pip-requirements-parser

pip-requirements-parser - a mostly correct pip requirements parsing library

Copyright (c) nexB Inc. and others. Copyright (c) The pip developers (see AUTHORS.rst file) SPDX-License-Identifier: MIT Homepage: https://github.com/nexB/pip-requirements and https://www.aboutcode.org/

pip-requirements-parser is a mostly correct pip requirements parsing library ... because it uses pip's own code!

pip is the package installer for Python that is using "requirements" text files listing the packages to install.

Per https://pip.pypa.io/en/stable/reference/requirements-file-format/ :

"The requirements file format is closely tied to a number of internal
details of pip (e.g., pip’s command line options). The basic format is
relatively stable and portable but the full syntax, as described here,
is only intended for consumption by pip, and other tools should take
that into account before using it for their own purposes."

And per https://pip.pypa.io/en/stable/user_guide/#using-pip-from-your-program :

"[..] pip is a command line program. While it is implemented in Python, and
so is available from your Python code via import pip, you must not use pip’s
internal APIs in this way."

"What this means in practice is that everything inside of pip is considered
an implementation detail. Even the fact that the import name is pip is
subject to change without notice. While we do try not to break things as
much as possible, all the internal APIs can change at any time, for any
reason. It also means that we generally won’t fix issues that are a result
of using pip in an unsupported way."

Because of all this, pip requirements are notoriously difficult to parse right in all their diversity because:

• pip does not have a public API and therefore cannot be reliably used as a stable library. Some libraries attempt to do this though. (See Alternative)

• The pip requirements file syntax is closely aligned with pip's command line interface and command line options. In some ways a pip requirements file is a list of pip command line options and arguments. Therefore, it is hard to parse these short of reproducing the pip command line options parsing. At least one other library is using a command line option parser to parse options correctly.

This pip-requirements-parser Python library is yet another pip requirements files parser, but this time doing it hopefully correctly and doing as well as pip does it, because this is using pip's own code.

The pip-requirements-parser library offers these key advantages:

• Other requirements parsers typically do not work in all the cases that pip supports: parsing any requirement as seen in the wild will fail parsing some valid pip requirements. Since the pip-requirements-parser library is based on pip's own code, it works exactly like pip and will parse all the requirements files that pip can parse.

• The pip-requirements-parser library offers a simple and stable code API that will not change without notice.

• The pip-requirements-parser library is designed to work offline without making any external network call, while the original pip code needs network access.

• The pip-requirements-parser library is a single file that can easily be copied around as needed for easy vendoring. This is useful as requirements parsing is often needed to bootstrap in a constrained environment.

• The pip-requirements-parser library has only one external dependency on the common "packaging" package. Otherwise it uses only the standard library. The benefits are the same as being a single file: fewer moving parts helps with using it in more cases.

• The pip-requirements-parser library reuses and passes the full subset of the pip test suite that deals with requirements. This is a not really surprising since this is pip's own code. The suite suite has been carefully ported and adjusted to work with the updated code subset.

• The standard pip requirements parser depends on the requests HTTP library and makes network connection to PyPI and other referenced repositories when parsing. The pip-requirements-parser library works entirely offline and the requests dependency and calling has been entirely removed.

• The pip-requirements-parser library has preserved the complete pip git history for the subset of the code we kept. The original pip code was merged from multiple modules keeping all the git history at the line/blame level using some git fu and git filter repo. The benefit is that we will be able to more easily track and merge future pip updates.

• The pip-requirements-parser library has an extensive test suite made of:

  • pip's own tests

  • new unit tests

  • new requirements test files (over 40 new test files)

  • the tests suite of some of the main other requirement parsers including:

    • http://github.com/di/pip-api
    • https://github.com/pyupio/dparse
    • https://github.com/landscapeio/requirements-detector
    • https://github.com/madpah/requirements-parser

As a result, it has likely the most comprehensive requiremente parsing test suite around.

Usage

The entry point is the ``RequirementsFile`` object::

    >>> from pip_requirements_parser import RequirementsFile
    >>> rf = RequirementsFile.from_file("requirements.txt")

From there, you can dump to a dict::
    >>> rf.to_dict()

Or access the requirements (either InstallRequirement or EditableRequirement
objects)::

    >>> for req in rf.requirements:
    ...    print(req.to_dict())
    ...    print(req.dumps())

And the various other parsed elements such as options, commenst and invalid lines
that have a parsing error::

    >>> rf.options
    >>> rf.comment_lines
    >>> rf.invalid_lines

Each of these and the ``requirements`` hahve a "requirement_line" attribute
with the original text.

Finally you can get a requirements file back as a string::

    >>> rf.dumps()


Alternative
------------------

There are several other parsers that either:

- Implement their own parsing and can therefore miss some subtle differences
- Or wrap and import pip as a library, working around the lack of pip API

None of these use the approach of reusing and forking the subset of pip that is
needed to parse requirements.  The ones that wrap pip require network access
like pip does. They potentially need updating each time there is a new pip
release. The ones that reimplement pip parsing may not support all pip
specifics.


Implement a new pip parser

• pip-api https://github.com/di/pip-api does not support hashes and certain pip options. It does however use argparse for parsing options and is therefore correctly handling most options. The parser is a single script that only depends on packaging (that is vendored). It is not designed to be used as a single script though and pip is a dependency.

• requirements-parser https://github.com/madpah/requirements-parse does not support hashes and certain pip options

• dparse https://github.com/pyupio/dparse

• https://github.com/GoogleCloudPlatform/django-cloud-deploy/blob/d316b1e45357761e2b124143e6e12ce34ef6f975/django_cloud_deploy/skeleton/requirements_parser.py

Reuse and wrap pip's own parser

- requirementslib https://github.com/sarugaku/requirementslib uses pip-shim
  https://github.com/sarugaku/pip-shims which is a set of "shims" around each
  pip versions in an attempt to offer an API to pip. Comes with 20+ dependencies,

- micropipenv https://github.com/thoth-station/micropipenv/blob/d0c37c1bf0aadf5149aebe2df0bf1cb12ded4c40/micropipenv.py#L53

- pip-tools https://github.com/jazzband/pip-tools/blob/9e1be05375104c56e07cdb0904e1b50b86f8b550/piptools/_compat/pip_compat.py