When I refactor code I often find myself tediously adding type annotations that are obvious from context: functions that don't return anything, boolean flags, etcetera. That's where autotyping comes in: it automatically adds those types and inserts the right annotations.

It is built as a LibCST codemod; see the LibCST documentation for more information on how to use codemods.

Here's how to use it:

• pip install autotyping
• Make sure you have a .libcst.codemod.yaml with 'autotyping' in the modules list. For an example, see the .libcst.codemod.yaml in this repo.
• Run python -m libcst.tool codemod autotyping.AutotypeCommand /path/to/my/code

By default it does nothing; you have to add flags to make it do more transformations. The following are supported:

• Annotating return types:
  • --none-return: add a -> None return type to functions without any return, yield, or raise in their body
  • --scalar-return: add a return annotation to functions that only return literal bool, str, bytes, int, or float objects.
• Annotating parameter types:
  • --bool-param: add a : bool annotation to any function parameter with a default of True or False
  • --int-param, --float-param, --str-param, --bytes-param: add an annotation to any parameter for which the default is a literal int, float, str, or bytes object
  • --annotate-optional foo:bar.Baz: for any parameter of the form foo=None, add Baz, imported from bar, as the type. For example, use --annotate-optional uid:my_types.Uid to annotate any uid in your codebase with a None default as Optional[my_types.Uid].
  • --annotate-named-param foo:bar.Baz: annotate any parameter with no default that is named foo with bar.Baz. For example, use --annotate-named-param uid:my_types.Uid to annotate any uid parameter in your codebase with no default as my_types.Uid.
• Annotating magical methods:
  • --annotate-magics: add type annotation to certain magic methods. Currently this does the following:
    • __str__ returns str
    • __repr__ returns str
    • __len__ returns int
    • __init__ returns None
    • __del__ returns None
    • __bool__ returns bool
    • __bytes__ returns bytes
    • __format__ returns str
    • __contains__ returns bool
    • __complex__ returns complex
    • __int__ returns int
    • __float__ returns float
    • __index__ returns int
    • __exit__: the three parameters are Optional[Type[BaseException]], Optional[BaseException], and Optional[TracebackType]
    • __aexit__: same as __exit__
  • --annotate-imprecise-magics: add imprecise type annotations for some additional magic methods. Currently this adds typing.Iterator return annotations to __iter__, __await__, and __reversed__. These annotations should have a generic parameter to indicate what you're iterating over, but that's too hard for autotyping to figure out.
• External integrations
  • --pyanalyze-report: takes types suggested by pyanalyze's suggested_parameter_type and suggested_return_type codes and applies them.
  • --only-without-imports: only apply pyanalyze suggestions that do not require new imports. This is useful because suggestions that require imports may need more manual work.

There are two shortcut flags to enable multiple transformations at once:

• --safe enables changes that should always be safe. This includes --none-return, --scalar-return, and --annotate-magics.
• --aggressive enables riskier changes that are more likely to produce new type checker errors. It includes all of --safe as well as --bool-param, --int-param, --float-param, --str-param, --bytes-param, and --annotate-imprecise-magics.

22.9.0 (September 5, 2022)

• Add --safe and --aggressive
• Add --pyanalyze-report
• Do not add None return types to methods marked with @abstractmethod and to methods in stub files
• Improve type inference:
  • "string" % ... is always str
  • b"bytes" % ... is always bytes
  • An and or or operator where left and right sides are of the same type returns that type
  • is, is not, in, and not in always return bool

21.12.0 (December 21, 2021)

• Initial PyPI release