available artifact of installed packages and their dependencies. It does this to calculate their hashes, even when the artifact url includes the hash in a fragment. For some large packages, such as scipy, which have large dependencies and many artifacts per version, this behavior can result in unreasonably long delays for some users (893MB vs. 50MB download). It’s also bad netiquette towards pypi.

Symptoms

• @connormclaud noted that lock seems peculiarly sensitive to network conditions before it disappeared by itself.
• @Pithikos complained of pipenv lock hanging when installing scipy
• @jackiekazil was surprised that the problem later seemed to disappear of its own.

#2681 was closed by @techalchemy with a comment suggesting the delay is due to lengthy build times (which don’t affect pipenv lock), but asked users to provide steps to reproduce.

note: All the packages fetched have wheels.

Details

pipenv.lock calls Resolver.resolve() which enables all artifacts https://github.com/pypa/pipenv/blob/4c003521052d3b607be5abedf989744a5c172bda/pipenv/patched/piptools/resolver.py#L68-L73

For a common setup consisting of scipy, pandas and numpy, here’s the list of artifacts:

Artifacts Queued for Hash Retrieval

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That’s a lot of sequential network round-trips to wait through, and most of these are for different platforms than the installation. But that’s not all.

Each artifact is passed to HashCache.get_hash. https://github.com/pypa/pipenv/blob/4c003521052d3b607be5abedf989744a5c172bda/pipenv/patched/piptools/repositories/pypi.py#L60-L71

The pypi artifact urls includes the sha256 hash, parsed into new_location.hash, but it isn’t used. If the HashCache doesn’t already hold the location key, the artifact is downloaded, hashed and then the hash is stored. This is the root cause of the delay, and in the above examples results in downloading 893MB of artifacts, compared to the 50MBs-worth which are installed.

The problem disappears if the user is patient enough to wait it out, or if the connection is fast. However, it seems most users are surprised by the delay (me included), and expect it to be more or less instantaneous once the packages are installed.

As a quick verification, I patched the get_hash method to use the hash fragment from the url if available, and the pipenv lock run time dropped to a few seconds.

Sidenote, --verbose does not log network requests, so this was masked from view even when trying to debug.

[tobiasfeil]

I’m going back to pip. This issue has been around for so long, and is the main blockage for new users. Makes the whole project seem a little bit unprofessional to me.

[iloveicedgreentea]

I have also gone back to pip. Every time an issue is opened, it is ignored. Pipenv, fundamentally, is unusable. Lock fails for me even with 10 relatively small packages. Its a shame because this was a great idea, only to be ruined by the locking mechanism.