An unofficial, importable pip API
Project description
Since pip
is a command-line-tool, it does not have
an official, supported, importable
API.
However, this does not mean that people haven't tried to import pip
, usually
to end up with much headache when pip
's maintainers do routine refactoring.
Goal
The goal of this project is to provide an importable pip
API, which is fully
compliant with the recommended method of using pip
from your program.
How? By providing an importable API that wraps command-line calls to pip
,
this library can be used as a drop-in replacement for existing uses of pip
's
internal API.
Scope
This goal means that any new API added here must have the following equivalents:
- some internal
pip
API (or combination of internal APIs) - some CLI calls (or combination of CLI calls)
Any functionality that is not currently possible from internal pip
API or
CLI calls is out of scope.
Installation
You can install pip-api
with either pip
or with conda
.
With pip:
python -m pip install pip-api
With conda:
conda install -c conda-forge pip-api
Supported Commands
Not all commands are supported in all versions of pip
and on all platforms.
If the command you are trying to use is not compatible, pip_api
will raise a
pip_api.exceptions.Incompatible
exception for your program to catch.
Available with all pip
versions:
-
pip_api.version()
Returns the
pip
version as a string, e.g."9.0.1"
-
pip_api.installed_distributions(local=False)
Returns a list of all installed distributions as a
Distribution
object with the following attributes:Distribution.name
(string
): The name of the installed distributionDistribution.version
(packaging.version.Version
): The version of the installed distributionDistribution.location
(string
): The location of the installed distributionDistribution.editable
(bool
): Whether the distribution is editable or not Optionally takes alocal
parameter to filter out globally-installed packages
-
pip_api.parse_requirements(filename, options=None, include_invalid=False, strict_hashes=False)
Takes a path to a filename of a Requirements file. Returns a mapping from package name to a
pip_api.Requirement
object (subclass ofpackaging.requirements.Requirement
) with the following attributes:Requirement.name
(string
): The name of the requirement.Requirement.extras
(set
): A set of extras that the requirement specifies.Requirement.specifier
(packaging.specifiers.SpecifierSet
): ASpecifierSet
of the version specified by the requirement.Requirement.marker
(packaging.markers.Marker
): AMarker
of the marker for the requirement. Can beNone
.Requirement.hashes
(dict
): A mapping of hashes for the requirement, corresponding to--hash=...
options.Requirement.editable
(bool
): Whether the requirement is editable, corresponding to-e ...
Requirement.filename
(str
): The filename that the requirement originates from.Requirement.lineno
(int
): The source line that the requirement was parsed from.
Optionally takes an
options
parameter to override the regex used to skip requirements lines. Optionally takes aninclude_invalid
parameter to return anUnparsedRequirement
in the event that a requirement cannot be parsed correctly. Optionally takes astrict_hashes
parameter to require that all requirements have associated hashes.
Available with pip>=8.0.0
:
pip_api.hash(filename, algorithm='sha256')
Returns the resulting as a string. Valid
algorithm
parameters are'sha256'
,'sha384'
, and'sha512'
Available with pip>=19.2
:
pip_api.installed_distributions(local=False, paths=[])
As described above, but with an extra optional
paths
parameter to provide a list of locations to look for installed distributions. Attempting to use thepaths
parameter withpip<19.2
will result in aPipError
.
Use cases
This library is in use by a number of other tools, including:
pip-audit
, to analyze dependencies for known vulnerabilitiespytest-reqs
, to compare requirements files with test dependencieshashin
, to add hash pinning to requirements files- ...and many more.
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