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pip-tools keeps your pinned dependencies fresh.

Project description

Jazzband PyPI version Supported Python versions Travis CI build status AppVeyor build status Coverage

pip-tools = pip-compile + pip-sync

A set of command line tools to help you keep your pip-based packages fresh, even when you’ve pinned them. You do pin them, right? (In building your Python application and its dependencies for production, you want to make sure that your builds are predictable and deterministic.)

pip-tools overview for phase II

Installation

Similar to pip, pip-tools must be installed in each of your project’s virtual environments:

$ source /path/to/venv/bin/activate
(venv)$ pip install pip-tools

Note: all of the remaining example commands assume you’ve activated your project’s virtual environment.

Example usage for pip-compile

The pip-compile command lets you compile a requirements.txt file from your dependencies, specified in either setup.py or requirements.in.

Run it with pip-compile or python -m piptools compile. If you use multiple Python versions, you can run pip-compile as py -X.Y -m piptools compile on Windows and pythonX.Y -m piptools compile on other systems.

pip-compile should be run from the same virtual environment as your project so conditional dependencies that require a specific Python version, or other environment markers, resolve relative to your project’s environment.

Note: ensure you don’t have requirements.txt if you compile setup.py or requirements.in from scratch, otherwise, it might interfere.

Requirements from setup.py

Suppose you have a Django project, and want to pin it for production. If you have a setup.py with install_requires=['django'], then run pip-compile without any arguments:

$ pip-compile
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile
#
asgiref==3.2.3            # via django
django==3.0.3             # via my_django_project (setup.py)
pytz==2019.3              # via django
sqlparse==0.3.0           # via django

pip-compile will produce your requirements.txt, with all the Django dependencies (and all underlying dependencies) pinned. You should put requirements.txt under version control.

Without setup.py

If you don’t use setup.py (it’s easy to write one), you can create a requirements.in file to declare the Django dependency:

# requirements.in
django

Now, run pip-compile requirements.in:

$ pip-compile requirements.in
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile requirements.in
#
asgiref==3.2.3            # via django
django==3.0.3             # via -r requirements.in
pytz==2019.3              # via django
sqlparse==0.3.0           # via django

And it will produce your requirements.txt, with all the Django dependencies (and all underlying dependencies) pinned. You should put both requirements.in and requirements.txt under version control.

Using hashes

If you would like to use Hash-Checking Mode available in pip since version 8.0, pip-compile offers --generate-hashes flag:

$ pip-compile --generate-hashes requirements.in
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile --generate-hashes requirements.in
#
asgiref==3.2.3 \
    --hash=sha256:7e06d934a7718bf3975acbf87780ba678957b87c7adc056f13b6215d610695a0 \
    --hash=sha256:ea448f92fc35a0ef4b1508f53a04c4670255a3f33d22a81c8fc9c872036adbe5 \
    # via django
django==3.0.3 \
    --hash=sha256:2f1ba1db8648484dd5c238fb62504777b7ad090c81c5f1fd8d5eb5ec21b5f283 \
    --hash=sha256:c91c91a7ad6ef67a874a4f76f58ba534f9208412692a840e1d125eb5c279cb0a \
    # via -r requirements.in
pytz==2019.3 \
    --hash=sha256:1c557d7d0e871de1f5ccd5833f60fb2550652da6be2693c1e02300743d21500d \
    --hash=sha256:b02c06db6cf09c12dd25137e563b31700d3b80fcc4ad23abb7a315f2789819be \
    # via django
sqlparse==0.3.0 \
    --hash=sha256:40afe6b8d4b1117e7dff5504d7a8ce07d9a1b15aeeade8a2d10f130a834f8177 \
    --hash=sha256:7c3dca29c022744e95b547e867cee89f4fce4373f3549ccd8797d8eb52cdb873 \
    # via django

Updating requirements

To update all packages, periodically re-run pip-compile --upgrade.

To update a specific package to the latest or a specific version use the --upgrade-package or -P flag:

# only update the django package
$ pip-compile --upgrade-package django

# update both the django and requests packages
$ pip-compile --upgrade-package django --upgrade-package requests

# update the django package to the latest, and requests to v2.0.0
$ pip-compile --upgrade-package django --upgrade-package requests==2.0.0

You can combine --upgrade and --upgrade-package in one command, to provide constraints on the allowed upgrades. For example to upgrade all packages whilst constraining requests to the latest version less than 3.0:

$ pip-compile --upgrade --upgrade-package 'requests<3.0'

Output File

To output the pinned requirements in a filename other than requirements.txt, use --output-file. This might be useful for compiling multiple files, for example with different constraints on django to test a library with both versions using tox:

$ pip-compile --upgrade-package 'django<1.0' --output-file requirements-django0x.txt
$ pip-compile --upgrade-package 'django<2.0' --output-file requirements-django1x.txt

Or to output to standard output, use --output-file=-:

$ pip-compile --output-file=- > requirements.txt
$ pip-compile - --output-file=- < requirements.in > requirements.txt

Configuration

You might be wrapping the pip-compile command in another script. To avoid confusing consumers of your custom script you can override the update command generated at the top of requirements files by setting the CUSTOM_COMPILE_COMMAND environment variable.

$ CUSTOM_COMPILE_COMMAND="./pipcompilewrapper" pip-compile requirements.in
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    ./pipcompilewrapper
#
asgiref==3.2.3            # via django
django==3.0.3             # via -r requirements.in
pytz==2019.3              # via django
sqlparse==0.3.0           # via django

Workflow for layered requirements

If you have different environments that you need to install different but compatible packages for, then you can create layered requirements files and use one layer to constrain the other.

For example, if you have a Django project where you want the newest 2.1 release in production and when developing you want to use the Django debug toolbar, then you can create two *.in files, one for each layer:

# requirements.in
django<2.2

At the top of the development requirements dev-requirements.in you use -c requirements.txt to constrain the dev requirements to packages already selected for production in requirements.txt.

# dev-requirements.in
-c requirements.txt
django-debug-toolbar

First, compile requirements.txt as usual:

$ pip-compile
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile
#
django==2.1.15            # via -r requirements.in
pytz==2019.3              # via django

Now compile the dev requirements and the requirements.txt file is used as a constraint:

$ pip-compile dev-requirements.in
#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile dev-requirements.in
#
django-debug-toolbar==2.2  # via -r dev-requirements.in
django==2.1.15            # via -c requirements.txt, django-debug-toolbar
pytz==2019.3              # via -c requirements.txt, django
sqlparse==0.3.0           # via django-debug-toolbar

As you can see above, even though a 2.2 release of Django is available, the dev requirements only include a 2.1 version of Django because they were constrained. Now both compiled requirements files can be installed safely in the dev environment.

To install requirements in production stage use:

$ pip-sync

You can install requirements in development stage by:

$ pip-sync requirements.txt dev-requirements.txt

Example usage for pip-sync

Now that you have a requirements.txt, you can use pip-sync to update your virtual environment to reflect exactly what’s in there. This will install/upgrade/uninstall everything necessary to match the requirements.txt contents.

Run it with pip-sync or python -m piptools sync. If you use multiple Python versions, you can also run py -X.Y -m piptools sync on Windows and pythonX.Y -m piptools sync on other systems.

pip-sync must be installed into and run from the same virtual environment as your project to identify which packages to install or upgrade.

Be careful: pip-sync is meant to be used only with a requirements.txt generated by pip-compile.

$ pip-sync
Uninstalling flake8-2.4.1:
  Successfully uninstalled flake8-2.4.1
Collecting click==4.1
  Downloading click-4.1-py2.py3-none-any.whl (62kB)
    100% |................................| 65kB 1.8MB/s
  Found existing installation: click 4.0
    Uninstalling click-4.0:
      Successfully uninstalled click-4.0
Successfully installed click-4.1

To sync multiple *.txt dependency lists, just pass them in via command line arguments, e.g.

$ pip-sync dev-requirements.txt requirements.txt

Passing in empty arguments would cause it to default to requirements.txt.

If you use multiple Python versions, you can run pip-sync as py -X.Y -m piptools sync ... on Windows and pythonX.Y -m piptools sync ... on other systems.

Note: pip-sync will not upgrade or uninstall packaging tools like setuptools, pip, or pip-tools itself. Use pip install --upgrade to upgrade those packages.

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