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Version: 2.10 (deprecated)

python-infer

Options controlling which dependencies will be inferred for Python targets.

Backend: pants.backend.python

Config section: [python-infer]

Basic options​

conftests​

--[no-]python-infer-conftests
PANTS_PYTHON_INFER_CONFTESTS
pants.toml
[python-infer]
conftests = <bool>
default: True

Infer a test target's dependencies on any conftest.py files in the current directory and ancestor directories.

entry_points​

--[no-]python-infer-entry-points
PANTS_PYTHON_INFER_ENTRY_POINTS
pants.toml
[python-infer]
entry_points = <bool>
default: True

Infer dependencies on targets' entry points, e.g. pex_binary's entry_point field, python_awslambda's handler field and python_distribution's entry_points field.

imports​

--[no-]python-infer-imports
PANTS_PYTHON_INFER_IMPORTS
pants.toml
[python-infer]
imports = <bool>
default: True

Infer a target's imported dependencies by parsing import statements from sources.

inits​

--[no-]python-infer-inits
PANTS_PYTHON_INFER_INITS
pants.toml
[python-infer]
inits = <bool>
default: False

Infer a target's dependencies on any __init__.py files in the packages it is located in (recursively upward in the directory structure).

Even if this is disabled, Pants will still include any ancestor __init__.py files, only they will not be 'proper' dependencies, e.g. they will not show up in ./pants dependencies and their own dependencies will not be used.

If you have empty __init__.py files, it's safe to leave this option off; otherwise, you should enable this option.

string_imports​

--[no-]python-infer-string-imports
PANTS_PYTHON_INFER_STRING_IMPORTS
pants.toml
[python-infer]
string_imports = <bool>
default: False

Infer a target's dependencies based on strings that look like dynamic dependencies, such as Django settings files expressing dependencies as strings. To ignore any false positives, put !{bad_address} in the dependencies field of your target.

string_imports_min_dots​

--python-infer-string-imports-min-dots=<int>
PANTS_PYTHON_INFER_STRING_IMPORTS_MIN_DOTS
pants.toml
[python-infer]
string_imports_min_dots = <int>
default: 2

If --string-imports is True, treat valid-looking strings with at least this many dots in them as potential dynamic dependencies. E.g., 'foo.bar.Baz' will be treated as a potential dependency if this option is set to 2 but not if set to 3.

unowned_dependency_behavior​

--python-infer-unowned-dependency-behavior=<UnownedDependencyUsage>
PANTS_PYTHON_INFER_UNOWNED_DEPENDENCY_BEHAVIOR
pants.toml
[python-infer]
unowned_dependency_behavior = <UnownedDependencyUsage>
one of: error, warning, ignore
default: ignore

How to handle inferred dependencies that don't have any owner.

Advanced options​

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Deprecated options​

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