python-infer
Options controlling which dependencies will be inferred for Python targets.
Backend: ``
Config section: [python-infer]
Basic options
conftests
--[no-]python-infer-conftests
PANTS_PYTHON_INFER_CONFTESTS
[python-infer]
conftests = <bool>
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
[python-infer]
entry_points = <bool>
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
[python-infer]
imports = <bool>
True
Infer a target's imported dependencies by parsing import statements from sources.
inits
--[no-]python-infer-inits
PANTS_PYTHON_INFER_INITS
[python-infer]
inits = <bool>
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
[python-infer]
string_imports = <bool>
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
[python-infer]
string_imports_min_dots = <int>
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
[python-infer]
unowned_dependency_behavior = <UnownedDependencyUsage>
error, warning, ignore
default:
ignore
How to handle inferred dependencies that don't have any owner.
Advanced options
None
Deprecated options
None
Related subsystems
None