pipenv install XYZ command sometimes hangs indefinitely at "Locking [packages] dependencies" #1816Description
Similar to these issues:
Summary
When using pipenv install XYZ, the process hangs indefinitely at "Locking [packages] dependencies".
This doesn't happen every time, and may be related to which package is being installed. This morning it is happening every time I try to install tensorflow. Last night it was happening for numpy as well, but today numpy is fine.
The hanged response seems to last indefinitely (though I did manually terminate the process after an hour). The Pipfile.lock is not written, but the Pipfile is written and the expected packages are installed and listed when I run pipenv run pip freeze.
I was able to reproduce this using various permutations of:
- (L)ubuntu 16.04 and (X)ubuntu 17.10
pipenv --threeandpipenv --two- pipenv installed through python 2.7 and pipenv installed through python 3.5
- ...and I downloaded the pipenv source and installed that in an isolated environment to see if the issue was specific to pipenv version 11.8.3. I experienced the same behavior in 11.9.0.
I am also able to reproduce it by simply running pipenv lock or pipenv update if I have tensorflow (or whatever package is currently causing me trouble) listed in my Pipfile.
$ python -m pipenv.help output
Pipenv version: '11.8.3'
Pipenv location: '/home/mary/.local/lib/python2.7/site-packages/pipenv'
Python location: '/usr/bin/python'
Other Python installations in PATH:
-
2.7:/usr/bin/python2.7 -
2.7:/usr/bin/python2.7 -
3.5:/usr/bin/python3.5m -
3.5:/usr/bin/python3.5 -
2.7.12:/usr/bin/python -
2.7.12:/usr/bin/python2 -
3.5.2:/usr/bin/python3
PEP 508 Information:
{'implementation_name': 'cpython',
'implementation_version': '0',
'os_name': 'posix',
'platform_machine': 'x86_64',
'platform_python_implementation': 'CPython',
'platform_release': '4.13.0-37-generic',
'platform_system': 'Linux',
'platform_version': '#42~16.04.1-Ubuntu SMP Wed Mar 7 16:03:28 UTC 2018',
'python_full_version': '2.7.12',
'python_version': '2.7',
'sys_platform': 'linux2'}
System environment variables:
MANDATORY_PATH_LXSESSION_PIDXDG_GREETER_DATA_DIRPROJECT_HOMELC_CTYPEPYTHONDONTWRITEBYTECODEXDG_CURRENT_DESKTOPXDG_SESSION_TYPELOGNAMEXDG_SEATPATHXDG_VTNRQT_PLATFORM_PLUGINPYTHONUNBUFFEREDVIRTUALENVWRAPPER_SCRIPTZSHDISPLAYSSH_AGENT_PIDLANGTERMSHELLXDG_SESSION_PATHXAUTHORITYLANGUAGESHLVLQT_LINUX_ACCESSIBILITY_ALWAYS_ONQT_QPA_PLATFORMTHEMESESSION_FOLDERQT_ACCESSIBILITYWINDOWIDLIBVIRT_DEFAULT_URIHOMEXDG_SESSION_DESKTOPSAL_USE_VCLPLUGINXDG_RUNTIME_DIRWORKON_HOMESSH_AUTH_SOCKVTE_VERSIONGDMSESSIONVIRTUALENVWRAPPER_WORKON_CDXDG_SEAT_PATHPIP_PYTHON_PATHXDG_SESSION_IDDBUS_SESSION_BUS_ADDRESS_VIRTUALENVWRAPPER_HOOK_DIRVIRTUALENVWRAPPER_PROJECT_FILENAMEDESKTOP_SESSIONLSCOLORSXDG_CONFIG_DIRSDEFAULTS_PATHXDG_CONFIG_HOMEOLDPWDLS_COLORSGDM_LANGXDG_DATA_DIRSPWDXDG_MENU_PREFIXLESSPAGERUSER
Pipenv–specific environment variables:
Debug–specific environment variables:
PATH:/home/mary/bin:/home/mary/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/gamesSHELL:/usr/bin/zshLANG:en_US.UTF-8PWD:/home/mary/Development/Projects/poor_mans_smart_camera
Contents of Pipfile ('/home/mary/Development/Projects/poor_mans_smart_camera/Pipfile'):
[[source]]
url = "https://pypi.python.org/simple"
verify_ssl = true
name = "pypi"
[dev-packages]
[packages]
numpy = "*"
tensorflow = "*"
[requires]
python_version = "3.5"
Expected result
I expect the step in which the Pipfile.lock is generated to take at most a minute.
I have good hardware with lots of free memory and processing power, so I don't think this is a resource constraint. My internet speed is 60 Mbps, so I doubt it is a networking issue when requesting packages.
Actual result
While this screenshot doesn't show verbose output like the file above, it does visually demonstrate what I am experiencing.
Steps to replicate
- Spin up new virtualenv using
pipenv --threeorpipenv --two. - Confirm things are working as expected with a package you know is installing fine such as
pipenv install pylint. - Now cause it to hang by installing a package that is not working for whatever reason such as
pipenv install tensorflow.