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Pipenv
Installing pipenv in the home directory to use it as global utility. Not many programs should be installed in the following manner and only programs such as poetry, virtualenv, pipenv, tox, can be installed in this manner. If you install too many programs with pip user install then it will lead to dependency conflicts.
pip install --user pipenv
If pipenv
isn't available in your shell post installing it, then add the user's base binary directory to PATH.
To find out the user base binary in Ubuntu python -m site --user-base
. This will generally return ~/.local
(~ will be replaced by your home path). Adding bin to the end of this(~/.local/bin
) is your user base binary directory, which needs to be added to PATH.
To know how to add the user base binary to your PATH, refer here.
By default pipenv creates all venv and stores it under ~/.local/share/virtualenvs
with the name of the project’s root directory plus the hash of the full path to the project’s root (e.g., my_project-a3de50). If you change your project’s path, you break such a default mapping and pipenv will no longer be able to find and to use the project’s virtualenv. To make sure that you can change your project's path and use the project's venv, do the below.
This entire documentation is based on creating the venv inside the project directory.
Pipenv doesn't automatically save the venv in the project directory. However, it can be set to do so temporarily or permanently by using or adding the same to ~/.bashrc
. If you don't know how, refer here.
export PIPENV_VENV_IN_PROJECT=1
pip install --user -U pipenv
If you are starting afresh...
cd
into a project directory and create a venv with a specific version of python with pipenv --python 3.7
. NOTE: This requires that you have pyenv installed, the specific python installed in your system, or you have it installed as part of a venv. If you would want to install multiple versions of python without installing a package manager then install pyenv.
This will automatically create a venv for the project and house the venv under .venv
. This will also automatically activate the newly created venv.
To activate any venv manually source .venv/bin/activate
.
To deactivate deactivate
.
However, one can also create automatically a venv with the default system python version, e.g in my case Python 3.10.6
, by using pipenv shell
.
pipenv --venv
pipenv --rm
pipenv install requests flask==0.12.1
pipenv
automatically creates a Pipfile
and adds the project packages under [packages]
. It will also generate a Pipfile.lock
if it's not generated already and will keep all the detailed packages dependency information.
Sometimes, while developing we might like to have additional packages installed which aren't useful for running the project, for instance a code formatter like autopep8, a documentation generator like Sphinx, and a static analysis tool like pycodestyle, Pylint, Flake8, mypy, or coverage.py.
pipenv install pytest autopep8 pycodestyle -d
pipenv
adds the devlopment packages under [dev-packages]
and creates a Pipfile
if necessary. It will also generate a Pipfile.lock
if it's not generated already and will keep all the detailed packages dependency information.
pipenv uninstall requests
pipenv uninstall --all
A Pipfile
contains minimal information about packages and the environment details. For this trial project it looks like below.
The Pipfile.lock
file contains detailed installed package information(package versions) along with their dependencies. If this file is present, pipenv will always rely on this file to install the dependencies.
The meta tag contains the environment information.
The default tag contains the detailed project packages information.
The develop tag contains the detailed development packages information.
Instead of creating a production environment with Pipfile, we create a deterministic environment with Pipfile.lock.
pipenv install --ignore-pipfile
Removing the option --ignore-pipfile
from the above command will install all the packages from the Pipfile, however, the exact environment might not be created as some packages in the Pipfile don't have a specific version to create a deterministic build. While creating the Pipfile, the project might have used a specific version of requests
package, but there might be an updated version of the package now, which will be installed by default as the Pipfile doesn't restrict requests
package to be installed with a specific version.
A developer might want to set up the same environment but would also like to install the development packages as well as he/she would like to develop the project.
pipenv install --ignore-pipfile -d
pipenv graph
pipenv run pip list
There are many commands one can run with pipenv run
.
pipenv check
If a project requirements.txt file already exists.
pipenv install -r requirements.txt
If a development requirements.txt file already exists.
pipenv install -r requirements_dev.txt -d
pipenv requirements > requirements.txt
pipenv requirements --dev > requirements_w_dev.txt
pipenv requirements --dev-only > requirements_only_dev.txt
https://pipenv.pypa.io/en/latest/commands.html
pipenv sync #installs dependencies from the Pipfile.lock without altering it
pipenv lock #updates all dependencies in Pipfile.lock
pipenv update <package> #updates the lock of a specified dependency and sub-dependencies
pipenv upgrade <package> #updates the lock of a specified dependency without modifying the environment.
pipenv shell #spawns a shell with the virtual environment activated
pipenv graph #shows a dependency graph.