python_tests
Generate a python_test
target for each file in the sources
field.
Backend: pants.backend.python
batch_compatibility_tag
str | None
None
An arbitrary value used to mark the test files belonging to this target as valid for batched execution.
It's sometimes safe to run multiple python_test
s within a single test runner process, and doing so can give significant wins by allowing reuse of expensive test setup / teardown logic. To opt into this behavior, set this field to an arbitrary non-empty string on all the python_test
targets that are safe/compatible to run in the same process.
If this field is left unset on a target, the target is assumed to be incompatible with all others and will run in a dedicated pytest
process.
If this field is set on a target, and its value is different from the value on some other test python_test
, then the two targets are explicitly incompatible and are guaranteed to not run in the same pytest
process.
If this field is set on a target, and its value is the same as the value on some other python_test
, then the two targets are explicitly compatible and may run in the same test runner process. Compatible tests may not end up in the same test runner batch if:
- There are "too many" compatible tests in a partition, as determined by the
[test].batch_size
config parameter, or - Compatible tests have some incompatibility in Pants metadata (i.e. different
resolve
s orextra_env_vars
).
When tests with the same batch_compatibility_tag
have incompatibilities in some other Pants metadata, they will be automatically split into separate batches. This way you can set a high-level batch_compatibility_tag
using __defaults__
and then have tests continue to work as you tweak BUILD metadata on specific targets.
dependencies
Iterable[str] | None
None
Addresses to other targets that this target depends on, e.g. ['helloworld/subdir:lib', 'helloworld/main.py:lib', '3rdparty:reqs#django']
.
This augments any dependencies inferred by Pants, such as by analyzing your imports. Use pants dependencies
or pants peek
on this target to get the final result.
See https://www.pantsbuild.org/2.23/docs/using-pants/key-concepts/targets-and-build-files for more about how addresses are formed, including for generated targets. You can also run pants list ::
to find all addresses in your project, or pants list dir
to find all addresses defined in that directory.
If the target is in the same BUILD file, you can leave off the BUILD file path, e.g. :tgt
instead of helloworld/subdir:tgt
. For generated first-party addresses, use ./
for the file path, e.g. ./main.py:tgt
; for all other generated targets, use :tgt#generated_name
.
You may exclude dependencies by prefixing with !
, e.g. ['!helloworld/subdir:lib', '!./sibling.txt']
. Ignores are intended for false positives with dependency inference; otherwise, simply leave off the dependency from the BUILD file.
description
str | None
None
A human-readable description of the target.
Use pants list --documented ::
to see all targets with descriptions.
entry_point_dependencies
Dict[str, Iterable[str]] | None
None
Dependencies on entry point metadata of python_distribution
targets.
This is a dict where each key is a python_distribution
address and the value is a list or tuple of entry point groups and/or entry points on that target. The strings in the value list/tuple must be one of: - "entry.point.group/entry-point-name" to depend on a named entry point - "entry.point.group" (without a "/") to depend on an entry point group - "*" to get all entry points on the target
For example:
entry_point_dependencies={
"//foo/address:dist_tgt": ["*"], # all entry points
"bar:dist_tgt": ["console_scripts"], # only from this group
"foo/bar/baz:dist_tgt": ["console_scripts/my-script"], # a single entry point
"another:dist_tgt": [ # multiple entry points
"console_scripts/my-script",
"console_scripts/another-script",
"entry.point.group/entry-point-name",
"other.group",
"gui_scripts",
],
}
Code for matching entry_points
on python_distribution
targets will be added as dependencies so that they are available on PYTHONPATH during tests.
Plus, an entry_points.txt
file will be generated in the sandbox so that each of the python_distribution
s appear to be "installed". The entry_points.txt
file will only include the entry points requested on this field. This allows the tests, or the code under test, to lookup entry points metadata using something like pkg_resources.iter_entry_points
from setuptools
.
environment
str | None
'__local__'
Specify which environment target to consume environment-sensitive options from.
Once environments are defined in [environments-preview].names
, you can specify the environment for this target by its name. Any fields that are defined in that environment will override the values from options set by pants.toml
, command line values, or environment variables.
You can specify multiple valid environments by using parametrize
. If __local__
is specified, Pants will fall back to the local_environment
defined for the current platform, or no environment if no such environment exists.
extra_env_vars
Iterable[str] | None
None
Additional environment variables to include in test processes.
Entries are strings in the form ENV_VAR=value
to use explicitly; or just ENV_VAR
to copy the value of a variable in Pants's own environment.
This will be merged with and override values from [test].extra_env_vars
.
interpreter_constraints
Iterable[str] | None
None
The Python interpreters this code is compatible with.
Each element should be written in pip-style format, e.g. CPython==2.7.*
or CPython>=3.6,<4
. You can leave off CPython
as a shorthand, e.g. >=2.7
will be expanded to CPython>=2.7
.
Specify more than one element to OR the constraints, e.g. ['PyPy==3.7.*', 'CPython==3.7.*']
means either PyPy 3.7 or CPython 3.7.
If the field is not set, it will default to the option [python].interpreter_constraints
.
See https://www.pantsbuild.org/2.23/docs/python/overview/interpreter-compatibility for how these interpreter constraints are merged with the constraints of dependencies.
overrides
Dict[Union[str, Tuple[str, ...]], Dict[str, Any]] | None
None
Override the field values for generated python_test
targets.
Expects a dictionary of relative file paths and globs to a dictionary for the overrides. You may either use a string for a single path / glob, or a string tuple for multiple paths / globs. Each override is a dictionary of field names to the overridden value.
For example:
overrides={
"foo_test.py": {"timeout": 120},
"bar_test.py": {"timeout": 200},
("foo_test.py", "bar_test.py"): {"tags": ["slow_tests"]},
}
File paths and globs are relative to the BUILD file's directory. Every overridden file is validated to belong to this target's sources
field.
If you'd like to override a field's value for every python_test
target generated by this target, change the field directly on this target rather than using the overrides
field.
You can specify the same file name in multiple keys, so long as you don't override the same field more than one time for the file.
resolve
str | None
None
The resolve from [python].resolves
to use.
If not defined, will default to [python].default_resolve
.
All dependencies must share the same value for their resolve
field.
run_goal_use_sandbox
bool | None
None
Whether to use a sandbox when run
ning this target. Defaults to [python].default_run_goal_use_sandbox
.
If true, runs of this target with the run
goal will copy the needed first-party sources into a temporary sandbox and run from there.
If false, runs of this target with the run
goal will use the in-repo sources directly.
Note that this field only applies when running a target with the run
goal. No other goals (such as test
, if applicable) consult this field.
The former mode is more hermetic, and is closer to building and running the source as it were packaged in a pex_binary
. Additionally, it may be necessary if your sources depend transitively on "generated" files which will be materialized in the sandbox in a source root, but are not in-repo.
The latter mode is similar to creating, activating, and using a virtual environment when running your files. It may also be necessary if the source being run writes files into the repo and computes their location relative to the executed files. Django's makemigrations
command is an example of such a process.
runtime_package_dependencies
Iterable[str] | None
None
Addresses to targets that can be built with the pants package
goal and whose resulting artifacts should be included in the test run.
Pants will build the artifacts as if you had run pants package
. It will include the results in your test's chroot, using the same name they would normally have, but without the --distdir
prefix (e.g. dist/
).
You can include anything that can be built by pants package
, e.g. a pex_binary
, python_aws_lambda_function
, or an archive
.
skip_add_trailing_comma
bool
False
pants.backend.experimental.python.lint.add_trailing_comma
If true, don't run add-trailing-comma on this target's code.
skip_autoflake
bool
False
pants.backend.python.lint.autoflake
If true, don't run Autoflake on this target's code.
skip_bandit
bool
False
pants.backend.python.lint.bandit
If true, don't run Bandit on this target's code.
skip_black
bool
False
pants.backend.python.lint.black
If true, don't run Black on this target's code.
skip_docformatter
bool
False
pants.backend.python.lint.docformatter
If true, don't run Docformatter on this target's code.
skip_flake8
bool
False
pants.backend.python.lint.flake8
If true, don't run Flake8 on this target's code.
skip_isort
bool
False
pants.backend.python.lint.isort
If true, don't run isort on this target's code.
skip_mypy
bool
False
pants.backend.python.typecheck.mypy
If true, don't run MyPy on this target's code.
skip_pydocstyle
bool
False
pants.backend.python.lint.pydocstyle
If true, don't run pydocstyle on this target's code.
skip_pylint
bool
False
pants.backend.python.lint.pylint
If true, don't run Pylint on this target's code.
skip_pyright
bool
False
pants.backend.experimental.python.typecheck.pyright
If true, don't run Pyright on this target's code.
skip_pytype
bool
False
pants.backend.experimental.python.typecheck.pytype
If true, don't run pytype on this target's code.
skip_pyupgrade
bool
False
pants.backend.python.lint.pyupgrade
If true, don't run pyupgrade on this target's code.
skip_ruff
bool
False
pants.backend.experimental.python.lint.ruff.check
If True, do not run any Ruff tools on this target's code.
skip_ruff_check
bool
False
pants.backend.experimental.python.lint.ruff.check
If true, don't run the ruff checker on this target's code.
skip_ruff_format
bool
False
pants.backend.experimental.python.lint.ruff.format
If true, don't run the ruff formatter on this target's code.
skip_tests
bool
False
If true, don't run this target's tests.
skip_yapf
bool
False
pants.backend.python.lint.yapf
If true, don't run yapf on this target's code.
sources
Iterable[str] | None
('test_*.py', '*_test.py', 'tests.py')
A list of files and globs that belong to this target.
Paths are relative to the BUILD file's directory. You can ignore files/globs by prefixing them with !
.
Example: sources=['test_*.py', '*_test.py', 'tests.py']
stevedore_namespaces
Iterable[str] | None
None
pants.backend.experimental.python.framework.stevedore
List the stevedore namespaces required by this target.
Code for all entry_points
on python_distribution
targets with these namespaces will be added as dependencies so that they are available on PYTHONPATH during tests. Note that this is only a subset of the python_distribution
s dependencies, so the entry_points
only need to be defined on one python_distribution
even if the test only needs some of the entry_points
namespaces on it.
Plus, an entry_points.txt
file will be generated in the sandbox so that each of the python_distribution
s appear to be "installed". The entry_points.txt
file will only include the namespaces requested on this field. Without this, stevedore would not be able to look up plugins in the setuptools entry_points
metadata.
NOTE: Each python_distribution
must opt-in to being included in this repo-wide inference by tagging the namespaces with stevedore_namespace("my.stevedore.extension")
.
The stevedore namespace format (my.stevedore.extension
) is similar to a Python namespace.
tags
Iterable[str] | None
None
Arbitrary strings to describe a target.
For example, you may tag some test targets with 'integration_test' so that you could run pants --tag='integration_test' test ::
to only run on targets with that tag.
timeout
int | None
None
A timeout (in seconds) used by each test file belonging to this target.
If unset, will default to [test].timeout_default
; if that option is also unset, then the test will never time out. Will never exceed [test].timeout_maximum
. Only applies if the option --test-timeouts
is set to true (the default).
xdist_concurrency
int | None
None
Maximum number of CPUs to allocate to run each test file belonging to this target.
Tests are spread across multiple CPUs using pytest-xdist
(https://pytest-xdist.readthedocs.io/en/latest/index.html). Use of pytest-xdist
must be enabled using the [pytest].xdist_enabled
option for this field to have an effect.
If pytest-xdist
is enabled and this field is unset, Pants will attempt to derive the concurrency for test sources by counting the number of tests in each file.
Set this field to 0
to explicitly disable use of pytest-xdist
for a target.