pipenv | Python Development Workflow for Humans | Build Tool library

by pypa Python Version: 2022.12.19 License: MIT

kandi X-RAY | pipenv Summary

pipenv is a Python library typically used in Utilities, Build Tool applications. pipenv has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install pipenv' or download it from GitHub, PyPI.

Python Development Workflow for Humans.

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pipenv has a highly active ecosystem.
It has 23604 star(s) with 1810 fork(s). There are 360 watchers for this library.
There were 10 major release(s) in the last 6 months.
There are 226 open issues and 3660 have been closed. On average issues are closed in 298 days. There are 10 open pull requests and 0 closed requests.
It has a negative sentiment in the developer community.
The latest version of pipenv is 2022.12.19

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quality kandi Quality

pipenv has 0 bugs and 0 code smells.

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security Security

pipenv has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pipenv code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.

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license License

pipenv is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.

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pipenv releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
pipenv saves you 229198 person hours of effort in developing the same functionality from scratch.
It has 243975 lines of code, 13947 functions and 919 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.

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Top functions reviewed by kandi - BETA

kandi has reviewed pipenv and discovered the below as its top functions. This is intended to give you an instant insight into pipenv implemented functionality, and help decide if they suit your requirements.

Decorator to log the phase of each token .

Decorator to define class attributes .

Construct a set of charsets from a sequence of sequences .

Install a project .

Wrapper for urlopen .

Main function for pygments .

Create an Element Builder .

Return the script to create init scripts .

Install a wheel .

Initialize the Pipenv .

Get all kandi verified functions for this library.

pipenv Key Features

Python Development Workflow for Humans.

pipenv Examples and Code Snippets

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Community Discussions

Trending Discussions on pipenv

No module named 'virtualenv.activation.xonsh'
Export environment variables to JupyterHub users, without using Docker?
Celery + FastAPI on docker, the app container does not sync with Celery thus I can't use it
How to install "python-firebase" with "pipenv"
Can't build zip file for AWS lambda using Linux Alpine docker
Attempting to run pytest and tox raises ModuleNotFoundError
How to uninstall django-rest-swagger?
eb : The term 'eb' is not recognized as the name of a cmdlet, function, script file, or operable program
Running pipenv scripts on system python
How to specify a pip version in pipenv

Trending Discussions on pipenv

QUESTION

No module named 'virtualenv.activation.xonsh'

Asked 2022-Mar-01 at 14:16

I triyed to execute pipenv shell in a new environtment and I got the following error:

Loading .env environment variables…
Creating a virtualenv for this project…
Using /home/user/.pyenv/shims/python3.9 (3.9.7) to create virtualenv…
⠋ModuleNotFoundError: No module named 'virtualenv.activation.xonsh'
Error while trying to remove the /home/user/.local/share/virtualenvs/7t env: 
No such file or directory

Virtualenv location: 
Warning: Your Pipfile requires python_version 3.9, but you are using None (/bin/python).
  $ pipenv check will surely fail.
Spawning environment shell (/usr/bin/zsh). Use 'exit' to leave.

I tried to remove pipenv, install python with pienv create an alias to python, but anything works.

Any idea, I got the same error in existing environment, I tried to remove all environments folder but nothing.

Thanks.

ANSWER

Answered 2022-Feb-12 at 13:54

By github issue, the solution that works was the following:

sudo apt-get remove python3-virtualenv

Source https://stackoverflow.com/questions/71086270

QUESTION

Celery + FastAPI on docker, the app container does not sync with Celery thus I can't use it

Asked 2021-Nov-09 at 18:24

So I'm building a webapp using FastAPI. I use Celery to run some background tasks. My code works fine on my local development machine, but when I try to dockerize it, it seems the FastAPI app running on a container, can't sync with celery. For instance I have 4 containers:

If I start the webapp locally on my computer, and don't start the padel-checker-web-1 container and only use the other 3, celery on docker syncs with it and works.

My problem is having the webapp running inside docker and using celery, they just don't sync.

I'm pasting my docker-compose.yml to see if someone can point me in the right direction:

version: '3.9'

services:
  web: &app
    build: ./
    command: pipenv run python -m app.main
    networks:
      - backend-tier
    ports:
      - "8000:8000"
    depends_on:
      - worker
  rabbitmq:
    image: rabbitmq:3.9-management
    environment:
      - RABBITMQ_DEFAULT_USER=andre
      - RABBITMQ_DEFAULT_PASS=secret
    networks:
      - backend-tier
    volumes:
      - ./config/rabbitmq/rabbit.conf:/etc/rabbit/rabbit.conf
    ports:
      # The rabbitMQ management plugin - running on http://localhost:15672
      - "15672:15672"
      - "5672:5672"
  worker:
    <<: *app
    environment:
      CELERY_BROKER_URL: "amqp://andre:secret@rabbitmq/"
    ports: []
    command: ['pipenv', 'run', 'celery', '-A', 'app.feed.celery_worker.celery', 'worker', '-l', 'INFO']
    depends_on:
      - rabbitmq
    networks:
      - backend-tier
  flower:
    <<: *app
    environment:
      CELERY_BROKER_URL: "amqp://andre:secret@rabbitmq/"
    networks:
      - backend-tier
    ports:
      - "5555:5555"
    depends_on:
      - rabbitmq
      - worker
    command: ['pipenv', 'run', 'celery', 'flower']

networks:
  backend-tier:
    driver: bridge

If I try to use the container, calling any task.delay() it just hangs.

ANSWER

Answered 2021-Nov-09 at 18:24

I've fixed my docker-compose.yml, I guess it was the depends_on:

version: '3.9'

services:
  web: &app
    build: ./
    command: pipenv run python -m app.main # && pipenv run celery -A app.feed.celery_worker.celery worker -l INFO
    environment:
      - CELERY_BROKER_URL=amqp://andre:secret@rabbitmq/
    ports:
      - "8000:8000"
    depends_on:
      - rabbitmq
  rabbitmq:
    image: rabbitmq:3.9-management
    environment:
      - RABBITMQ_DEFAULT_USER=andre
      - RABBITMQ_DEFAULT_PASS=secret
    volumes:
      - ./config/rabbitmq/rabbit.conf:/etc/rabbit/rabbit.conf
    ports:
      # The rabbitMQ management plugin - running on http://localhost:15672
      - "15672:15672"
      - "5672:5672"
  worker:
    <<: *app
    environment:
      - CELERY_BROKER_URL=amqp://andre:secret@rabbitmq/
      - C_FORCE_ROOT=1
    ports: []
    command: ['pipenv', 'run', 'celery', '-A', 'app.feed.celery_worker.celery', 'worker', '-l', 'INFO']
    depends_on:
      - rabbitmq
      - web
  flower:
    <<: *app
    environment:
      CELERY_BROKER_URL: "amqp://andre:secret@rabbitmq/"
    ports:
      - "5555:5555"
    depends_on:
      - rabbitmq
      - worker
    command: ['pipenv', 'run', 'celery', 'flower']

Source https://stackoverflow.com/questions/69900669

QUESTION

How to install "python-firebase" with "pipenv"

Asked 2021-Oct-26 at 12:33

In short
How to install latest version of pip package python-firebase using pipenv when pipenv install python-firebase not working?

Full detail

To have firebase working with python code, as guided officially from firebase homepage here, I use python-firebase library as listed there.

Install it by running pipenv install python-firebase, my code resulted with below error.

Traceback (most recent call last):
  File "/home/namgivu/code/namgivu/l/gcp/gcp_firebase_start/_.py", line 56, in <module>
    from firebase import firebase
  File "/home/namgivu/code/namgivu/l/gcp/gcp_firebase_start/.venv/lib/python3.10/site-packages/firebase/__init__.py", line 3
    from .async import process_pool
          ^^^^^
SyntaxError: invalid syntax

The solution for that is to install the latest version of python-firebase, as discussed here, but thru the pip directly not pipenv

pip install git+https://github.com/ozgur/python-firebase

I tried that with pipenv inplaceof pip, but didn't work

pipenv install git+https://github.com/ozgur/python-firebase

So my question is what to put into Pipfile so that we can get firebase ready-to-serve in our python code by simple install command pipenv install ?

ANSWER

Answered 2021-Oct-25 at 08:41

According to the doc here from pipenv

pipenv install is fully compatible with pip install syntax

So you could try

pipenv install \
    git+https://github.com/ozgur/python-firebase@0d79d7609844569ea1cec4ac71cb9038e834c355#egg=python-firebase

as the recommendation you have linked suggested. Notice #egg=python-firebase is appended since pipenv requires an #egg fragment for version controlled dependencies.

To answer your question, the following is the Pipfile generated by pipenv, although you should rely on pipenv to generate this file for you.


[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"

[packages]
python-firebase = {ref = "0d79d7609844569ea1cec4ac71cb9038e834c355", git = "https://github.com/ozgur/python-firebase"}

[dev-packages]

[requires]
python_version = "3.9"

Source https://stackoverflow.com/questions/69704698

QUESTION

Can't build zip file for AWS lambda using Linux Alpine docker

Asked 2021-Oct-02 at 21:43

I have Dockerfile based on Alpine linux that builds lambda.zip file for AWS Lambda. Here's Dockerfile:

FROM alpine:3.12

# -- Install OS packages:
RUN apk add gcc
RUN apk add --update --no-cache \
    bash \
    build-base \
    cargo \
    curl \
    docker \
    # gcc \
    git \
    g++ \
    lftp \
    libc-dev \
    libffi-dev \
    libsodium-dev \
    libxslt-dev\
    libzmq \ 
    zeromq-dev \
    make \
    musl-dev \
    ncftp \
    nodejs \
    npm \
    openssh-client \
    openssl \
    openssl-dev \
    rsync \
    su-exec \
    tar \
    wget \
    zip 
# geos \ 
# geos-dev \
# libc-dev 

WORKDIR /tmp/

RUN echo "http://mirror.leaseweb.com/alpine/edge/community" >> /etc/apk/repositories
RUN echo "http://dl-cdn.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories
RUN apk add --virtual .build-deps \
    --repository http://dl-cdn.alpinelinux.org/alpine/edge/community \
    --repository http://dl-cdn.alpinelinux.org/alpine/edge/main \
    libc-dev geos-dev geos && \
    runDeps="$(scanelf --needed --nobanner --recursive /usr/local \
    | awk '{ gsub(/,/, "\nso:", $2); print "so:" $2 }' \
    | xargs -r apk info --installed \
    | sort -u)" && \
    apk add --virtual .rundeps $runDeps

RUN geos-config --cflags

# -- Install python:
RUN apk add --update --no-cache python3-dev python3 \
    && python3 -m ensurepip --upgrade \
    && pip3 install --upgrade pip pipenv setuptools docker-compose awscli shapely wheel \
    && rm -r /usr/lib/python*/ensurepip  \
    && if [ ! -e /usr/bin/pip ]; then ln -s pip3 /usr/bin/pip ; fi \
    && if [[ ! -e /usr/bin/python ]]; then ln

Here's script that works on docker Alpine image and builds lambda.zip that contains python files and all needed dependencies like boto3, pip, six etc.

 
#!/bin/bash

set -x
set -e

pipenv install
rm -rf lambda.zip

VENV=$(pipenv --venv)
TEMPDIR=$(mktemp -d)

rsync -r --progress ./* ${TEMPDIR}
rsync -r --progress ${VENV}/lib/python3.8/site-packages/* ${TEMPDIR}

pushd ${TEMPDIR}
zip -r lambda.zip ./*
popd

cp ${TEMPDIR}/lambda.zip ./

cleanup() {
    rm -rf ${TEMPDIR}
}

trap cleanup EXIT

Then I copy this lambda.zip to my local machine, unzip it and enable pipenv on my local machine to use only that packages in lambda.zip and i try to test Shapely package, for example test.py:

from shapely.geometry import Polygon
print(Polygon([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]).minimum_clearance)

On AWS lambda and on my local machine I am getting same error with geos_c After:

Traceback (most recent call last):
  File "test.py", line 1, in <module>
    from shapely.geometry import Polygon
  File "/home/stark/code/job/lamba_python_312_stack/shapely/geometry/__init__.py", line 4, in <module>
    from .base import CAP_STYLE, JOIN_STYLE
  File "/home/stark/code/job/lamba_python_312_stack/shapely/geometry/base.py", line 19, in <module>
    from shapely.coords import CoordinateSequence
  File "/home/stark/code/job/lamba_python_312_stack/shapely/coords.py", line 8, in <module>
    from shapely.geos import lgeos
  File "/home/stark/code/job/lamba_python_312_stack/shapely/geos.py", line 87, in <module>
    _lgeos = load_dll('geos_c', fallbacks=alt_paths)
  File "/home/stark/code/job/lamba_python_312_stack/shapely/geos.py", line 60, in load_dll
    raise OSError(
OSError: Could not find lib geos_c or load any of its variants ['libgeos_c.so.1', 'libgeos_c.so'].

If I unzip file, I got something like these:

@user# ls

iohttp
aiohttp-3.7.4.post0.dist-info
attr
attrs-21.2.0.dist-info
boto3
boto3-1.18.38.dist-info
botocore
cron_runner.py
setuptools-58.0.4.virtualenv
shapely
Shapely-1.7.1.dist-info
...
xmltodict.py
yarl
yarl-1.6.3.dist-info

I tried a lot of different solutions on Internet so you can see a mess in my Dockerfile, but they didn't work.

ANSWER

Answered 2021-Oct-02 at 21:43

You are installing some statically compiled dependencies in your Docker environment, like libc-dev, geos-dev, and geos. You have to also include those static dependencies in the Lambda deployment zip file. Also, to include statically compiled dependencies for use in AWS Lambda you have to use the same operating system Lambda uses, which is Amazon Linux, not Alpine Linux.

Luckily there are two alternatives now that make this much easier:

Lambda Layers

Lambda Layers are Lambda dependencies that can be packaged up in a reusable method, that can also be shared with other developers. In this case someone has already created a shapely Lambda Layer (and someone else here) that you can simply include in your Lambda function instead of trying to package it yourself.

If you still want to build it yourself you could look at that project's source code to see how they are building the layer.

Lambda Containers

Instead of creating a zip deployment, you could create a Docker image and deploy it to Lambda. You do have to implement a specific interface inside your Lambda container if you go this route, and it is easiest to do this by starting with one of the official AWS Lambda base images.

Source https://stackoverflow.com/questions/69418853

QUESTION

Attempting to run pytest and tox raises ModuleNotFoundError

Asked 2021-Sep-13 at 20:21

I'm having issues testing my package with pytest and tox. When attempting to run both I receive ModuleNotFoundError. Pytest does find test_hello.py but fails immediate on trying to import my package for the test.

I am using PyCharm IDE which automatically sets up a pipenv environment for my project. I am using the terminal shell (Powershell instance) within PyCharm to run pytest / tox / pip commands.

I've tried running pytest with and without pip installing my package first: pip install -e . Both yields the same ModuleNotFoundError result.

Traceback

ImportError while importing test module 'C:\Users\USERNAME\Workspace\hello2\tests\test_hello.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
..\..\appdata\local\programs\python\python39\lib\importlib\__init__.py:127: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
tests\test_hello.py:2: in <module>
    from hello import Hello
E   ModuleNotFoundError: No module named 'hello'

Package Structure

root/
  +--- src/
  |     +--- hello/
  |            +--- __init__.py
  |            +--- hello.py
  |
  +--- tests/
  |      +--- test_hello.py
  |
  +--- setup.py
  +--- tox.ini

init.py

from .hello import Hello  # noqa

tox.ini

[tox]
envlist = py39
skipsdist = True

[testenv]
deps =
  flake8
  pytest
  pytest-cov
  safety
commands =
  pip install -e .
  safety check --full-report
  flake8 --max-line-length=120 --statistics setup.py src/ tests/
  pytest -p no:warnings --cov=src --cov-fail-under=80 --cov-report=term --cov-report=xml -- 
  junit-xml report.xml

test_hello.py

import os
from hello import Hello

running_in_ci = os.environ.get('CI_JOB_ID') is not None
test_name = 'Bob'


def test_hello():
    """Check if search returns expected results."""
    cli = Hello(name=test_name)
    assert cli.say_hello() is None
    assert cli.say_hello(by_name=True) is None

ANSWER

Answered 2021-Sep-13 at 20:21

You don't show us your setup.py, but as you use a src directory structure, you most likely miss the following arguments when calling setup:

    packages=find_packages(where="src"),
    package_dir={"": "src"},

i.e a minimal working setup.py would look like...

from setuptools import setup, find_packages

setup(
    name='MyPackageName',
    version='1.0.0',
    url='https://github.com/mypackage.git',
    author='Author Name',
    author_email='author@gmail.com',
    description='Description of my package',
    packages=find_packages(where="src"),
    package_dir={"": "src"},
)

Source https://stackoverflow.com/questions/69168140

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pipenv

You can install using 'pip install pipenv' or download it from GitHub, PyPI.
You can use pipenv like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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