pipenv

Python sees `json` module but pipenv doesn't. Why?

由 纵然是瞬间 提交于 2019-12-06 15:11:42
I am trying to help a coworker configure their VM. I am having a very strange problem: Z:\codebase>pipenv uninstall Locking [dev-packages] dependencies. Locking [packages] dependencies. nv\\resolver.py", line 3, in <module> import json ModuleNotFoundError: No module named 'json' Z:\codebase>python Python 3.5.3 (v3.5.3:1880cb95a742, Jan 16 2017, 16:02:32) [MSC v.1900 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import json >>> json <module 'json' from 'C:\\Program Files\\Python35\\lib\\json\\__init__.py'> >>> So python can import json when

PipEnv: How to handle locally installed .whl packages

由 一笑奈何 提交于 2019-12-06 05:33:28
I'm using PipEnv to set up a project, and some packages I'm needing to install from precompiled binaries. In a previous project I just pipenv installed the .whl files from some local folder into my environment, but this seems to cause issues with the lock file throwing an error if someone else tries to install from the repository since the pipfile tracks the local path. What are best practices for this? Should I create a packages repository as part of the project and install from that? You should set up a private PyPI index server, and configure Pipenv to use that server . Setting up a private

Pipenv global environment

由 霸气de小男生 提交于 2019-12-06 01:58:52
Pipenv is a good tool for managing python environments. But some things need to be global. For instance most command line tools should be always available and jupyter for use with non python kernels. Can pipenv be used to manage such a global python environment as well? If so, how? Is this a sane thing to do? Installing from Pipenv without a virtual environment I had a similar problem to you - I needed to install dependencies globally on our production server. I came across this discussion which alerted me to the --system option. pipenv install --system installs dependencies globally.

Pipenv with Conda?

由 纵然是瞬间 提交于 2019-12-05 16:42:08
问题 I'm using Anaconda for my virtualenvs in win 10. I'm using git-bash .I've been reading about pipenv recently and decided to give it a try. I installed pipenv on my base conda python which is a version of python 2.7 using : pip install pipenv I can easily create a python environment using conda create --name py3 python=3.6 but I tried: $ pipenv install --three which gave: Warning: Python 3 was not found on your system… You can specify specific versions of Python with: $ pipenv --python path\to

“pipenv requires an #egg fragment for version controlled dependencies” warning when installing the BlueJeans meeting API client

由 余生长醉 提交于 2019-12-05 13:01:25
问题 Adapting the instructions from https://github.com/bluejeans/api-rest-meetings/tree/master/libs/python#pip-install, in a pipenv shell I'm trying to run pipenv install git+https://github.com/bluejeans/api-rest-meetings.git@pip-repo However, I'm getting the following error message: ⠋WARNING: pipenv requires an #egg fragment for version controlled dependencies. Please install remote dependency in the form git+https://github.com/bluejeans/api-rest-meetings.git#egg=. Here is the full command and

Windows reports error when trying to install package using pipenv

由 半腔热情 提交于 2019-12-04 17:51:59
问题 I installed pipenv by following the instructions here. From the Windows command prompt I ran pip install --user pipenv which returned the message Successfully installed pipenv-5.3.3 Now I want to install the requests package using pipenv, so I ran pipenv install requests but this returned 'pipenv' is not recognized as an internal or external command, operable program or batch file. I have added the path C:\Users\Robert\AppData\Roaming\Python\Python35\site-packages to my Windows path

pipenv: deployment workflow

由 落花浮王杯 提交于 2019-12-04 08:23:06
问题 I am thinking about switching from pip & virtualenv to pipenv. But after studying the documentation I am still at a loss on how the creators of pipenv structured the deployment workflow. For example, in development I have a Pipfile & a Pipfile.lock that define the environment. Using a deployment script I want to deploy git pull via Github to production server pipenv install creates/refreshes the environment in the home directory of the deployment user But I need a venv in a specific directory

Package Python Pipenv project for AWS Lambda

由 谁都会走 提交于 2019-12-04 08:14:59
I have a python project and I am using pipenv to handle deps. I need to create a zip file that includes the source code and all the dependencies code as well. I need this zip file for uploading it to AWS Lambda. When working with pipenv, it downloads the dependency libraries somewhere in the computer, but for packaging/distribution of the project I need all the necessary code to be contained in the same place (a zip file). Is there a way to run pipenv and set it to install dependencies at a specific path? If not, does someone knows where those dependencies are located in my machine? Thanks

Pycharm warns package requirement not satisfied when using pipenv to install package

由 蓝咒 提交于 2019-12-04 03:37:41
问题 I am trying to install packages into my Pycharm environment using pipenv. However, when I use pipenv install <package name> , a popup appears on the top mentioning "Package requirement not satisfied" and asks me to "install requirements from Pipfile.lock" When I started the project, I selected Pipenv as my project interpreter.Why is PyCharm asking to re-install a package from the Pipfile.lock file when I clearly used pipenv from the beginning and set the project to use Pipenv as an

making a commandline alias to a python file in a pipenv project

由 被刻印的时光 ゝ 提交于 2019-12-04 01:48:56
问题 I've been making a python project using pipenv, and I want to be able to run it in a terminal from any location on my (linux) system. Specifically, say I have the following directory structure: /home /project Pipfile main.py /other_dir I would like to be able to make an alias that allows me to call main.py like so: /home/other_dir$ alias_to_my_proyect --some args and run it in the virtual env, having the same behaviour as /home/project$ pipenv run python main.py But in another directory. If
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