pipenv: deployment workflow

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 which is already configured in systemd or supervisor. E.g.: command=/home/ubuntu/production/application_xy/env/bin/gunicorn module:app

pipenv creates the env in some location such as /home/ultimo/.local/share/virtualenvs/application_xy-jvrv1OSi

What is the intended workflow to deploy an application with pipenv?

回答1:

You have few options there.

You can run your gunicorn via pipenv run:

pipenv run gunicorn module:app

This creates a slight overhead, but has the advantage of also loading environment from $PROJECT_DIR/.env (or other $PIPENV_DOTENV_LOCATION).

You can set the PIPENV_VENV_IN_PROJECT environment variable. This will keep pipenv's virtualenv in $PROJECT_DIR/.venv instead of the global location.
You can use an existing virtualenv and run pipenv from it. Pipenv will not attempt to create its own virtualenv if it's run from one.
You can just use the weird pipenv-created virtualenv path.

回答2:

I've just switched to pipenv for deployment and my workflow is roughly as follows (managed with ansible). For an imaginary project called "project", assuming that a working Pipfile.lock is checked into source control:

Clone the git repository:

git clone https://github.com/namespace/project.git /opt/project
Change into that directory

cd /opt/project
Check out the target reference (branch, tag, ...):

git checkout $git_ref
Create a virtualenv somewhere, with the target Python version (3.6, 2.7, etc):

virtualenv -p"python$pyver" /usr/local/project/$git_ref
Call pipenv in the context of that virtualenv, so it won't install its own:

VIRTUAL_ENV="/usr/local/project/$git_ref" pipenv --python="/usr/local/project/$git_ref/bin/python" install --deploy

The --deploy will throw an error, when the Pipfile.lock does not match the Pipfile.
Install the project itself using the virtualenv's pip (only necessary if it isn't already in the Pipfile):

/usr/local/project/$git_ref/bin/pip install /opt/project
Set a symlink to the new installation directory:

ln -s /usr/local/project/$git_ref /usr/local/project/current

My application is then callable e.g. with /usr/local/project/current/bin/project_exec --foo --bar, which is what's configured in supervisor, for instance.

All of this is triggered when a tag is pushed to the remote.

As the virtualenvs of earlier versions remain intact, a rollback is simply done by setting the current-symlink back to an earlier version. I.e. if tag 1.5 is broken, and I want to go back to 1.4, all I have to do is ln -s /usr/local/project/1.4 /usr/local/project/current and restart the application with supervisorctl.

回答3:

To create virtual environment in the same directory as the project set the following environment variable ^doc

PIPENV_VENV_IN_PROJECT=true

This installs the dependencies to .venv directory inside project. Available from PipEnv v2.8.7

回答4:

I think pipenv is very good for managing dependencies but is too slow, cumbersome and still a bit unstable for using it for automatic deployments.

Instead I use virtualenv (or virtualenvwrapper) and pip on the target machine.

On my development machine I create a requirements.txt compatible text file using pipenv lock -r:
```
$ pipenv lock -r > deploy-requirements.txt
```
While deploying, inside a virtualenv I run:
```
$ pip install -r deploy-requirements.txt
```

回答5:

Just do this:

mkdir .venv
pipenv install

Explanation:

pipenv checks your project directory for a sub directory named .venv. If it finds it, then pipenv creates a local virtual environment (because then it sets automatically PIPENV_VENV_IN_PROJECT=true)

So now if you want you can either activate the virtual environment with:

source .venv/bin/activate

Or config you app.conf for gunicorn with something like this:

exec /path/to/.venv/bin/gunicorn myapp:app

来源：https://stackoverflow.com/questions/48567245/pipenv-deployment-workflow

标签

python

pipenv